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Powered by AI, Base by Base offers a new way to learn on the go. Special thanks to authors who publish under CC BY 4.0, making open-access science faster to share and easier to explore.</description>
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                <itunes:subtitle>Base by Base explores advances in genetics and genomics, with a focus on gene-disease associations, variant interpretation, protein structure, and insights from exome and genome sequencing. Each episode breaks down key studies and their clinical relevance—one base at a time.

Powered by AI, Base by Base offers a new way to learn on the go. Special thanks to authors who publish under CC BY 4.0, making open-access science faster to share and easier to explore.</itunes:subtitle>
        <itunes:author>Gustavo Barra</itunes:author>
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        <itunes:summary>Base by Base explores advances in genetics and genomics, with a focus on gene-disease associations, variant interpretation, protein structure, and insights from exome and genome sequencing. Each episode breaks down key studies and their clinical relevance—one base at a time.

Powered by AI, Base by Base offers a new way to learn on the go. Special thanks to authors who publish under CC BY 4.0, making open-access science faster to share and easier to explore.</itunes:summary>
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                <title>
                    <![CDATA[369: NEK2 drives EBV-positive NHL pathogenesis]]>
                </title>
                <pubDate>Sat, 16 May 2026 10:45:51 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                    <link>https://basebybase.castos.com/episodes/nek2-drives-ebv-positive-nhl</link>
                                <description>
                                            <![CDATA[<p>White MC et al., PNAS - This episode reviews a PNAS study showing that the kinase NEK2 is upregulated by EBV and its latency proteins and that NEK2 inhibition with the irreversible inhibitor JH295 selectively kills EBV-positive non-Hodgkin lymphoma cells, lowers drug resistance, and reduces tumor burden in mouse models. Key terms: NEK2, EBV, non-Hodgkin lymphoma, LMP1, drug resistance.</p>
<p> Study Highlights:<br />EBV infection and the latency proteins EBNA1, LMP1, and EBNA2 increase NEK2 expression in human B cells and patient tumors. Genetic depletion or pharmacologic inhibition of NEK2 with JH295 selectively kills EBV-positive NHL cells and induces inflammatory, ROS-associated cell death with gasdermin D cleavage. NEK2 inhibition reduces LMP1 and c-myc expression, decreases ABC transporter expression and MRP1-mediated drug efflux, and sensitizes cells to doxorubicin. In xenograft and cord blood-humanized mouse models JH295 lowered tumor burden, reduced tumor incidence, and prolonged survival without observable toxicity.</p>
<p> Conclusion:<br />NEK2 is a promising therapeutic target in EBV-positive non-Hodgkin lymphoma; NEK2 inhibition by JH295 both kills malignant cells and reduces drug resistance and viral oncoprotein expression in preclinical models.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />NEK2 drives pathogenesis, drug resistance, and LMP1 expression in EBV-positive non-Hodgkin lymphoma</p>
<p> First author:<br />White MC</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2535550123</p>
<p> Reference:<br />White MC, Lange PT, Stewart J, Damania B. NEK2 drives pathogenesis, drug resistance, and LMP1 expression in EBV-positive non-Hodgkin lymphoma. Proc Natl Acad Sci U S A. 2026;123:e2535550123. doi:10.1073/pnas.2535550123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nek2-drives-ebv-positive-nhl</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript passages on EBV-induced NEK2 upregulation, NEK2 inhibition mechanisms (ROS, gasdermin D), downstream effects (LMP1, c-Myc, beta-catenin, Bcl-2 family), MRP1/ABC transporters and drug resistance, and in vivo xenograft and cord blood–humanized mouse results.<br />- transcript topics: EBV-induced NEK2 upregulation in primary B cells; EBV latency proteins EBNA1, LMP1, EBNA2 drive NEK2 expression; JH295 NEK2 inhibitor and EBV+ NHL selectivity; Inflammatory cell death: ROS accumulation and gasdermin D cleavage; Downregulation of LMP1, c-Myc, beta-catenin; Bcl-2 family modulation; MRP1/MDR transporters and drug resistance reversal</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- EBV latency proteins EBNA1, LMP1, EBNA2 independently drive NEK2 upregulation<br />- Primary EBV infection increases NEK2 expression in human B cells<br />- NEK2 inhibition with JH295 induces inflammatory, ROS-associated cell death with gasdermin D cleavage in EBV-positi...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[White MC et al., PNAS - This episode reviews a PNAS study showing that the kinase NEK2 is upregulated by EBV and its latency proteins and that NEK2 inhibition with the irreversible inhibitor JH295 selectively kills EBV-positive non-Hodgkin lymphoma cells, lowers drug resistance, and reduces tumor burden in mouse models. Key terms: NEK2, EBV, non-Hodgkin lymphoma, LMP1, drug resistance.
 Study Highlights:EBV infection and the latency proteins EBNA1, LMP1, and EBNA2 increase NEK2 expression in human B cells and patient tumors. Genetic depletion or pharmacologic inhibition of NEK2 with JH295 selectively kills EBV-positive NHL cells and induces inflammatory, ROS-associated cell death with gasdermin D cleavage. NEK2 inhibition reduces LMP1 and c-myc expression, decreases ABC transporter expression and MRP1-mediated drug efflux, and sensitizes cells to doxorubicin. In xenograft and cord blood-humanized mouse models JH295 lowered tumor burden, reduced tumor incidence, and prolonged survival without observable toxicity.
 Conclusion:NEK2 is a promising therapeutic target in EBV-positive non-Hodgkin lymphoma; NEK2 inhibition by JH295 both kills malignant cells and reduces drug resistance and viral oncoprotein expression in preclinical models.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:NEK2 drives pathogenesis, drug resistance, and LMP1 expression in EBV-positive non-Hodgkin lymphoma
 First author:White MC
 Journal:PNAS
 DOI:10.1073/pnas.2535550123
 Reference:White MC, Lange PT, Stewart J, Damania B. NEK2 drives pathogenesis, drug resistance, and LMP1 expression in EBV-positive non-Hodgkin lymphoma. Proc Natl Acad Sci U S A. 2026;123:e2535550123. doi:10.1073/pnas.2535550123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nek2-drives-ebv-positive-nhl
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript passages on EBV-induced NEK2 upregulation, NEK2 inhibition mechanisms (ROS, gasdermin D), downstream effects (LMP1, c-Myc, beta-catenin, Bcl-2 family), MRP1/ABC transporters and drug resistance, and in vivo xenograft and cord blood–humanized mouse results.- transcript topics: EBV-induced NEK2 upregulation in primary B cells; EBV latency proteins EBNA1, LMP1, EBNA2 drive NEK2 expression; JH295 NEK2 inhibitor and EBV+ NHL selectivity; Inflammatory cell death: ROS accumulation and gasdermin D cleavage; Downregulation of LMP1, c-Myc, beta-catenin; Bcl-2 family modulation; MRP1/MDR transporters and drug resistance reversal
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- EBV latency proteins EBNA1, LMP1, EBNA2 independently drive NEK2 upregulation- Primary EBV infection increases NEK2 expression in human B cells- NEK2 inhibition with JH295 induces inflammatory, ROS-associated cell death with gasdermin D cleavage in EBV-positi...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[369: NEK2 drives EBV-positive NHL pathogenesis]]>
                </itunes:title>
                                    <itunes:episode>369</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>White MC et al., PNAS - This episode reviews a PNAS study showing that the kinase NEK2 is upregulated by EBV and its latency proteins and that NEK2 inhibition with the irreversible inhibitor JH295 selectively kills EBV-positive non-Hodgkin lymphoma cells, lowers drug resistance, and reduces tumor burden in mouse models. Key terms: NEK2, EBV, non-Hodgkin lymphoma, LMP1, drug resistance.</p>
<p> Study Highlights:<br />EBV infection and the latency proteins EBNA1, LMP1, and EBNA2 increase NEK2 expression in human B cells and patient tumors. Genetic depletion or pharmacologic inhibition of NEK2 with JH295 selectively kills EBV-positive NHL cells and induces inflammatory, ROS-associated cell death with gasdermin D cleavage. NEK2 inhibition reduces LMP1 and c-myc expression, decreases ABC transporter expression and MRP1-mediated drug efflux, and sensitizes cells to doxorubicin. In xenograft and cord blood-humanized mouse models JH295 lowered tumor burden, reduced tumor incidence, and prolonged survival without observable toxicity.</p>
<p> Conclusion:<br />NEK2 is a promising therapeutic target in EBV-positive non-Hodgkin lymphoma; NEK2 inhibition by JH295 both kills malignant cells and reduces drug resistance and viral oncoprotein expression in preclinical models.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />NEK2 drives pathogenesis, drug resistance, and LMP1 expression in EBV-positive non-Hodgkin lymphoma</p>
<p> First author:<br />White MC</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2535550123</p>
<p> Reference:<br />White MC, Lange PT, Stewart J, Damania B. NEK2 drives pathogenesis, drug resistance, and LMP1 expression in EBV-positive non-Hodgkin lymphoma. Proc Natl Acad Sci U S A. 2026;123:e2535550123. doi:10.1073/pnas.2535550123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nek2-drives-ebv-positive-nhl</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript passages on EBV-induced NEK2 upregulation, NEK2 inhibition mechanisms (ROS, gasdermin D), downstream effects (LMP1, c-Myc, beta-catenin, Bcl-2 family), MRP1/ABC transporters and drug resistance, and in vivo xenograft and cord blood–humanized mouse results.<br />- transcript topics: EBV-induced NEK2 upregulation in primary B cells; EBV latency proteins EBNA1, LMP1, EBNA2 drive NEK2 expression; JH295 NEK2 inhibitor and EBV+ NHL selectivity; Inflammatory cell death: ROS accumulation and gasdermin D cleavage; Downregulation of LMP1, c-Myc, beta-catenin; Bcl-2 family modulation; MRP1/MDR transporters and drug resistance reversal</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- EBV latency proteins EBNA1, LMP1, EBNA2 independently drive NEK2 upregulation<br />- Primary EBV infection increases NEK2 expression in human B cells<br />- NEK2 inhibition with JH295 induces inflammatory, ROS-associated cell death with gasdermin D cleavage in EBV-positive NHL<br />- EBV-positive NHL shows decreased LMP1 and c-myc expression following NEK2 inhibition<br />- NEK2 inhibition reduces MRP1/MDR transporter expression and activity, decreasing drug efflux and increasing chemosensitivity to doxorubicin<br />- JH295 reduces tumor burden and increases survival in NKTL xenograft and cord blood–humanized mouse models, with no observable systemic toxicity</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[White MC et al., PNAS - This episode reviews a PNAS study showing that the kinase NEK2 is upregulated by EBV and its latency proteins and that NEK2 inhibition with the irreversible inhibitor JH295 selectively kills EBV-positive non-Hodgkin lymphoma cells, lowers drug resistance, and reduces tumor burden in mouse models. Key terms: NEK2, EBV, non-Hodgkin lymphoma, LMP1, drug resistance.
 Study Highlights:EBV infection and the latency proteins EBNA1, LMP1, and EBNA2 increase NEK2 expression in human B cells and patient tumors. Genetic depletion or pharmacologic inhibition of NEK2 with JH295 selectively kills EBV-positive NHL cells and induces inflammatory, ROS-associated cell death with gasdermin D cleavage. NEK2 inhibition reduces LMP1 and c-myc expression, decreases ABC transporter expression and MRP1-mediated drug efflux, and sensitizes cells to doxorubicin. In xenograft and cord blood-humanized mouse models JH295 lowered tumor burden, reduced tumor incidence, and prolonged survival without observable toxicity.
 Conclusion:NEK2 is a promising therapeutic target in EBV-positive non-Hodgkin lymphoma; NEK2 inhibition by JH295 both kills malignant cells and reduces drug resistance and viral oncoprotein expression in preclinical models.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:NEK2 drives pathogenesis, drug resistance, and LMP1 expression in EBV-positive non-Hodgkin lymphoma
 First author:White MC
 Journal:PNAS
 DOI:10.1073/pnas.2535550123
 Reference:White MC, Lange PT, Stewart J, Damania B. NEK2 drives pathogenesis, drug resistance, and LMP1 expression in EBV-positive non-Hodgkin lymphoma. Proc Natl Acad Sci U S A. 2026;123:e2535550123. doi:10.1073/pnas.2535550123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nek2-drives-ebv-positive-nhl
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript passages on EBV-induced NEK2 upregulation, NEK2 inhibition mechanisms (ROS, gasdermin D), downstream effects (LMP1, c-Myc, beta-catenin, Bcl-2 family), MRP1/ABC transporters and drug resistance, and in vivo xenograft and cord blood–humanized mouse results.- transcript topics: EBV-induced NEK2 upregulation in primary B cells; EBV latency proteins EBNA1, LMP1, EBNA2 drive NEK2 expression; JH295 NEK2 inhibitor and EBV+ NHL selectivity; Inflammatory cell death: ROS accumulation and gasdermin D cleavage; Downregulation of LMP1, c-Myc, beta-catenin; Bcl-2 family modulation; MRP1/MDR transporters and drug resistance reversal
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- EBV latency proteins EBNA1, LMP1, EBNA2 independently drive NEK2 upregulation- Primary EBV infection increases NEK2 expression in human B cells- NEK2 inhibition with JH295 induces inflammatory, ROS-associated cell death with gasdermin D cleavage in EBV-positi...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:24:30</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                <title>
                    <![CDATA[368: PARP1 and Amyloid: Protecting Neurons in a Familial AD Model]]>
                </title>
                <pubDate>Sat, 16 May 2026 10:45:41 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2464413</guid>
                                    <link>https://basebybase.castos.com/episodes/parp1-amyloid-neurodegeneration-5xfad</link>
                                <description>
                                            <![CDATA[<p>Jhaldiyal A et al., PNAS - This episode summarizes a PNAS study showing that PARP1 activation links Aβ1-42 toxicity to DNA damage, amyloid accumulation, neuroinflammation, and cognitive deficits, and that genetic or pharmacologic PARP1 suppression reduces pathology in cells and 5XFAD mice. Key terms: PARP1, poly(ADP-ribose), Alzheimer's disease, amyloid beta, neurodegeneration.</p>
<p> Study Highlights:<br />CSF poly(ADP-ribose) (PAR) is elevated in patients with MCI and AD and negatively correlates with the Aβ42/40 ratio. Oligomeric Aβ1-42 activates PARP1 in primary cortical neurons, causing DNA damage and cell death that are prevented by PARP1 inhibitors or PARP1 genetic deletion. In 5XFAD mice, PARP1 knockout halves plaque burden, preserves synapses and neurons, reduces glial activation and inflammatory gene expression, and rescues spatial learning and memory. Mechanistically, PARP1 deficiency lowers BACE1, alters γ-secretase subunits (PSEN1 up, nicastrin down), and increases the Aβ-degrading enzyme NEP2.</p>
<p> Conclusion:<br />PARP1 is a critical mediator of Aβ-driven toxicity, amyloid accumulation, neuroinflammation, and cognitive decline in a familial AD model, and its inhibition may be a promising disease-modifying strategy.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />PARP1 deficiency mitigates amyloid pathology, neurodegeneration, and cognitive decline in a familial Alzheimer’s disease model</p>
<p> First author:<br />Jhaldiyal A</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2525028123</p>
<p> Reference:<br />Jhaldiyal A., Kumari M., Guttman L. C., et al. PARP1 deficiency mitigates amyloid pathology, neurodegeneration, and cognitive decline in a familial Alzheimer’s disease model. PNAS (2026). DOI: 10.1073/pnas.2525028123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/parp1-amyloid-neurodegeneration-5xfad</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing CSF PAR elevation, Aβ42-induced PARP1 activation in neurons, in vitro neuroprotection by PARP inhibitors, in vivo 5XFAD/PARP1−/− outcomes (plaque burden, neuronal survival, gliosis, cognitive tests), APP metabolism changes, NEP2 involvement, inflammation, and translational cav<br />- transcript topics: CSF PAR elevation in MCI and AD and relation to Aβ42/40; Oligomeric Aβ42 activates PARP1 and induces DNA damage; Pharmacologic/genetic PARP1 inhibition confers neuroprotection in vitro; 5XFAD/PARP1−/− mice: reduced amyloid plaque burden and neuronal loss; APP processing changes: BACE1 reduction, PSEN1/nicastrin alterations, NEP2 up; Neuroinflammation and gliosis attenuation with PARP1 loss</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CSF PAR levels are elevated in MCI and AD and inversely correlate with the Aβ42/40 ratio<br />- Oligomeric Aβ1-42 activates PARP1 and induces DNA damage; PARP1 inhibition...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Jhaldiyal A et al., PNAS - This episode summarizes a PNAS study showing that PARP1 activation links Aβ1-42 toxicity to DNA damage, amyloid accumulation, neuroinflammation, and cognitive deficits, and that genetic or pharmacologic PARP1 suppression reduces pathology in cells and 5XFAD mice. Key terms: PARP1, poly(ADP-ribose), Alzheimer's disease, amyloid beta, neurodegeneration.
 Study Highlights:CSF poly(ADP-ribose) (PAR) is elevated in patients with MCI and AD and negatively correlates with the Aβ42/40 ratio. Oligomeric Aβ1-42 activates PARP1 in primary cortical neurons, causing DNA damage and cell death that are prevented by PARP1 inhibitors or PARP1 genetic deletion. In 5XFAD mice, PARP1 knockout halves plaque burden, preserves synapses and neurons, reduces glial activation and inflammatory gene expression, and rescues spatial learning and memory. Mechanistically, PARP1 deficiency lowers BACE1, alters γ-secretase subunits (PSEN1 up, nicastrin down), and increases the Aβ-degrading enzyme NEP2.
 Conclusion:PARP1 is a critical mediator of Aβ-driven toxicity, amyloid accumulation, neuroinflammation, and cognitive decline in a familial AD model, and its inhibition may be a promising disease-modifying strategy.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:PARP1 deficiency mitigates amyloid pathology, neurodegeneration, and cognitive decline in a familial Alzheimer’s disease model
 First author:Jhaldiyal A
 Journal:PNAS
 DOI:10.1073/pnas.2525028123
 Reference:Jhaldiyal A., Kumari M., Guttman L. C., et al. PARP1 deficiency mitigates amyloid pathology, neurodegeneration, and cognitive decline in a familial Alzheimer’s disease model. PNAS (2026). DOI: 10.1073/pnas.2525028123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/parp1-amyloid-neurodegeneration-5xfad
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing CSF PAR elevation, Aβ42-induced PARP1 activation in neurons, in vitro neuroprotection by PARP inhibitors, in vivo 5XFAD/PARP1−/− outcomes (plaque burden, neuronal survival, gliosis, cognitive tests), APP metabolism changes, NEP2 involvement, inflammation, and translational cav- transcript topics: CSF PAR elevation in MCI and AD and relation to Aβ42/40; Oligomeric Aβ42 activates PARP1 and induces DNA damage; Pharmacologic/genetic PARP1 inhibition confers neuroprotection in vitro; 5XFAD/PARP1−/− mice: reduced amyloid plaque burden and neuronal loss; APP processing changes: BACE1 reduction, PSEN1/nicastrin alterations, NEP2 up; Neuroinflammation and gliosis attenuation with PARP1 loss
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CSF PAR levels are elevated in MCI and AD and inversely correlate with the Aβ42/40 ratio- Oligomeric Aβ1-42 activates PARP1 and induces DNA damage; PARP1 inhibition...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[368: PARP1 and Amyloid: Protecting Neurons in a Familial AD Model]]>
                </itunes:title>
                                    <itunes:episode>368</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Jhaldiyal A et al., PNAS - This episode summarizes a PNAS study showing that PARP1 activation links Aβ1-42 toxicity to DNA damage, amyloid accumulation, neuroinflammation, and cognitive deficits, and that genetic or pharmacologic PARP1 suppression reduces pathology in cells and 5XFAD mice. Key terms: PARP1, poly(ADP-ribose), Alzheimer's disease, amyloid beta, neurodegeneration.</p>
<p> Study Highlights:<br />CSF poly(ADP-ribose) (PAR) is elevated in patients with MCI and AD and negatively correlates with the Aβ42/40 ratio. Oligomeric Aβ1-42 activates PARP1 in primary cortical neurons, causing DNA damage and cell death that are prevented by PARP1 inhibitors or PARP1 genetic deletion. In 5XFAD mice, PARP1 knockout halves plaque burden, preserves synapses and neurons, reduces glial activation and inflammatory gene expression, and rescues spatial learning and memory. Mechanistically, PARP1 deficiency lowers BACE1, alters γ-secretase subunits (PSEN1 up, nicastrin down), and increases the Aβ-degrading enzyme NEP2.</p>
<p> Conclusion:<br />PARP1 is a critical mediator of Aβ-driven toxicity, amyloid accumulation, neuroinflammation, and cognitive decline in a familial AD model, and its inhibition may be a promising disease-modifying strategy.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />PARP1 deficiency mitigates amyloid pathology, neurodegeneration, and cognitive decline in a familial Alzheimer’s disease model</p>
<p> First author:<br />Jhaldiyal A</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2525028123</p>
<p> Reference:<br />Jhaldiyal A., Kumari M., Guttman L. C., et al. PARP1 deficiency mitigates amyloid pathology, neurodegeneration, and cognitive decline in a familial Alzheimer’s disease model. PNAS (2026). DOI: 10.1073/pnas.2525028123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/parp1-amyloid-neurodegeneration-5xfad</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing CSF PAR elevation, Aβ42-induced PARP1 activation in neurons, in vitro neuroprotection by PARP inhibitors, in vivo 5XFAD/PARP1−/− outcomes (plaque burden, neuronal survival, gliosis, cognitive tests), APP metabolism changes, NEP2 involvement, inflammation, and translational cav<br />- transcript topics: CSF PAR elevation in MCI and AD and relation to Aβ42/40; Oligomeric Aβ42 activates PARP1 and induces DNA damage; Pharmacologic/genetic PARP1 inhibition confers neuroprotection in vitro; 5XFAD/PARP1−/− mice: reduced amyloid plaque burden and neuronal loss; APP processing changes: BACE1 reduction, PSEN1/nicastrin alterations, NEP2 up; Neuroinflammation and gliosis attenuation with PARP1 loss</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CSF PAR levels are elevated in MCI and AD and inversely correlate with the Aβ42/40 ratio<br />- Oligomeric Aβ1-42 activates PARP1 and induces DNA damage; PARP1 inhibition or deletion confers neuroprotection in vitro<br />- PARP1 deficiency in 5XFAD mice reduces plaque burden (~50%) and preserves neurons and synapses while reducing gliosis and neuroinflammation<br />- PARP1 deficiency lowers APP processing toward reduced Aβ production (BACE1 decreased; PSEN1 up; nicastrin down) and increases NEP2-mediated Aβ degradation<br />- PARP inhibitors (e.g., veliparib, rucaparib, talazoparib) block Aβ-induced PAR accumulation and protect neurons in culture<br />- Translational considerations include blood-brain barrier crossing and long-term safety concerns for chronic PARP inhibition</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Jhaldiyal A et al., PNAS - This episode summarizes a PNAS study showing that PARP1 activation links Aβ1-42 toxicity to DNA damage, amyloid accumulation, neuroinflammation, and cognitive deficits, and that genetic or pharmacologic PARP1 suppression reduces pathology in cells and 5XFAD mice. Key terms: PARP1, poly(ADP-ribose), Alzheimer's disease, amyloid beta, neurodegeneration.
 Study Highlights:CSF poly(ADP-ribose) (PAR) is elevated in patients with MCI and AD and negatively correlates with the Aβ42/40 ratio. Oligomeric Aβ1-42 activates PARP1 in primary cortical neurons, causing DNA damage and cell death that are prevented by PARP1 inhibitors or PARP1 genetic deletion. In 5XFAD mice, PARP1 knockout halves plaque burden, preserves synapses and neurons, reduces glial activation and inflammatory gene expression, and rescues spatial learning and memory. Mechanistically, PARP1 deficiency lowers BACE1, alters γ-secretase subunits (PSEN1 up, nicastrin down), and increases the Aβ-degrading enzyme NEP2.
 Conclusion:PARP1 is a critical mediator of Aβ-driven toxicity, amyloid accumulation, neuroinflammation, and cognitive decline in a familial AD model, and its inhibition may be a promising disease-modifying strategy.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:PARP1 deficiency mitigates amyloid pathology, neurodegeneration, and cognitive decline in a familial Alzheimer’s disease model
 First author:Jhaldiyal A
 Journal:PNAS
 DOI:10.1073/pnas.2525028123
 Reference:Jhaldiyal A., Kumari M., Guttman L. C., et al. PARP1 deficiency mitigates amyloid pathology, neurodegeneration, and cognitive decline in a familial Alzheimer’s disease model. PNAS (2026). DOI: 10.1073/pnas.2525028123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/parp1-amyloid-neurodegeneration-5xfad
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing CSF PAR elevation, Aβ42-induced PARP1 activation in neurons, in vitro neuroprotection by PARP inhibitors, in vivo 5XFAD/PARP1−/− outcomes (plaque burden, neuronal survival, gliosis, cognitive tests), APP metabolism changes, NEP2 involvement, inflammation, and translational cav- transcript topics: CSF PAR elevation in MCI and AD and relation to Aβ42/40; Oligomeric Aβ42 activates PARP1 and induces DNA damage; Pharmacologic/genetic PARP1 inhibition confers neuroprotection in vitro; 5XFAD/PARP1−/− mice: reduced amyloid plaque burden and neuronal loss; APP processing changes: BACE1 reduction, PSEN1/nicastrin alterations, NEP2 up; Neuroinflammation and gliosis attenuation with PARP1 loss
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CSF PAR levels are elevated in MCI and AD and inversely correlate with the Aβ42/40 ratio- Oligomeric Aβ1-42 activates PARP1 and induces DNA damage; PARP1 inhibition...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2464413/c1a-p6xp7-1p2pmm0zi14k-jvjdoc.png"></itunes:image>
                                                                            <itunes:duration>00:26:43</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[367: Ancestral Splice Variation Fuels Cichlid Jaw Diversification]]>
                </title>
                <pubDate>Fri, 15 May 2026 07:59:14 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2463405</guid>
                                    <link>https://basebybase.castos.com/episodes/ancestral-splice-variation-african-cichlids</link>
                                <description>
                                            <![CDATA[<p>Singh P et al., PNAS - This paper compares alternative splicing (AS) and gene expression (GE) across 200 transcriptomes from oral and pharyngeal jaws of 18 haplochromine cichlid species across Lakes Victoria, Malawi, and Tanganyika. The authors show that rapid changes in AS, often from low-frequency ancestral isoforms and some novel isoforms, contributed more to early trophic diversification than shifts in GE. Key terms: alternative splicing, adaptive radiation, cichlids, gene regulation, craniofacial development.</p>
<p> Study Highlights:<br />Using 200 jaw transcriptomes spanning three East African cichlid radiations, the authors found that alternative splicing (AS) diverged faster than gene expression (GE) and was enriched for craniofacial and jaw morphogenesis genes. Most adaptive isoforms were present at low levels in nonradiating ancestral lineages and increased in frequency in radiating lineages, consistent with standing splice variation fueling rapid adaptation. A subset of novel isoforms evolved rapidly, some within a few thousand years, and mapped to candidate craniofacial genes such as col21a1. Younger radiations (Victoria, Malawi) showed stronger AS divergence while the older Tanganyika radiation displayed more GE differences.</p>
<p> Conclusion:<br />Ancestral alternative splice variation, supplemented by rapidly evolved novel isoforms, provided a labile reservoir of protein-coding diversity that likely enabled the extremely rapid trophic diversification of African cichlid radiations; integrating splicing into regulatory perspectives is essential to understand rapid adaptive evolution.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Ancestral splice variation is a key substrate for rapid diversification in African cichlids</p>
<p> First author:<br />Singh P</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2516477123</p>
<p> Reference:<br />Singh P., Ahi E.P., Duenser A., Durdevic M., Gessl W., Schaeffer S., Gall J., Seehausen O., Sturmbauer C. Ancestral splice variation is a key substrate for rapid diversification in African cichlids. PNAS. 2026;123(20):e2516477123. doi:10.1073/pnas.2516477123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ancestral-splice-variation-african-cichlids</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing AS vs GE dynamics, ancestral standing variation, novel isoforms (col21a1), lake-by-lake evolutionary patterns, and convergent/trophic evolution; cross-checked against the original article.<br />- transcript topics: Adaptive radiation and jaw anatomy in African cichlids; Gene expression vs alternative splicing (GE vs AS); Ancestral standing variation and novel isoforms; Temporal patterns: young vs old radiations (Victoria/Malawi vs Tanganyika); Key genes: col21a1 and craniofacial pathways; Convergent vs divergent regulation across radiations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Singh P et al., PNAS - This paper compares alternative splicing (AS) and gene expression (GE) across 200 transcriptomes from oral and pharyngeal jaws of 18 haplochromine cichlid species across Lakes Victoria, Malawi, and Tanganyika. The authors show that rapid changes in AS, often from low-frequency ancestral isoforms and some novel isoforms, contributed more to early trophic diversification than shifts in GE. Key terms: alternative splicing, adaptive radiation, cichlids, gene regulation, craniofacial development.
 Study Highlights:Using 200 jaw transcriptomes spanning three East African cichlid radiations, the authors found that alternative splicing (AS) diverged faster than gene expression (GE) and was enriched for craniofacial and jaw morphogenesis genes. Most adaptive isoforms were present at low levels in nonradiating ancestral lineages and increased in frequency in radiating lineages, consistent with standing splice variation fueling rapid adaptation. A subset of novel isoforms evolved rapidly, some within a few thousand years, and mapped to candidate craniofacial genes such as col21a1. Younger radiations (Victoria, Malawi) showed stronger AS divergence while the older Tanganyika radiation displayed more GE differences.
 Conclusion:Ancestral alternative splice variation, supplemented by rapidly evolved novel isoforms, provided a labile reservoir of protein-coding diversity that likely enabled the extremely rapid trophic diversification of African cichlid radiations; integrating splicing into regulatory perspectives is essential to understand rapid adaptive evolution.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Ancestral splice variation is a key substrate for rapid diversification in African cichlids
 First author:Singh P
 Journal:PNAS
 DOI:10.1073/pnas.2516477123
 Reference:Singh P., Ahi E.P., Duenser A., Durdevic M., Gessl W., Schaeffer S., Gall J., Seehausen O., Sturmbauer C. Ancestral splice variation is a key substrate for rapid diversification in African cichlids. PNAS. 2026;123(20):e2516477123. doi:10.1073/pnas.2516477123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ancestral-splice-variation-african-cichlids
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing AS vs GE dynamics, ancestral standing variation, novel isoforms (col21a1), lake-by-lake evolutionary patterns, and convergent/trophic evolution; cross-checked against the original article.- transcript topics: Adaptive radiation and jaw anatomy in African cichlids; Gene expression vs alternative splicing (GE vs AS); Ancestral standing variation and novel isoforms; Temporal patterns: young vs old radiations (Victoria/Malawi vs Tanganyika); Key genes: col21a1 and craniofacial pathways; Convergent vs divergent regulation across radiations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[367: Ancestral Splice Variation Fuels Cichlid Jaw Diversification]]>
                </itunes:title>
                                    <itunes:episode>367</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Singh P et al., PNAS - This paper compares alternative splicing (AS) and gene expression (GE) across 200 transcriptomes from oral and pharyngeal jaws of 18 haplochromine cichlid species across Lakes Victoria, Malawi, and Tanganyika. The authors show that rapid changes in AS, often from low-frequency ancestral isoforms and some novel isoforms, contributed more to early trophic diversification than shifts in GE. Key terms: alternative splicing, adaptive radiation, cichlids, gene regulation, craniofacial development.</p>
<p> Study Highlights:<br />Using 200 jaw transcriptomes spanning three East African cichlid radiations, the authors found that alternative splicing (AS) diverged faster than gene expression (GE) and was enriched for craniofacial and jaw morphogenesis genes. Most adaptive isoforms were present at low levels in nonradiating ancestral lineages and increased in frequency in radiating lineages, consistent with standing splice variation fueling rapid adaptation. A subset of novel isoforms evolved rapidly, some within a few thousand years, and mapped to candidate craniofacial genes such as col21a1. Younger radiations (Victoria, Malawi) showed stronger AS divergence while the older Tanganyika radiation displayed more GE differences.</p>
<p> Conclusion:<br />Ancestral alternative splice variation, supplemented by rapidly evolved novel isoforms, provided a labile reservoir of protein-coding diversity that likely enabled the extremely rapid trophic diversification of African cichlid radiations; integrating splicing into regulatory perspectives is essential to understand rapid adaptive evolution.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Ancestral splice variation is a key substrate for rapid diversification in African cichlids</p>
<p> First author:<br />Singh P</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2516477123</p>
<p> Reference:<br />Singh P., Ahi E.P., Duenser A., Durdevic M., Gessl W., Schaeffer S., Gall J., Seehausen O., Sturmbauer C. Ancestral splice variation is a key substrate for rapid diversification in African cichlids. PNAS. 2026;123(20):e2516477123. doi:10.1073/pnas.2516477123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ancestral-splice-variation-african-cichlids</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing AS vs GE dynamics, ancestral standing variation, novel isoforms (col21a1), lake-by-lake evolutionary patterns, and convergent/trophic evolution; cross-checked against the original article.<br />- transcript topics: Adaptive radiation and jaw anatomy in African cichlids; Gene expression vs alternative splicing (GE vs AS); Ancestral standing variation and novel isoforms; Temporal patterns: young vs old radiations (Victoria/Malawi vs Tanganyika); Key genes: col21a1 and craniofacial pathways; Convergent vs divergent regulation across radiations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Transcript describes AS evolving faster than GE; AS divergence aligns with species/diet and not just tissue.<br />- Transcript cites ancestral standing variation: 86.0% of genes and 73.0% of isoforms present in riverine ancestors and radiations.<br />- Transcript notes novel isoforms (34 identified) with col21a1 isoforms linked to hypertrophied lips in Lake Victoria radiants.<br />- Transcript reports lake-by-lake patterns: Victoria/Malawi rely on AS for rapid jaw divergence; Tanganyika relies more on GE over time.<br />- Transcript mentions convergent differential expression in multiple lakes (e.g., odam) and convergent trophic evolution.<br />- Transcript emphasizes a two-phase view: AS provides rapid adaptive changes; GE provides longer-term tuning.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2463405/c1e-p6xp7cwx96ki4n42o-47473z0ohjvg-lybe6d.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2463405&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fancestral-splice-variation-african-cichlids&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=1c096d8c1391b9dd359b4d4dffd969077032c013101530e6c5c4d6ac553ec283" length="32937453"
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                                <itunes:summary>
                    <![CDATA[Singh P et al., PNAS - This paper compares alternative splicing (AS) and gene expression (GE) across 200 transcriptomes from oral and pharyngeal jaws of 18 haplochromine cichlid species across Lakes Victoria, Malawi, and Tanganyika. The authors show that rapid changes in AS, often from low-frequency ancestral isoforms and some novel isoforms, contributed more to early trophic diversification than shifts in GE. Key terms: alternative splicing, adaptive radiation, cichlids, gene regulation, craniofacial development.
 Study Highlights:Using 200 jaw transcriptomes spanning three East African cichlid radiations, the authors found that alternative splicing (AS) diverged faster than gene expression (GE) and was enriched for craniofacial and jaw morphogenesis genes. Most adaptive isoforms were present at low levels in nonradiating ancestral lineages and increased in frequency in radiating lineages, consistent with standing splice variation fueling rapid adaptation. A subset of novel isoforms evolved rapidly, some within a few thousand years, and mapped to candidate craniofacial genes such as col21a1. Younger radiations (Victoria, Malawi) showed stronger AS divergence while the older Tanganyika radiation displayed more GE differences.
 Conclusion:Ancestral alternative splice variation, supplemented by rapidly evolved novel isoforms, provided a labile reservoir of protein-coding diversity that likely enabled the extremely rapid trophic diversification of African cichlid radiations; integrating splicing into regulatory perspectives is essential to understand rapid adaptive evolution.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Ancestral splice variation is a key substrate for rapid diversification in African cichlids
 First author:Singh P
 Journal:PNAS
 DOI:10.1073/pnas.2516477123
 Reference:Singh P., Ahi E.P., Duenser A., Durdevic M., Gessl W., Schaeffer S., Gall J., Seehausen O., Sturmbauer C. Ancestral splice variation is a key substrate for rapid diversification in African cichlids. PNAS. 2026;123(20):e2516477123. doi:10.1073/pnas.2516477123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ancestral-splice-variation-african-cichlids
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing AS vs GE dynamics, ancestral standing variation, novel isoforms (col21a1), lake-by-lake evolutionary patterns, and convergent/trophic evolution; cross-checked against the original article.- transcript topics: Adaptive radiation and jaw anatomy in African cichlids; Gene expression vs alternative splicing (GE vs AS); Ancestral standing variation and novel isoforms; Temporal patterns: young vs old radiations (Victoria/Malawi vs Tanganyika); Key genes: col21a1 and craniofacial pathways; Convergent vs divergent regulation across radiations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2463405/c1a-p6xp7-9jgjm7z2c6p8-4pxxrt.png"></itunes:image>
                                                                            <itunes:duration>00:22:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[366: BRCA1P1 suppresses antiviral and antitumor immunity]]>
                </title>
                <pubDate>Fri, 15 May 2026 07:55:56 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2463402</guid>
                                    <link>https://basebybase.castos.com/episodes/brca1p1-pseudogene-antiviral-immunity</link>
                                <description>
                                            <![CDATA[<p>Han YJ et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines a PNAS study showing that the BRCA1 pseudogene BRCA1P1 produces circular RNAs that suppress antiviral innate immunity in human cancers; depleting BRCA1P1 activates interferon-stimulated genes, increases apoptosis and chemosensitivity, and enhances immune clearance in preclinical models. Key terms: BRCA1P1, pseudogene, circular RNA, antiviral immunity, breast cancer.</p>
<p> Study Highlights:<br />BRCA1P1 is expressed broadly across human cancer cell lines and is elevated in breast tumors. The majority of BRCA1P1 transcripts are circular RNAs that bind the NF-κB subunit RelA to attenuate NF-κB–driven antiviral gene transcription. Loss of BRCA1P1 by ASO or CRISPR induces ISGs, IFNβ and TNF, increases apoptosis and sensitivity to chemotherapy, and enhances macrophage phagocytosis. In patient-derived organoids and humanized mouse xenografts BRCA1P1 depletion reduces tumor viability and increases T cell and M1 macrophage infiltration.</p>
<p> Conclusion:<br />BRCA1P1-derived circular RNAs act as immunosuppressive regulators of antiviral and antitumor immunity in human cancers, and targeting BRCA1P1 activates antiviral programs that reduce tumor growth and boost immune infiltration.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Regulation of antiviral and antitumor immunity by the BRCA1 pseudogene in human cancers</p>
<p> First author:<br />Han YJ</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2528911123</p>
<p> Reference:<br />Han YJ, Zhang J, Shariff M, Wu S, Khramtsova G, Nguyen LC, Peiffer DS, Li N, Lewicka A, Moore M, Piccirilli JA, Olopade OI. Regulation of antiviral and antitumor immunity by the BRCA1 pseudogene in human cancers. Proc Natl Acad Sci U S A. 2026;123(19):e2528911123. doi:10.1073/pnas.2528911123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/brca1p1-pseudogene-antiviral-immunity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing BRCA1P1 background, circular RNA nature, RelA/NF-κB interaction, depletion experiments (ASO/CRISPR), pancancer expression, antiviral gene upregulation, apoptosis, chemotherapy sensitivity, immune infiltration, PDOs, and humanized mouse models, plus clinical implications and de<br />- transcript topics: BRCA1P1 background and primate-specificity; BRCA1P1 circular RNA and RelA/NF-κB interaction; BRCA1P1 depletion methods (ASO, CRISPR) and pancancer scope; Antiviral gene induction and cytokine responses; Apoptosis and chemotherapy sensitivity after BRCA1P1 loss; Macrophage phagocytosis and T cell infiltration</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- BRCA1P1 is a primate-specific, chimeric BRCA1/RPLP1 pseudogene; majority of BRCA1P1 transcripts are circular RNAs (~70-80%).<br />- BRC...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Han YJ et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines a PNAS study showing that the BRCA1 pseudogene BRCA1P1 produces circular RNAs that suppress antiviral innate immunity in human cancers; depleting BRCA1P1 activates interferon-stimulated genes, increases apoptosis and chemosensitivity, and enhances immune clearance in preclinical models. Key terms: BRCA1P1, pseudogene, circular RNA, antiviral immunity, breast cancer.
 Study Highlights:BRCA1P1 is expressed broadly across human cancer cell lines and is elevated in breast tumors. The majority of BRCA1P1 transcripts are circular RNAs that bind the NF-κB subunit RelA to attenuate NF-κB–driven antiviral gene transcription. Loss of BRCA1P1 by ASO or CRISPR induces ISGs, IFNβ and TNF, increases apoptosis and sensitivity to chemotherapy, and enhances macrophage phagocytosis. In patient-derived organoids and humanized mouse xenografts BRCA1P1 depletion reduces tumor viability and increases T cell and M1 macrophage infiltration.
 Conclusion:BRCA1P1-derived circular RNAs act as immunosuppressive regulators of antiviral and antitumor immunity in human cancers, and targeting BRCA1P1 activates antiviral programs that reduce tumor growth and boost immune infiltration.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Regulation of antiviral and antitumor immunity by the BRCA1 pseudogene in human cancers
 First author:Han YJ
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2528911123
 Reference:Han YJ, Zhang J, Shariff M, Wu S, Khramtsova G, Nguyen LC, Peiffer DS, Li N, Lewicka A, Moore M, Piccirilli JA, Olopade OI. Regulation of antiviral and antitumor immunity by the BRCA1 pseudogene in human cancers. Proc Natl Acad Sci U S A. 2026;123(19):e2528911123. doi:10.1073/pnas.2528911123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/brca1p1-pseudogene-antiviral-immunity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing BRCA1P1 background, circular RNA nature, RelA/NF-κB interaction, depletion experiments (ASO/CRISPR), pancancer expression, antiviral gene upregulation, apoptosis, chemotherapy sensitivity, immune infiltration, PDOs, and humanized mouse models, plus clinical implications and de- transcript topics: BRCA1P1 background and primate-specificity; BRCA1P1 circular RNA and RelA/NF-κB interaction; BRCA1P1 depletion methods (ASO, CRISPR) and pancancer scope; Antiviral gene induction and cytokine responses; Apoptosis and chemotherapy sensitivity after BRCA1P1 loss; Macrophage phagocytosis and T cell infiltration
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- BRCA1P1 is a primate-specific, chimeric BRCA1/RPLP1 pseudogene; majority of BRCA1P1 transcripts are circular RNAs (~70-80%).- BRC...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[366: BRCA1P1 suppresses antiviral and antitumor immunity]]>
                </itunes:title>
                                    <itunes:episode>366</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Han YJ et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines a PNAS study showing that the BRCA1 pseudogene BRCA1P1 produces circular RNAs that suppress antiviral innate immunity in human cancers; depleting BRCA1P1 activates interferon-stimulated genes, increases apoptosis and chemosensitivity, and enhances immune clearance in preclinical models. Key terms: BRCA1P1, pseudogene, circular RNA, antiviral immunity, breast cancer.</p>
<p> Study Highlights:<br />BRCA1P1 is expressed broadly across human cancer cell lines and is elevated in breast tumors. The majority of BRCA1P1 transcripts are circular RNAs that bind the NF-κB subunit RelA to attenuate NF-κB–driven antiviral gene transcription. Loss of BRCA1P1 by ASO or CRISPR induces ISGs, IFNβ and TNF, increases apoptosis and sensitivity to chemotherapy, and enhances macrophage phagocytosis. In patient-derived organoids and humanized mouse xenografts BRCA1P1 depletion reduces tumor viability and increases T cell and M1 macrophage infiltration.</p>
<p> Conclusion:<br />BRCA1P1-derived circular RNAs act as immunosuppressive regulators of antiviral and antitumor immunity in human cancers, and targeting BRCA1P1 activates antiviral programs that reduce tumor growth and boost immune infiltration.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Regulation of antiviral and antitumor immunity by the BRCA1 pseudogene in human cancers</p>
<p> First author:<br />Han YJ</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2528911123</p>
<p> Reference:<br />Han YJ, Zhang J, Shariff M, Wu S, Khramtsova G, Nguyen LC, Peiffer DS, Li N, Lewicka A, Moore M, Piccirilli JA, Olopade OI. Regulation of antiviral and antitumor immunity by the BRCA1 pseudogene in human cancers. Proc Natl Acad Sci U S A. 2026;123(19):e2528911123. doi:10.1073/pnas.2528911123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/brca1p1-pseudogene-antiviral-immunity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing BRCA1P1 background, circular RNA nature, RelA/NF-κB interaction, depletion experiments (ASO/CRISPR), pancancer expression, antiviral gene upregulation, apoptosis, chemotherapy sensitivity, immune infiltration, PDOs, and humanized mouse models, plus clinical implications and de<br />- transcript topics: BRCA1P1 background and primate-specificity; BRCA1P1 circular RNA and RelA/NF-κB interaction; BRCA1P1 depletion methods (ASO, CRISPR) and pancancer scope; Antiviral gene induction and cytokine responses; Apoptosis and chemotherapy sensitivity after BRCA1P1 loss; Macrophage phagocytosis and T cell infiltration</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- BRCA1P1 is a primate-specific, chimeric BRCA1/RPLP1 pseudogene; majority of BRCA1P1 transcripts are circular RNAs (~70-80%).<br />- BRCA1P1 circRNA binds RelA (NF-κB p65) and suppresses NF-κB–driven antiviral gene transcription.<br />- BRCA1P1 depletion (via ASO or CRISPR) increases antiviral ISGs (IFIH1, IFIT3, OAS2) and cytokines (IFNB1, IL1B, TNF) across multiple cancer cell types.<br />- BRCA1P1 depletion induces apoptosis in cancer cells and increases sensitivity to doxorubicin, with minimal toxicity to nonmalignant cells.<br />- BRCA1P1 loss enhances macrophage phagocytosis and elevates CD3/CD4/CD8 T cell and CD86+ macrophage infiltration into tumors.<br />- BRCA1P1 depletion reduces viability of patient-derived organoids and decreases tumor volume in humanized mouse models.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Han YJ et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines a PNAS study showing that the BRCA1 pseudogene BRCA1P1 produces circular RNAs that suppress antiviral innate immunity in human cancers; depleting BRCA1P1 activates interferon-stimulated genes, increases apoptosis and chemosensitivity, and enhances immune clearance in preclinical models. Key terms: BRCA1P1, pseudogene, circular RNA, antiviral immunity, breast cancer.
 Study Highlights:BRCA1P1 is expressed broadly across human cancer cell lines and is elevated in breast tumors. The majority of BRCA1P1 transcripts are circular RNAs that bind the NF-κB subunit RelA to attenuate NF-κB–driven antiviral gene transcription. Loss of BRCA1P1 by ASO or CRISPR induces ISGs, IFNβ and TNF, increases apoptosis and sensitivity to chemotherapy, and enhances macrophage phagocytosis. In patient-derived organoids and humanized mouse xenografts BRCA1P1 depletion reduces tumor viability and increases T cell and M1 macrophage infiltration.
 Conclusion:BRCA1P1-derived circular RNAs act as immunosuppressive regulators of antiviral and antitumor immunity in human cancers, and targeting BRCA1P1 activates antiviral programs that reduce tumor growth and boost immune infiltration.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Regulation of antiviral and antitumor immunity by the BRCA1 pseudogene in human cancers
 First author:Han YJ
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2528911123
 Reference:Han YJ, Zhang J, Shariff M, Wu S, Khramtsova G, Nguyen LC, Peiffer DS, Li N, Lewicka A, Moore M, Piccirilli JA, Olopade OI. Regulation of antiviral and antitumor immunity by the BRCA1 pseudogene in human cancers. Proc Natl Acad Sci U S A. 2026;123(19):e2528911123. doi:10.1073/pnas.2528911123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/brca1p1-pseudogene-antiviral-immunity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing BRCA1P1 background, circular RNA nature, RelA/NF-κB interaction, depletion experiments (ASO/CRISPR), pancancer expression, antiviral gene upregulation, apoptosis, chemotherapy sensitivity, immune infiltration, PDOs, and humanized mouse models, plus clinical implications and de- transcript topics: BRCA1P1 background and primate-specificity; BRCA1P1 circular RNA and RelA/NF-κB interaction; BRCA1P1 depletion methods (ASO, CRISPR) and pancancer scope; Antiviral gene induction and cytokine responses; Apoptosis and chemotherapy sensitivity after BRCA1P1 loss; Macrophage phagocytosis and T cell infiltration
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- BRCA1P1 is a primate-specific, chimeric BRCA1/RPLP1 pseudogene; majority of BRCA1P1 transcripts are circular RNAs (~70-80%).- BRC...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2463402/c1a-p6xp7-0v0v8n4pbrvj-xjqtm0.png"></itunes:image>
                                                                            <itunes:duration>00:24:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                            </item>
                    <item>
                <title>
                    <![CDATA[365: MEN1 mutations and menin inhibitor resistance]]>
                </title>
                <pubDate>Fri, 15 May 2026 06:56:43 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2463362</guid>
                                    <link>https://basebybase.castos.com/episodes/papercast-base-by-base-menin-mutations-365</link>
                                <description>
                                            <![CDATA[<p>Bourgeois et al., Nature Communications - This study used enhanced CRISPR base editor screens, structural biology, biochemical assays, and in vitro/in vivo selection to map MEN1 mutations that drive resistance to five clinical menin inhibitors and to explain their mechanisms. Key terms: MEN1, menin inhibitors, CRISPR base editing, drug resistance, KMT2A.</p>
<p> Study Highlights:<br />CRISPR base editor screens tiled MEN1 and profiled resistance to five clinical menin inhibitors, revealing shared (M327 I/V/T, G331D) and inhibitor-specific (C334R, E368K/V, V372A) substitutions. Co-crystal structures of mutant menin bound to each inhibitor explain resistance via steric clashes or disrupted interactions and correlate with measured Ki and cellular IC50 shifts. Orthogonal in vitro selection and PDX experiments show many predicted mutations arise spontaneously under drug pressure and that higher inhibitor potency or dosing can suppress or overcome some resistant clones. The particular amino acid substitution at a residue critically determines the magnitude and breadth of resistance.</p>
<p> Conclusion:<br />Enhanced CRISPR base editing combined with structural and biological validation maps a mutational landscape in MEN1 that can produce pan-class or drug-specific resistance to menin inhibitors; these data can guide clinical monitoring, choices between inhibitors, dosing strategies, and next-generation inhibitor design.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />CRISPR base editor screening identifies spectrum of MEN1 mutations impacting menin inhibitors in clinical trials</p>
<p> First author:<br />Bourgeois</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-026-72685-1</p>
<p> Reference:<br />Bourgeois, W., Rice, H.E., Wenge, D.V. et al. CRISPR base editor screening identifies spectrum of MEN1 mutations impacting menin inhibitors in clinical trials. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72685-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/papercast-base-by-base-menin-mutations-365</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the CRISPR base editor screen identifying MEN1 mutations that affect five clinical menin inhibitors, including shared vs inhibitor-specific mutations, biochemical and structural validation, and in vivo PDX confirmation, as well as dose-related resistance dynamics and limitatio<br />- transcript topics: Menin-KMT2A interaction and menin inhibitors in leukemia; CRISPR base editor screen design and MV4;11 cells; Shared and inhibitor-specific MEN1 mutations (M327, G331, T349, C334R, E368K/V, V372A); Biochemical binding: TR-FRET and Ki shifts; Structural insights: co-crystal structures; In vivo validation: PDX models</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Five inhibitors tested: DS-1594, JNJ-6617, KO-539...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Bourgeois et al., Nature Communications - This study used enhanced CRISPR base editor screens, structural biology, biochemical assays, and in vitro/in vivo selection to map MEN1 mutations that drive resistance to five clinical menin inhibitors and to explain their mechanisms. Key terms: MEN1, menin inhibitors, CRISPR base editing, drug resistance, KMT2A.
 Study Highlights:CRISPR base editor screens tiled MEN1 and profiled resistance to five clinical menin inhibitors, revealing shared (M327 I/V/T, G331D) and inhibitor-specific (C334R, E368K/V, V372A) substitutions. Co-crystal structures of mutant menin bound to each inhibitor explain resistance via steric clashes or disrupted interactions and correlate with measured Ki and cellular IC50 shifts. Orthogonal in vitro selection and PDX experiments show many predicted mutations arise spontaneously under drug pressure and that higher inhibitor potency or dosing can suppress or overcome some resistant clones. The particular amino acid substitution at a residue critically determines the magnitude and breadth of resistance.
 Conclusion:Enhanced CRISPR base editing combined with structural and biological validation maps a mutational landscape in MEN1 that can produce pan-class or drug-specific resistance to menin inhibitors; these data can guide clinical monitoring, choices between inhibitors, dosing strategies, and next-generation inhibitor design.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:CRISPR base editor screening identifies spectrum of MEN1 mutations impacting menin inhibitors in clinical trials
 First author:Bourgeois
 Journal:Nature Communications
 DOI:10.1038/s41467-026-72685-1
 Reference:Bourgeois, W., Rice, H.E., Wenge, D.V. et al. CRISPR base editor screening identifies spectrum of MEN1 mutations impacting menin inhibitors in clinical trials. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72685-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/papercast-base-by-base-menin-mutations-365
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the CRISPR base editor screen identifying MEN1 mutations that affect five clinical menin inhibitors, including shared vs inhibitor-specific mutations, biochemical and structural validation, and in vivo PDX confirmation, as well as dose-related resistance dynamics and limitatio- transcript topics: Menin-KMT2A interaction and menin inhibitors in leukemia; CRISPR base editor screen design and MV4;11 cells; Shared and inhibitor-specific MEN1 mutations (M327, G331, T349, C334R, E368K/V, V372A); Biochemical binding: TR-FRET and Ki shifts; Structural insights: co-crystal structures; In vivo validation: PDX models
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Five inhibitors tested: DS-1594, JNJ-6617, KO-539...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[365: MEN1 mutations and menin inhibitor resistance]]>
                </itunes:title>
                                    <itunes:episode>365</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Bourgeois et al., Nature Communications - This study used enhanced CRISPR base editor screens, structural biology, biochemical assays, and in vitro/in vivo selection to map MEN1 mutations that drive resistance to five clinical menin inhibitors and to explain their mechanisms. Key terms: MEN1, menin inhibitors, CRISPR base editing, drug resistance, KMT2A.</p>
<p> Study Highlights:<br />CRISPR base editor screens tiled MEN1 and profiled resistance to five clinical menin inhibitors, revealing shared (M327 I/V/T, G331D) and inhibitor-specific (C334R, E368K/V, V372A) substitutions. Co-crystal structures of mutant menin bound to each inhibitor explain resistance via steric clashes or disrupted interactions and correlate with measured Ki and cellular IC50 shifts. Orthogonal in vitro selection and PDX experiments show many predicted mutations arise spontaneously under drug pressure and that higher inhibitor potency or dosing can suppress or overcome some resistant clones. The particular amino acid substitution at a residue critically determines the magnitude and breadth of resistance.</p>
<p> Conclusion:<br />Enhanced CRISPR base editing combined with structural and biological validation maps a mutational landscape in MEN1 that can produce pan-class or drug-specific resistance to menin inhibitors; these data can guide clinical monitoring, choices between inhibitors, dosing strategies, and next-generation inhibitor design.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />CRISPR base editor screening identifies spectrum of MEN1 mutations impacting menin inhibitors in clinical trials</p>
<p> First author:<br />Bourgeois</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-026-72685-1</p>
<p> Reference:<br />Bourgeois, W., Rice, H.E., Wenge, D.V. et al. CRISPR base editor screening identifies spectrum of MEN1 mutations impacting menin inhibitors in clinical trials. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72685-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/papercast-base-by-base-menin-mutations-365</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the CRISPR base editor screen identifying MEN1 mutations that affect five clinical menin inhibitors, including shared vs inhibitor-specific mutations, biochemical and structural validation, and in vivo PDX confirmation, as well as dose-related resistance dynamics and limitatio<br />- transcript topics: Menin-KMT2A interaction and menin inhibitors in leukemia; CRISPR base editor screen design and MV4;11 cells; Shared and inhibitor-specific MEN1 mutations (M327, G331, T349, C334R, E368K/V, V372A); Biochemical binding: TR-FRET and Ki shifts; Structural insights: co-crystal structures; In vivo validation: PDX models</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Five inhibitors tested: DS-1594, JNJ-6617, KO-539, SNDX-5613, DSP-5336<br />- Base editing screen in MV4;11 A&gt;G and C&gt;T lines mutates MEN1 across residues; screen yields enriched residues near the KMT2A binding pocket<br />- Mutations show shared (pan-class) resistance, notably M327I and G331D, and inhibitor-specific resistance (C334R for DS-1594; E368K/V for DSP-5336; V372A for KO-539)<br />- Ki shifts measured by TR-FRET correlate with cellular IC50 shifts<br />- Co-crystal structures explain resistance via steric clashes or disrupted interactions<br />- In vivo PDX validation shows mutations arise under therapeutic pressure; higher potency can suppress or overcome resistance</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Bourgeois et al., Nature Communications - This study used enhanced CRISPR base editor screens, structural biology, biochemical assays, and in vitro/in vivo selection to map MEN1 mutations that drive resistance to five clinical menin inhibitors and to explain their mechanisms. Key terms: MEN1, menin inhibitors, CRISPR base editing, drug resistance, KMT2A.
 Study Highlights:CRISPR base editor screens tiled MEN1 and profiled resistance to five clinical menin inhibitors, revealing shared (M327 I/V/T, G331D) and inhibitor-specific (C334R, E368K/V, V372A) substitutions. Co-crystal structures of mutant menin bound to each inhibitor explain resistance via steric clashes or disrupted interactions and correlate with measured Ki and cellular IC50 shifts. Orthogonal in vitro selection and PDX experiments show many predicted mutations arise spontaneously under drug pressure and that higher inhibitor potency or dosing can suppress or overcome some resistant clones. The particular amino acid substitution at a residue critically determines the magnitude and breadth of resistance.
 Conclusion:Enhanced CRISPR base editing combined with structural and biological validation maps a mutational landscape in MEN1 that can produce pan-class or drug-specific resistance to menin inhibitors; these data can guide clinical monitoring, choices between inhibitors, dosing strategies, and next-generation inhibitor design.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:CRISPR base editor screening identifies spectrum of MEN1 mutations impacting menin inhibitors in clinical trials
 First author:Bourgeois
 Journal:Nature Communications
 DOI:10.1038/s41467-026-72685-1
 Reference:Bourgeois, W., Rice, H.E., Wenge, D.V. et al. CRISPR base editor screening identifies spectrum of MEN1 mutations impacting menin inhibitors in clinical trials. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72685-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/papercast-base-by-base-menin-mutations-365
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the CRISPR base editor screen identifying MEN1 mutations that affect five clinical menin inhibitors, including shared vs inhibitor-specific mutations, biochemical and structural validation, and in vivo PDX confirmation, as well as dose-related resistance dynamics and limitatio- transcript topics: Menin-KMT2A interaction and menin inhibitors in leukemia; CRISPR base editor screen design and MV4;11 cells; Shared and inhibitor-specific MEN1 mutations (M327, G331, T349, C334R, E368K/V, V372A); Biochemical binding: TR-FRET and Ki shifts; Structural insights: co-crystal structures; In vivo validation: PDX models
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Five inhibitors tested: DS-1594, JNJ-6617, KO-539...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2463362/c1a-p6xp7-5zqz9w03uqr-j53opb.png"></itunes:image>
                                                                            <itunes:duration>00:22:06</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[364: Peripheral C4 and Schizophrenia: A Neutrophil Gene–Protein Link]]>
                </title>
                <pubDate>Mon, 11 May 2026 22:15:32 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2460429</guid>
                                    <link>https://basebybase.castos.com/episodes/peripheral-c4-schizophrenia-neutrophil-link</link>
                                <description>
                                            <![CDATA[<p>Kalinowski A et al., PNAS - This study reports that C4 protein is enriched in human neutrophils and monocytes and that neutrophil C4 protein levels correlate with C4A gene copy number specifically in people with schizophrenia, linking peripheral innate immunity to disease-related biology. Key terms: schizophrenia, complement C4, neutrophils, monocytes, innate immunity.</p>
<p> Study Highlights:<br />Using public gene-expression data and fresh whole blood, the authors show C4 protein is primarily localized to neutrophils and monocytes. In a clinical cohort, neutrophil C4 protein positively correlated with C4A gene copy number in schizophrenia (Spearman rho = 0.63). Neutrophil and classical monocyte C4 protein were reduced in schizophrenia versus controls, and neutrophil C4 associated with perceived stress and symptom measures. Findings support a peripheral, cell-associated source of complement activation in schizophrenia.</p>
<p> Conclusion:<br />Neutrophils are a peripheral cellular reservoir of C4 that links C4A gene copy number to complement protein levels in schizophrenia, implicating innate immune cell mechanisms as potential contributors and targets for disease modification.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Peripheral complement C4 protein in schizophrenia: Association with gene copy number and immune cell subtypes</p>
<p> First author:<br />Kalinowski A</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2536376123</p>
<p> Reference:<br />Kalinowski A., Macaubas C., Guo H., et al. Peripheral complement C4 protein in schizophrenia: Association with gene copy number and immune cell subtypes. PNAS. 2026;123(20):e2536376123. doi:10.1073/pnas.2536376123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/peripheral-c4-schizophrenia-neutrophil-link</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript’s core scientific narrative: peripheral C4 biology in SZ (cellular localization, genetic associations, plasma vs cellular activation), links to symptoms/stress, and translational implications, with attention to study limitations.<br />- transcript topics: Innate immunity and C4 in schizophrenia; C4 protein expression in neutrophils and monocytes; C4A gene copy number correlates with neutrophil C4 protein in SZ; Plasma C4 vs cell-associated C4 activation; Clinical associations: perceived stress and PANSS; Limitations and confounds (medication, BMI, sample size)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- C4 protein is expressed and localized in neutrophils and monocytes (cellular localization, not plasma only)<br />- C4A gene copy number correlates with neutrophil C4 protein in schizophrenia (Spearman rho ≈ 0.63; P ≈ 0.012)<br />- In schizophrenia, neutrophil C4 protein is lower than controls after adjustment (BMI or related covariates; notable P-values in exploratory anal...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kalinowski A et al., PNAS - This study reports that C4 protein is enriched in human neutrophils and monocytes and that neutrophil C4 protein levels correlate with C4A gene copy number specifically in people with schizophrenia, linking peripheral innate immunity to disease-related biology. Key terms: schizophrenia, complement C4, neutrophils, monocytes, innate immunity.
 Study Highlights:Using public gene-expression data and fresh whole blood, the authors show C4 protein is primarily localized to neutrophils and monocytes. In a clinical cohort, neutrophil C4 protein positively correlated with C4A gene copy number in schizophrenia (Spearman rho = 0.63). Neutrophil and classical monocyte C4 protein were reduced in schizophrenia versus controls, and neutrophil C4 associated with perceived stress and symptom measures. Findings support a peripheral, cell-associated source of complement activation in schizophrenia.
 Conclusion:Neutrophils are a peripheral cellular reservoir of C4 that links C4A gene copy number to complement protein levels in schizophrenia, implicating innate immune cell mechanisms as potential contributors and targets for disease modification.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Peripheral complement C4 protein in schizophrenia: Association with gene copy number and immune cell subtypes
 First author:Kalinowski A
 Journal:PNAS
 DOI:10.1073/pnas.2536376123
 Reference:Kalinowski A., Macaubas C., Guo H., et al. Peripheral complement C4 protein in schizophrenia: Association with gene copy number and immune cell subtypes. PNAS. 2026;123(20):e2536376123. doi:10.1073/pnas.2536376123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/peripheral-c4-schizophrenia-neutrophil-link
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript’s core scientific narrative: peripheral C4 biology in SZ (cellular localization, genetic associations, plasma vs cellular activation), links to symptoms/stress, and translational implications, with attention to study limitations.- transcript topics: Innate immunity and C4 in schizophrenia; C4 protein expression in neutrophils and monocytes; C4A gene copy number correlates with neutrophil C4 protein in SZ; Plasma C4 vs cell-associated C4 activation; Clinical associations: perceived stress and PANSS; Limitations and confounds (medication, BMI, sample size)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- C4 protein is expressed and localized in neutrophils and monocytes (cellular localization, not plasma only)- C4A gene copy number correlates with neutrophil C4 protein in schizophrenia (Spearman rho ≈ 0.63; P ≈ 0.012)- In schizophrenia, neutrophil C4 protein is lower than controls after adjustment (BMI or related covariates; notable P-values in exploratory anal...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[364: Peripheral C4 and Schizophrenia: A Neutrophil Gene–Protein Link]]>
                </itunes:title>
                                    <itunes:episode>364</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kalinowski A et al., PNAS - This study reports that C4 protein is enriched in human neutrophils and monocytes and that neutrophil C4 protein levels correlate with C4A gene copy number specifically in people with schizophrenia, linking peripheral innate immunity to disease-related biology. Key terms: schizophrenia, complement C4, neutrophils, monocytes, innate immunity.</p>
<p> Study Highlights:<br />Using public gene-expression data and fresh whole blood, the authors show C4 protein is primarily localized to neutrophils and monocytes. In a clinical cohort, neutrophil C4 protein positively correlated with C4A gene copy number in schizophrenia (Spearman rho = 0.63). Neutrophil and classical monocyte C4 protein were reduced in schizophrenia versus controls, and neutrophil C4 associated with perceived stress and symptom measures. Findings support a peripheral, cell-associated source of complement activation in schizophrenia.</p>
<p> Conclusion:<br />Neutrophils are a peripheral cellular reservoir of C4 that links C4A gene copy number to complement protein levels in schizophrenia, implicating innate immune cell mechanisms as potential contributors and targets for disease modification.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Peripheral complement C4 protein in schizophrenia: Association with gene copy number and immune cell subtypes</p>
<p> First author:<br />Kalinowski A</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2536376123</p>
<p> Reference:<br />Kalinowski A., Macaubas C., Guo H., et al. Peripheral complement C4 protein in schizophrenia: Association with gene copy number and immune cell subtypes. PNAS. 2026;123(20):e2536376123. doi:10.1073/pnas.2536376123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/peripheral-c4-schizophrenia-neutrophil-link</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript’s core scientific narrative: peripheral C4 biology in SZ (cellular localization, genetic associations, plasma vs cellular activation), links to symptoms/stress, and translational implications, with attention to study limitations.<br />- transcript topics: Innate immunity and C4 in schizophrenia; C4 protein expression in neutrophils and monocytes; C4A gene copy number correlates with neutrophil C4 protein in SZ; Plasma C4 vs cell-associated C4 activation; Clinical associations: perceived stress and PANSS; Limitations and confounds (medication, BMI, sample size)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- C4 protein is expressed and localized in neutrophils and monocytes (cellular localization, not plasma only)<br />- C4A gene copy number correlates with neutrophil C4 protein in schizophrenia (Spearman rho ≈ 0.63; P ≈ 0.012)<br />- In schizophrenia, neutrophil C4 protein is lower than controls after adjustment (BMI or related covariates; notable P-values in exploratory analyses)<br />- Plasma C4 did not show the same correlations with C4A gene copies, suggesting a non-plasma cellular source<br />- Neutrophil C4 protein depletion correlates with higher perceived stress (PSS) and PANSS general psychopathology in SZ<br />- Study limitations include all SZ participants being medicated; replication in medication-naive/first-episode samples is needed</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2460429/c1e-j63m1c47n6dt0o0x1-ww4n2rdgt6gn-dzz4ue.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2460429&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fperipheral-c4-schizophrenia-neutrophil-link&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=dde395fc8bfc870623a962d2fce68aa23bc286cc134e09ccac6e125be776280f" length="25385517"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Kalinowski A et al., PNAS - This study reports that C4 protein is enriched in human neutrophils and monocytes and that neutrophil C4 protein levels correlate with C4A gene copy number specifically in people with schizophrenia, linking peripheral innate immunity to disease-related biology. Key terms: schizophrenia, complement C4, neutrophils, monocytes, innate immunity.
 Study Highlights:Using public gene-expression data and fresh whole blood, the authors show C4 protein is primarily localized to neutrophils and monocytes. In a clinical cohort, neutrophil C4 protein positively correlated with C4A gene copy number in schizophrenia (Spearman rho = 0.63). Neutrophil and classical monocyte C4 protein were reduced in schizophrenia versus controls, and neutrophil C4 associated with perceived stress and symptom measures. Findings support a peripheral, cell-associated source of complement activation in schizophrenia.
 Conclusion:Neutrophils are a peripheral cellular reservoir of C4 that links C4A gene copy number to complement protein levels in schizophrenia, implicating innate immune cell mechanisms as potential contributors and targets for disease modification.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Peripheral complement C4 protein in schizophrenia: Association with gene copy number and immune cell subtypes
 First author:Kalinowski A
 Journal:PNAS
 DOI:10.1073/pnas.2536376123
 Reference:Kalinowski A., Macaubas C., Guo H., et al. Peripheral complement C4 protein in schizophrenia: Association with gene copy number and immune cell subtypes. PNAS. 2026;123(20):e2536376123. doi:10.1073/pnas.2536376123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/peripheral-c4-schizophrenia-neutrophil-link
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript’s core scientific narrative: peripheral C4 biology in SZ (cellular localization, genetic associations, plasma vs cellular activation), links to symptoms/stress, and translational implications, with attention to study limitations.- transcript topics: Innate immunity and C4 in schizophrenia; C4 protein expression in neutrophils and monocytes; C4A gene copy number correlates with neutrophil C4 protein in SZ; Plasma C4 vs cell-associated C4 activation; Clinical associations: perceived stress and PANSS; Limitations and confounds (medication, BMI, sample size)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- C4 protein is expressed and localized in neutrophils and monocytes (cellular localization, not plasma only)- C4A gene copy number correlates with neutrophil C4 protein in schizophrenia (Spearman rho ≈ 0.63; P ≈ 0.012)- In schizophrenia, neutrophil C4 protein is lower than controls after adjustment (BMI or related covariates; notable P-values in exploratory anal...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2460429/c1a-p6xp7-pkn8o21jsmvz-ipwedr.png"></itunes:image>
                                                                            <itunes:duration>00:17:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[363: cfDNA size deconvolution reveals a 159‑bp nucleosomal pivot and tumor fragmentomic signatures]]>
                </title>
                <pubDate>Sat, 09 May 2026 19:42:48 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2458796</guid>
                                    <link>https://basebybase.castos.com/episodes/cfdna-size-deconvolution-nucleosomal-origins</link>
                                <description>
                                            <![CDATA[<p>Zhou Z et al., Nature Communications - This study develops a Lorentzian deconvolution model of cfDNA fragment length distributions across bodily fluids, identifies a ~159 bp component that demarcates intra- vs inter-nucleosomal fragments, and shows that intra-nucleosomal fragmentation entropy distinguishes tumor-derived ctDNA from non-tumor shortening. Key terms: cell-free DNA, fragmentomics, nucleosome, ctDNA, size deconvolution.</p>
<p> Study Highlights:<br />The authors modeled cfDNA size profiles as sums of Cauchy–Lorentz distributions with ~10 bp periodicity and applied deconvolution across plasma, saliva, urine, CSF and lymphatic fluid. A distinct ~159 bp component emerged as a pivot between intra- and inter-nucleosomal fragments. Tumor-derived ctDNA shows increased intra-nucleosomal fragmentation entropy and inverse amplitude changes across the 159 bp boundary, whereas phagocytosis-associated shortening increases intra-nucleosomal amplitude without raising entropy. The intra/inter-nucleosomal entropy ratio improved cancer detection performance relative to standard size-ratio metrics across multiple cohorts.</p>
<p> Conclusion:<br />Size deconvolution using Lorentzian components reveals nucleosomal structure in cfDNA, identifies a 159 bp demarcation between fragmentation regimes, and provides an entropy-based metric that enhances ctDNA detection while separating tumor-associated fragmentation from phagocyte-related signals.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cell-free DNA size deconvolution resolves nucleosomal origins and reveals tumor-associated fragmentomic alterations</p>
<p> First author:<br />Zhou Z</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-026-72925-4</p>
<p> Reference:<br />Zhou Z, Cooper WN, Cheng Z, et al. Cell-free DNA size deconvolution resolves nucleosomal origins and reveals tumor-associated fragmentomic alterations. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72925-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cfdna-size-deconvolution-nucleosomal-origins</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of the transcript's discussion of cfDNA fragmentology, Lorentzian deconvolution, the 159 bp pivot, entropy vs amplitude distinctions, Li-Fraumeni context, phagocytosis vs tumor fragmentation, and diagnostic performance metrics.<br />- transcript topics: cfDNA fragmentomics basics; Lorentzian size deconvolution and nucleosome structure; 159 bp boundary between intra- and inter-nucleosomal cfDNA; intra-/inter-nucleosomal amplitude and entropy ratios; ctDNA fragmentation entropy as cancer signature; phagocytosis vs tumor-derived fragmentation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- cfDNA size profiles deconvoluted into Lorentzian components across multiple fluids with ~10 bp periodicity<br />- a ~159 bp component d...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zhou Z et al., Nature Communications - This study develops a Lorentzian deconvolution model of cfDNA fragment length distributions across bodily fluids, identifies a ~159 bp component that demarcates intra- vs inter-nucleosomal fragments, and shows that intra-nucleosomal fragmentation entropy distinguishes tumor-derived ctDNA from non-tumor shortening. Key terms: cell-free DNA, fragmentomics, nucleosome, ctDNA, size deconvolution.
 Study Highlights:The authors modeled cfDNA size profiles as sums of Cauchy–Lorentz distributions with ~10 bp periodicity and applied deconvolution across plasma, saliva, urine, CSF and lymphatic fluid. A distinct ~159 bp component emerged as a pivot between intra- and inter-nucleosomal fragments. Tumor-derived ctDNA shows increased intra-nucleosomal fragmentation entropy and inverse amplitude changes across the 159 bp boundary, whereas phagocytosis-associated shortening increases intra-nucleosomal amplitude without raising entropy. The intra/inter-nucleosomal entropy ratio improved cancer detection performance relative to standard size-ratio metrics across multiple cohorts.
 Conclusion:Size deconvolution using Lorentzian components reveals nucleosomal structure in cfDNA, identifies a 159 bp demarcation between fragmentation regimes, and provides an entropy-based metric that enhances ctDNA detection while separating tumor-associated fragmentation from phagocyte-related signals.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cell-free DNA size deconvolution resolves nucleosomal origins and reveals tumor-associated fragmentomic alterations
 First author:Zhou Z
 Journal:Nature Communications
 DOI:10.1038/s41467-026-72925-4
 Reference:Zhou Z, Cooper WN, Cheng Z, et al. Cell-free DNA size deconvolution resolves nucleosomal origins and reveals tumor-associated fragmentomic alterations. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72925-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cfdna-size-deconvolution-nucleosomal-origins
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of the transcript's discussion of cfDNA fragmentology, Lorentzian deconvolution, the 159 bp pivot, entropy vs amplitude distinctions, Li-Fraumeni context, phagocytosis vs tumor fragmentation, and diagnostic performance metrics.- transcript topics: cfDNA fragmentomics basics; Lorentzian size deconvolution and nucleosome structure; 159 bp boundary between intra- and inter-nucleosomal cfDNA; intra-/inter-nucleosomal amplitude and entropy ratios; ctDNA fragmentation entropy as cancer signature; phagocytosis vs tumor-derived fragmentation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- cfDNA size profiles deconvoluted into Lorentzian components across multiple fluids with ~10 bp periodicity- a ~159 bp component d...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[363: cfDNA size deconvolution reveals a 159‑bp nucleosomal pivot and tumor fragmentomic signatures]]>
                </itunes:title>
                                    <itunes:episode>363</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zhou Z et al., Nature Communications - This study develops a Lorentzian deconvolution model of cfDNA fragment length distributions across bodily fluids, identifies a ~159 bp component that demarcates intra- vs inter-nucleosomal fragments, and shows that intra-nucleosomal fragmentation entropy distinguishes tumor-derived ctDNA from non-tumor shortening. Key terms: cell-free DNA, fragmentomics, nucleosome, ctDNA, size deconvolution.</p>
<p> Study Highlights:<br />The authors modeled cfDNA size profiles as sums of Cauchy–Lorentz distributions with ~10 bp periodicity and applied deconvolution across plasma, saliva, urine, CSF and lymphatic fluid. A distinct ~159 bp component emerged as a pivot between intra- and inter-nucleosomal fragments. Tumor-derived ctDNA shows increased intra-nucleosomal fragmentation entropy and inverse amplitude changes across the 159 bp boundary, whereas phagocytosis-associated shortening increases intra-nucleosomal amplitude without raising entropy. The intra/inter-nucleosomal entropy ratio improved cancer detection performance relative to standard size-ratio metrics across multiple cohorts.</p>
<p> Conclusion:<br />Size deconvolution using Lorentzian components reveals nucleosomal structure in cfDNA, identifies a 159 bp demarcation between fragmentation regimes, and provides an entropy-based metric that enhances ctDNA detection while separating tumor-associated fragmentation from phagocyte-related signals.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cell-free DNA size deconvolution resolves nucleosomal origins and reveals tumor-associated fragmentomic alterations</p>
<p> First author:<br />Zhou Z</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-026-72925-4</p>
<p> Reference:<br />Zhou Z, Cooper WN, Cheng Z, et al. Cell-free DNA size deconvolution resolves nucleosomal origins and reveals tumor-associated fragmentomic alterations. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72925-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cfdna-size-deconvolution-nucleosomal-origins</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of the transcript's discussion of cfDNA fragmentology, Lorentzian deconvolution, the 159 bp pivot, entropy vs amplitude distinctions, Li-Fraumeni context, phagocytosis vs tumor fragmentation, and diagnostic performance metrics.<br />- transcript topics: cfDNA fragmentomics basics; Lorentzian size deconvolution and nucleosome structure; 159 bp boundary between intra- and inter-nucleosomal cfDNA; intra-/inter-nucleosomal amplitude and entropy ratios; ctDNA fragmentation entropy as cancer signature; phagocytosis vs tumor-derived fragmentation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- cfDNA size profiles deconvoluted into Lorentzian components across multiple fluids with ~10 bp periodicity<br />- a ~159 bp component demarcates intra- vs inter-nucleosomal cfDNA<br />- intra-nucleosomal fragmentation entropy is elevated in ctDNA; phagocytosis-associated shortening increases amplitude but not entropy<br />- intra-/inter-nucleosomal entropy ratio improves cancer detection performance (gastric cancer AUC ~0.87; multi-cancer AUC ~0.81–0.85; stage-specific AUCs up to ~0.91)<br />- radiotherapy and organ transplantation contexts show short-fragment enrichment with amplitude changes but entropy changes are not increased in non-tumor scenarios<br />- dd-cfDNA analyses show differences in amplitude but not entropy between high vs low donor-derived DNA groups</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Zhou Z et al., Nature Communications - This study develops a Lorentzian deconvolution model of cfDNA fragment length distributions across bodily fluids, identifies a ~159 bp component that demarcates intra- vs inter-nucleosomal fragments, and shows that intra-nucleosomal fragmentation entropy distinguishes tumor-derived ctDNA from non-tumor shortening. Key terms: cell-free DNA, fragmentomics, nucleosome, ctDNA, size deconvolution.
 Study Highlights:The authors modeled cfDNA size profiles as sums of Cauchy–Lorentz distributions with ~10 bp periodicity and applied deconvolution across plasma, saliva, urine, CSF and lymphatic fluid. A distinct ~159 bp component emerged as a pivot between intra- and inter-nucleosomal fragments. Tumor-derived ctDNA shows increased intra-nucleosomal fragmentation entropy and inverse amplitude changes across the 159 bp boundary, whereas phagocytosis-associated shortening increases intra-nucleosomal amplitude without raising entropy. The intra/inter-nucleosomal entropy ratio improved cancer detection performance relative to standard size-ratio metrics across multiple cohorts.
 Conclusion:Size deconvolution using Lorentzian components reveals nucleosomal structure in cfDNA, identifies a 159 bp demarcation between fragmentation regimes, and provides an entropy-based metric that enhances ctDNA detection while separating tumor-associated fragmentation from phagocyte-related signals.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cell-free DNA size deconvolution resolves nucleosomal origins and reveals tumor-associated fragmentomic alterations
 First author:Zhou Z
 Journal:Nature Communications
 DOI:10.1038/s41467-026-72925-4
 Reference:Zhou Z, Cooper WN, Cheng Z, et al. Cell-free DNA size deconvolution resolves nucleosomal origins and reveals tumor-associated fragmentomic alterations. Nat Commun (2026). https://doi.org/10.1038/s41467-026-72925-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cfdna-size-deconvolution-nucleosomal-origins
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of the transcript's discussion of cfDNA fragmentology, Lorentzian deconvolution, the 159 bp pivot, entropy vs amplitude distinctions, Li-Fraumeni context, phagocytosis vs tumor fragmentation, and diagnostic performance metrics.- transcript topics: cfDNA fragmentomics basics; Lorentzian size deconvolution and nucleosome structure; 159 bp boundary between intra- and inter-nucleosomal cfDNA; intra-/inter-nucleosomal amplitude and entropy ratios; ctDNA fragmentation entropy as cancer signature; phagocytosis vs tumor-derived fragmentation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- cfDNA size profiles deconvoluted into Lorentzian components across multiple fluids with ~10 bp periodicity- a ~159 bp component d...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2458796/c1a-p6xp7-0v04k15quo06-liceeu.png"></itunes:image>
                                                                            <itunes:duration>00:22:29</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[362: D614G Reshapes Spike Allostery and Speeds RBD Opening]]>
                </title>
                <pubDate>Sat, 09 May 2026 18:52:18 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2458782</guid>
                                    <link>https://basebybase.castos.com/episodes/d614g-reshapes-allosteric-networks</link>
                                <description>
                                            <![CDATA[<p>Kearns FL et al., PNAS - Simulations and HDXMS reveal how the D614G substitution alters internal communication in SARS-CoV-2 spike, enabling faster receptor-binding-domain opening through newly engaged allosteric pathways. Key terms: D614G, SARS-CoV-2 spike, RBD opening, allostery, weighted ensemble simulations.</p>
<p> Study Highlights:<br />Weighted ensemble simulations of Ancestral, Delta, and Omicron BA.1 spikes show distinct RBD opening landscapes and identify two S1 linkers (N2R and a previously underappreciated antiparallel R2N) that connect the NTD to the RBD. In the Ancestral spike a D614–K854 salt bridge constrains the R2N and must break before RBD opening; D614G abolishes that constraint, increasing local flexibility and enabling communication through both linkers. Delta and Omicron BA.1, both carrying D614G, open faster and use balanced N2R/R2N signaling; Omicron also forms a K856–D568 salt bridge and can adopt a unique “peel” conformation. Hydrogen–deuterium exchange mass spectrometry on VLPs confirms altered dynamics around the 614-proximal region consistent with the simulations.</p>
<p> Conclusion:<br />Ablation of the D614–K854 salt bridge by D614G relieves local frustration, opens an additional allosteric lane via the R2N linker alongside N2R, and accelerates RBD opening—providing a mechanistic link between the D614G substitution and increased infectivity; Omicron BA.1 further tunes this network with compensatory interactions.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />D614G reshapes allosteric networks and opening mechanisms of SARS - CoV - 2 spikes</p>
<p> First author:<br />Kearns FL</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2504793123</p>
<p> Reference:<br />Kearns FL, Bogetti AT, Calvó-Tusell C, et al. D614G reshapes allosteric networks and opening mechanisms of SARS-CoV-2 spikes. PNAS. 2026;123(19):e2504793123. doi:10.1073/pnas.2504793123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/d614g-reshapes-allosteric-networks</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for alignment with the PNAS article's core findings: D614G reshapes spike allostery, dual N2R/R2N pathways, D614-K854 salt-bridge dynamics, Delta/Omicron opening differences, Omicron peel state, and HDXMS corroboration; plus methodological details (WE/MA binning, glycans, and limitations).<br />- transcript topics: D614G impact on RBD opening dynamics; Weighted Ensemble simulations (WE) and minimal adaptive binning (MAB); N2R and R2N flexible linkers as allosteric pathways; D614-K854 salt bridge role and congestion; Variant-specific opening pathways: Delta and Omicron; Omicron BA.1 peel state and K856-D568 salt bridge</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- D614G abolishes the D614-K854 salt bridge, increasing local flexibility and accelerating RBD opening via dual N2R and R2N l...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kearns FL et al., PNAS - Simulations and HDXMS reveal how the D614G substitution alters internal communication in SARS-CoV-2 spike, enabling faster receptor-binding-domain opening through newly engaged allosteric pathways. Key terms: D614G, SARS-CoV-2 spike, RBD opening, allostery, weighted ensemble simulations.
 Study Highlights:Weighted ensemble simulations of Ancestral, Delta, and Omicron BA.1 spikes show distinct RBD opening landscapes and identify two S1 linkers (N2R and a previously underappreciated antiparallel R2N) that connect the NTD to the RBD. In the Ancestral spike a D614–K854 salt bridge constrains the R2N and must break before RBD opening; D614G abolishes that constraint, increasing local flexibility and enabling communication through both linkers. Delta and Omicron BA.1, both carrying D614G, open faster and use balanced N2R/R2N signaling; Omicron also forms a K856–D568 salt bridge and can adopt a unique “peel” conformation. Hydrogen–deuterium exchange mass spectrometry on VLPs confirms altered dynamics around the 614-proximal region consistent with the simulations.
 Conclusion:Ablation of the D614–K854 salt bridge by D614G relieves local frustration, opens an additional allosteric lane via the R2N linker alongside N2R, and accelerates RBD opening—providing a mechanistic link between the D614G substitution and increased infectivity; Omicron BA.1 further tunes this network with compensatory interactions.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:D614G reshapes allosteric networks and opening mechanisms of SARS - CoV - 2 spikes
 First author:Kearns FL
 Journal:PNAS
 DOI:10.1073/pnas.2504793123
 Reference:Kearns FL, Bogetti AT, Calvó-Tusell C, et al. D614G reshapes allosteric networks and opening mechanisms of SARS-CoV-2 spikes. PNAS. 2026;123(19):e2504793123. doi:10.1073/pnas.2504793123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/d614g-reshapes-allosteric-networks
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for alignment with the PNAS article's core findings: D614G reshapes spike allostery, dual N2R/R2N pathways, D614-K854 salt-bridge dynamics, Delta/Omicron opening differences, Omicron peel state, and HDXMS corroboration; plus methodological details (WE/MA binning, glycans, and limitations).- transcript topics: D614G impact on RBD opening dynamics; Weighted Ensemble simulations (WE) and minimal adaptive binning (MAB); N2R and R2N flexible linkers as allosteric pathways; D614-K854 salt bridge role and congestion; Variant-specific opening pathways: Delta and Omicron; Omicron BA.1 peel state and K856-D568 salt bridge
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- D614G abolishes the D614-K854 salt bridge, increasing local flexibility and accelerating RBD opening via dual N2R and R2N l...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[362: D614G Reshapes Spike Allostery and Speeds RBD Opening]]>
                </itunes:title>
                                    <itunes:episode>362</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kearns FL et al., PNAS - Simulations and HDXMS reveal how the D614G substitution alters internal communication in SARS-CoV-2 spike, enabling faster receptor-binding-domain opening through newly engaged allosteric pathways. Key terms: D614G, SARS-CoV-2 spike, RBD opening, allostery, weighted ensemble simulations.</p>
<p> Study Highlights:<br />Weighted ensemble simulations of Ancestral, Delta, and Omicron BA.1 spikes show distinct RBD opening landscapes and identify two S1 linkers (N2R and a previously underappreciated antiparallel R2N) that connect the NTD to the RBD. In the Ancestral spike a D614–K854 salt bridge constrains the R2N and must break before RBD opening; D614G abolishes that constraint, increasing local flexibility and enabling communication through both linkers. Delta and Omicron BA.1, both carrying D614G, open faster and use balanced N2R/R2N signaling; Omicron also forms a K856–D568 salt bridge and can adopt a unique “peel” conformation. Hydrogen–deuterium exchange mass spectrometry on VLPs confirms altered dynamics around the 614-proximal region consistent with the simulations.</p>
<p> Conclusion:<br />Ablation of the D614–K854 salt bridge by D614G relieves local frustration, opens an additional allosteric lane via the R2N linker alongside N2R, and accelerates RBD opening—providing a mechanistic link between the D614G substitution and increased infectivity; Omicron BA.1 further tunes this network with compensatory interactions.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />D614G reshapes allosteric networks and opening mechanisms of SARS - CoV - 2 spikes</p>
<p> First author:<br />Kearns FL</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2504793123</p>
<p> Reference:<br />Kearns FL, Bogetti AT, Calvó-Tusell C, et al. D614G reshapes allosteric networks and opening mechanisms of SARS-CoV-2 spikes. PNAS. 2026;123(19):e2504793123. doi:10.1073/pnas.2504793123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/d614g-reshapes-allosteric-networks</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for alignment with the PNAS article's core findings: D614G reshapes spike allostery, dual N2R/R2N pathways, D614-K854 salt-bridge dynamics, Delta/Omicron opening differences, Omicron peel state, and HDXMS corroboration; plus methodological details (WE/MA binning, glycans, and limitations).<br />- transcript topics: D614G impact on RBD opening dynamics; Weighted Ensemble simulations (WE) and minimal adaptive binning (MAB); N2R and R2N flexible linkers as allosteric pathways; D614-K854 salt bridge role and congestion; Variant-specific opening pathways: Delta and Omicron; Omicron BA.1 peel state and K856-D568 salt bridge</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- D614G abolishes the D614-K854 salt bridge, increasing local flexibility and accelerating RBD opening via dual N2R and R2N linkers<br />- Delta and Omicron spikes open faster than ancestral and utilize both N2R and R2N pathways<br />- Ancestral spike relies mainly on the N2R linker; Delta and Omicron use both linkers for RBD opening<br />- Omicron BA.1 adopts a peel state with a new K856-D568 salt bridge to restabilize FPPR and enable broader opening<br />- HDXMS on VLPs shows altered dynamics near the 614 region consistent with simulation predictions; peptides near D614G region demonstrate altered deuterium uptake<br />- WE simulations with minimal adaptive binning mapped RBD opening across variants; hundreds of microseconds of aggregated time over ~2 months on GPUs</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Kearns FL et al., PNAS - Simulations and HDXMS reveal how the D614G substitution alters internal communication in SARS-CoV-2 spike, enabling faster receptor-binding-domain opening through newly engaged allosteric pathways. Key terms: D614G, SARS-CoV-2 spike, RBD opening, allostery, weighted ensemble simulations.
 Study Highlights:Weighted ensemble simulations of Ancestral, Delta, and Omicron BA.1 spikes show distinct RBD opening landscapes and identify two S1 linkers (N2R and a previously underappreciated antiparallel R2N) that connect the NTD to the RBD. In the Ancestral spike a D614–K854 salt bridge constrains the R2N and must break before RBD opening; D614G abolishes that constraint, increasing local flexibility and enabling communication through both linkers. Delta and Omicron BA.1, both carrying D614G, open faster and use balanced N2R/R2N signaling; Omicron also forms a K856–D568 salt bridge and can adopt a unique “peel” conformation. Hydrogen–deuterium exchange mass spectrometry on VLPs confirms altered dynamics around the 614-proximal region consistent with the simulations.
 Conclusion:Ablation of the D614–K854 salt bridge by D614G relieves local frustration, opens an additional allosteric lane via the R2N linker alongside N2R, and accelerates RBD opening—providing a mechanistic link between the D614G substitution and increased infectivity; Omicron BA.1 further tunes this network with compensatory interactions.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:D614G reshapes allosteric networks and opening mechanisms of SARS - CoV - 2 spikes
 First author:Kearns FL
 Journal:PNAS
 DOI:10.1073/pnas.2504793123
 Reference:Kearns FL, Bogetti AT, Calvó-Tusell C, et al. D614G reshapes allosteric networks and opening mechanisms of SARS-CoV-2 spikes. PNAS. 2026;123(19):e2504793123. doi:10.1073/pnas.2504793123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/d614g-reshapes-allosteric-networks
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for alignment with the PNAS article's core findings: D614G reshapes spike allostery, dual N2R/R2N pathways, D614-K854 salt-bridge dynamics, Delta/Omicron opening differences, Omicron peel state, and HDXMS corroboration; plus methodological details (WE/MA binning, glycans, and limitations).- transcript topics: D614G impact on RBD opening dynamics; Weighted Ensemble simulations (WE) and minimal adaptive binning (MAB); N2R and R2N flexible linkers as allosteric pathways; D614-K854 salt bridge role and congestion; Variant-specific opening pathways: Delta and Omicron; Omicron BA.1 peel state and K856-D568 salt bridge
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- D614G abolishes the D614-K854 salt bridge, increasing local flexibility and accelerating RBD opening via dual N2R and R2N l...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2458782/c1a-p6xp7-1p2xk53nf94o-t6laou.png"></itunes:image>
                                                                            <itunes:duration>00:18:48</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[361: Chiral Inversion Mutagenesis Reveals Structured Hotspots in LCDs]]>
                </title>
                <pubDate>Fri, 08 May 2026 10:43:24 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2457499</guid>
                                    <link>https://basebybase.castos.com/episodes/chiral-inversion-lcd-hotspots-361</link>
                                <description>
                                            <![CDATA[<p>Beckner RL et al., PNAS - This episode examines a PNAS study using Chiral Inversion Mutagenesis (ChIM) to scan low-complexity domains (LCDs) of Emerin and neurofilament light chain (NEFL). Targeted L-to-D amino acid inversions reveal position-dependent, chirality-sensitive hotspots that control LCD self-association. Key terms: chiral inversion, low-complexity domains, Emerin, neurofilament light chain, synthetic protein chemistry.</p>
<p> Study Highlights:<br />The authors applied synthetic protein chemistry to introduce site-specific L-to-D Cα inversions (ChIM) in LCDs of Emerin (EMD) and NEFL. ChIM scans identified discrete enantioselective hotspots—EMD residues ~191–203 and NEFL residues ~22–41—where D substitutions strongly reduce self-association measured by GST pulldown and turbidity assays. Minimal inversions, including single D substitutions, can abrogate EMD self-association, while an all-D mirror-image C-terminal fragment restored activity, implicating backbone geometry and secondary-structure involvement. These results show that polypeptide homochirality and transient structure underpin certain LCD–LCD interactions.</p>
<p> Conclusion:<br />Cα stereochemistry is a determinant of LCD self-association at specific sequence hotspots, and ChIM provides a positional-resolution chemical approach to identify backbone-constrained elements that mediate oligomerization of disordered domains.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Chiral inversion mutagenesis identifies geometrically constrained residues within self - associating low - complexity domains</p>
<p> First author:<br />Beckner RL</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2535888123</p>
<p> Reference:<br />Beckner RL, Kim L, Carter C, Walterscheid A, Liszczak G. Chiral inversion mutagenesis identifies geometrically constrained residues within self-associating low-complexity domains. Proc Natl Acad Sci U S A. 2026;123(19):e2535888123. doi:10.1073/pnas.2535888123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/chiral-inversion-lcd-hotspots-361</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken sections describing: ChIM methodology; Emerin LCD hotspot mapping (188–201) with 3×Pro and 3×D scans; single-residue effects (1×D) and all-D mirror-image rescue; NEFL head domain hotspot (22–41) with 5×D scans; assay descriptions (GST pulldown, turbidity); cross-β/anti-selective interactions; drug-de<br />- transcript topics: Chiral inversion mutagenesis (ChIM) methodology; Emerin (EMD) LCD self-association hotspot mapping (188–201) with Pro/ D-inversions; NEFL head domain hotspot mapping (22–41) with 5×D inversions; Mutational scan results: 3×D, 1×D, 5×D variants and effects on pulldown/turbidity; Mirror-image (all-D) fragment rescue for Emerin; Assays: GST pulldown and turbidity measurements</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audite...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Beckner RL et al., PNAS - This episode examines a PNAS study using Chiral Inversion Mutagenesis (ChIM) to scan low-complexity domains (LCDs) of Emerin and neurofilament light chain (NEFL). Targeted L-to-D amino acid inversions reveal position-dependent, chirality-sensitive hotspots that control LCD self-association. Key terms: chiral inversion, low-complexity domains, Emerin, neurofilament light chain, synthetic protein chemistry.
 Study Highlights:The authors applied synthetic protein chemistry to introduce site-specific L-to-D Cα inversions (ChIM) in LCDs of Emerin (EMD) and NEFL. ChIM scans identified discrete enantioselective hotspots—EMD residues ~191–203 and NEFL residues ~22–41—where D substitutions strongly reduce self-association measured by GST pulldown and turbidity assays. Minimal inversions, including single D substitutions, can abrogate EMD self-association, while an all-D mirror-image C-terminal fragment restored activity, implicating backbone geometry and secondary-structure involvement. These results show that polypeptide homochirality and transient structure underpin certain LCD–LCD interactions.
 Conclusion:Cα stereochemistry is a determinant of LCD self-association at specific sequence hotspots, and ChIM provides a positional-resolution chemical approach to identify backbone-constrained elements that mediate oligomerization of disordered domains.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Chiral inversion mutagenesis identifies geometrically constrained residues within self - associating low - complexity domains
 First author:Beckner RL
 Journal:PNAS
 DOI:10.1073/pnas.2535888123
 Reference:Beckner RL, Kim L, Carter C, Walterscheid A, Liszczak G. Chiral inversion mutagenesis identifies geometrically constrained residues within self-associating low-complexity domains. Proc Natl Acad Sci U S A. 2026;123(19):e2535888123. doi:10.1073/pnas.2535888123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/chiral-inversion-lcd-hotspots-361
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken sections describing: ChIM methodology; Emerin LCD hotspot mapping (188–201) with 3×Pro and 3×D scans; single-residue effects (1×D) and all-D mirror-image rescue; NEFL head domain hotspot (22–41) with 5×D scans; assay descriptions (GST pulldown, turbidity); cross-β/anti-selective interactions; drug-de- transcript topics: Chiral inversion mutagenesis (ChIM) methodology; Emerin (EMD) LCD self-association hotspot mapping (188–201) with Pro/ D-inversions; NEFL head domain hotspot mapping (22–41) with 5×D inversions; Mutational scan results: 3×D, 1×D, 5×D variants and effects on pulldown/turbidity; Mirror-image (all-D) fragment rescue for Emerin; Assays: GST pulldown and turbidity measurements
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audite...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[361: Chiral Inversion Mutagenesis Reveals Structured Hotspots in LCDs]]>
                </itunes:title>
                                    <itunes:episode>361</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Beckner RL et al., PNAS - This episode examines a PNAS study using Chiral Inversion Mutagenesis (ChIM) to scan low-complexity domains (LCDs) of Emerin and neurofilament light chain (NEFL). Targeted L-to-D amino acid inversions reveal position-dependent, chirality-sensitive hotspots that control LCD self-association. Key terms: chiral inversion, low-complexity domains, Emerin, neurofilament light chain, synthetic protein chemistry.</p>
<p> Study Highlights:<br />The authors applied synthetic protein chemistry to introduce site-specific L-to-D Cα inversions (ChIM) in LCDs of Emerin (EMD) and NEFL. ChIM scans identified discrete enantioselective hotspots—EMD residues ~191–203 and NEFL residues ~22–41—where D substitutions strongly reduce self-association measured by GST pulldown and turbidity assays. Minimal inversions, including single D substitutions, can abrogate EMD self-association, while an all-D mirror-image C-terminal fragment restored activity, implicating backbone geometry and secondary-structure involvement. These results show that polypeptide homochirality and transient structure underpin certain LCD–LCD interactions.</p>
<p> Conclusion:<br />Cα stereochemistry is a determinant of LCD self-association at specific sequence hotspots, and ChIM provides a positional-resolution chemical approach to identify backbone-constrained elements that mediate oligomerization of disordered domains.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Chiral inversion mutagenesis identifies geometrically constrained residues within self - associating low - complexity domains</p>
<p> First author:<br />Beckner RL</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2535888123</p>
<p> Reference:<br />Beckner RL, Kim L, Carter C, Walterscheid A, Liszczak G. Chiral inversion mutagenesis identifies geometrically constrained residues within self-associating low-complexity domains. Proc Natl Acad Sci U S A. 2026;123(19):e2535888123. doi:10.1073/pnas.2535888123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/chiral-inversion-lcd-hotspots-361</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken sections describing: ChIM methodology; Emerin LCD hotspot mapping (188–201) with 3×Pro and 3×D scans; single-residue effects (1×D) and all-D mirror-image rescue; NEFL head domain hotspot (22–41) with 5×D scans; assay descriptions (GST pulldown, turbidity); cross-β/anti-selective interactions; drug-de<br />- transcript topics: Chiral inversion mutagenesis (ChIM) methodology; Emerin (EMD) LCD self-association hotspot mapping (188–201) with Pro/ D-inversions; NEFL head domain hotspot mapping (22–41) with 5×D inversions; Mutational scan results: 3×D, 1×D, 5×D variants and effects on pulldown/turbidity; Mirror-image (all-D) fragment rescue for Emerin; Assays: GST pulldown and turbidity measurements</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ChIM identifies enantioselective interaction hotspots in LCD self-association<br />- Emerin hotspot localized to residues 188–201; 3×Pro insertions disrupt, 3×D inversions within hotspot abrogate pulldown<br />- Single 1×D inversion reduces turbidity by ~6.4-fold in Emerin<br />- All-D mirror-image C-terminal fragment restores Emerin LCD self-association<br />- NEFL head domain hotspot localized to residues 22–41; 5×D inversions yield ~9.1-fold and ~20-fold turbidity reductions (22–30 and 33–41 respectively)<br />- Outside NEFL hotspot, inversions do not disrupt self-association to the same extent</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Beckner RL et al., PNAS - This episode examines a PNAS study using Chiral Inversion Mutagenesis (ChIM) to scan low-complexity domains (LCDs) of Emerin and neurofilament light chain (NEFL). Targeted L-to-D amino acid inversions reveal position-dependent, chirality-sensitive hotspots that control LCD self-association. Key terms: chiral inversion, low-complexity domains, Emerin, neurofilament light chain, synthetic protein chemistry.
 Study Highlights:The authors applied synthetic protein chemistry to introduce site-specific L-to-D Cα inversions (ChIM) in LCDs of Emerin (EMD) and NEFL. ChIM scans identified discrete enantioselective hotspots—EMD residues ~191–203 and NEFL residues ~22–41—where D substitutions strongly reduce self-association measured by GST pulldown and turbidity assays. Minimal inversions, including single D substitutions, can abrogate EMD self-association, while an all-D mirror-image C-terminal fragment restored activity, implicating backbone geometry and secondary-structure involvement. These results show that polypeptide homochirality and transient structure underpin certain LCD–LCD interactions.
 Conclusion:Cα stereochemistry is a determinant of LCD self-association at specific sequence hotspots, and ChIM provides a positional-resolution chemical approach to identify backbone-constrained elements that mediate oligomerization of disordered domains.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Chiral inversion mutagenesis identifies geometrically constrained residues within self - associating low - complexity domains
 First author:Beckner RL
 Journal:PNAS
 DOI:10.1073/pnas.2535888123
 Reference:Beckner RL, Kim L, Carter C, Walterscheid A, Liszczak G. Chiral inversion mutagenesis identifies geometrically constrained residues within self-associating low-complexity domains. Proc Natl Acad Sci U S A. 2026;123(19):e2535888123. doi:10.1073/pnas.2535888123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/chiral-inversion-lcd-hotspots-361
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken sections describing: ChIM methodology; Emerin LCD hotspot mapping (188–201) with 3×Pro and 3×D scans; single-residue effects (1×D) and all-D mirror-image rescue; NEFL head domain hotspot (22–41) with 5×D scans; assay descriptions (GST pulldown, turbidity); cross-β/anti-selective interactions; drug-de- transcript topics: Chiral inversion mutagenesis (ChIM) methodology; Emerin (EMD) LCD self-association hotspot mapping (188–201) with Pro/ D-inversions; NEFL head domain hotspot mapping (22–41) with 5×D inversions; Mutational scan results: 3×D, 1×D, 5×D variants and effects on pulldown/turbidity; Mirror-image (all-D) fragment rescue for Emerin; Assays: GST pulldown and turbidity measurements
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audite...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2457499/c1a-p6xp7-47445655s3kn-zmep39.png"></itunes:image>
                                                                            <itunes:duration>00:24:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[360: An inverse correlation between structural linguistic and human genetic diversity]]>
                </title>
                <pubDate>Thu, 07 May 2026 10:40:34 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2456522</guid>
                                    <link>https://basebybase.castos.com/episodes/inverse-correlation-linguistic-genetic-diversity</link>
                                <description>
                                            <![CDATA[<p>Graff A et al., PNAS - A PNAS study linking global population-genetic data and structural linguistic features finds an inverse correlation: regions with lower genetic diversity show higher structural linguistic diversity, after controlling for geography, phylogeny, and environment. Key terms: linguistic diversity, population genetics, Wright's F, language contact, structural typology.</p>
<p> Study Highlights:<br />The authors merged global genomic samples (Wright’s F / homozygosity) with curated structural linguistic datasets and estimated local structural entropy per grid cell. Using Bayesian GAMMs that adjust for spatial, phylogenetic, environmental, and sampling confounds, they find that higher excess homozygosity (lower genetic diversity) predicts higher structural linguistic entropy. The genetic predictor outperforms other covariates and the effect is robust across grid resolutions and sensitivity checks, though it varies by region and by specific linguistic features. The pattern supports a model where isolation promotes linguistic diversification while contact and admixture promote homogenization.</p>
<p> Conclusion:<br />An inverse, regionally variable correlation between local human genetic diversity and structural linguistic diversity suggests isolation-driven hotspots are key windows into the flexibility and evolution of language structure.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />An inverse correlation between structural linguistic and human genetic diversity</p>
<p> First author:<br />Graff A</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2526762123</p>
<p> Reference:<br />Graff A., Ringen E.J., Zakharko T., Stoneking M., Shimizu K.K., Bickel B., Barbieri C. An inverse correlation between structural linguistic and human genetic diversity. Proc. Natl. Acad. Sci. U.S.A. 2026;123(18):e2526762123. doi:10.1073/pnas.2526762123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/inverse-correlation-linguistic-genetic-diversity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing inverse relationship between local genetic diversity and structural linguistic diversity, methods (F coefficient, entropy, geodesic hex grids), magnitude of effects, regional patterns, and study limitations; cross-checks with article content performed.<br />- transcript topics: Inverse relationship between genetic diversity and linguistic structural diversity; Genetic metric Wright's F and linguistic entropy (normalized Shannon entropy); Geodesic hex grid methodology and grid resolutions (500 km and 300 km); Regional variation and strongest signals (North-Central Asia, Southeast Asia); Feature-level impact and percent of features affected by genetic diversity; Limitations: correlation vs causation and blind spots of genetic data</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Inverse correlation betwee...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Graff A et al., PNAS - A PNAS study linking global population-genetic data and structural linguistic features finds an inverse correlation: regions with lower genetic diversity show higher structural linguistic diversity, after controlling for geography, phylogeny, and environment. Key terms: linguistic diversity, population genetics, Wright's F, language contact, structural typology.
 Study Highlights:The authors merged global genomic samples (Wright’s F / homozygosity) with curated structural linguistic datasets and estimated local structural entropy per grid cell. Using Bayesian GAMMs that adjust for spatial, phylogenetic, environmental, and sampling confounds, they find that higher excess homozygosity (lower genetic diversity) predicts higher structural linguistic entropy. The genetic predictor outperforms other covariates and the effect is robust across grid resolutions and sensitivity checks, though it varies by region and by specific linguistic features. The pattern supports a model where isolation promotes linguistic diversification while contact and admixture promote homogenization.
 Conclusion:An inverse, regionally variable correlation between local human genetic diversity and structural linguistic diversity suggests isolation-driven hotspots are key windows into the flexibility and evolution of language structure.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:An inverse correlation between structural linguistic and human genetic diversity
 First author:Graff A
 Journal:PNAS
 DOI:10.1073/pnas.2526762123
 Reference:Graff A., Ringen E.J., Zakharko T., Stoneking M., Shimizu K.K., Bickel B., Barbieri C. An inverse correlation between structural linguistic and human genetic diversity. Proc. Natl. Acad. Sci. U.S.A. 2026;123(18):e2526762123. doi:10.1073/pnas.2526762123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/inverse-correlation-linguistic-genetic-diversity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing inverse relationship between local genetic diversity and structural linguistic diversity, methods (F coefficient, entropy, geodesic hex grids), magnitude of effects, regional patterns, and study limitations; cross-checks with article content performed.- transcript topics: Inverse relationship between genetic diversity and linguistic structural diversity; Genetic metric Wright's F and linguistic entropy (normalized Shannon entropy); Geodesic hex grid methodology and grid resolutions (500 km and 300 km); Regional variation and strongest signals (North-Central Asia, Southeast Asia); Feature-level impact and percent of features affected by genetic diversity; Limitations: correlation vs causation and blind spots of genetic data
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Inverse correlation betwee...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[360: An inverse correlation between structural linguistic and human genetic diversity]]>
                </itunes:title>
                                    <itunes:episode>360</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Graff A et al., PNAS - A PNAS study linking global population-genetic data and structural linguistic features finds an inverse correlation: regions with lower genetic diversity show higher structural linguistic diversity, after controlling for geography, phylogeny, and environment. Key terms: linguistic diversity, population genetics, Wright's F, language contact, structural typology.</p>
<p> Study Highlights:<br />The authors merged global genomic samples (Wright’s F / homozygosity) with curated structural linguistic datasets and estimated local structural entropy per grid cell. Using Bayesian GAMMs that adjust for spatial, phylogenetic, environmental, and sampling confounds, they find that higher excess homozygosity (lower genetic diversity) predicts higher structural linguistic entropy. The genetic predictor outperforms other covariates and the effect is robust across grid resolutions and sensitivity checks, though it varies by region and by specific linguistic features. The pattern supports a model where isolation promotes linguistic diversification while contact and admixture promote homogenization.</p>
<p> Conclusion:<br />An inverse, regionally variable correlation between local human genetic diversity and structural linguistic diversity suggests isolation-driven hotspots are key windows into the flexibility and evolution of language structure.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />An inverse correlation between structural linguistic and human genetic diversity</p>
<p> First author:<br />Graff A</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2526762123</p>
<p> Reference:<br />Graff A., Ringen E.J., Zakharko T., Stoneking M., Shimizu K.K., Bickel B., Barbieri C. An inverse correlation between structural linguistic and human genetic diversity. Proc. Natl. Acad. Sci. U.S.A. 2026;123(18):e2526762123. doi:10.1073/pnas.2526762123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/inverse-correlation-linguistic-genetic-diversity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing inverse relationship between local genetic diversity and structural linguistic diversity, methods (F coefficient, entropy, geodesic hex grids), magnitude of effects, regional patterns, and study limitations; cross-checks with article content performed.<br />- transcript topics: Inverse relationship between genetic diversity and linguistic structural diversity; Genetic metric Wright's F and linguistic entropy (normalized Shannon entropy); Geodesic hex grid methodology and grid resolutions (500 km and 300 km); Regional variation and strongest signals (North-Central Asia, Southeast Asia); Feature-level impact and percent of features affected by genetic diversity; Limitations: correlation vs causation and blind spots of genetic data</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Inverse correlation between local genetic diversity (F) and local structural linguistic diversity (entropy) after adjusting for geography, phylogeny, environment<br />- F coefficient reflects excess homozygosity, proxy for historical isolation; high F indicates low genetic diversity<br />- Structural linguistic diversity quantified via normalized Shannon entropy across 333 features in 4,257 languages (TLI dataset) with cross-check in GBI (196 features, 2,467 language<br />- Two grid resolutions used: 500 km and 300 km; analyses include jittered coordinates as sensitivity checks<br />- Genetic predictor emerges as strongest correlates of linguistic diversity, outperforming environment and population density in main models<br />- Magnitude: approximately 2.3% increase in entropy per SD increase in F (500 km grid); about 2.1% in the finer grid (300 km)</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                    <![CDATA[Graff A et al., PNAS - A PNAS study linking global population-genetic data and structural linguistic features finds an inverse correlation: regions with lower genetic diversity show higher structural linguistic diversity, after controlling for geography, phylogeny, and environment. Key terms: linguistic diversity, population genetics, Wright's F, language contact, structural typology.
 Study Highlights:The authors merged global genomic samples (Wright’s F / homozygosity) with curated structural linguistic datasets and estimated local structural entropy per grid cell. Using Bayesian GAMMs that adjust for spatial, phylogenetic, environmental, and sampling confounds, they find that higher excess homozygosity (lower genetic diversity) predicts higher structural linguistic entropy. The genetic predictor outperforms other covariates and the effect is robust across grid resolutions and sensitivity checks, though it varies by region and by specific linguistic features. The pattern supports a model where isolation promotes linguistic diversification while contact and admixture promote homogenization.
 Conclusion:An inverse, regionally variable correlation between local human genetic diversity and structural linguistic diversity suggests isolation-driven hotspots are key windows into the flexibility and evolution of language structure.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:An inverse correlation between structural linguistic and human genetic diversity
 First author:Graff A
 Journal:PNAS
 DOI:10.1073/pnas.2526762123
 Reference:Graff A., Ringen E.J., Zakharko T., Stoneking M., Shimizu K.K., Bickel B., Barbieri C. An inverse correlation between structural linguistic and human genetic diversity. Proc. Natl. Acad. Sci. U.S.A. 2026;123(18):e2526762123. doi:10.1073/pnas.2526762123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/inverse-correlation-linguistic-genetic-diversity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing inverse relationship between local genetic diversity and structural linguistic diversity, methods (F coefficient, entropy, geodesic hex grids), magnitude of effects, regional patterns, and study limitations; cross-checks with article content performed.- transcript topics: Inverse relationship between genetic diversity and linguistic structural diversity; Genetic metric Wright's F and linguistic entropy (normalized Shannon entropy); Geodesic hex grid methodology and grid resolutions (500 km and 300 km); Regional variation and strongest signals (North-Central Asia, Southeast Asia); Feature-level impact and percent of features affected by genetic diversity; Limitations: correlation vs causation and blind spots of genetic data
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Inverse correlation betwee...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2456522/c1a-p6xp7-v6vv593mtj55-osskmj.png"></itunes:image>
                                                                            <itunes:duration>00:26:51</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[359: Ultrapotent PDCoV Miniprotein MB11]]>
                </title>
                <pubDate>Wed, 06 May 2026 05:58:33 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2455215</guid>
                                    <link>https://basebybase.castos.com/episodes/mb11-pdcoronavirus-minibinder</link>
                                <description>
                                            <![CDATA[<p>Avery NG et al., PNAS - This episode covers a PNAS study reporting the de novo design of miniprotein inhibitors targeting porcine deltacoronavirus (PDCoV). The lead minibinder, MB11, binds the PDCoV RBD with picomolar affinity, broadly neutralizes diverse deltacoronaviruses, and resists multiple biochemical stresses. Key terms: Porcine deltacoronavirus, miniprotein inhibitor, MB11, protein design, neutralization.</p>
<p> Study Highlights:<br />Researchers used computational design (BindCraft and AlphaFold3) to generate miniprotein inhibitors targeting the PDCoV receptor-binding domain and screened candidates by BLI and pseudovirus neutralization. MB11 binds the PDCoV RBD with KD ~155 pM and neutralizes PDCoV and several distantly related DCoVs with superior potency to known antibodies. Cryo-EM shows MB11 occludes receptor-binding loops and sterically blocks APN engagement, explaining broad neutralization. Deep mutational scanning indicates a high barrier to escape and biochemical tests show MB11 retains function after high temperature and low pH exposure but is susceptible to pepsin.</p>
<p> Conclusion:<br />MB11 is a promising preclinical PDCoV inhibitor combining ultrapotent, broad neutralization, mechanistic receptor blockade, and favorable stability, supporting further development for pandemic preparedness.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Computational design of an ultrapotent deltacoronavirus miniprotein inhibitor</p>
<p> First author:<br />Avery NG</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2533456123</p>
<p> Reference:<br />Avery NG, Yoshiyama CN, Taylor AL, Park Y-J, Asarnow D, Perruzza L, Brown JT, Corti D, Benigni F, Starr TN, Veesler D. Computational design of an ultrapotent deltacoronavirus miniprotein inhibitor. PNAS. 2026;123:e2533456123. doi:10.1073/pnas.2533456123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mb11-pdcoronavirus-minibinder</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the sections covering MB11 design (BindCraft/AF3), binding measurements (BLI), neutralization assays (PDCoV and related DCoVs), cryo-EM structural validation, deep mutational scanning escape analysis, biophysical stability tests (heat/acid/enzymes), and delivery/manufacturing implications discussed.<br />- transcript topics: Computational minibinder design (BindCraft and AlphaFold3); Biolayer interferometry binding screening; Pseudovirus neutralization assays and breadth across DCoVs; Cryo-EM structure and mechanism of entry inhibition; Deep mutational scanning and viral escape barriers; Biophysical stability under heat, low pH, and proteases</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MB11 has KD ≈ 155 pM to PDCoV RBD (binds with high affinity).<br />- MB11 neutralizes PDCoV pseudovirus with IC50 ≈ 216 pM.<br />- MB11 shows broad neutralization across DCoVs, including SparrowC...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Avery NG et al., PNAS - This episode covers a PNAS study reporting the de novo design of miniprotein inhibitors targeting porcine deltacoronavirus (PDCoV). The lead minibinder, MB11, binds the PDCoV RBD with picomolar affinity, broadly neutralizes diverse deltacoronaviruses, and resists multiple biochemical stresses. Key terms: Porcine deltacoronavirus, miniprotein inhibitor, MB11, protein design, neutralization.
 Study Highlights:Researchers used computational design (BindCraft and AlphaFold3) to generate miniprotein inhibitors targeting the PDCoV receptor-binding domain and screened candidates by BLI and pseudovirus neutralization. MB11 binds the PDCoV RBD with KD ~155 pM and neutralizes PDCoV and several distantly related DCoVs with superior potency to known antibodies. Cryo-EM shows MB11 occludes receptor-binding loops and sterically blocks APN engagement, explaining broad neutralization. Deep mutational scanning indicates a high barrier to escape and biochemical tests show MB11 retains function after high temperature and low pH exposure but is susceptible to pepsin.
 Conclusion:MB11 is a promising preclinical PDCoV inhibitor combining ultrapotent, broad neutralization, mechanistic receptor blockade, and favorable stability, supporting further development for pandemic preparedness.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Computational design of an ultrapotent deltacoronavirus miniprotein inhibitor
 First author:Avery NG
 Journal:PNAS
 DOI:10.1073/pnas.2533456123
 Reference:Avery NG, Yoshiyama CN, Taylor AL, Park Y-J, Asarnow D, Perruzza L, Brown JT, Corti D, Benigni F, Starr TN, Veesler D. Computational design of an ultrapotent deltacoronavirus miniprotein inhibitor. PNAS. 2026;123:e2533456123. doi:10.1073/pnas.2533456123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mb11-pdcoronavirus-minibinder
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the sections covering MB11 design (BindCraft/AF3), binding measurements (BLI), neutralization assays (PDCoV and related DCoVs), cryo-EM structural validation, deep mutational scanning escape analysis, biophysical stability tests (heat/acid/enzymes), and delivery/manufacturing implications discussed.- transcript topics: Computational minibinder design (BindCraft and AlphaFold3); Biolayer interferometry binding screening; Pseudovirus neutralization assays and breadth across DCoVs; Cryo-EM structure and mechanism of entry inhibition; Deep mutational scanning and viral escape barriers; Biophysical stability under heat, low pH, and proteases
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MB11 has KD ≈ 155 pM to PDCoV RBD (binds with high affinity).- MB11 neutralizes PDCoV pseudovirus with IC50 ≈ 216 pM.- MB11 shows broad neutralization across DCoVs, including SparrowC...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[359: Ultrapotent PDCoV Miniprotein MB11]]>
                </itunes:title>
                                    <itunes:episode>359</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Avery NG et al., PNAS - This episode covers a PNAS study reporting the de novo design of miniprotein inhibitors targeting porcine deltacoronavirus (PDCoV). The lead minibinder, MB11, binds the PDCoV RBD with picomolar affinity, broadly neutralizes diverse deltacoronaviruses, and resists multiple biochemical stresses. Key terms: Porcine deltacoronavirus, miniprotein inhibitor, MB11, protein design, neutralization.</p>
<p> Study Highlights:<br />Researchers used computational design (BindCraft and AlphaFold3) to generate miniprotein inhibitors targeting the PDCoV receptor-binding domain and screened candidates by BLI and pseudovirus neutralization. MB11 binds the PDCoV RBD with KD ~155 pM and neutralizes PDCoV and several distantly related DCoVs with superior potency to known antibodies. Cryo-EM shows MB11 occludes receptor-binding loops and sterically blocks APN engagement, explaining broad neutralization. Deep mutational scanning indicates a high barrier to escape and biochemical tests show MB11 retains function after high temperature and low pH exposure but is susceptible to pepsin.</p>
<p> Conclusion:<br />MB11 is a promising preclinical PDCoV inhibitor combining ultrapotent, broad neutralization, mechanistic receptor blockade, and favorable stability, supporting further development for pandemic preparedness.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Computational design of an ultrapotent deltacoronavirus miniprotein inhibitor</p>
<p> First author:<br />Avery NG</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2533456123</p>
<p> Reference:<br />Avery NG, Yoshiyama CN, Taylor AL, Park Y-J, Asarnow D, Perruzza L, Brown JT, Corti D, Benigni F, Starr TN, Veesler D. Computational design of an ultrapotent deltacoronavirus miniprotein inhibitor. PNAS. 2026;123:e2533456123. doi:10.1073/pnas.2533456123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mb11-pdcoronavirus-minibinder</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the sections covering MB11 design (BindCraft/AF3), binding measurements (BLI), neutralization assays (PDCoV and related DCoVs), cryo-EM structural validation, deep mutational scanning escape analysis, biophysical stability tests (heat/acid/enzymes), and delivery/manufacturing implications discussed.<br />- transcript topics: Computational minibinder design (BindCraft and AlphaFold3); Biolayer interferometry binding screening; Pseudovirus neutralization assays and breadth across DCoVs; Cryo-EM structure and mechanism of entry inhibition; Deep mutational scanning and viral escape barriers; Biophysical stability under heat, low pH, and proteases</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MB11 has KD ≈ 155 pM to PDCoV RBD (binds with high affinity).<br />- MB11 neutralizes PDCoV pseudovirus with IC50 ≈ 216 pM.<br />- MB11 shows broad neutralization across DCoVs, including SparrowCoVISU42824 (IC50 ≈ 14 pM) and MuniaCoVHKU13 (IC50 ≈ 152 nM).<br />- Cryo-EM reveals MB11 wedges into PDCoV RBD receptor-binding loops, blocking APN engagement; structure at 2.8 Å resolution with AF3 predicted model within ~0.6 Å RMSD.<br />- Deep mutational scanning shows a high barrier to escape; only a few mutations (at residues such as Y394 and V395) can modestly affect binding without severely compromising APN affi<br />- MB11 remains functional after heating to 70 °C for 1 h and after exposure to pH 2.2; largely resistant to proteases (except pepsin) and not aggregated after stress.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Avery NG et al., PNAS - This episode covers a PNAS study reporting the de novo design of miniprotein inhibitors targeting porcine deltacoronavirus (PDCoV). The lead minibinder, MB11, binds the PDCoV RBD with picomolar affinity, broadly neutralizes diverse deltacoronaviruses, and resists multiple biochemical stresses. Key terms: Porcine deltacoronavirus, miniprotein inhibitor, MB11, protein design, neutralization.
 Study Highlights:Researchers used computational design (BindCraft and AlphaFold3) to generate miniprotein inhibitors targeting the PDCoV receptor-binding domain and screened candidates by BLI and pseudovirus neutralization. MB11 binds the PDCoV RBD with KD ~155 pM and neutralizes PDCoV and several distantly related DCoVs with superior potency to known antibodies. Cryo-EM shows MB11 occludes receptor-binding loops and sterically blocks APN engagement, explaining broad neutralization. Deep mutational scanning indicates a high barrier to escape and biochemical tests show MB11 retains function after high temperature and low pH exposure but is susceptible to pepsin.
 Conclusion:MB11 is a promising preclinical PDCoV inhibitor combining ultrapotent, broad neutralization, mechanistic receptor blockade, and favorable stability, supporting further development for pandemic preparedness.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Computational design of an ultrapotent deltacoronavirus miniprotein inhibitor
 First author:Avery NG
 Journal:PNAS
 DOI:10.1073/pnas.2533456123
 Reference:Avery NG, Yoshiyama CN, Taylor AL, Park Y-J, Asarnow D, Perruzza L, Brown JT, Corti D, Benigni F, Starr TN, Veesler D. Computational design of an ultrapotent deltacoronavirus miniprotein inhibitor. PNAS. 2026;123:e2533456123. doi:10.1073/pnas.2533456123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mb11-pdcoronavirus-minibinder
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the sections covering MB11 design (BindCraft/AF3), binding measurements (BLI), neutralization assays (PDCoV and related DCoVs), cryo-EM structural validation, deep mutational scanning escape analysis, biophysical stability tests (heat/acid/enzymes), and delivery/manufacturing implications discussed.- transcript topics: Computational minibinder design (BindCraft and AlphaFold3); Biolayer interferometry binding screening; Pseudovirus neutralization assays and breadth across DCoVs; Cryo-EM structure and mechanism of entry inhibition; Deep mutational scanning and viral escape barriers; Biophysical stability under heat, low pH, and proteases
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MB11 has KD ≈ 155 pM to PDCoV RBD (binds with high affinity).- MB11 neutralizes PDCoV pseudovirus with IC50 ≈ 216 pM.- MB11 shows broad neutralization across DCoVs, including SparrowC...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2455215/c1a-p6xp7-ww44p660hpzr-g0lgik.png"></itunes:image>
                                                                            <itunes:duration>00:23:06</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[358: CHCHD4 and a Pediatric OXPHOS Collapse]]>
                </title>
                <pubDate>Tue, 05 May 2026 08:54:13 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2454352</guid>
                                    <link>https://basebybase.castos.com/episodes/biallelic-chchd4-oxphos-defect</link>
                                <description>
                                            <![CDATA[<p>Mantecon M et al., Human Genetics and Genomics Advances - This episode reviews a brief communication reporting a pediatric patient with biallelic CHCHD4 variants who presented with severe neurological regression and early death. Functional studies in patient fibroblasts show decreased CHCHD4 protein, marked assembly defects of mitochondrial complexes I and IV, and broad downregulation of electron transport and complex I biogenesis. Lentiviral expression of wild-type CHCHD4 restored OXPHOS proteins and assembly, linking CHCHD4 deficiency to human mitochondrial disease. Key terms: CHCHD4, mitochondrial disease, OXPHOS, complex I, protein import.</p>
<p> Study Highlights:<br />A single infant carried a paternal c.5C&gt;T (p.Ser2Phe) CHCHD4 variant and a maternal deletion encompassing CHCHD4, resulting in markedly reduced CHCHD4 protein and severe lactic acidosis with neurological regression. Fibroblast analyses revealed decreased complex I and IV subunits, assembly defects on BN-PAGE, and widespread downregulation of mitochondrial proteins by proteomics, with respiratory electron transport and complex I biogenesis identified as the main dysregulated pathways. Lentiviral overexpression of wild-type CHCHD4 in patient cells restored CHCHD4 levels, rescued complex I and IV protein abundance and assembly, and reversed many proteomic changes, supporting causality.</p>
<p> Conclusion:<br />Biallelic CHCHD4 deficiency causes a severe early-onset mitochondrial disease by impairing mitochondrial protein import and assembly of complexes I and IV; restoration of CHCHD4 rescues the molecular defects. Additional cases are needed to define the clinical spectrum and the functional impact of specific variants.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Biallelic variants in CHCHD4 are associated with combined OXPHOS defect leading to mitochondrial disease</p>
<p> First author:<br />Mantecon M</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100615</p>
<p> Reference:<br />Mantecon M, Chhuon C, Roger K, et al. Biallelic variants in CHCHD4 are associated with combined OXPHOS defect leading to mitochondrial disease. Human Genetics and Genomics Advances. 2026;7:100615. doi:10.1016/j.xhgg.2026.100615</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/biallelic-chchd4-oxphos-defect</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the sections describing CHCHD4 function in the MIA pathway, the pediatric case with biallelic CHCHD4 variants, AlphaFold structural predictions for Ser2Phe, lentiviral complementation rescuing OXPHOS defects, and the proteomics results including selective vulnerability and clinical implications.<br />- transcript topics: MIA pathway and CHCHD4 function in mitochondrial protein import; Genetic case and inheritance pattern (p.Ser2Phe with maternal CHCHD4 deletion); AlphaFold structural prediction of Ser2Phe destabilizing CHCHD4; Functional complementation rescue with WT CHCHD4 in patient fibroblasts; Proteomics results showing OXPHOS defects and selective vulnerability; Clinical implications: CHCHD4 deficiency as a novel cause of mitochondrial disease</p>
<p>QC...</p>
<h3>Chapters</h3>
<ul><li>(00:00:20) - A cellular blackout: The nuclear power plant</li><li>(00:02:22) - Mitochondrial dysfunction: The power grid of the cell</li><li>(00:06:39) - Mitochondrial disease 8, Genetic Errors</li><li>(00:12:29) - The CRISPR-based diagnosis of iron deficiency</li><li>(00:18:27) - Bring the light back in mitochondrial disease</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Mantecon M et al., Human Genetics and Genomics Advances - This episode reviews a brief communication reporting a pediatric patient with biallelic CHCHD4 variants who presented with severe neurological regression and early death. Functional studies in patient fibroblasts show decreased CHCHD4 protein, marked assembly defects of mitochondrial complexes I and IV, and broad downregulation of electron transport and complex I biogenesis. Lentiviral expression of wild-type CHCHD4 restored OXPHOS proteins and assembly, linking CHCHD4 deficiency to human mitochondrial disease. Key terms: CHCHD4, mitochondrial disease, OXPHOS, complex I, protein import.
 Study Highlights:A single infant carried a paternal c.5C>T (p.Ser2Phe) CHCHD4 variant and a maternal deletion encompassing CHCHD4, resulting in markedly reduced CHCHD4 protein and severe lactic acidosis with neurological regression. Fibroblast analyses revealed decreased complex I and IV subunits, assembly defects on BN-PAGE, and widespread downregulation of mitochondrial proteins by proteomics, with respiratory electron transport and complex I biogenesis identified as the main dysregulated pathways. Lentiviral overexpression of wild-type CHCHD4 in patient cells restored CHCHD4 levels, rescued complex I and IV protein abundance and assembly, and reversed many proteomic changes, supporting causality.
 Conclusion:Biallelic CHCHD4 deficiency causes a severe early-onset mitochondrial disease by impairing mitochondrial protein import and assembly of complexes I and IV; restoration of CHCHD4 rescues the molecular defects. Additional cases are needed to define the clinical spectrum and the functional impact of specific variants.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Biallelic variants in CHCHD4 are associated with combined OXPHOS defect leading to mitochondrial disease
 First author:Mantecon M
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100615
 Reference:Mantecon M, Chhuon C, Roger K, et al. Biallelic variants in CHCHD4 are associated with combined OXPHOS defect leading to mitochondrial disease. Human Genetics and Genomics Advances. 2026;7:100615. doi:10.1016/j.xhgg.2026.100615
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/biallelic-chchd4-oxphos-defect
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the sections describing CHCHD4 function in the MIA pathway, the pediatric case with biallelic CHCHD4 variants, AlphaFold structural predictions for Ser2Phe, lentiviral complementation rescuing OXPHOS defects, and the proteomics results including selective vulnerability and clinical implications.- transcript topics: MIA pathway and CHCHD4 function in mitochondrial protein import; Genetic case and inheritance pattern (p.Ser2Phe with maternal CHCHD4 deletion); AlphaFold structural prediction of Ser2Phe destabilizing CHCHD4; Functional complementation rescue with WT CHCHD4 in patient fibroblasts; Proteomics results showing OXPHOS defects and selective vulnerability; Clinical implications: CHCHD4 deficiency as a novel cause of mitochondrial disease
QC...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[358: CHCHD4 and a Pediatric OXPHOS Collapse]]>
                </itunes:title>
                                    <itunes:episode>358</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Mantecon M et al., Human Genetics and Genomics Advances - This episode reviews a brief communication reporting a pediatric patient with biallelic CHCHD4 variants who presented with severe neurological regression and early death. Functional studies in patient fibroblasts show decreased CHCHD4 protein, marked assembly defects of mitochondrial complexes I and IV, and broad downregulation of electron transport and complex I biogenesis. Lentiviral expression of wild-type CHCHD4 restored OXPHOS proteins and assembly, linking CHCHD4 deficiency to human mitochondrial disease. Key terms: CHCHD4, mitochondrial disease, OXPHOS, complex I, protein import.</p>
<p> Study Highlights:<br />A single infant carried a paternal c.5C&gt;T (p.Ser2Phe) CHCHD4 variant and a maternal deletion encompassing CHCHD4, resulting in markedly reduced CHCHD4 protein and severe lactic acidosis with neurological regression. Fibroblast analyses revealed decreased complex I and IV subunits, assembly defects on BN-PAGE, and widespread downregulation of mitochondrial proteins by proteomics, with respiratory electron transport and complex I biogenesis identified as the main dysregulated pathways. Lentiviral overexpression of wild-type CHCHD4 in patient cells restored CHCHD4 levels, rescued complex I and IV protein abundance and assembly, and reversed many proteomic changes, supporting causality.</p>
<p> Conclusion:<br />Biallelic CHCHD4 deficiency causes a severe early-onset mitochondrial disease by impairing mitochondrial protein import and assembly of complexes I and IV; restoration of CHCHD4 rescues the molecular defects. Additional cases are needed to define the clinical spectrum and the functional impact of specific variants.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Biallelic variants in CHCHD4 are associated with combined OXPHOS defect leading to mitochondrial disease</p>
<p> First author:<br />Mantecon M</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100615</p>
<p> Reference:<br />Mantecon M, Chhuon C, Roger K, et al. Biallelic variants in CHCHD4 are associated with combined OXPHOS defect leading to mitochondrial disease. Human Genetics and Genomics Advances. 2026;7:100615. doi:10.1016/j.xhgg.2026.100615</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/biallelic-chchd4-oxphos-defect</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the sections describing CHCHD4 function in the MIA pathway, the pediatric case with biallelic CHCHD4 variants, AlphaFold structural predictions for Ser2Phe, lentiviral complementation rescuing OXPHOS defects, and the proteomics results including selective vulnerability and clinical implications.<br />- transcript topics: MIA pathway and CHCHD4 function in mitochondrial protein import; Genetic case and inheritance pattern (p.Ser2Phe with maternal CHCHD4 deletion); AlphaFold structural prediction of Ser2Phe destabilizing CHCHD4; Functional complementation rescue with WT CHCHD4 in patient fibroblasts; Proteomics results showing OXPHOS defects and selective vulnerability; Clinical implications: CHCHD4 deficiency as a novel cause of mitochondrial disease</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CHCHD4 is a component of the mitochondrial import and assembly (MIA) pathway that imports small cysteine-containing substrates and its deficiency impairs import and assembly of oxi<br />- Subject carried biallelic CHCHD4 variants: paternal Ser2Phe and a maternal CHCHD4 deletion; subject fibroblasts show reduced CHCHD4 and defects in OXPHOS protein levels and assembl<br />- AlphaFold predicted that Ser2Phe destabilizes CHCHD4 by disrupting a hydrogen-bond zipper near a beta-hairpin, explaining loss of function.<br />- Functional complementation with wild-type CHCHD4 via lentiviral expression rescues CHCHD4 levels and restores complex I and IV protein abundance and assembly in subject-derived cel<br />- Proteomics shows broad downregulation of mitochondrial proteins with CHCHD4 deficiency; rescue of CHCHD4 restores many affected proteins; iron-sulfur cluster export pathways largel<br />- CHCHD4 deficiency is identified as a novel cause of severe mitochondrial disease in humans; the study is limited by a single-case design and calls for additional cases to define na</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Mantecon M et al., Human Genetics and Genomics Advances - This episode reviews a brief communication reporting a pediatric patient with biallelic CHCHD4 variants who presented with severe neurological regression and early death. Functional studies in patient fibroblasts show decreased CHCHD4 protein, marked assembly defects of mitochondrial complexes I and IV, and broad downregulation of electron transport and complex I biogenesis. Lentiviral expression of wild-type CHCHD4 restored OXPHOS proteins and assembly, linking CHCHD4 deficiency to human mitochondrial disease. Key terms: CHCHD4, mitochondrial disease, OXPHOS, complex I, protein import.
 Study Highlights:A single infant carried a paternal c.5C>T (p.Ser2Phe) CHCHD4 variant and a maternal deletion encompassing CHCHD4, resulting in markedly reduced CHCHD4 protein and severe lactic acidosis with neurological regression. Fibroblast analyses revealed decreased complex I and IV subunits, assembly defects on BN-PAGE, and widespread downregulation of mitochondrial proteins by proteomics, with respiratory electron transport and complex I biogenesis identified as the main dysregulated pathways. Lentiviral overexpression of wild-type CHCHD4 in patient cells restored CHCHD4 levels, rescued complex I and IV protein abundance and assembly, and reversed many proteomic changes, supporting causality.
 Conclusion:Biallelic CHCHD4 deficiency causes a severe early-onset mitochondrial disease by impairing mitochondrial protein import and assembly of complexes I and IV; restoration of CHCHD4 rescues the molecular defects. Additional cases are needed to define the clinical spectrum and the functional impact of specific variants.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Biallelic variants in CHCHD4 are associated with combined OXPHOS defect leading to mitochondrial disease
 First author:Mantecon M
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100615
 Reference:Mantecon M, Chhuon C, Roger K, et al. Biallelic variants in CHCHD4 are associated with combined OXPHOS defect leading to mitochondrial disease. Human Genetics and Genomics Advances. 2026;7:100615. doi:10.1016/j.xhgg.2026.100615
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/biallelic-chchd4-oxphos-defect
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the sections describing CHCHD4 function in the MIA pathway, the pediatric case with biallelic CHCHD4 variants, AlphaFold structural predictions for Ser2Phe, lentiviral complementation rescuing OXPHOS defects, and the proteomics results including selective vulnerability and clinical implications.- transcript topics: MIA pathway and CHCHD4 function in mitochondrial protein import; Genetic case and inheritance pattern (p.Ser2Phe with maternal CHCHD4 deletion); AlphaFold structural prediction of Ser2Phe destabilizing CHCHD4; Functional complementation rescue with WT CHCHD4 in patient fibroblasts; Proteomics results showing OXPHOS defects and selective vulnerability; Clinical implications: CHCHD4 deficiency as a novel cause of mitochondrial disease
QC...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:25:46</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2454352/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[356: Recessive Coding Associations Across Six Biobanks]]>
                </title>
                <pubDate>Sun, 03 May 2026 22:44:51 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2453077</guid>
                                    <link>https://basebybase.castos.com/episodes/recessive-coding-associations-six-biobanks</link>
                                <description>
                                            <![CDATA[<p>Lassen F et al., The American Journal of Human Genetics - Meta-analysis of up to 948,690 exome- or whole-genome-sequenced individuals across six biobanks used statistical phasing to infer compound-heterozygous genotypes, increasing detectable bi-allelic damaging genotypes by 19% and identifying 58 significant gene-trait associations, 17 of which show stronger recessive effects. Key terms: recessive genetics, compound heterozygous, biobank meta-analysis, loss-of-function, statistical phasing.</p>
<p> Study Highlights:<br />The study combined data from UKB, All of Us, 100kGP, Genes &amp; Health, BioMe, and BBJ totaling 948,690 samples and phased rare variants to detect compound-heterozygous genotypes. Phasing increased the number of bi-allelic damaging genotypes by 19% and identified 5,563 genes with bi-allelic pLoF genotypes. Gene-based recessive testing across 41 traits found 58 significant associations after meta-analysis and Cauchy combination, with 17 instances showing stronger recessive than additive effects, including HBB with heart failure and LECT2 with height. The federated, cross-biobank approach improved power and highlighted the value of diverse ancestries for discovering recessive effects.</p>
<p> Conclusion:<br />Federated meta-analysis across multiple biobanks combined with statistical phasing substantially increases discovery of rare recessive gene-trait associations and expands the catalog of human gene knockouts, demonstrating the importance of phasing and diverse cohorts for recessive-effect discovery.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Meta-analysis across six global biobanks identifies recessive coding associations with complex traits and diseases</p>
<p> First author:<br />Lassen F</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.04.005</p>
<p> Reference:<br />Lassen F.H. et al., 2026. Meta-analysis across six global biobanks identifies recessive coding associations with complex traits and diseases. The American Journal of Human Genetics 113, 1–17. https://doi.org/10.1016/j.ajhg.2026.04.005</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/recessive-coding-associations-six-biobanks</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing: the role of statistical phasing to identify compound-heterozygous genotypes, the scale across six biobanks (~950k individuals), the rise in bi-allelic genotypes, and key recessive gene–trait associations (HBB, LECT2, ENSG00000267561, PYGM, ODAD1), plus pleiotropy and conditional<br />- transcript topics: Introduction to human knockouts and biobank-scale data; Compound heterozygosity and the need for phasing; Statistical phasing across six biobanks and study scale; Gene-based recessive associations across 41 traits; Notable associations: HBB with heart failure and lipids; LECT2 with height; ENSG00000267561 with height; BTNL9 association with HDL-C and triglycerides</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0&lt;...</p>
<h3>Chapters</h3>
<ul><li>(00:00:11) - The Hidden World of Human Knockouts</li><li>(00:06:52) - The genetic knockouts of the UK and Japan</li><li>(00:09:47) - The Mendelian genetic mystery of heart disease</li><li>(00:12:28) - The HBB Paradox</li><li>(00:17:54) - The genetic determinants of healthcare</li><li>(00:19:00) - What Happens to Medicine When we Sequence a Billion People?</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Lassen F et al., The American Journal of Human Genetics - Meta-analysis of up to 948,690 exome- or whole-genome-sequenced individuals across six biobanks used statistical phasing to infer compound-heterozygous genotypes, increasing detectable bi-allelic damaging genotypes by 19% and identifying 58 significant gene-trait associations, 17 of which show stronger recessive effects. Key terms: recessive genetics, compound heterozygous, biobank meta-analysis, loss-of-function, statistical phasing.
 Study Highlights:The study combined data from UKB, All of Us, 100kGP, Genes & Health, BioMe, and BBJ totaling 948,690 samples and phased rare variants to detect compound-heterozygous genotypes. Phasing increased the number of bi-allelic damaging genotypes by 19% and identified 5,563 genes with bi-allelic pLoF genotypes. Gene-based recessive testing across 41 traits found 58 significant associations after meta-analysis and Cauchy combination, with 17 instances showing stronger recessive than additive effects, including HBB with heart failure and LECT2 with height. The federated, cross-biobank approach improved power and highlighted the value of diverse ancestries for discovering recessive effects.
 Conclusion:Federated meta-analysis across multiple biobanks combined with statistical phasing substantially increases discovery of rare recessive gene-trait associations and expands the catalog of human gene knockouts, demonstrating the importance of phasing and diverse cohorts for recessive-effect discovery.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Meta-analysis across six global biobanks identifies recessive coding associations with complex traits and diseases
 First author:Lassen F
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.04.005
 Reference:Lassen F.H. et al., 2026. Meta-analysis across six global biobanks identifies recessive coding associations with complex traits and diseases. The American Journal of Human Genetics 113, 1–17. https://doi.org/10.1016/j.ajhg.2026.04.005
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/recessive-coding-associations-six-biobanks
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing: the role of statistical phasing to identify compound-heterozygous genotypes, the scale across six biobanks (~950k individuals), the rise in bi-allelic genotypes, and key recessive gene–trait associations (HBB, LECT2, ENSG00000267561, PYGM, ODAD1), plus pleiotropy and conditional- transcript topics: Introduction to human knockouts and biobank-scale data; Compound heterozygosity and the need for phasing; Statistical phasing across six biobanks and study scale; Gene-based recessive associations across 41 traits; Notable associations: HBB with heart failure and lipids; LECT2 with height; ENSG00000267561 with height; BTNL9 association with HDL-C and triglycerides
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0<...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[356: Recessive Coding Associations Across Six Biobanks]]>
                </itunes:title>
                                    <itunes:episode>356</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Lassen F et al., The American Journal of Human Genetics - Meta-analysis of up to 948,690 exome- or whole-genome-sequenced individuals across six biobanks used statistical phasing to infer compound-heterozygous genotypes, increasing detectable bi-allelic damaging genotypes by 19% and identifying 58 significant gene-trait associations, 17 of which show stronger recessive effects. Key terms: recessive genetics, compound heterozygous, biobank meta-analysis, loss-of-function, statistical phasing.</p>
<p> Study Highlights:<br />The study combined data from UKB, All of Us, 100kGP, Genes &amp; Health, BioMe, and BBJ totaling 948,690 samples and phased rare variants to detect compound-heterozygous genotypes. Phasing increased the number of bi-allelic damaging genotypes by 19% and identified 5,563 genes with bi-allelic pLoF genotypes. Gene-based recessive testing across 41 traits found 58 significant associations after meta-analysis and Cauchy combination, with 17 instances showing stronger recessive than additive effects, including HBB with heart failure and LECT2 with height. The federated, cross-biobank approach improved power and highlighted the value of diverse ancestries for discovering recessive effects.</p>
<p> Conclusion:<br />Federated meta-analysis across multiple biobanks combined with statistical phasing substantially increases discovery of rare recessive gene-trait associations and expands the catalog of human gene knockouts, demonstrating the importance of phasing and diverse cohorts for recessive-effect discovery.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Meta-analysis across six global biobanks identifies recessive coding associations with complex traits and diseases</p>
<p> First author:<br />Lassen F</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.04.005</p>
<p> Reference:<br />Lassen F.H. et al., 2026. Meta-analysis across six global biobanks identifies recessive coding associations with complex traits and diseases. The American Journal of Human Genetics 113, 1–17. https://doi.org/10.1016/j.ajhg.2026.04.005</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/recessive-coding-associations-six-biobanks</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing: the role of statistical phasing to identify compound-heterozygous genotypes, the scale across six biobanks (~950k individuals), the rise in bi-allelic genotypes, and key recessive gene–trait associations (HBB, LECT2, ENSG00000267561, PYGM, ODAD1), plus pleiotropy and conditional<br />- transcript topics: Introduction to human knockouts and biobank-scale data; Compound heterozygosity and the need for phasing; Statistical phasing across six biobanks and study scale; Gene-based recessive associations across 41 traits; Notable associations: HBB with heart failure and lipids; LECT2 with height; ENSG00000267561 with height; BTNL9 association with HDL-C and triglycerides</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PHASED approach increased bi-allelic damaging genotypes by 19% (compound-heterozygous and homozygous) across biobanks<br />- Identified 5,563 genes harboring bi-allelic genotypes; 1,767 additional genes beyond previous studies; total 8,925 unique genes when accounting for overlaps<br />- CH variants increased testable genes by 8.9% to 1,253 genes (from 1,151)<br />- 58 significant gene–trait associations identified; 17 likely recessive (based on comparing recessive vs additive signals)<br />- Notable recessive associations include HBB with heart failure and lipid traits; LECT2 with height; ENSG00000267561 with height; PYGM with AST; ODAD1 with COPD<br />- Ancestry-diversity contribution: 1,371 of the new knockouts found in non-European ancestries, concentrated in SAS cohorts</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Lassen F et al., The American Journal of Human Genetics - Meta-analysis of up to 948,690 exome- or whole-genome-sequenced individuals across six biobanks used statistical phasing to infer compound-heterozygous genotypes, increasing detectable bi-allelic damaging genotypes by 19% and identifying 58 significant gene-trait associations, 17 of which show stronger recessive effects. Key terms: recessive genetics, compound heterozygous, biobank meta-analysis, loss-of-function, statistical phasing.
 Study Highlights:The study combined data from UKB, All of Us, 100kGP, Genes & Health, BioMe, and BBJ totaling 948,690 samples and phased rare variants to detect compound-heterozygous genotypes. Phasing increased the number of bi-allelic damaging genotypes by 19% and identified 5,563 genes with bi-allelic pLoF genotypes. Gene-based recessive testing across 41 traits found 58 significant associations after meta-analysis and Cauchy combination, with 17 instances showing stronger recessive than additive effects, including HBB with heart failure and LECT2 with height. The federated, cross-biobank approach improved power and highlighted the value of diverse ancestries for discovering recessive effects.
 Conclusion:Federated meta-analysis across multiple biobanks combined with statistical phasing substantially increases discovery of rare recessive gene-trait associations and expands the catalog of human gene knockouts, demonstrating the importance of phasing and diverse cohorts for recessive-effect discovery.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Meta-analysis across six global biobanks identifies recessive coding associations with complex traits and diseases
 First author:Lassen F
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.04.005
 Reference:Lassen F.H. et al., 2026. Meta-analysis across six global biobanks identifies recessive coding associations with complex traits and diseases. The American Journal of Human Genetics 113, 1–17. https://doi.org/10.1016/j.ajhg.2026.04.005
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/recessive-coding-associations-six-biobanks
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing: the role of statistical phasing to identify compound-heterozygous genotypes, the scale across six biobanks (~950k individuals), the rise in bi-allelic genotypes, and key recessive gene–trait associations (HBB, LECT2, ENSG00000267561, PYGM, ODAD1), plus pleiotropy and conditional- transcript topics: Introduction to human knockouts and biobank-scale data; Compound heterozygosity and the need for phasing; Statistical phasing across six biobanks and study scale; Gene-based recessive associations across 41 traits; Notable associations: HBB with heart failure and lipids; LECT2 with height; ENSG00000267561 with height; BTNL9 association with HDL-C and triglycerides
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0<...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:22:57</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[355: Influenza D replicates in the human airway — zoonotic risk]]>
                </title>
                <pubDate>Sun, 03 May 2026 22:44:40 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2453076</guid>
                                    <link>https://basebybase.castos.com/episodes/influenza-d-human-airway-zoonotic-potential</link>
                                <description>
                                            <![CDATA[<p>Sanders CG et al et al., PNAS - Surveillance-derived influenza D virus (IDV) isolates were tested across cell lines, primary airway cultures, and precision-cut lung slices to assess human compatibility. IDV replicated to high titers in human respiratory models while eliciting muted interferon responses, highlighting a potential zoonotic threat and the need for enhanced surveillance. Key terms: influenza D virus, zoonosis, human airway, interferon evasion, surveillance.</p>
<p> Study Highlights:<br />A panel of six genetically diverse IDV isolates replicated efficiently in MDCK and A549 cell lines, primary well-differentiated human bronchial epithelial cultures, porcine airway cultures, and precision-cut lung slices. IDV induced markedly reduced IRF activation and lower IFN-λ1 and ISG expression compared to human influenza A virus, indicating limited innate immune sensing. Pretreatment with IFN-β potently restricted IDV replication, showing the virus is sensitive to an established antiviral state. Active surveillance at US swine exhibitions recovered multiple genetically distinct IDV strains spanning several clades.</p>
<p> Conclusion:<br />IDV readily infects and replicates in human respiratory tissues while limiting innate sensing, supporting intensified surveillance and mechanistic studies to evaluate its zoonotic and pandemic potential.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Efficient replication of influenza D virus in the human airway underscores zoonotic potential</p>
<p> First author:<br />Sanders CG et al</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2530325123</p>
<p> Reference:<br />Sanders CG et al., Efficient replication of influenza D virus in the human airway underscores zoonotic potential. PNAS (2026) Vol. 123 No. 17 e2530325123. doi:10.1073/pnas.2530325123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/influenza-d-human-airway-zoonotic-potential</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the transcript sections describing field surveillance, in vitro and tissue-level replication in human/porcine models, innate immune responses, receptor usage, and zoonotic implications as reported in the canonical article.<br />- transcript topics: Field surveillance and isolation of IDV from exhibition swine; IDV replication in MDCK cells and A549 cells; Primary human and porcine airway epithelial cultures (ALI); Precision-cut lung slices (PCLS) and tissue-level replication; Innate immune sensing and interferon responses (IRF, IFN-λ1, ISGs); Interferon-β pretreatment and antiviral state</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- IDV replicates to high titers in MDCK cells and in immortalized human lung cells (A549).<br />- IDV replicates efficiently in primary well-differentiated human airway epithelial cultures (ALI) and in porcine ALI cultures, with comparable rep...</p>
<h3>Chapters</h3>
<ul><li>(00:00:11) - What Really Happens to Human Vibes?</li><li>(00:02:04) - Disclosing the source of influenza D</li><li>(00:06:08) - Human and pig lung viruses</li><li>(00:12:16) - How influenza spreads like a stealthy virus</li><li>(00:17:35) - Human Influenza: The Secret to Its Spread</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sanders CG et al et al., PNAS - Surveillance-derived influenza D virus (IDV) isolates were tested across cell lines, primary airway cultures, and precision-cut lung slices to assess human compatibility. IDV replicated to high titers in human respiratory models while eliciting muted interferon responses, highlighting a potential zoonotic threat and the need for enhanced surveillance. Key terms: influenza D virus, zoonosis, human airway, interferon evasion, surveillance.
 Study Highlights:A panel of six genetically diverse IDV isolates replicated efficiently in MDCK and A549 cell lines, primary well-differentiated human bronchial epithelial cultures, porcine airway cultures, and precision-cut lung slices. IDV induced markedly reduced IRF activation and lower IFN-λ1 and ISG expression compared to human influenza A virus, indicating limited innate immune sensing. Pretreatment with IFN-β potently restricted IDV replication, showing the virus is sensitive to an established antiviral state. Active surveillance at US swine exhibitions recovered multiple genetically distinct IDV strains spanning several clades.
 Conclusion:IDV readily infects and replicates in human respiratory tissues while limiting innate sensing, supporting intensified surveillance and mechanistic studies to evaluate its zoonotic and pandemic potential.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Efficient replication of influenza D virus in the human airway underscores zoonotic potential
 First author:Sanders CG et al
 Journal:PNAS
 DOI:10.1073/pnas.2530325123
 Reference:Sanders CG et al., Efficient replication of influenza D virus in the human airway underscores zoonotic potential. PNAS (2026) Vol. 123 No. 17 e2530325123. doi:10.1073/pnas.2530325123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/influenza-d-human-airway-zoonotic-potential
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the transcript sections describing field surveillance, in vitro and tissue-level replication in human/porcine models, innate immune responses, receptor usage, and zoonotic implications as reported in the canonical article.- transcript topics: Field surveillance and isolation of IDV from exhibition swine; IDV replication in MDCK cells and A549 cells; Primary human and porcine airway epithelial cultures (ALI); Precision-cut lung slices (PCLS) and tissue-level replication; Innate immune sensing and interferon responses (IRF, IFN-λ1, ISGs); Interferon-β pretreatment and antiviral state
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- IDV replicates to high titers in MDCK cells and in immortalized human lung cells (A549).- IDV replicates efficiently in primary well-differentiated human airway epithelial cultures (ALI) and in porcine ALI cultures, with comparable rep...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[355: Influenza D replicates in the human airway — zoonotic risk]]>
                </itunes:title>
                                    <itunes:episode>355</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sanders CG et al et al., PNAS - Surveillance-derived influenza D virus (IDV) isolates were tested across cell lines, primary airway cultures, and precision-cut lung slices to assess human compatibility. IDV replicated to high titers in human respiratory models while eliciting muted interferon responses, highlighting a potential zoonotic threat and the need for enhanced surveillance. Key terms: influenza D virus, zoonosis, human airway, interferon evasion, surveillance.</p>
<p> Study Highlights:<br />A panel of six genetically diverse IDV isolates replicated efficiently in MDCK and A549 cell lines, primary well-differentiated human bronchial epithelial cultures, porcine airway cultures, and precision-cut lung slices. IDV induced markedly reduced IRF activation and lower IFN-λ1 and ISG expression compared to human influenza A virus, indicating limited innate immune sensing. Pretreatment with IFN-β potently restricted IDV replication, showing the virus is sensitive to an established antiviral state. Active surveillance at US swine exhibitions recovered multiple genetically distinct IDV strains spanning several clades.</p>
<p> Conclusion:<br />IDV readily infects and replicates in human respiratory tissues while limiting innate sensing, supporting intensified surveillance and mechanistic studies to evaluate its zoonotic and pandemic potential.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Efficient replication of influenza D virus in the human airway underscores zoonotic potential</p>
<p> First author:<br />Sanders CG et al</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2530325123</p>
<p> Reference:<br />Sanders CG et al., Efficient replication of influenza D virus in the human airway underscores zoonotic potential. PNAS (2026) Vol. 123 No. 17 e2530325123. doi:10.1073/pnas.2530325123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/influenza-d-human-airway-zoonotic-potential</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the transcript sections describing field surveillance, in vitro and tissue-level replication in human/porcine models, innate immune responses, receptor usage, and zoonotic implications as reported in the canonical article.<br />- transcript topics: Field surveillance and isolation of IDV from exhibition swine; IDV replication in MDCK cells and A549 cells; Primary human and porcine airway epithelial cultures (ALI); Precision-cut lung slices (PCLS) and tissue-level replication; Innate immune sensing and interferon responses (IRF, IFN-λ1, ISGs); Interferon-β pretreatment and antiviral state</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- IDV replicates to high titers in MDCK cells and in immortalized human lung cells (A549).<br />- IDV replicates efficiently in primary well-differentiated human airway epithelial cultures (ALI) and in porcine ALI cultures, with comparable replication kinetics across species.<br />- IDV replicates efficiently in human and swine precision-cut lung slices (PCLS).<br />- IDV elicits markedly weaker interferon signaling and lower IFN-λ1 and ISG induction compared with IAV.<br />- IDV replication is potently restricted by preactivation of antiviral state with IFN-β.<br />- Field surveillance at 422 swine exhibitions recovered three genetically distinct IDV strains from swine isolates (panel of six isolates used in downstream analyses).</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Sanders CG et al et al., PNAS - Surveillance-derived influenza D virus (IDV) isolates were tested across cell lines, primary airway cultures, and precision-cut lung slices to assess human compatibility. IDV replicated to high titers in human respiratory models while eliciting muted interferon responses, highlighting a potential zoonotic threat and the need for enhanced surveillance. Key terms: influenza D virus, zoonosis, human airway, interferon evasion, surveillance.
 Study Highlights:A panel of six genetically diverse IDV isolates replicated efficiently in MDCK and A549 cell lines, primary well-differentiated human bronchial epithelial cultures, porcine airway cultures, and precision-cut lung slices. IDV induced markedly reduced IRF activation and lower IFN-λ1 and ISG expression compared to human influenza A virus, indicating limited innate immune sensing. Pretreatment with IFN-β potently restricted IDV replication, showing the virus is sensitive to an established antiviral state. Active surveillance at US swine exhibitions recovered multiple genetically distinct IDV strains spanning several clades.
 Conclusion:IDV readily infects and replicates in human respiratory tissues while limiting innate sensing, supporting intensified surveillance and mechanistic studies to evaluate its zoonotic and pandemic potential.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Efficient replication of influenza D virus in the human airway underscores zoonotic potential
 First author:Sanders CG et al
 Journal:PNAS
 DOI:10.1073/pnas.2530325123
 Reference:Sanders CG et al., Efficient replication of influenza D virus in the human airway underscores zoonotic potential. PNAS (2026) Vol. 123 No. 17 e2530325123. doi:10.1073/pnas.2530325123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/influenza-d-human-airway-zoonotic-potential
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-05-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the transcript sections describing field surveillance, in vitro and tissue-level replication in human/porcine models, innate immune responses, receptor usage, and zoonotic implications as reported in the canonical article.- transcript topics: Field surveillance and isolation of IDV from exhibition swine; IDV replication in MDCK cells and A549 cells; Primary human and porcine airway epithelial cultures (ALI); Precision-cut lung slices (PCLS) and tissue-level replication; Innate immune sensing and interferon responses (IRF, IFN-λ1, ISGs); Interferon-β pretreatment and antiviral state
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- IDV replicates to high titers in MDCK cells and in immortalized human lung cells (A549).- IDV replicates efficiently in primary well-differentiated human airway epithelial cultures (ALI) and in porcine ALI cultures, with comparable rep...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2453076/c1a-p6xp7-7z8rog7quw1d-fmppwf.png"></itunes:image>
                                                                            <itunes:duration>00:24:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2453076/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[354: How Cohesin Acetylation and ATPase Shape Chromatin Loops and Cohesion]]>
                </title>
                <pubDate>Thu, 30 Apr 2026 06:30:58 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2440790</guid>
                                    <link>https://basebybase.castos.com/episodes/cohesin-acetylation-atpase-loop-architecture</link>
                                <description>
                                            <![CDATA[<p>Costantino L et al., PNAS - Costantino et al. dissect how Eco1-mediated acetylation of Smc3 (K112, K113) and cohesin ATPase activity separately regulate chromatin loop size, loop positioning, and sister chromatid tethering in budding yeast using Micro-C XL, ChIP, and biochemical ATPase assays. Key terms: cohesin, acetylation, ATPase, chromatin loops, sister chromatid cohesion.</p>
<p> Study Highlights:<br />Using a panel of budding yeast mutants, the authors show that acetylation of either Smc3 K112 or K113 is sufficient to produce positioned chromatin loops, while loss of both (Eco1 depletion) leads to expanded, unpositioned loops despite normal cohesin binding. K113 acetylation is required for sister chromatid cohesion (tethering), but cohesion-defective K113R mutants still form positioned loops, indicating looping can occur without tethering. K112 acetyl-mimic reduces loader-stimulated ATPase yet retains wild-type loop architecture, whereas hyper-ATPase mutants convert random loops into more positioned loops. The DE (low-ATPase) mutant produces long, unpositioned loops despite normal cohesin binding and Pds5 recruitment, indicating separable mechanisms downstream of acetylation and Pds5.</p>
<p> Conclusion:<br />Acetylation and ATPase activity separately tune cohesin's functions: acetylation at Smc3 K112/K113 helps position loops and control ATPase responsiveness, K113 acetylation is essential for tethering, and ATPase level biases cohesin toward random versus positioned loops, supporting active loop extrusion as the primary loop-forming mechanism.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cohesin acetylation and ATPase activity control cohesion and loop architecture through distinct mechanisms</p>
<p> First author:<br />Costantino L</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2531218123</p>
<p> Reference:<br />Costantino L, Ye T, Boardman K, Xiang S, Luo J, Mu Y, Ma W, Koshland D. Cohesin acetylation and ATPase activity control cohesion and loop architecture through distinct mechanisms. PNAS. 2026;123(17):e2531218123. doi:10.1073/pnas.2531218123.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cohesin-acetylation-atpase-loop-architecture</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing cohesin functions (loop extrusion and tethering), Eco1-mediated Smc3 acetylation at K112/K113, ATPase regulation by Scc2/Scc4, mutations (K112R, K113R, K112Q, K113Q, DE, TI), Micro-C XL method and CARs, Pds5 involvement, and the active loop extrusion model versus loop capture.<br />- transcript topics: Cohesin functions: loop extrusion and sister chromatid tethering; Smc3 K112/K113 acetylation and Eco1; ATPase regulation by loader Scc2/Scc4 and acetylation; Mutant analyses: K112R, K113R, K112Q, K113Q, ECO1-AID, TI, DE; Micro-C XL methodology and CARs/positioned loops; Pds5 binding and loop regulation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_titl...</p>
<h3>Chapters</h3>
<ul><li>(00:00:20) - Base by Base: The motor of cell division</li><li>(00:05:37) - The chemical engine of cell cohesion</li><li>(00:06:57) - Cohesin's passive loop capture model</li><li>(00:10:22) - How does DNA cohesion work?</li><li>(00:11:30) - Two Marked Tracks</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Costantino L et al., PNAS - Costantino et al. dissect how Eco1-mediated acetylation of Smc3 (K112, K113) and cohesin ATPase activity separately regulate chromatin loop size, loop positioning, and sister chromatid tethering in budding yeast using Micro-C XL, ChIP, and biochemical ATPase assays. Key terms: cohesin, acetylation, ATPase, chromatin loops, sister chromatid cohesion.
 Study Highlights:Using a panel of budding yeast mutants, the authors show that acetylation of either Smc3 K112 or K113 is sufficient to produce positioned chromatin loops, while loss of both (Eco1 depletion) leads to expanded, unpositioned loops despite normal cohesin binding. K113 acetylation is required for sister chromatid cohesion (tethering), but cohesion-defective K113R mutants still form positioned loops, indicating looping can occur without tethering. K112 acetyl-mimic reduces loader-stimulated ATPase yet retains wild-type loop architecture, whereas hyper-ATPase mutants convert random loops into more positioned loops. The DE (low-ATPase) mutant produces long, unpositioned loops despite normal cohesin binding and Pds5 recruitment, indicating separable mechanisms downstream of acetylation and Pds5.
 Conclusion:Acetylation and ATPase activity separately tune cohesin's functions: acetylation at Smc3 K112/K113 helps position loops and control ATPase responsiveness, K113 acetylation is essential for tethering, and ATPase level biases cohesin toward random versus positioned loops, supporting active loop extrusion as the primary loop-forming mechanism.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cohesin acetylation and ATPase activity control cohesion and loop architecture through distinct mechanisms
 First author:Costantino L
 Journal:PNAS
 DOI:10.1073/pnas.2531218123
 Reference:Costantino L, Ye T, Boardman K, Xiang S, Luo J, Mu Y, Ma W, Koshland D. Cohesin acetylation and ATPase activity control cohesion and loop architecture through distinct mechanisms. PNAS. 2026;123(17):e2531218123. doi:10.1073/pnas.2531218123.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cohesin-acetylation-atpase-loop-architecture
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing cohesin functions (loop extrusion and tethering), Eco1-mediated Smc3 acetylation at K112/K113, ATPase regulation by Scc2/Scc4, mutations (K112R, K113R, K112Q, K113Q, DE, TI), Micro-C XL method and CARs, Pds5 involvement, and the active loop extrusion model versus loop capture.- transcript topics: Cohesin functions: loop extrusion and sister chromatid tethering; Smc3 K112/K113 acetylation and Eco1; ATPase regulation by loader Scc2/Scc4 and acetylation; Mutant analyses: K112R, K113R, K112Q, K113Q, ECO1-AID, TI, DE; Micro-C XL methodology and CARs/positioned loops; Pds5 binding and loop regulation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_titl...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[354: How Cohesin Acetylation and ATPase Shape Chromatin Loops and Cohesion]]>
                </itunes:title>
                                    <itunes:episode>354</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Costantino L et al., PNAS - Costantino et al. dissect how Eco1-mediated acetylation of Smc3 (K112, K113) and cohesin ATPase activity separately regulate chromatin loop size, loop positioning, and sister chromatid tethering in budding yeast using Micro-C XL, ChIP, and biochemical ATPase assays. Key terms: cohesin, acetylation, ATPase, chromatin loops, sister chromatid cohesion.</p>
<p> Study Highlights:<br />Using a panel of budding yeast mutants, the authors show that acetylation of either Smc3 K112 or K113 is sufficient to produce positioned chromatin loops, while loss of both (Eco1 depletion) leads to expanded, unpositioned loops despite normal cohesin binding. K113 acetylation is required for sister chromatid cohesion (tethering), but cohesion-defective K113R mutants still form positioned loops, indicating looping can occur without tethering. K112 acetyl-mimic reduces loader-stimulated ATPase yet retains wild-type loop architecture, whereas hyper-ATPase mutants convert random loops into more positioned loops. The DE (low-ATPase) mutant produces long, unpositioned loops despite normal cohesin binding and Pds5 recruitment, indicating separable mechanisms downstream of acetylation and Pds5.</p>
<p> Conclusion:<br />Acetylation and ATPase activity separately tune cohesin's functions: acetylation at Smc3 K112/K113 helps position loops and control ATPase responsiveness, K113 acetylation is essential for tethering, and ATPase level biases cohesin toward random versus positioned loops, supporting active loop extrusion as the primary loop-forming mechanism.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cohesin acetylation and ATPase activity control cohesion and loop architecture through distinct mechanisms</p>
<p> First author:<br />Costantino L</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2531218123</p>
<p> Reference:<br />Costantino L, Ye T, Boardman K, Xiang S, Luo J, Mu Y, Ma W, Koshland D. Cohesin acetylation and ATPase activity control cohesion and loop architecture through distinct mechanisms. PNAS. 2026;123(17):e2531218123. doi:10.1073/pnas.2531218123.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cohesin-acetylation-atpase-loop-architecture</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing cohesin functions (loop extrusion and tethering), Eco1-mediated Smc3 acetylation at K112/K113, ATPase regulation by Scc2/Scc4, mutations (K112R, K113R, K112Q, K113Q, DE, TI), Micro-C XL method and CARs, Pds5 involvement, and the active loop extrusion model versus loop capture.<br />- transcript topics: Cohesin functions: loop extrusion and sister chromatid tethering; Smc3 K112/K113 acetylation and Eco1; ATPase regulation by loader Scc2/Scc4 and acetylation; Mutant analyses: K112R, K113R, K112Q, K113Q, ECO1-AID, TI, DE; Micro-C XL methodology and CARs/positioned loops; Pds5 binding and loop regulation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Either K112 or K113 acetylation suffices to position loops; Eco1 depletion (both acetylations removed) leads to loop expansion and loss of positioned loops<br />- K113 acetylation is essential for sister chromatid cohesion; K113R mutants are cohesion-defective but can form positioned loops<br />- K112 acetylation reduces loader-stimulated ATPase; K112Q partially reduces ATPase; K113Q strongly reduces/abolishes loader stimulation<br />- Hyper-ATPase mutants (TI) reduce random loops and increase positioned loops; DE mutant (low ATPase) yields long, unpositioned loops despite cohesin binding<br />- DE mutant shows cohesin binding and Pds5 recruitment similar to wild type, suggesting defects are downstream of Pds5 recruitment<br />- Three distinct ATPase states are proposed: unacetylated (fully inducible/loop-extruding), K112-acetylated (partially inducible), K113-acetylated (non-inducible/cohesion-promoting)</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Costantino L et al., PNAS - Costantino et al. dissect how Eco1-mediated acetylation of Smc3 (K112, K113) and cohesin ATPase activity separately regulate chromatin loop size, loop positioning, and sister chromatid tethering in budding yeast using Micro-C XL, ChIP, and biochemical ATPase assays. Key terms: cohesin, acetylation, ATPase, chromatin loops, sister chromatid cohesion.
 Study Highlights:Using a panel of budding yeast mutants, the authors show that acetylation of either Smc3 K112 or K113 is sufficient to produce positioned chromatin loops, while loss of both (Eco1 depletion) leads to expanded, unpositioned loops despite normal cohesin binding. K113 acetylation is required for sister chromatid cohesion (tethering), but cohesion-defective K113R mutants still form positioned loops, indicating looping can occur without tethering. K112 acetyl-mimic reduces loader-stimulated ATPase yet retains wild-type loop architecture, whereas hyper-ATPase mutants convert random loops into more positioned loops. The DE (low-ATPase) mutant produces long, unpositioned loops despite normal cohesin binding and Pds5 recruitment, indicating separable mechanisms downstream of acetylation and Pds5.
 Conclusion:Acetylation and ATPase activity separately tune cohesin's functions: acetylation at Smc3 K112/K113 helps position loops and control ATPase responsiveness, K113 acetylation is essential for tethering, and ATPase level biases cohesin toward random versus positioned loops, supporting active loop extrusion as the primary loop-forming mechanism.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cohesin acetylation and ATPase activity control cohesion and loop architecture through distinct mechanisms
 First author:Costantino L
 Journal:PNAS
 DOI:10.1073/pnas.2531218123
 Reference:Costantino L, Ye T, Boardman K, Xiang S, Luo J, Mu Y, Ma W, Koshland D. Cohesin acetylation and ATPase activity control cohesion and loop architecture through distinct mechanisms. PNAS. 2026;123(17):e2531218123. doi:10.1073/pnas.2531218123.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cohesin-acetylation-atpase-loop-architecture
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing cohesin functions (loop extrusion and tethering), Eco1-mediated Smc3 acetylation at K112/K113, ATPase regulation by Scc2/Scc4, mutations (K112R, K113R, K112Q, K113Q, DE, TI), Micro-C XL method and CARs, Pds5 involvement, and the active loop extrusion model versus loop capture.- transcript topics: Cohesin functions: loop extrusion and sister chromatid tethering; Smc3 K112/K113 acetylation and Eco1; ATPase regulation by loader Scc2/Scc4 and acetylation; Mutant analyses: K112R, K113R, K112Q, K113Q, ECO1-AID, TI, DE; Micro-C XL methodology and CARs/positioned loops; Pds5 binding and loop regulation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_titl...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2440790/c1a-p6xp7-z31p0gn8t59o-udmeny.png"></itunes:image>
                                                                            <itunes:duration>00:14:30</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2440790/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[353: Masculinization Reverses Sex Differences in Fertility]]>
                </title>
                <pubDate>Thu, 30 Apr 2026 06:23:57 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2440785</guid>
                                    <link>https://basebybase.castos.com/episodes/353-masculinization-populations-fertility</link>
                                <description>
                                            <![CDATA[<p>Schubert HA et al., PNAS - This episode reviews a global analysis showing that shifts in population sex composition have reversed historical sex gaps in fertility. Using UN World Population Prospects 2024 data and regression and standardization methods, the authors estimate male total fertility rates and project widening differences through 2100 driven by masculinized reproductive-age populations. Key terms: male fertility, sex ratio, total fertility rate, sex-selective abortion, population structure.</p>
<p> Study Highlights:<br />The authors estimate male and female total fertility rates using UN WPP2024 data combined with a regression-based model and demographic standardization. They identify a global crossover in 2024 when female TFRs first exceeded male TFRs and project growing disparities through 2100, especially in East Asia. Key drivers are higher sex ratios at birth, declining mortality, and a narrowing male–female mortality gap, with sex-selective abortion amplifying effects in some countries. The analysis highlights social consequences such as rising male childlessness and offers policy recommendations to mitigate sex imbalances.</p>
<p> Conclusion:<br />Masculinization of reproductive-age populations has flipped historical fertility patterns so that female TFRs now often exceed male TFRs, a gap expected to widen in many regions and to carry social and policy implications related to childlessness and partnership markets.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Masculinization of populations reverses sex differences in fertility</p>
<p> First author:<br />Schubert HA</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2533317123</p>
<p> Reference:<br />Schubert HA, Spoorenberg T, Dudel C, Skirbekk VF. Masculinization of populations reverses sex differences in fertility. Proc Natl Acad Sci U S A. 2026;123:e2533317123. doi:10.1073/pnas.2533317123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/353-masculinization-populations-fertility</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing historical sex differences in fertility, the 2024 crossover, drivers (birth sex ratio, mortality decline, sex-selective abortion), the age-gap Model 3 estimation approach, regional variations (East Asia vs Sub-Saharan Africa), war shocks, and policy implications.<br />- transcript topics: Historical fertility gender gaps and denominator effects; Birth sex ratio and sex-selective abortion; Mortality decline and sex mortality gap; Model 3 age-gap estimation of male TFR; Global crossover year 2024 and 2100 projections; Regional variations: East Asia vs Sub-Saharan Africa</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Global crossover year: 2024<br />- 2100 projection: &lt;10% of countries have higher TFRm<br />- Three drivers of masculinization: birth sex ratio, mortality decline...</p>
<h3>Chapters</h3>
<ul><li>(00:00:12) - The feminization of the population</li><li>(00:05:45) - The demographic structure of human populations</li><li>(00:07:15) - The Real Story Behind Global Fertility</li><li>(00:12:47) - Maternal mortality in the US and Europe</li><li>(00:13:19) - How Does War Affect Male Fertility?</li><li>(00:17:27) - What Actually Happens to Men When They're Out of the Marriage</li><li>(00:21:46) - The Future of Families Is Shaping</li><li>(00:23:42) - A Place to Be After the Crossover</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Schubert HA et al., PNAS - This episode reviews a global analysis showing that shifts in population sex composition have reversed historical sex gaps in fertility. Using UN World Population Prospects 2024 data and regression and standardization methods, the authors estimate male total fertility rates and project widening differences through 2100 driven by masculinized reproductive-age populations. Key terms: male fertility, sex ratio, total fertility rate, sex-selective abortion, population structure.
 Study Highlights:The authors estimate male and female total fertility rates using UN WPP2024 data combined with a regression-based model and demographic standardization. They identify a global crossover in 2024 when female TFRs first exceeded male TFRs and project growing disparities through 2100, especially in East Asia. Key drivers are higher sex ratios at birth, declining mortality, and a narrowing male–female mortality gap, with sex-selective abortion amplifying effects in some countries. The analysis highlights social consequences such as rising male childlessness and offers policy recommendations to mitigate sex imbalances.
 Conclusion:Masculinization of reproductive-age populations has flipped historical fertility patterns so that female TFRs now often exceed male TFRs, a gap expected to widen in many regions and to carry social and policy implications related to childlessness and partnership markets.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Masculinization of populations reverses sex differences in fertility
 First author:Schubert HA
 Journal:PNAS
 DOI:10.1073/pnas.2533317123
 Reference:Schubert HA, Spoorenberg T, Dudel C, Skirbekk VF. Masculinization of populations reverses sex differences in fertility. Proc Natl Acad Sci U S A. 2026;123:e2533317123. doi:10.1073/pnas.2533317123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/353-masculinization-populations-fertility
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing historical sex differences in fertility, the 2024 crossover, drivers (birth sex ratio, mortality decline, sex-selective abortion), the age-gap Model 3 estimation approach, regional variations (East Asia vs Sub-Saharan Africa), war shocks, and policy implications.- transcript topics: Historical fertility gender gaps and denominator effects; Birth sex ratio and sex-selective abortion; Mortality decline and sex mortality gap; Model 3 age-gap estimation of male TFR; Global crossover year 2024 and 2100 projections; Regional variations: East Asia vs Sub-Saharan Africa
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Global crossover year: 2024- 2100 projection: <10% of countries have higher TFRm- Three drivers of masculinization: birth sex ratio, mortality decline...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[353: Masculinization Reverses Sex Differences in Fertility]]>
                </itunes:title>
                                    <itunes:episode>353</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Schubert HA et al., PNAS - This episode reviews a global analysis showing that shifts in population sex composition have reversed historical sex gaps in fertility. Using UN World Population Prospects 2024 data and regression and standardization methods, the authors estimate male total fertility rates and project widening differences through 2100 driven by masculinized reproductive-age populations. Key terms: male fertility, sex ratio, total fertility rate, sex-selective abortion, population structure.</p>
<p> Study Highlights:<br />The authors estimate male and female total fertility rates using UN WPP2024 data combined with a regression-based model and demographic standardization. They identify a global crossover in 2024 when female TFRs first exceeded male TFRs and project growing disparities through 2100, especially in East Asia. Key drivers are higher sex ratios at birth, declining mortality, and a narrowing male–female mortality gap, with sex-selective abortion amplifying effects in some countries. The analysis highlights social consequences such as rising male childlessness and offers policy recommendations to mitigate sex imbalances.</p>
<p> Conclusion:<br />Masculinization of reproductive-age populations has flipped historical fertility patterns so that female TFRs now often exceed male TFRs, a gap expected to widen in many regions and to carry social and policy implications related to childlessness and partnership markets.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Masculinization of populations reverses sex differences in fertility</p>
<p> First author:<br />Schubert HA</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2533317123</p>
<p> Reference:<br />Schubert HA, Spoorenberg T, Dudel C, Skirbekk VF. Masculinization of populations reverses sex differences in fertility. Proc Natl Acad Sci U S A. 2026;123:e2533317123. doi:10.1073/pnas.2533317123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/353-masculinization-populations-fertility</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing historical sex differences in fertility, the 2024 crossover, drivers (birth sex ratio, mortality decline, sex-selective abortion), the age-gap Model 3 estimation approach, regional variations (East Asia vs Sub-Saharan Africa), war shocks, and policy implications.<br />- transcript topics: Historical fertility gender gaps and denominator effects; Birth sex ratio and sex-selective abortion; Mortality decline and sex mortality gap; Model 3 age-gap estimation of male TFR; Global crossover year 2024 and 2100 projections; Regional variations: East Asia vs Sub-Saharan Africa</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Global crossover year: 2024<br />- 2100 projection: &lt;10% of countries have higher TFRm<br />- Three drivers of masculinization: birth sex ratio, mortality declines, sex-selective abortion<br />- Model 3 (age-gap) best fits male fertility estimation<br />- Sub-Saharan Africa not crossing before 2100 due to maternal mortality<br />- War mortality shocks (Guatemala, Rwanda) have lasting demographic effects</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Schubert HA et al., PNAS - This episode reviews a global analysis showing that shifts in population sex composition have reversed historical sex gaps in fertility. Using UN World Population Prospects 2024 data and regression and standardization methods, the authors estimate male total fertility rates and project widening differences through 2100 driven by masculinized reproductive-age populations. Key terms: male fertility, sex ratio, total fertility rate, sex-selective abortion, population structure.
 Study Highlights:The authors estimate male and female total fertility rates using UN WPP2024 data combined with a regression-based model and demographic standardization. They identify a global crossover in 2024 when female TFRs first exceeded male TFRs and project growing disparities through 2100, especially in East Asia. Key drivers are higher sex ratios at birth, declining mortality, and a narrowing male–female mortality gap, with sex-selective abortion amplifying effects in some countries. The analysis highlights social consequences such as rising male childlessness and offers policy recommendations to mitigate sex imbalances.
 Conclusion:Masculinization of reproductive-age populations has flipped historical fertility patterns so that female TFRs now often exceed male TFRs, a gap expected to widen in many regions and to carry social and policy implications related to childlessness and partnership markets.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Masculinization of populations reverses sex differences in fertility
 First author:Schubert HA
 Journal:PNAS
 DOI:10.1073/pnas.2533317123
 Reference:Schubert HA, Spoorenberg T, Dudel C, Skirbekk VF. Masculinization of populations reverses sex differences in fertility. Proc Natl Acad Sci U S A. 2026;123:e2533317123. doi:10.1073/pnas.2533317123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/353-masculinization-populations-fertility
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing historical sex differences in fertility, the 2024 crossover, drivers (birth sex ratio, mortality decline, sex-selective abortion), the age-gap Model 3 estimation approach, regional variations (East Asia vs Sub-Saharan Africa), war shocks, and policy implications.- transcript topics: Historical fertility gender gaps and denominator effects; Birth sex ratio and sex-selective abortion; Mortality decline and sex mortality gap; Model 3 age-gap estimation of male TFR; Global crossover year 2024 and 2100 projections; Regional variations: East Asia vs Sub-Saharan Africa
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Global crossover year: 2024- 2100 projection: <10% of countries have higher TFRm- Three drivers of masculinization: birth sex ratio, mortality decline...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:27:25</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[352: Interspecies control of E. coli growth in human gut microbiomes]]>
                </title>
                <pubDate>Mon, 27 Apr 2026 06:29:21 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2437918</guid>
                                    <link>https://basebybase.castos.com/episodes/interspecies-ecoli-growth-microbiome</link>
                                <description>
                                            <![CDATA[<p>Boumasmoud M et al., PNAS - Reciprocal transplant experiments in anaerobic microcosms show that resident human gut microbiome context alters growth of introduced Escherichia coli strains and that microbially mediated acidification, driven by a Clostridium butyricum strain, can reproducibly suppress E. coli and reshape community fermentation profiles. Key terms: gut microbiome, Escherichia coli, interspecies interaction, acidification, Clostridium butyricum.</p>
<p> Study Highlights:<br />Using six human stool-derived microbiome samples and six resident E. coli isolates in replicated anaerobic microcosms, the authors measured strain-level and species-level growth across 36 strain-by-microbiome combinations. Growth performance of E. coli strains varied with microbiome context and was constrained by intraspecific competition setting a finite E. coli abundance per microbiome. One microbiome (M6) acidified during cultivation, inhibiting E. coli growth; a Clostridium butyricum isolate from M6 reproduced this acidification when transplanted into other samples. Addition of C. butyricum lowered pH, increased butyrate and decreased acetate/lactate, suppressed E. coli and altered overall community composition.</p>
<p> Conclusion:<br />Interindividual gut-microbiome variation causes variable ecological interactions that affect colonization by incoming strains, and a single transferable taxon (C. butyricum) can act as an ecological control point by driving acidification and reshaping community growth and metabolites.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Interspecies interaction controls Escherichia coli growth in human gut microbiome samples</p>
<p> First author:<br />Boumasmoud M</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2527793123</p>
<p> Reference:<br />Boumasmoud M., León-Sampedro R., Beusch V., Benza F., Arnoldini M., Hall A.R. Interspecies interaction controls Escherichia coli growth in human gut microbiome samples. PNAS. 2026;123(17):e2527793123. doi:10.1073/pnas.2527793123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/interspecies-ecoli-growth-microbiome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's discussion of experimental design, key results (strain performance variation, acidification, keystone C. butyricum), and ecological implications; compared to the original article's reported methods, results, and interpretations.<br />- transcript topics: Experimental design: reciprocal transplant in anaerobic microcosms (M2–M7) with six E. coli strains; Strain-level and species-level growth variation across microbiome samples; Intraspecific competition and microbiome-specific finite E. coli abundance; Acidification as a driver of growth suppression; pH measurements; Clostridium butyricum as a keystone species driving acidification and community shifts; Transplantation of C. butyricum into other microbiomes; effects on butyrate, acetate, lactate</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Aud...</p>
<h3>Chapters</h3>
<ul><li>(00:00:13) - How the gut microbiome controls who gets to live there</li><li>(00:05:47) - E. Coli SuperStands: Strains S3 and</li><li>(00:09:41) - The Secret to E. Coli Fighting in M6</li><li>(00:15:37) - The single microbe can profoundly alter the microbiome</li><li>(00:21:32) - The master switch of the gut microbiome</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Boumasmoud M et al., PNAS - Reciprocal transplant experiments in anaerobic microcosms show that resident human gut microbiome context alters growth of introduced Escherichia coli strains and that microbially mediated acidification, driven by a Clostridium butyricum strain, can reproducibly suppress E. coli and reshape community fermentation profiles. Key terms: gut microbiome, Escherichia coli, interspecies interaction, acidification, Clostridium butyricum.
 Study Highlights:Using six human stool-derived microbiome samples and six resident E. coli isolates in replicated anaerobic microcosms, the authors measured strain-level and species-level growth across 36 strain-by-microbiome combinations. Growth performance of E. coli strains varied with microbiome context and was constrained by intraspecific competition setting a finite E. coli abundance per microbiome. One microbiome (M6) acidified during cultivation, inhibiting E. coli growth; a Clostridium butyricum isolate from M6 reproduced this acidification when transplanted into other samples. Addition of C. butyricum lowered pH, increased butyrate and decreased acetate/lactate, suppressed E. coli and altered overall community composition.
 Conclusion:Interindividual gut-microbiome variation causes variable ecological interactions that affect colonization by incoming strains, and a single transferable taxon (C. butyricum) can act as an ecological control point by driving acidification and reshaping community growth and metabolites.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Interspecies interaction controls Escherichia coli growth in human gut microbiome samples
 First author:Boumasmoud M
 Journal:PNAS
 DOI:10.1073/pnas.2527793123
 Reference:Boumasmoud M., León-Sampedro R., Beusch V., Benza F., Arnoldini M., Hall A.R. Interspecies interaction controls Escherichia coli growth in human gut microbiome samples. PNAS. 2026;123(17):e2527793123. doi:10.1073/pnas.2527793123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/interspecies-ecoli-growth-microbiome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's discussion of experimental design, key results (strain performance variation, acidification, keystone C. butyricum), and ecological implications; compared to the original article's reported methods, results, and interpretations.- transcript topics: Experimental design: reciprocal transplant in anaerobic microcosms (M2–M7) with six E. coli strains; Strain-level and species-level growth variation across microbiome samples; Intraspecific competition and microbiome-specific finite E. coli abundance; Acidification as a driver of growth suppression; pH measurements; Clostridium butyricum as a keystone species driving acidification and community shifts; Transplantation of C. butyricum into other microbiomes; effects on butyrate, acetate, lactate
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Aud...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[352: Interspecies control of E. coli growth in human gut microbiomes]]>
                </itunes:title>
                                    <itunes:episode>352</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Boumasmoud M et al., PNAS - Reciprocal transplant experiments in anaerobic microcosms show that resident human gut microbiome context alters growth of introduced Escherichia coli strains and that microbially mediated acidification, driven by a Clostridium butyricum strain, can reproducibly suppress E. coli and reshape community fermentation profiles. Key terms: gut microbiome, Escherichia coli, interspecies interaction, acidification, Clostridium butyricum.</p>
<p> Study Highlights:<br />Using six human stool-derived microbiome samples and six resident E. coli isolates in replicated anaerobic microcosms, the authors measured strain-level and species-level growth across 36 strain-by-microbiome combinations. Growth performance of E. coli strains varied with microbiome context and was constrained by intraspecific competition setting a finite E. coli abundance per microbiome. One microbiome (M6) acidified during cultivation, inhibiting E. coli growth; a Clostridium butyricum isolate from M6 reproduced this acidification when transplanted into other samples. Addition of C. butyricum lowered pH, increased butyrate and decreased acetate/lactate, suppressed E. coli and altered overall community composition.</p>
<p> Conclusion:<br />Interindividual gut-microbiome variation causes variable ecological interactions that affect colonization by incoming strains, and a single transferable taxon (C. butyricum) can act as an ecological control point by driving acidification and reshaping community growth and metabolites.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Interspecies interaction controls Escherichia coli growth in human gut microbiome samples</p>
<p> First author:<br />Boumasmoud M</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2527793123</p>
<p> Reference:<br />Boumasmoud M., León-Sampedro R., Beusch V., Benza F., Arnoldini M., Hall A.R. Interspecies interaction controls Escherichia coli growth in human gut microbiome samples. PNAS. 2026;123(17):e2527793123. doi:10.1073/pnas.2527793123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/interspecies-ecoli-growth-microbiome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's discussion of experimental design, key results (strain performance variation, acidification, keystone C. butyricum), and ecological implications; compared to the original article's reported methods, results, and interpretations.<br />- transcript topics: Experimental design: reciprocal transplant in anaerobic microcosms (M2–M7) with six E. coli strains; Strain-level and species-level growth variation across microbiome samples; Intraspecific competition and microbiome-specific finite E. coli abundance; Acidification as a driver of growth suppression; pH measurements; Clostridium butyricum as a keystone species driving acidification and community shifts; Transplantation of C. butyricum into other microbiomes; effects on butyrate, acetate, lactate</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Six donor microbiome samples (M2–M7) and six focal E. coli strains (S2–S7) tested in 36 strain–microbiome combinations; growth varied by microbiome context<br />- No average home-field adaptation detected; rank order of strains largely consistent across microbiomes with S3 and S7 often most abundant<br />- Microbiome sample M6 acidified during incubation (pH ~5.4) and suppressed E. coli growth; neutralization restored growth<br />- A Clostridium butyricum strain isolated from M6 acidified medium and, when transplanted into other microbiomes, reduced pH and altered fermentation products (increased butyrate, de<br />- Butyricum transplantation reduced E. coli and total bacterial growth and reshaped community composition<br />- Butyrate production increased by 14.8 mM on average after C. butyricum inoculation; acetate decreased by ~8.08 mM and lactate by ~6.45 mM</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Boumasmoud M et al., PNAS - Reciprocal transplant experiments in anaerobic microcosms show that resident human gut microbiome context alters growth of introduced Escherichia coli strains and that microbially mediated acidification, driven by a Clostridium butyricum strain, can reproducibly suppress E. coli and reshape community fermentation profiles. Key terms: gut microbiome, Escherichia coli, interspecies interaction, acidification, Clostridium butyricum.
 Study Highlights:Using six human stool-derived microbiome samples and six resident E. coli isolates in replicated anaerobic microcosms, the authors measured strain-level and species-level growth across 36 strain-by-microbiome combinations. Growth performance of E. coli strains varied with microbiome context and was constrained by intraspecific competition setting a finite E. coli abundance per microbiome. One microbiome (M6) acidified during cultivation, inhibiting E. coli growth; a Clostridium butyricum isolate from M6 reproduced this acidification when transplanted into other samples. Addition of C. butyricum lowered pH, increased butyrate and decreased acetate/lactate, suppressed E. coli and altered overall community composition.
 Conclusion:Interindividual gut-microbiome variation causes variable ecological interactions that affect colonization by incoming strains, and a single transferable taxon (C. butyricum) can act as an ecological control point by driving acidification and reshaping community growth and metabolites.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Interspecies interaction controls Escherichia coli growth in human gut microbiome samples
 First author:Boumasmoud M
 Journal:PNAS
 DOI:10.1073/pnas.2527793123
 Reference:Boumasmoud M., León-Sampedro R., Beusch V., Benza F., Arnoldini M., Hall A.R. Interspecies interaction controls Escherichia coli growth in human gut microbiome samples. PNAS. 2026;123(17):e2527793123. doi:10.1073/pnas.2527793123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/interspecies-ecoli-growth-microbiome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's discussion of experimental design, key results (strain performance variation, acidification, keystone C. butyricum), and ecological implications; compared to the original article's reported methods, results, and interpretations.- transcript topics: Experimental design: reciprocal transplant in anaerobic microcosms (M2–M7) with six E. coli strains; Strain-level and species-level growth variation across microbiome samples; Intraspecific competition and microbiome-specific finite E. coli abundance; Acidification as a driver of growth suppression; pH measurements; Clostridium butyricum as a keystone species driving acidification and community shifts; Transplantation of C. butyricum into other microbiomes; effects on butyrate, acetate, lactate
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Aud...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2437918/c1a-p6xp7-qdpo8jp6fvng-nsa3wq.png"></itunes:image>
                                                                            <itunes:duration>00:25:22</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2437918/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[351: When Selection Survives Admixture: Hard Sweeps in Ancient Eurasians]]>
                </title>
                <pubDate>Sun, 26 Apr 2026 10:58:26 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2433412</guid>
                                    <link>https://basebybase.castos.com/episodes/hard-sweeps-admixture-ancient-eurasians</link>
                                <description>
                                            <![CDATA[<p>Harris M et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines a PNAS study that uses a domain-adaptive neural network to detect and classify selective sweeps in over 800 ancient and modern Eurasian genomes spanning ~7,000 years. The work recovers known targets (HLA, LCT, OCA2/HERC2, KITLG), reports 32 novel ancient sweep candidates, finds hard sweeps predominate, and shows 14 sweeps persisted across a major admixture event, highlighting resilience of certain adaptations. Key terms: ancient DNA, selective sweeps, domain-adaptive neural network, hard sweeps, admixture.</p>
<p> Study Highlights:<br />The authors trained a domain-adaptive neural network on simulated and ancient DNA to distinguish hard sweeps, soft sweeps, and neutrality across 708 ancient and 99 modern Eurasian genomes. The DANN outperformed standard CNNs under demographic and missing-data misspecification and detected 48 ancient sweeps, including 16 overlapping prior reports and 32 novel candidates. All identified sweeps were classified as hard and, after accounting for misclassification rates, the majority remain best explained by hard sweeps. Fourteen sweeps at genes involved in neuronal, reproductive, pigmentation, and signaling functions persisted across a major admixture event, often retaining the same high-frequency haplotype.</p>
<p> Conclusion:<br />Domain-adaptive deep learning improves detection of selective sweeps in degraded ancient genomes; hard sweeps were the dominant mode of adaptation in these ancient Eurasian samples and several selective events persisted despite strong admixture, pointing to sustained functional importance of particular loci.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The persistence and loss of hard selective sweeps amid admixture in ancient Eurasians</p>
<p> First author:<br />Harris M</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2528672123</p>
<p> Reference:<br />Harris M., Mo Z., Siepel A., Garud N.R. The persistence and loss of hard selective sweeps amid admixture in ancient Eurasians. Proc. Natl. Acad. Sci. U.S.A. 2026;123(17):e2528672123. doi:10.1073/pnas.2528672123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/hard-sweeps-admixture-ancient-eurasians</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-26.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the DANN method (domain adaptation, GRL, haplotype image inputs), the major results (counts of ancient/modern sweeps, hard sweeps, persistence across admixture), and the highlighted loci (HLA, LCT, OCA2/HERC2, KITLG), plus the discussion of admixture timing (~4.5 kya) and impl<br />- transcript topics: Domain-adaptive neural networks (DANN) and gradient reversal layer; Ancient DNA data quality and missing data; Hard vs soft sweeps definitions; Sweep detection results (ancient vs modern) and total counts; Admixture event around 4.5 kya and sweep persistence; Loci of interest: HLA, LCT, OCA2/HERC2, KITLG</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks pass...</p>
<h3>Chapters</h3>
<ul><li>(00:00:21) - How Your DNA Is a Survival Journal</li><li>(00:01:20) - The Hidden Story of Human Evolution</li><li>(00:07:37) - The AI Classifies Ancient Selection Swops</li><li>(00:14:27) - How European genetic diversity survived the Bronze Age</li><li>(00:18:42) - The Hidden History of Human Evolution</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Harris M et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines a PNAS study that uses a domain-adaptive neural network to detect and classify selective sweeps in over 800 ancient and modern Eurasian genomes spanning ~7,000 years. The work recovers known targets (HLA, LCT, OCA2/HERC2, KITLG), reports 32 novel ancient sweep candidates, finds hard sweeps predominate, and shows 14 sweeps persisted across a major admixture event, highlighting resilience of certain adaptations. Key terms: ancient DNA, selective sweeps, domain-adaptive neural network, hard sweeps, admixture.
 Study Highlights:The authors trained a domain-adaptive neural network on simulated and ancient DNA to distinguish hard sweeps, soft sweeps, and neutrality across 708 ancient and 99 modern Eurasian genomes. The DANN outperformed standard CNNs under demographic and missing-data misspecification and detected 48 ancient sweeps, including 16 overlapping prior reports and 32 novel candidates. All identified sweeps were classified as hard and, after accounting for misclassification rates, the majority remain best explained by hard sweeps. Fourteen sweeps at genes involved in neuronal, reproductive, pigmentation, and signaling functions persisted across a major admixture event, often retaining the same high-frequency haplotype.
 Conclusion:Domain-adaptive deep learning improves detection of selective sweeps in degraded ancient genomes; hard sweeps were the dominant mode of adaptation in these ancient Eurasian samples and several selective events persisted despite strong admixture, pointing to sustained functional importance of particular loci.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The persistence and loss of hard selective sweeps amid admixture in ancient Eurasians
 First author:Harris M
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2528672123
 Reference:Harris M., Mo Z., Siepel A., Garud N.R. The persistence and loss of hard selective sweeps amid admixture in ancient Eurasians. Proc. Natl. Acad. Sci. U.S.A. 2026;123(17):e2528672123. doi:10.1073/pnas.2528672123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/hard-sweeps-admixture-ancient-eurasians
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-26.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the DANN method (domain adaptation, GRL, haplotype image inputs), the major results (counts of ancient/modern sweeps, hard sweeps, persistence across admixture), and the highlighted loci (HLA, LCT, OCA2/HERC2, KITLG), plus the discussion of admixture timing (~4.5 kya) and impl- transcript topics: Domain-adaptive neural networks (DANN) and gradient reversal layer; Ancient DNA data quality and missing data; Hard vs soft sweeps definitions; Sweep detection results (ancient vs modern) and total counts; Admixture event around 4.5 kya and sweep persistence; Loci of interest: HLA, LCT, OCA2/HERC2, KITLG
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks pass...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[351: When Selection Survives Admixture: Hard Sweeps in Ancient Eurasians]]>
                </itunes:title>
                                    <itunes:episode>351</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Harris M et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines a PNAS study that uses a domain-adaptive neural network to detect and classify selective sweeps in over 800 ancient and modern Eurasian genomes spanning ~7,000 years. The work recovers known targets (HLA, LCT, OCA2/HERC2, KITLG), reports 32 novel ancient sweep candidates, finds hard sweeps predominate, and shows 14 sweeps persisted across a major admixture event, highlighting resilience of certain adaptations. Key terms: ancient DNA, selective sweeps, domain-adaptive neural network, hard sweeps, admixture.</p>
<p> Study Highlights:<br />The authors trained a domain-adaptive neural network on simulated and ancient DNA to distinguish hard sweeps, soft sweeps, and neutrality across 708 ancient and 99 modern Eurasian genomes. The DANN outperformed standard CNNs under demographic and missing-data misspecification and detected 48 ancient sweeps, including 16 overlapping prior reports and 32 novel candidates. All identified sweeps were classified as hard and, after accounting for misclassification rates, the majority remain best explained by hard sweeps. Fourteen sweeps at genes involved in neuronal, reproductive, pigmentation, and signaling functions persisted across a major admixture event, often retaining the same high-frequency haplotype.</p>
<p> Conclusion:<br />Domain-adaptive deep learning improves detection of selective sweeps in degraded ancient genomes; hard sweeps were the dominant mode of adaptation in these ancient Eurasian samples and several selective events persisted despite strong admixture, pointing to sustained functional importance of particular loci.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The persistence and loss of hard selective sweeps amid admixture in ancient Eurasians</p>
<p> First author:<br />Harris M</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2528672123</p>
<p> Reference:<br />Harris M., Mo Z., Siepel A., Garud N.R. The persistence and loss of hard selective sweeps amid admixture in ancient Eurasians. Proc. Natl. Acad. Sci. U.S.A. 2026;123(17):e2528672123. doi:10.1073/pnas.2528672123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/hard-sweeps-admixture-ancient-eurasians</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-26.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the DANN method (domain adaptation, GRL, haplotype image inputs), the major results (counts of ancient/modern sweeps, hard sweeps, persistence across admixture), and the highlighted loci (HLA, LCT, OCA2/HERC2, KITLG), plus the discussion of admixture timing (~4.5 kya) and impl<br />- transcript topics: Domain-adaptive neural networks (DANN) and gradient reversal layer; Ancient DNA data quality and missing data; Hard vs soft sweeps definitions; Sweep detection results (ancient vs modern) and total counts; Admixture event around 4.5 kya and sweep persistence; Loci of interest: HLA, LCT, OCA2/HERC2, KITLG</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 708 ancient Eurasian genomes analyzed; 99 modern European genomes used for comparison<br />- Ancient sweeps detected: 48; modern sweeps detected: 28; total across datasets: 58<br />- All identified sweeps classified as hard sweeps; estimated hard sweeps exceed soft sweeps (80+%)<br />- 14 sweeps persisted across a major admixture event (~4.5 thousand years ago)<br />- Loci repeatedly highlighted among sweeps include HLA, LCT, OCA2/HERC2, KITLG</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Harris M et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines a PNAS study that uses a domain-adaptive neural network to detect and classify selective sweeps in over 800 ancient and modern Eurasian genomes spanning ~7,000 years. The work recovers known targets (HLA, LCT, OCA2/HERC2, KITLG), reports 32 novel ancient sweep candidates, finds hard sweeps predominate, and shows 14 sweeps persisted across a major admixture event, highlighting resilience of certain adaptations. Key terms: ancient DNA, selective sweeps, domain-adaptive neural network, hard sweeps, admixture.
 Study Highlights:The authors trained a domain-adaptive neural network on simulated and ancient DNA to distinguish hard sweeps, soft sweeps, and neutrality across 708 ancient and 99 modern Eurasian genomes. The DANN outperformed standard CNNs under demographic and missing-data misspecification and detected 48 ancient sweeps, including 16 overlapping prior reports and 32 novel candidates. All identified sweeps were classified as hard and, after accounting for misclassification rates, the majority remain best explained by hard sweeps. Fourteen sweeps at genes involved in neuronal, reproductive, pigmentation, and signaling functions persisted across a major admixture event, often retaining the same high-frequency haplotype.
 Conclusion:Domain-adaptive deep learning improves detection of selective sweeps in degraded ancient genomes; hard sweeps were the dominant mode of adaptation in these ancient Eurasian samples and several selective events persisted despite strong admixture, pointing to sustained functional importance of particular loci.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The persistence and loss of hard selective sweeps amid admixture in ancient Eurasians
 First author:Harris M
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2528672123
 Reference:Harris M., Mo Z., Siepel A., Garud N.R. The persistence and loss of hard selective sweeps amid admixture in ancient Eurasians. Proc. Natl. Acad. Sci. U.S.A. 2026;123(17):e2528672123. doi:10.1073/pnas.2528672123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/hard-sweeps-admixture-ancient-eurasians
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-26.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the DANN method (domain adaptation, GRL, haplotype image inputs), the major results (counts of ancient/modern sweeps, hard sweeps, persistence across admixture), and the highlighted loci (HLA, LCT, OCA2/HERC2, KITLG), plus the discussion of admixture timing (~4.5 kya) and impl- transcript topics: Domain-adaptive neural networks (DANN) and gradient reversal layer; Ancient DNA data quality and missing data; Hard vs soft sweeps definitions; Sweep detection results (ancient vs modern) and total counts; Admixture event around 4.5 kya and sweep persistence; Loci of interest: HLA, LCT, OCA2/HERC2, KITLG
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks pass...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:24:52</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2433412/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[350: OPA1 A8S in Rhesus Macaques Models Autosomal Dominant Optic Atrophy]]>
                </title>
                <pubDate>Sat, 25 Apr 2026 19:21:26 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2433054</guid>
                                    <link>https://basebybase.castos.com/episodes/350-opa1-rhesus-adoa</link>
                                <description>
                                            <![CDATA[<p>Jaggers TN et al et al., PNAS - A spontaneous OPA1 A8S missense mutation in rhesus macaques produces retinal ganglion cell loss, RNFL thinning, optic nerve atrophy, OPA1 mislocalization, and mitochondrial abnormalities, creating a nonhuman primate model that mirrors human autosomal dominant optic atrophy. Key terms: OPA1, autosomal dominant optic atrophy, rhesus macaque, retinal ganglion cell, mitochondria.</p>
<p> Study Highlights:<br />The authors identified an OPA1 NM_015560.2:c.22G&gt;T (p.ala8ser, A8S) variant segregating dominantly in a rhesus colony. Heterozygous macaques showed significant peripapillary RNFL thinning, temporal optic nerve head pallor, and reduced PERG amplitudes consistent with RGC dysfunction. Histology and TEM revealed RGC loss, reduced axonal mitochondrial density, dysmorphic mitochondria, myelin disruption, and OPA1 mislocalization in RNFL axons. The model displays phenotypic variability similar to human ADOA and supports use for preclinical testing of mitochondrial- and gene-targeted therapies.</p>
<p> Conclusion:<br />A spontaneous OPA1 A8S mutation in rhesus macaques recapitulates key structural, functional, and ultrastructural features of human ADOA, providing a translational NHP model for testing therapies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Rhesus macaques with an OPA1 mutation demonstrate features of autosomal dominant optic atrophy</p>
<p> First author:<br />Jaggers TN et al</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2509165123</p>
<p> Reference:<br />Jaggers TN et al., Rhesus macaques with an OPA1 mutation demonstrate features of autosomal dominant optic atrophy. PNAS. 2026;123:e2509165123. https://doi.org/10.1073/pnas.2509165123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/350-opa1-rhesus-adoa</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript sections describing the OPA1 A8S mutation, heterozygous phenotype (RNFL thinning, ONH pallor, PERG deficits), ultrastructural mitochondrial defects and OPA1 mislocalization, homozygous cases, and translational therapy implications.<br />- transcript topics: OPA1 A8S mutation and spontaneous nonhuman primate model; Autosomal dominant optic atrophy (ADOA) in rhesus macaques; RNFL thinning and optic nerve head pallor; PERG dysfunction in OPA1 heterozygotes; Mitochondrial abnormalities and OPA1 mislocalization; TEM findings: dysmorphic mitochondria and axon loss</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- OPA1 A8S missense mutation identified in rhesus macaques in CNPRC colony<br />- Mutation is dominant and linked to autosomal dominant inheritance pattern<br />- Heterozygotes show RNFL thinning and temporal ONH pallor; PERG amplitudes reduced<br />- OPA1 mislocalization and reduced axonal mitochondrial density observed in retina<br />- Homozygous OPA1 macaques identified; survi...</p>
<h3>Chapters</h3>
<ul><li>(00:00:12) - The secret to a cure for blindness</li><li>(00:05:27) - Human blindness: The mutation that causes</li><li>(00:11:33) - Macaque blindness: algorithmic analysis fails</li><li>(00:17:47) - These macaques have suddenly cleared the pipeline for a sight cure</li><li>(00:20:37) - Bring the Brass Lights Back to the Ear</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Jaggers TN et al et al., PNAS - A spontaneous OPA1 A8S missense mutation in rhesus macaques produces retinal ganglion cell loss, RNFL thinning, optic nerve atrophy, OPA1 mislocalization, and mitochondrial abnormalities, creating a nonhuman primate model that mirrors human autosomal dominant optic atrophy. Key terms: OPA1, autosomal dominant optic atrophy, rhesus macaque, retinal ganglion cell, mitochondria.
 Study Highlights:The authors identified an OPA1 NM_015560.2:c.22G>T (p.ala8ser, A8S) variant segregating dominantly in a rhesus colony. Heterozygous macaques showed significant peripapillary RNFL thinning, temporal optic nerve head pallor, and reduced PERG amplitudes consistent with RGC dysfunction. Histology and TEM revealed RGC loss, reduced axonal mitochondrial density, dysmorphic mitochondria, myelin disruption, and OPA1 mislocalization in RNFL axons. The model displays phenotypic variability similar to human ADOA and supports use for preclinical testing of mitochondrial- and gene-targeted therapies.
 Conclusion:A spontaneous OPA1 A8S mutation in rhesus macaques recapitulates key structural, functional, and ultrastructural features of human ADOA, providing a translational NHP model for testing therapies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Rhesus macaques with an OPA1 mutation demonstrate features of autosomal dominant optic atrophy
 First author:Jaggers TN et al
 Journal:PNAS
 DOI:10.1073/pnas.2509165123
 Reference:Jaggers TN et al., Rhesus macaques with an OPA1 mutation demonstrate features of autosomal dominant optic atrophy. PNAS. 2026;123:e2509165123. https://doi.org/10.1073/pnas.2509165123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/350-opa1-rhesus-adoa
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript sections describing the OPA1 A8S mutation, heterozygous phenotype (RNFL thinning, ONH pallor, PERG deficits), ultrastructural mitochondrial defects and OPA1 mislocalization, homozygous cases, and translational therapy implications.- transcript topics: OPA1 A8S mutation and spontaneous nonhuman primate model; Autosomal dominant optic atrophy (ADOA) in rhesus macaques; RNFL thinning and optic nerve head pallor; PERG dysfunction in OPA1 heterozygotes; Mitochondrial abnormalities and OPA1 mislocalization; TEM findings: dysmorphic mitochondria and axon loss
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- OPA1 A8S missense mutation identified in rhesus macaques in CNPRC colony- Mutation is dominant and linked to autosomal dominant inheritance pattern- Heterozygotes show RNFL thinning and temporal ONH pallor; PERG amplitudes reduced- OPA1 mislocalization and reduced axonal mitochondrial density observed in retina- Homozygous OPA1 macaques identified; survi...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[350: OPA1 A8S in Rhesus Macaques Models Autosomal Dominant Optic Atrophy]]>
                </itunes:title>
                                    <itunes:episode>350</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Jaggers TN et al et al., PNAS - A spontaneous OPA1 A8S missense mutation in rhesus macaques produces retinal ganglion cell loss, RNFL thinning, optic nerve atrophy, OPA1 mislocalization, and mitochondrial abnormalities, creating a nonhuman primate model that mirrors human autosomal dominant optic atrophy. Key terms: OPA1, autosomal dominant optic atrophy, rhesus macaque, retinal ganglion cell, mitochondria.</p>
<p> Study Highlights:<br />The authors identified an OPA1 NM_015560.2:c.22G&gt;T (p.ala8ser, A8S) variant segregating dominantly in a rhesus colony. Heterozygous macaques showed significant peripapillary RNFL thinning, temporal optic nerve head pallor, and reduced PERG amplitudes consistent with RGC dysfunction. Histology and TEM revealed RGC loss, reduced axonal mitochondrial density, dysmorphic mitochondria, myelin disruption, and OPA1 mislocalization in RNFL axons. The model displays phenotypic variability similar to human ADOA and supports use for preclinical testing of mitochondrial- and gene-targeted therapies.</p>
<p> Conclusion:<br />A spontaneous OPA1 A8S mutation in rhesus macaques recapitulates key structural, functional, and ultrastructural features of human ADOA, providing a translational NHP model for testing therapies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Rhesus macaques with an OPA1 mutation demonstrate features of autosomal dominant optic atrophy</p>
<p> First author:<br />Jaggers TN et al</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2509165123</p>
<p> Reference:<br />Jaggers TN et al., Rhesus macaques with an OPA1 mutation demonstrate features of autosomal dominant optic atrophy. PNAS. 2026;123:e2509165123. https://doi.org/10.1073/pnas.2509165123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/350-opa1-rhesus-adoa</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript sections describing the OPA1 A8S mutation, heterozygous phenotype (RNFL thinning, ONH pallor, PERG deficits), ultrastructural mitochondrial defects and OPA1 mislocalization, homozygous cases, and translational therapy implications.<br />- transcript topics: OPA1 A8S mutation and spontaneous nonhuman primate model; Autosomal dominant optic atrophy (ADOA) in rhesus macaques; RNFL thinning and optic nerve head pallor; PERG dysfunction in OPA1 heterozygotes; Mitochondrial abnormalities and OPA1 mislocalization; TEM findings: dysmorphic mitochondria and axon loss</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- OPA1 A8S missense mutation identified in rhesus macaques in CNPRC colony<br />- Mutation is dominant and linked to autosomal dominant inheritance pattern<br />- Heterozygotes show RNFL thinning and temporal ONH pallor; PERG amplitudes reduced<br />- OPA1 mislocalization and reduced axonal mitochondrial density observed in retina<br />- Homozygous OPA1 macaques identified; survive to adulthood and reproduce<br />- Manual RNFL measurements emphasized due to automated segmentation errors in diseased tissue</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Jaggers TN et al et al., PNAS - A spontaneous OPA1 A8S missense mutation in rhesus macaques produces retinal ganglion cell loss, RNFL thinning, optic nerve atrophy, OPA1 mislocalization, and mitochondrial abnormalities, creating a nonhuman primate model that mirrors human autosomal dominant optic atrophy. Key terms: OPA1, autosomal dominant optic atrophy, rhesus macaque, retinal ganglion cell, mitochondria.
 Study Highlights:The authors identified an OPA1 NM_015560.2:c.22G>T (p.ala8ser, A8S) variant segregating dominantly in a rhesus colony. Heterozygous macaques showed significant peripapillary RNFL thinning, temporal optic nerve head pallor, and reduced PERG amplitudes consistent with RGC dysfunction. Histology and TEM revealed RGC loss, reduced axonal mitochondrial density, dysmorphic mitochondria, myelin disruption, and OPA1 mislocalization in RNFL axons. The model displays phenotypic variability similar to human ADOA and supports use for preclinical testing of mitochondrial- and gene-targeted therapies.
 Conclusion:A spontaneous OPA1 A8S mutation in rhesus macaques recapitulates key structural, functional, and ultrastructural features of human ADOA, providing a translational NHP model for testing therapies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Rhesus macaques with an OPA1 mutation demonstrate features of autosomal dominant optic atrophy
 First author:Jaggers TN et al
 Journal:PNAS
 DOI:10.1073/pnas.2509165123
 Reference:Jaggers TN et al., Rhesus macaques with an OPA1 mutation demonstrate features of autosomal dominant optic atrophy. PNAS. 2026;123:e2509165123. https://doi.org/10.1073/pnas.2509165123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/350-opa1-rhesus-adoa
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript sections describing the OPA1 A8S mutation, heterozygous phenotype (RNFL thinning, ONH pallor, PERG deficits), ultrastructural mitochondrial defects and OPA1 mislocalization, homozygous cases, and translational therapy implications.- transcript topics: OPA1 A8S mutation and spontaneous nonhuman primate model; Autosomal dominant optic atrophy (ADOA) in rhesus macaques; RNFL thinning and optic nerve head pallor; PERG dysfunction in OPA1 heterozygotes; Mitochondrial abnormalities and OPA1 mislocalization; TEM findings: dysmorphic mitochondria and axon loss
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- OPA1 A8S missense mutation identified in rhesus macaques in CNPRC colony- Mutation is dominant and linked to autosomal dominant inheritance pattern- Heterozygotes show RNFL thinning and temporal ONH pallor; PERG amplitudes reduced- OPA1 mislocalization and reduced axonal mitochondrial density observed in retina- Homozygous OPA1 macaques identified; survi...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:25:26</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[349: Oxidized rNTPs and Transcription Fidelity: How 8‑oxo‑rGTP Embeds RNA Damage]]>
                </title>
                <pubDate>Fri, 24 Apr 2026 09:58:31 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2431486</guid>
                                    <link>https://basebybase.castos.com/episodes/8oxo-rgpt-transcription-rna-damage</link>
                                <description>
                                            <![CDATA[<p>Hou P et al., PNAS - This study combines kinetic assays and X‑ray crystallography to show how 8‑oxo‑guanosine triphosphate (8‑oxo‑rGTP) is incorporated by RNA polymerase II and how its pairing geometry with template bases (dC vs dA) differentially alters incorporation efficiency, extension, and proofreading, thereby introducing transcription‑coupled RNA damage. Key terms: RNA damage, 8-oxo-rGTP, RNA polymerase II, transcription fidelity, oxidative stress.</p>
<p> Study Highlights:<br />Pol II incorporates 8‑oxo‑rGTP efficiently opposite dC with kinetics comparable to GTP, whereas incorporation opposite dA is much slower but ~150‑fold more efficient than misincorporation of undamaged rGTP. Extension proceeds rapidly from a 3′‑r8OG:dC pair but is markedly slower from a 3′‑r8OG:dA pair. TFIIS‑stimulated proofreading cleaves r8OG:dC robustly but r8OG:dA is resistant to backtracking and cleavage. Crystal structures reveal 8‑oxo‑rG adopts anti Watson–Crick geometry with dC in the A‑site but flips to syn Hoogsteen geometry with dA, where an interaction with Rpb2 E529 stabilizes a pretranslocation state.</p>
<p> Conclusion:<br />Oxidation of the nucleotide pool can directly undermine Pol II fidelity by enabling efficient incorporation and differential handling of 8‑oxo‑rGTP, producing transcription‑coupled RNA damage with potential consequences for RNA processing, translation, and disease.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Structural basis of transcription -coupled RNA damage by incorporation of oxidized ribonucleotides</p>
<p> First author:<br />Hou P</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2602266123</p>
<p> Reference:<br />Hou P, Lee C, Chong J, Oh J, Wang D. Structural basis of transcription-coupled RNA damage by incorporation of oxidized ribonucleotides. PNAS. 2026;123(16):e2602266123. doi:10.1073/pnas.2602266123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/8oxo-rgpt-transcription-rna-damage</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections on background, kinetic experiments, structural determinations, proofreading, translocation mechanics, and disease relevance; aligned with the canonical article.<br />- transcript topics: Oxidative stress and oxidized ribonucleotides; 8-oxo-rGTP incorporation opposite dC and dA templates; Presteady-state kinetics and incorporation efficiency; Extension after 8-oxo-rGTP incorporation; TFIIS proofreading and backtracking with oxidized nucleotides; Structural basis: A-site anti conformation with dC; syn Hoogsteen with dA; E529 fork loop 2 interaction</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 8-oxo-rGTP can be efficiently incorporated opposite dC, with efficiency comparable to GTP<br />- 8-oxo-rGTP opposite dA is misincorporated ~150-fold more efficiently than rGTP misincorporation<br />- Pol II extends more efficiently from 8-oxo-rG:d...</p>
<h3>Chapters</h3>
<ul><li>(00:00:20) - How oxidized guanine causes cellular aging</li><li>(00:05:39) - How RNA polymerase II mistakes nucleots</li><li>(00:10:31) - Alzheimer's RNA polymerase: A single hydrogen bond paraly</li><li>(00:16:59) - Writing errors in our brains</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Hou P et al., PNAS - This study combines kinetic assays and X‑ray crystallography to show how 8‑oxo‑guanosine triphosphate (8‑oxo‑rGTP) is incorporated by RNA polymerase II and how its pairing geometry with template bases (dC vs dA) differentially alters incorporation efficiency, extension, and proofreading, thereby introducing transcription‑coupled RNA damage. Key terms: RNA damage, 8-oxo-rGTP, RNA polymerase II, transcription fidelity, oxidative stress.
 Study Highlights:Pol II incorporates 8‑oxo‑rGTP efficiently opposite dC with kinetics comparable to GTP, whereas incorporation opposite dA is much slower but ~150‑fold more efficient than misincorporation of undamaged rGTP. Extension proceeds rapidly from a 3′‑r8OG:dC pair but is markedly slower from a 3′‑r8OG:dA pair. TFIIS‑stimulated proofreading cleaves r8OG:dC robustly but r8OG:dA is resistant to backtracking and cleavage. Crystal structures reveal 8‑oxo‑rG adopts anti Watson–Crick geometry with dC in the A‑site but flips to syn Hoogsteen geometry with dA, where an interaction with Rpb2 E529 stabilizes a pretranslocation state.
 Conclusion:Oxidation of the nucleotide pool can directly undermine Pol II fidelity by enabling efficient incorporation and differential handling of 8‑oxo‑rGTP, producing transcription‑coupled RNA damage with potential consequences for RNA processing, translation, and disease.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Structural basis of transcription -coupled RNA damage by incorporation of oxidized ribonucleotides
 First author:Hou P
 Journal:PNAS
 DOI:10.1073/pnas.2602266123
 Reference:Hou P, Lee C, Chong J, Oh J, Wang D. Structural basis of transcription-coupled RNA damage by incorporation of oxidized ribonucleotides. PNAS. 2026;123(16):e2602266123. doi:10.1073/pnas.2602266123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/8oxo-rgpt-transcription-rna-damage
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections on background, kinetic experiments, structural determinations, proofreading, translocation mechanics, and disease relevance; aligned with the canonical article.- transcript topics: Oxidative stress and oxidized ribonucleotides; 8-oxo-rGTP incorporation opposite dC and dA templates; Presteady-state kinetics and incorporation efficiency; Extension after 8-oxo-rGTP incorporation; TFIIS proofreading and backtracking with oxidized nucleotides; Structural basis: A-site anti conformation with dC; syn Hoogsteen with dA; E529 fork loop 2 interaction
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 8-oxo-rGTP can be efficiently incorporated opposite dC, with efficiency comparable to GTP- 8-oxo-rGTP opposite dA is misincorporated ~150-fold more efficiently than rGTP misincorporation- Pol II extends more efficiently from 8-oxo-rG:d...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[349: Oxidized rNTPs and Transcription Fidelity: How 8‑oxo‑rGTP Embeds RNA Damage]]>
                </itunes:title>
                                    <itunes:episode>349</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Hou P et al., PNAS - This study combines kinetic assays and X‑ray crystallography to show how 8‑oxo‑guanosine triphosphate (8‑oxo‑rGTP) is incorporated by RNA polymerase II and how its pairing geometry with template bases (dC vs dA) differentially alters incorporation efficiency, extension, and proofreading, thereby introducing transcription‑coupled RNA damage. Key terms: RNA damage, 8-oxo-rGTP, RNA polymerase II, transcription fidelity, oxidative stress.</p>
<p> Study Highlights:<br />Pol II incorporates 8‑oxo‑rGTP efficiently opposite dC with kinetics comparable to GTP, whereas incorporation opposite dA is much slower but ~150‑fold more efficient than misincorporation of undamaged rGTP. Extension proceeds rapidly from a 3′‑r8OG:dC pair but is markedly slower from a 3′‑r8OG:dA pair. TFIIS‑stimulated proofreading cleaves r8OG:dC robustly but r8OG:dA is resistant to backtracking and cleavage. Crystal structures reveal 8‑oxo‑rG adopts anti Watson–Crick geometry with dC in the A‑site but flips to syn Hoogsteen geometry with dA, where an interaction with Rpb2 E529 stabilizes a pretranslocation state.</p>
<p> Conclusion:<br />Oxidation of the nucleotide pool can directly undermine Pol II fidelity by enabling efficient incorporation and differential handling of 8‑oxo‑rGTP, producing transcription‑coupled RNA damage with potential consequences for RNA processing, translation, and disease.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Structural basis of transcription -coupled RNA damage by incorporation of oxidized ribonucleotides</p>
<p> First author:<br />Hou P</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2602266123</p>
<p> Reference:<br />Hou P, Lee C, Chong J, Oh J, Wang D. Structural basis of transcription-coupled RNA damage by incorporation of oxidized ribonucleotides. PNAS. 2026;123(16):e2602266123. doi:10.1073/pnas.2602266123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/8oxo-rgpt-transcription-rna-damage</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections on background, kinetic experiments, structural determinations, proofreading, translocation mechanics, and disease relevance; aligned with the canonical article.<br />- transcript topics: Oxidative stress and oxidized ribonucleotides; 8-oxo-rGTP incorporation opposite dC and dA templates; Presteady-state kinetics and incorporation efficiency; Extension after 8-oxo-rGTP incorporation; TFIIS proofreading and backtracking with oxidized nucleotides; Structural basis: A-site anti conformation with dC; syn Hoogsteen with dA; E529 fork loop 2 interaction</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 8-oxo-rGTP can be efficiently incorporated opposite dC, with efficiency comparable to GTP<br />- 8-oxo-rGTP opposite dA is misincorporated ~150-fold more efficiently than rGTP misincorporation<br />- Pol II extends more efficiently from 8-oxo-rG:dC than from 8-oxo-rG:dA<br />- TFIIS-stimulated cleavage occurs for 8-oxo-rGTP:dC (~70% cleavage after 30 minutes) but is limited for 8-oxo-rGTP:dA (&lt;10%)<br />- 8-oxo-rGTP binds at the A-site opposite dC in anti conformation; opposite dA it adopts syn conformation forming Hoogsteen pairing<br />- Syn-8-oxo-rG:dA forms a hydrogen bond with Rpb2 E529 in fork loop 2, stabilizing a pretranslocation state and impeding translocation/backtracking</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Hou P et al., PNAS - This study combines kinetic assays and X‑ray crystallography to show how 8‑oxo‑guanosine triphosphate (8‑oxo‑rGTP) is incorporated by RNA polymerase II and how its pairing geometry with template bases (dC vs dA) differentially alters incorporation efficiency, extension, and proofreading, thereby introducing transcription‑coupled RNA damage. Key terms: RNA damage, 8-oxo-rGTP, RNA polymerase II, transcription fidelity, oxidative stress.
 Study Highlights:Pol II incorporates 8‑oxo‑rGTP efficiently opposite dC with kinetics comparable to GTP, whereas incorporation opposite dA is much slower but ~150‑fold more efficient than misincorporation of undamaged rGTP. Extension proceeds rapidly from a 3′‑r8OG:dC pair but is markedly slower from a 3′‑r8OG:dA pair. TFIIS‑stimulated proofreading cleaves r8OG:dC robustly but r8OG:dA is resistant to backtracking and cleavage. Crystal structures reveal 8‑oxo‑rG adopts anti Watson–Crick geometry with dC in the A‑site but flips to syn Hoogsteen geometry with dA, where an interaction with Rpb2 E529 stabilizes a pretranslocation state.
 Conclusion:Oxidation of the nucleotide pool can directly undermine Pol II fidelity by enabling efficient incorporation and differential handling of 8‑oxo‑rGTP, producing transcription‑coupled RNA damage with potential consequences for RNA processing, translation, and disease.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Structural basis of transcription -coupled RNA damage by incorporation of oxidized ribonucleotides
 First author:Hou P
 Journal:PNAS
 DOI:10.1073/pnas.2602266123
 Reference:Hou P, Lee C, Chong J, Oh J, Wang D. Structural basis of transcription-coupled RNA damage by incorporation of oxidized ribonucleotides. PNAS. 2026;123(16):e2602266123. doi:10.1073/pnas.2602266123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/8oxo-rgpt-transcription-rna-damage
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections on background, kinetic experiments, structural determinations, proofreading, translocation mechanics, and disease relevance; aligned with the canonical article.- transcript topics: Oxidative stress and oxidized ribonucleotides; 8-oxo-rGTP incorporation opposite dC and dA templates; Presteady-state kinetics and incorporation efficiency; Extension after 8-oxo-rGTP incorporation; TFIIS proofreading and backtracking with oxidized nucleotides; Structural basis: A-site anti conformation with dC; syn Hoogsteen with dA; E529 fork loop 2 interaction
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 8-oxo-rGTP can be efficiently incorporated opposite dC, with efficiency comparable to GTP- 8-oxo-rGTP opposite dA is misincorporated ~150-fold more efficiently than rGTP misincorporation- Pol II extends more efficiently from 8-oxo-rG:d...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2431486/c1a-p6xp7-2584nn7pi9xo-ah3vhi.png"></itunes:image>
                                                                            <itunes:duration>00:21:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2431486/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[348: v96: A 96-mutation plasma DNA test to track residual AML through transplant]]>
                </title>
                <pubDate>Tue, 21 Apr 2026 22:49:34 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2428655</guid>
                                    <link>https://basebybase.castos.com/episodes/v96-plasma-ctdna-aml-transplant</link>
                                <description>
                                            <![CDATA[<p>Wang Y et al et al., PNAS - This episode covers a PNAS study describing v96, a personalized plasma cell-free DNA assay that tracks up to 96 patient-specific mutations to sensitively quantify measurable residual disease (MRD) in AML patients before and after allogeneic hematopoietic cell transplantation. Key terms: cell-free DNA, measurable residual disease, acute myeloid leukemia, hematopoietic cell transplantation, duplex sequencing.</p>
<p> Study Highlights:<br />The personalized v96 assay detected residual leukemia in 100% of 30 AML patients at clinical remission, compared with 20% by flow cytometry. Plasma cfDNA was more informative and sensitive than bone marrow DNA and driver mutation assays, with 90% of patients positive at 2 months posttransplant. Higher pretransplant mutant molecule counts correlated with relapse risk, and leukemic burden typically fell only after immunosuppression was discontinued, consistent with a graft-versus-leukemia effect.</p>
<p> Conclusion:<br />A plasma-based multiplexed assay (v96) enables highly sensitive, noninvasive MRD monitoring in AML patients undergoing transplantation and may inform timing of immunosuppression and posttransplant interventions, though larger studies are needed to confirm clinical utility.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A plasma - based DNA test for quantification of disease burden in acute myeloid leukemia patients undergoing bone marrow transplantation</p>
<p> First author:<br />Wang Y et al</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2537987123</p>
<p> Reference:<br />Wang Y et al., A plasma-based DNA test for quantification of disease burden in acute myeloid leukemia patients undergoing bone marrow transplantation. PNAS. 2026;123(16):e2537987123. doi:10.1073/pnas.2537987123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/v96-plasma-ctdna-aml-transplant</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of the v96 methodology, passenger vs driver mutations, plasma vs marrow MRD detection, relapse prediction, and posttransplant immunosuppression dynamics against the original article.<br />- transcript topics: v96 workflow and passenger mutation panel; duplex sequencing (SaferSeqS) and error suppression; plasma vs bone marrow cell-free DNA for MRD detection; driver vs passenger mutations for MRD assessment; predictive power for relapse (352-fold difference pre-transplant); graft-versus-leukemia (GvL) dynamics and immunosuppression</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- v96 assay tracks up to 96 leukemia-specific passenger mutations in plasma cfDNA and detects residual leukemia in all patients at complete remission (CR) by v96, vs 20% by flow cyto<br />- plasma cfDNA mutant-allele fractions (MAF) are higher than bone marrow DNA (2.9% vs 0.42%) at CR<br />- pre-transplant plasma mutant m...</p>
<h3>Chapters</h3>
<ul><li>(00:00:09) - How to Catch a Leukemia Patient's Disease in the Dark</li><li>(00:06:43) - The 96-Point mutation detection</li><li>(00:11:15) - Blood tests for leukemia no longer find cancer</li><li>(00:14:04) - Can V96 Predict Who Will Get Sick?</li><li>(00:20:53) - 96 Names in the Line</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Wang Y et al et al., PNAS - This episode covers a PNAS study describing v96, a personalized plasma cell-free DNA assay that tracks up to 96 patient-specific mutations to sensitively quantify measurable residual disease (MRD) in AML patients before and after allogeneic hematopoietic cell transplantation. Key terms: cell-free DNA, measurable residual disease, acute myeloid leukemia, hematopoietic cell transplantation, duplex sequencing.
 Study Highlights:The personalized v96 assay detected residual leukemia in 100% of 30 AML patients at clinical remission, compared with 20% by flow cytometry. Plasma cfDNA was more informative and sensitive than bone marrow DNA and driver mutation assays, with 90% of patients positive at 2 months posttransplant. Higher pretransplant mutant molecule counts correlated with relapse risk, and leukemic burden typically fell only after immunosuppression was discontinued, consistent with a graft-versus-leukemia effect.
 Conclusion:A plasma-based multiplexed assay (v96) enables highly sensitive, noninvasive MRD monitoring in AML patients undergoing transplantation and may inform timing of immunosuppression and posttransplant interventions, though larger studies are needed to confirm clinical utility.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A plasma - based DNA test for quantification of disease burden in acute myeloid leukemia patients undergoing bone marrow transplantation
 First author:Wang Y et al
 Journal:PNAS
 DOI:10.1073/pnas.2537987123
 Reference:Wang Y et al., A plasma-based DNA test for quantification of disease burden in acute myeloid leukemia patients undergoing bone marrow transplantation. PNAS. 2026;123(16):e2537987123. doi:10.1073/pnas.2537987123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/v96-plasma-ctdna-aml-transplant
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of the v96 methodology, passenger vs driver mutations, plasma vs marrow MRD detection, relapse prediction, and posttransplant immunosuppression dynamics against the original article.- transcript topics: v96 workflow and passenger mutation panel; duplex sequencing (SaferSeqS) and error suppression; plasma vs bone marrow cell-free DNA for MRD detection; driver vs passenger mutations for MRD assessment; predictive power for relapse (352-fold difference pre-transplant); graft-versus-leukemia (GvL) dynamics and immunosuppression
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- v96 assay tracks up to 96 leukemia-specific passenger mutations in plasma cfDNA and detects residual leukemia in all patients at complete remission (CR) by v96, vs 20% by flow cyto- plasma cfDNA mutant-allele fractions (MAF) are higher than bone marrow DNA (2.9% vs 0.42%) at CR- pre-transplant plasma mutant m...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[348: v96: A 96-mutation plasma DNA test to track residual AML through transplant]]>
                </itunes:title>
                                    <itunes:episode>348</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Wang Y et al et al., PNAS - This episode covers a PNAS study describing v96, a personalized plasma cell-free DNA assay that tracks up to 96 patient-specific mutations to sensitively quantify measurable residual disease (MRD) in AML patients before and after allogeneic hematopoietic cell transplantation. Key terms: cell-free DNA, measurable residual disease, acute myeloid leukemia, hematopoietic cell transplantation, duplex sequencing.</p>
<p> Study Highlights:<br />The personalized v96 assay detected residual leukemia in 100% of 30 AML patients at clinical remission, compared with 20% by flow cytometry. Plasma cfDNA was more informative and sensitive than bone marrow DNA and driver mutation assays, with 90% of patients positive at 2 months posttransplant. Higher pretransplant mutant molecule counts correlated with relapse risk, and leukemic burden typically fell only after immunosuppression was discontinued, consistent with a graft-versus-leukemia effect.</p>
<p> Conclusion:<br />A plasma-based multiplexed assay (v96) enables highly sensitive, noninvasive MRD monitoring in AML patients undergoing transplantation and may inform timing of immunosuppression and posttransplant interventions, though larger studies are needed to confirm clinical utility.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A plasma - based DNA test for quantification of disease burden in acute myeloid leukemia patients undergoing bone marrow transplantation</p>
<p> First author:<br />Wang Y et al</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2537987123</p>
<p> Reference:<br />Wang Y et al., A plasma-based DNA test for quantification of disease burden in acute myeloid leukemia patients undergoing bone marrow transplantation. PNAS. 2026;123(16):e2537987123. doi:10.1073/pnas.2537987123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/v96-plasma-ctdna-aml-transplant</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of the v96 methodology, passenger vs driver mutations, plasma vs marrow MRD detection, relapse prediction, and posttransplant immunosuppression dynamics against the original article.<br />- transcript topics: v96 workflow and passenger mutation panel; duplex sequencing (SaferSeqS) and error suppression; plasma vs bone marrow cell-free DNA for MRD detection; driver vs passenger mutations for MRD assessment; predictive power for relapse (352-fold difference pre-transplant); graft-versus-leukemia (GvL) dynamics and immunosuppression</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- v96 assay tracks up to 96 leukemia-specific passenger mutations in plasma cfDNA and detects residual leukemia in all patients at complete remission (CR) by v96, vs 20% by flow cyto<br />- plasma cfDNA mutant-allele fractions (MAF) are higher than bone marrow DNA (2.9% vs 0.42%) at CR<br />- pre-transplant plasma mutant molecule counts are 352-fold higher in patients who relapse compared with those who do not relapse<br />- post-transplant residual disease declines more rapidly after immunosuppressive therapy is discontinued, indicating graft-versus-leukemia (GvL) activity<br />- v96 detects MRD in 100% of patients prior to transplant, whereas driver mutations detected by SaferSeqS are found in about 48% (10/21) at the same time point; at 2 months posttrans</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Wang Y et al et al., PNAS - This episode covers a PNAS study describing v96, a personalized plasma cell-free DNA assay that tracks up to 96 patient-specific mutations to sensitively quantify measurable residual disease (MRD) in AML patients before and after allogeneic hematopoietic cell transplantation. Key terms: cell-free DNA, measurable residual disease, acute myeloid leukemia, hematopoietic cell transplantation, duplex sequencing.
 Study Highlights:The personalized v96 assay detected residual leukemia in 100% of 30 AML patients at clinical remission, compared with 20% by flow cytometry. Plasma cfDNA was more informative and sensitive than bone marrow DNA and driver mutation assays, with 90% of patients positive at 2 months posttransplant. Higher pretransplant mutant molecule counts correlated with relapse risk, and leukemic burden typically fell only after immunosuppression was discontinued, consistent with a graft-versus-leukemia effect.
 Conclusion:A plasma-based multiplexed assay (v96) enables highly sensitive, noninvasive MRD monitoring in AML patients undergoing transplantation and may inform timing of immunosuppression and posttransplant interventions, though larger studies are needed to confirm clinical utility.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A plasma - based DNA test for quantification of disease burden in acute myeloid leukemia patients undergoing bone marrow transplantation
 First author:Wang Y et al
 Journal:PNAS
 DOI:10.1073/pnas.2537987123
 Reference:Wang Y et al., A plasma-based DNA test for quantification of disease burden in acute myeloid leukemia patients undergoing bone marrow transplantation. PNAS. 2026;123(16):e2537987123. doi:10.1073/pnas.2537987123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/v96-plasma-ctdna-aml-transplant
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of the v96 methodology, passenger vs driver mutations, plasma vs marrow MRD detection, relapse prediction, and posttransplant immunosuppression dynamics against the original article.- transcript topics: v96 workflow and passenger mutation panel; duplex sequencing (SaferSeqS) and error suppression; plasma vs bone marrow cell-free DNA for MRD detection; driver vs passenger mutations for MRD assessment; predictive power for relapse (352-fold difference pre-transplant); graft-versus-leukemia (GvL) dynamics and immunosuppression
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- v96 assay tracks up to 96 leukemia-specific passenger mutations in plasma cfDNA and detects residual leukemia in all patients at complete remission (CR) by v96, vs 20% by flow cyto- plasma cfDNA mutant-allele fractions (MAF) are higher than bone marrow DNA (2.9% vs 0.42%) at CR- pre-transplant plasma mutant m...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2428655/c1a-p6xp7-1p2kz9o5i4p9-u4vczy.png"></itunes:image>
                                                                            <itunes:duration>00:23:28</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[347: Diffusive spreading across dynamic mitochondrial network architectures]]>
                </title>
                <pubDate>Sun, 19 Apr 2026 12:25:57 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2425600</guid>
                                    <link>https://basebybase.castos.com/episodes/diffusive-spreading-mitochondrial-networks</link>
                                <description>
                                            <![CDATA[<p>Holta KB et al., Proceedings of the National Academy of Sciences (PNAS) - This episode explains a quantitative framework for diffusion on spatially embedded dynamic mitochondrial networks. The study combines analytic theory, agent-based simulations, and live-cell imaging to show how connectivity, fusion/fission, and mobility set biomolecular mixing on mitochondrial populations. Key terms: mitochondria, diffusion, intracellular transport, temporal networks, fusion-fission.</p>
<p> Study Highlights:<br />The authors develop an analytic and simulation framework for diffusive spreading on spatially embedded dynamic networks formed by mitochondrial fusion and fission. They identify a connectivity-driven transition from three-dimensional dispersion across transiently interacting clusters (social regime) to low-dimensional transport along largely stationary interconnected tubules (physical regime). The steady-state distribution is determined by competing timescales for cluster filling, encounter, fusion/fission, and material decay. Application to three human cell lines reveals cell-type variability in predicted spreading times, with hyperfused networks limited by intracluster diffusion and fragmented networks limited by encounters.</p>
<p> Conclusion:<br />Network connectivity and the balance of diffusion, encounter, and fusion/fission timescales quantitatively determine mitochondrial material homogenization, producing distinct scaling regimes with measurable predictions across cell types.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Diffusive spreading across dynamic mitochondrial network architectures</p>
<p> First author:<br />Holta KB</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2523913123</p>
<p> Reference:<br />Holta KB, Zurita C, Teryoshin L, Lewis SC, Koslover EF. Diffusive spreading across dynamic mitochondrial network architectures. Proc Natl Acad Sci U S A. 2026;123(15):e2523913123. doi:10.1073/pnas.2523913123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/diffusive-spreading-mitochondrial-networks</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of the transcript’s representation of the article’s core framework, regimes, timescales, cell-type predictions, modeling approach, and acknowledged limitations, with cross-checks against the original article text and the facts pack.<br />- transcript topics: Temporal networks framework for diffusion on dynamic mitochondrial networks; Physical vs social mitochondrial network regimes; Four timescales governing diffusion: decay, cluster filling, encounter, fission; Agent-based spherocylindrical model and finite-volume diffusion; Time-resolved imaging and cell-type parameterization (SH-SY5Y, IMR90, U2OS); Predictions of spreading times across cell types</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audite...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Holta KB et al., Proceedings of the National Academy of Sciences (PNAS) - This episode explains a quantitative framework for diffusion on spatially embedded dynamic mitochondrial networks. The study combines analytic theory, agent-based simulations, and live-cell imaging to show how connectivity, fusion/fission, and mobility set biomolecular mixing on mitochondrial populations. Key terms: mitochondria, diffusion, intracellular transport, temporal networks, fusion-fission.
 Study Highlights:The authors develop an analytic and simulation framework for diffusive spreading on spatially embedded dynamic networks formed by mitochondrial fusion and fission. They identify a connectivity-driven transition from three-dimensional dispersion across transiently interacting clusters (social regime) to low-dimensional transport along largely stationary interconnected tubules (physical regime). The steady-state distribution is determined by competing timescales for cluster filling, encounter, fusion/fission, and material decay. Application to three human cell lines reveals cell-type variability in predicted spreading times, with hyperfused networks limited by intracluster diffusion and fragmented networks limited by encounters.
 Conclusion:Network connectivity and the balance of diffusion, encounter, and fusion/fission timescales quantitatively determine mitochondrial material homogenization, producing distinct scaling regimes with measurable predictions across cell types.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Diffusive spreading across dynamic mitochondrial network architectures
 First author:Holta KB
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2523913123
 Reference:Holta KB, Zurita C, Teryoshin L, Lewis SC, Koslover EF. Diffusive spreading across dynamic mitochondrial network architectures. Proc Natl Acad Sci U S A. 2026;123(15):e2523913123. doi:10.1073/pnas.2523913123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/diffusive-spreading-mitochondrial-networks
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of the transcript’s representation of the article’s core framework, regimes, timescales, cell-type predictions, modeling approach, and acknowledged limitations, with cross-checks against the original article text and the facts pack.- transcript topics: Temporal networks framework for diffusion on dynamic mitochondrial networks; Physical vs social mitochondrial network regimes; Four timescales governing diffusion: decay, cluster filling, encounter, fission; Agent-based spherocylindrical model and finite-volume diffusion; Time-resolved imaging and cell-type parameterization (SH-SY5Y, IMR90, U2OS); Predictions of spreading times across cell types
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audite...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[347: Diffusive spreading across dynamic mitochondrial network architectures]]>
                </itunes:title>
                                    <itunes:episode>347</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Holta KB et al., Proceedings of the National Academy of Sciences (PNAS) - This episode explains a quantitative framework for diffusion on spatially embedded dynamic mitochondrial networks. The study combines analytic theory, agent-based simulations, and live-cell imaging to show how connectivity, fusion/fission, and mobility set biomolecular mixing on mitochondrial populations. Key terms: mitochondria, diffusion, intracellular transport, temporal networks, fusion-fission.</p>
<p> Study Highlights:<br />The authors develop an analytic and simulation framework for diffusive spreading on spatially embedded dynamic networks formed by mitochondrial fusion and fission. They identify a connectivity-driven transition from three-dimensional dispersion across transiently interacting clusters (social regime) to low-dimensional transport along largely stationary interconnected tubules (physical regime). The steady-state distribution is determined by competing timescales for cluster filling, encounter, fusion/fission, and material decay. Application to three human cell lines reveals cell-type variability in predicted spreading times, with hyperfused networks limited by intracluster diffusion and fragmented networks limited by encounters.</p>
<p> Conclusion:<br />Network connectivity and the balance of diffusion, encounter, and fusion/fission timescales quantitatively determine mitochondrial material homogenization, producing distinct scaling regimes with measurable predictions across cell types.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Diffusive spreading across dynamic mitochondrial network architectures</p>
<p> First author:<br />Holta KB</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2523913123</p>
<p> Reference:<br />Holta KB, Zurita C, Teryoshin L, Lewis SC, Koslover EF. Diffusive spreading across dynamic mitochondrial network architectures. Proc Natl Acad Sci U S A. 2026;123(15):e2523913123. doi:10.1073/pnas.2523913123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/diffusive-spreading-mitochondrial-networks</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of the transcript’s representation of the article’s core framework, regimes, timescales, cell-type predictions, modeling approach, and acknowledged limitations, with cross-checks against the original article text and the facts pack.<br />- transcript topics: Temporal networks framework for diffusion on dynamic mitochondrial networks; Physical vs social mitochondrial network regimes; Four timescales governing diffusion: decay, cluster filling, encounter, fission; Agent-based spherocylindrical model and finite-volume diffusion; Time-resolved imaging and cell-type parameterization (SH-SY5Y, IMR90, U2OS); Predictions of spreading times across cell types</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Connectivity-driven transition between low-dimensional (physical) and three-dimensional (social) network regimes<br />- Four timescales govern spreading: decay, cluster filling, encounter, and fission<br />- Spreading times: SH-SY5Y ~6 minutes; IMR90/U2OS ~45 minutes for Dp = 20 μm2/s<br />- Mobility of mitochondria can bottleneck spreading in fragmented networks<br />- Active transport increases encounter rates; model primarily assumes diffusion<br />- Three-cell-line analysis (SH-SY5Y, IMR90, U2OS) used to parameterize the model</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Holta KB et al., Proceedings of the National Academy of Sciences (PNAS) - This episode explains a quantitative framework for diffusion on spatially embedded dynamic mitochondrial networks. The study combines analytic theory, agent-based simulations, and live-cell imaging to show how connectivity, fusion/fission, and mobility set biomolecular mixing on mitochondrial populations. Key terms: mitochondria, diffusion, intracellular transport, temporal networks, fusion-fission.
 Study Highlights:The authors develop an analytic and simulation framework for diffusive spreading on spatially embedded dynamic networks formed by mitochondrial fusion and fission. They identify a connectivity-driven transition from three-dimensional dispersion across transiently interacting clusters (social regime) to low-dimensional transport along largely stationary interconnected tubules (physical regime). The steady-state distribution is determined by competing timescales for cluster filling, encounter, fusion/fission, and material decay. Application to three human cell lines reveals cell-type variability in predicted spreading times, with hyperfused networks limited by intracluster diffusion and fragmented networks limited by encounters.
 Conclusion:Network connectivity and the balance of diffusion, encounter, and fusion/fission timescales quantitatively determine mitochondrial material homogenization, producing distinct scaling regimes with measurable predictions across cell types.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Diffusive spreading across dynamic mitochondrial network architectures
 First author:Holta KB
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2523913123
 Reference:Holta KB, Zurita C, Teryoshin L, Lewis SC, Koslover EF. Diffusive spreading across dynamic mitochondrial network architectures. Proc Natl Acad Sci U S A. 2026;123(15):e2523913123. doi:10.1073/pnas.2523913123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/diffusive-spreading-mitochondrial-networks
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of the transcript’s representation of the article’s core framework, regimes, timescales, cell-type predictions, modeling approach, and acknowledged limitations, with cross-checks against the original article text and the facts pack.- transcript topics: Temporal networks framework for diffusion on dynamic mitochondrial networks; Physical vs social mitochondrial network regimes; Four timescales governing diffusion: decay, cluster filling, encounter, fission; Agent-based spherocylindrical model and finite-volume diffusion; Time-resolved imaging and cell-type parameterization (SH-SY5Y, IMR90, U2OS); Predictions of spreading times across cell types
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audite...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2425600/c1a-p6xp7-ndrog50vs811-gcdqi2.png"></itunes:image>
                                                                            <itunes:duration>00:23:30</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[346: Palindromes and RNA Self-Recognition]]>
                </title>
                <pubDate>Sun, 19 Apr 2026 00:12:18 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2425179</guid>
                                    <link>https://basebybase.castos.com/episodes/palindromes-rna-self-recognition</link>
                                <description>
                                            <![CDATA[<p>Kimchi O et al., PNAS - This computational study shows that self-complementary RNA regions (palindromes) can drive sequence-specific homotypic clustering by enabling multivalent intermolecular base pairing, and that Drosophila nanos and pgc mRNAs are enriched for accessible, strong palindromes. Key terms: RNA palindromes, homotypic clustering, germ granules, nanos mRNA, phase separation.</p>
<p> Study Highlights:<br />The authors use equilibrium and nonequilibrium in silico analyses to show palindromic regions increase the likelihood of homodimer and higher-order homomultimer formation. Palindrome binding strength correlates with multimerization propensity, and accessible strong palindromes are enriched in nanos and pgc compared to length-matched Drosophila mRNAs. Out-of-equilibrium calculations indicate initial accessible palindromic interactions can favor homotypic binding despite general heterodimer preference. The framework suggests palindromes could be under evolutionary selection and predicts experimental tests using designed synthetic sequences.</p>
<p> Conclusion:<br />Palindromic, self-complementary RNA regions provide a generic mechanism for RNA self-recognition and can explain homotypic clustering in germ granules; palindrome content may be under evolutionary selection and can guide experimental tests with synthetic RNAs.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />How do RNA molecules distinguish self from non-self?</p>
<p> First author:<br />Kimchi O</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2603593123</p>
<p> Reference:<br />Kimchi O, Mitchel K, Pyod AGT, Wingreen NS, Gavis ER. How do RNA molecules distinguish self from non-self? PNAS. 2026;123(15):e2603593123. doi:10.1073/pnas.2603593123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/palindromes-rna-self-recognition</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing palindromic self-recognition, equilibrium and nonequilibrium modeling, nanos/pgc enrichment, cross-species considerations, GFP tail experiment, evolutionary implications, clinical and synthetic biology implications, and study limitations.<br />- transcript topics: Palindromic regions as self-recognition mechanism; Equilibrium vs nonequilibrium RNA interactions; Nanos and pgc palindromes: binding strength and accessibility; GFP tail experiment and cross-context clustering; Evolutionary selection and clinical implications; Limitations of in silico modeling and need for in vitro validation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Palindromic regions enable self-recognition and drive homotypic clustering via multivalent RNA–RNA interactions<br />- Nanos and pgc RNAs are enriched for accessible, strongly binding palindromes and cluster with their own type<br />- Out-of-equilibrium modeling shows nanos and pgc have higher homodimer...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kimchi O et al., PNAS - This computational study shows that self-complementary RNA regions (palindromes) can drive sequence-specific homotypic clustering by enabling multivalent intermolecular base pairing, and that Drosophila nanos and pgc mRNAs are enriched for accessible, strong palindromes. Key terms: RNA palindromes, homotypic clustering, germ granules, nanos mRNA, phase separation.
 Study Highlights:The authors use equilibrium and nonequilibrium in silico analyses to show palindromic regions increase the likelihood of homodimer and higher-order homomultimer formation. Palindrome binding strength correlates with multimerization propensity, and accessible strong palindromes are enriched in nanos and pgc compared to length-matched Drosophila mRNAs. Out-of-equilibrium calculations indicate initial accessible palindromic interactions can favor homotypic binding despite general heterodimer preference. The framework suggests palindromes could be under evolutionary selection and predicts experimental tests using designed synthetic sequences.
 Conclusion:Palindromic, self-complementary RNA regions provide a generic mechanism for RNA self-recognition and can explain homotypic clustering in germ granules; palindrome content may be under evolutionary selection and can guide experimental tests with synthetic RNAs.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:How do RNA molecules distinguish self from non-self?
 First author:Kimchi O
 Journal:PNAS
 DOI:10.1073/pnas.2603593123
 Reference:Kimchi O, Mitchel K, Pyod AGT, Wingreen NS, Gavis ER. How do RNA molecules distinguish self from non-self? PNAS. 2026;123(15):e2603593123. doi:10.1073/pnas.2603593123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/palindromes-rna-self-recognition
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing palindromic self-recognition, equilibrium and nonequilibrium modeling, nanos/pgc enrichment, cross-species considerations, GFP tail experiment, evolutionary implications, clinical and synthetic biology implications, and study limitations.- transcript topics: Palindromic regions as self-recognition mechanism; Equilibrium vs nonequilibrium RNA interactions; Nanos and pgc palindromes: binding strength and accessibility; GFP tail experiment and cross-context clustering; Evolutionary selection and clinical implications; Limitations of in silico modeling and need for in vitro validation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Palindromic regions enable self-recognition and drive homotypic clustering via multivalent RNA–RNA interactions- Nanos and pgc RNAs are enriched for accessible, strongly binding palindromes and cluster with their own type- Out-of-equilibrium modeling shows nanos and pgc have higher homodimer...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[346: Palindromes and RNA Self-Recognition]]>
                </itunes:title>
                                    <itunes:episode>346</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kimchi O et al., PNAS - This computational study shows that self-complementary RNA regions (palindromes) can drive sequence-specific homotypic clustering by enabling multivalent intermolecular base pairing, and that Drosophila nanos and pgc mRNAs are enriched for accessible, strong palindromes. Key terms: RNA palindromes, homotypic clustering, germ granules, nanos mRNA, phase separation.</p>
<p> Study Highlights:<br />The authors use equilibrium and nonequilibrium in silico analyses to show palindromic regions increase the likelihood of homodimer and higher-order homomultimer formation. Palindrome binding strength correlates with multimerization propensity, and accessible strong palindromes are enriched in nanos and pgc compared to length-matched Drosophila mRNAs. Out-of-equilibrium calculations indicate initial accessible palindromic interactions can favor homotypic binding despite general heterodimer preference. The framework suggests palindromes could be under evolutionary selection and predicts experimental tests using designed synthetic sequences.</p>
<p> Conclusion:<br />Palindromic, self-complementary RNA regions provide a generic mechanism for RNA self-recognition and can explain homotypic clustering in germ granules; palindrome content may be under evolutionary selection and can guide experimental tests with synthetic RNAs.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />How do RNA molecules distinguish self from non-self?</p>
<p> First author:<br />Kimchi O</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2603593123</p>
<p> Reference:<br />Kimchi O, Mitchel K, Pyod AGT, Wingreen NS, Gavis ER. How do RNA molecules distinguish self from non-self? PNAS. 2026;123(15):e2603593123. doi:10.1073/pnas.2603593123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/palindromes-rna-self-recognition</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing palindromic self-recognition, equilibrium and nonequilibrium modeling, nanos/pgc enrichment, cross-species considerations, GFP tail experiment, evolutionary implications, clinical and synthetic biology implications, and study limitations.<br />- transcript topics: Palindromic regions as self-recognition mechanism; Equilibrium vs nonequilibrium RNA interactions; Nanos and pgc palindromes: binding strength and accessibility; GFP tail experiment and cross-context clustering; Evolutionary selection and clinical implications; Limitations of in silico modeling and need for in vitro validation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Palindromic regions enable self-recognition and drive homotypic clustering via multivalent RNA–RNA interactions<br />- Nanos and pgc RNAs are enriched for accessible, strongly binding palindromes and cluster with their own type<br />- Out-of-equilibrium modeling shows nanos and pgc have higher homodimer propensity than typical RNAs<br />- Deleting palindromes abolishes homotypic bias, illustrating necessity of palindromes<br />- GFP mRNA with nanos tail forms its own homotypic clusters, validating palindrome-driven self-recognition across sequences<br />- Palindromes are proposed to be under evolutionary selection; content affects clustering across contexts</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Kimchi O et al., PNAS - This computational study shows that self-complementary RNA regions (palindromes) can drive sequence-specific homotypic clustering by enabling multivalent intermolecular base pairing, and that Drosophila nanos and pgc mRNAs are enriched for accessible, strong palindromes. Key terms: RNA palindromes, homotypic clustering, germ granules, nanos mRNA, phase separation.
 Study Highlights:The authors use equilibrium and nonequilibrium in silico analyses to show palindromic regions increase the likelihood of homodimer and higher-order homomultimer formation. Palindrome binding strength correlates with multimerization propensity, and accessible strong palindromes are enriched in nanos and pgc compared to length-matched Drosophila mRNAs. Out-of-equilibrium calculations indicate initial accessible palindromic interactions can favor homotypic binding despite general heterodimer preference. The framework suggests palindromes could be under evolutionary selection and predicts experimental tests using designed synthetic sequences.
 Conclusion:Palindromic, self-complementary RNA regions provide a generic mechanism for RNA self-recognition and can explain homotypic clustering in germ granules; palindrome content may be under evolutionary selection and can guide experimental tests with synthetic RNAs.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:How do RNA molecules distinguish self from non-self?
 First author:Kimchi O
 Journal:PNAS
 DOI:10.1073/pnas.2603593123
 Reference:Kimchi O, Mitchel K, Pyod AGT, Wingreen NS, Gavis ER. How do RNA molecules distinguish self from non-self? PNAS. 2026;123(15):e2603593123. doi:10.1073/pnas.2603593123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/palindromes-rna-self-recognition
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing palindromic self-recognition, equilibrium and nonequilibrium modeling, nanos/pgc enrichment, cross-species considerations, GFP tail experiment, evolutionary implications, clinical and synthetic biology implications, and study limitations.- transcript topics: Palindromic regions as self-recognition mechanism; Equilibrium vs nonequilibrium RNA interactions; Nanos and pgc palindromes: binding strength and accessibility; GFP tail experiment and cross-context clustering; Evolutionary selection and clinical implications; Limitations of in silico modeling and need for in vitro validation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Palindromic regions enable self-recognition and drive homotypic clustering via multivalent RNA–RNA interactions- Nanos and pgc RNAs are enriched for accessible, strongly binding palindromes and cluster with their own type- Out-of-equilibrium modeling shows nanos and pgc have higher homodimer...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2425179/c1a-p6xp7-gpjwndkkc1r-5sidic.png"></itunes:image>
                                                                            <itunes:duration>00:23:19</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[345: Genes of Prosody: Rhythm, Music, and Reading]]>
                </title>
                <pubDate>Fri, 17 Apr 2026 05:58:08 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2424230</guid>
                                    <link>https://basebybase.castos.com/episodes/genes-of-prosody-rhythm-music-reading</link>
                                <description>
                                            <![CDATA[<p>Scartozzi AC et al., Human Genetics and Genomics Advances - This episode reviews a GWAS of speech rhythm (prosody) perception using the TOPsy task (n≈1,501 European-ancestry), reporting 14 suggestive loci, nominal enrichment for songbird vocal-learning gene sets, and polygenic links to reading and musical rhythm. Key terms: prosody, speech rhythm, genetics, musical rhythm, reading.</p>
<p> Study Highlights:<br />The authors performed a GWAS of TOPsy speech rhythm scores in ~1,501 individuals of European genetic ancestry and identified 14 loci reaching suggestive significance but no genome-wide significant hits. Gene-based analyses flagged TTLL1 and GP2 among the top genes without Bonferroni significance. Gene-set enrichment showed nominal overlap with songbird Area X vocal-learning gene sets, consistent with evolutionary convergence hypotheses. Polygenic score analyses demonstrated shared genetic influences between prosody perception and both word reading and beat synchronization, while voice-pitch PGS results were weaker.</p>
<p> Conclusion:<br />Findings provide initial genomic evidence that prosody perception is polygenic and shares genetic architecture with reading and musical rhythm, and they motivate larger, more diverse samples and scalable phenotyping (TOPsy) to validate and extend these results.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome-wide investigation of prosody perception: Shared genetic influences between speech rhythm, musical rhythm, and reading traits</p>
<p> First author:<br />Scartozzi AC</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100581</p>
<p> Reference:<br />Scartozzi AC, Wang Y, Coleman PL, et al. Genome-wide investigation of prosody perception: Shared genetic influences between speech rhythm, musical rhythm, and reading traits. Human Genetics and Genomics Advances. 2026;7:100581. https://doi.org/10.1016/j.xhgg.2026.100581</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genes-of-prosody-rhythm-music-reading</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing: the definition/importance of prosody and speech rhythm; TOPsy test methodology; GWAS results (no genome-wide hits, 14 suggestive loci); top gene signals (TTLL1 and GP2); cross-species birdsong gene-set enrichment (Area X); polygenic score analyses (word reading, beat synchron<br />- transcript topics: Definition and importance of prosody and speech rhythm; TOPsy remote 28-item test design and phenotyping; Genome-wide association results for TOPsy (n=1501 European ancestry); Gene-based GWAS signals TTLL1 and GP2; Birdsong gene-set enrichment: Area X and cross-species convergence; Polygenic score analyses: word reading and beat synchronization predicting TOPsy</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TOPsy is a 28-item remote, auto...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Scartozzi AC et al., Human Genetics and Genomics Advances - This episode reviews a GWAS of speech rhythm (prosody) perception using the TOPsy task (n≈1,501 European-ancestry), reporting 14 suggestive loci, nominal enrichment for songbird vocal-learning gene sets, and polygenic links to reading and musical rhythm. Key terms: prosody, speech rhythm, genetics, musical rhythm, reading.
 Study Highlights:The authors performed a GWAS of TOPsy speech rhythm scores in ~1,501 individuals of European genetic ancestry and identified 14 loci reaching suggestive significance but no genome-wide significant hits. Gene-based analyses flagged TTLL1 and GP2 among the top genes without Bonferroni significance. Gene-set enrichment showed nominal overlap with songbird Area X vocal-learning gene sets, consistent with evolutionary convergence hypotheses. Polygenic score analyses demonstrated shared genetic influences between prosody perception and both word reading and beat synchronization, while voice-pitch PGS results were weaker.
 Conclusion:Findings provide initial genomic evidence that prosody perception is polygenic and shares genetic architecture with reading and musical rhythm, and they motivate larger, more diverse samples and scalable phenotyping (TOPsy) to validate and extend these results.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome-wide investigation of prosody perception: Shared genetic influences between speech rhythm, musical rhythm, and reading traits
 First author:Scartozzi AC
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100581
 Reference:Scartozzi AC, Wang Y, Coleman PL, et al. Genome-wide investigation of prosody perception: Shared genetic influences between speech rhythm, musical rhythm, and reading traits. Human Genetics and Genomics Advances. 2026;7:100581. https://doi.org/10.1016/j.xhgg.2026.100581
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genes-of-prosody-rhythm-music-reading
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing: the definition/importance of prosody and speech rhythm; TOPsy test methodology; GWAS results (no genome-wide hits, 14 suggestive loci); top gene signals (TTLL1 and GP2); cross-species birdsong gene-set enrichment (Area X); polygenic score analyses (word reading, beat synchron- transcript topics: Definition and importance of prosody and speech rhythm; TOPsy remote 28-item test design and phenotyping; Genome-wide association results for TOPsy (n=1501 European ancestry); Gene-based GWAS signals TTLL1 and GP2; Birdsong gene-set enrichment: Area X and cross-species convergence; Polygenic score analyses: word reading and beat synchronization predicting TOPsy
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- TOPsy is a 28-item remote, auto...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[345: Genes of Prosody: Rhythm, Music, and Reading]]>
                </itunes:title>
                                    <itunes:episode>345</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Scartozzi AC et al., Human Genetics and Genomics Advances - This episode reviews a GWAS of speech rhythm (prosody) perception using the TOPsy task (n≈1,501 European-ancestry), reporting 14 suggestive loci, nominal enrichment for songbird vocal-learning gene sets, and polygenic links to reading and musical rhythm. Key terms: prosody, speech rhythm, genetics, musical rhythm, reading.</p>
<p> Study Highlights:<br />The authors performed a GWAS of TOPsy speech rhythm scores in ~1,501 individuals of European genetic ancestry and identified 14 loci reaching suggestive significance but no genome-wide significant hits. Gene-based analyses flagged TTLL1 and GP2 among the top genes without Bonferroni significance. Gene-set enrichment showed nominal overlap with songbird Area X vocal-learning gene sets, consistent with evolutionary convergence hypotheses. Polygenic score analyses demonstrated shared genetic influences between prosody perception and both word reading and beat synchronization, while voice-pitch PGS results were weaker.</p>
<p> Conclusion:<br />Findings provide initial genomic evidence that prosody perception is polygenic and shares genetic architecture with reading and musical rhythm, and they motivate larger, more diverse samples and scalable phenotyping (TOPsy) to validate and extend these results.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome-wide investigation of prosody perception: Shared genetic influences between speech rhythm, musical rhythm, and reading traits</p>
<p> First author:<br />Scartozzi AC</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100581</p>
<p> Reference:<br />Scartozzi AC, Wang Y, Coleman PL, et al. Genome-wide investigation of prosody perception: Shared genetic influences between speech rhythm, musical rhythm, and reading traits. Human Genetics and Genomics Advances. 2026;7:100581. https://doi.org/10.1016/j.xhgg.2026.100581</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genes-of-prosody-rhythm-music-reading</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing: the definition/importance of prosody and speech rhythm; TOPsy test methodology; GWAS results (no genome-wide hits, 14 suggestive loci); top gene signals (TTLL1 and GP2); cross-species birdsong gene-set enrichment (Area X); polygenic score analyses (word reading, beat synchron<br />- transcript topics: Definition and importance of prosody and speech rhythm; TOPsy remote 28-item test design and phenotyping; Genome-wide association results for TOPsy (n=1501 European ancestry); Gene-based GWAS signals TTLL1 and GP2; Birdsong gene-set enrichment: Area X and cross-species convergence; Polygenic score analyses: word reading and beat synchronization predicting TOPsy</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TOPsy is a 28-item remote, auto-scored test for syllable stress (prosody) perception<br />- GWAS sample size: 1,501 individuals of European ancestry; λ ~ 1.0065<br />- No genome-wide significant variant; 14 loci reached suggestive significance (p &lt; 5e-6)<br />- Top gene-based signals include TTLL1 and GP2<br />- Birdsong gene sets showed enrichment for Area X (Area X overlap) in humans<br />- Word reading PGS and beat synchronization PGS predicted TOPsy scores; voice pitch variability PGS weaker and not consistently replicated</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Scartozzi AC et al., Human Genetics and Genomics Advances - This episode reviews a GWAS of speech rhythm (prosody) perception using the TOPsy task (n≈1,501 European-ancestry), reporting 14 suggestive loci, nominal enrichment for songbird vocal-learning gene sets, and polygenic links to reading and musical rhythm. Key terms: prosody, speech rhythm, genetics, musical rhythm, reading.
 Study Highlights:The authors performed a GWAS of TOPsy speech rhythm scores in ~1,501 individuals of European genetic ancestry and identified 14 loci reaching suggestive significance but no genome-wide significant hits. Gene-based analyses flagged TTLL1 and GP2 among the top genes without Bonferroni significance. Gene-set enrichment showed nominal overlap with songbird Area X vocal-learning gene sets, consistent with evolutionary convergence hypotheses. Polygenic score analyses demonstrated shared genetic influences between prosody perception and both word reading and beat synchronization, while voice-pitch PGS results were weaker.
 Conclusion:Findings provide initial genomic evidence that prosody perception is polygenic and shares genetic architecture with reading and musical rhythm, and they motivate larger, more diverse samples and scalable phenotyping (TOPsy) to validate and extend these results.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome-wide investigation of prosody perception: Shared genetic influences between speech rhythm, musical rhythm, and reading traits
 First author:Scartozzi AC
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100581
 Reference:Scartozzi AC, Wang Y, Coleman PL, et al. Genome-wide investigation of prosody perception: Shared genetic influences between speech rhythm, musical rhythm, and reading traits. Human Genetics and Genomics Advances. 2026;7:100581. https://doi.org/10.1016/j.xhgg.2026.100581
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genes-of-prosody-rhythm-music-reading
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing: the definition/importance of prosody and speech rhythm; TOPsy test methodology; GWAS results (no genome-wide hits, 14 suggestive loci); top gene signals (TTLL1 and GP2); cross-species birdsong gene-set enrichment (Area X); polygenic score analyses (word reading, beat synchron- transcript topics: Definition and importance of prosody and speech rhythm; TOPsy remote 28-item test design and phenotyping; Genome-wide association results for TOPsy (n=1501 European ancestry); Gene-based GWAS signals TTLL1 and GP2; Birdsong gene-set enrichment: Area X and cross-species convergence; Polygenic score analyses: word reading and beat synchronization predicting TOPsy
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- TOPsy is a 28-item remote, auto...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2424230/c1a-p6xp7-rkgz2odqs21z-ugjjda.png"></itunes:image>
                                                                            <itunes:duration>00:25:41</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[344: Homozygous TNNI3 p.Arg136* and severe pediatric restrictive cardiomyopathy]]>
                </title>
                <pubDate>Fri, 17 Apr 2026 05:16:49 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2424222</guid>
                                    <link>https://basebybase.castos.com/episodes/tnni3-arg136-pediatric-rcm</link>
                                <description>
                                            <![CDATA[<p>Kühnisch J et al., Human Genetics and Genomics Advances 7, 100598 (2026) - Case report and tissue analysis linking a homozygous TNNI3 nonsense variant (c.406C&gt;T; p.Arg136*) to early-onset, treatment-refractory restrictive cardiomyopathy in a young child who required heart transplantation. Key terms: TNNI3, restrictive cardiomyopathy, pediatric cardiomyopathy, troponin I, protein truncation.</p>
<p> Study Highlights:<br />A 2-year-old female with severe pediatric restrictive cardiomyopathy carried a homozygous TNNI3 c.406C&gt;T (p.Arg136*) nonsense variant. Myocardial immunostaining showed approximately 50% reduced TNNI3 protein abundance though truncated protein remained detectable. Electron microscopy revealed myofibrillar disarray, irregular Z bands, indistinct M lines, and mitochondrial hyperplasia. The clinical course was treatment refractory and led to heart transplant at 28 months, implicating variant zygosity and truncation position in phenotype determination.</p>
<p> Conclusion:<br />Biallelic truncation of TNNI3 (p.Arg136*) can cause severe early-onset pediatric restrictive cardiomyopathy, with reduced but partially stable truncated protein and severe sarcomeric pathology prompting early transplantation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A homozygous variant in cardiac troponin I3, TNNI3, causes severe pediatric restrictive cardiomyopathy</p>
<p> First author:<br />Kühnisch J</p>
<p> Journal:<br />Human Genetics and Genomics Advances 7, 100598 (2026)</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100598</p>
<p> Reference:<br />Kühnisch J, Barnett CL, Brendel J, et al. A homozygous variant in cardiac troponin I3, TNNI3, causes severe pediatric restrictive cardiomyopathy. Human Genetics and Genomics Advances. 7:100598. https://doi.org/10.1016/j.xhgg.2026.100598</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/tnni3-arg136-pediatric-rcm</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's representation of the genetic case, protein expression, tissue analyses, mechanistic interpretation, and genotype–phenotype implications as described in the article.<br />- transcript topics: RCM vs DCM distinctions; TNNI3 function in the troponin complex; Case presentation and homozygous TNNI3 variant; DNA sequencing and parental segregation; Protein expression by immunostaining; Ultrastructural TEM findings</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Homozygous TNNI3 nonsense variant c.406C&gt;T (p.Arg136*) identified in the proband.<br />- Proband presented with severe restrictive cardiomyopathy (RCM) requiring heart transplantation at 28 months.<br />- TNNI3 protein abundance was reduced by approximately 50%, with detectable truncated protein remaining.<br />- TEM showed sarcomeric disarray and mitochondrial hyperplasia in explanted heart tissue.<br />- NMD failed to completely eliminate the tr...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kühnisch J et al., Human Genetics and Genomics Advances 7, 100598 (2026) - Case report and tissue analysis linking a homozygous TNNI3 nonsense variant (c.406C>T; p.Arg136*) to early-onset, treatment-refractory restrictive cardiomyopathy in a young child who required heart transplantation. Key terms: TNNI3, restrictive cardiomyopathy, pediatric cardiomyopathy, troponin I, protein truncation.
 Study Highlights:A 2-year-old female with severe pediatric restrictive cardiomyopathy carried a homozygous TNNI3 c.406C>T (p.Arg136*) nonsense variant. Myocardial immunostaining showed approximately 50% reduced TNNI3 protein abundance though truncated protein remained detectable. Electron microscopy revealed myofibrillar disarray, irregular Z bands, indistinct M lines, and mitochondrial hyperplasia. The clinical course was treatment refractory and led to heart transplant at 28 months, implicating variant zygosity and truncation position in phenotype determination.
 Conclusion:Biallelic truncation of TNNI3 (p.Arg136*) can cause severe early-onset pediatric restrictive cardiomyopathy, with reduced but partially stable truncated protein and severe sarcomeric pathology prompting early transplantation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A homozygous variant in cardiac troponin I3, TNNI3, causes severe pediatric restrictive cardiomyopathy
 First author:Kühnisch J
 Journal:Human Genetics and Genomics Advances 7, 100598 (2026)
 DOI:10.1016/j.xhgg.2026.100598
 Reference:Kühnisch J, Barnett CL, Brendel J, et al. A homozygous variant in cardiac troponin I3, TNNI3, causes severe pediatric restrictive cardiomyopathy. Human Genetics and Genomics Advances. 7:100598. https://doi.org/10.1016/j.xhgg.2026.100598
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/tnni3-arg136-pediatric-rcm
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's representation of the genetic case, protein expression, tissue analyses, mechanistic interpretation, and genotype–phenotype implications as described in the article.- transcript topics: RCM vs DCM distinctions; TNNI3 function in the troponin complex; Case presentation and homozygous TNNI3 variant; DNA sequencing and parental segregation; Protein expression by immunostaining; Ultrastructural TEM findings
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Homozygous TNNI3 nonsense variant c.406C>T (p.Arg136*) identified in the proband.- Proband presented with severe restrictive cardiomyopathy (RCM) requiring heart transplantation at 28 months.- TNNI3 protein abundance was reduced by approximately 50%, with detectable truncated protein remaining.- TEM showed sarcomeric disarray and mitochondrial hyperplasia in explanted heart tissue.- NMD failed to completely eliminate the tr...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[344: Homozygous TNNI3 p.Arg136* and severe pediatric restrictive cardiomyopathy]]>
                </itunes:title>
                                    <itunes:episode>344</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kühnisch J et al., Human Genetics and Genomics Advances 7, 100598 (2026) - Case report and tissue analysis linking a homozygous TNNI3 nonsense variant (c.406C&gt;T; p.Arg136*) to early-onset, treatment-refractory restrictive cardiomyopathy in a young child who required heart transplantation. Key terms: TNNI3, restrictive cardiomyopathy, pediatric cardiomyopathy, troponin I, protein truncation.</p>
<p> Study Highlights:<br />A 2-year-old female with severe pediatric restrictive cardiomyopathy carried a homozygous TNNI3 c.406C&gt;T (p.Arg136*) nonsense variant. Myocardial immunostaining showed approximately 50% reduced TNNI3 protein abundance though truncated protein remained detectable. Electron microscopy revealed myofibrillar disarray, irregular Z bands, indistinct M lines, and mitochondrial hyperplasia. The clinical course was treatment refractory and led to heart transplant at 28 months, implicating variant zygosity and truncation position in phenotype determination.</p>
<p> Conclusion:<br />Biallelic truncation of TNNI3 (p.Arg136*) can cause severe early-onset pediatric restrictive cardiomyopathy, with reduced but partially stable truncated protein and severe sarcomeric pathology prompting early transplantation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A homozygous variant in cardiac troponin I3, TNNI3, causes severe pediatric restrictive cardiomyopathy</p>
<p> First author:<br />Kühnisch J</p>
<p> Journal:<br />Human Genetics and Genomics Advances 7, 100598 (2026)</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100598</p>
<p> Reference:<br />Kühnisch J, Barnett CL, Brendel J, et al. A homozygous variant in cardiac troponin I3, TNNI3, causes severe pediatric restrictive cardiomyopathy. Human Genetics and Genomics Advances. 7:100598. https://doi.org/10.1016/j.xhgg.2026.100598</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/tnni3-arg136-pediatric-rcm</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's representation of the genetic case, protein expression, tissue analyses, mechanistic interpretation, and genotype–phenotype implications as described in the article.<br />- transcript topics: RCM vs DCM distinctions; TNNI3 function in the troponin complex; Case presentation and homozygous TNNI3 variant; DNA sequencing and parental segregation; Protein expression by immunostaining; Ultrastructural TEM findings</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Homozygous TNNI3 nonsense variant c.406C&gt;T (p.Arg136*) identified in the proband.<br />- Proband presented with severe restrictive cardiomyopathy (RCM) requiring heart transplantation at 28 months.<br />- TNNI3 protein abundance was reduced by approximately 50%, with detectable truncated protein remaining.<br />- TEM showed sarcomeric disarray and mitochondrial hyperplasia in explanted heart tissue.<br />- NMD failed to completely eliminate the truncated transcript due to exon 7 being near the end of the gene.<br />- Heterozygous parents were clinically healthy carriers, supporting non-penetrance of haploinsufficiency in this context.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2424222/c1e-q6o5kc77r3dsnon1v-8d8w0rx8hznk-e6inob.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2424222&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Ftnni3-arg136-pediatric-rcm&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=c534564cef1840c7ba34cdc68905ce6fd644574e6bbf85f145e82853d6d5d870" length="33784749"
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                                <itunes:summary>
                    <![CDATA[Kühnisch J et al., Human Genetics and Genomics Advances 7, 100598 (2026) - Case report and tissue analysis linking a homozygous TNNI3 nonsense variant (c.406C>T; p.Arg136*) to early-onset, treatment-refractory restrictive cardiomyopathy in a young child who required heart transplantation. Key terms: TNNI3, restrictive cardiomyopathy, pediatric cardiomyopathy, troponin I, protein truncation.
 Study Highlights:A 2-year-old female with severe pediatric restrictive cardiomyopathy carried a homozygous TNNI3 c.406C>T (p.Arg136*) nonsense variant. Myocardial immunostaining showed approximately 50% reduced TNNI3 protein abundance though truncated protein remained detectable. Electron microscopy revealed myofibrillar disarray, irregular Z bands, indistinct M lines, and mitochondrial hyperplasia. The clinical course was treatment refractory and led to heart transplant at 28 months, implicating variant zygosity and truncation position in phenotype determination.
 Conclusion:Biallelic truncation of TNNI3 (p.Arg136*) can cause severe early-onset pediatric restrictive cardiomyopathy, with reduced but partially stable truncated protein and severe sarcomeric pathology prompting early transplantation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A homozygous variant in cardiac troponin I3, TNNI3, causes severe pediatric restrictive cardiomyopathy
 First author:Kühnisch J
 Journal:Human Genetics and Genomics Advances 7, 100598 (2026)
 DOI:10.1016/j.xhgg.2026.100598
 Reference:Kühnisch J, Barnett CL, Brendel J, et al. A homozygous variant in cardiac troponin I3, TNNI3, causes severe pediatric restrictive cardiomyopathy. Human Genetics and Genomics Advances. 7:100598. https://doi.org/10.1016/j.xhgg.2026.100598
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/tnni3-arg136-pediatric-rcm
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's representation of the genetic case, protein expression, tissue analyses, mechanistic interpretation, and genotype–phenotype implications as described in the article.- transcript topics: RCM vs DCM distinctions; TNNI3 function in the troponin complex; Case presentation and homozygous TNNI3 variant; DNA sequencing and parental segregation; Protein expression by immunostaining; Ultrastructural TEM findings
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Homozygous TNNI3 nonsense variant c.406C>T (p.Arg136*) identified in the proband.- Proband presented with severe restrictive cardiomyopathy (RCM) requiring heart transplantation at 28 months.- TNNI3 protein abundance was reduced by approximately 50%, with detectable truncated protein remaining.- TEM showed sarcomeric disarray and mitochondrial hyperplasia in explanted heart tissue.- NMD failed to completely eliminate the tr...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2424222/c1a-p6xp7-kpowj475iw06-mybsj5.png"></itunes:image>
                                                                            <itunes:duration>00:23:28</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[343: From Cats to Dogs: The Parvovirus Host Jump]]>
                </title>
                <pubDate>Wed, 15 Apr 2026 09:37:46 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2422690</guid>
                                    <link>https://basebybase.castos.com/episodes/feline-to-canine-parvovirus-origins</link>
                                <description>
                                            <![CDATA[<p>López-Astacio RA et al., PNAS - Analysis of 60 years of feline panleukopenia virus genomes traces the origins of canine parvovirus, identifies vaccine-derived sequences, and documents distinct evolutionary rates and capsid adaptations that enabled a host jump to dogs. Key terms: parvovirus, FPV, CPV, host jump, evolution.</p>
<p> Study Highlights:<br />Using full-genome sequencing and phylogenetics, the authors compare 60 years of FPV evolution with 47 years of CPV evolution and identify vaccine-derived sequences that cluster with early isolates. FPV evolves at roughly one-third the rate of CPV in dogs, while the CPV ancestor is closely related to European FPV-like strains and carries multiple capsid mutations linked to binding the canine transferrin receptor. Live-attenuated FPV vaccines derive from early 1960s isolates and FPV shows little antigenic selection compared to the faster-evolving CPV lineage. These patterns emphasize distinct evolutionary dynamics in reservoir versus new hosts during epidemic emergence.</p>
<p> Conclusion:<br />A single FPV-related lineage from Europe accumulated multiple capsid changes enabling canine TfR binding and gave rise to the CPV pandemic; thereafter CPV evolved approximately 3–4 times faster in dogs, while FPV in its reservoir hosts showed slow evolution with limited antigenic change and persistent vaccine-derived genomes in databases.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Distinct evolutionary patterns of endemic and emerging parvoviruses and the origin of a new pandemic virus</p>
<p> First author:<br />López-Astacio RA</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2515274123</p>
<p> Reference:<br />López-Astacio RA, Wasik BR, Lee H, Voorhees IEH, Weichert WS, Adu OF, Goodman LB, Hafenstein SL, Truyen U, Parrish CR. Distinct evolutionary patterns of endemic and emerging parvoviruses and the origin of a new pandemic virus. PNAS. 2026;123(16):e2515274123. doi:10.1073/pnas.2515274123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/feline-to-canine-parvovirus-origins</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing FPV reservoir, CPV emergence, TfR binding and glycosylation barriers, VP2/other capsid mutations, evolutionary rates, vaccine-derived FPV sequences, antigenic variation, intermediate hosts, and missing ancestral link.<br />- transcript topics: FPV feline reservoir and CPV emergence; Transferrin receptor binding and canine TfR glycosylation barrier; VP2 mutations and host-range adaptation; Evolutionary rates FPV vs CPV and molecular clock methods; Vaccine-derived FPV sequences and vaccine filtering; Antigenic variation in FPV vs CPV and vaccine efficacy</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CPV originated from European FPV lineage with host-range mutations enabling canine TfR binding<br />- CPV subst...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[López-Astacio RA et al., PNAS - Analysis of 60 years of feline panleukopenia virus genomes traces the origins of canine parvovirus, identifies vaccine-derived sequences, and documents distinct evolutionary rates and capsid adaptations that enabled a host jump to dogs. Key terms: parvovirus, FPV, CPV, host jump, evolution.
 Study Highlights:Using full-genome sequencing and phylogenetics, the authors compare 60 years of FPV evolution with 47 years of CPV evolution and identify vaccine-derived sequences that cluster with early isolates. FPV evolves at roughly one-third the rate of CPV in dogs, while the CPV ancestor is closely related to European FPV-like strains and carries multiple capsid mutations linked to binding the canine transferrin receptor. Live-attenuated FPV vaccines derive from early 1960s isolates and FPV shows little antigenic selection compared to the faster-evolving CPV lineage. These patterns emphasize distinct evolutionary dynamics in reservoir versus new hosts during epidemic emergence.
 Conclusion:A single FPV-related lineage from Europe accumulated multiple capsid changes enabling canine TfR binding and gave rise to the CPV pandemic; thereafter CPV evolved approximately 3–4 times faster in dogs, while FPV in its reservoir hosts showed slow evolution with limited antigenic change and persistent vaccine-derived genomes in databases.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Distinct evolutionary patterns of endemic and emerging parvoviruses and the origin of a new pandemic virus
 First author:López-Astacio RA
 Journal:PNAS
 DOI:10.1073/pnas.2515274123
 Reference:López-Astacio RA, Wasik BR, Lee H, Voorhees IEH, Weichert WS, Adu OF, Goodman LB, Hafenstein SL, Truyen U, Parrish CR. Distinct evolutionary patterns of endemic and emerging parvoviruses and the origin of a new pandemic virus. PNAS. 2026;123(16):e2515274123. doi:10.1073/pnas.2515274123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/feline-to-canine-parvovirus-origins
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing FPV reservoir, CPV emergence, TfR binding and glycosylation barriers, VP2/other capsid mutations, evolutionary rates, vaccine-derived FPV sequences, antigenic variation, intermediate hosts, and missing ancestral link.- transcript topics: FPV feline reservoir and CPV emergence; Transferrin receptor binding and canine TfR glycosylation barrier; VP2 mutations and host-range adaptation; Evolutionary rates FPV vs CPV and molecular clock methods; Vaccine-derived FPV sequences and vaccine filtering; Antigenic variation in FPV vs CPV and vaccine efficacy
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CPV originated from European FPV lineage with host-range mutations enabling canine TfR binding- CPV subst...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[343: From Cats to Dogs: The Parvovirus Host Jump]]>
                </itunes:title>
                                    <itunes:episode>343</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>López-Astacio RA et al., PNAS - Analysis of 60 years of feline panleukopenia virus genomes traces the origins of canine parvovirus, identifies vaccine-derived sequences, and documents distinct evolutionary rates and capsid adaptations that enabled a host jump to dogs. Key terms: parvovirus, FPV, CPV, host jump, evolution.</p>
<p> Study Highlights:<br />Using full-genome sequencing and phylogenetics, the authors compare 60 years of FPV evolution with 47 years of CPV evolution and identify vaccine-derived sequences that cluster with early isolates. FPV evolves at roughly one-third the rate of CPV in dogs, while the CPV ancestor is closely related to European FPV-like strains and carries multiple capsid mutations linked to binding the canine transferrin receptor. Live-attenuated FPV vaccines derive from early 1960s isolates and FPV shows little antigenic selection compared to the faster-evolving CPV lineage. These patterns emphasize distinct evolutionary dynamics in reservoir versus new hosts during epidemic emergence.</p>
<p> Conclusion:<br />A single FPV-related lineage from Europe accumulated multiple capsid changes enabling canine TfR binding and gave rise to the CPV pandemic; thereafter CPV evolved approximately 3–4 times faster in dogs, while FPV in its reservoir hosts showed slow evolution with limited antigenic change and persistent vaccine-derived genomes in databases.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Distinct evolutionary patterns of endemic and emerging parvoviruses and the origin of a new pandemic virus</p>
<p> First author:<br />López-Astacio RA</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2515274123</p>
<p> Reference:<br />López-Astacio RA, Wasik BR, Lee H, Voorhees IEH, Weichert WS, Adu OF, Goodman LB, Hafenstein SL, Truyen U, Parrish CR. Distinct evolutionary patterns of endemic and emerging parvoviruses and the origin of a new pandemic virus. PNAS. 2026;123(16):e2515274123. doi:10.1073/pnas.2515274123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/feline-to-canine-parvovirus-origins</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing FPV reservoir, CPV emergence, TfR binding and glycosylation barriers, VP2/other capsid mutations, evolutionary rates, vaccine-derived FPV sequences, antigenic variation, intermediate hosts, and missing ancestral link.<br />- transcript topics: FPV feline reservoir and CPV emergence; Transferrin receptor binding and canine TfR glycosylation barrier; VP2 mutations and host-range adaptation; Evolutionary rates FPV vs CPV and molecular clock methods; Vaccine-derived FPV sequences and vaccine filtering; Antigenic variation in FPV vs CPV and vaccine efficacy</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CPV originated from European FPV lineage with host-range mutations enabling canine TfR binding<br />- CPV substitution rate in dogs is approximately 2.18×10^-4 substitutions/site/year; FPV in cats approximately 5.78×10^-5 substitutions/site/year<br />- Twelve nonsynonymous and ten synonymous substitutions on the CPV-2 branch; nine nonsynonymous substitutions occurred in VP2, with changes near the threefold spike affecting host ra<br />- FPV vaccine strains derive from 1960s isolates; many FPV-like sequences in databases are vaccine-derived or recombinant; vaccine-derived sequences can confound analyses<br />- FPV shows limited antigenic variation; CPV exhibits more antigenic variation, but vaccines remain broadly protective due to polyclonal responses<br />- Raccoons (and other noncanine hosts) proposed as intermediate hosts that could accumulate mutational combinations before canine adaptation</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[López-Astacio RA et al., PNAS - Analysis of 60 years of feline panleukopenia virus genomes traces the origins of canine parvovirus, identifies vaccine-derived sequences, and documents distinct evolutionary rates and capsid adaptations that enabled a host jump to dogs. Key terms: parvovirus, FPV, CPV, host jump, evolution.
 Study Highlights:Using full-genome sequencing and phylogenetics, the authors compare 60 years of FPV evolution with 47 years of CPV evolution and identify vaccine-derived sequences that cluster with early isolates. FPV evolves at roughly one-third the rate of CPV in dogs, while the CPV ancestor is closely related to European FPV-like strains and carries multiple capsid mutations linked to binding the canine transferrin receptor. Live-attenuated FPV vaccines derive from early 1960s isolates and FPV shows little antigenic selection compared to the faster-evolving CPV lineage. These patterns emphasize distinct evolutionary dynamics in reservoir versus new hosts during epidemic emergence.
 Conclusion:A single FPV-related lineage from Europe accumulated multiple capsid changes enabling canine TfR binding and gave rise to the CPV pandemic; thereafter CPV evolved approximately 3–4 times faster in dogs, while FPV in its reservoir hosts showed slow evolution with limited antigenic change and persistent vaccine-derived genomes in databases.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Distinct evolutionary patterns of endemic and emerging parvoviruses and the origin of a new pandemic virus
 First author:López-Astacio RA
 Journal:PNAS
 DOI:10.1073/pnas.2515274123
 Reference:López-Astacio RA, Wasik BR, Lee H, Voorhees IEH, Weichert WS, Adu OF, Goodman LB, Hafenstein SL, Truyen U, Parrish CR. Distinct evolutionary patterns of endemic and emerging parvoviruses and the origin of a new pandemic virus. PNAS. 2026;123(16):e2515274123. doi:10.1073/pnas.2515274123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/feline-to-canine-parvovirus-origins
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing FPV reservoir, CPV emergence, TfR binding and glycosylation barriers, VP2/other capsid mutations, evolutionary rates, vaccine-derived FPV sequences, antigenic variation, intermediate hosts, and missing ancestral link.- transcript topics: FPV feline reservoir and CPV emergence; Transferrin receptor binding and canine TfR glycosylation barrier; VP2 mutations and host-range adaptation; Evolutionary rates FPV vs CPV and molecular clock methods; Vaccine-derived FPV sequences and vaccine filtering; Antigenic variation in FPV vs CPV and vaccine efficacy
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CPV originated from European FPV lineage with host-range mutations enabling canine TfR binding- CPV subst...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2422690/c1a-p6xp7-5zqk8wkva5rr-dsvv7c.png"></itunes:image>
                                                                            <itunes:duration>00:13:48</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[342: Modular MPRA Reveals Context-Dependent Regulation at T2D Loci]]>
                </title>
                <pubDate>Tue, 14 Apr 2026 07:38:41 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2421915</guid>
                                    <link>https://basebybase.castos.com/episodes/modular-mpra-t2d-context-dependent-regulation</link>
                                <description>
                                            <![CDATA[<p>Tovar A et al., Human Genetics and Genomics Advances - This episode examines a study that used a modular MPRA to test ~11,656 genomic fragments from T2D- and metabolic trait-associated regions in pancreatic beta cells, comparing upstream vs downstream positions and SCP1 vs INS promoters. The work identifies promoter- and position-dependent regulatory activity and implicates HNF1 motifs in INS promoter-specific effects. Key terms: massively parallel reporter assay, type 2 diabetes, noncoding regulation, HNF1, promoter-enhancer compatibility.</p>
<p> Study Highlights:<br />The authors screened nearly 12,000 fragments across T2D- and metabolic trait-associated regions in a pancreatic beta cell model using four MPRA configurations (up/down × SCP1/INS). They found ~6% of fragments show significant promoter bias and ~6% show position bias, with INS-preferring fragments enriched for HNF1 motifs. Targeted motif perturbation MPRA showed HNF1 motif disruption reduced activity specifically in the INS promoter context and in beta cells but not in skeletal muscle, indicating cell-type and promoter-specific regulatory dependencies. The results highlight that MPRA construct design choices materially affect detection and interpretation of regulatory activity.</p>
<p> Conclusion:<br />Promoter identity and fragment position influence MPRA-detected regulatory activity, and tissue-specific promoters (like INS) can reveal TF-dependent regulatory mechanisms (e.g., HNF1) at T2D-linked noncoding regions.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Using a modular massively parallel reporter assay to discover context-dependent regulatory activity in type 2 diabetes-linked noncoding regions</p>
<p> First author:<br />Tovar A</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100606</p>
<p> Reference:<br />Tovar A, Kyono Y, Nishino K, Bose M, Varshney A, Parker SCJ, Kitzman JO. Using a modular massively parallel reporter assay to discover context-dependent regulatory activity in type 2 diabetes-linked noncoding regions. Human Genetics and Genomics Advances (2026). doi: https://doi.org/10.1016/j.xhgg.2026.100606</p>
<p> License:<br />http://creativecommons.org/licenses/by-nc-nd/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/modular-mpra-t2d-context-dependent-regulation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content describing MPRA design parameters, library size, cell models, promoter/position bias findings, HNF1 motif associations and perturbations, and cross-tissue results as presented in the transcript.<br />- transcript topics: MPRA design configurations (promoter: INS vs SCP1; position: upstream vs downstream); Library scale and construction (11,656 fragments; ~13,226 sites; 198-bp fragments with adapters); Cell models used (832/13 rat beta-cell line; LHCN-M2 human skeletal muscle cells); Promoter bias findings (INS promoter bias ~73.4%; 698 fragments promoter-biased); Position bias findings (703 fragments showing upstream/downstream bias); Motif enrichment and HNF1A/B associations with INS promoter activity</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- arti...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Tovar A et al., Human Genetics and Genomics Advances - This episode examines a study that used a modular MPRA to test ~11,656 genomic fragments from T2D- and metabolic trait-associated regions in pancreatic beta cells, comparing upstream vs downstream positions and SCP1 vs INS promoters. The work identifies promoter- and position-dependent regulatory activity and implicates HNF1 motifs in INS promoter-specific effects. Key terms: massively parallel reporter assay, type 2 diabetes, noncoding regulation, HNF1, promoter-enhancer compatibility.
 Study Highlights:The authors screened nearly 12,000 fragments across T2D- and metabolic trait-associated regions in a pancreatic beta cell model using four MPRA configurations (up/down × SCP1/INS). They found ~6% of fragments show significant promoter bias and ~6% show position bias, with INS-preferring fragments enriched for HNF1 motifs. Targeted motif perturbation MPRA showed HNF1 motif disruption reduced activity specifically in the INS promoter context and in beta cells but not in skeletal muscle, indicating cell-type and promoter-specific regulatory dependencies. The results highlight that MPRA construct design choices materially affect detection and interpretation of regulatory activity.
 Conclusion:Promoter identity and fragment position influence MPRA-detected regulatory activity, and tissue-specific promoters (like INS) can reveal TF-dependent regulatory mechanisms (e.g., HNF1) at T2D-linked noncoding regions.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Using a modular massively parallel reporter assay to discover context-dependent regulatory activity in type 2 diabetes-linked noncoding regions
 First author:Tovar A
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100606
 Reference:Tovar A, Kyono Y, Nishino K, Bose M, Varshney A, Parker SCJ, Kitzman JO. Using a modular massively parallel reporter assay to discover context-dependent regulatory activity in type 2 diabetes-linked noncoding regions. Human Genetics and Genomics Advances (2026). doi: https://doi.org/10.1016/j.xhgg.2026.100606
 License:http://creativecommons.org/licenses/by-nc-nd/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/modular-mpra-t2d-context-dependent-regulation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content describing MPRA design parameters, library size, cell models, promoter/position bias findings, HNF1 motif associations and perturbations, and cross-tissue results as presented in the transcript.- transcript topics: MPRA design configurations (promoter: INS vs SCP1; position: upstream vs downstream); Library scale and construction (11,656 fragments; ~13,226 sites; 198-bp fragments with adapters); Cell models used (832/13 rat beta-cell line; LHCN-M2 human skeletal muscle cells); Promoter bias findings (INS promoter bias ~73.4%; 698 fragments promoter-biased); Position bias findings (703 fragments showing upstream/downstream bias); Motif enrichment and HNF1A/B associations with INS promoter activity
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- arti...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[342: Modular MPRA Reveals Context-Dependent Regulation at T2D Loci]]>
                </itunes:title>
                                    <itunes:episode>342</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Tovar A et al., Human Genetics and Genomics Advances - This episode examines a study that used a modular MPRA to test ~11,656 genomic fragments from T2D- and metabolic trait-associated regions in pancreatic beta cells, comparing upstream vs downstream positions and SCP1 vs INS promoters. The work identifies promoter- and position-dependent regulatory activity and implicates HNF1 motifs in INS promoter-specific effects. Key terms: massively parallel reporter assay, type 2 diabetes, noncoding regulation, HNF1, promoter-enhancer compatibility.</p>
<p> Study Highlights:<br />The authors screened nearly 12,000 fragments across T2D- and metabolic trait-associated regions in a pancreatic beta cell model using four MPRA configurations (up/down × SCP1/INS). They found ~6% of fragments show significant promoter bias and ~6% show position bias, with INS-preferring fragments enriched for HNF1 motifs. Targeted motif perturbation MPRA showed HNF1 motif disruption reduced activity specifically in the INS promoter context and in beta cells but not in skeletal muscle, indicating cell-type and promoter-specific regulatory dependencies. The results highlight that MPRA construct design choices materially affect detection and interpretation of regulatory activity.</p>
<p> Conclusion:<br />Promoter identity and fragment position influence MPRA-detected regulatory activity, and tissue-specific promoters (like INS) can reveal TF-dependent regulatory mechanisms (e.g., HNF1) at T2D-linked noncoding regions.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Using a modular massively parallel reporter assay to discover context-dependent regulatory activity in type 2 diabetes-linked noncoding regions</p>
<p> First author:<br />Tovar A</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100606</p>
<p> Reference:<br />Tovar A, Kyono Y, Nishino K, Bose M, Varshney A, Parker SCJ, Kitzman JO. Using a modular massively parallel reporter assay to discover context-dependent regulatory activity in type 2 diabetes-linked noncoding regions. Human Genetics and Genomics Advances (2026). doi: https://doi.org/10.1016/j.xhgg.2026.100606</p>
<p> License:<br />http://creativecommons.org/licenses/by-nc-nd/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/modular-mpra-t2d-context-dependent-regulation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content describing MPRA design parameters, library size, cell models, promoter/position bias findings, HNF1 motif associations and perturbations, and cross-tissue results as presented in the transcript.<br />- transcript topics: MPRA design configurations (promoter: INS vs SCP1; position: upstream vs downstream); Library scale and construction (11,656 fragments; ~13,226 sites; 198-bp fragments with adapters); Cell models used (832/13 rat beta-cell line; LHCN-M2 human skeletal muscle cells); Promoter bias findings (INS promoter bias ~73.4%; 698 fragments promoter-biased); Position bias findings (703 fragments showing upstream/downstream bias); Motif enrichment and HNF1A/B associations with INS promoter activity</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license<br />- episode_title</p>
<p>Factual Items Audited:<br />- MPRA design configurations: upstream vs downstream relative to INS and SCP1 promoters<br />- Library size: ~11,656 fragments across 4 configurations (out of ~13,226 targeted sites)<br />- Cell models: 832/13 rat insulinoma beta cells and LHCN-M2 human skeletal muscle myoblasts<br />- Promoter bias: 698/11,656 fragments show significant promoter effects; INS bias ~73.4% of promoter-biased fragments<br />- Position bias: 703/11,656 fragments show significant upstream/downstream bias<br />- HNF1 motif enrichment among INS-promoter-biased fragments; NKX6.1 also involved</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Tovar A et al., Human Genetics and Genomics Advances - This episode examines a study that used a modular MPRA to test ~11,656 genomic fragments from T2D- and metabolic trait-associated regions in pancreatic beta cells, comparing upstream vs downstream positions and SCP1 vs INS promoters. The work identifies promoter- and position-dependent regulatory activity and implicates HNF1 motifs in INS promoter-specific effects. Key terms: massively parallel reporter assay, type 2 diabetes, noncoding regulation, HNF1, promoter-enhancer compatibility.
 Study Highlights:The authors screened nearly 12,000 fragments across T2D- and metabolic trait-associated regions in a pancreatic beta cell model using four MPRA configurations (up/down × SCP1/INS). They found ~6% of fragments show significant promoter bias and ~6% show position bias, with INS-preferring fragments enriched for HNF1 motifs. Targeted motif perturbation MPRA showed HNF1 motif disruption reduced activity specifically in the INS promoter context and in beta cells but not in skeletal muscle, indicating cell-type and promoter-specific regulatory dependencies. The results highlight that MPRA construct design choices materially affect detection and interpretation of regulatory activity.
 Conclusion:Promoter identity and fragment position influence MPRA-detected regulatory activity, and tissue-specific promoters (like INS) can reveal TF-dependent regulatory mechanisms (e.g., HNF1) at T2D-linked noncoding regions.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Using a modular massively parallel reporter assay to discover context-dependent regulatory activity in type 2 diabetes-linked noncoding regions
 First author:Tovar A
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100606
 Reference:Tovar A, Kyono Y, Nishino K, Bose M, Varshney A, Parker SCJ, Kitzman JO. Using a modular massively parallel reporter assay to discover context-dependent regulatory activity in type 2 diabetes-linked noncoding regions. Human Genetics and Genomics Advances (2026). doi: https://doi.org/10.1016/j.xhgg.2026.100606
 License:http://creativecommons.org/licenses/by-nc-nd/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/modular-mpra-t2d-context-dependent-regulation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content describing MPRA design parameters, library size, cell models, promoter/position bias findings, HNF1 motif associations and perturbations, and cross-tissue results as presented in the transcript.- transcript topics: MPRA design configurations (promoter: INS vs SCP1; position: upstream vs downstream); Library scale and construction (11,656 fragments; ~13,226 sites; 198-bp fragments with adapters); Cell models used (832/13 rat beta-cell line; LHCN-M2 human skeletal muscle cells); Promoter bias findings (INS promoter bias ~73.4%; 698 fragments promoter-biased); Position bias findings (703 fragments showing upstream/downstream bias); Motif enrichment and HNF1A/B associations with INS promoter activity
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- arti...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:17:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[341: The Genetic Lottery and the Value of an Extra Year of School]]>
                </title>
                <pubDate>Mon, 13 Apr 2026 09:10:52 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2420248</guid>
                                    <link>https://basebybase.castos.com/episodes/genetic-lottery-returns-to-education</link>
                                <description>
                                            <![CDATA[<p>Widding-Havneraas T et al., PNAS - This study uses genetic variation related to educational attainment as a quasi-experimental instrument (Mendelian randomization) together with Norwegian registry data to estimate the causal return to an additional year of schooling on labor-market earnings. Key terms: returns to education, Mendelian randomization, polygenic index, Norwegian registries, life-cycle earnings.</p>
<p> Study Highlights:<br />The authors triangulate OLS, sibling and twin fixed-effects, and Mendelian randomization (MR) using a 335-SNP polygenic index to estimate returns to schooling in Norwegian population and MoBa samples. OLS estimates an additional year of schooling raises prime-age earnings by about 5.9%, sibling FE by 5.3%, MZ twin FE by 3.3%, and MR by 8.0% (with a Norway-only MR estimate of 9.7%). Life-cycle analyses show negative early-career returns that turn positive around age 27 and grow thereafter. Internal rates of return across models exceed the market interest rate, indicating education is profitable over the life cycle.</p>
<p> Conclusion:<br />Using genetically informed quasi-experiments, one additional year of schooling causally increases annual earnings (MR ~8%), and education appears to pay off across the life cycle.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Estimating returns to education using the genetic lottery</p>
<p> First author:<br />Widding-Havneraas T</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2537049123</p>
<p> Reference:<br />Widding-Havneraas T, Demange PA, Zachrisson HD, Borgen N, Ystrom E, Elwert F. Estimating returns to education using the genetic lottery. PNAS. 2026;123(15):e2537049123. https://doi.org/10.1073/pnas.2537049123. Published April 8, 2026.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genetic-lottery-returns-to-education</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit focused on the episode’s discussion of methodology, key numerical results, lifecycle interpretation, and robustness checks as presented in the original article.<br />- transcript topics: Causality vs correlation in education and earnings; Mendelian randomization as a quasi-experiment; 335-SNP polygenic index as educational attainment instrument; Comparison across identification strategies: OLS, sibling, DZ/MZ twins, MR; Compliers and nonshared environments; Life-cycle returns and age-27 crossover</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license<br />- episode_title<br />- episode_number<br />- season</p>
<p>Factual Items Audited:<br />- MR estimate: 8.0% increase in lifetime earnings per additional year of schooling<br />- OLS estimate: 5.9% increase per additional year of schooling<br />- Norway-only MR estimate: 9.7% per additional year<br />- Internal rate of return (IRR) to schooling: 10.1%<br />- Crossover age where returns become positive: about age 27<br />- Women experience higher fin...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Widding-Havneraas T et al., PNAS - This study uses genetic variation related to educational attainment as a quasi-experimental instrument (Mendelian randomization) together with Norwegian registry data to estimate the causal return to an additional year of schooling on labor-market earnings. Key terms: returns to education, Mendelian randomization, polygenic index, Norwegian registries, life-cycle earnings.
 Study Highlights:The authors triangulate OLS, sibling and twin fixed-effects, and Mendelian randomization (MR) using a 335-SNP polygenic index to estimate returns to schooling in Norwegian population and MoBa samples. OLS estimates an additional year of schooling raises prime-age earnings by about 5.9%, sibling FE by 5.3%, MZ twin FE by 3.3%, and MR by 8.0% (with a Norway-only MR estimate of 9.7%). Life-cycle analyses show negative early-career returns that turn positive around age 27 and grow thereafter. Internal rates of return across models exceed the market interest rate, indicating education is profitable over the life cycle.
 Conclusion:Using genetically informed quasi-experiments, one additional year of schooling causally increases annual earnings (MR ~8%), and education appears to pay off across the life cycle.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Estimating returns to education using the genetic lottery
 First author:Widding-Havneraas T
 Journal:PNAS
 DOI:10.1073/pnas.2537049123
 Reference:Widding-Havneraas T, Demange PA, Zachrisson HD, Borgen N, Ystrom E, Elwert F. Estimating returns to education using the genetic lottery. PNAS. 2026;123(15):e2537049123. https://doi.org/10.1073/pnas.2537049123. Published April 8, 2026.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genetic-lottery-returns-to-education
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit focused on the episode’s discussion of methodology, key numerical results, lifecycle interpretation, and robustness checks as presented in the original article.- transcript topics: Causality vs correlation in education and earnings; Mendelian randomization as a quasi-experiment; 335-SNP polygenic index as educational attainment instrument; Comparison across identification strategies: OLS, sibling, DZ/MZ twins, MR; Compliers and nonshared environments; Life-cycle returns and age-27 crossover
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license- episode_title- episode_number- season
Factual Items Audited:- MR estimate: 8.0% increase in lifetime earnings per additional year of schooling- OLS estimate: 5.9% increase per additional year of schooling- Norway-only MR estimate: 9.7% per additional year- Internal rate of return (IRR) to schooling: 10.1%- Crossover age where returns become positive: about age 27- Women experience higher fin...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[341: The Genetic Lottery and the Value of an Extra Year of School]]>
                </itunes:title>
                                    <itunes:episode>341</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Widding-Havneraas T et al., PNAS - This study uses genetic variation related to educational attainment as a quasi-experimental instrument (Mendelian randomization) together with Norwegian registry data to estimate the causal return to an additional year of schooling on labor-market earnings. Key terms: returns to education, Mendelian randomization, polygenic index, Norwegian registries, life-cycle earnings.</p>
<p> Study Highlights:<br />The authors triangulate OLS, sibling and twin fixed-effects, and Mendelian randomization (MR) using a 335-SNP polygenic index to estimate returns to schooling in Norwegian population and MoBa samples. OLS estimates an additional year of schooling raises prime-age earnings by about 5.9%, sibling FE by 5.3%, MZ twin FE by 3.3%, and MR by 8.0% (with a Norway-only MR estimate of 9.7%). Life-cycle analyses show negative early-career returns that turn positive around age 27 and grow thereafter. Internal rates of return across models exceed the market interest rate, indicating education is profitable over the life cycle.</p>
<p> Conclusion:<br />Using genetically informed quasi-experiments, one additional year of schooling causally increases annual earnings (MR ~8%), and education appears to pay off across the life cycle.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Estimating returns to education using the genetic lottery</p>
<p> First author:<br />Widding-Havneraas T</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2537049123</p>
<p> Reference:<br />Widding-Havneraas T, Demange PA, Zachrisson HD, Borgen N, Ystrom E, Elwert F. Estimating returns to education using the genetic lottery. PNAS. 2026;123(15):e2537049123. https://doi.org/10.1073/pnas.2537049123. Published April 8, 2026.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genetic-lottery-returns-to-education</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit focused on the episode’s discussion of methodology, key numerical results, lifecycle interpretation, and robustness checks as presented in the original article.<br />- transcript topics: Causality vs correlation in education and earnings; Mendelian randomization as a quasi-experiment; 335-SNP polygenic index as educational attainment instrument; Comparison across identification strategies: OLS, sibling, DZ/MZ twins, MR; Compliers and nonshared environments; Life-cycle returns and age-27 crossover</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license<br />- episode_title<br />- episode_number<br />- season</p>
<p>Factual Items Audited:<br />- MR estimate: 8.0% increase in lifetime earnings per additional year of schooling<br />- OLS estimate: 5.9% increase per additional year of schooling<br />- Norway-only MR estimate: 9.7% per additional year<br />- Internal rate of return (IRR) to schooling: 10.1%<br />- Crossover age where returns become positive: about age 27<br />- Women experience higher financial returns to schooling than men</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Widding-Havneraas T et al., PNAS - This study uses genetic variation related to educational attainment as a quasi-experimental instrument (Mendelian randomization) together with Norwegian registry data to estimate the causal return to an additional year of schooling on labor-market earnings. Key terms: returns to education, Mendelian randomization, polygenic index, Norwegian registries, life-cycle earnings.
 Study Highlights:The authors triangulate OLS, sibling and twin fixed-effects, and Mendelian randomization (MR) using a 335-SNP polygenic index to estimate returns to schooling in Norwegian population and MoBa samples. OLS estimates an additional year of schooling raises prime-age earnings by about 5.9%, sibling FE by 5.3%, MZ twin FE by 3.3%, and MR by 8.0% (with a Norway-only MR estimate of 9.7%). Life-cycle analyses show negative early-career returns that turn positive around age 27 and grow thereafter. Internal rates of return across models exceed the market interest rate, indicating education is profitable over the life cycle.
 Conclusion:Using genetically informed quasi-experiments, one additional year of schooling causally increases annual earnings (MR ~8%), and education appears to pay off across the life cycle.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Estimating returns to education using the genetic lottery
 First author:Widding-Havneraas T
 Journal:PNAS
 DOI:10.1073/pnas.2537049123
 Reference:Widding-Havneraas T, Demange PA, Zachrisson HD, Borgen N, Ystrom E, Elwert F. Estimating returns to education using the genetic lottery. PNAS. 2026;123(15):e2537049123. https://doi.org/10.1073/pnas.2537049123. Published April 8, 2026.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genetic-lottery-returns-to-education
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit focused on the episode’s discussion of methodology, key numerical results, lifecycle interpretation, and robustness checks as presented in the original article.- transcript topics: Causality vs correlation in education and earnings; Mendelian randomization as a quasi-experiment; 335-SNP polygenic index as educational attainment instrument; Comparison across identification strategies: OLS, sibling, DZ/MZ twins, MR; Compliers and nonshared environments; Life-cycle returns and age-27 crossover
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license- episode_title- episode_number- season
Factual Items Audited:- MR estimate: 8.0% increase in lifetime earnings per additional year of schooling- OLS estimate: 5.9% increase per additional year of schooling- Norway-only MR estimate: 9.7% per additional year- Internal rate of return (IRR) to schooling: 10.1%- Crossover age where returns become positive: about age 27- Women experience higher fin...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:29:43</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[340: Microexon Control of Behavior — PTPRD Splicing]]>
                </title>
                <pubDate>Sun, 12 Apr 2026 10:19:03 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2419655</guid>
                                    <link>https://basebybase.castos.com/episodes/ptprd-microexon-ep340</link>
                                <description>
                                            <![CDATA[<p>Imai A et al., Proceedings of the National Academy of Sciences (PNAS) - This paper shows that alternative splicing of a 12-nt microexon (meB) in Ptprd is regulated by a genetic intronic enhancer and an activity-dependent intronic silencer to set region- and age-specific ratios of PTPRD splice variants. Manipulating these intronic elements in mice changes the proportion of meB-containing isoforms without altering total PTPRD protein and produces distinct behavioral consequences. Key terms: microexon, alternative splicing, PTPRD, synaptogenesis, behavior.</p>
<p> Study Highlights:<br />The authors mapped eight Ptprd splice variants across brain regions and ages and found neuronal activity induces rapid meB skipping. They identified a 316-bp intronic splicing enhancer (ISE) whose heterozygous deletion reduced meB selection by ~25% and caused broad sensory, motor, social, and emotional deficits. They also identified a 420-bp intronic splicing silencer (ISS) required for activity-dependent meB skipping; deletion of the ISS produced selective impairments in motor learning and remote cued fear memory. These results indicate that the spatiotemporal and activity-dependent AS code of a four–amino-acid microexon sculpts synaptogenic properties and behavioral development.</p>
<p> Conclusion:<br />Spatiotemporal and activity-dependent alternative splicing of a single four–amino-acid microexon in Ptprd controls the balance of PTPRD splice variants and is essential for normal behavioral development in mice.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Alternative microexon splicing code for a four - amino acid peptide of PTPRD governs behavioral development</p>
<p> First author:<br />Imai A</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2515310123</p>
<p> Reference:<br />Imai A, Izumi H, Ito N, et al. Alternative microexon splicing code for a four-amino acid peptide of PTPRD governs behavioral development. Proc Natl Acad Sci U S A. 2026;123(15):e2515310123. doi:10.1073/pnas.2515310123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ptprd-microexon-ep340</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific narrative in the transcript related to Ptprd microexon meB regulation, the regulatory elements ISE and ISS, bead-coculture experiments, in vivo CRISPR mouse models (ISE and ISS mutations), activity-dependent skipping, and the resulting behavioral and learning/memory phenotypes, as well as the pro<br />- transcript topics: Ptprd microexon meA3, meA6, meB and eight splice variants; Bead coculture assay to test synaptogenicity and ligand interactions (Shank2, gephyrin, NLGN3); Genetic regulation of meB: intronic splicing enhancer (ISE); Activity-dependent regulation of meB: intronic splicing silencer (ISS); In vivo CRISPR mouse models: Ptprd+/dISE, PtprddISE/dISE, PtprddISS/dISS; Neuronal activity and rapid meB skipping (1 hour after KCl)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Imai A et al., Proceedings of the National Academy of Sciences (PNAS) - This paper shows that alternative splicing of a 12-nt microexon (meB) in Ptprd is regulated by a genetic intronic enhancer and an activity-dependent intronic silencer to set region- and age-specific ratios of PTPRD splice variants. Manipulating these intronic elements in mice changes the proportion of meB-containing isoforms without altering total PTPRD protein and produces distinct behavioral consequences. Key terms: microexon, alternative splicing, PTPRD, synaptogenesis, behavior.
 Study Highlights:The authors mapped eight Ptprd splice variants across brain regions and ages and found neuronal activity induces rapid meB skipping. They identified a 316-bp intronic splicing enhancer (ISE) whose heterozygous deletion reduced meB selection by ~25% and caused broad sensory, motor, social, and emotional deficits. They also identified a 420-bp intronic splicing silencer (ISS) required for activity-dependent meB skipping; deletion of the ISS produced selective impairments in motor learning and remote cued fear memory. These results indicate that the spatiotemporal and activity-dependent AS code of a four–amino-acid microexon sculpts synaptogenic properties and behavioral development.
 Conclusion:Spatiotemporal and activity-dependent alternative splicing of a single four–amino-acid microexon in Ptprd controls the balance of PTPRD splice variants and is essential for normal behavioral development in mice.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Alternative microexon splicing code for a four - amino acid peptide of PTPRD governs behavioral development
 First author:Imai A
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2515310123
 Reference:Imai A, Izumi H, Ito N, et al. Alternative microexon splicing code for a four-amino acid peptide of PTPRD governs behavioral development. Proc Natl Acad Sci U S A. 2026;123(15):e2515310123. doi:10.1073/pnas.2515310123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ptprd-microexon-ep340
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific narrative in the transcript related to Ptprd microexon meB regulation, the regulatory elements ISE and ISS, bead-coculture experiments, in vivo CRISPR mouse models (ISE and ISS mutations), activity-dependent skipping, and the resulting behavioral and learning/memory phenotypes, as well as the pro- transcript topics: Ptprd microexon meA3, meA6, meB and eight splice variants; Bead coculture assay to test synaptogenicity and ligand interactions (Shank2, gephyrin, NLGN3); Genetic regulation of meB: intronic splicing enhancer (ISE); Activity-dependent regulation of meB: intronic splicing silencer (ISS); In vivo CRISPR mouse models: Ptprd+/dISE, PtprddISE/dISE, PtprddISS/dISS; Neuronal activity and rapid meB skipping (1 hour after KCl)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[340: Microexon Control of Behavior — PTPRD Splicing]]>
                </itunes:title>
                                    <itunes:episode>340</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Imai A et al., Proceedings of the National Academy of Sciences (PNAS) - This paper shows that alternative splicing of a 12-nt microexon (meB) in Ptprd is regulated by a genetic intronic enhancer and an activity-dependent intronic silencer to set region- and age-specific ratios of PTPRD splice variants. Manipulating these intronic elements in mice changes the proportion of meB-containing isoforms without altering total PTPRD protein and produces distinct behavioral consequences. Key terms: microexon, alternative splicing, PTPRD, synaptogenesis, behavior.</p>
<p> Study Highlights:<br />The authors mapped eight Ptprd splice variants across brain regions and ages and found neuronal activity induces rapid meB skipping. They identified a 316-bp intronic splicing enhancer (ISE) whose heterozygous deletion reduced meB selection by ~25% and caused broad sensory, motor, social, and emotional deficits. They also identified a 420-bp intronic splicing silencer (ISS) required for activity-dependent meB skipping; deletion of the ISS produced selective impairments in motor learning and remote cued fear memory. These results indicate that the spatiotemporal and activity-dependent AS code of a four–amino-acid microexon sculpts synaptogenic properties and behavioral development.</p>
<p> Conclusion:<br />Spatiotemporal and activity-dependent alternative splicing of a single four–amino-acid microexon in Ptprd controls the balance of PTPRD splice variants and is essential for normal behavioral development in mice.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Alternative microexon splicing code for a four - amino acid peptide of PTPRD governs behavioral development</p>
<p> First author:<br />Imai A</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2515310123</p>
<p> Reference:<br />Imai A, Izumi H, Ito N, et al. Alternative microexon splicing code for a four-amino acid peptide of PTPRD governs behavioral development. Proc Natl Acad Sci U S A. 2026;123(15):e2515310123. doi:10.1073/pnas.2515310123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ptprd-microexon-ep340</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific narrative in the transcript related to Ptprd microexon meB regulation, the regulatory elements ISE and ISS, bead-coculture experiments, in vivo CRISPR mouse models (ISE and ISS mutations), activity-dependent skipping, and the resulting behavioral and learning/memory phenotypes, as well as the pro<br />- transcript topics: Ptprd microexon meA3, meA6, meB and eight splice variants; Bead coculture assay to test synaptogenicity and ligand interactions (Shank2, gephyrin, NLGN3); Genetic regulation of meB: intronic splicing enhancer (ISE); Activity-dependent regulation of meB: intronic splicing silencer (ISS); In vivo CRISPR mouse models: Ptprd+/dISE, PtprddISE/dISE, PtprddISS/dISS; Neuronal activity and rapid meB skipping (1 hour after KCl)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Eight Ptprd splice variants arise from combinations of meA3, meA6, and meB, with region- and age-specific distributions<br />- An upstream intronic splicing enhancer (ISE) of Ptprd meB regulates inclusion; its deletion reduces meB selection by about 25% with no change to total PTPRD<br />- An activity-dependent intronic splicing silencer (ISS) regulates meB skipping; deletion increases meB exclusion to near 100% and impairs motor learning and remote fear memory<br />- Neuronal activity (KCl) rapidly increases meB skipping within 1 hour<br />- A 50% reduction in total PTPRD with normal splice ratios yields fewer behavioral abnormalities than a 25% shift in splice ratio<br />- Dysregulation of Ptprd microexons is linked to ASD-like phenotypes and may be therapeutically targetable via splicing ratio modulation</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Imai A et al., Proceedings of the National Academy of Sciences (PNAS) - This paper shows that alternative splicing of a 12-nt microexon (meB) in Ptprd is regulated by a genetic intronic enhancer and an activity-dependent intronic silencer to set region- and age-specific ratios of PTPRD splice variants. Manipulating these intronic elements in mice changes the proportion of meB-containing isoforms without altering total PTPRD protein and produces distinct behavioral consequences. Key terms: microexon, alternative splicing, PTPRD, synaptogenesis, behavior.
 Study Highlights:The authors mapped eight Ptprd splice variants across brain regions and ages and found neuronal activity induces rapid meB skipping. They identified a 316-bp intronic splicing enhancer (ISE) whose heterozygous deletion reduced meB selection by ~25% and caused broad sensory, motor, social, and emotional deficits. They also identified a 420-bp intronic splicing silencer (ISS) required for activity-dependent meB skipping; deletion of the ISS produced selective impairments in motor learning and remote cued fear memory. These results indicate that the spatiotemporal and activity-dependent AS code of a four–amino-acid microexon sculpts synaptogenic properties and behavioral development.
 Conclusion:Spatiotemporal and activity-dependent alternative splicing of a single four–amino-acid microexon in Ptprd controls the balance of PTPRD splice variants and is essential for normal behavioral development in mice.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Alternative microexon splicing code for a four - amino acid peptide of PTPRD governs behavioral development
 First author:Imai A
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2515310123
 Reference:Imai A, Izumi H, Ito N, et al. Alternative microexon splicing code for a four-amino acid peptide of PTPRD governs behavioral development. Proc Natl Acad Sci U S A. 2026;123(15):e2515310123. doi:10.1073/pnas.2515310123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ptprd-microexon-ep340
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific narrative in the transcript related to Ptprd microexon meB regulation, the regulatory elements ISE and ISS, bead-coculture experiments, in vivo CRISPR mouse models (ISE and ISS mutations), activity-dependent skipping, and the resulting behavioral and learning/memory phenotypes, as well as the pro- transcript topics: Ptprd microexon meA3, meA6, meB and eight splice variants; Bead coculture assay to test synaptogenicity and ligand interactions (Shank2, gephyrin, NLGN3); Genetic regulation of meB: intronic splicing enhancer (ISE); Activity-dependent regulation of meB: intronic splicing silencer (ISS); In vivo CRISPR mouse models: Ptprd+/dISE, PtprddISE/dISE, PtprddISS/dISS; Neuronal activity and rapid meB skipping (1 hour after KCl)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2419655/c1a-p6xp7-gpjk8r90fxk-5bkvwj.png"></itunes:image>
                                                                            <itunes:duration>00:17:01</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[339: cxt: A language model for population genetics]]>
                </title>
                <pubDate>Sat, 11 Apr 2026 18:05:29 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2419336</guid>
                                    <link>https://basebybase.castos.com/episodes/cxt-language-model-for-population-genetics</link>
                                <description>
                                            <![CDATA[<p>Korfmann K et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines cxt, a decoder-only transformer that performs next-coalescence prediction by translating local mutational context into pairwise TMRCA estimates. Trained on stdpopsim simulations, cxt delivers rapid, scalable coalescence-time inference, calibrated posteriors, and practical adaptations for empirical data. Key terms: language models, coalescent theory, uncertainty, stdpopsim, simulation-based inference.</p>
<p> Study Highlights:<br />The authors develop cxt, an autoregressive transformer that predicts discretized pairwise coalescence times from SFS-weighted mutation windows, framing TMRCA inference as a translation task. Trained on extensive stdpopsim simulations, cxt matches state-of-the-art accuracy in well-specified settings and generalizes to many out-of-sample species with some loss of accuracy. The model produces well-calibrated approximate posteriors, enables rapid GPU inference (millions of predictions in minutes), and can be fine-tuned or adapted for large Ne, missing data, or small sample sizes. Applications to human and Anopheles genomes recover known signals at LCT, HLA, inversion regions, and the Rdl insecticide-resistance locus.</p>
<p> Conclusion:<br />cxt reframes coalescent inference as a language-modeling problem, providing a fast, scalable, and adaptable tool that learns priors from simulations to infer local TMRCA and aggregate demography while offering uncertainty quantification through approximate posteriors.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Accessible, realistic genome simulation with selection using stdpopsim</p>
<p> First author:<br />Korfmann K</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2518956123</p>
<p> Reference:<br />Korfmann K., Pope N. S., Meleghy M., Tellier A., Kern A. D. Coalescence and translation: A language model for population genetics. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2518956123. doi:10.1073/pnas.2518956123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cxt-language-model-for-population-genetics</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing the cxt model (architecture and next-coalescence prediction), training on stdpopsim, performance benchmarks, generalization to unseen species, empirical data applications (LCT, HLA, Rdl), missing data handling/adapters, and environmental considerations.<br />- transcript topics: ARG basics and coalescent theory as context; cxt architecture: decoder-only transformer and next-coalescence prediction; input encoding: mutational densities, SFS, rotary embeddings; training data: stdpopsim simulations and catalog breadth; benchmark comparisons: Singer+Polegon and SMC++; generalization to stdpopsim v0.3 and unseen species</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- licens...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Korfmann K et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines cxt, a decoder-only transformer that performs next-coalescence prediction by translating local mutational context into pairwise TMRCA estimates. Trained on stdpopsim simulations, cxt delivers rapid, scalable coalescence-time inference, calibrated posteriors, and practical adaptations for empirical data. Key terms: language models, coalescent theory, uncertainty, stdpopsim, simulation-based inference.
 Study Highlights:The authors develop cxt, an autoregressive transformer that predicts discretized pairwise coalescence times from SFS-weighted mutation windows, framing TMRCA inference as a translation task. Trained on extensive stdpopsim simulations, cxt matches state-of-the-art accuracy in well-specified settings and generalizes to many out-of-sample species with some loss of accuracy. The model produces well-calibrated approximate posteriors, enables rapid GPU inference (millions of predictions in minutes), and can be fine-tuned or adapted for large Ne, missing data, or small sample sizes. Applications to human and Anopheles genomes recover known signals at LCT, HLA, inversion regions, and the Rdl insecticide-resistance locus.
 Conclusion:cxt reframes coalescent inference as a language-modeling problem, providing a fast, scalable, and adaptable tool that learns priors from simulations to infer local TMRCA and aggregate demography while offering uncertainty quantification through approximate posteriors.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Accessible, realistic genome simulation with selection using stdpopsim
 First author:Korfmann K
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2518956123
 Reference:Korfmann K., Pope N. S., Meleghy M., Tellier A., Kern A. D. Coalescence and translation: A language model for population genetics. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2518956123. doi:10.1073/pnas.2518956123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cxt-language-model-for-population-genetics
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing the cxt model (architecture and next-coalescence prediction), training on stdpopsim, performance benchmarks, generalization to unseen species, empirical data applications (LCT, HLA, Rdl), missing data handling/adapters, and environmental considerations.- transcript topics: ARG basics and coalescent theory as context; cxt architecture: decoder-only transformer and next-coalescence prediction; input encoding: mutational densities, SFS, rotary embeddings; training data: stdpopsim simulations and catalog breadth; benchmark comparisons: Singer+Polegon and SMC++; generalization to stdpopsim v0.3 and unseen species
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- licens...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[339: cxt: A language model for population genetics]]>
                </itunes:title>
                                    <itunes:episode>339</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Korfmann K et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines cxt, a decoder-only transformer that performs next-coalescence prediction by translating local mutational context into pairwise TMRCA estimates. Trained on stdpopsim simulations, cxt delivers rapid, scalable coalescence-time inference, calibrated posteriors, and practical adaptations for empirical data. Key terms: language models, coalescent theory, uncertainty, stdpopsim, simulation-based inference.</p>
<p> Study Highlights:<br />The authors develop cxt, an autoregressive transformer that predicts discretized pairwise coalescence times from SFS-weighted mutation windows, framing TMRCA inference as a translation task. Trained on extensive stdpopsim simulations, cxt matches state-of-the-art accuracy in well-specified settings and generalizes to many out-of-sample species with some loss of accuracy. The model produces well-calibrated approximate posteriors, enables rapid GPU inference (millions of predictions in minutes), and can be fine-tuned or adapted for large Ne, missing data, or small sample sizes. Applications to human and Anopheles genomes recover known signals at LCT, HLA, inversion regions, and the Rdl insecticide-resistance locus.</p>
<p> Conclusion:<br />cxt reframes coalescent inference as a language-modeling problem, providing a fast, scalable, and adaptable tool that learns priors from simulations to infer local TMRCA and aggregate demography while offering uncertainty quantification through approximate posteriors.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Accessible, realistic genome simulation with selection using stdpopsim</p>
<p> First author:<br />Korfmann K</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2518956123</p>
<p> Reference:<br />Korfmann K., Pope N. S., Meleghy M., Tellier A., Kern A. D. Coalescence and translation: A language model for population genetics. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2518956123. doi:10.1073/pnas.2518956123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cxt-language-model-for-population-genetics</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing the cxt model (architecture and next-coalescence prediction), training on stdpopsim, performance benchmarks, generalization to unseen species, empirical data applications (LCT, HLA, Rdl), missing data handling/adapters, and environmental considerations.<br />- transcript topics: ARG basics and coalescent theory as context; cxt architecture: decoder-only transformer and next-coalescence prediction; input encoding: mutational densities, SFS, rotary embeddings; training data: stdpopsim simulations and catalog breadth; benchmark comparisons: Singer+Polegon and SMC++; generalization to stdpopsim v0.3 and unseen species</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- cxt is a decoder-only transformer that autoregressively predicts local coalescence times (TMRCA) via next-coalescence prediction<br />- Trained on stdpopsim simulations; generalizes across demographies, including unseen species<br />- Inference is fast (millions of TMRCAs in minutes) on a single NVIDIA A100 GPU<br />- cxt yields well-calibrated approximate posteriors for TMRCA<br />- Compared to Singer+Polegon and SMC++, cxt is competitive and often superior in well-specified/out-of-distribution scenarios<br />- Empirical data show clear LCT and HLA signals in humans and Rdl dynamics in Anopheles; missing data handling improves robustness</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Korfmann K et al., Proceedings of the National Academy of Sciences (PNAS) - This episode examines cxt, a decoder-only transformer that performs next-coalescence prediction by translating local mutational context into pairwise TMRCA estimates. Trained on stdpopsim simulations, cxt delivers rapid, scalable coalescence-time inference, calibrated posteriors, and practical adaptations for empirical data. Key terms: language models, coalescent theory, uncertainty, stdpopsim, simulation-based inference.
 Study Highlights:The authors develop cxt, an autoregressive transformer that predicts discretized pairwise coalescence times from SFS-weighted mutation windows, framing TMRCA inference as a translation task. Trained on extensive stdpopsim simulations, cxt matches state-of-the-art accuracy in well-specified settings and generalizes to many out-of-sample species with some loss of accuracy. The model produces well-calibrated approximate posteriors, enables rapid GPU inference (millions of predictions in minutes), and can be fine-tuned or adapted for large Ne, missing data, or small sample sizes. Applications to human and Anopheles genomes recover known signals at LCT, HLA, inversion regions, and the Rdl insecticide-resistance locus.
 Conclusion:cxt reframes coalescent inference as a language-modeling problem, providing a fast, scalable, and adaptable tool that learns priors from simulations to infer local TMRCA and aggregate demography while offering uncertainty quantification through approximate posteriors.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Accessible, realistic genome simulation with selection using stdpopsim
 First author:Korfmann K
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2518956123
 Reference:Korfmann K., Pope N. S., Meleghy M., Tellier A., Kern A. D. Coalescence and translation: A language model for population genetics. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2518956123. doi:10.1073/pnas.2518956123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cxt-language-model-for-population-genetics
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing the cxt model (architecture and next-coalescence prediction), training on stdpopsim, performance benchmarks, generalization to unseen species, empirical data applications (LCT, HLA, Rdl), missing data handling/adapters, and environmental considerations.- transcript topics: ARG basics and coalescent theory as context; cxt architecture: decoder-only transformer and next-coalescence prediction; input encoding: mutational densities, SFS, rotary embeddings; training data: stdpopsim simulations and catalog breadth; benchmark comparisons: Singer+Polegon and SMC++; generalization to stdpopsim v0.3 and unseen species
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- licens...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2419336/c1a-p6xp7-9jg0o63ru7x-ywxtwr.png"></itunes:image>
                                                                            <itunes:duration>00:22:39</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[338: WDHD1 and Microcephalic Primordial Dwarfism]]>
                </title>
                <pubDate>Fri, 10 Apr 2026 15:38:15 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2418691</guid>
                                    <link>https://basebybase.castos.com/episodes/wdhd1-microcephalic-primordial-dwarfism</link>
                                <description>
                                            <![CDATA[<p>Tibbe D et al., The American Journal of Human Genetics - This study identifies bi-allelic hypomorphic WDHD1 variants in 17 subjects with a clinical spectrum from fetal lethality to microcephalic primordial dwarfism and characterizes cellular defects in patient-derived cells linked to replisome dysfunction. Key terms: WDHD1, microcephalic primordial dwarfism, replication stress, sister chromatid cohesion, splicing variants.</p>
<p> Study Highlights:<br />Researchers found bi-allelic WDHD1 variants in 17 subjects presenting with intrauterine growth retardation, microcephaly and a spectrum of organ abnormalities including neonatal acute liver failure. Several intronic variants cause aberrant splicing and markedly reduced WDHD1 protein levels in fibroblasts. Subject-derived cells showed slowed replication fork progression, impaired G1-to-S transition, increased spontaneous DNA damage, abnormal nuclear morphology, and elevated premature sister chromatid separation, supporting a role for WDHD1 in replisome stability and cohesion.</p>
<p> Conclusion:<br />Hypomorphic bi-allelic WDHD1 variants cause an autosomal recessive microcephalic primordial dwarfism spectrum by reducing WDHD1 protein and impairing replication fork stability, genome integrity, and sister chromatid cohesion, establishing WDHD1 as essential for normal human growth and development.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic WDHD1 variants cause microcephalic primordial dwarfism</p>
<p> First author:<br />Tibbe D</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.03.010</p>
<p> Reference:<br />Tibbe D., Vogt M.R., Holling T., et al. Bi-allelic WDHD1 variants cause microcephalic primordial dwarfism. The American Journal of Human Genetics. 2026. https://doi.org/10.1016/j.ajhg.2026.03.010</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/wdhd1-microcephalic-primordial-dwarfism</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of WDHD1 function as replisome scaffold; intronic WDHD1 variants and splicing; DNA fiber assay and replication fork dynamics; γH2AX signaling; nuclear morphology; PCS; and liver pathology in MPD.<br />- transcript topics: WDHD1 as replisome scaffold; intronic WDHD1 variants and splicing; DNA fiber assay and replication fork speed; γH2AX DNA damage signaling; nuclear morphology and lamin B1; premature sister chromatid separation (PCS)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 17 subjects from 14 families with bi-allelic WDHD1 variants and MPD spectrum<br />- intronic WDHD1 variants cause aberrant splicing and markedly reduced WDHD1 protein levels in patient-derived cells<br />- WDHD1 acts as replisome scaffolding to stabilize replication forks and maintain genome integrity<br />- replication fork progression is slowed and there is increased sp...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Tibbe D et al., The American Journal of Human Genetics - This study identifies bi-allelic hypomorphic WDHD1 variants in 17 subjects with a clinical spectrum from fetal lethality to microcephalic primordial dwarfism and characterizes cellular defects in patient-derived cells linked to replisome dysfunction. Key terms: WDHD1, microcephalic primordial dwarfism, replication stress, sister chromatid cohesion, splicing variants.
 Study Highlights:Researchers found bi-allelic WDHD1 variants in 17 subjects presenting with intrauterine growth retardation, microcephaly and a spectrum of organ abnormalities including neonatal acute liver failure. Several intronic variants cause aberrant splicing and markedly reduced WDHD1 protein levels in fibroblasts. Subject-derived cells showed slowed replication fork progression, impaired G1-to-S transition, increased spontaneous DNA damage, abnormal nuclear morphology, and elevated premature sister chromatid separation, supporting a role for WDHD1 in replisome stability and cohesion.
 Conclusion:Hypomorphic bi-allelic WDHD1 variants cause an autosomal recessive microcephalic primordial dwarfism spectrum by reducing WDHD1 protein and impairing replication fork stability, genome integrity, and sister chromatid cohesion, establishing WDHD1 as essential for normal human growth and development.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic WDHD1 variants cause microcephalic primordial dwarfism
 First author:Tibbe D
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.03.010
 Reference:Tibbe D., Vogt M.R., Holling T., et al. Bi-allelic WDHD1 variants cause microcephalic primordial dwarfism. The American Journal of Human Genetics. 2026. https://doi.org/10.1016/j.ajhg.2026.03.010
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/wdhd1-microcephalic-primordial-dwarfism
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of WDHD1 function as replisome scaffold; intronic WDHD1 variants and splicing; DNA fiber assay and replication fork dynamics; γH2AX signaling; nuclear morphology; PCS; and liver pathology in MPD.- transcript topics: WDHD1 as replisome scaffold; intronic WDHD1 variants and splicing; DNA fiber assay and replication fork speed; γH2AX DNA damage signaling; nuclear morphology and lamin B1; premature sister chromatid separation (PCS)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 17 subjects from 14 families with bi-allelic WDHD1 variants and MPD spectrum- intronic WDHD1 variants cause aberrant splicing and markedly reduced WDHD1 protein levels in patient-derived cells- WDHD1 acts as replisome scaffolding to stabilize replication forks and maintain genome integrity- replication fork progression is slowed and there is increased sp...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[338: WDHD1 and Microcephalic Primordial Dwarfism]]>
                </itunes:title>
                                    <itunes:episode>338</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Tibbe D et al., The American Journal of Human Genetics - This study identifies bi-allelic hypomorphic WDHD1 variants in 17 subjects with a clinical spectrum from fetal lethality to microcephalic primordial dwarfism and characterizes cellular defects in patient-derived cells linked to replisome dysfunction. Key terms: WDHD1, microcephalic primordial dwarfism, replication stress, sister chromatid cohesion, splicing variants.</p>
<p> Study Highlights:<br />Researchers found bi-allelic WDHD1 variants in 17 subjects presenting with intrauterine growth retardation, microcephaly and a spectrum of organ abnormalities including neonatal acute liver failure. Several intronic variants cause aberrant splicing and markedly reduced WDHD1 protein levels in fibroblasts. Subject-derived cells showed slowed replication fork progression, impaired G1-to-S transition, increased spontaneous DNA damage, abnormal nuclear morphology, and elevated premature sister chromatid separation, supporting a role for WDHD1 in replisome stability and cohesion.</p>
<p> Conclusion:<br />Hypomorphic bi-allelic WDHD1 variants cause an autosomal recessive microcephalic primordial dwarfism spectrum by reducing WDHD1 protein and impairing replication fork stability, genome integrity, and sister chromatid cohesion, establishing WDHD1 as essential for normal human growth and development.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic WDHD1 variants cause microcephalic primordial dwarfism</p>
<p> First author:<br />Tibbe D</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.03.010</p>
<p> Reference:<br />Tibbe D., Vogt M.R., Holling T., et al. Bi-allelic WDHD1 variants cause microcephalic primordial dwarfism. The American Journal of Human Genetics. 2026. https://doi.org/10.1016/j.ajhg.2026.03.010</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/wdhd1-microcephalic-primordial-dwarfism</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of WDHD1 function as replisome scaffold; intronic WDHD1 variants and splicing; DNA fiber assay and replication fork dynamics; γH2AX signaling; nuclear morphology; PCS; and liver pathology in MPD.<br />- transcript topics: WDHD1 as replisome scaffold; intronic WDHD1 variants and splicing; DNA fiber assay and replication fork speed; γH2AX DNA damage signaling; nuclear morphology and lamin B1; premature sister chromatid separation (PCS)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 17 subjects from 14 families with bi-allelic WDHD1 variants and MPD spectrum<br />- intronic WDHD1 variants cause aberrant splicing and markedly reduced WDHD1 protein levels in patient-derived cells<br />- WDHD1 acts as replisome scaffolding to stabilize replication forks and maintain genome integrity<br />- replication fork progression is slowed and there is increased spontaneous DNA damage (γH2AX); nuclear morphology is disrupted; PCS increased<br />- acute liver failure observed in a subset of neonatal subjects; liver vulnerability discussed in the context of replication stress and polyploidization</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Tibbe D et al., The American Journal of Human Genetics - This study identifies bi-allelic hypomorphic WDHD1 variants in 17 subjects with a clinical spectrum from fetal lethality to microcephalic primordial dwarfism and characterizes cellular defects in patient-derived cells linked to replisome dysfunction. Key terms: WDHD1, microcephalic primordial dwarfism, replication stress, sister chromatid cohesion, splicing variants.
 Study Highlights:Researchers found bi-allelic WDHD1 variants in 17 subjects presenting with intrauterine growth retardation, microcephaly and a spectrum of organ abnormalities including neonatal acute liver failure. Several intronic variants cause aberrant splicing and markedly reduced WDHD1 protein levels in fibroblasts. Subject-derived cells showed slowed replication fork progression, impaired G1-to-S transition, increased spontaneous DNA damage, abnormal nuclear morphology, and elevated premature sister chromatid separation, supporting a role for WDHD1 in replisome stability and cohesion.
 Conclusion:Hypomorphic bi-allelic WDHD1 variants cause an autosomal recessive microcephalic primordial dwarfism spectrum by reducing WDHD1 protein and impairing replication fork stability, genome integrity, and sister chromatid cohesion, establishing WDHD1 as essential for normal human growth and development.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic WDHD1 variants cause microcephalic primordial dwarfism
 First author:Tibbe D
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.03.010
 Reference:Tibbe D., Vogt M.R., Holling T., et al. Bi-allelic WDHD1 variants cause microcephalic primordial dwarfism. The American Journal of Human Genetics. 2026. https://doi.org/10.1016/j.ajhg.2026.03.010
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/wdhd1-microcephalic-primordial-dwarfism
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of WDHD1 function as replisome scaffold; intronic WDHD1 variants and splicing; DNA fiber assay and replication fork dynamics; γH2AX signaling; nuclear morphology; PCS; and liver pathology in MPD.- transcript topics: WDHD1 as replisome scaffold; intronic WDHD1 variants and splicing; DNA fiber assay and replication fork speed; γH2AX DNA damage signaling; nuclear morphology and lamin B1; premature sister chromatid separation (PCS)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 17 subjects from 14 families with bi-allelic WDHD1 variants and MPD spectrum- intronic WDHD1 variants cause aberrant splicing and markedly reduced WDHD1 protein levels in patient-derived cells- WDHD1 acts as replisome scaffolding to stabilize replication forks and maintain genome integrity- replication fork progression is slowed and there is increased sp...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2418691/c1a-p6xp7-dmj5go2wcz6o-gnohkd.png"></itunes:image>
                                                                            <itunes:duration>00:21:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[337: ND-CNVs and internalizing–cardiometabolic multimorbidity]]>
                </title>
                <pubDate>Wed, 08 Apr 2026 23:56:34 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2417010</guid>
                                    <link>https://basebybase.castos.com/episodes/nd-cnv-internalizing-cardiometabolic-multimorbidity</link>
                                <description>
                                            <![CDATA[<p>Katzourou IK et al., The American Journal of Human Genetics - Population analysis of ~459,000 UK Biobank participants shows that carriers of neurodevelopmental CNVs (ND-CNVs) have higher odds of co-occurring internalizing (depression, anxiety, somatic) and cardiometabolic conditions (hypertension, dyslipidemia, obesity, T2D, CKD). Effects are stronger for deletions than duplications, greater in females, and linked to the number of haploinsufficient genes within deletions. Key terms: copy-number variants, multimorbidity, internalizing disorders, cardiometabolic, UK Biobank.</p>
<p> Study Highlights:<br />Using CNV calls and linked EHRs in the UK Biobank, the authors tested associations between 54 ND-CNVs and combinations of internalizing and cardiometabolic conditions (ICM-MM). Aggregated ND-CNV carriers (n≈7,546; ~1.6%) had higher odds of ICM-MM (OR range 1.21–1.57) and a higher ICM-MM frequency (14.2% vs 11.5%). Deletions showed stronger effects than duplications and the number of haploinsufficient genes in deletions was associated with greater ICM-MM risk. No robust interactions were detected between ND-CNV status and polygenic risk scores after multiple testing correction.</p>
<p> Conclusion:<br />ND-CNVs increase risk of internalizing–cardiometabolic multimorbidity at the population level, especially for deletions and in females, suggesting the need for heightened clinical monitoring of carriers.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Neurodevelopmental copy-number variants increase risk of internalizing and cardiometabolic multimorbidity: Findings from the UK Biobank</p>
<p> First author:<br />Katzourou IK</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.021</p>
<p> Reference:<br />Katzourou IK, LINC consortium, Barroso I, et al. Neurodevelopmental copy-number variants increase risk of internalizing and cardiometabolic multimorbidity: Findings from the UK Biobank. The American Journal of Human Genetics. 2026;113:1–11. https://doi.org/10.1016/j.ajhg.2026.02.021</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nd-cnv-internalizing-cardiometabolic-multimorbidity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering ND-CNV–ICM-MM association, UK Biobank design and CNV calling, dosage-sensitivity (haploinsufficient vs triplosensitive), deletion vs duplication effects (notably 16p11.2), sex differences, PRS interaction analyses, and clinical implications including multidisciplinary care and casca<br />- transcript topics: Definition of ND-CNVs and ICM-MM; UK Biobank cohort size, CNV calling methods (PennCNV); Dosage sensitivity: haploinsufficient vs triplosensitive genes; Deletion vs duplication effects on ICM-MM and obesity; 16p11.2 region emphasis; Sex differences in ND-CNV associations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:&lt;...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Katzourou IK et al., The American Journal of Human Genetics - Population analysis of ~459,000 UK Biobank participants shows that carriers of neurodevelopmental CNVs (ND-CNVs) have higher odds of co-occurring internalizing (depression, anxiety, somatic) and cardiometabolic conditions (hypertension, dyslipidemia, obesity, T2D, CKD). Effects are stronger for deletions than duplications, greater in females, and linked to the number of haploinsufficient genes within deletions. Key terms: copy-number variants, multimorbidity, internalizing disorders, cardiometabolic, UK Biobank.
 Study Highlights:Using CNV calls and linked EHRs in the UK Biobank, the authors tested associations between 54 ND-CNVs and combinations of internalizing and cardiometabolic conditions (ICM-MM). Aggregated ND-CNV carriers (n≈7,546; ~1.6%) had higher odds of ICM-MM (OR range 1.21–1.57) and a higher ICM-MM frequency (14.2% vs 11.5%). Deletions showed stronger effects than duplications and the number of haploinsufficient genes in deletions was associated with greater ICM-MM risk. No robust interactions were detected between ND-CNV status and polygenic risk scores after multiple testing correction.
 Conclusion:ND-CNVs increase risk of internalizing–cardiometabolic multimorbidity at the population level, especially for deletions and in females, suggesting the need for heightened clinical monitoring of carriers.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Neurodevelopmental copy-number variants increase risk of internalizing and cardiometabolic multimorbidity: Findings from the UK Biobank
 First author:Katzourou IK
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.021
 Reference:Katzourou IK, LINC consortium, Barroso I, et al. Neurodevelopmental copy-number variants increase risk of internalizing and cardiometabolic multimorbidity: Findings from the UK Biobank. The American Journal of Human Genetics. 2026;113:1–11. https://doi.org/10.1016/j.ajhg.2026.02.021
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nd-cnv-internalizing-cardiometabolic-multimorbidity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering ND-CNV–ICM-MM association, UK Biobank design and CNV calling, dosage-sensitivity (haploinsufficient vs triplosensitive), deletion vs duplication effects (notably 16p11.2), sex differences, PRS interaction analyses, and clinical implications including multidisciplinary care and casca- transcript topics: Definition of ND-CNVs and ICM-MM; UK Biobank cohort size, CNV calling methods (PennCNV); Dosage sensitivity: haploinsufficient vs triplosensitive genes; Deletion vs duplication effects on ICM-MM and obesity; 16p11.2 region emphasis; Sex differences in ND-CNV associations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:<...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[337: ND-CNVs and internalizing–cardiometabolic multimorbidity]]>
                </itunes:title>
                                    <itunes:episode>337</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Katzourou IK et al., The American Journal of Human Genetics - Population analysis of ~459,000 UK Biobank participants shows that carriers of neurodevelopmental CNVs (ND-CNVs) have higher odds of co-occurring internalizing (depression, anxiety, somatic) and cardiometabolic conditions (hypertension, dyslipidemia, obesity, T2D, CKD). Effects are stronger for deletions than duplications, greater in females, and linked to the number of haploinsufficient genes within deletions. Key terms: copy-number variants, multimorbidity, internalizing disorders, cardiometabolic, UK Biobank.</p>
<p> Study Highlights:<br />Using CNV calls and linked EHRs in the UK Biobank, the authors tested associations between 54 ND-CNVs and combinations of internalizing and cardiometabolic conditions (ICM-MM). Aggregated ND-CNV carriers (n≈7,546; ~1.6%) had higher odds of ICM-MM (OR range 1.21–1.57) and a higher ICM-MM frequency (14.2% vs 11.5%). Deletions showed stronger effects than duplications and the number of haploinsufficient genes in deletions was associated with greater ICM-MM risk. No robust interactions were detected between ND-CNV status and polygenic risk scores after multiple testing correction.</p>
<p> Conclusion:<br />ND-CNVs increase risk of internalizing–cardiometabolic multimorbidity at the population level, especially for deletions and in females, suggesting the need for heightened clinical monitoring of carriers.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Neurodevelopmental copy-number variants increase risk of internalizing and cardiometabolic multimorbidity: Findings from the UK Biobank</p>
<p> First author:<br />Katzourou IK</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.021</p>
<p> Reference:<br />Katzourou IK, LINC consortium, Barroso I, et al. Neurodevelopmental copy-number variants increase risk of internalizing and cardiometabolic multimorbidity: Findings from the UK Biobank. The American Journal of Human Genetics. 2026;113:1–11. https://doi.org/10.1016/j.ajhg.2026.02.021</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nd-cnv-internalizing-cardiometabolic-multimorbidity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering ND-CNV–ICM-MM association, UK Biobank design and CNV calling, dosage-sensitivity (haploinsufficient vs triplosensitive), deletion vs duplication effects (notably 16p11.2), sex differences, PRS interaction analyses, and clinical implications including multidisciplinary care and casca<br />- transcript topics: Definition of ND-CNVs and ICM-MM; UK Biobank cohort size, CNV calling methods (PennCNV); Dosage sensitivity: haploinsufficient vs triplosensitive genes; Deletion vs duplication effects on ICM-MM and obesity; 16p11.2 region emphasis; Sex differences in ND-CNV associations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ND-CNVs increase risk of internalizing–cardiometabolic multimorbidity (ICM-MM) in UK Biobank with OR 1.21–1.57 and 14.2% vs 11.5% prevalence<br />- Deletions show stronger effects than duplications; 16p11.2 region deletions are notable<br />- The number of haploinsufficient genes within deletions is associated with higher ICM-MM; duplications' triplosensitive genes do not show the same pattern<br />- No robust ND-CNV × PRS interactions after multiple-testing correction; nominal interactions present in some PRS analyses<br />- Sex differences: higher risk in females for certain ND-CNV associations (e.g., T2D, internalizing)<br />- Survival bias in UK Biobank implies observed effect sizes are conservative lower bounds</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Katzourou IK et al., The American Journal of Human Genetics - Population analysis of ~459,000 UK Biobank participants shows that carriers of neurodevelopmental CNVs (ND-CNVs) have higher odds of co-occurring internalizing (depression, anxiety, somatic) and cardiometabolic conditions (hypertension, dyslipidemia, obesity, T2D, CKD). Effects are stronger for deletions than duplications, greater in females, and linked to the number of haploinsufficient genes within deletions. Key terms: copy-number variants, multimorbidity, internalizing disorders, cardiometabolic, UK Biobank.
 Study Highlights:Using CNV calls and linked EHRs in the UK Biobank, the authors tested associations between 54 ND-CNVs and combinations of internalizing and cardiometabolic conditions (ICM-MM). Aggregated ND-CNV carriers (n≈7,546; ~1.6%) had higher odds of ICM-MM (OR range 1.21–1.57) and a higher ICM-MM frequency (14.2% vs 11.5%). Deletions showed stronger effects than duplications and the number of haploinsufficient genes in deletions was associated with greater ICM-MM risk. No robust interactions were detected between ND-CNV status and polygenic risk scores after multiple testing correction.
 Conclusion:ND-CNVs increase risk of internalizing–cardiometabolic multimorbidity at the population level, especially for deletions and in females, suggesting the need for heightened clinical monitoring of carriers.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Neurodevelopmental copy-number variants increase risk of internalizing and cardiometabolic multimorbidity: Findings from the UK Biobank
 First author:Katzourou IK
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.021
 Reference:Katzourou IK, LINC consortium, Barroso I, et al. Neurodevelopmental copy-number variants increase risk of internalizing and cardiometabolic multimorbidity: Findings from the UK Biobank. The American Journal of Human Genetics. 2026;113:1–11. https://doi.org/10.1016/j.ajhg.2026.02.021
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nd-cnv-internalizing-cardiometabolic-multimorbidity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering ND-CNV–ICM-MM association, UK Biobank design and CNV calling, dosage-sensitivity (haploinsufficient vs triplosensitive), deletion vs duplication effects (notably 16p11.2), sex differences, PRS interaction analyses, and clinical implications including multidisciplinary care and casca- transcript topics: Definition of ND-CNVs and ICM-MM; UK Biobank cohort size, CNV calling methods (PennCNV); Dosage sensitivity: haploinsufficient vs triplosensitive genes; Deletion vs duplication effects on ICM-MM and obesity; 16p11.2 region emphasis; Sex differences in ND-CNV associations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:<...]]>
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                                                                            <itunes:duration>00:22:39</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[336: Measuring disease likelihood in genomic ascertainment]]>
                </title>
                <pubDate>Tue, 07 Apr 2026 22:53:17 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2416049</guid>
                                    <link>https://basebybase.castos.com/episodes/measuring-disease-likelihood-genomic-ascertainment</link>
                                <description>
                                            <![CDATA[<p>Sapp JC et al., The American Journal of Human Genetics - A longitudinal study of recipients of medically actionable secondary genomic findings develops a Bayesian approach that integrates variant, family genotypic, and phenotypic data to estimate the probability that a secondary finding represents a true clinicomolecular diagnosis, with a detailed analysis of BRCA1/BRCA2 families and implications for screening policy and clinical management. Key terms: secondary findings, BRCA1, BRCA2, Bayesian risk assessment, population genomic screening.</p>
<p> Study Highlights:<br />The team enrolled 227 secondary findings recipients and completed genotyping and deep phenotyping for 163 probands, using cascade testing and variant reclassification. They piloted a Bayesian method combining prior population prevalence, variant pathogenicity, and family genotype–phenotype data to estimate clinicomolecular diagnosis (CMD) probabilities for BRCA1/2 families. CMD probabilities varied widely (26.2% to &gt;99.9%) and over half of BRCA1/2 families met NCCN diagnostic testing criteria, indicating underuse of diagnostic testing.</p>
<p> Conclusion:<br />In opportunistic secondary findings contexts the posterior probability that a patient has the implicated monogenic disease can differ substantially from variant pathogenicity; integrating familial genotypic and phenotypic data via Bayesian methods refines risk estimates and should guide shared decision-making, management strategies, and policy for population genomic screening.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Measuring disease likelihood in genomic ascertainment</p>
<p> First author:<br />Sapp JC</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.03.009</p>
<p> Reference:<br />Sapp JC, Lewis KL, Modlin EW, et al. Measuring disease likelihood in genomic ascertainment. The American Journal of Human Genetics. 2026;113:1–12. doi:10.1016/j.ajhg.2026.03.009</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/measuring-disease-likelihood-genomic-ascertainment</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing the Bayesian CMD approach, the BRCA1/BRCA2 findings, the Family 8334 case, NCCN criteria implications, and study design/limitations.<br />- transcript topics: ACMG secondary findings context and selection bias; Bayesian probability model for CMD; Cascade testing and family data integration; BRCA1 vs BRCA2 variant distribution and penetrance; NCCN criteria and clinical testing underutilization; Study design and recruitment (163 probands from 41 sources)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CMD probability range across BRCA1/BRCA2 families: 26.2% to 100%<br />- Baseline posterior probability for BRCA2-related CMD: 58.2%<br />- Posterior CMD probability for family 8334: 99.2%<br />- Average CMD...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sapp JC et al., The American Journal of Human Genetics - A longitudinal study of recipients of medically actionable secondary genomic findings develops a Bayesian approach that integrates variant, family genotypic, and phenotypic data to estimate the probability that a secondary finding represents a true clinicomolecular diagnosis, with a detailed analysis of BRCA1/BRCA2 families and implications for screening policy and clinical management. Key terms: secondary findings, BRCA1, BRCA2, Bayesian risk assessment, population genomic screening.
 Study Highlights:The team enrolled 227 secondary findings recipients and completed genotyping and deep phenotyping for 163 probands, using cascade testing and variant reclassification. They piloted a Bayesian method combining prior population prevalence, variant pathogenicity, and family genotype–phenotype data to estimate clinicomolecular diagnosis (CMD) probabilities for BRCA1/2 families. CMD probabilities varied widely (26.2% to >99.9%) and over half of BRCA1/2 families met NCCN diagnostic testing criteria, indicating underuse of diagnostic testing.
 Conclusion:In opportunistic secondary findings contexts the posterior probability that a patient has the implicated monogenic disease can differ substantially from variant pathogenicity; integrating familial genotypic and phenotypic data via Bayesian methods refines risk estimates and should guide shared decision-making, management strategies, and policy for population genomic screening.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Measuring disease likelihood in genomic ascertainment
 First author:Sapp JC
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.03.009
 Reference:Sapp JC, Lewis KL, Modlin EW, et al. Measuring disease likelihood in genomic ascertainment. The American Journal of Human Genetics. 2026;113:1–12. doi:10.1016/j.ajhg.2026.03.009
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/measuring-disease-likelihood-genomic-ascertainment
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing the Bayesian CMD approach, the BRCA1/BRCA2 findings, the Family 8334 case, NCCN criteria implications, and study design/limitations.- transcript topics: ACMG secondary findings context and selection bias; Bayesian probability model for CMD; Cascade testing and family data integration; BRCA1 vs BRCA2 variant distribution and penetrance; NCCN criteria and clinical testing underutilization; Study design and recruitment (163 probands from 41 sources)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CMD probability range across BRCA1/BRCA2 families: 26.2% to 100%- Baseline posterior probability for BRCA2-related CMD: 58.2%- Posterior CMD probability for family 8334: 99.2%- Average CMD...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[336: Measuring disease likelihood in genomic ascertainment]]>
                </itunes:title>
                                    <itunes:episode>336</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sapp JC et al., The American Journal of Human Genetics - A longitudinal study of recipients of medically actionable secondary genomic findings develops a Bayesian approach that integrates variant, family genotypic, and phenotypic data to estimate the probability that a secondary finding represents a true clinicomolecular diagnosis, with a detailed analysis of BRCA1/BRCA2 families and implications for screening policy and clinical management. Key terms: secondary findings, BRCA1, BRCA2, Bayesian risk assessment, population genomic screening.</p>
<p> Study Highlights:<br />The team enrolled 227 secondary findings recipients and completed genotyping and deep phenotyping for 163 probands, using cascade testing and variant reclassification. They piloted a Bayesian method combining prior population prevalence, variant pathogenicity, and family genotype–phenotype data to estimate clinicomolecular diagnosis (CMD) probabilities for BRCA1/2 families. CMD probabilities varied widely (26.2% to &gt;99.9%) and over half of BRCA1/2 families met NCCN diagnostic testing criteria, indicating underuse of diagnostic testing.</p>
<p> Conclusion:<br />In opportunistic secondary findings contexts the posterior probability that a patient has the implicated monogenic disease can differ substantially from variant pathogenicity; integrating familial genotypic and phenotypic data via Bayesian methods refines risk estimates and should guide shared decision-making, management strategies, and policy for population genomic screening.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Measuring disease likelihood in genomic ascertainment</p>
<p> First author:<br />Sapp JC</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.03.009</p>
<p> Reference:<br />Sapp JC, Lewis KL, Modlin EW, et al. Measuring disease likelihood in genomic ascertainment. The American Journal of Human Genetics. 2026;113:1–12. doi:10.1016/j.ajhg.2026.03.009</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/measuring-disease-likelihood-genomic-ascertainment</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing the Bayesian CMD approach, the BRCA1/BRCA2 findings, the Family 8334 case, NCCN criteria implications, and study design/limitations.<br />- transcript topics: ACMG secondary findings context and selection bias; Bayesian probability model for CMD; Cascade testing and family data integration; BRCA1 vs BRCA2 variant distribution and penetrance; NCCN criteria and clinical testing underutilization; Study design and recruitment (163 probands from 41 sources)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CMD probability range across BRCA1/BRCA2 families: 26.2% to 100%<br />- Baseline posterior probability for BRCA2-related CMD: 58.2%<br />- Posterior CMD probability for family 8334: 99.2%<br />- Average CMD probability across BRCA1/BRCA2 families: 86.9%<br />- BRCA2 variants comprised 83% and BRCA1 17% of BRCA1/BRCA2 findings<br />- 51% of BRCA1/BRCA2 families met NCCN diagnostic testing criteria</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Sapp JC et al., The American Journal of Human Genetics - A longitudinal study of recipients of medically actionable secondary genomic findings develops a Bayesian approach that integrates variant, family genotypic, and phenotypic data to estimate the probability that a secondary finding represents a true clinicomolecular diagnosis, with a detailed analysis of BRCA1/BRCA2 families and implications for screening policy and clinical management. Key terms: secondary findings, BRCA1, BRCA2, Bayesian risk assessment, population genomic screening.
 Study Highlights:The team enrolled 227 secondary findings recipients and completed genotyping and deep phenotyping for 163 probands, using cascade testing and variant reclassification. They piloted a Bayesian method combining prior population prevalence, variant pathogenicity, and family genotype–phenotype data to estimate clinicomolecular diagnosis (CMD) probabilities for BRCA1/2 families. CMD probabilities varied widely (26.2% to >99.9%) and over half of BRCA1/2 families met NCCN diagnostic testing criteria, indicating underuse of diagnostic testing.
 Conclusion:In opportunistic secondary findings contexts the posterior probability that a patient has the implicated monogenic disease can differ substantially from variant pathogenicity; integrating familial genotypic and phenotypic data via Bayesian methods refines risk estimates and should guide shared decision-making, management strategies, and policy for population genomic screening.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Measuring disease likelihood in genomic ascertainment
 First author:Sapp JC
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.03.009
 Reference:Sapp JC, Lewis KL, Modlin EW, et al. Measuring disease likelihood in genomic ascertainment. The American Journal of Human Genetics. 2026;113:1–12. doi:10.1016/j.ajhg.2026.03.009
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/measuring-disease-likelihood-genomic-ascertainment
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing the Bayesian CMD approach, the BRCA1/BRCA2 findings, the Family 8334 case, NCCN criteria implications, and study design/limitations.- transcript topics: ACMG secondary findings context and selection bias; Bayesian probability model for CMD; Cascade testing and family data integration; BRCA1 vs BRCA2 variant distribution and penetrance; NCCN criteria and clinical testing underutilization; Study design and recruitment (163 probands from 41 sources)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CMD probability range across BRCA1/BRCA2 families: 26.2% to 100%- Baseline posterior probability for BRCA2-related CMD: 58.2%- Posterior CMD probability for family 8334: 99.2%- Average CMD...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2416049/c1a-p6xp7-6z8w2638u61-stfllg.png"></itunes:image>
                                                                            <itunes:duration>00:24:29</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[335: Altai Neandertal Genome Reveals Deep Population Structure]]>
                </title>
                <pubDate>Sun, 05 Apr 2026 20:36:49 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2414440</guid>
                                    <link>https://basebybase.castos.com/episodes/d17-altai-neandertal-genome-structure</link>
                                <description>
                                            <![CDATA[<p>Massilania D et al., PNAS - We summarize a PNAS study reporting a ~37× genome from a ~110,000-year-old male Neandertal (Denisova 17) from Denisova Cave. The genome shows D17 is closely related to an earlier Denisova Neandertal (D5), both carry Denisovan introgressed segments, and Neandertal groups displayed high regional differentiation and small, isolated populations in the Altai. Key terms: Neandertal, Denisova Cave, genome sequencing, population structure, Denisovan admixture.</p>
<p> Study Highlights:<br />The authors generated a high-coverage (~37-fold) autosomal genome from a ~110,000-year-old male Neandertal (D17) from Denisova Cave and dated it to ~110 kya. D17 is more closely related to an older Denisova Neandertal (D5) than to European or other Altai Neandertals and both D5 and D17 contain Denisovan-derived genomic segments. Patterns of homozygosity indicate smaller, more isolated groups in Altai Neandertals compared with later European Neandertals. Estimated FST shows Eastern and Western Neandertals were as genetically differentiated as the most divergent present-day human populations, implying rapid drift under small effective sizes.</p>
<p> Conclusion:<br />A high-coverage Altai Neandertal genome reveals Denisovan admixture in older eastern Neandertals, small and isolated group sizes in the Altai, and pronounced east–west Neandertal population differentiation exceeding that seen among modern human populations.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A high-coverage Neandertal genome from the Altai Mountains reveals population structure among Neandertals</p>
<p> First author:<br />Massilania D</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2534576123</p>
<p> Reference:<br />Massilania D, Peyrégne S, Iasi LN M, de Filippo C, Mafessoni F, Mesab AB, Sümer AP, Swiel Y, Popli D, Silverman S, Boylea MJ, Kozlikind MB, Shunkov MV, Derevianko AP, Higham T, Douka K, Meyer M, Zeberg H, Kelso J, Pääbo S. A high-coverage Neandertal genome from the Altai Mountains reveals population structure among Neandertals. PNAS. 2026;123(13):e2534576123. doi:10.1073/pnas.2534576123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/d17-altai-neandertal-genome-structure</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit focused on the transcript sections describing: specimen, sequencing coverage, population structure, Denisovan admixture, autozygosity and small group sizes, FST differentiation, and dating of D17/D5 lineages, plus migration/replacement dynamics.<br />- transcript topics: Denisova 17 (D17) DNA extraction and high-coverage genome (~37x); Relationship among Neandertals (D17, D5, Chag8, Vi33.19) and Denisovans; Denisovan introgression into D17 and D5; lack of clear Denisovan signal in Chag8; Autozygosity and small population sizes (&lt;50 individuals) in Eastern Neandertals; Genetic differentiation (FST ~0.30) between Eastern and Western Neandertals; Molecular dating and age estimates for D17 (~110 kya) and Y-chromosome lineage</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata c...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Massilania D et al., PNAS - We summarize a PNAS study reporting a ~37× genome from a ~110,000-year-old male Neandertal (Denisova 17) from Denisova Cave. The genome shows D17 is closely related to an earlier Denisova Neandertal (D5), both carry Denisovan introgressed segments, and Neandertal groups displayed high regional differentiation and small, isolated populations in the Altai. Key terms: Neandertal, Denisova Cave, genome sequencing, population structure, Denisovan admixture.
 Study Highlights:The authors generated a high-coverage (~37-fold) autosomal genome from a ~110,000-year-old male Neandertal (D17) from Denisova Cave and dated it to ~110 kya. D17 is more closely related to an older Denisova Neandertal (D5) than to European or other Altai Neandertals and both D5 and D17 contain Denisovan-derived genomic segments. Patterns of homozygosity indicate smaller, more isolated groups in Altai Neandertals compared with later European Neandertals. Estimated FST shows Eastern and Western Neandertals were as genetically differentiated as the most divergent present-day human populations, implying rapid drift under small effective sizes.
 Conclusion:A high-coverage Altai Neandertal genome reveals Denisovan admixture in older eastern Neandertals, small and isolated group sizes in the Altai, and pronounced east–west Neandertal population differentiation exceeding that seen among modern human populations.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A high-coverage Neandertal genome from the Altai Mountains reveals population structure among Neandertals
 First author:Massilania D
 Journal:PNAS
 DOI:10.1073/pnas.2534576123
 Reference:Massilania D, Peyrégne S, Iasi LN M, de Filippo C, Mafessoni F, Mesab AB, Sümer AP, Swiel Y, Popli D, Silverman S, Boylea MJ, Kozlikind MB, Shunkov MV, Derevianko AP, Higham T, Douka K, Meyer M, Zeberg H, Kelso J, Pääbo S. A high-coverage Neandertal genome from the Altai Mountains reveals population structure among Neandertals. PNAS. 2026;123(13):e2534576123. doi:10.1073/pnas.2534576123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/d17-altai-neandertal-genome-structure
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit focused on the transcript sections describing: specimen, sequencing coverage, population structure, Denisovan admixture, autozygosity and small group sizes, FST differentiation, and dating of D17/D5 lineages, plus migration/replacement dynamics.- transcript topics: Denisova 17 (D17) DNA extraction and high-coverage genome (~37x); Relationship among Neandertals (D17, D5, Chag8, Vi33.19) and Denisovans; Denisovan introgression into D17 and D5; lack of clear Denisovan signal in Chag8; Autozygosity and small population sizes (<50 individuals) in Eastern Neandertals; Genetic differentiation (FST ~0.30) between Eastern and Western Neandertals; Molecular dating and age estimates for D17 (~110 kya) and Y-chromosome lineage
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata c...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[335: Altai Neandertal Genome Reveals Deep Population Structure]]>
                </itunes:title>
                                    <itunes:episode>335</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Massilania D et al., PNAS - We summarize a PNAS study reporting a ~37× genome from a ~110,000-year-old male Neandertal (Denisova 17) from Denisova Cave. The genome shows D17 is closely related to an earlier Denisova Neandertal (D5), both carry Denisovan introgressed segments, and Neandertal groups displayed high regional differentiation and small, isolated populations in the Altai. Key terms: Neandertal, Denisova Cave, genome sequencing, population structure, Denisovan admixture.</p>
<p> Study Highlights:<br />The authors generated a high-coverage (~37-fold) autosomal genome from a ~110,000-year-old male Neandertal (D17) from Denisova Cave and dated it to ~110 kya. D17 is more closely related to an older Denisova Neandertal (D5) than to European or other Altai Neandertals and both D5 and D17 contain Denisovan-derived genomic segments. Patterns of homozygosity indicate smaller, more isolated groups in Altai Neandertals compared with later European Neandertals. Estimated FST shows Eastern and Western Neandertals were as genetically differentiated as the most divergent present-day human populations, implying rapid drift under small effective sizes.</p>
<p> Conclusion:<br />A high-coverage Altai Neandertal genome reveals Denisovan admixture in older eastern Neandertals, small and isolated group sizes in the Altai, and pronounced east–west Neandertal population differentiation exceeding that seen among modern human populations.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A high-coverage Neandertal genome from the Altai Mountains reveals population structure among Neandertals</p>
<p> First author:<br />Massilania D</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2534576123</p>
<p> Reference:<br />Massilania D, Peyrégne S, Iasi LN M, de Filippo C, Mafessoni F, Mesab AB, Sümer AP, Swiel Y, Popli D, Silverman S, Boylea MJ, Kozlikind MB, Shunkov MV, Derevianko AP, Higham T, Douka K, Meyer M, Zeberg H, Kelso J, Pääbo S. A high-coverage Neandertal genome from the Altai Mountains reveals population structure among Neandertals. PNAS. 2026;123(13):e2534576123. doi:10.1073/pnas.2534576123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/d17-altai-neandertal-genome-structure</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit focused on the transcript sections describing: specimen, sequencing coverage, population structure, Denisovan admixture, autozygosity and small group sizes, FST differentiation, and dating of D17/D5 lineages, plus migration/replacement dynamics.<br />- transcript topics: Denisova 17 (D17) DNA extraction and high-coverage genome (~37x); Relationship among Neandertals (D17, D5, Chag8, Vi33.19) and Denisovans; Denisovan introgression into D17 and D5; lack of clear Denisovan signal in Chag8; Autozygosity and small population sizes (&lt;50 individuals) in Eastern Neandertals; Genetic differentiation (FST ~0.30) between Eastern and Western Neandertals; Molecular dating and age estimates for D17 (~110 kya) and Y-chromosome lineage</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- D17 high-coverage Neandertal genome (~37× autosomal coverage)<br />- D17, D5 show Denisovan introgression; Chag8 shows little to no Denisovan admixture<br />- D17 shares more derived alleles with D5 than with Vi33.19 or Chag8<br />- Eastern and Western Neandertals have FST ≈ 0.30, greater differentiation than most modern human pairs<br />- D17 estimated age ~110 thousand years (autosomal molecular dating)<br />- D5 ~8,000 years older than D17 in Denisovan introgression timing</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Massilania D et al., PNAS - We summarize a PNAS study reporting a ~37× genome from a ~110,000-year-old male Neandertal (Denisova 17) from Denisova Cave. The genome shows D17 is closely related to an earlier Denisova Neandertal (D5), both carry Denisovan introgressed segments, and Neandertal groups displayed high regional differentiation and small, isolated populations in the Altai. Key terms: Neandertal, Denisova Cave, genome sequencing, population structure, Denisovan admixture.
 Study Highlights:The authors generated a high-coverage (~37-fold) autosomal genome from a ~110,000-year-old male Neandertal (D17) from Denisova Cave and dated it to ~110 kya. D17 is more closely related to an older Denisova Neandertal (D5) than to European or other Altai Neandertals and both D5 and D17 contain Denisovan-derived genomic segments. Patterns of homozygosity indicate smaller, more isolated groups in Altai Neandertals compared with later European Neandertals. Estimated FST shows Eastern and Western Neandertals were as genetically differentiated as the most divergent present-day human populations, implying rapid drift under small effective sizes.
 Conclusion:A high-coverage Altai Neandertal genome reveals Denisovan admixture in older eastern Neandertals, small and isolated group sizes in the Altai, and pronounced east–west Neandertal population differentiation exceeding that seen among modern human populations.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A high-coverage Neandertal genome from the Altai Mountains reveals population structure among Neandertals
 First author:Massilania D
 Journal:PNAS
 DOI:10.1073/pnas.2534576123
 Reference:Massilania D, Peyrégne S, Iasi LN M, de Filippo C, Mafessoni F, Mesab AB, Sümer AP, Swiel Y, Popli D, Silverman S, Boylea MJ, Kozlikind MB, Shunkov MV, Derevianko AP, Higham T, Douka K, Meyer M, Zeberg H, Kelso J, Pääbo S. A high-coverage Neandertal genome from the Altai Mountains reveals population structure among Neandertals. PNAS. 2026;123(13):e2534576123. doi:10.1073/pnas.2534576123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/d17-altai-neandertal-genome-structure
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit focused on the transcript sections describing: specimen, sequencing coverage, population structure, Denisovan admixture, autozygosity and small group sizes, FST differentiation, and dating of D17/D5 lineages, plus migration/replacement dynamics.- transcript topics: Denisova 17 (D17) DNA extraction and high-coverage genome (~37x); Relationship among Neandertals (D17, D5, Chag8, Vi33.19) and Denisovans; Denisovan introgression into D17 and D5; lack of clear Denisovan signal in Chag8; Autozygosity and small population sizes (<50 individuals) in Eastern Neandertals; Genetic differentiation (FST ~0.30) between Eastern and Western Neandertals; Molecular dating and age estimates for D17 (~110 kya) and Y-chromosome lineage
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata c...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2414440/c1a-p6xp7-0v02z6p5a851-2zrf3u.png"></itunes:image>
                                                                            <itunes:duration>00:23:54</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[334: LINE-1 Recombination with Diverse RNAs]]>
                </title>
                <pubDate>Sun, 05 Apr 2026 19:19:16 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2414397</guid>
                                    <link>https://basebybase.castos.com/episodes/line1-recombination-diverse-rnas</link>
                                <description>
                                            <![CDATA[<p>Law C-T et al., Cell Genomics - Law and Burns introduce TiMEstamp, a comparative-genomics pipeline that dates LINE-1 insertions from multiple sequence alignments and discovers hundreds of LINE-1 chimeric insertions fused to diverse RNAs across mammalian evolution. Key terms: LINE-1, TiMEstamp, chimeric insertions, retrotransposition, comparative genomics.</p>
<p> Study Highlights:<br />The authors developed TiMEstamp to infer TE insertion times from multispecies MSAs and to detect contemporaneous 5′ sequences fused to LINE-1. They compiled a large catalog of LINE-1 chimeras (reported &gt;700 events) including known U6/LINE-1 cases and newly identified partners such as tRNA, 28S rRNA, 7SL, Y RNA, Alu elements, and mRNA 5′ transductions. Alu/LINE-1 chimeras (452 events) and 17 mRNA/lncRNA 5′ transductions were characterized with TSDs, EN motifs, and orientation/length patterns. They also show that promoter co-option (e.g., RAP1GDS1 driving a spliced intronic L1PA2) can restore retrotransposition competence.</p>
<p> Conclusion:<br />Comparative MSA-based timing reveals widespread, recurrent recombination between LINE-1 RNA and diverse cellular RNAs, producing chimeric insertions that have contributed to transposon diversification and provide mechanisms (RNA ligation, template switching, twin priming, promoter co-option) that may influence TE evolution and somatic/germline retrotransposition.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Comparative genomics reveals LINE-1 recombination with diverse RNAs</p>
<p> First author:<br />Law C-T</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2026.101165</p>
<p> Reference:<br />Law C-T and Burns K.H., 2026. Comparative genomics reveals LINE-1 recombination with diverse RNAs. Cell Genomics 6, 101165. https://doi.org/10.1016/j.xgen.2026.101165</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/line1-recombination-diverse-rnas</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections covering the TiMEstamp workflow and data (MSA across mammals), discovery of chimeric LINE-1 insertions (tRNA halves, 28S rRNA, 7SL, Y RNA, 7SK), Alu/LINE-1 chimeras, mRNA/lncRNA 5' transductions (MAP3K13, FHIT), RAP1GDS1 promoter co-option, twin priming and trans-splicing mechanisms, and study limitati<br />- transcript topics: LINE-1 retrotransposition mechanics (TPRT); TiMEstamp methodology and MSA dating; Chimeric LINE-1 insertions with non-LINE-1 RNAs (tRNA halves, 28S rRNA, 7SL, Y RNA, 7SK RNA); Alu/LINE-1 chimeras and temporal activity; 5′ transductions involving mRNAs/lncRNAs (MAP3K13, FHIT, RAP1GDS1); RAP1GDS1 promoter co-option and transcriptional rescue</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TiMEstamp uses MSAs across mammals to date LINE-1 insertions and identify contemporaneous adjacencies<br />- Chimeric LINE-1 insertions involve diverse RNAs including tR...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Law C-T et al., Cell Genomics - Law and Burns introduce TiMEstamp, a comparative-genomics pipeline that dates LINE-1 insertions from multiple sequence alignments and discovers hundreds of LINE-1 chimeric insertions fused to diverse RNAs across mammalian evolution. Key terms: LINE-1, TiMEstamp, chimeric insertions, retrotransposition, comparative genomics.
 Study Highlights:The authors developed TiMEstamp to infer TE insertion times from multispecies MSAs and to detect contemporaneous 5′ sequences fused to LINE-1. They compiled a large catalog of LINE-1 chimeras (reported >700 events) including known U6/LINE-1 cases and newly identified partners such as tRNA, 28S rRNA, 7SL, Y RNA, Alu elements, and mRNA 5′ transductions. Alu/LINE-1 chimeras (452 events) and 17 mRNA/lncRNA 5′ transductions were characterized with TSDs, EN motifs, and orientation/length patterns. They also show that promoter co-option (e.g., RAP1GDS1 driving a spliced intronic L1PA2) can restore retrotransposition competence.
 Conclusion:Comparative MSA-based timing reveals widespread, recurrent recombination between LINE-1 RNA and diverse cellular RNAs, producing chimeric insertions that have contributed to transposon diversification and provide mechanisms (RNA ligation, template switching, twin priming, promoter co-option) that may influence TE evolution and somatic/germline retrotransposition.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Comparative genomics reveals LINE-1 recombination with diverse RNAs
 First author:Law C-T
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2026.101165
 Reference:Law C-T and Burns K.H., 2026. Comparative genomics reveals LINE-1 recombination with diverse RNAs. Cell Genomics 6, 101165. https://doi.org/10.1016/j.xgen.2026.101165
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/line1-recombination-diverse-rnas
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections covering the TiMEstamp workflow and data (MSA across mammals), discovery of chimeric LINE-1 insertions (tRNA halves, 28S rRNA, 7SL, Y RNA, 7SK), Alu/LINE-1 chimeras, mRNA/lncRNA 5' transductions (MAP3K13, FHIT), RAP1GDS1 promoter co-option, twin priming and trans-splicing mechanisms, and study limitati- transcript topics: LINE-1 retrotransposition mechanics (TPRT); TiMEstamp methodology and MSA dating; Chimeric LINE-1 insertions with non-LINE-1 RNAs (tRNA halves, 28S rRNA, 7SL, Y RNA, 7SK RNA); Alu/LINE-1 chimeras and temporal activity; 5′ transductions involving mRNAs/lncRNAs (MAP3K13, FHIT, RAP1GDS1); RAP1GDS1 promoter co-option and transcriptional rescue
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- TiMEstamp uses MSAs across mammals to date LINE-1 insertions and identify contemporaneous adjacencies- Chimeric LINE-1 insertions involve diverse RNAs including tR...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[334: LINE-1 Recombination with Diverse RNAs]]>
                </itunes:title>
                                    <itunes:episode>334</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Law C-T et al., Cell Genomics - Law and Burns introduce TiMEstamp, a comparative-genomics pipeline that dates LINE-1 insertions from multiple sequence alignments and discovers hundreds of LINE-1 chimeric insertions fused to diverse RNAs across mammalian evolution. Key terms: LINE-1, TiMEstamp, chimeric insertions, retrotransposition, comparative genomics.</p>
<p> Study Highlights:<br />The authors developed TiMEstamp to infer TE insertion times from multispecies MSAs and to detect contemporaneous 5′ sequences fused to LINE-1. They compiled a large catalog of LINE-1 chimeras (reported &gt;700 events) including known U6/LINE-1 cases and newly identified partners such as tRNA, 28S rRNA, 7SL, Y RNA, Alu elements, and mRNA 5′ transductions. Alu/LINE-1 chimeras (452 events) and 17 mRNA/lncRNA 5′ transductions were characterized with TSDs, EN motifs, and orientation/length patterns. They also show that promoter co-option (e.g., RAP1GDS1 driving a spliced intronic L1PA2) can restore retrotransposition competence.</p>
<p> Conclusion:<br />Comparative MSA-based timing reveals widespread, recurrent recombination between LINE-1 RNA and diverse cellular RNAs, producing chimeric insertions that have contributed to transposon diversification and provide mechanisms (RNA ligation, template switching, twin priming, promoter co-option) that may influence TE evolution and somatic/germline retrotransposition.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Comparative genomics reveals LINE-1 recombination with diverse RNAs</p>
<p> First author:<br />Law C-T</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2026.101165</p>
<p> Reference:<br />Law C-T and Burns K.H., 2026. Comparative genomics reveals LINE-1 recombination with diverse RNAs. Cell Genomics 6, 101165. https://doi.org/10.1016/j.xgen.2026.101165</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/line1-recombination-diverse-rnas</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections covering the TiMEstamp workflow and data (MSA across mammals), discovery of chimeric LINE-1 insertions (tRNA halves, 28S rRNA, 7SL, Y RNA, 7SK), Alu/LINE-1 chimeras, mRNA/lncRNA 5' transductions (MAP3K13, FHIT), RAP1GDS1 promoter co-option, twin priming and trans-splicing mechanisms, and study limitati<br />- transcript topics: LINE-1 retrotransposition mechanics (TPRT); TiMEstamp methodology and MSA dating; Chimeric LINE-1 insertions with non-LINE-1 RNAs (tRNA halves, 28S rRNA, 7SL, Y RNA, 7SK RNA); Alu/LINE-1 chimeras and temporal activity; 5′ transductions involving mRNAs/lncRNAs (MAP3K13, FHIT, RAP1GDS1); RAP1GDS1 promoter co-option and transcriptional rescue</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TiMEstamp uses MSAs across mammals to date LINE-1 insertions and identify contemporaneous adjacencies<br />- Chimeric LINE-1 insertions involve diverse RNAs including tRNA halves, 28S rRNA, 7SL RNA, Y RNA, and 7SK RNA<br />- Alu/LINE-1 chimeras total 452 events with EN motifs in many cases and predominantly sense orientation<br />- 17 chimeric LINE-1 insertions involving protein-coding mRNAs or lncRNAs (e.g., MAP3K13, FHIT) identified; 5′ exons implicated<br />- RAP1GDS1 intronic L1PA2 co-opted promoter drives LINE-1 transcription/retrotransposition in brain<br />- Twin priming and trans-splicing signatures observed in chimeric insertions</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Law C-T et al., Cell Genomics - Law and Burns introduce TiMEstamp, a comparative-genomics pipeline that dates LINE-1 insertions from multiple sequence alignments and discovers hundreds of LINE-1 chimeric insertions fused to diverse RNAs across mammalian evolution. Key terms: LINE-1, TiMEstamp, chimeric insertions, retrotransposition, comparative genomics.
 Study Highlights:The authors developed TiMEstamp to infer TE insertion times from multispecies MSAs and to detect contemporaneous 5′ sequences fused to LINE-1. They compiled a large catalog of LINE-1 chimeras (reported >700 events) including known U6/LINE-1 cases and newly identified partners such as tRNA, 28S rRNA, 7SL, Y RNA, Alu elements, and mRNA 5′ transductions. Alu/LINE-1 chimeras (452 events) and 17 mRNA/lncRNA 5′ transductions were characterized with TSDs, EN motifs, and orientation/length patterns. They also show that promoter co-option (e.g., RAP1GDS1 driving a spliced intronic L1PA2) can restore retrotransposition competence.
 Conclusion:Comparative MSA-based timing reveals widespread, recurrent recombination between LINE-1 RNA and diverse cellular RNAs, producing chimeric insertions that have contributed to transposon diversification and provide mechanisms (RNA ligation, template switching, twin priming, promoter co-option) that may influence TE evolution and somatic/germline retrotransposition.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Comparative genomics reveals LINE-1 recombination with diverse RNAs
 First author:Law C-T
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2026.101165
 Reference:Law C-T and Burns K.H., 2026. Comparative genomics reveals LINE-1 recombination with diverse RNAs. Cell Genomics 6, 101165. https://doi.org/10.1016/j.xgen.2026.101165
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/line1-recombination-diverse-rnas
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections covering the TiMEstamp workflow and data (MSA across mammals), discovery of chimeric LINE-1 insertions (tRNA halves, 28S rRNA, 7SL, Y RNA, 7SK), Alu/LINE-1 chimeras, mRNA/lncRNA 5' transductions (MAP3K13, FHIT), RAP1GDS1 promoter co-option, twin priming and trans-splicing mechanisms, and study limitati- transcript topics: LINE-1 retrotransposition mechanics (TPRT); TiMEstamp methodology and MSA dating; Chimeric LINE-1 insertions with non-LINE-1 RNAs (tRNA halves, 28S rRNA, 7SL, Y RNA, 7SK RNA); Alu/LINE-1 chimeras and temporal activity; 5′ transductions involving mRNAs/lncRNAs (MAP3K13, FHIT, RAP1GDS1); RAP1GDS1 promoter co-option and transcriptional rescue
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- TiMEstamp uses MSAs across mammals to date LINE-1 insertions and identify contemporaneous adjacencies- Chimeric LINE-1 insertions involve diverse RNAs including tR...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2414397/c1a-p6xp7-qdp495m7bx12-z9ettl.png"></itunes:image>
                                                                            <itunes:duration>00:21:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[333: Holistic determination of cfDNA ends]]>
                </title>
                <pubDate>Sat, 04 Apr 2026 17:32:23 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2413844</guid>
                                    <link>https://basebybase.castos.com/episodes/holistic-cfdna-ends-episode-333</link>
                                <description>
                                            <![CDATA[<p>Jiang P et al., Cell Genomics - This episode reviews a Cell Genomics study that uses ssDNA '2-end' and novel '4-end' sequencing to profile native 5′ and 3′ termini of plasma cfDNA. The work identifies PREM/POEM markers, links 3′ ends to methylation, and shows improved HCC detection. Key terms: cfDNA fragmentomics, 3' end motifs, 4-end sequencing, hepatocellular carcinoma, DNASE1L3.</p>
<p> Study Highlights:<br />The authors adapted single-stranded library preparation (2-end sequencing) to measure native 5′ (EM5) and 3′ (EM3) end motifs and defined flanking PREM and POEM motifs. Combining size‑stratified PREM, EM5, EM3, and POEM features raised hepatocellular carcinoma (HCC) detection to an AUC of 0.95. Fragmentomics-based methylation analysis of 3′ ends (3′ FRAGMA) improved HCC detection further (AUC 0.97). A novel 4-end sequencing approach captured all four termini of double‑stranded cfDNA, yielding 4‑end motif models with AUC up to 0.98 and revealing coordinated nuclease activity, notably DNASE1L3 involvement.</p>
<p> Conclusion:<br />Holistic end profiling of cfDNA—integrating native 5′ and 3′ ends, flanking motifs, methylation-informed fragmentomics, and four‑end resolution—enhances cancer detection performance and provides mechanistic insight into coordinated nuclease-mediated fragmentation, warranting larger validation studies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Holistic determination of ends of cfDNA molecules</p>
<p> First author:<br />Jiang P</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2026.101142</p>
<p> Reference:<br />Jiang P., Ma M.-J. L., Qiao R., et al. Holistic determination of ends of cfDNA molecules. Cell Genomics. 2026;6:101142. doi:10.1016/j.xgen.2026.101142</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/holistic-cfdna-ends-episode-333</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s substantive description of 2-end sequencing (EM5/EM3), PREM/POEM, 3'-FRAGMA, 4-end sequencing, nuclease signatures (DNASE1L3, DNASE1, DFFB), HCC diagnostic performance (AUC values), fragment-size context, and translational limitations as reported in the article.<br />- transcript topics: 2-end sequencing preserving native ends (EM5/EM3); Pre-end (PREM) and post-end motifs (POEM); 4-end sequencing with stem-loop adapters and PacBio SMRT; 3'-FRAGMA methylation analysis; Nuclease-specific end motifs and coordinated fragmentation (DNASE1L3, DNASE1, DFFB); HCC detection performance and AUC values</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license<br />- episode_title<br />- episode_number<br />- season</p>
<p>Factual Items Audited:<br />- 2-end sequencing preserves native 5' and 3' ends (EM5/EM3) by omitting end-repair during library prep<br />- PREM and POEM motifs are defined and analyzed as end-motif neighbors around EM5 and EM3<br />- 4-end sequencing enables simultaneous assessment of all four ter...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Jiang P et al., Cell Genomics - This episode reviews a Cell Genomics study that uses ssDNA '2-end' and novel '4-end' sequencing to profile native 5′ and 3′ termini of plasma cfDNA. The work identifies PREM/POEM markers, links 3′ ends to methylation, and shows improved HCC detection. Key terms: cfDNA fragmentomics, 3' end motifs, 4-end sequencing, hepatocellular carcinoma, DNASE1L3.
 Study Highlights:The authors adapted single-stranded library preparation (2-end sequencing) to measure native 5′ (EM5) and 3′ (EM3) end motifs and defined flanking PREM and POEM motifs. Combining size‑stratified PREM, EM5, EM3, and POEM features raised hepatocellular carcinoma (HCC) detection to an AUC of 0.95. Fragmentomics-based methylation analysis of 3′ ends (3′ FRAGMA) improved HCC detection further (AUC 0.97). A novel 4-end sequencing approach captured all four termini of double‑stranded cfDNA, yielding 4‑end motif models with AUC up to 0.98 and revealing coordinated nuclease activity, notably DNASE1L3 involvement.
 Conclusion:Holistic end profiling of cfDNA—integrating native 5′ and 3′ ends, flanking motifs, methylation-informed fragmentomics, and four‑end resolution—enhances cancer detection performance and provides mechanistic insight into coordinated nuclease-mediated fragmentation, warranting larger validation studies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Holistic determination of ends of cfDNA molecules
 First author:Jiang P
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2026.101142
 Reference:Jiang P., Ma M.-J. L., Qiao R., et al. Holistic determination of ends of cfDNA molecules. Cell Genomics. 2026;6:101142. doi:10.1016/j.xgen.2026.101142
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/holistic-cfdna-ends-episode-333
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s substantive description of 2-end sequencing (EM5/EM3), PREM/POEM, 3'-FRAGMA, 4-end sequencing, nuclease signatures (DNASE1L3, DNASE1, DFFB), HCC diagnostic performance (AUC values), fragment-size context, and translational limitations as reported in the article.- transcript topics: 2-end sequencing preserving native ends (EM5/EM3); Pre-end (PREM) and post-end motifs (POEM); 4-end sequencing with stem-loop adapters and PacBio SMRT; 3'-FRAGMA methylation analysis; Nuclease-specific end motifs and coordinated fragmentation (DNASE1L3, DNASE1, DFFB); HCC detection performance and AUC values
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license- episode_title- episode_number- season
Factual Items Audited:- 2-end sequencing preserves native 5' and 3' ends (EM5/EM3) by omitting end-repair during library prep- PREM and POEM motifs are defined and analyzed as end-motif neighbors around EM5 and EM3- 4-end sequencing enables simultaneous assessment of all four ter...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[333: Holistic determination of cfDNA ends]]>
                </itunes:title>
                                    <itunes:episode>333</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Jiang P et al., Cell Genomics - This episode reviews a Cell Genomics study that uses ssDNA '2-end' and novel '4-end' sequencing to profile native 5′ and 3′ termini of plasma cfDNA. The work identifies PREM/POEM markers, links 3′ ends to methylation, and shows improved HCC detection. Key terms: cfDNA fragmentomics, 3' end motifs, 4-end sequencing, hepatocellular carcinoma, DNASE1L3.</p>
<p> Study Highlights:<br />The authors adapted single-stranded library preparation (2-end sequencing) to measure native 5′ (EM5) and 3′ (EM3) end motifs and defined flanking PREM and POEM motifs. Combining size‑stratified PREM, EM5, EM3, and POEM features raised hepatocellular carcinoma (HCC) detection to an AUC of 0.95. Fragmentomics-based methylation analysis of 3′ ends (3′ FRAGMA) improved HCC detection further (AUC 0.97). A novel 4-end sequencing approach captured all four termini of double‑stranded cfDNA, yielding 4‑end motif models with AUC up to 0.98 and revealing coordinated nuclease activity, notably DNASE1L3 involvement.</p>
<p> Conclusion:<br />Holistic end profiling of cfDNA—integrating native 5′ and 3′ ends, flanking motifs, methylation-informed fragmentomics, and four‑end resolution—enhances cancer detection performance and provides mechanistic insight into coordinated nuclease-mediated fragmentation, warranting larger validation studies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Holistic determination of ends of cfDNA molecules</p>
<p> First author:<br />Jiang P</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2026.101142</p>
<p> Reference:<br />Jiang P., Ma M.-J. L., Qiao R., et al. Holistic determination of ends of cfDNA molecules. Cell Genomics. 2026;6:101142. doi:10.1016/j.xgen.2026.101142</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/holistic-cfdna-ends-episode-333</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s substantive description of 2-end sequencing (EM5/EM3), PREM/POEM, 3'-FRAGMA, 4-end sequencing, nuclease signatures (DNASE1L3, DNASE1, DFFB), HCC diagnostic performance (AUC values), fragment-size context, and translational limitations as reported in the article.<br />- transcript topics: 2-end sequencing preserving native ends (EM5/EM3); Pre-end (PREM) and post-end motifs (POEM); 4-end sequencing with stem-loop adapters and PacBio SMRT; 3'-FRAGMA methylation analysis; Nuclease-specific end motifs and coordinated fragmentation (DNASE1L3, DNASE1, DFFB); HCC detection performance and AUC values</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license<br />- episode_title<br />- episode_number<br />- season</p>
<p>Factual Items Audited:<br />- 2-end sequencing preserves native 5' and 3' ends (EM5/EM3) by omitting end-repair during library prep<br />- PREM and POEM motifs are defined and analyzed as end-motif neighbors around EM5 and EM3<br />- 4-end sequencing enables simultaneous assessment of all four termini using stem-loop adapters and PacBio SMRT sequencing<br />- 3'-FRAGMA shows methylation-associated fragmentation patterns and improves HCC detection (AUC 0.97)<br />- Combined end-motif analysis across PREM, EM5, EM3, and POEM yields AUC ≈ 0.95 for HCC detection<br />- DNASE1L3 identified as a major contributor to cfDNA fragmentation; DNASE1L3 knockout mice alter motif frequencies</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Jiang P et al., Cell Genomics - This episode reviews a Cell Genomics study that uses ssDNA '2-end' and novel '4-end' sequencing to profile native 5′ and 3′ termini of plasma cfDNA. The work identifies PREM/POEM markers, links 3′ ends to methylation, and shows improved HCC detection. Key terms: cfDNA fragmentomics, 3' end motifs, 4-end sequencing, hepatocellular carcinoma, DNASE1L3.
 Study Highlights:The authors adapted single-stranded library preparation (2-end sequencing) to measure native 5′ (EM5) and 3′ (EM3) end motifs and defined flanking PREM and POEM motifs. Combining size‑stratified PREM, EM5, EM3, and POEM features raised hepatocellular carcinoma (HCC) detection to an AUC of 0.95. Fragmentomics-based methylation analysis of 3′ ends (3′ FRAGMA) improved HCC detection further (AUC 0.97). A novel 4-end sequencing approach captured all four termini of double‑stranded cfDNA, yielding 4‑end motif models with AUC up to 0.98 and revealing coordinated nuclease activity, notably DNASE1L3 involvement.
 Conclusion:Holistic end profiling of cfDNA—integrating native 5′ and 3′ ends, flanking motifs, methylation-informed fragmentomics, and four‑end resolution—enhances cancer detection performance and provides mechanistic insight into coordinated nuclease-mediated fragmentation, warranting larger validation studies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Holistic determination of ends of cfDNA molecules
 First author:Jiang P
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2026.101142
 Reference:Jiang P., Ma M.-J. L., Qiao R., et al. Holistic determination of ends of cfDNA molecules. Cell Genomics. 2026;6:101142. doi:10.1016/j.xgen.2026.101142
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/holistic-cfdna-ends-episode-333
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s substantive description of 2-end sequencing (EM5/EM3), PREM/POEM, 3'-FRAGMA, 4-end sequencing, nuclease signatures (DNASE1L3, DNASE1, DFFB), HCC diagnostic performance (AUC values), fragment-size context, and translational limitations as reported in the article.- transcript topics: 2-end sequencing preserving native ends (EM5/EM3); Pre-end (PREM) and post-end motifs (POEM); 4-end sequencing with stem-loop adapters and PacBio SMRT; 3'-FRAGMA methylation analysis; Nuclease-specific end motifs and coordinated fragmentation (DNASE1L3, DNASE1, DFFB); HCC detection performance and AUC values
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license- episode_title- episode_number- season
Factual Items Audited:- 2-end sequencing preserves native 5' and 3' ends (EM5/EM3) by omitting end-repair during library prep- PREM and POEM motifs are defined and analyzed as end-motif neighbors around EM5 and EM3- 4-end sequencing enables simultaneous assessment of all four ter...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2413844/c1a-p6xp7-gpjk29mdh3qg-u30wan.png"></itunes:image>
                                                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[333: Holistic determination of cfDNA ends]]>
                </title>
                <pubDate>Sat, 04 Apr 2026 17:32:23 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2413846</guid>
                                    <link>https://basebybase.castos.com/episodes/holistic-cfdna-ends-episode-333-1</link>
                                <description>
                                            <![CDATA[<p>Jiang P et al., Cell Genomics - This episode reviews a Cell Genomics study that uses ssDNA '2-end' and novel '4-end' sequencing to profile native 5′ and 3′ termini of plasma cfDNA. The work identifies PREM/POEM markers, links 3′ ends to methylation, and shows improved HCC detection. Key terms: cfDNA fragmentomics, 3' end motifs, 4-end sequencing, hepatocellular carcinoma, DNASE1L3.</p>
<p> Study Highlights:<br />The authors adapted single-stranded library preparation (2-end sequencing) to measure native 5′ (EM5) and 3′ (EM3) end motifs and defined flanking PREM and POEM motifs. Combining size‑stratified PREM, EM5, EM3, and POEM features raised hepatocellular carcinoma (HCC) detection to an AUC of 0.95. Fragmentomics-based methylation analysis of 3′ ends (3′ FRAGMA) improved HCC detection further (AUC 0.97). A novel 4-end sequencing approach captured all four termini of double‑stranded cfDNA, yielding 4‑end motif models with AUC up to 0.98 and revealing coordinated nuclease activity, notably DNASE1L3 involvement.</p>
<p> Conclusion:<br />Holistic end profiling of cfDNA—integrating native 5′ and 3′ ends, flanking motifs, methylation-informed fragmentomics, and four‑end resolution—enhances cancer detection performance and provides mechanistic insight into coordinated nuclease-mediated fragmentation, warranting larger validation studies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Holistic determination of ends of cfDNA molecules</p>
<p> First author:<br />Jiang P</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2026.101142</p>
<p> Reference:<br />Jiang P., Ma M.-J. L., Qiao R., et al. Holistic determination of ends of cfDNA molecules. Cell Genomics. 2026;6:101142. doi:10.1016/j.xgen.2026.101142</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/holistic-cfdna-ends-episode-333</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s substantive description of 2-end sequencing (EM5/EM3), PREM/POEM, 3'-FRAGMA, 4-end sequencing, nuclease signatures (DNASE1L3, DNASE1, DFFB), HCC diagnostic performance (AUC values), fragment-size context, and translational limitations as reported in the article.<br />- transcript topics: 2-end sequencing preserving native ends (EM5/EM3); Pre-end (PREM) and post-end motifs (POEM); 4-end sequencing with stem-loop adapters and PacBio SMRT; 3'-FRAGMA methylation analysis; Nuclease-specific end motifs and coordinated fragmentation (DNASE1L3, DNASE1, DFFB); HCC detection performance and AUC values</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 2-end sequencing preserves native 5' and 3' ends (EM5/EM3) by omitting end-repair during library prep<br />- PREM and POEM motifs are defined and analyzed as end-motif neighbors around EM5 and EM3<br />- 4-end sequencing enables simultaneous assessment of all four termini using stem-loop adapters and PacBio SMRT sequencing&lt;...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Jiang P et al., Cell Genomics - This episode reviews a Cell Genomics study that uses ssDNA '2-end' and novel '4-end' sequencing to profile native 5′ and 3′ termini of plasma cfDNA. The work identifies PREM/POEM markers, links 3′ ends to methylation, and shows improved HCC detection. Key terms: cfDNA fragmentomics, 3' end motifs, 4-end sequencing, hepatocellular carcinoma, DNASE1L3.
 Study Highlights:The authors adapted single-stranded library preparation (2-end sequencing) to measure native 5′ (EM5) and 3′ (EM3) end motifs and defined flanking PREM and POEM motifs. Combining size‑stratified PREM, EM5, EM3, and POEM features raised hepatocellular carcinoma (HCC) detection to an AUC of 0.95. Fragmentomics-based methylation analysis of 3′ ends (3′ FRAGMA) improved HCC detection further (AUC 0.97). A novel 4-end sequencing approach captured all four termini of double‑stranded cfDNA, yielding 4‑end motif models with AUC up to 0.98 and revealing coordinated nuclease activity, notably DNASE1L3 involvement.
 Conclusion:Holistic end profiling of cfDNA—integrating native 5′ and 3′ ends, flanking motifs, methylation-informed fragmentomics, and four‑end resolution—enhances cancer detection performance and provides mechanistic insight into coordinated nuclease-mediated fragmentation, warranting larger validation studies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Holistic determination of ends of cfDNA molecules
 First author:Jiang P
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2026.101142
 Reference:Jiang P., Ma M.-J. L., Qiao R., et al. Holistic determination of ends of cfDNA molecules. Cell Genomics. 2026;6:101142. doi:10.1016/j.xgen.2026.101142
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/holistic-cfdna-ends-episode-333
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s substantive description of 2-end sequencing (EM5/EM3), PREM/POEM, 3'-FRAGMA, 4-end sequencing, nuclease signatures (DNASE1L3, DNASE1, DFFB), HCC diagnostic performance (AUC values), fragment-size context, and translational limitations as reported in the article.- transcript topics: 2-end sequencing preserving native ends (EM5/EM3); Pre-end (PREM) and post-end motifs (POEM); 4-end sequencing with stem-loop adapters and PacBio SMRT; 3'-FRAGMA methylation analysis; Nuclease-specific end motifs and coordinated fragmentation (DNASE1L3, DNASE1, DFFB); HCC detection performance and AUC values
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 2-end sequencing preserves native 5' and 3' ends (EM5/EM3) by omitting end-repair during library prep- PREM and POEM motifs are defined and analyzed as end-motif neighbors around EM5 and EM3- 4-end sequencing enables simultaneous assessment of all four termini using stem-loop adapters and PacBio SMRT sequencing<...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[333: Holistic determination of cfDNA ends]]>
                </itunes:title>
                                    <itunes:episode>333</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Jiang P et al., Cell Genomics - This episode reviews a Cell Genomics study that uses ssDNA '2-end' and novel '4-end' sequencing to profile native 5′ and 3′ termini of plasma cfDNA. The work identifies PREM/POEM markers, links 3′ ends to methylation, and shows improved HCC detection. Key terms: cfDNA fragmentomics, 3' end motifs, 4-end sequencing, hepatocellular carcinoma, DNASE1L3.</p>
<p> Study Highlights:<br />The authors adapted single-stranded library preparation (2-end sequencing) to measure native 5′ (EM5) and 3′ (EM3) end motifs and defined flanking PREM and POEM motifs. Combining size‑stratified PREM, EM5, EM3, and POEM features raised hepatocellular carcinoma (HCC) detection to an AUC of 0.95. Fragmentomics-based methylation analysis of 3′ ends (3′ FRAGMA) improved HCC detection further (AUC 0.97). A novel 4-end sequencing approach captured all four termini of double‑stranded cfDNA, yielding 4‑end motif models with AUC up to 0.98 and revealing coordinated nuclease activity, notably DNASE1L3 involvement.</p>
<p> Conclusion:<br />Holistic end profiling of cfDNA—integrating native 5′ and 3′ ends, flanking motifs, methylation-informed fragmentomics, and four‑end resolution—enhances cancer detection performance and provides mechanistic insight into coordinated nuclease-mediated fragmentation, warranting larger validation studies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Holistic determination of ends of cfDNA molecules</p>
<p> First author:<br />Jiang P</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2026.101142</p>
<p> Reference:<br />Jiang P., Ma M.-J. L., Qiao R., et al. Holistic determination of ends of cfDNA molecules. Cell Genomics. 2026;6:101142. doi:10.1016/j.xgen.2026.101142</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/holistic-cfdna-ends-episode-333</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s substantive description of 2-end sequencing (EM5/EM3), PREM/POEM, 3'-FRAGMA, 4-end sequencing, nuclease signatures (DNASE1L3, DNASE1, DFFB), HCC diagnostic performance (AUC values), fragment-size context, and translational limitations as reported in the article.<br />- transcript topics: 2-end sequencing preserving native ends (EM5/EM3); Pre-end (PREM) and post-end motifs (POEM); 4-end sequencing with stem-loop adapters and PacBio SMRT; 3'-FRAGMA methylation analysis; Nuclease-specific end motifs and coordinated fragmentation (DNASE1L3, DNASE1, DFFB); HCC detection performance and AUC values</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 2-end sequencing preserves native 5' and 3' ends (EM5/EM3) by omitting end-repair during library prep<br />- PREM and POEM motifs are defined and analyzed as end-motif neighbors around EM5 and EM3<br />- 4-end sequencing enables simultaneous assessment of all four termini using stem-loop adapters and PacBio SMRT sequencing<br />- 3'-FRAGMA shows methylation-associated fragmentation patterns and improves HCC detection (AUC 0.97)<br />- Combined end-motif analysis across PREM, EM5, EM3, and POEM yields AUC ≈ 0.95 for HCC detection<br />- DNASE1L3 identified as a major contributor to cfDNA fragmentation; DNASE1L3 knockout mice alter motif frequencies</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Jiang P et al., Cell Genomics - This episode reviews a Cell Genomics study that uses ssDNA '2-end' and novel '4-end' sequencing to profile native 5′ and 3′ termini of plasma cfDNA. The work identifies PREM/POEM markers, links 3′ ends to methylation, and shows improved HCC detection. Key terms: cfDNA fragmentomics, 3' end motifs, 4-end sequencing, hepatocellular carcinoma, DNASE1L3.
 Study Highlights:The authors adapted single-stranded library preparation (2-end sequencing) to measure native 5′ (EM5) and 3′ (EM3) end motifs and defined flanking PREM and POEM motifs. Combining size‑stratified PREM, EM5, EM3, and POEM features raised hepatocellular carcinoma (HCC) detection to an AUC of 0.95. Fragmentomics-based methylation analysis of 3′ ends (3′ FRAGMA) improved HCC detection further (AUC 0.97). A novel 4-end sequencing approach captured all four termini of double‑stranded cfDNA, yielding 4‑end motif models with AUC up to 0.98 and revealing coordinated nuclease activity, notably DNASE1L3 involvement.
 Conclusion:Holistic end profiling of cfDNA—integrating native 5′ and 3′ ends, flanking motifs, methylation-informed fragmentomics, and four‑end resolution—enhances cancer detection performance and provides mechanistic insight into coordinated nuclease-mediated fragmentation, warranting larger validation studies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Holistic determination of ends of cfDNA molecules
 First author:Jiang P
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2026.101142
 Reference:Jiang P., Ma M.-J. L., Qiao R., et al. Holistic determination of ends of cfDNA molecules. Cell Genomics. 2026;6:101142. doi:10.1016/j.xgen.2026.101142
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/holistic-cfdna-ends-episode-333
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s substantive description of 2-end sequencing (EM5/EM3), PREM/POEM, 3'-FRAGMA, 4-end sequencing, nuclease signatures (DNASE1L3, DNASE1, DFFB), HCC diagnostic performance (AUC values), fragment-size context, and translational limitations as reported in the article.- transcript topics: 2-end sequencing preserving native ends (EM5/EM3); Pre-end (PREM) and post-end motifs (POEM); 4-end sequencing with stem-loop adapters and PacBio SMRT; 3'-FRAGMA methylation analysis; Nuclease-specific end motifs and coordinated fragmentation (DNASE1L3, DNASE1, DFFB); HCC detection performance and AUC values
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 2-end sequencing preserves native 5' and 3' ends (EM5/EM3) by omitting end-repair during library prep- PREM and POEM motifs are defined and analyzed as end-motif neighbors around EM5 and EM3- 4-end sequencing enables simultaneous assessment of all four termini using stem-loop adapters and PacBio SMRT sequencing<...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2413846/c1a-p6xp7-7z8kd63xi3mw-p1mkfi.png"></itunes:image>
                                                                            <itunes:duration>00:24:43</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[332: When Chromatin Filters Force: Age, AP-1, and Fibroblast Mechanotransduction]]>
                </title>
                <pubDate>Thu, 02 Apr 2026 08:38:29 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2412283</guid>
                                    <link>https://basebybase.castos.com/episodes/base-by-base-332-chromatin-age-mechanotransduction</link>
                                <description>
                                            <![CDATA[<p>Liao Y et al., PNAS - Human dermal fibroblasts from young and old donors were embedded in 3D collagen and exposed to mechanical tension and TGF-β. Combining bulk RNA‑seq, ATAC‑seq, imaging, and perturbations, the study shows that matrix tension amplifies TGF‑β responses in young but not aged cells and identifies AP‑1 as a central chromatin-associated regulator required for fibroblast activation. Key terms: chromatin accessibility, mechanotransduction, aging, TGF-β signaling, AP-1.</p>
<p> Study Highlights:<br />Young fibroblasts under matrix tension mount a strong, synergistic transcriptional response to TGF‑β while aged fibroblasts exhibit blunted or divergent responses. Age-dependent differences in chromatin accessibility, notably at distal regulatory elements, correlate with these transcriptional outcomes. AP‑1 family motifs are highly enriched in TGF‑β- and age-responsive accessible regions and cooperate with age-specific TFs. Inhibiting AP‑1 activity prevents JUNB recruitment to RNA polymerase II and suppresses myofibroblast activation.</p>
<p> Conclusion:<br />3D chromatin accessibility acts as a dynamic filter of mechanical and biochemical signals during aging; AP‑1 and its regulatory network drive the age-specific chromatin remodeling that permits synergistic tension + TGF‑β responses in young fibroblasts, and AP‑1 inhibition blocks this activation, suggesting a potential therapeutic axis.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Chromatin accessibility regulates age- dependent nuclear mechanotransduction</p>
<p> First author:<br />Liao Y</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2522217123</p>
<p> Reference:<br />Liao Y, Land M, Gupta R, Yu L, Sornapudi TR, Shivashankar GV. Chromatin accessibility regulates age-dependent nuclear mechanotransduction. PNAS. 2026;123(13):e2522217123. doi:10.1073/pnas.2522217123. Published March 26, 2026.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-332-chromatin-age-mechanotransduction</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing covered the study’s central mechanistic story: aging as a chromatin-filter for mechanochemical signaling; AP-1 as master regulator; age-specific TF partnerships; the 3D collagen tension model; ATAC-seq/RNA-seq integration; and AP-1 perturbation experiments.<br />- transcript topics: Aging as chromatin-based signaling filter; 3D collagen gel tension model with glass ring; TGF-β signaling and mechanical tension synergy; AP-1 as master regulator; age-specific partners (JUNB vs HOXB13); ATAC-seq and RNA-seq integration; Perturbation experiments (siJUNB, T-5224, kinase inhibitors)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Young fibroblasts exhibit synergistic gene expression enhancement to combined mechanical tension and TGF-β; aging cells show a blunted/divergent response<br />- Quantified...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Liao Y et al., PNAS - Human dermal fibroblasts from young and old donors were embedded in 3D collagen and exposed to mechanical tension and TGF-β. Combining bulk RNA‑seq, ATAC‑seq, imaging, and perturbations, the study shows that matrix tension amplifies TGF‑β responses in young but not aged cells and identifies AP‑1 as a central chromatin-associated regulator required for fibroblast activation. Key terms: chromatin accessibility, mechanotransduction, aging, TGF-β signaling, AP-1.
 Study Highlights:Young fibroblasts under matrix tension mount a strong, synergistic transcriptional response to TGF‑β while aged fibroblasts exhibit blunted or divergent responses. Age-dependent differences in chromatin accessibility, notably at distal regulatory elements, correlate with these transcriptional outcomes. AP‑1 family motifs are highly enriched in TGF‑β- and age-responsive accessible regions and cooperate with age-specific TFs. Inhibiting AP‑1 activity prevents JUNB recruitment to RNA polymerase II and suppresses myofibroblast activation.
 Conclusion:3D chromatin accessibility acts as a dynamic filter of mechanical and biochemical signals during aging; AP‑1 and its regulatory network drive the age-specific chromatin remodeling that permits synergistic tension + TGF‑β responses in young fibroblasts, and AP‑1 inhibition blocks this activation, suggesting a potential therapeutic axis.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Chromatin accessibility regulates age- dependent nuclear mechanotransduction
 First author:Liao Y
 Journal:PNAS
 DOI:10.1073/pnas.2522217123
 Reference:Liao Y, Land M, Gupta R, Yu L, Sornapudi TR, Shivashankar GV. Chromatin accessibility regulates age-dependent nuclear mechanotransduction. PNAS. 2026;123(13):e2522217123. doi:10.1073/pnas.2522217123. Published March 26, 2026.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-332-chromatin-age-mechanotransduction
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing covered the study’s central mechanistic story: aging as a chromatin-filter for mechanochemical signaling; AP-1 as master regulator; age-specific TF partnerships; the 3D collagen tension model; ATAC-seq/RNA-seq integration; and AP-1 perturbation experiments.- transcript topics: Aging as chromatin-based signaling filter; 3D collagen gel tension model with glass ring; TGF-β signaling and mechanical tension synergy; AP-1 as master regulator; age-specific partners (JUNB vs HOXB13); ATAC-seq and RNA-seq integration; Perturbation experiments (siJUNB, T-5224, kinase inhibitors)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Young fibroblasts exhibit synergistic gene expression enhancement to combined mechanical tension and TGF-β; aging cells show a blunted/divergent response- Quantified...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[332: When Chromatin Filters Force: Age, AP-1, and Fibroblast Mechanotransduction]]>
                </itunes:title>
                                    <itunes:episode>332</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Liao Y et al., PNAS - Human dermal fibroblasts from young and old donors were embedded in 3D collagen and exposed to mechanical tension and TGF-β. Combining bulk RNA‑seq, ATAC‑seq, imaging, and perturbations, the study shows that matrix tension amplifies TGF‑β responses in young but not aged cells and identifies AP‑1 as a central chromatin-associated regulator required for fibroblast activation. Key terms: chromatin accessibility, mechanotransduction, aging, TGF-β signaling, AP-1.</p>
<p> Study Highlights:<br />Young fibroblasts under matrix tension mount a strong, synergistic transcriptional response to TGF‑β while aged fibroblasts exhibit blunted or divergent responses. Age-dependent differences in chromatin accessibility, notably at distal regulatory elements, correlate with these transcriptional outcomes. AP‑1 family motifs are highly enriched in TGF‑β- and age-responsive accessible regions and cooperate with age-specific TFs. Inhibiting AP‑1 activity prevents JUNB recruitment to RNA polymerase II and suppresses myofibroblast activation.</p>
<p> Conclusion:<br />3D chromatin accessibility acts as a dynamic filter of mechanical and biochemical signals during aging; AP‑1 and its regulatory network drive the age-specific chromatin remodeling that permits synergistic tension + TGF‑β responses in young fibroblasts, and AP‑1 inhibition blocks this activation, suggesting a potential therapeutic axis.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Chromatin accessibility regulates age- dependent nuclear mechanotransduction</p>
<p> First author:<br />Liao Y</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2522217123</p>
<p> Reference:<br />Liao Y, Land M, Gupta R, Yu L, Sornapudi TR, Shivashankar GV. Chromatin accessibility regulates age-dependent nuclear mechanotransduction. PNAS. 2026;123(13):e2522217123. doi:10.1073/pnas.2522217123. Published March 26, 2026.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-332-chromatin-age-mechanotransduction</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing covered the study’s central mechanistic story: aging as a chromatin-filter for mechanochemical signaling; AP-1 as master regulator; age-specific TF partnerships; the 3D collagen tension model; ATAC-seq/RNA-seq integration; and AP-1 perturbation experiments.<br />- transcript topics: Aging as chromatin-based signaling filter; 3D collagen gel tension model with glass ring; TGF-β signaling and mechanical tension synergy; AP-1 as master regulator; age-specific partners (JUNB vs HOXB13); ATAC-seq and RNA-seq integration; Perturbation experiments (siJUNB, T-5224, kinase inhibitors)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Young fibroblasts exhibit synergistic gene expression enhancement to combined mechanical tension and TGF-β; aging cells show a blunted/divergent response<br />- Quantified transcriptional shifts: 2128 DE genes in young vs 391 DE genes in old under dual stimulation<br />- AP-1 motifs are enriched in age- and TGF-β-responsive chromatin regions (DACRs)<br />- AP-1 partner usage is age-dependent: JUNB in young cells, HOXB13 in old cells<br />- Disruption of AP-1 (siJUNB or T-5224) suppresses TGF-β–mediated induction of α-SMA and COL1A1<br />- AP-1 recruitment to RNA Pol II is modulated by upstream kinases; JNK/p38/PI3K influence recruitment, ERK affects post-recruitment potency</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Liao Y et al., PNAS - Human dermal fibroblasts from young and old donors were embedded in 3D collagen and exposed to mechanical tension and TGF-β. Combining bulk RNA‑seq, ATAC‑seq, imaging, and perturbations, the study shows that matrix tension amplifies TGF‑β responses in young but not aged cells and identifies AP‑1 as a central chromatin-associated regulator required for fibroblast activation. Key terms: chromatin accessibility, mechanotransduction, aging, TGF-β signaling, AP-1.
 Study Highlights:Young fibroblasts under matrix tension mount a strong, synergistic transcriptional response to TGF‑β while aged fibroblasts exhibit blunted or divergent responses. Age-dependent differences in chromatin accessibility, notably at distal regulatory elements, correlate with these transcriptional outcomes. AP‑1 family motifs are highly enriched in TGF‑β- and age-responsive accessible regions and cooperate with age-specific TFs. Inhibiting AP‑1 activity prevents JUNB recruitment to RNA polymerase II and suppresses myofibroblast activation.
 Conclusion:3D chromatin accessibility acts as a dynamic filter of mechanical and biochemical signals during aging; AP‑1 and its regulatory network drive the age-specific chromatin remodeling that permits synergistic tension + TGF‑β responses in young fibroblasts, and AP‑1 inhibition blocks this activation, suggesting a potential therapeutic axis.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Chromatin accessibility regulates age- dependent nuclear mechanotransduction
 First author:Liao Y
 Journal:PNAS
 DOI:10.1073/pnas.2522217123
 Reference:Liao Y, Land M, Gupta R, Yu L, Sornapudi TR, Shivashankar GV. Chromatin accessibility regulates age-dependent nuclear mechanotransduction. PNAS. 2026;123(13):e2522217123. doi:10.1073/pnas.2522217123. Published March 26, 2026.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-332-chromatin-age-mechanotransduction
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-04-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing covered the study’s central mechanistic story: aging as a chromatin-filter for mechanochemical signaling; AP-1 as master regulator; age-specific TF partnerships; the 3D collagen tension model; ATAC-seq/RNA-seq integration; and AP-1 perturbation experiments.- transcript topics: Aging as chromatin-based signaling filter; 3D collagen gel tension model with glass ring; TGF-β signaling and mechanical tension synergy; AP-1 as master regulator; age-specific partners (JUNB vs HOXB13); ATAC-seq and RNA-seq integration; Perturbation experiments (siJUNB, T-5224, kinase inhibitors)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Young fibroblasts exhibit synergistic gene expression enhancement to combined mechanical tension and TGF-β; aging cells show a blunted/divergent response- Quantified...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2412283/c1a-p6xp7-ok03ovw7s7o6-ijy8x3.png"></itunes:image>
                                                                            <itunes:duration>00:22:31</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[331: Bi-allelic NDUFA5 variants and complex I mitochondriopathy]]>
                </title>
                <pubDate>Tue, 31 Mar 2026 07:28:12 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2410296</guid>
                                    <link>https://basebybase.castos.com/episodes/ndufa5-complex-i-mitochondriopathy</link>
                                <description>
                                            <![CDATA[<p>Tan et al et al., The American Journal of Human Genetics - This report identifies bi-allelic NDUFA5 variants in four individuals from three families causing an isolated mitochondrial complex I deficiency with variable multisystem features. The study combines genomic, transcriptomic, proteomic, biochemical, structural modeling, and zebrafish functional data to support pathogenicity. Key terms: NDUFA5, complex I deficiency, mitochondriopathy, proteomics, zebrafish model.</p>
<p> Study Highlights:<br />Bi-allelic NDUFA5 variants were found in four individuals from three unrelated families presenting with a variable multisystem phenotype including congenital heart defects, hematological abnormalities, and Leigh-like neurological features. Multi-tissue RNA-seq and RT-PCR revealed aberrant splicing and NMD, while proteomics and BN-PAGE demonstrated reduced NDUFA5 protein, isolated complex I deficiency, and stalled assembly at a Q/P intermediate. CRISPR-Cas9 ndufa5 zebrafish crispants showed developmental delays, locomotor deficits, reduced survival, and epileptiform neural activity, corroborating functional impact.</p>
<p> Conclusion:<br />Combined clinical, molecular, and animal-model evidence supports that bi-allelic NDUFA5 variants cause a recessive mitochondriopathy with isolated complex I deficiency and variable multisystem involvement; NDUFA5 should be considered in molecular reanalysis of undiagnosed complex I disorders.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in NDUFA5 cause a mitochondriopathy with complex I deficiency</p>
<p> First author:<br />Tan et al</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.03.003</p>
<p> Reference:<br />Tan et al., 2026, The American Journal of Human Genetics 113, 1–14, May 7, 2026. https://doi.org/10.1016/j.ajhg.2026.03.003</p>
<p> License:<br />CC BY (http://creativecommons.org/licenses/by/4.0/)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ndufa5-complex-i-mitochondriopathy</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-31.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing NDUFA5 variants, splicing consequences, proteomics/BN-PAGE findings, zebrafish model outcomes, and the diagnostic paradigm shift.<br />- transcript topics: Complex I biology and mitochondrial energy metabolism; Gene discovery via GeneMatcher and patient cohorts; NDUFA5 variant classes and their consequences; RNA sequencing and exon skipping due to synonymous variant; Protein abundance and complex I assembly defects; Blue native PAGE and assembly intermediates</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Bi-allelic NDUFA5 variants cause a mitochondrial complex I deficiency with multisystem disease<br />- Two distinct variant classes observed: frameshift + missense in Family 1; start-loss + synonymous splice variant in Family 2; homozygous synonymous splice variant in Family 3<br />- RNA-seq reveals aberrant splicing and nonsense-mediated decay for some alleles; exon 3 skipping yields a 39-amino-acid in-frame deletion<br />- Proteomics shows ma...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Tan et al et al., The American Journal of Human Genetics - This report identifies bi-allelic NDUFA5 variants in four individuals from three families causing an isolated mitochondrial complex I deficiency with variable multisystem features. The study combines genomic, transcriptomic, proteomic, biochemical, structural modeling, and zebrafish functional data to support pathogenicity. Key terms: NDUFA5, complex I deficiency, mitochondriopathy, proteomics, zebrafish model.
 Study Highlights:Bi-allelic NDUFA5 variants were found in four individuals from three unrelated families presenting with a variable multisystem phenotype including congenital heart defects, hematological abnormalities, and Leigh-like neurological features. Multi-tissue RNA-seq and RT-PCR revealed aberrant splicing and NMD, while proteomics and BN-PAGE demonstrated reduced NDUFA5 protein, isolated complex I deficiency, and stalled assembly at a Q/P intermediate. CRISPR-Cas9 ndufa5 zebrafish crispants showed developmental delays, locomotor deficits, reduced survival, and epileptiform neural activity, corroborating functional impact.
 Conclusion:Combined clinical, molecular, and animal-model evidence supports that bi-allelic NDUFA5 variants cause a recessive mitochondriopathy with isolated complex I deficiency and variable multisystem involvement; NDUFA5 should be considered in molecular reanalysis of undiagnosed complex I disorders.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in NDUFA5 cause a mitochondriopathy with complex I deficiency
 First author:Tan et al
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.03.003
 Reference:Tan et al., 2026, The American Journal of Human Genetics 113, 1–14, May 7, 2026. https://doi.org/10.1016/j.ajhg.2026.03.003
 License:CC BY (http://creativecommons.org/licenses/by/4.0/)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ndufa5-complex-i-mitochondriopathy
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-31.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing NDUFA5 variants, splicing consequences, proteomics/BN-PAGE findings, zebrafish model outcomes, and the diagnostic paradigm shift.- transcript topics: Complex I biology and mitochondrial energy metabolism; Gene discovery via GeneMatcher and patient cohorts; NDUFA5 variant classes and their consequences; RNA sequencing and exon skipping due to synonymous variant; Protein abundance and complex I assembly defects; Blue native PAGE and assembly intermediates
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Bi-allelic NDUFA5 variants cause a mitochondrial complex I deficiency with multisystem disease- Two distinct variant classes observed: frameshift + missense in Family 1; start-loss + synonymous splice variant in Family 2; homozygous synonymous splice variant in Family 3- RNA-seq reveals aberrant splicing and nonsense-mediated decay for some alleles; exon 3 skipping yields a 39-amino-acid in-frame deletion- Proteomics shows ma...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[331: Bi-allelic NDUFA5 variants and complex I mitochondriopathy]]>
                </itunes:title>
                                    <itunes:episode>331</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Tan et al et al., The American Journal of Human Genetics - This report identifies bi-allelic NDUFA5 variants in four individuals from three families causing an isolated mitochondrial complex I deficiency with variable multisystem features. The study combines genomic, transcriptomic, proteomic, biochemical, structural modeling, and zebrafish functional data to support pathogenicity. Key terms: NDUFA5, complex I deficiency, mitochondriopathy, proteomics, zebrafish model.</p>
<p> Study Highlights:<br />Bi-allelic NDUFA5 variants were found in four individuals from three unrelated families presenting with a variable multisystem phenotype including congenital heart defects, hematological abnormalities, and Leigh-like neurological features. Multi-tissue RNA-seq and RT-PCR revealed aberrant splicing and NMD, while proteomics and BN-PAGE demonstrated reduced NDUFA5 protein, isolated complex I deficiency, and stalled assembly at a Q/P intermediate. CRISPR-Cas9 ndufa5 zebrafish crispants showed developmental delays, locomotor deficits, reduced survival, and epileptiform neural activity, corroborating functional impact.</p>
<p> Conclusion:<br />Combined clinical, molecular, and animal-model evidence supports that bi-allelic NDUFA5 variants cause a recessive mitochondriopathy with isolated complex I deficiency and variable multisystem involvement; NDUFA5 should be considered in molecular reanalysis of undiagnosed complex I disorders.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in NDUFA5 cause a mitochondriopathy with complex I deficiency</p>
<p> First author:<br />Tan et al</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.03.003</p>
<p> Reference:<br />Tan et al., 2026, The American Journal of Human Genetics 113, 1–14, May 7, 2026. https://doi.org/10.1016/j.ajhg.2026.03.003</p>
<p> License:<br />CC BY (http://creativecommons.org/licenses/by/4.0/)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ndufa5-complex-i-mitochondriopathy</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-31.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing NDUFA5 variants, splicing consequences, proteomics/BN-PAGE findings, zebrafish model outcomes, and the diagnostic paradigm shift.<br />- transcript topics: Complex I biology and mitochondrial energy metabolism; Gene discovery via GeneMatcher and patient cohorts; NDUFA5 variant classes and their consequences; RNA sequencing and exon skipping due to synonymous variant; Protein abundance and complex I assembly defects; Blue native PAGE and assembly intermediates</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Bi-allelic NDUFA5 variants cause a mitochondrial complex I deficiency with multisystem disease<br />- Two distinct variant classes observed: frameshift + missense in Family 1; start-loss + synonymous splice variant in Family 2; homozygous synonymous splice variant in Family 3<br />- RNA-seq reveals aberrant splicing and nonsense-mediated decay for some alleles; exon 3 skipping yields a 39-amino-acid in-frame deletion<br />- Proteomics shows markedly reduced complex I abundance and undetectable NDUFA5 in affected individuals<br />- BN-PAGE shows assembly stall at the Q/P intermediately, with accumulation of specific subassemblies<br />- Zebrafish ndufa5 crispr mutants display developmental defects, locomotor impairment, seizures, and reduced survival</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2410296/c1e-n6z82czd87muo0onz-mkgnmrodiknp-mej9lu.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2410296&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fndufa5-complex-i-mitochondriopathy&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=c95c65cff6d0dd49319ae1e4e9c18bd63e04cdb5a3e42e9517a41b48f554cde6" length="38622573"
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                                <itunes:summary>
                    <![CDATA[Tan et al et al., The American Journal of Human Genetics - This report identifies bi-allelic NDUFA5 variants in four individuals from three families causing an isolated mitochondrial complex I deficiency with variable multisystem features. The study combines genomic, transcriptomic, proteomic, biochemical, structural modeling, and zebrafish functional data to support pathogenicity. Key terms: NDUFA5, complex I deficiency, mitochondriopathy, proteomics, zebrafish model.
 Study Highlights:Bi-allelic NDUFA5 variants were found in four individuals from three unrelated families presenting with a variable multisystem phenotype including congenital heart defects, hematological abnormalities, and Leigh-like neurological features. Multi-tissue RNA-seq and RT-PCR revealed aberrant splicing and NMD, while proteomics and BN-PAGE demonstrated reduced NDUFA5 protein, isolated complex I deficiency, and stalled assembly at a Q/P intermediate. CRISPR-Cas9 ndufa5 zebrafish crispants showed developmental delays, locomotor deficits, reduced survival, and epileptiform neural activity, corroborating functional impact.
 Conclusion:Combined clinical, molecular, and animal-model evidence supports that bi-allelic NDUFA5 variants cause a recessive mitochondriopathy with isolated complex I deficiency and variable multisystem involvement; NDUFA5 should be considered in molecular reanalysis of undiagnosed complex I disorders.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in NDUFA5 cause a mitochondriopathy with complex I deficiency
 First author:Tan et al
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.03.003
 Reference:Tan et al., 2026, The American Journal of Human Genetics 113, 1–14, May 7, 2026. https://doi.org/10.1016/j.ajhg.2026.03.003
 License:CC BY (http://creativecommons.org/licenses/by/4.0/)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ndufa5-complex-i-mitochondriopathy
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-31.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing NDUFA5 variants, splicing consequences, proteomics/BN-PAGE findings, zebrafish model outcomes, and the diagnostic paradigm shift.- transcript topics: Complex I biology and mitochondrial energy metabolism; Gene discovery via GeneMatcher and patient cohorts; NDUFA5 variant classes and their consequences; RNA sequencing and exon skipping due to synonymous variant; Protein abundance and complex I assembly defects; Blue native PAGE and assembly intermediates
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Bi-allelic NDUFA5 variants cause a mitochondrial complex I deficiency with multisystem disease- Two distinct variant classes observed: frameshift + missense in Family 1; start-loss + synonymous splice variant in Family 2; homozygous synonymous splice variant in Family 3- RNA-seq reveals aberrant splicing and nonsense-mediated decay for some alleles; exon 3 skipping yields a 39-amino-acid in-frame deletion- Proteomics shows ma...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2410296/c1a-p6xp7-0v02z656ugo0-ucyuhm.png"></itunes:image>
                                                                            <itunes:duration>00:26:50</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[330: 5ULTRA: Mapping 5′ UTR variants that alter protein translation]]>
                </title>
                <pubDate>Mon, 30 Mar 2026 06:50:35 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2409077</guid>
                                    <link>https://basebybase.castos.com/episodes/5ultra-5utr-variants</link>
                                <description>
                                            <![CDATA[<p>Chaldebas M et al., The American Journal of Human Genetics - Chaldebas et al. present 5ULTRA, a computational pipeline that integrates uORF databases, Kozak-motif features, splicing prediction, and a random-forest score to detect and prioritize 5′ UTR variants predicted to alter protein translation. The score correlates with proteomic and MPRA measures and is applied to population, somatic, GWAS, and rare-disease datasets to nominate candidate functional variants. Key terms: 5' UTR, uORF, Kozak motif, translation regulation, machine learning.</p>
<p> Study Highlights:<br />The authors developed 5ULTRA to annotate SNVs, indels, and splicing variants that create/disrupt uORFs or alter Kozak strength, integrating comprehensive uORF databases and SpliceAI. A random-forest 5ULTRA score trained on HGMD and gnomAD distinguishes likely translation-impacting variants and achieved strong cross-validation performance and AUC = 0.82 on an independent ClinVar test. The score correlates with cis-pQTL effect sizes (Spearman rho = 0.57) and with MPRA ribosome-load measurements (rho = 0.78). Genome-wide screening found thousands of candidate variants, highlighted rare/conserved signals in disease genes, and nominated examples in cancer, GWAS loci, and rare infections.</p>
<p> Conclusion:<br />5ULTRA provides a validated, transcript-aware framework to detect and prioritize 5′ UTR variants that modulate translation, offering mechanistic hypotheses for noncoding variant interpretation in rare disease, cancer, and complex-trait genetics; the tool and data are publicly available under a CC BY license.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing focused on the scientific content described in the transcript and its alignment with the AJHG article: 5ULTRA architecture, features, SpliceAI integration, validation metrics, somatic/GWAS/infectious disease applications, limitations, and open-source availability.<br />- transcript topics: 5′ UTR regulatory elements (Kozak motif, uORFs) and translation initiation; 5ULTRA methodology and data integration (MANE transcripts, uORFdb, Ribo-uORF, SpliceAI); Machine-learning scoring (17 features; PhyloP conservation as key predictor; uORF/k Kozak annotations); Model validation (ClinVar, cross-validation AUC, accuracy); Correlation with proteomics and MPRA data (cis-pQTL, ΔMRL); Somatic cancer applications (NRAS and ABI1 examples; splicing effects; N-terminal extensions)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 5ULTRA identifes and prioritizes 5′ UTR variants that affect translation via uORFs and Kozak motifs<br />- 17 features used by the 5ULTRA random forest model; PhyloP conservation of uORF start codon as the strongest predictor<br />- Genome-wide analysis: ~28 million 5′ UTR variants; ~137k predicted to affect translation via URFs or Kozak changes<br />- ClinVar independent test AUC ≈ 0.82 and ClinVar threshold-based accuracy ≈ 80.8%<br />- Cross-validation 5-fold AUC ≈ 0.981; MPRA and pQTL data show concordant translation effects (ΔMRL, Spearman ρ values ~0.78; 5ULTRA vs cis-pQTL ρ ≈ 0.57)</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:08) - Genome Wide Detection of Human 5 UTR Variants</li><li>(00:06:41) - How a Deep Learning Algorithm Can Identify Dangerous Human Variants</li><li>(00:12:35) - 5 Ultra: The computational genetics of cancer</li><li>(00:18:46) - How to decode the secrets of the human genome</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Chaldebas M et al., The American Journal of Human Genetics - Chaldebas et al. present 5ULTRA, a computational pipeline that integrates uORF databases, Kozak-motif features, splicing prediction, and a random-forest score to detect and prioritize 5′ UTR variants predicted to alter protein translation. The score correlates with proteomic and MPRA measures and is applied to population, somatic, GWAS, and rare-disease datasets to nominate candidate functional variants. Key terms: 5' UTR, uORF, Kozak motif, translation regulation, machine learning.
 Study Highlights:The authors developed 5ULTRA to annotate SNVs, indels, and splicing variants that create/disrupt uORFs or alter Kozak strength, integrating comprehensive uORF databases and SpliceAI. A random-forest 5ULTRA score trained on HGMD and gnomAD distinguishes likely translation-impacting variants and achieved strong cross-validation performance and AUC = 0.82 on an independent ClinVar test. The score correlates with cis-pQTL effect sizes (Spearman rho = 0.57) and with MPRA ribosome-load measurements (rho = 0.78). Genome-wide screening found thousands of candidate variants, highlighted rare/conserved signals in disease genes, and nominated examples in cancer, GWAS loci, and rare infections.
 Conclusion:5ULTRA provides a validated, transcript-aware framework to detect and prioritize 5′ UTR variants that modulate translation, offering mechanistic hypotheses for noncoding variant interpretation in rare disease, cancer, and complex-trait genetics; the tool and data are publicly available under a CC BY license.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing focused on the scientific content described in the transcript and its alignment with the AJHG article: 5ULTRA architecture, features, SpliceAI integration, validation metrics, somatic/GWAS/infectious disease applications, limitations, and open-source availability.- transcript topics: 5′ UTR regulatory elements (Kozak motif, uORFs) and translation initiation; 5ULTRA methodology and data integration (MANE transcripts, uORFdb, Ribo-uORF, SpliceAI); Machine-learning scoring (17 features; PhyloP conservation as key predictor; uORF/k Kozak annotations); Model validation (ClinVar, cross-validation AUC, accuracy); Correlation with proteomics and MPRA data (cis-pQTL, ΔMRL); Somatic cancer applications (NRAS and ABI1 examples; splicing effects; N-terminal extensions)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 5ULTRA identifes and prioritizes 5′ UTR variants that affect translation via uORFs and Kozak motifs- 17 features used by the 5ULTRA random forest model; PhyloP conservation of uORF start codon as the strongest predictor- Genome-wide analysis: ~28 million 5′ UTR variants; ~137k predicted to affect translation via URFs or Kozak changes- ClinVar independent test AUC ≈ 0.82 and ClinVar threshold-based accuracy ≈ 80.8%- Cross-validation 5-fold AUC ≈ 0.981; MPRA and pQTL data show concordant translation effects (ΔMRL, Spearman ρ values ~0.78; 5ULTRA vs cis-pQTL ρ ≈ 0.57)
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[330: 5ULTRA: Mapping 5′ UTR variants that alter protein translation]]>
                </itunes:title>
                                    <itunes:episode>330</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Chaldebas M et al., The American Journal of Human Genetics - Chaldebas et al. present 5ULTRA, a computational pipeline that integrates uORF databases, Kozak-motif features, splicing prediction, and a random-forest score to detect and prioritize 5′ UTR variants predicted to alter protein translation. The score correlates with proteomic and MPRA measures and is applied to population, somatic, GWAS, and rare-disease datasets to nominate candidate functional variants. Key terms: 5' UTR, uORF, Kozak motif, translation regulation, machine learning.</p>
<p> Study Highlights:<br />The authors developed 5ULTRA to annotate SNVs, indels, and splicing variants that create/disrupt uORFs or alter Kozak strength, integrating comprehensive uORF databases and SpliceAI. A random-forest 5ULTRA score trained on HGMD and gnomAD distinguishes likely translation-impacting variants and achieved strong cross-validation performance and AUC = 0.82 on an independent ClinVar test. The score correlates with cis-pQTL effect sizes (Spearman rho = 0.57) and with MPRA ribosome-load measurements (rho = 0.78). Genome-wide screening found thousands of candidate variants, highlighted rare/conserved signals in disease genes, and nominated examples in cancer, GWAS loci, and rare infections.</p>
<p> Conclusion:<br />5ULTRA provides a validated, transcript-aware framework to detect and prioritize 5′ UTR variants that modulate translation, offering mechanistic hypotheses for noncoding variant interpretation in rare disease, cancer, and complex-trait genetics; the tool and data are publicly available under a CC BY license.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing focused on the scientific content described in the transcript and its alignment with the AJHG article: 5ULTRA architecture, features, SpliceAI integration, validation metrics, somatic/GWAS/infectious disease applications, limitations, and open-source availability.<br />- transcript topics: 5′ UTR regulatory elements (Kozak motif, uORFs) and translation initiation; 5ULTRA methodology and data integration (MANE transcripts, uORFdb, Ribo-uORF, SpliceAI); Machine-learning scoring (17 features; PhyloP conservation as key predictor; uORF/k Kozak annotations); Model validation (ClinVar, cross-validation AUC, accuracy); Correlation with proteomics and MPRA data (cis-pQTL, ΔMRL); Somatic cancer applications (NRAS and ABI1 examples; splicing effects; N-terminal extensions)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 5ULTRA identifes and prioritizes 5′ UTR variants that affect translation via uORFs and Kozak motifs<br />- 17 features used by the 5ULTRA random forest model; PhyloP conservation of uORF start codon as the strongest predictor<br />- Genome-wide analysis: ~28 million 5′ UTR variants; ~137k predicted to affect translation via URFs or Kozak changes<br />- ClinVar independent test AUC ≈ 0.82 and ClinVar threshold-based accuracy ≈ 80.8%<br />- Cross-validation 5-fold AUC ≈ 0.981; MPRA and pQTL data show concordant translation effects (ΔMRL, Spearman ρ values ~0.78; 5ULTRA vs cis-pQTL ρ ≈ 0.57)</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Chaldebas M et al., The American Journal of Human Genetics - Chaldebas et al. present 5ULTRA, a computational pipeline that integrates uORF databases, Kozak-motif features, splicing prediction, and a random-forest score to detect and prioritize 5′ UTR variants predicted to alter protein translation. The score correlates with proteomic and MPRA measures and is applied to population, somatic, GWAS, and rare-disease datasets to nominate candidate functional variants. Key terms: 5' UTR, uORF, Kozak motif, translation regulation, machine learning.
 Study Highlights:The authors developed 5ULTRA to annotate SNVs, indels, and splicing variants that create/disrupt uORFs or alter Kozak strength, integrating comprehensive uORF databases and SpliceAI. A random-forest 5ULTRA score trained on HGMD and gnomAD distinguishes likely translation-impacting variants and achieved strong cross-validation performance and AUC = 0.82 on an independent ClinVar test. The score correlates with cis-pQTL effect sizes (Spearman rho = 0.57) and with MPRA ribosome-load measurements (rho = 0.78). Genome-wide screening found thousands of candidate variants, highlighted rare/conserved signals in disease genes, and nominated examples in cancer, GWAS loci, and rare infections.
 Conclusion:5ULTRA provides a validated, transcript-aware framework to detect and prioritize 5′ UTR variants that modulate translation, offering mechanistic hypotheses for noncoding variant interpretation in rare disease, cancer, and complex-trait genetics; the tool and data are publicly available under a CC BY license.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing focused on the scientific content described in the transcript and its alignment with the AJHG article: 5ULTRA architecture, features, SpliceAI integration, validation metrics, somatic/GWAS/infectious disease applications, limitations, and open-source availability.- transcript topics: 5′ UTR regulatory elements (Kozak motif, uORFs) and translation initiation; 5ULTRA methodology and data integration (MANE transcripts, uORFdb, Ribo-uORF, SpliceAI); Machine-learning scoring (17 features; PhyloP conservation as key predictor; uORF/k Kozak annotations); Model validation (ClinVar, cross-validation AUC, accuracy); Correlation with proteomics and MPRA data (cis-pQTL, ΔMRL); Somatic cancer applications (NRAS and ABI1 examples; splicing effects; N-terminal extensions)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 5ULTRA identifes and prioritizes 5′ UTR variants that affect translation via uORFs and Kozak motifs- 17 features used by the 5ULTRA random forest model; PhyloP conservation of uORF start codon as the strongest predictor- Genome-wide analysis: ~28 million 5′ UTR variants; ~137k predicted to affect translation via URFs or Kozak changes- ClinVar independent test AUC ≈ 0.82 and ClinVar threshold-based accuracy ≈ 80.8%- Cross-validation 5-fold AUC ≈ 0.981; MPRA and pQTL data show concordant translation effects (ΔMRL, Spearman ρ values ~0.78; 5ULTRA vs cis-pQTL ρ ≈ 0.57)
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2409077/c1a-p6xp7-jpxj5m2gbjd0-m2j13f.png"></itunes:image>
                                                                            <itunes:duration>00:22:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2409077/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[329: Large future genetic diversity losses predicted despite habitat protection]]>
                </title>
                <pubDate>Mon, 30 Mar 2026 06:04:15 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2409063</guid>
                                    <link>https://basebybase.castos.com/episodes/predicting-genetic-diversity-losses-329</link>
                                <description>
                                            <![CDATA[<p>Mualim KS et al., Proceedings of the National Academy of Sciences - This study develops spatiotemporal population-genetic models calibrated with genomic data to predict how habitat loss and fragmentation drive changes in nucleotide diversity (π). The authors translate IUCN, Living Planet Index, and GBF indicators into estimates of current and future genetic diversity loss across thousands of species. Key terms: genetic diversity, habitat loss, fragmentation, WFmoments, conservation indicators.</p>
<p> Study Highlights:<br />The authors built WFmoments and SLiM-based spatiotemporal frameworks and calibrated them with population-scale genomic data from 29 species to model π dynamics after habitat loss. They translated demographic proxies from the IUCN Red List, Living Planet Index, and GBF indicators for 4,611 species to estimate genetic diversity declines. Short-term π loss is often modest, but mid- and long-term losses lag behind habitat declines and can be substantially larger, with average estimates ranging from ~1–13% already lost and mid-term projections much higher under some datasets. Habitat fragmentation can inflate species-wide π while reducing within-population diversity, and recovery of genetic diversity after restoration is slow.</p>
<p> Conclusion:<br />Habitat protection alone is insufficient to guarantee long-term genetic health; conservation should incorporate genetic monitoring, connectivity restoration, and policies informed by spatiotemporal genetic forecasts.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Large future genetic diversity losses are predicted from conservation indicators even with habitat protection</p>
<p> First author:<br />Mualim KS</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences</p>
<p> DOI:<br />10.1073/pnas.2514371123</p>
<p> Reference:<br />Mualim KS, Spence JP, Weiß C, Selmoni O, Lin M, Exposito-Alonso M. Large future genetic diversity losses are predicted from conservation indicators even with habitat protection. Proc. Natl. Acad. Sci. U.S.A. 2026. doi:10.1073/pnas.2514371123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/predicting-genetic-diversity-losses-329</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s coverage of the article’s methods (WFmoments, GDAR), habitat-loss scenarios (edge contraction vs fragmentation), key results (short-term vs long-term π losses, wallund/Wahlund effect), real-world examples (Miami Blue Butterfly, Torrey Pine, E. melliodora), and global-scale predictions; excluded<br />- transcript topics: Genetic diversity concept (π) and proxies; WFmoments framework and GDAR; Edge contraction vs fragmentation habitat-loss patterns; Wahlund/Wahlund-like effects and fragmentation inflation; Spatial population structure (FST) and migration; Empirical calibration: 29 species and 4,611 species predictions</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- licen...</p>
<h3>Chapters</h3>
<ul><li>(00:00:20) - What's the Hidden Crisis of Genetic Diversity?</li><li>(00:06:09) - How Human Development Is Wiping Out Genetic Diversity</li><li>(00:11:02) - The Walland Effect on species</li><li>(00:13:13) - The ticking time bomb of genetic diversity</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Mualim KS et al., Proceedings of the National Academy of Sciences - This study develops spatiotemporal population-genetic models calibrated with genomic data to predict how habitat loss and fragmentation drive changes in nucleotide diversity (π). The authors translate IUCN, Living Planet Index, and GBF indicators into estimates of current and future genetic diversity loss across thousands of species. Key terms: genetic diversity, habitat loss, fragmentation, WFmoments, conservation indicators.
 Study Highlights:The authors built WFmoments and SLiM-based spatiotemporal frameworks and calibrated them with population-scale genomic data from 29 species to model π dynamics after habitat loss. They translated demographic proxies from the IUCN Red List, Living Planet Index, and GBF indicators for 4,611 species to estimate genetic diversity declines. Short-term π loss is often modest, but mid- and long-term losses lag behind habitat declines and can be substantially larger, with average estimates ranging from ~1–13% already lost and mid-term projections much higher under some datasets. Habitat fragmentation can inflate species-wide π while reducing within-population diversity, and recovery of genetic diversity after restoration is slow.
 Conclusion:Habitat protection alone is insufficient to guarantee long-term genetic health; conservation should incorporate genetic monitoring, connectivity restoration, and policies informed by spatiotemporal genetic forecasts.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Large future genetic diversity losses are predicted from conservation indicators even with habitat protection
 First author:Mualim KS
 Journal:Proceedings of the National Academy of Sciences
 DOI:10.1073/pnas.2514371123
 Reference:Mualim KS, Spence JP, Weiß C, Selmoni O, Lin M, Exposito-Alonso M. Large future genetic diversity losses are predicted from conservation indicators even with habitat protection. Proc. Natl. Acad. Sci. U.S.A. 2026. doi:10.1073/pnas.2514371123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/predicting-genetic-diversity-losses-329
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s coverage of the article’s methods (WFmoments, GDAR), habitat-loss scenarios (edge contraction vs fragmentation), key results (short-term vs long-term π losses, wallund/Wahlund effect), real-world examples (Miami Blue Butterfly, Torrey Pine, E. melliodora), and global-scale predictions; excluded- transcript topics: Genetic diversity concept (π) and proxies; WFmoments framework and GDAR; Edge contraction vs fragmentation habitat-loss patterns; Wahlund/Wahlund-like effects and fragmentation inflation; Spatial population structure (FST) and migration; Empirical calibration: 29 species and 4,611 species predictions
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- licen...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[329: Large future genetic diversity losses predicted despite habitat protection]]>
                </itunes:title>
                                    <itunes:episode>329</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Mualim KS et al., Proceedings of the National Academy of Sciences - This study develops spatiotemporal population-genetic models calibrated with genomic data to predict how habitat loss and fragmentation drive changes in nucleotide diversity (π). The authors translate IUCN, Living Planet Index, and GBF indicators into estimates of current and future genetic diversity loss across thousands of species. Key terms: genetic diversity, habitat loss, fragmentation, WFmoments, conservation indicators.</p>
<p> Study Highlights:<br />The authors built WFmoments and SLiM-based spatiotemporal frameworks and calibrated them with population-scale genomic data from 29 species to model π dynamics after habitat loss. They translated demographic proxies from the IUCN Red List, Living Planet Index, and GBF indicators for 4,611 species to estimate genetic diversity declines. Short-term π loss is often modest, but mid- and long-term losses lag behind habitat declines and can be substantially larger, with average estimates ranging from ~1–13% already lost and mid-term projections much higher under some datasets. Habitat fragmentation can inflate species-wide π while reducing within-population diversity, and recovery of genetic diversity after restoration is slow.</p>
<p> Conclusion:<br />Habitat protection alone is insufficient to guarantee long-term genetic health; conservation should incorporate genetic monitoring, connectivity restoration, and policies informed by spatiotemporal genetic forecasts.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Large future genetic diversity losses are predicted from conservation indicators even with habitat protection</p>
<p> First author:<br />Mualim KS</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences</p>
<p> DOI:<br />10.1073/pnas.2514371123</p>
<p> Reference:<br />Mualim KS, Spence JP, Weiß C, Selmoni O, Lin M, Exposito-Alonso M. Large future genetic diversity losses are predicted from conservation indicators even with habitat protection. Proc. Natl. Acad. Sci. U.S.A. 2026. doi:10.1073/pnas.2514371123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/predicting-genetic-diversity-losses-329</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s coverage of the article’s methods (WFmoments, GDAR), habitat-loss scenarios (edge contraction vs fragmentation), key results (short-term vs long-term π losses, wallund/Wahlund effect), real-world examples (Miami Blue Butterfly, Torrey Pine, E. melliodora), and global-scale predictions; excluded<br />- transcript topics: Genetic diversity concept (π) and proxies; WFmoments framework and GDAR; Edge contraction vs fragmentation habitat-loss patterns; Wahlund/Wahlund-like effects and fragmentation inflation; Spatial population structure (FST) and migration; Empirical calibration: 29 species and 4,611 species predictions</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Short-term π diversity loss after habitat loss is 1–13% (GDAR/π dynamics).<br />- Long-term π diversity loss lags behind habitat loss and depends on population structure; strongly structured populations show about 27% long-term loss after 50% habitat loss.<br />- Fragmentation can inflate species-wide π diversity due to the Wahlund effect, with increases up to about 263%.<br />- Within-population diversity (πlocal) declines under fragmentation, even when species-wide π appears elevated.<br />- Genetic diversity recovery after habitat restoration is slow and may take thousands to millions of generations; restoration does not rapidly rebuild lost genetic codes.<br />- Miami Blue Butterfly example predicts mid-term genetic collapse in about 12.5 years (given specific population parameters).</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Mualim KS et al., Proceedings of the National Academy of Sciences - This study develops spatiotemporal population-genetic models calibrated with genomic data to predict how habitat loss and fragmentation drive changes in nucleotide diversity (π). The authors translate IUCN, Living Planet Index, and GBF indicators into estimates of current and future genetic diversity loss across thousands of species. Key terms: genetic diversity, habitat loss, fragmentation, WFmoments, conservation indicators.
 Study Highlights:The authors built WFmoments and SLiM-based spatiotemporal frameworks and calibrated them with population-scale genomic data from 29 species to model π dynamics after habitat loss. They translated demographic proxies from the IUCN Red List, Living Planet Index, and GBF indicators for 4,611 species to estimate genetic diversity declines. Short-term π loss is often modest, but mid- and long-term losses lag behind habitat declines and can be substantially larger, with average estimates ranging from ~1–13% already lost and mid-term projections much higher under some datasets. Habitat fragmentation can inflate species-wide π while reducing within-population diversity, and recovery of genetic diversity after restoration is slow.
 Conclusion:Habitat protection alone is insufficient to guarantee long-term genetic health; conservation should incorporate genetic monitoring, connectivity restoration, and policies informed by spatiotemporal genetic forecasts.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Large future genetic diversity losses are predicted from conservation indicators even with habitat protection
 First author:Mualim KS
 Journal:Proceedings of the National Academy of Sciences
 DOI:10.1073/pnas.2514371123
 Reference:Mualim KS, Spence JP, Weiß C, Selmoni O, Lin M, Exposito-Alonso M. Large future genetic diversity losses are predicted from conservation indicators even with habitat protection. Proc. Natl. Acad. Sci. U.S.A. 2026. doi:10.1073/pnas.2514371123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/predicting-genetic-diversity-losses-329
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s coverage of the article’s methods (WFmoments, GDAR), habitat-loss scenarios (edge contraction vs fragmentation), key results (short-term vs long-term π losses, wallund/Wahlund effect), real-world examples (Miami Blue Butterfly, Torrey Pine, E. melliodora), and global-scale predictions; excluded- transcript topics: Genetic diversity concept (π) and proxies; WFmoments framework and GDAR; Edge contraction vs fragmentation habitat-loss patterns; Wahlund/Wahlund-like effects and fragmentation inflation; Spatial population structure (FST) and migration; Empirical calibration: 29 species and 4,611 species predictions
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- licen...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:22:16</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[328: Variant selection boosts R2 for haptoglobin (HP) in cis‑Mendelian randomization]]>
                </title>
                <pubDate>Fri, 27 Mar 2026 08:32:26 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2407054</guid>
                                    <link>https://basebybase.castos.com/episodes/hp-variant-selection-cis-mr</link>
                                <description>
                                            <![CDATA[<p>Zhou A et al., Human Genetics and Genomics Advances - Comparing LD‑pruning, COJO, SuSiE and PCA in haptoglobin (HP) cis‑region data, the study finds including non‑lead variants substantially increases variance explained (R2) and MR precision. Key terms: haptoglobin, cis-Mendelian randomization, LD-pruning, SuSiE, COJO.</p>
<p> Study Highlights:<br />The study analyzed circulating haptoglobin (HP) using Fenland protein GWAS summary statistics with LD from UK Biobank, compared four variant selection methods (modified LD‑pruning, COJO, SuSiE, PCA), and extended results with simulations and 15 additional gene regions. In the HP region, incorporating non‑lead variants produced a median proportional gain in R2 of 145.1% and a median reduction in MR standard error of 36.3% relative to the lead variant alone. In simulations with one or two causal variants the methods recovered the expected genetic variance (≈40%) and, when causal variants were removed, non‑lead‑inclusive methods recovered more variance than lead‑only. The functional implication supported by the data is that including correlated non‑lead variants can materially increase instrument strength and precision in cis‑MR, but may raise risks of pleiotropy and numerical instability.</p>
<p> Conclusion:<br />Variant selection methods that incorporate correlated non‑lead variants reliably improve instrument strength (R2) and MR precision in cis‑MR compared with the lead‑variant‑only approach; comparisons with the lead variant are advised to detect instability.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Variant selection to maximize variance explained in cis-Mendelian randomization</p>
<p> First author:<br />Zhou A</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100573</p>
<p> Reference:<br />Zhou A, Karhunen V, Tian H, Pott J, Patel A, Slob EAW, Burgess S. Variant selection to maximize variance explained in cis-Mendelian randomization. Human Genetics and Genomics Advances. 2026 Apr 9;7:100573. https://doi.org/10.1016/j.xhgg.2026.100573.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/hp-variant-selection-cis-mr</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing: (1) the four variant selection methods and their rationale; (2) HP region results including R2 gains and SE reductions; (3) simulation studies with known causal variance (40%); (4) extension to 15 gene regions; (5) pleiotropy concerns and safeguards; (6) practical recommendat<br />- transcript topics: Four variant selection methods (LD-pruning, COJO, SuSiE, PCA); Modified LD-pruning with adjusted R2 and LD-matrix checks; HP region results: variance explained (R2) gains and MR precision; Simulations with known causal variance (40%); Two-causal-variant scenario and lead variant variance explained; Extension to 15 additional gene regions</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- articl...</p>
<h3>Chapters</h3>
<ul><li>(00:00:20) - How a single matrix can cripple genomics</li><li>(00:01:34) - Deep Dive: The Search for genetic instruments without breaking the math</li><li>(00:05:59) - The Hidden Problem with Standard LD Pruning</li><li>(00:11:13) - The Lead Variants vs Non-Lead variants in disease prediction</li><li>(00:15:27) - Multivariant Analysis: The Right Mix of Variants</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zhou A et al., Human Genetics and Genomics Advances - Comparing LD‑pruning, COJO, SuSiE and PCA in haptoglobin (HP) cis‑region data, the study finds including non‑lead variants substantially increases variance explained (R2) and MR precision. Key terms: haptoglobin, cis-Mendelian randomization, LD-pruning, SuSiE, COJO.
 Study Highlights:The study analyzed circulating haptoglobin (HP) using Fenland protein GWAS summary statistics with LD from UK Biobank, compared four variant selection methods (modified LD‑pruning, COJO, SuSiE, PCA), and extended results with simulations and 15 additional gene regions. In the HP region, incorporating non‑lead variants produced a median proportional gain in R2 of 145.1% and a median reduction in MR standard error of 36.3% relative to the lead variant alone. In simulations with one or two causal variants the methods recovered the expected genetic variance (≈40%) and, when causal variants were removed, non‑lead‑inclusive methods recovered more variance than lead‑only. The functional implication supported by the data is that including correlated non‑lead variants can materially increase instrument strength and precision in cis‑MR, but may raise risks of pleiotropy and numerical instability.
 Conclusion:Variant selection methods that incorporate correlated non‑lead variants reliably improve instrument strength (R2) and MR precision in cis‑MR compared with the lead‑variant‑only approach; comparisons with the lead variant are advised to detect instability.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Variant selection to maximize variance explained in cis-Mendelian randomization
 First author:Zhou A
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100573
 Reference:Zhou A, Karhunen V, Tian H, Pott J, Patel A, Slob EAW, Burgess S. Variant selection to maximize variance explained in cis-Mendelian randomization. Human Genetics and Genomics Advances. 2026 Apr 9;7:100573. https://doi.org/10.1016/j.xhgg.2026.100573.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/hp-variant-selection-cis-mr
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing: (1) the four variant selection methods and their rationale; (2) HP region results including R2 gains and SE reductions; (3) simulation studies with known causal variance (40%); (4) extension to 15 gene regions; (5) pleiotropy concerns and safeguards; (6) practical recommendat- transcript topics: Four variant selection methods (LD-pruning, COJO, SuSiE, PCA); Modified LD-pruning with adjusted R2 and LD-matrix checks; HP region results: variance explained (R2) gains and MR precision; Simulations with known causal variance (40%); Two-causal-variant scenario and lead variant variance explained; Extension to 15 additional gene regions
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- articl...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[328: Variant selection boosts R2 for haptoglobin (HP) in cis‑Mendelian randomization]]>
                </itunes:title>
                                    <itunes:episode>328</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zhou A et al., Human Genetics and Genomics Advances - Comparing LD‑pruning, COJO, SuSiE and PCA in haptoglobin (HP) cis‑region data, the study finds including non‑lead variants substantially increases variance explained (R2) and MR precision. Key terms: haptoglobin, cis-Mendelian randomization, LD-pruning, SuSiE, COJO.</p>
<p> Study Highlights:<br />The study analyzed circulating haptoglobin (HP) using Fenland protein GWAS summary statistics with LD from UK Biobank, compared four variant selection methods (modified LD‑pruning, COJO, SuSiE, PCA), and extended results with simulations and 15 additional gene regions. In the HP region, incorporating non‑lead variants produced a median proportional gain in R2 of 145.1% and a median reduction in MR standard error of 36.3% relative to the lead variant alone. In simulations with one or two causal variants the methods recovered the expected genetic variance (≈40%) and, when causal variants were removed, non‑lead‑inclusive methods recovered more variance than lead‑only. The functional implication supported by the data is that including correlated non‑lead variants can materially increase instrument strength and precision in cis‑MR, but may raise risks of pleiotropy and numerical instability.</p>
<p> Conclusion:<br />Variant selection methods that incorporate correlated non‑lead variants reliably improve instrument strength (R2) and MR precision in cis‑MR compared with the lead‑variant‑only approach; comparisons with the lead variant are advised to detect instability.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Variant selection to maximize variance explained in cis-Mendelian randomization</p>
<p> First author:<br />Zhou A</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100573</p>
<p> Reference:<br />Zhou A, Karhunen V, Tian H, Pott J, Patel A, Slob EAW, Burgess S. Variant selection to maximize variance explained in cis-Mendelian randomization. Human Genetics and Genomics Advances. 2026 Apr 9;7:100573. https://doi.org/10.1016/j.xhgg.2026.100573.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/hp-variant-selection-cis-mr</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing: (1) the four variant selection methods and their rationale; (2) HP region results including R2 gains and SE reductions; (3) simulation studies with known causal variance (40%); (4) extension to 15 gene regions; (5) pleiotropy concerns and safeguards; (6) practical recommendat<br />- transcript topics: Four variant selection methods (LD-pruning, COJO, SuSiE, PCA); Modified LD-pruning with adjusted R2 and LD-matrix checks; HP region results: variance explained (R2) gains and MR precision; Simulations with known causal variance (40%); Two-causal-variant scenario and lead variant variance explained; Extension to 15 additional gene regions</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Variant selection methods tested: LD-pruning, COJO, SuSiE, and PCA<br />- HP region results: median proportional gain in R2 of 145.1% and median MR SE reduction of 36.3%<br />- Simulations recovered about 40% variance explained across methods<br />- Across 15 gene regions, non-lead variant methods outperformed lead-variant-only approach<br />- Recommendation to compare multivariant estimates with lead-variant-only baseline<br />- ABO locus cited as a pleiotropy risk example</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Zhou A et al., Human Genetics and Genomics Advances - Comparing LD‑pruning, COJO, SuSiE and PCA in haptoglobin (HP) cis‑region data, the study finds including non‑lead variants substantially increases variance explained (R2) and MR precision. Key terms: haptoglobin, cis-Mendelian randomization, LD-pruning, SuSiE, COJO.
 Study Highlights:The study analyzed circulating haptoglobin (HP) using Fenland protein GWAS summary statistics with LD from UK Biobank, compared four variant selection methods (modified LD‑pruning, COJO, SuSiE, PCA), and extended results with simulations and 15 additional gene regions. In the HP region, incorporating non‑lead variants produced a median proportional gain in R2 of 145.1% and a median reduction in MR standard error of 36.3% relative to the lead variant alone. In simulations with one or two causal variants the methods recovered the expected genetic variance (≈40%) and, when causal variants were removed, non‑lead‑inclusive methods recovered more variance than lead‑only. The functional implication supported by the data is that including correlated non‑lead variants can materially increase instrument strength and precision in cis‑MR, but may raise risks of pleiotropy and numerical instability.
 Conclusion:Variant selection methods that incorporate correlated non‑lead variants reliably improve instrument strength (R2) and MR precision in cis‑MR compared with the lead‑variant‑only approach; comparisons with the lead variant are advised to detect instability.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Variant selection to maximize variance explained in cis-Mendelian randomization
 First author:Zhou A
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100573
 Reference:Zhou A, Karhunen V, Tian H, Pott J, Patel A, Slob EAW, Burgess S. Variant selection to maximize variance explained in cis-Mendelian randomization. Human Genetics and Genomics Advances. 2026 Apr 9;7:100573. https://doi.org/10.1016/j.xhgg.2026.100573.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/hp-variant-selection-cis-mr
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing: (1) the four variant selection methods and their rationale; (2) HP region results including R2 gains and SE reductions; (3) simulation studies with known causal variance (40%); (4) extension to 15 gene regions; (5) pleiotropy concerns and safeguards; (6) practical recommendat- transcript topics: Four variant selection methods (LD-pruning, COJO, SuSiE, PCA); Modified LD-pruning with adjusted R2 and LD-matrix checks; HP region results: variance explained (R2) gains and MR precision; Simulations with known causal variance (40%); Two-causal-variant scenario and lead variant variance explained; Extension to 15 additional gene regions
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- articl...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2407054/c1a-p6xp7-gpjk8rkmfd6v-buda0e.png"></itunes:image>
                                                                            <itunes:duration>00:23:39</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[327: Bi-allelic ATG12 variants impair ATG12-ATG5 conjugation, LC3 lipidation and neural development]]>
                </title>
                <pubDate>Fri, 27 Mar 2026 08:22:44 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2407013</guid>
                                    <link>https://basebybase.castos.com/episodes/biallelic-atg12-autophagy-disorder</link>
                                <description>
                                            <![CDATA[<p>Lambton J et al., The American Journal of Human Genetics - Bi-allelic ATG12 variants disrupt ATG12‑ATG5 conjugation and LC3 lipidation, impairing autophagy in patient cells and model systems and causing cerebellar vermis hypoplasia. Key terms: ATG12, autophagy, neurodevelopmental disorder, zebrafish, LC3 lipidation.</p>
<p> Study Highlights:<br />The study characterized six affected individuals with bi-allelic ATG12 variants using patient fibroblasts, HeLa ATG12 knockout complementation, yeast complementation, and CRISPR zebrafish models. Methods included WES/WGS and Sanger sequencing, immunoblotting, LC3/p62 flux assays, HaloTag-LC3 processing, LDH sequestration, AlphaFold-Multimer structural modeling, yeast GFP-Atg8 assays, and zebrafish behavioral and imaging assays. Structural modeling and biochemical data indicate variants map to ATG12 interfaces with ATG5 and ATG3, destabilize ATG12 or its conjugate with ATG5, reduce LC3/Atg8 lipidation and autophagic flux in a variant-dependent manner. Functionally, ATG12 disruption associates with neurodevelopmental phenotypes including cerebellar vermis hypoplasia, ataxia and seizures in humans, and causes growth, brain-structure and locomotor defects with reduced survival in zebrafish.</p>
<p> Conclusion:<br />Bi-allelic ATG12 variants impair ATG12 function and autophagy, producing a recessive neurodevelopmental disorder marked by cerebellar vermis hypoplasia and neurological deficits.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic ATG12 variants impair autophagy and cause a neurodevelopmental disorder</p>
<p> First author:<br />Lambton J</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.03.002</p>
<p> Reference:<br />Lambton J, Asano S, Huang Y, Suomi F, Eguchi T, Petree C, Huang K, Prigent M, Imam A, McCorvie TJ, Warren D, Hobson E, McCullagh H, Misceo D, Bjerre A, Smeland MF, Klingenberg C, Frengen E, Naik S, Ryan G, Sudarsanam A, Foster K, Vasudevan P, Samanta R, Rahman F, Maqbool S, Udani V, Efthymiou S, Houlden H, McFarland R, Collier JJ, Maroofian R, Yue WW, Varshney GK, Klionsky DJ, Legouis R, McWilliams TG, Mizushima N, Oláhová M, Alston CL, Taylor RW. Bi-allelic ATG12 variants impair autophagy and cause a neurodevelopmental disorder. The American Journal of Human Genetics. 2026 May 7;113:1–18. https://doi.org/10.1016/j.ajhg.2026.03.002</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/biallelic-atg12-autophagy-disorder</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive scientific content from the transcript, focusing on the patient cohort, molecular mechanism (ATG12-ATG5 conjugation, LC3 lipidation), structural modeling, model organisms (yeast, zebrafish), and neurological phenotype.<br />- transcript topics: Bi-allelic ATG12 variants and patient cohort; ATG12-ATG5 conjugation and LC3 lipidation; AlphaFold/structural modeling of ATG12 interactions; Yeast and zebrafish functional assays; Cerebellar involvement and mitophagy; Therapeutic implications of autophagy modulation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- c...</p>
<h3>Chapters</h3>
<ul><li>(00:00:20) - Why a single gene is completely lethal in humans</li><li>(00:05:26) - Flip-flopping mutations in the brain</li><li>(00:10:47) - Mitophagy 7, The cell survival paradox</li><li>(00:14:10) - Autophagy Defective in the brain</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Lambton J et al., The American Journal of Human Genetics - Bi-allelic ATG12 variants disrupt ATG12‑ATG5 conjugation and LC3 lipidation, impairing autophagy in patient cells and model systems and causing cerebellar vermis hypoplasia. Key terms: ATG12, autophagy, neurodevelopmental disorder, zebrafish, LC3 lipidation.
 Study Highlights:The study characterized six affected individuals with bi-allelic ATG12 variants using patient fibroblasts, HeLa ATG12 knockout complementation, yeast complementation, and CRISPR zebrafish models. Methods included WES/WGS and Sanger sequencing, immunoblotting, LC3/p62 flux assays, HaloTag-LC3 processing, LDH sequestration, AlphaFold-Multimer structural modeling, yeast GFP-Atg8 assays, and zebrafish behavioral and imaging assays. Structural modeling and biochemical data indicate variants map to ATG12 interfaces with ATG5 and ATG3, destabilize ATG12 or its conjugate with ATG5, reduce LC3/Atg8 lipidation and autophagic flux in a variant-dependent manner. Functionally, ATG12 disruption associates with neurodevelopmental phenotypes including cerebellar vermis hypoplasia, ataxia and seizures in humans, and causes growth, brain-structure and locomotor defects with reduced survival in zebrafish.
 Conclusion:Bi-allelic ATG12 variants impair ATG12 function and autophagy, producing a recessive neurodevelopmental disorder marked by cerebellar vermis hypoplasia and neurological deficits.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic ATG12 variants impair autophagy and cause a neurodevelopmental disorder
 First author:Lambton J
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.03.002
 Reference:Lambton J, Asano S, Huang Y, Suomi F, Eguchi T, Petree C, Huang K, Prigent M, Imam A, McCorvie TJ, Warren D, Hobson E, McCullagh H, Misceo D, Bjerre A, Smeland MF, Klingenberg C, Frengen E, Naik S, Ryan G, Sudarsanam A, Foster K, Vasudevan P, Samanta R, Rahman F, Maqbool S, Udani V, Efthymiou S, Houlden H, McFarland R, Collier JJ, Maroofian R, Yue WW, Varshney GK, Klionsky DJ, Legouis R, McWilliams TG, Mizushima N, Oláhová M, Alston CL, Taylor RW. Bi-allelic ATG12 variants impair autophagy and cause a neurodevelopmental disorder. The American Journal of Human Genetics. 2026 May 7;113:1–18. https://doi.org/10.1016/j.ajhg.2026.03.002
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/biallelic-atg12-autophagy-disorder
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive scientific content from the transcript, focusing on the patient cohort, molecular mechanism (ATG12-ATG5 conjugation, LC3 lipidation), structural modeling, model organisms (yeast, zebrafish), and neurological phenotype.- transcript topics: Bi-allelic ATG12 variants and patient cohort; ATG12-ATG5 conjugation and LC3 lipidation; AlphaFold/structural modeling of ATG12 interactions; Yeast and zebrafish functional assays; Cerebellar involvement and mitophagy; Therapeutic implications of autophagy modulation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- c...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[327: Bi-allelic ATG12 variants impair ATG12-ATG5 conjugation, LC3 lipidation and neural development]]>
                </itunes:title>
                                    <itunes:episode>327</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Lambton J et al., The American Journal of Human Genetics - Bi-allelic ATG12 variants disrupt ATG12‑ATG5 conjugation and LC3 lipidation, impairing autophagy in patient cells and model systems and causing cerebellar vermis hypoplasia. Key terms: ATG12, autophagy, neurodevelopmental disorder, zebrafish, LC3 lipidation.</p>
<p> Study Highlights:<br />The study characterized six affected individuals with bi-allelic ATG12 variants using patient fibroblasts, HeLa ATG12 knockout complementation, yeast complementation, and CRISPR zebrafish models. Methods included WES/WGS and Sanger sequencing, immunoblotting, LC3/p62 flux assays, HaloTag-LC3 processing, LDH sequestration, AlphaFold-Multimer structural modeling, yeast GFP-Atg8 assays, and zebrafish behavioral and imaging assays. Structural modeling and biochemical data indicate variants map to ATG12 interfaces with ATG5 and ATG3, destabilize ATG12 or its conjugate with ATG5, reduce LC3/Atg8 lipidation and autophagic flux in a variant-dependent manner. Functionally, ATG12 disruption associates with neurodevelopmental phenotypes including cerebellar vermis hypoplasia, ataxia and seizures in humans, and causes growth, brain-structure and locomotor defects with reduced survival in zebrafish.</p>
<p> Conclusion:<br />Bi-allelic ATG12 variants impair ATG12 function and autophagy, producing a recessive neurodevelopmental disorder marked by cerebellar vermis hypoplasia and neurological deficits.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic ATG12 variants impair autophagy and cause a neurodevelopmental disorder</p>
<p> First author:<br />Lambton J</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.03.002</p>
<p> Reference:<br />Lambton J, Asano S, Huang Y, Suomi F, Eguchi T, Petree C, Huang K, Prigent M, Imam A, McCorvie TJ, Warren D, Hobson E, McCullagh H, Misceo D, Bjerre A, Smeland MF, Klingenberg C, Frengen E, Naik S, Ryan G, Sudarsanam A, Foster K, Vasudevan P, Samanta R, Rahman F, Maqbool S, Udani V, Efthymiou S, Houlden H, McFarland R, Collier JJ, Maroofian R, Yue WW, Varshney GK, Klionsky DJ, Legouis R, McWilliams TG, Mizushima N, Oláhová M, Alston CL, Taylor RW. Bi-allelic ATG12 variants impair autophagy and cause a neurodevelopmental disorder. The American Journal of Human Genetics. 2026 May 7;113:1–18. https://doi.org/10.1016/j.ajhg.2026.03.002</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/biallelic-atg12-autophagy-disorder</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive scientific content from the transcript, focusing on the patient cohort, molecular mechanism (ATG12-ATG5 conjugation, LC3 lipidation), structural modeling, model organisms (yeast, zebrafish), and neurological phenotype.<br />- transcript topics: Bi-allelic ATG12 variants and patient cohort; ATG12-ATG5 conjugation and LC3 lipidation; AlphaFold/structural modeling of ATG12 interactions; Yeast and zebrafish functional assays; Cerebellar involvement and mitophagy; Therapeutic implications of autophagy modulation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Six individuals from five unrelated families with bi-allelic ATG12 variants were described.<br />- ATG12-ATG5 conjugate loss was observed in one family (S2) and an intact conjugate in another (S3).<br />- Autophagy flux was altered in subject-derived cells under starvation conditions.<br />- Zebrafish atg12 knockout showed developmental delay, brain defects, reduced locomotion, and pre-adult lethality.<br />- Yeast complementation showed hypomorphic, partial-function ATG12 variants; AlphaFold-Multimer modeling placed variants near ATG12 interfaces with ATG5/ATG3.<br />- Cerebellar vermis hypoplasia and related neurodevelopmental phenotypes were highlighted as key clinical features.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Lambton J et al., The American Journal of Human Genetics - Bi-allelic ATG12 variants disrupt ATG12‑ATG5 conjugation and LC3 lipidation, impairing autophagy in patient cells and model systems and causing cerebellar vermis hypoplasia. Key terms: ATG12, autophagy, neurodevelopmental disorder, zebrafish, LC3 lipidation.
 Study Highlights:The study characterized six affected individuals with bi-allelic ATG12 variants using patient fibroblasts, HeLa ATG12 knockout complementation, yeast complementation, and CRISPR zebrafish models. Methods included WES/WGS and Sanger sequencing, immunoblotting, LC3/p62 flux assays, HaloTag-LC3 processing, LDH sequestration, AlphaFold-Multimer structural modeling, yeast GFP-Atg8 assays, and zebrafish behavioral and imaging assays. Structural modeling and biochemical data indicate variants map to ATG12 interfaces with ATG5 and ATG3, destabilize ATG12 or its conjugate with ATG5, reduce LC3/Atg8 lipidation and autophagic flux in a variant-dependent manner. Functionally, ATG12 disruption associates with neurodevelopmental phenotypes including cerebellar vermis hypoplasia, ataxia and seizures in humans, and causes growth, brain-structure and locomotor defects with reduced survival in zebrafish.
 Conclusion:Bi-allelic ATG12 variants impair ATG12 function and autophagy, producing a recessive neurodevelopmental disorder marked by cerebellar vermis hypoplasia and neurological deficits.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic ATG12 variants impair autophagy and cause a neurodevelopmental disorder
 First author:Lambton J
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.03.002
 Reference:Lambton J, Asano S, Huang Y, Suomi F, Eguchi T, Petree C, Huang K, Prigent M, Imam A, McCorvie TJ, Warren D, Hobson E, McCullagh H, Misceo D, Bjerre A, Smeland MF, Klingenberg C, Frengen E, Naik S, Ryan G, Sudarsanam A, Foster K, Vasudevan P, Samanta R, Rahman F, Maqbool S, Udani V, Efthymiou S, Houlden H, McFarland R, Collier JJ, Maroofian R, Yue WW, Varshney GK, Klionsky DJ, Legouis R, McWilliams TG, Mizushima N, Oláhová M, Alston CL, Taylor RW. Bi-allelic ATG12 variants impair autophagy and cause a neurodevelopmental disorder. The American Journal of Human Genetics. 2026 May 7;113:1–18. https://doi.org/10.1016/j.ajhg.2026.03.002
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/biallelic-atg12-autophagy-disorder
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive scientific content from the transcript, focusing on the patient cohort, molecular mechanism (ATG12-ATG5 conjugation, LC3 lipidation), structural modeling, model organisms (yeast, zebrafish), and neurological phenotype.- transcript topics: Bi-allelic ATG12 variants and patient cohort; ATG12-ATG5 conjugation and LC3 lipidation; AlphaFold/structural modeling of ATG12 interactions; Yeast and zebrafish functional assays; Cerebellar involvement and mitophagy; Therapeutic implications of autophagy modulation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- c...]]>
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                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2407013/c1a-p6xp7-pknj3pjkij19-qj7vgd.png"></itunes:image>
                                                                            <itunes:duration>00:19:17</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2407013/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[326: DUO-1 protects REC-8 cohesin and synaptonemal complex stability in Caenorhabditis elegans meiosis]]>
                </title>
                <pubDate>Wed, 25 Mar 2026 22:58:07 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2405960</guid>
                                    <link>https://basebybase.castos.com/episodes/duo-1-c-elegans-meiosis</link>
                                <description>
                                            <![CDATA[<p>Strand LG et al., Proc. Natl. Acad. Sci. U.S.A - In C. elegans germline, the deubiquitinase DUO-1 is required for assembly and active maintenance of the synaptonemal complex and REC-8 cohesin, preventing RAD-51 accumulation and ensuring diakinesis compaction. Key terms: DUO-1, Caenorhabditis elegans, synaptonemal complex, REC-8, auxin-inducible degron.</p>
<p> Study Highlights:<br />Using C. elegans germline as a developmental timecourse model, the authors combined cytological analyses (immunofluorescence, FISH, RAD-51/MSH-5/COSA-1 staining), temporally controlled auxin-inducible degron (AID) depletion, and TurboID proximity labeling with LC–MS to probe DUO-1 function. Loss or acute depletion of DUO-1 impairs SC assembly, leads to progressive axis/SC instability, depletion of REC-8 cohesin from chromosomes, hyperaccumulation of RAD-51-marked early DSB repair intermediates, and premature sister-chromatid separation. TurboID identifies PARG-1 and cohesin/HORMAD components as proximal partners and DUO-1::GFP localizes to nucleoplasm and a subset of chromosome axes, most prominently in late pachytene/early diplotene. Temporal AID experiments show DUO-1 is required continuously for early SC assembly, late-pachytene SC maintenance, and rapid preservation of diakinesis chromosome compaction, implying an active maintenance role for DUO-1 in preserving chromosome architecture during meiotic prophase.</p>
<p> Conclusion:<br />DUO-1 is continuously required throughout meiotic prophase in C. elegans to promote assembly and maintain stability of chromosome axes and synaptonemal complexes, protect REC-8 cohesin distribution, limit accumulation of early DSB repair intermediates, and ensure late-prophase chromosome compaction.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Active maintenance of meiosis-specific chromosome structures in Caenorhabditis elegans by the deubiquitinase DUO-1</p>
<p> First author:<br />Strand LG</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A</p>
<p> DOI:<br />10.1073/pnas.2532671123</p>
<p> Reference:<br />Strand LG, Choi CP, McCoy S, Nsamba ET, Silva N, Villeneuve AM. Active maintenance of meiosis-specific chromosome structures in Caenorhabditis elegans by the deubiquitinase DUO-1. Proc. Natl. Acad. Sci. U.S.A. 2026;123(12):e2532671123. https://doi.org/10.1073/pnas.2532671123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/duo-1-c-elegans-meiosis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken scientific content reflecting the paper's core findings: DUO-1’s continuous maintenance of meiosis-specific chromosome structures, SC/axis stability, REC-8 cohesin protection, RAD-51 dynamics, AID-time course revealing separable roles, and the DUO-1–PARG-1 interaction revealed by TurboID.<br />- transcript topics: Meiotic prophase architecture (SC/axis) and DUO-1 roles; Duo-1 mutant phenotypes: SC assembly failure and polycomplexes; REC-8 cohesin distribution and sister chromatid cohesion; RAD-51 dynamics and SPO-11 dependency; COSA-1 foci and recombination intermediates; Auxin-inducible degradation (AID) reveals separable roles in assembly, maintenance, and compaction</p>
<p>QC Summary:</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - The architectural worksite of life</li><li>(00:05:24) - The genetic disaster of Meotic mutants</li><li>(00:10:49) - The Duplicity of Probes</li><li>(00:16:29) - How does DNA repair become so fragile as we grow?</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Strand LG et al., Proc. Natl. Acad. Sci. U.S.A - In C. elegans germline, the deubiquitinase DUO-1 is required for assembly and active maintenance of the synaptonemal complex and REC-8 cohesin, preventing RAD-51 accumulation and ensuring diakinesis compaction. Key terms: DUO-1, Caenorhabditis elegans, synaptonemal complex, REC-8, auxin-inducible degron.
 Study Highlights:Using C. elegans germline as a developmental timecourse model, the authors combined cytological analyses (immunofluorescence, FISH, RAD-51/MSH-5/COSA-1 staining), temporally controlled auxin-inducible degron (AID) depletion, and TurboID proximity labeling with LC–MS to probe DUO-1 function. Loss or acute depletion of DUO-1 impairs SC assembly, leads to progressive axis/SC instability, depletion of REC-8 cohesin from chromosomes, hyperaccumulation of RAD-51-marked early DSB repair intermediates, and premature sister-chromatid separation. TurboID identifies PARG-1 and cohesin/HORMAD components as proximal partners and DUO-1::GFP localizes to nucleoplasm and a subset of chromosome axes, most prominently in late pachytene/early diplotene. Temporal AID experiments show DUO-1 is required continuously for early SC assembly, late-pachytene SC maintenance, and rapid preservation of diakinesis chromosome compaction, implying an active maintenance role for DUO-1 in preserving chromosome architecture during meiotic prophase.
 Conclusion:DUO-1 is continuously required throughout meiotic prophase in C. elegans to promote assembly and maintain stability of chromosome axes and synaptonemal complexes, protect REC-8 cohesin distribution, limit accumulation of early DSB repair intermediates, and ensure late-prophase chromosome compaction.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Active maintenance of meiosis-specific chromosome structures in Caenorhabditis elegans by the deubiquitinase DUO-1
 First author:Strand LG
 Journal:Proc. Natl. Acad. Sci. U.S.A
 DOI:10.1073/pnas.2532671123
 Reference:Strand LG, Choi CP, McCoy S, Nsamba ET, Silva N, Villeneuve AM. Active maintenance of meiosis-specific chromosome structures in Caenorhabditis elegans by the deubiquitinase DUO-1. Proc. Natl. Acad. Sci. U.S.A. 2026;123(12):e2532671123. https://doi.org/10.1073/pnas.2532671123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/duo-1-c-elegans-meiosis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken scientific content reflecting the paper's core findings: DUO-1’s continuous maintenance of meiosis-specific chromosome structures, SC/axis stability, REC-8 cohesin protection, RAD-51 dynamics, AID-time course revealing separable roles, and the DUO-1–PARG-1 interaction revealed by TurboID.- transcript topics: Meiotic prophase architecture (SC/axis) and DUO-1 roles; Duo-1 mutant phenotypes: SC assembly failure and polycomplexes; REC-8 cohesin distribution and sister chromatid cohesion; RAD-51 dynamics and SPO-11 dependency; COSA-1 foci and recombination intermediates; Auxin-inducible degradation (AID) reveals separable roles in assembly, maintenance, and compaction
QC Summary:]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[326: DUO-1 protects REC-8 cohesin and synaptonemal complex stability in Caenorhabditis elegans meiosis]]>
                </itunes:title>
                                    <itunes:episode>326</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Strand LG et al., Proc. Natl. Acad. Sci. U.S.A - In C. elegans germline, the deubiquitinase DUO-1 is required for assembly and active maintenance of the synaptonemal complex and REC-8 cohesin, preventing RAD-51 accumulation and ensuring diakinesis compaction. Key terms: DUO-1, Caenorhabditis elegans, synaptonemal complex, REC-8, auxin-inducible degron.</p>
<p> Study Highlights:<br />Using C. elegans germline as a developmental timecourse model, the authors combined cytological analyses (immunofluorescence, FISH, RAD-51/MSH-5/COSA-1 staining), temporally controlled auxin-inducible degron (AID) depletion, and TurboID proximity labeling with LC–MS to probe DUO-1 function. Loss or acute depletion of DUO-1 impairs SC assembly, leads to progressive axis/SC instability, depletion of REC-8 cohesin from chromosomes, hyperaccumulation of RAD-51-marked early DSB repair intermediates, and premature sister-chromatid separation. TurboID identifies PARG-1 and cohesin/HORMAD components as proximal partners and DUO-1::GFP localizes to nucleoplasm and a subset of chromosome axes, most prominently in late pachytene/early diplotene. Temporal AID experiments show DUO-1 is required continuously for early SC assembly, late-pachytene SC maintenance, and rapid preservation of diakinesis chromosome compaction, implying an active maintenance role for DUO-1 in preserving chromosome architecture during meiotic prophase.</p>
<p> Conclusion:<br />DUO-1 is continuously required throughout meiotic prophase in C. elegans to promote assembly and maintain stability of chromosome axes and synaptonemal complexes, protect REC-8 cohesin distribution, limit accumulation of early DSB repair intermediates, and ensure late-prophase chromosome compaction.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Active maintenance of meiosis-specific chromosome structures in Caenorhabditis elegans by the deubiquitinase DUO-1</p>
<p> First author:<br />Strand LG</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A</p>
<p> DOI:<br />10.1073/pnas.2532671123</p>
<p> Reference:<br />Strand LG, Choi CP, McCoy S, Nsamba ET, Silva N, Villeneuve AM. Active maintenance of meiosis-specific chromosome structures in Caenorhabditis elegans by the deubiquitinase DUO-1. Proc. Natl. Acad. Sci. U.S.A. 2026;123(12):e2532671123. https://doi.org/10.1073/pnas.2532671123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/duo-1-c-elegans-meiosis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken scientific content reflecting the paper's core findings: DUO-1’s continuous maintenance of meiosis-specific chromosome structures, SC/axis stability, REC-8 cohesin protection, RAD-51 dynamics, AID-time course revealing separable roles, and the DUO-1–PARG-1 interaction revealed by TurboID.<br />- transcript topics: Meiotic prophase architecture (SC/axis) and DUO-1 roles; Duo-1 mutant phenotypes: SC assembly failure and polycomplexes; REC-8 cohesin distribution and sister chromatid cohesion; RAD-51 dynamics and SPO-11 dependency; COSA-1 foci and recombination intermediates; Auxin-inducible degradation (AID) reveals separable roles in assembly, maintenance, and compaction</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- DUO-1 is continually required throughout meiotic prophase to promote axis/SC assembly, maintain axis/SC stability, and promote/maintain chromosome compaction by the end of prophase<br />- Duo-1 mutants show impaired SC assembly and polycomplex formation; REC-8 cohesin distribution is lost as SCs disassemble<br />- RAD-51 foci hyperaccumulate in duo-1 mutants in a SPO-11–dependent manner<br />- Auxin-inducible degradation (AID) of DUO-1 reveals separable roles in SC assembly (early prophase), maintenance (late pachytene), and chromosomal compaction (diakinesis)<br />- TurboID proximity labeling identifies DUO-1 near PARG-1 and axis components; PARG-1 localization is impaired in duo-1 mutants but enzymatic activity persists and PAR does not accum<br />- DUO-1 is a deubiquitinase that protects cohesin/axis components from ubiquitin-mediated turnover</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Strand LG et al., Proc. Natl. Acad. Sci. U.S.A - In C. elegans germline, the deubiquitinase DUO-1 is required for assembly and active maintenance of the synaptonemal complex and REC-8 cohesin, preventing RAD-51 accumulation and ensuring diakinesis compaction. Key terms: DUO-1, Caenorhabditis elegans, synaptonemal complex, REC-8, auxin-inducible degron.
 Study Highlights:Using C. elegans germline as a developmental timecourse model, the authors combined cytological analyses (immunofluorescence, FISH, RAD-51/MSH-5/COSA-1 staining), temporally controlled auxin-inducible degron (AID) depletion, and TurboID proximity labeling with LC–MS to probe DUO-1 function. Loss or acute depletion of DUO-1 impairs SC assembly, leads to progressive axis/SC instability, depletion of REC-8 cohesin from chromosomes, hyperaccumulation of RAD-51-marked early DSB repair intermediates, and premature sister-chromatid separation. TurboID identifies PARG-1 and cohesin/HORMAD components as proximal partners and DUO-1::GFP localizes to nucleoplasm and a subset of chromosome axes, most prominently in late pachytene/early diplotene. Temporal AID experiments show DUO-1 is required continuously for early SC assembly, late-pachytene SC maintenance, and rapid preservation of diakinesis chromosome compaction, implying an active maintenance role for DUO-1 in preserving chromosome architecture during meiotic prophase.
 Conclusion:DUO-1 is continuously required throughout meiotic prophase in C. elegans to promote assembly and maintain stability of chromosome axes and synaptonemal complexes, protect REC-8 cohesin distribution, limit accumulation of early DSB repair intermediates, and ensure late-prophase chromosome compaction.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Active maintenance of meiosis-specific chromosome structures in Caenorhabditis elegans by the deubiquitinase DUO-1
 First author:Strand LG
 Journal:Proc. Natl. Acad. Sci. U.S.A
 DOI:10.1073/pnas.2532671123
 Reference:Strand LG, Choi CP, McCoy S, Nsamba ET, Silva N, Villeneuve AM. Active maintenance of meiosis-specific chromosome structures in Caenorhabditis elegans by the deubiquitinase DUO-1. Proc. Natl. Acad. Sci. U.S.A. 2026;123(12):e2532671123. https://doi.org/10.1073/pnas.2532671123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/duo-1-c-elegans-meiosis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken scientific content reflecting the paper's core findings: DUO-1’s continuous maintenance of meiosis-specific chromosome structures, SC/axis stability, REC-8 cohesin protection, RAD-51 dynamics, AID-time course revealing separable roles, and the DUO-1–PARG-1 interaction revealed by TurboID.- transcript topics: Meiotic prophase architecture (SC/axis) and DUO-1 roles; Duo-1 mutant phenotypes: SC assembly failure and polycomplexes; REC-8 cohesin distribution and sister chromatid cohesion; RAD-51 dynamics and SPO-11 dependency; COSA-1 foci and recombination intermediates; Auxin-inducible degradation (AID) reveals separable roles in assembly, maintenance, and compaction
QC Summary:]]>
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                                                                            <itunes:duration>00:24:34</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2405960/chapter-data.json"
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                    <item>
                <title>
                    <![CDATA[325: cis-pcQTL mapping reveals allelic proxitropy across neighboring human genes]]>
                </title>
                <pubDate>Tue, 24 Mar 2026 08:03:54 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2404346</guid>
                                    <link>https://basebybase.castos.com/episodes/cis-pcqtl-allelic-proxitropy-gtex-1</link>
                                <description>
                                            <![CDATA[<p>Lawrence et al., The American Journal of Human Genetics - Using a cis-principal-component (pcQTL) approach in human GTEx tissues, the authors uncover novel multi-gene regulatory variants and 33% more GWAS colocalizations than single-gene eQTLs. Key terms: pcQTL, allelic proxitropy, GTEx, colocalization, HOXB.</p>
<p> Study Highlights:<br />The study analyzes 13 human GTEx tissues and identifies clusters of co-expressed neighboring genes, then applies PCA to cluster expression and maps cis-principal-component QTLs (pcQTLs). pcQTL discovery and fine-mapping used SuSiE and TensorQTL permutation-based FDR to identify an average of ~1,396 pcQTLs per tissue, ~27% of which were not found by single-gene eQTL mapping. pcQTLs tend to represent smaller effects distributed across multiple genes in a cluster and often colocalize with GWAS hits missed by single-gene methods. Functionally, pcQTLs increased GWAS colocalizations by 33%, highlighting multi-gene regulatory proxitropy as a source of complex-trait-associated variation.</p>
<p> Conclusion:<br />Cis-multi-gene pcQTL mapping uncovers novel regulatory loci and increases GWAS colocalizations compared with single-gene analyses, demonstrating that multi-gene approaches improve detection and interpretation of complex-trait-associated variants.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Focus on single-gene effects limits discovery and interpretation of complex-trait-associated variants</p>
<p> First author:<br />Lawrence</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.022</p>
<p> Reference:<br />Lawrence, K.A., Gjorgjieva, T., Nachun, D., and Montgomery, S.B. (2026). Focus on single-gene effects limits discovery and interpretation of complex-trait-associated variants. The American Journal of Human Genetics 113, 1–10. https://doi.org/10.1016/j.ajhg.2026.02.022</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cis-pcqtl-allelic-proxitropy-gtex</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections presenting the conceptual shift to neighborhood gene regulation (allelic proxytropy), the cis-pcQTL (pcQTL) methodology, GTEx tissue clustering, key quantitative results (novel pcQTLs, clusters, colocalizations), and concrete examples (HOXB cluster, IL-18 receptor genes), plus discussion<br />- transcript topics: Conceptual shift to gene neighborhoods and allelic proxytropy; cis-pcQTL (pcQTL) methodology and PCA-based signal extraction; GTEx tissue clusters and gene-neighborhood calling; pcQTL discovery statistics (clusters, pcQTLs per tissue, novel signals); pcQTLs and GWAS colocalizations; HOXB cluster example (HOXB3 vs HOXB4) and PC4</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- pcQTLs reveal novel multi-gene regulatory variants missed by single-gene eQTLs<br />- average pcQTLs per tissue is 1,396<br />-...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Deep Dive: The genome's interconnected networks</li><li>(00:05:27) - The Shared Signal of Genomic Science</li><li>(00:11:15) - Single gene mapping fails to explain complex traits</li><li>(00:18:13) - Understanding the genetics of human diseases</li><li>(00:20:39) - Beyond one gene</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Lawrence et al., The American Journal of Human Genetics - Using a cis-principal-component (pcQTL) approach in human GTEx tissues, the authors uncover novel multi-gene regulatory variants and 33% more GWAS colocalizations than single-gene eQTLs. Key terms: pcQTL, allelic proxitropy, GTEx, colocalization, HOXB.
 Study Highlights:The study analyzes 13 human GTEx tissues and identifies clusters of co-expressed neighboring genes, then applies PCA to cluster expression and maps cis-principal-component QTLs (pcQTLs). pcQTL discovery and fine-mapping used SuSiE and TensorQTL permutation-based FDR to identify an average of ~1,396 pcQTLs per tissue, ~27% of which were not found by single-gene eQTL mapping. pcQTLs tend to represent smaller effects distributed across multiple genes in a cluster and often colocalize with GWAS hits missed by single-gene methods. Functionally, pcQTLs increased GWAS colocalizations by 33%, highlighting multi-gene regulatory proxitropy as a source of complex-trait-associated variation.
 Conclusion:Cis-multi-gene pcQTL mapping uncovers novel regulatory loci and increases GWAS colocalizations compared with single-gene analyses, demonstrating that multi-gene approaches improve detection and interpretation of complex-trait-associated variants.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Focus on single-gene effects limits discovery and interpretation of complex-trait-associated variants
 First author:Lawrence
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.022
 Reference:Lawrence, K.A., Gjorgjieva, T., Nachun, D., and Montgomery, S.B. (2026). Focus on single-gene effects limits discovery and interpretation of complex-trait-associated variants. The American Journal of Human Genetics 113, 1–10. https://doi.org/10.1016/j.ajhg.2026.02.022
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cis-pcqtl-allelic-proxitropy-gtex
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections presenting the conceptual shift to neighborhood gene regulation (allelic proxytropy), the cis-pcQTL (pcQTL) methodology, GTEx tissue clustering, key quantitative results (novel pcQTLs, clusters, colocalizations), and concrete examples (HOXB cluster, IL-18 receptor genes), plus discussion- transcript topics: Conceptual shift to gene neighborhoods and allelic proxytropy; cis-pcQTL (pcQTL) methodology and PCA-based signal extraction; GTEx tissue clusters and gene-neighborhood calling; pcQTL discovery statistics (clusters, pcQTLs per tissue, novel signals); pcQTLs and GWAS colocalizations; HOXB cluster example (HOXB3 vs HOXB4) and PC4
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- pcQTLs reveal novel multi-gene regulatory variants missed by single-gene eQTLs- average pcQTLs per tissue is 1,396-...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[325: cis-pcQTL mapping reveals allelic proxitropy across neighboring human genes]]>
                </itunes:title>
                                    <itunes:episode>325</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Lawrence et al., The American Journal of Human Genetics - Using a cis-principal-component (pcQTL) approach in human GTEx tissues, the authors uncover novel multi-gene regulatory variants and 33% more GWAS colocalizations than single-gene eQTLs. Key terms: pcQTL, allelic proxitropy, GTEx, colocalization, HOXB.</p>
<p> Study Highlights:<br />The study analyzes 13 human GTEx tissues and identifies clusters of co-expressed neighboring genes, then applies PCA to cluster expression and maps cis-principal-component QTLs (pcQTLs). pcQTL discovery and fine-mapping used SuSiE and TensorQTL permutation-based FDR to identify an average of ~1,396 pcQTLs per tissue, ~27% of which were not found by single-gene eQTL mapping. pcQTLs tend to represent smaller effects distributed across multiple genes in a cluster and often colocalize with GWAS hits missed by single-gene methods. Functionally, pcQTLs increased GWAS colocalizations by 33%, highlighting multi-gene regulatory proxitropy as a source of complex-trait-associated variation.</p>
<p> Conclusion:<br />Cis-multi-gene pcQTL mapping uncovers novel regulatory loci and increases GWAS colocalizations compared with single-gene analyses, demonstrating that multi-gene approaches improve detection and interpretation of complex-trait-associated variants.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Focus on single-gene effects limits discovery and interpretation of complex-trait-associated variants</p>
<p> First author:<br />Lawrence</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.022</p>
<p> Reference:<br />Lawrence, K.A., Gjorgjieva, T., Nachun, D., and Montgomery, S.B. (2026). Focus on single-gene effects limits discovery and interpretation of complex-trait-associated variants. The American Journal of Human Genetics 113, 1–10. https://doi.org/10.1016/j.ajhg.2026.02.022</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cis-pcqtl-allelic-proxitropy-gtex</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections presenting the conceptual shift to neighborhood gene regulation (allelic proxytropy), the cis-pcQTL (pcQTL) methodology, GTEx tissue clustering, key quantitative results (novel pcQTLs, clusters, colocalizations), and concrete examples (HOXB cluster, IL-18 receptor genes), plus discussion<br />- transcript topics: Conceptual shift to gene neighborhoods and allelic proxytropy; cis-pcQTL (pcQTL) methodology and PCA-based signal extraction; GTEx tissue clusters and gene-neighborhood calling; pcQTL discovery statistics (clusters, pcQTLs per tissue, novel signals); pcQTLs and GWAS colocalizations; HOXB cluster example (HOXB3 vs HOXB4) and PC4</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- pcQTLs reveal novel multi-gene regulatory variants missed by single-gene eQTLs<br />- average pcQTLs per tissue is 1,396<br />- 27% of pcQTL signals are novel (4,859 pcQTLs)<br />- pcQTLs increase GWAS colocalizations by 33% vs single-gene QTLs<br />- HOXB cluster PC4 captures inverse variation between HOXB3 and HOXB4<br />- IL-18 receptor cluster (IL18RAP/IL18R1) pcQTL colocalizes with eczema, dermatitis, IBD</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Lawrence et al., The American Journal of Human Genetics - Using a cis-principal-component (pcQTL) approach in human GTEx tissues, the authors uncover novel multi-gene regulatory variants and 33% more GWAS colocalizations than single-gene eQTLs. Key terms: pcQTL, allelic proxitropy, GTEx, colocalization, HOXB.
 Study Highlights:The study analyzes 13 human GTEx tissues and identifies clusters of co-expressed neighboring genes, then applies PCA to cluster expression and maps cis-principal-component QTLs (pcQTLs). pcQTL discovery and fine-mapping used SuSiE and TensorQTL permutation-based FDR to identify an average of ~1,396 pcQTLs per tissue, ~27% of which were not found by single-gene eQTL mapping. pcQTLs tend to represent smaller effects distributed across multiple genes in a cluster and often colocalize with GWAS hits missed by single-gene methods. Functionally, pcQTLs increased GWAS colocalizations by 33%, highlighting multi-gene regulatory proxitropy as a source of complex-trait-associated variation.
 Conclusion:Cis-multi-gene pcQTL mapping uncovers novel regulatory loci and increases GWAS colocalizations compared with single-gene analyses, demonstrating that multi-gene approaches improve detection and interpretation of complex-trait-associated variants.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Focus on single-gene effects limits discovery and interpretation of complex-trait-associated variants
 First author:Lawrence
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.022
 Reference:Lawrence, K.A., Gjorgjieva, T., Nachun, D., and Montgomery, S.B. (2026). Focus on single-gene effects limits discovery and interpretation of complex-trait-associated variants. The American Journal of Human Genetics 113, 1–10. https://doi.org/10.1016/j.ajhg.2026.02.022
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cis-pcqtl-allelic-proxitropy-gtex
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections presenting the conceptual shift to neighborhood gene regulation (allelic proxytropy), the cis-pcQTL (pcQTL) methodology, GTEx tissue clustering, key quantitative results (novel pcQTLs, clusters, colocalizations), and concrete examples (HOXB cluster, IL-18 receptor genes), plus discussion- transcript topics: Conceptual shift to gene neighborhoods and allelic proxytropy; cis-pcQTL (pcQTL) methodology and PCA-based signal extraction; GTEx tissue clusters and gene-neighborhood calling; pcQTL discovery statistics (clusters, pcQTLs per tissue, novel signals); pcQTLs and GWAS colocalizations; HOXB cluster example (HOXB3 vs HOXB4) and PC4
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- pcQTLs reveal novel multi-gene regulatory variants missed by single-gene eQTLs- average pcQTLs per tissue is 1,396-...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:23:57</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2404346/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[324: ZSWIM8–CUL3 clamp on AGO2–miR-7 reveals mechanism of targeted microRNA degradation]]>
                </title>
                <pubDate>Mon, 23 Mar 2026 05:43:07 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2403486</guid>
                                    <link>https://basebybase.castos.com/episodes/zswim8-cul3-tdmd-structure</link>
                                <description>
                                            <![CDATA[<p>Farnung J et al., Nature - Cryo-EM and biochemical reconstitution reveal how the ZSWIM8–CUL3 E3 ligase recognizes human AGO2–miRNA–trigger complexes to polyubiquitylate AGO and drive targeted microRNA degradation. Key terms: ZSWIM8, AGO2, target-directed miRNA degradation, cryo-EM structure, E3 ubiquitin ligase.</p>
<p> Study Highlights:<br />Using purified human proteins and cellular assays, the authors combined cryo-EM (3.1 Å), in vitro ubiquitylation, co-immunoprecipitation and sRNA-seq to dissect TDMD. Cryo-EM shows a dimeric ZSWIM8 that forms an asymmetric clamp around AGO2–miR-7–CYRANO, engaging the MID, N and PAZ domains and embracing trigger RNA flanks. Biochemical reconstitution demonstrates that ZSWIM8–CUL3 together with ARIH1 polyubiquitylates surface lysines of AGO only when the miRNA is paired to a trigger that vacates the PAZ pocket and imposes a specific RNA trajectory. Functionally, these multivalent RNA–RNA, RNA–protein and protein–protein interactions establish a two-RNA-factor authentication mechanism that explains TDMD selectivity and indicates ZSWIM8 can destabilize extensively trimmed miRNAs.</p>
<p> Conclusion:<br />ZSWIM8–CUL3 recognizes a trigger-induced AGO–miRNA conformation via multivalent interactions—including sensing a vacated PAZ pocket and flanking trigger RNA—to direct ARIH1-dependent polyubiquitylation of AGO and execute TDMD.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The E3 ubiquitin ligase mechanism specifying targeted microRNA degradation</p>
<p> First author:<br />Farnung J</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-026-10232-0</p>
<p> Reference:<br />Farnung J., Slobodyanyuk E., Wang P.Y., Blodgett L.W., Lin D.H., von Gronau S., Schulman B.A. &amp; Bartel D.P. The E3 ubiquitin ligase mechanism specifying targeted microRNA degradation. Nature (2026). https://doi.org/10.1038/s41586-026-10232-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/zswim8-cul3-tdmd-structure</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-23.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing TDMD mechanism, ZSWIM8–CUL3 E3 ligase architecture, AGO2–miRNA–trigger complex recognition, CYRANO/HSUR1 triggers, RNA flanking regions and RBEs, PAZ-pocket vacancy, dimeric clamp, and broader biological implications.<br />- transcript topics: TDMD overview and cellular context; ZSWIM8–CUL3 E3 ligase architecture and dimer clamp; AGO2–miRNA–trigger complex recognition by ZSWIM8; Trigger RNAs (CYRANO, HSUR1) and pairing architecture; RNA flanking regions and RBEs in ZSWIM8 binding; PAZ pocket vacancy and RNA trajectory</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TDMD is mediated by ZSWIM8–CUL3 E3 ligase polyubiquitylating AGO2–miRNA in the presence of a trigger RNA<br />- ZSWIM8 preferentially binds AGO–miRNA–trigger ternaries over AGO–miRNA–seed-only complexes<br />- ZSWIM8 operates as a dimer that cl...</p>
<h3>Chapters</h3>
<ul><li>(00:00:12) - The Papercast</li><li>(00:00:28) - A single molecular assassin</li><li>(00:01:34) - The cell's ubiquitin murder</li><li>(00:06:47) - How the CL3 box manipulates the ZS1 protein</li><li>(00:11:36) - The ZSMATE hitman</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Farnung J et al., Nature - Cryo-EM and biochemical reconstitution reveal how the ZSWIM8–CUL3 E3 ligase recognizes human AGO2–miRNA–trigger complexes to polyubiquitylate AGO and drive targeted microRNA degradation. Key terms: ZSWIM8, AGO2, target-directed miRNA degradation, cryo-EM structure, E3 ubiquitin ligase.
 Study Highlights:Using purified human proteins and cellular assays, the authors combined cryo-EM (3.1 Å), in vitro ubiquitylation, co-immunoprecipitation and sRNA-seq to dissect TDMD. Cryo-EM shows a dimeric ZSWIM8 that forms an asymmetric clamp around AGO2–miR-7–CYRANO, engaging the MID, N and PAZ domains and embracing trigger RNA flanks. Biochemical reconstitution demonstrates that ZSWIM8–CUL3 together with ARIH1 polyubiquitylates surface lysines of AGO only when the miRNA is paired to a trigger that vacates the PAZ pocket and imposes a specific RNA trajectory. Functionally, these multivalent RNA–RNA, RNA–protein and protein–protein interactions establish a two-RNA-factor authentication mechanism that explains TDMD selectivity and indicates ZSWIM8 can destabilize extensively trimmed miRNAs.
 Conclusion:ZSWIM8–CUL3 recognizes a trigger-induced AGO–miRNA conformation via multivalent interactions—including sensing a vacated PAZ pocket and flanking trigger RNA—to direct ARIH1-dependent polyubiquitylation of AGO and execute TDMD.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The E3 ubiquitin ligase mechanism specifying targeted microRNA degradation
 First author:Farnung J
 Journal:Nature
 DOI:10.1038/s41586-026-10232-0
 Reference:Farnung J., Slobodyanyuk E., Wang P.Y., Blodgett L.W., Lin D.H., von Gronau S., Schulman B.A. & Bartel D.P. The E3 ubiquitin ligase mechanism specifying targeted microRNA degradation. Nature (2026). https://doi.org/10.1038/s41586-026-10232-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/zswim8-cul3-tdmd-structure
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-23.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing TDMD mechanism, ZSWIM8–CUL3 E3 ligase architecture, AGO2–miRNA–trigger complex recognition, CYRANO/HSUR1 triggers, RNA flanking regions and RBEs, PAZ-pocket vacancy, dimeric clamp, and broader biological implications.- transcript topics: TDMD overview and cellular context; ZSWIM8–CUL3 E3 ligase architecture and dimer clamp; AGO2–miRNA–trigger complex recognition by ZSWIM8; Trigger RNAs (CYRANO, HSUR1) and pairing architecture; RNA flanking regions and RBEs in ZSWIM8 binding; PAZ pocket vacancy and RNA trajectory
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- TDMD is mediated by ZSWIM8–CUL3 E3 ligase polyubiquitylating AGO2–miRNA in the presence of a trigger RNA- ZSWIM8 preferentially binds AGO–miRNA–trigger ternaries over AGO–miRNA–seed-only complexes- ZSWIM8 operates as a dimer that cl...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[324: ZSWIM8–CUL3 clamp on AGO2–miR-7 reveals mechanism of targeted microRNA degradation]]>
                </itunes:title>
                                    <itunes:episode>324</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Farnung J et al., Nature - Cryo-EM and biochemical reconstitution reveal how the ZSWIM8–CUL3 E3 ligase recognizes human AGO2–miRNA–trigger complexes to polyubiquitylate AGO and drive targeted microRNA degradation. Key terms: ZSWIM8, AGO2, target-directed miRNA degradation, cryo-EM structure, E3 ubiquitin ligase.</p>
<p> Study Highlights:<br />Using purified human proteins and cellular assays, the authors combined cryo-EM (3.1 Å), in vitro ubiquitylation, co-immunoprecipitation and sRNA-seq to dissect TDMD. Cryo-EM shows a dimeric ZSWIM8 that forms an asymmetric clamp around AGO2–miR-7–CYRANO, engaging the MID, N and PAZ domains and embracing trigger RNA flanks. Biochemical reconstitution demonstrates that ZSWIM8–CUL3 together with ARIH1 polyubiquitylates surface lysines of AGO only when the miRNA is paired to a trigger that vacates the PAZ pocket and imposes a specific RNA trajectory. Functionally, these multivalent RNA–RNA, RNA–protein and protein–protein interactions establish a two-RNA-factor authentication mechanism that explains TDMD selectivity and indicates ZSWIM8 can destabilize extensively trimmed miRNAs.</p>
<p> Conclusion:<br />ZSWIM8–CUL3 recognizes a trigger-induced AGO–miRNA conformation via multivalent interactions—including sensing a vacated PAZ pocket and flanking trigger RNA—to direct ARIH1-dependent polyubiquitylation of AGO and execute TDMD.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The E3 ubiquitin ligase mechanism specifying targeted microRNA degradation</p>
<p> First author:<br />Farnung J</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-026-10232-0</p>
<p> Reference:<br />Farnung J., Slobodyanyuk E., Wang P.Y., Blodgett L.W., Lin D.H., von Gronau S., Schulman B.A. &amp; Bartel D.P. The E3 ubiquitin ligase mechanism specifying targeted microRNA degradation. Nature (2026). https://doi.org/10.1038/s41586-026-10232-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/zswim8-cul3-tdmd-structure</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-23.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing TDMD mechanism, ZSWIM8–CUL3 E3 ligase architecture, AGO2–miRNA–trigger complex recognition, CYRANO/HSUR1 triggers, RNA flanking regions and RBEs, PAZ-pocket vacancy, dimeric clamp, and broader biological implications.<br />- transcript topics: TDMD overview and cellular context; ZSWIM8–CUL3 E3 ligase architecture and dimer clamp; AGO2–miRNA–trigger complex recognition by ZSWIM8; Trigger RNAs (CYRANO, HSUR1) and pairing architecture; RNA flanking regions and RBEs in ZSWIM8 binding; PAZ pocket vacancy and RNA trajectory</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TDMD is mediated by ZSWIM8–CUL3 E3 ligase polyubiquitylating AGO2–miRNA in the presence of a trigger RNA<br />- ZSWIM8 preferentially binds AGO–miRNA–trigger ternaries over AGO–miRNA–seed-only complexes<br />- ZSWIM8 operates as a dimer that clamps around the AGO2–miR-7–CYRANO complex<br />- Trigger RNA-induced conformational changes expose an unoccupied PAZ pocket that is recognized by ZSWIM8<br />- RNA flanking regions and RBEs contribute to ZSWIM8 recognition and binding efficiency<br />- Two-RNA-factor authentication model: miRNA as password, trigger RNA as phone ping</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Farnung J et al., Nature - Cryo-EM and biochemical reconstitution reveal how the ZSWIM8–CUL3 E3 ligase recognizes human AGO2–miRNA–trigger complexes to polyubiquitylate AGO and drive targeted microRNA degradation. Key terms: ZSWIM8, AGO2, target-directed miRNA degradation, cryo-EM structure, E3 ubiquitin ligase.
 Study Highlights:Using purified human proteins and cellular assays, the authors combined cryo-EM (3.1 Å), in vitro ubiquitylation, co-immunoprecipitation and sRNA-seq to dissect TDMD. Cryo-EM shows a dimeric ZSWIM8 that forms an asymmetric clamp around AGO2–miR-7–CYRANO, engaging the MID, N and PAZ domains and embracing trigger RNA flanks. Biochemical reconstitution demonstrates that ZSWIM8–CUL3 together with ARIH1 polyubiquitylates surface lysines of AGO only when the miRNA is paired to a trigger that vacates the PAZ pocket and imposes a specific RNA trajectory. Functionally, these multivalent RNA–RNA, RNA–protein and protein–protein interactions establish a two-RNA-factor authentication mechanism that explains TDMD selectivity and indicates ZSWIM8 can destabilize extensively trimmed miRNAs.
 Conclusion:ZSWIM8–CUL3 recognizes a trigger-induced AGO–miRNA conformation via multivalent interactions—including sensing a vacated PAZ pocket and flanking trigger RNA—to direct ARIH1-dependent polyubiquitylation of AGO and execute TDMD.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The E3 ubiquitin ligase mechanism specifying targeted microRNA degradation
 First author:Farnung J
 Journal:Nature
 DOI:10.1038/s41586-026-10232-0
 Reference:Farnung J., Slobodyanyuk E., Wang P.Y., Blodgett L.W., Lin D.H., von Gronau S., Schulman B.A. & Bartel D.P. The E3 ubiquitin ligase mechanism specifying targeted microRNA degradation. Nature (2026). https://doi.org/10.1038/s41586-026-10232-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/zswim8-cul3-tdmd-structure
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-23.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing TDMD mechanism, ZSWIM8–CUL3 E3 ligase architecture, AGO2–miRNA–trigger complex recognition, CYRANO/HSUR1 triggers, RNA flanking regions and RBEs, PAZ-pocket vacancy, dimeric clamp, and broader biological implications.- transcript topics: TDMD overview and cellular context; ZSWIM8–CUL3 E3 ligase architecture and dimer clamp; AGO2–miRNA–trigger complex recognition by ZSWIM8; Trigger RNAs (CYRANO, HSUR1) and pairing architecture; RNA flanking regions and RBEs in ZSWIM8 binding; PAZ pocket vacancy and RNA trajectory
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- TDMD is mediated by ZSWIM8–CUL3 E3 ligase polyubiquitylating AGO2–miRNA in the presence of a trigger RNA- ZSWIM8 preferentially binds AGO–miRNA–trigger ternaries over AGO–miRNA–seed-only complexes- ZSWIM8 operates as a dimer that cl...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2403486/c1a-p6xp7-kpod7g25c745-u7ivpz.png"></itunes:image>
                                                                            <itunes:duration>00:20:16</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2403486/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[323: Meat consumption and APOE ε3/ε4–ε4/ε4: slower cognitive decline and lower dementia risk in SNAC‑K]]>
                </title>
                <pubDate>Sun, 22 Mar 2026 13:11:34 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2402923</guid>
                                    <link>https://basebybase.castos.com/episodes/meat-apoe34-44-cognition</link>
                                <description>
                                            <![CDATA[<p>Norgren J et al., JAMA Network Open - Population-based SNAC-K study finds higher meat consumption associated with slower cognitive decline and lower dementia risk in APOE ε3/ε4 and ε4/ε4 older adults. Key terms: APOE4, meat consumption, dementia, episodic memory, SNAC-K.</p>
<p> Study Highlights:<br />Using the Swedish National Study on Aging and Care–Kungsholmen (SNAC-K) cohort of older adults and repeated validated food-frequency questionnaires, the authors applied panel data analyses with linear regression for cognitive trajectories and Fine and Gray models for dementia incidence. Higher total meat consumption (top vs bottom quintile) in APOE ε3/ε4 and ε4/ε4 participants was associated with better 10-year global cognitive trajectories (β = 0.32) and lower dementia risk (sHR = 0.45). The processed-to-total meat ratio was associated with higher dementia risk (sHR = 1.14) without APOE interaction. Post hoc vitamin B12 analyses suggested APOE-specific differences in nutrient uptake that could help explain the genotype-specific associations.</p>
<p> Conclusion:<br />Higher meat consumption was associated with slower cognitive decline and reduced dementia incidence among APOE ε3/ε4 and ε4/ε4 carriers, such that the expected excess risk in these genotypes was not observed at high intake levels.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Meat Consumption and Cognitive Health by APOE Genotype</p>
<p> First author:<br />Norgren J</p>
<p> Journal:<br />JAMA Network Open</p>
<p> DOI:<br />10.1001/jamanetworkopen.2026.6489</p>
<p> Reference:<br />Norgren J, Carballo-Casla A, Grande G, et al. Meat Consumption and Cognitive Health by APOE Genotype. JAMA Network Open. 2026;9(3):e266489. https://doi.org/10.1001/jamanetworkopen.2026.6489</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/meat-apoe34-44-cognition</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s representation of the paper’s core scientific claims: APOE4 carriers (APOE34/44) show cognitive benefits and reduced dementia risk with higher meat intake; non-APOE34/44 show no such association; processed meat increases dementia risk; unprocessed meat associates with lower mortality in APOE34/<br />- transcript topics: APOE gene and Alzheimer's risk; APOE4 vs APOE3/2 evolution and dietary adaptation; SNAC-K cohort design, dietary assessment, and cognitive outcomes; Total meat intake and cognitive trajectories by APOE genotype; Dementia incidence by APOE genotype and meat quintiles; Processed-to-total meat ratio and dementia risk</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- APOE34/44 carriers show improved cognitive trajectories and reduced dementia risk with higher meat intake (top quintile) compared with bottom quintile.<br />- Cognition and dementia benefits for APOE34/44 are quantified as β = 0.32 (P = .01) and sHR = 0.45 (P = .04) respectively....</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - A genetic flag for Alzheimer's disease?</li><li>(00:05:33) - APOE4 genetic risk of dementia</li><li>(00:11:30) - APOE4 Genotype and the Food Matrix</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Norgren J et al., JAMA Network Open - Population-based SNAC-K study finds higher meat consumption associated with slower cognitive decline and lower dementia risk in APOE ε3/ε4 and ε4/ε4 older adults. Key terms: APOE4, meat consumption, dementia, episodic memory, SNAC-K.
 Study Highlights:Using the Swedish National Study on Aging and Care–Kungsholmen (SNAC-K) cohort of older adults and repeated validated food-frequency questionnaires, the authors applied panel data analyses with linear regression for cognitive trajectories and Fine and Gray models for dementia incidence. Higher total meat consumption (top vs bottom quintile) in APOE ε3/ε4 and ε4/ε4 participants was associated with better 10-year global cognitive trajectories (β = 0.32) and lower dementia risk (sHR = 0.45). The processed-to-total meat ratio was associated with higher dementia risk (sHR = 1.14) without APOE interaction. Post hoc vitamin B12 analyses suggested APOE-specific differences in nutrient uptake that could help explain the genotype-specific associations.
 Conclusion:Higher meat consumption was associated with slower cognitive decline and reduced dementia incidence among APOE ε3/ε4 and ε4/ε4 carriers, such that the expected excess risk in these genotypes was not observed at high intake levels.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Meat Consumption and Cognitive Health by APOE Genotype
 First author:Norgren J
 Journal:JAMA Network Open
 DOI:10.1001/jamanetworkopen.2026.6489
 Reference:Norgren J, Carballo-Casla A, Grande G, et al. Meat Consumption and Cognitive Health by APOE Genotype. JAMA Network Open. 2026;9(3):e266489. https://doi.org/10.1001/jamanetworkopen.2026.6489
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/meat-apoe34-44-cognition
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s representation of the paper’s core scientific claims: APOE4 carriers (APOE34/44) show cognitive benefits and reduced dementia risk with higher meat intake; non-APOE34/44 show no such association; processed meat increases dementia risk; unprocessed meat associates with lower mortality in APOE34/- transcript topics: APOE gene and Alzheimer's risk; APOE4 vs APOE3/2 evolution and dietary adaptation; SNAC-K cohort design, dietary assessment, and cognitive outcomes; Total meat intake and cognitive trajectories by APOE genotype; Dementia incidence by APOE genotype and meat quintiles; Processed-to-total meat ratio and dementia risk
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- APOE34/44 carriers show improved cognitive trajectories and reduced dementia risk with higher meat intake (top quintile) compared with bottom quintile.- Cognition and dementia benefits for APOE34/44 are quantified as β = 0.32 (P = .01) and sHR = 0.45 (P = .04) respectively....]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[323: Meat consumption and APOE ε3/ε4–ε4/ε4: slower cognitive decline and lower dementia risk in SNAC‑K]]>
                </itunes:title>
                                    <itunes:episode>323</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
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                    <![CDATA[<p>Norgren J et al., JAMA Network Open - Population-based SNAC-K study finds higher meat consumption associated with slower cognitive decline and lower dementia risk in APOE ε3/ε4 and ε4/ε4 older adults. Key terms: APOE4, meat consumption, dementia, episodic memory, SNAC-K.</p>
<p> Study Highlights:<br />Using the Swedish National Study on Aging and Care–Kungsholmen (SNAC-K) cohort of older adults and repeated validated food-frequency questionnaires, the authors applied panel data analyses with linear regression for cognitive trajectories and Fine and Gray models for dementia incidence. Higher total meat consumption (top vs bottom quintile) in APOE ε3/ε4 and ε4/ε4 participants was associated with better 10-year global cognitive trajectories (β = 0.32) and lower dementia risk (sHR = 0.45). The processed-to-total meat ratio was associated with higher dementia risk (sHR = 1.14) without APOE interaction. Post hoc vitamin B12 analyses suggested APOE-specific differences in nutrient uptake that could help explain the genotype-specific associations.</p>
<p> Conclusion:<br />Higher meat consumption was associated with slower cognitive decline and reduced dementia incidence among APOE ε3/ε4 and ε4/ε4 carriers, such that the expected excess risk in these genotypes was not observed at high intake levels.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Meat Consumption and Cognitive Health by APOE Genotype</p>
<p> First author:<br />Norgren J</p>
<p> Journal:<br />JAMA Network Open</p>
<p> DOI:<br />10.1001/jamanetworkopen.2026.6489</p>
<p> Reference:<br />Norgren J, Carballo-Casla A, Grande G, et al. Meat Consumption and Cognitive Health by APOE Genotype. JAMA Network Open. 2026;9(3):e266489. https://doi.org/10.1001/jamanetworkopen.2026.6489</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/meat-apoe34-44-cognition</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s representation of the paper’s core scientific claims: APOE4 carriers (APOE34/44) show cognitive benefits and reduced dementia risk with higher meat intake; non-APOE34/44 show no such association; processed meat increases dementia risk; unprocessed meat associates with lower mortality in APOE34/<br />- transcript topics: APOE gene and Alzheimer's risk; APOE4 vs APOE3/2 evolution and dietary adaptation; SNAC-K cohort design, dietary assessment, and cognitive outcomes; Total meat intake and cognitive trajectories by APOE genotype; Dementia incidence by APOE genotype and meat quintiles; Processed-to-total meat ratio and dementia risk</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- APOE34/44 carriers show improved cognitive trajectories and reduced dementia risk with higher meat intake (top quintile) compared with bottom quintile.<br />- Cognition and dementia benefits for APOE34/44 are quantified as β = 0.32 (P = .01) and sHR = 0.45 (P = .04) respectively.<br />- No cognitive or dementia associations with meat intake in non-APOE34/44 genotypes (APOE22/23/24/33).<br />- A higher processed-to-total meat ratio is unfavorably associated with dementia (sHR = 1.14; P = .04) with no APOE interaction.<br />- Post hoc analyses: unprocessed meat linked to lower all-cause mortality in APOE34/44 (HR = 0.85; P = .04; P for interaction = .03).<br />- Vitamin B12 absorption differences via food matrix proposed as a mechanism; APOE4 may absorb more from meat matrix than from other sources.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Norgren J et al., JAMA Network Open - Population-based SNAC-K study finds higher meat consumption associated with slower cognitive decline and lower dementia risk in APOE ε3/ε4 and ε4/ε4 older adults. Key terms: APOE4, meat consumption, dementia, episodic memory, SNAC-K.
 Study Highlights:Using the Swedish National Study on Aging and Care–Kungsholmen (SNAC-K) cohort of older adults and repeated validated food-frequency questionnaires, the authors applied panel data analyses with linear regression for cognitive trajectories and Fine and Gray models for dementia incidence. Higher total meat consumption (top vs bottom quintile) in APOE ε3/ε4 and ε4/ε4 participants was associated with better 10-year global cognitive trajectories (β = 0.32) and lower dementia risk (sHR = 0.45). The processed-to-total meat ratio was associated with higher dementia risk (sHR = 1.14) without APOE interaction. Post hoc vitamin B12 analyses suggested APOE-specific differences in nutrient uptake that could help explain the genotype-specific associations.
 Conclusion:Higher meat consumption was associated with slower cognitive decline and reduced dementia incidence among APOE ε3/ε4 and ε4/ε4 carriers, such that the expected excess risk in these genotypes was not observed at high intake levels.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Meat Consumption and Cognitive Health by APOE Genotype
 First author:Norgren J
 Journal:JAMA Network Open
 DOI:10.1001/jamanetworkopen.2026.6489
 Reference:Norgren J, Carballo-Casla A, Grande G, et al. Meat Consumption and Cognitive Health by APOE Genotype. JAMA Network Open. 2026;9(3):e266489. https://doi.org/10.1001/jamanetworkopen.2026.6489
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/meat-apoe34-44-cognition
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s representation of the paper’s core scientific claims: APOE4 carriers (APOE34/44) show cognitive benefits and reduced dementia risk with higher meat intake; non-APOE34/44 show no such association; processed meat increases dementia risk; unprocessed meat associates with lower mortality in APOE34/- transcript topics: APOE gene and Alzheimer's risk; APOE4 vs APOE3/2 evolution and dietary adaptation; SNAC-K cohort design, dietary assessment, and cognitive outcomes; Total meat intake and cognitive trajectories by APOE genotype; Dementia incidence by APOE genotype and meat quintiles; Processed-to-total meat ratio and dementia risk
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- APOE34/44 carriers show improved cognitive trajectories and reduced dementia risk with higher meat intake (top quintile) compared with bottom quintile.- Cognition and dementia benefits for APOE34/44 are quantified as β = 0.32 (P = .01) and sHR = 0.45 (P = .04) respectively....]]>
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                                                                            <itunes:duration>00:20:16</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                    <item>
                <title>
                    <![CDATA[322: Bi-allelic RNU6ATAC and RNU4ATAC variants cause infancy-onset autoimmune diabetes via minor spliceosome U12 intron retention]]>
                </title>
                <pubDate>Sun, 22 Mar 2026 07:13:33 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2402814</guid>
                                    <link>https://basebybase.castos.com/episodes/rnu6atac-rnu4atac-minor-spliceosome</link>
                                <description>
                                            <![CDATA[<p>Johnson MB et al., The American Journal of Human Genetics - Bi-allelic variants in snRNAs RNU6ATAC and RNU4ATAC cause infancy-onset autoimmune diabetes in humans, with RNA-seq showing U12 intron retention and impaired B cell development. Key terms: RNU6ATAC, RNU4ATAC, minor spliceosome, U12 intron retention, autoimmune diabetes.</p>
<p> Study Highlights:<br />In human infants with early-onset diabetes and immune dysregulation, the authors used genome sequencing, RNA-seq, DNA methylation deconvolution, WGCNA, Sanger sequencing, and flow cytometry to define a genetic syndrome. They identified 19 individuals with bi-allelic RNU6ATAC or RNU4ATAC variants and RNA-seq revealed significant U12 intron retention in 274 genes, 94% of which are known U12-intron-containing genes. Multi-omic analyses and targeted immune profiling showed reduced naive B cells and abnormal B cell maturation. Half of tested individuals were GADA-positive, supporting an autoimmune mechanism for the diabetes in these snRNA spliceosome disorders.</p>
<p> Conclusion:<br />Bi-allelic pathogenic variants in RNU6ATAC cause early-onset autoimmune diabetes with immune dysregulation and bi-allelic RNU4ATAC variants extend RNU4ATAC-opathy to include infancy-onset autoimmune diabetes.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in the non-protein-coding minor spliceosome components RNU6ATAC and RNU4ATAC cause syndromic monogenic autoimmune diabetes</p>
<p> First author:<br />Johnson MB</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.017</p>
<p> Reference:<br />Johnson MB, Russ-Silsby J, Blair PA, Govier M, Bonfield G, Domingo-Vila C, EXE-T1D consortium, ATAC clinical consortium, Wakeling MN, Oram RA, Flanagan SE, Tree TIM, Patel KA, Hattersley AT, De Franco E. Bi-allelic variants in the non-protein-coding minor spliceosome components RNU6ATAC and RNU4ATAC cause syndromic monogenic autoimmune diabetes. The American Journal of Human Genetics. 2026 Apr 2;113:1–11. https://doi.org/10.1016/j.ajhg.2026.02.017</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/rnu6atac-rnu4atac-minor-spliceosome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing (a) minor spliceosome biology and snRNA function, (b) genetic findings in RNU6ATAC and RNU4ATAC, (c) U12 intron retention as a shared mechanism, (d) B cell development impairment and multi-omic immune profiling, (e) autoimmunity evidence (GADA positivity), (f) clinical phenoty<br />- transcript topics: Minor spliceosome biology and U12 introns; RNU6ATAC bi-allelic variants; RNU4ATAC bi-allelic variants and interaction with RNU6ATAC; RNA-seq intron retention in U12 genes; B cell development and maturation defects; Islet autoantibody positivity in early-onset diabetes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 19...</p>
<h3>Chapters</h3>
<ul><li>(00:00:11) - The dark matter of human genetics</li><li>(00:06:06) - Common mutations in the RNU4ATAK gene cause diabetes</li><li>(00:12:50) - The genetics of autoimmune diabetes</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Johnson MB et al., The American Journal of Human Genetics - Bi-allelic variants in snRNAs RNU6ATAC and RNU4ATAC cause infancy-onset autoimmune diabetes in humans, with RNA-seq showing U12 intron retention and impaired B cell development. Key terms: RNU6ATAC, RNU4ATAC, minor spliceosome, U12 intron retention, autoimmune diabetes.
 Study Highlights:In human infants with early-onset diabetes and immune dysregulation, the authors used genome sequencing, RNA-seq, DNA methylation deconvolution, WGCNA, Sanger sequencing, and flow cytometry to define a genetic syndrome. They identified 19 individuals with bi-allelic RNU6ATAC or RNU4ATAC variants and RNA-seq revealed significant U12 intron retention in 274 genes, 94% of which are known U12-intron-containing genes. Multi-omic analyses and targeted immune profiling showed reduced naive B cells and abnormal B cell maturation. Half of tested individuals were GADA-positive, supporting an autoimmune mechanism for the diabetes in these snRNA spliceosome disorders.
 Conclusion:Bi-allelic pathogenic variants in RNU6ATAC cause early-onset autoimmune diabetes with immune dysregulation and bi-allelic RNU4ATAC variants extend RNU4ATAC-opathy to include infancy-onset autoimmune diabetes.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in the non-protein-coding minor spliceosome components RNU6ATAC and RNU4ATAC cause syndromic monogenic autoimmune diabetes
 First author:Johnson MB
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.017
 Reference:Johnson MB, Russ-Silsby J, Blair PA, Govier M, Bonfield G, Domingo-Vila C, EXE-T1D consortium, ATAC clinical consortium, Wakeling MN, Oram RA, Flanagan SE, Tree TIM, Patel KA, Hattersley AT, De Franco E. Bi-allelic variants in the non-protein-coding minor spliceosome components RNU6ATAC and RNU4ATAC cause syndromic monogenic autoimmune diabetes. The American Journal of Human Genetics. 2026 Apr 2;113:1–11. https://doi.org/10.1016/j.ajhg.2026.02.017
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/rnu6atac-rnu4atac-minor-spliceosome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing (a) minor spliceosome biology and snRNA function, (b) genetic findings in RNU6ATAC and RNU4ATAC, (c) U12 intron retention as a shared mechanism, (d) B cell development impairment and multi-omic immune profiling, (e) autoimmunity evidence (GADA positivity), (f) clinical phenoty- transcript topics: Minor spliceosome biology and U12 introns; RNU6ATAC bi-allelic variants; RNU4ATAC bi-allelic variants and interaction with RNU6ATAC; RNA-seq intron retention in U12 genes; B cell development and maturation defects; Islet autoantibody positivity in early-onset diabetes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 19...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[322: Bi-allelic RNU6ATAC and RNU4ATAC variants cause infancy-onset autoimmune diabetes via minor spliceosome U12 intron retention]]>
                </itunes:title>
                                    <itunes:episode>322</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Johnson MB et al., The American Journal of Human Genetics - Bi-allelic variants in snRNAs RNU6ATAC and RNU4ATAC cause infancy-onset autoimmune diabetes in humans, with RNA-seq showing U12 intron retention and impaired B cell development. Key terms: RNU6ATAC, RNU4ATAC, minor spliceosome, U12 intron retention, autoimmune diabetes.</p>
<p> Study Highlights:<br />In human infants with early-onset diabetes and immune dysregulation, the authors used genome sequencing, RNA-seq, DNA methylation deconvolution, WGCNA, Sanger sequencing, and flow cytometry to define a genetic syndrome. They identified 19 individuals with bi-allelic RNU6ATAC or RNU4ATAC variants and RNA-seq revealed significant U12 intron retention in 274 genes, 94% of which are known U12-intron-containing genes. Multi-omic analyses and targeted immune profiling showed reduced naive B cells and abnormal B cell maturation. Half of tested individuals were GADA-positive, supporting an autoimmune mechanism for the diabetes in these snRNA spliceosome disorders.</p>
<p> Conclusion:<br />Bi-allelic pathogenic variants in RNU6ATAC cause early-onset autoimmune diabetes with immune dysregulation and bi-allelic RNU4ATAC variants extend RNU4ATAC-opathy to include infancy-onset autoimmune diabetes.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in the non-protein-coding minor spliceosome components RNU6ATAC and RNU4ATAC cause syndromic monogenic autoimmune diabetes</p>
<p> First author:<br />Johnson MB</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.017</p>
<p> Reference:<br />Johnson MB, Russ-Silsby J, Blair PA, Govier M, Bonfield G, Domingo-Vila C, EXE-T1D consortium, ATAC clinical consortium, Wakeling MN, Oram RA, Flanagan SE, Tree TIM, Patel KA, Hattersley AT, De Franco E. Bi-allelic variants in the non-protein-coding minor spliceosome components RNU6ATAC and RNU4ATAC cause syndromic monogenic autoimmune diabetes. The American Journal of Human Genetics. 2026 Apr 2;113:1–11. https://doi.org/10.1016/j.ajhg.2026.02.017</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/rnu6atac-rnu4atac-minor-spliceosome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing (a) minor spliceosome biology and snRNA function, (b) genetic findings in RNU6ATAC and RNU4ATAC, (c) U12 intron retention as a shared mechanism, (d) B cell development impairment and multi-omic immune profiling, (e) autoimmunity evidence (GADA positivity), (f) clinical phenoty<br />- transcript topics: Minor spliceosome biology and U12 introns; RNU6ATAC bi-allelic variants; RNU4ATAC bi-allelic variants and interaction with RNU6ATAC; RNA-seq intron retention in U12 genes; B cell development and maturation defects; Islet autoantibody positivity in early-onset diabetes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 19 individuals from 16 families with bi-allelic variants in RNU6ATAC or RNU4ATAC<br />- RNA-seq shows U12 intron retention in 274 genes (274/258 known U12 genes; 94% overlap with IAOD)<br />- 50% of tested individuals were GADA-positive<br />- Reduced naive B cells and impaired B cell maturation validated by DNA methylation deconvolution and flow cytometry<br />- Infancy-onset insulin-dependent diabetes (median onset ~17–20 weeks)</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Johnson MB et al., The American Journal of Human Genetics - Bi-allelic variants in snRNAs RNU6ATAC and RNU4ATAC cause infancy-onset autoimmune diabetes in humans, with RNA-seq showing U12 intron retention and impaired B cell development. Key terms: RNU6ATAC, RNU4ATAC, minor spliceosome, U12 intron retention, autoimmune diabetes.
 Study Highlights:In human infants with early-onset diabetes and immune dysregulation, the authors used genome sequencing, RNA-seq, DNA methylation deconvolution, WGCNA, Sanger sequencing, and flow cytometry to define a genetic syndrome. They identified 19 individuals with bi-allelic RNU6ATAC or RNU4ATAC variants and RNA-seq revealed significant U12 intron retention in 274 genes, 94% of which are known U12-intron-containing genes. Multi-omic analyses and targeted immune profiling showed reduced naive B cells and abnormal B cell maturation. Half of tested individuals were GADA-positive, supporting an autoimmune mechanism for the diabetes in these snRNA spliceosome disorders.
 Conclusion:Bi-allelic pathogenic variants in RNU6ATAC cause early-onset autoimmune diabetes with immune dysregulation and bi-allelic RNU4ATAC variants extend RNU4ATAC-opathy to include infancy-onset autoimmune diabetes.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in the non-protein-coding minor spliceosome components RNU6ATAC and RNU4ATAC cause syndromic monogenic autoimmune diabetes
 First author:Johnson MB
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.017
 Reference:Johnson MB, Russ-Silsby J, Blair PA, Govier M, Bonfield G, Domingo-Vila C, EXE-T1D consortium, ATAC clinical consortium, Wakeling MN, Oram RA, Flanagan SE, Tree TIM, Patel KA, Hattersley AT, De Franco E. Bi-allelic variants in the non-protein-coding minor spliceosome components RNU6ATAC and RNU4ATAC cause syndromic monogenic autoimmune diabetes. The American Journal of Human Genetics. 2026 Apr 2;113:1–11. https://doi.org/10.1016/j.ajhg.2026.02.017
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/rnu6atac-rnu4atac-minor-spliceosome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing (a) minor spliceosome biology and snRNA function, (b) genetic findings in RNU6ATAC and RNU4ATAC, (c) U12 intron retention as a shared mechanism, (d) B cell development impairment and multi-omic immune profiling, (e) autoimmunity evidence (GADA positivity), (f) clinical phenoty- transcript topics: Minor spliceosome biology and U12 introns; RNU6ATAC bi-allelic variants; RNU4ATAC bi-allelic variants and interaction with RNU6ATAC; RNA-seq intron retention in U12 genes; B cell development and maturation defects; Islet autoantibody positivity in early-onset diabetes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 19...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2402814/c1a-p6xp7-xxk822pzsr8j-jucfdc.png"></itunes:image>
                                                                            <itunes:duration>00:22:50</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2402814/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[321: All five canonical nucleobases detected in Ryugu samples]]>
                </title>
                <pubDate>Fri, 20 Mar 2026 23:52:05 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2402126</guid>
                                    <link>https://basebybase.castos.com/episodes/ryugu-nucleobases-ammonia-correlation</link>
                                <description>
                                            <![CDATA[<p>Koga T et al., Nature Astronomy - Ryugu asteroid samples analyzed by HPLC/ESI-HRMS reveal all five canonical nucleobases (adenine, guanine, cytosine, thymine, uracil) and distribution linked to ammonia. Key terms: Ryugu, nucleobases, adenine, HPLC/ESI-HRMS, purine-to-pyrimidine ratio.</p>
<p> Study Highlights:<br />The team analysed Ryugu aggregate samples A0480 and C0370 and the Orgueil meteorite using water and HCl extraction followed by HPLC/ESI-HRMS, CE-HRMS and nano-EA/IRMS. They identified all five canonical nucleobases and measured total nucleobase concentrations (C0370 = 1,577 pmol g−1) and purine-to-pyrimidine (Pu/Py) ratios of ~1.1–1.2 in Ryugu contrasted with 0.099 in Orgueil and 3.4 in Murchison. A strong negative correlation (R2=0.89) between Pu/Py ratios and ammonia across Ryugu, Bennu and Orgueil implies ammonia availability influenced nucleobase formation pathways. The results support widespread abiotic nucleobase synthesis in carbonaceous parent bodies and potential delivery of diverse prebiotic molecules to early Earth.</p>
<p> Conclusion:<br />All five canonical nucleobases are present in Ryugu samples and their purine-to-pyrimidine distributions, which correlate with ammonia, indicate shared but environment-dependent formation pathways on carbonaceous parent bodies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A complete set of canonical nucleobases in the carbonaceous asteroid (162173) Ryugu</p>
<p> First author:<br />Koga T</p>
<p> Journal:<br />Nature Astronomy</p>
<p> DOI:<br />10.1038/s41550-026-02791-z</p>
<p> Reference:<br />Koga T., Ogawa N. O., Ohkouchi N., Oba Y., Takano Y., Naraoka H., Sasaki K., Sato H., Yoshimura T. et al. A complete set of canonical nucleobases in the carbonaceous asteroid (162173) Ryugu. Nature Astronomy (2026). https://doi.org/10.1038/s41550-026-02791-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ryugu-nucleobases-ammonia-correlation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections presenting nucleobase detection, extraction/analytical workflow, concentration data for Ryugu samples, Pu/Py ratios across samples, ammonia correlation, abiotic/isomer evidence (6-methyluracil, hypoxanthine isomer), Chargaff's rule discussion, isotopic signatures, contamination controls, and<br />- transcript topics: Detection of all five canonical nucleobases in Ryugu; Sequential extraction workflow (water then HCl) and analytical methods (HPLC/ESI-HRMS, CE-HRMS, nano-EA/IRMS); Concentrations of nucleobases in Ryugu samples A0480 and C0370; comparison to Orgueil; Pu/Py (purine/pyrimidine) ratios across Ryugu, Bennu, Orgueil, and Murchison; Correlation between Pu/Py ratios and ammonia concentrations; Evidence for abiotic nucleobase formation: non-biological isomers (6-methyluracil) and hypoxanthine isomer</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- All...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Decoding the cosmic delivery of life</li><li>(00:03:18) - The Ryugu Meteorite</li><li>(00:08:52) - The Prebiotic grocery list of Earth</li><li>(00:14:13) - The structure of DNA in the asteroid</li><li>(00:15:38) - The Search for Life on Earth</li><li>(00:21:26) - What Does This All Mean for Life?</li><li>(00:26:39) - Falling Into You</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Koga T et al., Nature Astronomy - Ryugu asteroid samples analyzed by HPLC/ESI-HRMS reveal all five canonical nucleobases (adenine, guanine, cytosine, thymine, uracil) and distribution linked to ammonia. Key terms: Ryugu, nucleobases, adenine, HPLC/ESI-HRMS, purine-to-pyrimidine ratio.
 Study Highlights:The team analysed Ryugu aggregate samples A0480 and C0370 and the Orgueil meteorite using water and HCl extraction followed by HPLC/ESI-HRMS, CE-HRMS and nano-EA/IRMS. They identified all five canonical nucleobases and measured total nucleobase concentrations (C0370 = 1,577 pmol g−1) and purine-to-pyrimidine (Pu/Py) ratios of ~1.1–1.2 in Ryugu contrasted with 0.099 in Orgueil and 3.4 in Murchison. A strong negative correlation (R2=0.89) between Pu/Py ratios and ammonia across Ryugu, Bennu and Orgueil implies ammonia availability influenced nucleobase formation pathways. The results support widespread abiotic nucleobase synthesis in carbonaceous parent bodies and potential delivery of diverse prebiotic molecules to early Earth.
 Conclusion:All five canonical nucleobases are present in Ryugu samples and their purine-to-pyrimidine distributions, which correlate with ammonia, indicate shared but environment-dependent formation pathways on carbonaceous parent bodies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A complete set of canonical nucleobases in the carbonaceous asteroid (162173) Ryugu
 First author:Koga T
 Journal:Nature Astronomy
 DOI:10.1038/s41550-026-02791-z
 Reference:Koga T., Ogawa N. O., Ohkouchi N., Oba Y., Takano Y., Naraoka H., Sasaki K., Sato H., Yoshimura T. et al. A complete set of canonical nucleobases in the carbonaceous asteroid (162173) Ryugu. Nature Astronomy (2026). https://doi.org/10.1038/s41550-026-02791-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ryugu-nucleobases-ammonia-correlation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections presenting nucleobase detection, extraction/analytical workflow, concentration data for Ryugu samples, Pu/Py ratios across samples, ammonia correlation, abiotic/isomer evidence (6-methyluracil, hypoxanthine isomer), Chargaff's rule discussion, isotopic signatures, contamination controls, and- transcript topics: Detection of all five canonical nucleobases in Ryugu; Sequential extraction workflow (water then HCl) and analytical methods (HPLC/ESI-HRMS, CE-HRMS, nano-EA/IRMS); Concentrations of nucleobases in Ryugu samples A0480 and C0370; comparison to Orgueil; Pu/Py (purine/pyrimidine) ratios across Ryugu, Bennu, Orgueil, and Murchison; Correlation between Pu/Py ratios and ammonia concentrations; Evidence for abiotic nucleobase formation: non-biological isomers (6-methyluracil) and hypoxanthine isomer
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- All...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[321: All five canonical nucleobases detected in Ryugu samples]]>
                </itunes:title>
                                    <itunes:episode>321</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Koga T et al., Nature Astronomy - Ryugu asteroid samples analyzed by HPLC/ESI-HRMS reveal all five canonical nucleobases (adenine, guanine, cytosine, thymine, uracil) and distribution linked to ammonia. Key terms: Ryugu, nucleobases, adenine, HPLC/ESI-HRMS, purine-to-pyrimidine ratio.</p>
<p> Study Highlights:<br />The team analysed Ryugu aggregate samples A0480 and C0370 and the Orgueil meteorite using water and HCl extraction followed by HPLC/ESI-HRMS, CE-HRMS and nano-EA/IRMS. They identified all five canonical nucleobases and measured total nucleobase concentrations (C0370 = 1,577 pmol g−1) and purine-to-pyrimidine (Pu/Py) ratios of ~1.1–1.2 in Ryugu contrasted with 0.099 in Orgueil and 3.4 in Murchison. A strong negative correlation (R2=0.89) between Pu/Py ratios and ammonia across Ryugu, Bennu and Orgueil implies ammonia availability influenced nucleobase formation pathways. The results support widespread abiotic nucleobase synthesis in carbonaceous parent bodies and potential delivery of diverse prebiotic molecules to early Earth.</p>
<p> Conclusion:<br />All five canonical nucleobases are present in Ryugu samples and their purine-to-pyrimidine distributions, which correlate with ammonia, indicate shared but environment-dependent formation pathways on carbonaceous parent bodies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A complete set of canonical nucleobases in the carbonaceous asteroid (162173) Ryugu</p>
<p> First author:<br />Koga T</p>
<p> Journal:<br />Nature Astronomy</p>
<p> DOI:<br />10.1038/s41550-026-02791-z</p>
<p> Reference:<br />Koga T., Ogawa N. O., Ohkouchi N., Oba Y., Takano Y., Naraoka H., Sasaki K., Sato H., Yoshimura T. et al. A complete set of canonical nucleobases in the carbonaceous asteroid (162173) Ryugu. Nature Astronomy (2026). https://doi.org/10.1038/s41550-026-02791-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ryugu-nucleobases-ammonia-correlation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections presenting nucleobase detection, extraction/analytical workflow, concentration data for Ryugu samples, Pu/Py ratios across samples, ammonia correlation, abiotic/isomer evidence (6-methyluracil, hypoxanthine isomer), Chargaff's rule discussion, isotopic signatures, contamination controls, and<br />- transcript topics: Detection of all five canonical nucleobases in Ryugu; Sequential extraction workflow (water then HCl) and analytical methods (HPLC/ESI-HRMS, CE-HRMS, nano-EA/IRMS); Concentrations of nucleobases in Ryugu samples A0480 and C0370; comparison to Orgueil; Pu/Py (purine/pyrimidine) ratios across Ryugu, Bennu, Orgueil, and Murchison; Correlation between Pu/Py ratios and ammonia concentrations; Evidence for abiotic nucleobase formation: non-biological isomers (6-methyluracil) and hypoxanthine isomer</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- All five canonical nucleobases detected in Ryugu samples A0480 and C0370 (adenine, guanine, cytosine, thymine, uracil).<br />- Total nucleobase concentration in C0370: 1577 ± 35 pmol g−1; in A0480: 507 ± 21 pmol g−1.<br />- Pu/Py ratios: Ryugu A0480 ≈ 1.1–1.2; Ryugu C0370 ≈ 1.1–1.2; Orgueil ≈ 0.099; Bennu ≈ 0.55; Murchison ≈ 3.4.<br />- Pu/Py ratio negatively correlates with ammonia across Ryugu, Bennu, Orgueil (R2 ≈ 0.89).<br />- Detection of non-biological isomers (e.g., 6-methyluracil) and an hypoxanthine isomer.<br />- Isotopic signatures show heavy isotopes (δ13C and δ15N) in soluble components, supporting a space origin.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Koga T et al., Nature Astronomy - Ryugu asteroid samples analyzed by HPLC/ESI-HRMS reveal all five canonical nucleobases (adenine, guanine, cytosine, thymine, uracil) and distribution linked to ammonia. Key terms: Ryugu, nucleobases, adenine, HPLC/ESI-HRMS, purine-to-pyrimidine ratio.
 Study Highlights:The team analysed Ryugu aggregate samples A0480 and C0370 and the Orgueil meteorite using water and HCl extraction followed by HPLC/ESI-HRMS, CE-HRMS and nano-EA/IRMS. They identified all five canonical nucleobases and measured total nucleobase concentrations (C0370 = 1,577 pmol g−1) and purine-to-pyrimidine (Pu/Py) ratios of ~1.1–1.2 in Ryugu contrasted with 0.099 in Orgueil and 3.4 in Murchison. A strong negative correlation (R2=0.89) between Pu/Py ratios and ammonia across Ryugu, Bennu and Orgueil implies ammonia availability influenced nucleobase formation pathways. The results support widespread abiotic nucleobase synthesis in carbonaceous parent bodies and potential delivery of diverse prebiotic molecules to early Earth.
 Conclusion:All five canonical nucleobases are present in Ryugu samples and their purine-to-pyrimidine distributions, which correlate with ammonia, indicate shared but environment-dependent formation pathways on carbonaceous parent bodies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A complete set of canonical nucleobases in the carbonaceous asteroid (162173) Ryugu
 First author:Koga T
 Journal:Nature Astronomy
 DOI:10.1038/s41550-026-02791-z
 Reference:Koga T., Ogawa N. O., Ohkouchi N., Oba Y., Takano Y., Naraoka H., Sasaki K., Sato H., Yoshimura T. et al. A complete set of canonical nucleobases in the carbonaceous asteroid (162173) Ryugu. Nature Astronomy (2026). https://doi.org/10.1038/s41550-026-02791-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ryugu-nucleobases-ammonia-correlation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections presenting nucleobase detection, extraction/analytical workflow, concentration data for Ryugu samples, Pu/Py ratios across samples, ammonia correlation, abiotic/isomer evidence (6-methyluracil, hypoxanthine isomer), Chargaff's rule discussion, isotopic signatures, contamination controls, and- transcript topics: Detection of all five canonical nucleobases in Ryugu; Sequential extraction workflow (water then HCl) and analytical methods (HPLC/ESI-HRMS, CE-HRMS, nano-EA/IRMS); Concentrations of nucleobases in Ryugu samples A0480 and C0370; comparison to Orgueil; Pu/Py (purine/pyrimidine) ratios across Ryugu, Bennu, Orgueil, and Murchison; Correlation between Pu/Py ratios and ammonia concentrations; Evidence for abiotic nucleobase formation: non-biological isomers (6-methyluracil) and hypoxanthine isomer
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- All...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2402126/c1a-p6xp7-345gpp2vup7w-saw2sy.png"></itunes:image>
                                                                            <itunes:duration>00:29:52</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[320: Sex-stratified cQTL mapping identifies TOX (IFN-γ) and EGFR (IL-10) regulators in Dutch and Tanzanian cohorts]]>
                </title>
                <pubDate>Thu, 19 Mar 2026 06:18:37 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2400620</guid>
                                    <link>https://basebybase.castos.com/episodes/sex-stratified-cytokine-qtl</link>
                                <description>
                                            <![CDATA[<p>Amour C et al., Human Genetics and Genomics Advances, Journal Pre-proof - Sex-stratified cQTL mapping in Tanzanian and Dutch adults identifies sex-specific regulators such as TOX-linked IFN-γ in males and EGFR-linked IL-10 in females, revealing multiple genome-wide cQTLs. Key terms: TOX, EGFR, cytokine QTL, sex-stratified GWAS, Tanzania-Netherlands.</p>
<p> Study Highlights:<br />The study analyzed cytokine production after ex vivo stimulation in two human cohorts (Tanzania 300TZFG and Dutch 500FG) using sex-stratified cytokine QTL mapping with linear models adjusted for cell counts and covariates. Genotyping, imputation, ELISA cytokine assays, colocalization (coloc) and SNP×sex interaction tests were applied to test sex-specific genetic effects. The authors report twelve genome-wide significant cQTLs in the Tanzanian cohort (seven male-specific, five female-specific) and twelve in the Dutch cohort with multiple sex-specific loci, highlighting TOX-associated IFN-γ regulation in males and EGFR-linked IL-10 regulation in females. These sex-specific autosomal effects altered which associations were detectable in pooled analyses, implying implications for sex-aware precision approaches to immune-related diseases.</p>
<p> Conclusion:<br />Sex-stratified autosomal analyses identify distinct genetic regulators of cytokine production, demonstrating that many cQTLs act in a sex-specific manner across Tanzanian and Dutch cohorts and can be missed by pooled analyses.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Sex-stratified genetic regulators of cytokine production in the Dutch and Tanzanian populations</p>
<p> First author:<br />Amour C</p>
<p> Journal:<br />Human Genetics and Genomics Advances, Journal Pre-proof</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100593</p>
<p> Reference:<br />Amour C, Cetatean R, Ponce IR, Keur N, Temba GS, Kullaya VI, Mmbaga BT, Kavishe R, Joosten LAB, Netea MG, de Mast Q, Boahen CK, Kumar V, Sex-stratified genetic regulators of cytokine production in the Dutch and Tanzanian populations, Human Genetics and Genomics Advances (2026), doi: https://doi.org/10.1016/j.xhgg.2026.100593.</p>
<p> License:<br />Not specified in the provided text.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/sex-stratified-cytokine-qtl</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing (1) Tanzanian cohort results (12 cQTLs; 7 male-specific, 5 female-specific), (2) Dutch cohort results (12 cQTLs; 6 male-specific, 6 female-specific), (3) exemplar sex-specific loci TOX (male IFN-γ) and EGFR (female IL-10), (4) CNTNAP2 and ANXA8 findings, (5) colocalization ana<br />- transcript topics: Sex differences in immune regulation and cytokine signaling; Cohort design: Tanzanian (TZ) and Dutch (NL) sex-stratified cQTL mapping; TOX locus and IFN-γ response in males (S. pneumoniae); EGFR locus and IL-10 response in females (C. burnetii); CNTNAP2 locus and IFN-γ response in females (M. tuberculosis).; ANXA8 locus and TNF-α response in females (C. albicans)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Amour C et al., Human Genetics and Genomics Advances, Journal Pre-proof - Sex-stratified cQTL mapping in Tanzanian and Dutch adults identifies sex-specific regulators such as TOX-linked IFN-γ in males and EGFR-linked IL-10 in females, revealing multiple genome-wide cQTLs. Key terms: TOX, EGFR, cytokine QTL, sex-stratified GWAS, Tanzania-Netherlands.
 Study Highlights:The study analyzed cytokine production after ex vivo stimulation in two human cohorts (Tanzania 300TZFG and Dutch 500FG) using sex-stratified cytokine QTL mapping with linear models adjusted for cell counts and covariates. Genotyping, imputation, ELISA cytokine assays, colocalization (coloc) and SNP×sex interaction tests were applied to test sex-specific genetic effects. The authors report twelve genome-wide significant cQTLs in the Tanzanian cohort (seven male-specific, five female-specific) and twelve in the Dutch cohort with multiple sex-specific loci, highlighting TOX-associated IFN-γ regulation in males and EGFR-linked IL-10 regulation in females. These sex-specific autosomal effects altered which associations were detectable in pooled analyses, implying implications for sex-aware precision approaches to immune-related diseases.
 Conclusion:Sex-stratified autosomal analyses identify distinct genetic regulators of cytokine production, demonstrating that many cQTLs act in a sex-specific manner across Tanzanian and Dutch cohorts and can be missed by pooled analyses.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Sex-stratified genetic regulators of cytokine production in the Dutch and Tanzanian populations
 First author:Amour C
 Journal:Human Genetics and Genomics Advances, Journal Pre-proof
 DOI:10.1016/j.xhgg.2026.100593
 Reference:Amour C, Cetatean R, Ponce IR, Keur N, Temba GS, Kullaya VI, Mmbaga BT, Kavishe R, Joosten LAB, Netea MG, de Mast Q, Boahen CK, Kumar V, Sex-stratified genetic regulators of cytokine production in the Dutch and Tanzanian populations, Human Genetics and Genomics Advances (2026), doi: https://doi.org/10.1016/j.xhgg.2026.100593.
 License:Not specified in the provided text.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/sex-stratified-cytokine-qtl
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing (1) Tanzanian cohort results (12 cQTLs; 7 male-specific, 5 female-specific), (2) Dutch cohort results (12 cQTLs; 6 male-specific, 6 female-specific), (3) exemplar sex-specific loci TOX (male IFN-γ) and EGFR (female IL-10), (4) CNTNAP2 and ANXA8 findings, (5) colocalization ana- transcript topics: Sex differences in immune regulation and cytokine signaling; Cohort design: Tanzanian (TZ) and Dutch (NL) sex-stratified cQTL mapping; TOX locus and IFN-γ response in males (S. pneumoniae); EGFR locus and IL-10 response in females (C. burnetii); CNTNAP2 locus and IFN-γ response in females (M. tuberculosis).; ANXA8 locus and TNF-α response in females (C. albicans)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[320: Sex-stratified cQTL mapping identifies TOX (IFN-γ) and EGFR (IL-10) regulators in Dutch and Tanzanian cohorts]]>
                </itunes:title>
                                    <itunes:episode>320</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Amour C et al., Human Genetics and Genomics Advances, Journal Pre-proof - Sex-stratified cQTL mapping in Tanzanian and Dutch adults identifies sex-specific regulators such as TOX-linked IFN-γ in males and EGFR-linked IL-10 in females, revealing multiple genome-wide cQTLs. Key terms: TOX, EGFR, cytokine QTL, sex-stratified GWAS, Tanzania-Netherlands.</p>
<p> Study Highlights:<br />The study analyzed cytokine production after ex vivo stimulation in two human cohorts (Tanzania 300TZFG and Dutch 500FG) using sex-stratified cytokine QTL mapping with linear models adjusted for cell counts and covariates. Genotyping, imputation, ELISA cytokine assays, colocalization (coloc) and SNP×sex interaction tests were applied to test sex-specific genetic effects. The authors report twelve genome-wide significant cQTLs in the Tanzanian cohort (seven male-specific, five female-specific) and twelve in the Dutch cohort with multiple sex-specific loci, highlighting TOX-associated IFN-γ regulation in males and EGFR-linked IL-10 regulation in females. These sex-specific autosomal effects altered which associations were detectable in pooled analyses, implying implications for sex-aware precision approaches to immune-related diseases.</p>
<p> Conclusion:<br />Sex-stratified autosomal analyses identify distinct genetic regulators of cytokine production, demonstrating that many cQTLs act in a sex-specific manner across Tanzanian and Dutch cohorts and can be missed by pooled analyses.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Sex-stratified genetic regulators of cytokine production in the Dutch and Tanzanian populations</p>
<p> First author:<br />Amour C</p>
<p> Journal:<br />Human Genetics and Genomics Advances, Journal Pre-proof</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100593</p>
<p> Reference:<br />Amour C, Cetatean R, Ponce IR, Keur N, Temba GS, Kullaya VI, Mmbaga BT, Kavishe R, Joosten LAB, Netea MG, de Mast Q, Boahen CK, Kumar V, Sex-stratified genetic regulators of cytokine production in the Dutch and Tanzanian populations, Human Genetics and Genomics Advances (2026), doi: https://doi.org/10.1016/j.xhgg.2026.100593.</p>
<p> License:<br />Not specified in the provided text.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/sex-stratified-cytokine-qtl</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing (1) Tanzanian cohort results (12 cQTLs; 7 male-specific, 5 female-specific), (2) Dutch cohort results (12 cQTLs; 6 male-specific, 6 female-specific), (3) exemplar sex-specific loci TOX (male IFN-γ) and EGFR (female IL-10), (4) CNTNAP2 and ANXA8 findings, (5) colocalization ana<br />- transcript topics: Sex differences in immune regulation and cytokine signaling; Cohort design: Tanzanian (TZ) and Dutch (NL) sex-stratified cQTL mapping; TOX locus and IFN-γ response in males (S. pneumoniae); EGFR locus and IL-10 response in females (C. burnetii); CNTNAP2 locus and IFN-γ response in females (M. tuberculosis).; ANXA8 locus and TNF-α response in females (C. albicans)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Two cohorts: Tanzania TZFG and Netherlands 500FG (Dutch) with sex-stratified cQTL mapping<br />- Tanzanian cohort identified 12 genome-wide significant cQTLs (7 male-specific, 5 female-specific)<br />- Dutch cohort identified 12 genome-wide significant cQTLs (6 male-specific, 6 female-specific)<br />- TOX locus variant rs10092649 associated with IFN-γ production after S. pneumoniae stimulation in males<br />- EGFR-proximal locus rs79030770 associated with IL-10 production after C. burnetii stimulation in females<br />- CNTNAP2 locus variant rs17170577 associated with IFN-γ production after M. tuberculosis stimulation in females</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Amour C et al., Human Genetics and Genomics Advances, Journal Pre-proof - Sex-stratified cQTL mapping in Tanzanian and Dutch adults identifies sex-specific regulators such as TOX-linked IFN-γ in males and EGFR-linked IL-10 in females, revealing multiple genome-wide cQTLs. Key terms: TOX, EGFR, cytokine QTL, sex-stratified GWAS, Tanzania-Netherlands.
 Study Highlights:The study analyzed cytokine production after ex vivo stimulation in two human cohorts (Tanzania 300TZFG and Dutch 500FG) using sex-stratified cytokine QTL mapping with linear models adjusted for cell counts and covariates. Genotyping, imputation, ELISA cytokine assays, colocalization (coloc) and SNP×sex interaction tests were applied to test sex-specific genetic effects. The authors report twelve genome-wide significant cQTLs in the Tanzanian cohort (seven male-specific, five female-specific) and twelve in the Dutch cohort with multiple sex-specific loci, highlighting TOX-associated IFN-γ regulation in males and EGFR-linked IL-10 regulation in females. These sex-specific autosomal effects altered which associations were detectable in pooled analyses, implying implications for sex-aware precision approaches to immune-related diseases.
 Conclusion:Sex-stratified autosomal analyses identify distinct genetic regulators of cytokine production, demonstrating that many cQTLs act in a sex-specific manner across Tanzanian and Dutch cohorts and can be missed by pooled analyses.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Sex-stratified genetic regulators of cytokine production in the Dutch and Tanzanian populations
 First author:Amour C
 Journal:Human Genetics and Genomics Advances, Journal Pre-proof
 DOI:10.1016/j.xhgg.2026.100593
 Reference:Amour C, Cetatean R, Ponce IR, Keur N, Temba GS, Kullaya VI, Mmbaga BT, Kavishe R, Joosten LAB, Netea MG, de Mast Q, Boahen CK, Kumar V, Sex-stratified genetic regulators of cytokine production in the Dutch and Tanzanian populations, Human Genetics and Genomics Advances (2026), doi: https://doi.org/10.1016/j.xhgg.2026.100593.
 License:Not specified in the provided text.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/sex-stratified-cytokine-qtl
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing (1) Tanzanian cohort results (12 cQTLs; 7 male-specific, 5 female-specific), (2) Dutch cohort results (12 cQTLs; 6 male-specific, 6 female-specific), (3) exemplar sex-specific loci TOX (male IFN-γ) and EGFR (female IL-10), (4) CNTNAP2 and ANXA8 findings, (5) colocalization ana- transcript topics: Sex differences in immune regulation and cytokine signaling; Cohort design: Tanzanian (TZ) and Dutch (NL) sex-stratified cQTL mapping; TOX locus and IFN-γ response in males (S. pneumoniae); EGFR locus and IL-10 response in females (C. burnetii); CNTNAP2 locus and IFN-γ response in females (M. tuberculosis).; ANXA8 locus and TNF-α response in females (C. albicans)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:23:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[319: Predicting reduced-penetrance TP53 variants from functional assays and random forest models]]>
                </title>
                <pubDate>Wed, 18 Mar 2026 07:43:37 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2399407</guid>
                                    <link>https://basebybase.castos.com/episodes/tp53-reduced-penetrance-prediction</link>
                                <description>
                                            <![CDATA[<p>Fortuno C et al., Human Genetics and Genomics Advances - TP53 germline variant analysis using functional assays finds reduced-penetrance variants have intermediate activity, higher frequency, later onset, and 106 predicted candidates. Key terms: TP53, reduced penetrance, Li-Fraumeni syndrome, functional assays, variant interpretation.</p>
<p> Study Highlights:<br />Using ClinVar curation and comparison to benign and pathogenic reference sets, the authors analyzed TP53 germline variants with multiple functional assays, bioinformatic predictors, immune-fitness scores, and gnomAD frequencies. Reduced-penetrance variants tended to show intermediate activity across Kato, Giacomelli, Kotler, and Funk assays and intermediate BayesDel/AlphaMissense/aGVGD scores, with higher allele frequencies than pathogenic variants. A random forest model trained on these features prioritized 106 additional ClinVar missense variants as potential reduced-penetrance candidates. Clinically, carriers of reduced-penetrance variants exhibited later average age at first cancer and weaker enrichment for core Li-Fraumeni phenotypes, supporting consideration of attenuated surveillance criteria.</p>
<p> Conclusion:<br />Reported reduced-penetrance TP53 variants display intermediate functional and bioinformatic signatures, higher population frequency, and later cancer onset, and a combined-feature predictive model identifies additional candidate reduced-penetrance variants for follow-up.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53</p>
<p> First author:<br />Fortuno C</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2025.100484</p>
<p> Reference:<br />Fortuno C, Richardson ME, Pesaran T, McGoldrick K, James PA, Spurdle AB. Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53. Human Genetics and Genomics Advances. 2025;6:100484. https://doi.org/10.1016/j.xhgg.2025.100484</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/tp53-reduced-penetrance-prediction</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing TP53 reduced-penetrance variants, four functional assays (Kato, Giacomelli, Kotler, Funk), bioinformatic predictors (BayesDel, AlphaMissense, aGVGD), immune fitness, population allele frequency, a random forest model identifying additional candidates, and associated clinical implications.<br />- transcript topics: TP53 and Li-Fraumeni syndrome background; Functional assays (Kato, Giacomelli, Kotler, Funk); Bioinformatic predictors (BayesDel, AlphaMissense, aGVGD); Immune fitness predictions; Population allele frequency (gnomAD); Random forest model and variant prioritization</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Reduced penet...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Fortuno C et al., Human Genetics and Genomics Advances - TP53 germline variant analysis using functional assays finds reduced-penetrance variants have intermediate activity, higher frequency, later onset, and 106 predicted candidates. Key terms: TP53, reduced penetrance, Li-Fraumeni syndrome, functional assays, variant interpretation.
 Study Highlights:Using ClinVar curation and comparison to benign and pathogenic reference sets, the authors analyzed TP53 germline variants with multiple functional assays, bioinformatic predictors, immune-fitness scores, and gnomAD frequencies. Reduced-penetrance variants tended to show intermediate activity across Kato, Giacomelli, Kotler, and Funk assays and intermediate BayesDel/AlphaMissense/aGVGD scores, with higher allele frequencies than pathogenic variants. A random forest model trained on these features prioritized 106 additional ClinVar missense variants as potential reduced-penetrance candidates. Clinically, carriers of reduced-penetrance variants exhibited later average age at first cancer and weaker enrichment for core Li-Fraumeni phenotypes, supporting consideration of attenuated surveillance criteria.
 Conclusion:Reported reduced-penetrance TP53 variants display intermediate functional and bioinformatic signatures, higher population frequency, and later cancer onset, and a combined-feature predictive model identifies additional candidate reduced-penetrance variants for follow-up.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53
 First author:Fortuno C
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2025.100484
 Reference:Fortuno C, Richardson ME, Pesaran T, McGoldrick K, James PA, Spurdle AB. Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53. Human Genetics and Genomics Advances. 2025;6:100484. https://doi.org/10.1016/j.xhgg.2025.100484
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/tp53-reduced-penetrance-prediction
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing TP53 reduced-penetrance variants, four functional assays (Kato, Giacomelli, Kotler, Funk), bioinformatic predictors (BayesDel, AlphaMissense, aGVGD), immune fitness, population allele frequency, a random forest model identifying additional candidates, and associated clinical implications.- transcript topics: TP53 and Li-Fraumeni syndrome background; Functional assays (Kato, Giacomelli, Kotler, Funk); Bioinformatic predictors (BayesDel, AlphaMissense, aGVGD); Immune fitness predictions; Population allele frequency (gnomAD); Random forest model and variant prioritization
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Reduced penet...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[319: Predicting reduced-penetrance TP53 variants from functional assays and random forest models]]>
                </itunes:title>
                                    <itunes:episode>319</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Fortuno C et al., Human Genetics and Genomics Advances - TP53 germline variant analysis using functional assays finds reduced-penetrance variants have intermediate activity, higher frequency, later onset, and 106 predicted candidates. Key terms: TP53, reduced penetrance, Li-Fraumeni syndrome, functional assays, variant interpretation.</p>
<p> Study Highlights:<br />Using ClinVar curation and comparison to benign and pathogenic reference sets, the authors analyzed TP53 germline variants with multiple functional assays, bioinformatic predictors, immune-fitness scores, and gnomAD frequencies. Reduced-penetrance variants tended to show intermediate activity across Kato, Giacomelli, Kotler, and Funk assays and intermediate BayesDel/AlphaMissense/aGVGD scores, with higher allele frequencies than pathogenic variants. A random forest model trained on these features prioritized 106 additional ClinVar missense variants as potential reduced-penetrance candidates. Clinically, carriers of reduced-penetrance variants exhibited later average age at first cancer and weaker enrichment for core Li-Fraumeni phenotypes, supporting consideration of attenuated surveillance criteria.</p>
<p> Conclusion:<br />Reported reduced-penetrance TP53 variants display intermediate functional and bioinformatic signatures, higher population frequency, and later cancer onset, and a combined-feature predictive model identifies additional candidate reduced-penetrance variants for follow-up.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53</p>
<p> First author:<br />Fortuno C</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2025.100484</p>
<p> Reference:<br />Fortuno C, Richardson ME, Pesaran T, McGoldrick K, James PA, Spurdle AB. Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53. Human Genetics and Genomics Advances. 2025;6:100484. https://doi.org/10.1016/j.xhgg.2025.100484</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/tp53-reduced-penetrance-prediction</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing TP53 reduced-penetrance variants, four functional assays (Kato, Giacomelli, Kotler, Funk), bioinformatic predictors (BayesDel, AlphaMissense, aGVGD), immune fitness, population allele frequency, a random forest model identifying additional candidates, and associated clinical implications.<br />- transcript topics: TP53 and Li-Fraumeni syndrome background; Functional assays (Kato, Giacomelli, Kotler, Funk); Bioinformatic predictors (BayesDel, AlphaMissense, aGVGD); Immune fitness predictions; Population allele frequency (gnomAD); Random forest model and variant prioritization</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Reduced penetrance TP53 variants show intermediate functional activity across four assays (Kato, Giacomelli, Kotler, Funk).<br />- Brazilian founder TP53 variant c.1010G&gt;A (p.R337H) is discussed among the reduced penetrance set.<br />- Benign reference set (62 variants) and pathogenic reference set (113 variants) used for comparison; 11 reduced penetrance variants identified from ClinVar/other sources.<br />- Four functional assays (Kato, Giacomelli, Kotler, Funk) with intermediate results for reduced penetrance variants.<br />- Bioinformatic predictors (BayesDel, AlphaMissense, aGVGD) predict deleterious effects for reduced penetrance variants with lower scores than pathogenic variants.<br />- Immune fitness indicates intermediate visibility of reduced penetrance variants—between benign and pathogenic.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Fortuno C et al., Human Genetics and Genomics Advances - TP53 germline variant analysis using functional assays finds reduced-penetrance variants have intermediate activity, higher frequency, later onset, and 106 predicted candidates. Key terms: TP53, reduced penetrance, Li-Fraumeni syndrome, functional assays, variant interpretation.
 Study Highlights:Using ClinVar curation and comparison to benign and pathogenic reference sets, the authors analyzed TP53 germline variants with multiple functional assays, bioinformatic predictors, immune-fitness scores, and gnomAD frequencies. Reduced-penetrance variants tended to show intermediate activity across Kato, Giacomelli, Kotler, and Funk assays and intermediate BayesDel/AlphaMissense/aGVGD scores, with higher allele frequencies than pathogenic variants. A random forest model trained on these features prioritized 106 additional ClinVar missense variants as potential reduced-penetrance candidates. Clinically, carriers of reduced-penetrance variants exhibited later average age at first cancer and weaker enrichment for core Li-Fraumeni phenotypes, supporting consideration of attenuated surveillance criteria.
 Conclusion:Reported reduced-penetrance TP53 variants display intermediate functional and bioinformatic signatures, higher population frequency, and later cancer onset, and a combined-feature predictive model identifies additional candidate reduced-penetrance variants for follow-up.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53
 First author:Fortuno C
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2025.100484
 Reference:Fortuno C, Richardson ME, Pesaran T, McGoldrick K, James PA, Spurdle AB. Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53. Human Genetics and Genomics Advances. 2025;6:100484. https://doi.org/10.1016/j.xhgg.2025.100484
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/tp53-reduced-penetrance-prediction
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing TP53 reduced-penetrance variants, four functional assays (Kato, Giacomelli, Kotler, Funk), bioinformatic predictors (BayesDel, AlphaMissense, aGVGD), immune fitness, population allele frequency, a random forest model identifying additional candidates, and associated clinical implications.- transcript topics: TP53 and Li-Fraumeni syndrome background; Functional assays (Kato, Giacomelli, Kotler, Funk); Bioinformatic predictors (BayesDel, AlphaMissense, aGVGD); Immune fitness predictions; Population allele frequency (gnomAD); Random forest model and variant prioritization
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Reduced penet...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2399407/c1a-p6xp7-4741552wun03-3nsakw.png"></itunes:image>
                                                                            <itunes:duration>00:23:35</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[318: RNU6ATAC variants cause U6atac-driven minor spliceopathy with transcriptome-wide minor intron retention]]>
                </title>
                <pubDate>Wed, 18 Mar 2026 07:31:55 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2399399</guid>
                                    <link>https://basebybase.castos.com/episodes/rnu6atac-minor-spliceopathy</link>
                                <description>
                                            <![CDATA[<p>Mendez R et al., Human Genetics and Genomics Advances, Journal Pre-proof - Biallelic RNU6ATAC variants disrupt the U6atac minor spliceosomal snRNA, causing transcriptome-wide minor intron retention and short stature with variable multisystem manifestations. Key terms: RNU6ATAC, U6atac, minor spliceosome, minor intron retention, whole-genome sequencing.</p>
<p> Study Highlights:<br />This study analyzed three unrelated human individuals using RNA-seq on whole-blood and fibroblasts and applied a FRASER-based minor intron retention (MIR) outlier pipeline alongside whole-genome sequencing. The integrated approach identified biallelic RNU6ATAC variants that map to U4atac–U6atac Stem I/II and the central stem-loop of U6atac. Affected individuals show transcriptome-wide excess MIR (for example A1 exhibited 254 MIR outliers in whole blood and B1 exhibited 16 MIR outliers in fibroblasts), indicating impaired minor spliceosome function. The molecular defect correlates with impaired growth and variable multisystem phenotypes including immunodeficiency and neurodevelopmental involvement.</p>
<p> Conclusion:<br />Biallelic RNU6ATAC variants cause a multisystem minor spliceopathy defined by transcriptome-wide minor intron retention and variable short stature, immunologic, and neurodevelopmental manifestations.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Biallelic Variants in RNU6ATAC Result in a Minor Spliceopathy Characterized by Transcriptome-Wide Minor Intron Retention Events and Short Stature with Variable Multisystem Manifestations</p>
<p> First author:<br />Mendez R</p>
<p> Journal:<br />Human Genetics and Genomics Advances, Journal Pre-proof</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100588</p>
<p> Reference:<br />Mendez R, Arriaga TM, Ma J, Bonner DE, Emami S, Levy RJ, Alsagheir A, Alhaddad B, Bakur K, Ungar RA, Matalon DR, Miller AM, Nguyen J, Smith KS, Scott SA, Liao L, Ng Z, Marwaha S, Ward A, Undiagnosed Diseases Network, Genomics Research to Elucidate the Genetics of Rare Diseases Consortium, Novacic D, Alkuraya FS, Bernstein JA, Ganesh VS, O’Donnell-Luria A, Montgomery SB, Wheeler MT, Biallelic Variants in RNU6ATAC Result in a Minor Spliceopathy Characterized by Transcriptome-Wide Minor Intron Retention Events and Short Stature with Variable Multisystem Manifestations, Human Genetics and Genomics Advances (2026), doi: https://doi.org/10.1016/j.xhgg.2026.100588</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/rnu6atac-minor-spliceopathy</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing MIR as a transcriptome-wide effect, structural disruption of U4atac–U6atac, FRASER MIR filtering, need for WGS over WES, CADD/conservation evidence, tissue-specific effects, and the bridging C1 phenotype.<br />- transcript topics: Minor intron retention (MIR) and transcriptome-wide MIR pattern; RNU6ATAC structural disruption (Stem I/II and central stem-loop); FRASER MIR outlier analysis and tissue specificity; Whole-genome sequencing vs whole-exome sequencing; CADD scores and evolutionary conservation; Clinical bridging phenotype (A1, B1, C1) and spectrum of RNU6ATAC-opathy</p>
<p>QC Summary:<br />-...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Mendez R et al., Human Genetics and Genomics Advances, Journal Pre-proof - Biallelic RNU6ATAC variants disrupt the U6atac minor spliceosomal snRNA, causing transcriptome-wide minor intron retention and short stature with variable multisystem manifestations. Key terms: RNU6ATAC, U6atac, minor spliceosome, minor intron retention, whole-genome sequencing.
 Study Highlights:This study analyzed three unrelated human individuals using RNA-seq on whole-blood and fibroblasts and applied a FRASER-based minor intron retention (MIR) outlier pipeline alongside whole-genome sequencing. The integrated approach identified biallelic RNU6ATAC variants that map to U4atac–U6atac Stem I/II and the central stem-loop of U6atac. Affected individuals show transcriptome-wide excess MIR (for example A1 exhibited 254 MIR outliers in whole blood and B1 exhibited 16 MIR outliers in fibroblasts), indicating impaired minor spliceosome function. The molecular defect correlates with impaired growth and variable multisystem phenotypes including immunodeficiency and neurodevelopmental involvement.
 Conclusion:Biallelic RNU6ATAC variants cause a multisystem minor spliceopathy defined by transcriptome-wide minor intron retention and variable short stature, immunologic, and neurodevelopmental manifestations.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Biallelic Variants in RNU6ATAC Result in a Minor Spliceopathy Characterized by Transcriptome-Wide Minor Intron Retention Events and Short Stature with Variable Multisystem Manifestations
 First author:Mendez R
 Journal:Human Genetics and Genomics Advances, Journal Pre-proof
 DOI:10.1016/j.xhgg.2026.100588
 Reference:Mendez R, Arriaga TM, Ma J, Bonner DE, Emami S, Levy RJ, Alsagheir A, Alhaddad B, Bakur K, Ungar RA, Matalon DR, Miller AM, Nguyen J, Smith KS, Scott SA, Liao L, Ng Z, Marwaha S, Ward A, Undiagnosed Diseases Network, Genomics Research to Elucidate the Genetics of Rare Diseases Consortium, Novacic D, Alkuraya FS, Bernstein JA, Ganesh VS, O’Donnell-Luria A, Montgomery SB, Wheeler MT, Biallelic Variants in RNU6ATAC Result in a Minor Spliceopathy Characterized by Transcriptome-Wide Minor Intron Retention Events and Short Stature with Variable Multisystem Manifestations, Human Genetics and Genomics Advances (2026), doi: https://doi.org/10.1016/j.xhgg.2026.100588
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/rnu6atac-minor-spliceopathy
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing MIR as a transcriptome-wide effect, structural disruption of U4atac–U6atac, FRASER MIR filtering, need for WGS over WES, CADD/conservation evidence, tissue-specific effects, and the bridging C1 phenotype.- transcript topics: Minor intron retention (MIR) and transcriptome-wide MIR pattern; RNU6ATAC structural disruption (Stem I/II and central stem-loop); FRASER MIR outlier analysis and tissue specificity; Whole-genome sequencing vs whole-exome sequencing; CADD scores and evolutionary conservation; Clinical bridging phenotype (A1, B1, C1) and spectrum of RNU6ATAC-opathy
QC Summary:-...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[318: RNU6ATAC variants cause U6atac-driven minor spliceopathy with transcriptome-wide minor intron retention]]>
                </itunes:title>
                                    <itunes:episode>318</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Mendez R et al., Human Genetics and Genomics Advances, Journal Pre-proof - Biallelic RNU6ATAC variants disrupt the U6atac minor spliceosomal snRNA, causing transcriptome-wide minor intron retention and short stature with variable multisystem manifestations. Key terms: RNU6ATAC, U6atac, minor spliceosome, minor intron retention, whole-genome sequencing.</p>
<p> Study Highlights:<br />This study analyzed three unrelated human individuals using RNA-seq on whole-blood and fibroblasts and applied a FRASER-based minor intron retention (MIR) outlier pipeline alongside whole-genome sequencing. The integrated approach identified biallelic RNU6ATAC variants that map to U4atac–U6atac Stem I/II and the central stem-loop of U6atac. Affected individuals show transcriptome-wide excess MIR (for example A1 exhibited 254 MIR outliers in whole blood and B1 exhibited 16 MIR outliers in fibroblasts), indicating impaired minor spliceosome function. The molecular defect correlates with impaired growth and variable multisystem phenotypes including immunodeficiency and neurodevelopmental involvement.</p>
<p> Conclusion:<br />Biallelic RNU6ATAC variants cause a multisystem minor spliceopathy defined by transcriptome-wide minor intron retention and variable short stature, immunologic, and neurodevelopmental manifestations.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Biallelic Variants in RNU6ATAC Result in a Minor Spliceopathy Characterized by Transcriptome-Wide Minor Intron Retention Events and Short Stature with Variable Multisystem Manifestations</p>
<p> First author:<br />Mendez R</p>
<p> Journal:<br />Human Genetics and Genomics Advances, Journal Pre-proof</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100588</p>
<p> Reference:<br />Mendez R, Arriaga TM, Ma J, Bonner DE, Emami S, Levy RJ, Alsagheir A, Alhaddad B, Bakur K, Ungar RA, Matalon DR, Miller AM, Nguyen J, Smith KS, Scott SA, Liao L, Ng Z, Marwaha S, Ward A, Undiagnosed Diseases Network, Genomics Research to Elucidate the Genetics of Rare Diseases Consortium, Novacic D, Alkuraya FS, Bernstein JA, Ganesh VS, O’Donnell-Luria A, Montgomery SB, Wheeler MT, Biallelic Variants in RNU6ATAC Result in a Minor Spliceopathy Characterized by Transcriptome-Wide Minor Intron Retention Events and Short Stature with Variable Multisystem Manifestations, Human Genetics and Genomics Advances (2026), doi: https://doi.org/10.1016/j.xhgg.2026.100588</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/rnu6atac-minor-spliceopathy</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing MIR as a transcriptome-wide effect, structural disruption of U4atac–U6atac, FRASER MIR filtering, need for WGS over WES, CADD/conservation evidence, tissue-specific effects, and the bridging C1 phenotype.<br />- transcript topics: Minor intron retention (MIR) and transcriptome-wide MIR pattern; RNU6ATAC structural disruption (Stem I/II and central stem-loop); FRASER MIR outlier analysis and tissue specificity; Whole-genome sequencing vs whole-exome sequencing; CADD scores and evolutionary conservation; Clinical bridging phenotype (A1, B1, C1) and spectrum of RNU6ATAC-opathy</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Three unrelated individuals with biallelic RNU6ATAC variants<br />- A1: 254 MIR outliers in whole blood; B1: 16 MIR outliers in fibroblasts<br />- Variants localize to U4atac–U6atac Stem I/II and central stem-loop regions<br />- WGS was necessary because RNU6ATAC is not targeted by standard WES kits<br />- RNU6ATAC variants yield CADD scores between 18 and 21<br />- Conservation across vertebrates, including zebrafish</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Mendez R et al., Human Genetics and Genomics Advances, Journal Pre-proof - Biallelic RNU6ATAC variants disrupt the U6atac minor spliceosomal snRNA, causing transcriptome-wide minor intron retention and short stature with variable multisystem manifestations. Key terms: RNU6ATAC, U6atac, minor spliceosome, minor intron retention, whole-genome sequencing.
 Study Highlights:This study analyzed three unrelated human individuals using RNA-seq on whole-blood and fibroblasts and applied a FRASER-based minor intron retention (MIR) outlier pipeline alongside whole-genome sequencing. The integrated approach identified biallelic RNU6ATAC variants that map to U4atac–U6atac Stem I/II and the central stem-loop of U6atac. Affected individuals show transcriptome-wide excess MIR (for example A1 exhibited 254 MIR outliers in whole blood and B1 exhibited 16 MIR outliers in fibroblasts), indicating impaired minor spliceosome function. The molecular defect correlates with impaired growth and variable multisystem phenotypes including immunodeficiency and neurodevelopmental involvement.
 Conclusion:Biallelic RNU6ATAC variants cause a multisystem minor spliceopathy defined by transcriptome-wide minor intron retention and variable short stature, immunologic, and neurodevelopmental manifestations.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Biallelic Variants in RNU6ATAC Result in a Minor Spliceopathy Characterized by Transcriptome-Wide Minor Intron Retention Events and Short Stature with Variable Multisystem Manifestations
 First author:Mendez R
 Journal:Human Genetics and Genomics Advances, Journal Pre-proof
 DOI:10.1016/j.xhgg.2026.100588
 Reference:Mendez R, Arriaga TM, Ma J, Bonner DE, Emami S, Levy RJ, Alsagheir A, Alhaddad B, Bakur K, Ungar RA, Matalon DR, Miller AM, Nguyen J, Smith KS, Scott SA, Liao L, Ng Z, Marwaha S, Ward A, Undiagnosed Diseases Network, Genomics Research to Elucidate the Genetics of Rare Diseases Consortium, Novacic D, Alkuraya FS, Bernstein JA, Ganesh VS, O’Donnell-Luria A, Montgomery SB, Wheeler MT, Biallelic Variants in RNU6ATAC Result in a Minor Spliceopathy Characterized by Transcriptome-Wide Minor Intron Retention Events and Short Stature with Variable Multisystem Manifestations, Human Genetics and Genomics Advances (2026), doi: https://doi.org/10.1016/j.xhgg.2026.100588
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/rnu6atac-minor-spliceopathy
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing MIR as a transcriptome-wide effect, structural disruption of U4atac–U6atac, FRASER MIR filtering, need for WGS over WES, CADD/conservation evidence, tissue-specific effects, and the bridging C1 phenotype.- transcript topics: Minor intron retention (MIR) and transcriptome-wide MIR pattern; RNU6ATAC structural disruption (Stem I/II and central stem-loop); FRASER MIR outlier analysis and tissue specificity; Whole-genome sequencing vs whole-exome sequencing; CADD scores and evolutionary conservation; Clinical bridging phenotype (A1, B1, C1) and spectrum of RNU6ATAC-opathy
QC Summary:-...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2399399/c1a-p6xp7-jpxj559xf7rg-7twigy.png"></itunes:image>
                                                                            <itunes:duration>00:21:30</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[317: COPD sQTL colocalization in lung and blood identifies FBXO38 and BTC splicing mechanisms]]>
                </title>
                <pubDate>Mon, 16 Mar 2026 06:53:51 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2397270</guid>
                                    <link>https://basebybase.castos.com/episodes/copd-sqtl-fbxo38-btc</link>
                                <description>
                                            <![CDATA[<p>Saferali A et al., Human Genetics and Genomics Advances - Overlap between COPD genetic association results and transcriptional quantitative trait loci. RNA-seq in human lung (LTRC) and blood (COPDGene) reveals COPD-associated variants colocalize with splicing QTLs, implicating FBXO38 cryptic exon NMD and BTC exon4 isoform shifts. Key terms: COPD, sQTL, FBXO38, Betacellulin (BTC), long-read RNA-seq.</p>
<p> Study Highlights:<br />The study analyzed RNA-seq from COPDGene whole blood (n≈3,743) and LTRC lung tissue (n=1,241) using LeafCutter for splicing and tensorQTL for cis associations, followed by Moloc colocalization and targeted Oxford Nanopore long-read sequencing. Authors identified 58,258 lung splice sites and widespread eQTLs/sQTLs, and found 38 genomic windows (corresponding to 33 GWAS loci) with strong colocalization between QTLs and COPD GWAS signals. Top colocalizations in lung sQTLs included NPNT, FBXO38, HHIP, NTN4, and BTC, and long-read data resolved isoform changes for FBXO38 and BTC. Functionally, FBXO38 cryptic exon inclusion is associated with predicted nonsense-mediated decay and decreased expression, and BTC exon 4 inclusion alters isoform ratios that affect the EGF-like domain.</p>
<p> Conclusion:<br />Multiple COPD GWAS associations colocalize with sQTLs and eQTLs in lung and blood, identifying candidate genes such as FBXO38 and BTC and implicating splicing-mediated mechanisms in COPD risk.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Overlap between COPD genetic association results and transcriptional quantitative trait loci</p>
<p> First author:<br />Saferali A</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2025.100493</p>
<p> Reference:<br />Saferali A., Kim W., Chase R.P., NHLBI TransOmics in Precision Medicine (TOPMed), Vollmers C., Silverman E.K., Cho M.H., Castaldi P.J., Hersh C.P. Overlap between COPD genetic association results and transcriptional quantitative trait loci. Human Genetics and Genomics Advances. 2026 Jan 15;7:100493. https://doi.org/10.1016/j.xhgg.2025.100493.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/copd-sqtl-fbxo38-btc</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive transcript content describing COPD genetic architecture, sQTL/eQTL mapping in lung tissue (LTRC) and whole blood (COPDGene), the LeafCutter/TensorQTL/Moloc pipeline, FBXO38 cryptic exon and NMD, BTC exon 4 splicing, long-read validation, and translational implications.<br />- transcript topics: COPD genetic architecture and regulatory mechanisms; sQTL/eQTL mapping in lung tissue (LTRC) and whole blood (COPDGene); LeafCutter splicing analysis; TensorQTL cis associations; Moloc colocalization; FBXO38 cryptic exon and nonsense-mediated decay</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 38 colocalization windows across 33 COPD GWAS loci w...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Saferali A et al., Human Genetics and Genomics Advances - Overlap between COPD genetic association results and transcriptional quantitative trait loci. RNA-seq in human lung (LTRC) and blood (COPDGene) reveals COPD-associated variants colocalize with splicing QTLs, implicating FBXO38 cryptic exon NMD and BTC exon4 isoform shifts. Key terms: COPD, sQTL, FBXO38, Betacellulin (BTC), long-read RNA-seq.
 Study Highlights:The study analyzed RNA-seq from COPDGene whole blood (n≈3,743) and LTRC lung tissue (n=1,241) using LeafCutter for splicing and tensorQTL for cis associations, followed by Moloc colocalization and targeted Oxford Nanopore long-read sequencing. Authors identified 58,258 lung splice sites and widespread eQTLs/sQTLs, and found 38 genomic windows (corresponding to 33 GWAS loci) with strong colocalization between QTLs and COPD GWAS signals. Top colocalizations in lung sQTLs included NPNT, FBXO38, HHIP, NTN4, and BTC, and long-read data resolved isoform changes for FBXO38 and BTC. Functionally, FBXO38 cryptic exon inclusion is associated with predicted nonsense-mediated decay and decreased expression, and BTC exon 4 inclusion alters isoform ratios that affect the EGF-like domain.
 Conclusion:Multiple COPD GWAS associations colocalize with sQTLs and eQTLs in lung and blood, identifying candidate genes such as FBXO38 and BTC and implicating splicing-mediated mechanisms in COPD risk.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Overlap between COPD genetic association results and transcriptional quantitative trait loci
 First author:Saferali A
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2025.100493
 Reference:Saferali A., Kim W., Chase R.P., NHLBI TransOmics in Precision Medicine (TOPMed), Vollmers C., Silverman E.K., Cho M.H., Castaldi P.J., Hersh C.P. Overlap between COPD genetic association results and transcriptional quantitative trait loci. Human Genetics and Genomics Advances. 2026 Jan 15;7:100493. https://doi.org/10.1016/j.xhgg.2025.100493.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/copd-sqtl-fbxo38-btc
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive transcript content describing COPD genetic architecture, sQTL/eQTL mapping in lung tissue (LTRC) and whole blood (COPDGene), the LeafCutter/TensorQTL/Moloc pipeline, FBXO38 cryptic exon and NMD, BTC exon 4 splicing, long-read validation, and translational implications.- transcript topics: COPD genetic architecture and regulatory mechanisms; sQTL/eQTL mapping in lung tissue (LTRC) and whole blood (COPDGene); LeafCutter splicing analysis; TensorQTL cis associations; Moloc colocalization; FBXO38 cryptic exon and nonsense-mediated decay
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 38 colocalization windows across 33 COPD GWAS loci w...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[317: COPD sQTL colocalization in lung and blood identifies FBXO38 and BTC splicing mechanisms]]>
                </itunes:title>
                                    <itunes:episode>317</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Saferali A et al., Human Genetics and Genomics Advances - Overlap between COPD genetic association results and transcriptional quantitative trait loci. RNA-seq in human lung (LTRC) and blood (COPDGene) reveals COPD-associated variants colocalize with splicing QTLs, implicating FBXO38 cryptic exon NMD and BTC exon4 isoform shifts. Key terms: COPD, sQTL, FBXO38, Betacellulin (BTC), long-read RNA-seq.</p>
<p> Study Highlights:<br />The study analyzed RNA-seq from COPDGene whole blood (n≈3,743) and LTRC lung tissue (n=1,241) using LeafCutter for splicing and tensorQTL for cis associations, followed by Moloc colocalization and targeted Oxford Nanopore long-read sequencing. Authors identified 58,258 lung splice sites and widespread eQTLs/sQTLs, and found 38 genomic windows (corresponding to 33 GWAS loci) with strong colocalization between QTLs and COPD GWAS signals. Top colocalizations in lung sQTLs included NPNT, FBXO38, HHIP, NTN4, and BTC, and long-read data resolved isoform changes for FBXO38 and BTC. Functionally, FBXO38 cryptic exon inclusion is associated with predicted nonsense-mediated decay and decreased expression, and BTC exon 4 inclusion alters isoform ratios that affect the EGF-like domain.</p>
<p> Conclusion:<br />Multiple COPD GWAS associations colocalize with sQTLs and eQTLs in lung and blood, identifying candidate genes such as FBXO38 and BTC and implicating splicing-mediated mechanisms in COPD risk.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Overlap between COPD genetic association results and transcriptional quantitative trait loci</p>
<p> First author:<br />Saferali A</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2025.100493</p>
<p> Reference:<br />Saferali A., Kim W., Chase R.P., NHLBI TransOmics in Precision Medicine (TOPMed), Vollmers C., Silverman E.K., Cho M.H., Castaldi P.J., Hersh C.P. Overlap between COPD genetic association results and transcriptional quantitative trait loci. Human Genetics and Genomics Advances. 2026 Jan 15;7:100493. https://doi.org/10.1016/j.xhgg.2025.100493.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/copd-sqtl-fbxo38-btc</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive transcript content describing COPD genetic architecture, sQTL/eQTL mapping in lung tissue (LTRC) and whole blood (COPDGene), the LeafCutter/TensorQTL/Moloc pipeline, FBXO38 cryptic exon and NMD, BTC exon 4 splicing, long-read validation, and translational implications.<br />- transcript topics: COPD genetic architecture and regulatory mechanisms; sQTL/eQTL mapping in lung tissue (LTRC) and whole blood (COPDGene); LeafCutter splicing analysis; TensorQTL cis associations; Moloc colocalization; FBXO38 cryptic exon and nonsense-mediated decay</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 38 colocalization windows across 33 COPD GWAS loci with high posterior probability of shared causality (CPP&gt;0.8)<br />- 58,258 lung splice sites identified in LTRC; 10,615 genes associated<br />- FBXO38: COPD-risk rs7730971 associated with a 158 bp cryptic exon; introduces premature stop codon and likely subjected to nonsense-mediated decay; reduced FBXO38 expression<br />- BTC: COPD-risk allele promotes increased inclusion of exon 4; shifts BTC isoform ratios and affects EGF-like domain<br />- Oxford Nanopore long-read sequencing validated FBXO38 and BTC isoforms<br />- Bulk RNA-seq in blood (COPDGene) and lung (LTRC) acknowledged as a limitation; single-cell follow-up suggested</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Saferali A et al., Human Genetics and Genomics Advances - Overlap between COPD genetic association results and transcriptional quantitative trait loci. RNA-seq in human lung (LTRC) and blood (COPDGene) reveals COPD-associated variants colocalize with splicing QTLs, implicating FBXO38 cryptic exon NMD and BTC exon4 isoform shifts. Key terms: COPD, sQTL, FBXO38, Betacellulin (BTC), long-read RNA-seq.
 Study Highlights:The study analyzed RNA-seq from COPDGene whole blood (n≈3,743) and LTRC lung tissue (n=1,241) using LeafCutter for splicing and tensorQTL for cis associations, followed by Moloc colocalization and targeted Oxford Nanopore long-read sequencing. Authors identified 58,258 lung splice sites and widespread eQTLs/sQTLs, and found 38 genomic windows (corresponding to 33 GWAS loci) with strong colocalization between QTLs and COPD GWAS signals. Top colocalizations in lung sQTLs included NPNT, FBXO38, HHIP, NTN4, and BTC, and long-read data resolved isoform changes for FBXO38 and BTC. Functionally, FBXO38 cryptic exon inclusion is associated with predicted nonsense-mediated decay and decreased expression, and BTC exon 4 inclusion alters isoform ratios that affect the EGF-like domain.
 Conclusion:Multiple COPD GWAS associations colocalize with sQTLs and eQTLs in lung and blood, identifying candidate genes such as FBXO38 and BTC and implicating splicing-mediated mechanisms in COPD risk.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Overlap between COPD genetic association results and transcriptional quantitative trait loci
 First author:Saferali A
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2025.100493
 Reference:Saferali A., Kim W., Chase R.P., NHLBI TransOmics in Precision Medicine (TOPMed), Vollmers C., Silverman E.K., Cho M.H., Castaldi P.J., Hersh C.P. Overlap between COPD genetic association results and transcriptional quantitative trait loci. Human Genetics and Genomics Advances. 2026 Jan 15;7:100493. https://doi.org/10.1016/j.xhgg.2025.100493.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/copd-sqtl-fbxo38-btc
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive transcript content describing COPD genetic architecture, sQTL/eQTL mapping in lung tissue (LTRC) and whole blood (COPDGene), the LeafCutter/TensorQTL/Moloc pipeline, FBXO38 cryptic exon and NMD, BTC exon 4 splicing, long-read validation, and translational implications.- transcript topics: COPD genetic architecture and regulatory mechanisms; sQTL/eQTL mapping in lung tissue (LTRC) and whole blood (COPDGene); LeafCutter splicing analysis; TensorQTL cis associations; Moloc colocalization; FBXO38 cryptic exon and nonsense-mediated decay
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 38 colocalization windows across 33 COPD GWAS loci w...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:21:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[316: Inclusion bias in UCLA ATLAS: enrollment models, weighting, and effects on GWAS and PGS]]>
                </title>
                <pubDate>Sat, 14 Mar 2026 05:40:10 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2394948</guid>
                                    <link>https://basebybase.castos.com/episodes/inclusion-bias-ucla-atlas</link>
                                <description>
                                            <![CDATA[<p>Pimplaskar A et al., The American Journal of Human Genetics - In UCLA ATLAS EHR-linked biobank analyses, random forest-derived enrollment probabilities and inverse-probability weighting increased replication of known GWAS variants and altered PGS associations. Key terms: inclusion bias, UCLA ATLAS, inverse-probability weighting, random forest, polygenic scores.</p>
<p> Study Highlights:<br />Using the UCLA ATLAS EHR-linked biobank, the authors trained random forest classifiers on demographics, healthcare utilization, and ICD-10 features to distinguish enrolled from background patients. They converted predicted enrollment probabilities into inverse-probability weights and applied these to GWAS replication tests and PGS-PheWAS scans. The classifier achieved AUROC≈0.85 and weighting increased replication of known GWAS variants by 54% while changing phenome-wide PGS association patterns. These results indicate that enrollment-driven inclusion bias can materially affect variant discovery and downstream PGS-based phenotypic associations in health-system biobanks.</p>
<p> Conclusion:<br />Inclusion bias in EHR-linked biobanks like UCLA ATLAS measurably affects common-variant discovery and PGS associations, and enrollment-aware inverse-probability weighting can improve replication while reducing effective sample size.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Inclusion bias affects common variant discovery and replication in a health-system linked biobank</p>
<p> First author:<br />Pimplaskar A</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.011</p>
<p> Reference:<br />Pimplaskar A, Qiu J, Lapinska S, Tozzo V, Chiang JN, Pasaniuc B, Olde Loohuis LM. Inclusion bias affects common variant discovery and replication in a health-system linked biobank. The American Journal of Human Genetics. 2026;113:1–13. https://doi.org/10.1016/j.ajhg.2026.02.011</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/inclusion-bias-ucla-atlas</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing enrollment-bias methodology (random forest classifier, inverse-probability weighting), key numeric results (AUROC/AUPRC, enrollment counts, ORs), GWAS replication improvements, and PGS-PheWAS outcomes, plus implications and limitations.<br />- transcript topics: Enrollment bias in UCLA ATLAS biobank; Random forest classifier for enrollment prediction; Inverse-probability weighting and normalization; Effective sample size and trade-offs; GWAS variant replication under weighting; Variant-level associations and ancestry effects</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Enrollment in ATLAS: background population ~1.57–1.57 million; enrolled ~104,516<br />- Primary care at UCLA strongly predicts enrollment: ~70.2% enrolled vs ~21.8% unenrolled; OR ≈ 8.44<br />- Enrol...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Pimplaskar A et al., The American Journal of Human Genetics - In UCLA ATLAS EHR-linked biobank analyses, random forest-derived enrollment probabilities and inverse-probability weighting increased replication of known GWAS variants and altered PGS associations. Key terms: inclusion bias, UCLA ATLAS, inverse-probability weighting, random forest, polygenic scores.
 Study Highlights:Using the UCLA ATLAS EHR-linked biobank, the authors trained random forest classifiers on demographics, healthcare utilization, and ICD-10 features to distinguish enrolled from background patients. They converted predicted enrollment probabilities into inverse-probability weights and applied these to GWAS replication tests and PGS-PheWAS scans. The classifier achieved AUROC≈0.85 and weighting increased replication of known GWAS variants by 54% while changing phenome-wide PGS association patterns. These results indicate that enrollment-driven inclusion bias can materially affect variant discovery and downstream PGS-based phenotypic associations in health-system biobanks.
 Conclusion:Inclusion bias in EHR-linked biobanks like UCLA ATLAS measurably affects common-variant discovery and PGS associations, and enrollment-aware inverse-probability weighting can improve replication while reducing effective sample size.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Inclusion bias affects common variant discovery and replication in a health-system linked biobank
 First author:Pimplaskar A
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.011
 Reference:Pimplaskar A, Qiu J, Lapinska S, Tozzo V, Chiang JN, Pasaniuc B, Olde Loohuis LM. Inclusion bias affects common variant discovery and replication in a health-system linked biobank. The American Journal of Human Genetics. 2026;113:1–13. https://doi.org/10.1016/j.ajhg.2026.02.011
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/inclusion-bias-ucla-atlas
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing enrollment-bias methodology (random forest classifier, inverse-probability weighting), key numeric results (AUROC/AUPRC, enrollment counts, ORs), GWAS replication improvements, and PGS-PheWAS outcomes, plus implications and limitations.- transcript topics: Enrollment bias in UCLA ATLAS biobank; Random forest classifier for enrollment prediction; Inverse-probability weighting and normalization; Effective sample size and trade-offs; GWAS variant replication under weighting; Variant-level associations and ancestry effects
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Enrollment in ATLAS: background population ~1.57–1.57 million; enrolled ~104,516- Primary care at UCLA strongly predicts enrollment: ~70.2% enrolled vs ~21.8% unenrolled; OR ≈ 8.44- Enrol...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[316: Inclusion bias in UCLA ATLAS: enrollment models, weighting, and effects on GWAS and PGS]]>
                </itunes:title>
                                    <itunes:episode>316</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Pimplaskar A et al., The American Journal of Human Genetics - In UCLA ATLAS EHR-linked biobank analyses, random forest-derived enrollment probabilities and inverse-probability weighting increased replication of known GWAS variants and altered PGS associations. Key terms: inclusion bias, UCLA ATLAS, inverse-probability weighting, random forest, polygenic scores.</p>
<p> Study Highlights:<br />Using the UCLA ATLAS EHR-linked biobank, the authors trained random forest classifiers on demographics, healthcare utilization, and ICD-10 features to distinguish enrolled from background patients. They converted predicted enrollment probabilities into inverse-probability weights and applied these to GWAS replication tests and PGS-PheWAS scans. The classifier achieved AUROC≈0.85 and weighting increased replication of known GWAS variants by 54% while changing phenome-wide PGS association patterns. These results indicate that enrollment-driven inclusion bias can materially affect variant discovery and downstream PGS-based phenotypic associations in health-system biobanks.</p>
<p> Conclusion:<br />Inclusion bias in EHR-linked biobanks like UCLA ATLAS measurably affects common-variant discovery and PGS associations, and enrollment-aware inverse-probability weighting can improve replication while reducing effective sample size.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Inclusion bias affects common variant discovery and replication in a health-system linked biobank</p>
<p> First author:<br />Pimplaskar A</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.011</p>
<p> Reference:<br />Pimplaskar A, Qiu J, Lapinska S, Tozzo V, Chiang JN, Pasaniuc B, Olde Loohuis LM. Inclusion bias affects common variant discovery and replication in a health-system linked biobank. The American Journal of Human Genetics. 2026;113:1–13. https://doi.org/10.1016/j.ajhg.2026.02.011</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/inclusion-bias-ucla-atlas</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing enrollment-bias methodology (random forest classifier, inverse-probability weighting), key numeric results (AUROC/AUPRC, enrollment counts, ORs), GWAS replication improvements, and PGS-PheWAS outcomes, plus implications and limitations.<br />- transcript topics: Enrollment bias in UCLA ATLAS biobank; Random forest classifier for enrollment prediction; Inverse-probability weighting and normalization; Effective sample size and trade-offs; GWAS variant replication under weighting; Variant-level associations and ancestry effects</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Enrollment in ATLAS: background population ~1.57–1.57 million; enrolled ~104,516<br />- Primary care at UCLA strongly predicts enrollment: ~70.2% enrolled vs ~21.8% unenrolled; OR ≈ 8.44<br />- Enrolled individuals have higher healthcare utilization: ~12.8 visits/year vs ~6.7<br />- RF model discriminates enrollment with AUROC ≈ 0.85 and AUPRC ≈ 0.82<br />- Inverse-probability weighting reduces effective sample size to ≈11,319.9 (4.3× reduction; from ≈48k)<br />- Weighting increases replication of known GWAS variants by ≈54%</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Pimplaskar A et al., The American Journal of Human Genetics - In UCLA ATLAS EHR-linked biobank analyses, random forest-derived enrollment probabilities and inverse-probability weighting increased replication of known GWAS variants and altered PGS associations. Key terms: inclusion bias, UCLA ATLAS, inverse-probability weighting, random forest, polygenic scores.
 Study Highlights:Using the UCLA ATLAS EHR-linked biobank, the authors trained random forest classifiers on demographics, healthcare utilization, and ICD-10 features to distinguish enrolled from background patients. They converted predicted enrollment probabilities into inverse-probability weights and applied these to GWAS replication tests and PGS-PheWAS scans. The classifier achieved AUROC≈0.85 and weighting increased replication of known GWAS variants by 54% while changing phenome-wide PGS association patterns. These results indicate that enrollment-driven inclusion bias can materially affect variant discovery and downstream PGS-based phenotypic associations in health-system biobanks.
 Conclusion:Inclusion bias in EHR-linked biobanks like UCLA ATLAS measurably affects common-variant discovery and PGS associations, and enrollment-aware inverse-probability weighting can improve replication while reducing effective sample size.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Inclusion bias affects common variant discovery and replication in a health-system linked biobank
 First author:Pimplaskar A
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.011
 Reference:Pimplaskar A, Qiu J, Lapinska S, Tozzo V, Chiang JN, Pasaniuc B, Olde Loohuis LM. Inclusion bias affects common variant discovery and replication in a health-system linked biobank. The American Journal of Human Genetics. 2026;113:1–13. https://doi.org/10.1016/j.ajhg.2026.02.011
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/inclusion-bias-ucla-atlas
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing enrollment-bias methodology (random forest classifier, inverse-probability weighting), key numeric results (AUROC/AUPRC, enrollment counts, ORs), GWAS replication improvements, and PGS-PheWAS outcomes, plus implications and limitations.- transcript topics: Enrollment bias in UCLA ATLAS biobank; Random forest classifier for enrollment prediction; Inverse-probability weighting and normalization; Effective sample size and trade-offs; GWAS variant replication under weighting; Variant-level associations and ancestry effects
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Enrollment in ATLAS: background population ~1.57–1.57 million; enrolled ~104,516- Primary care at UCLA strongly predicts enrollment: ~70.2% enrolled vs ~21.8% unenrolled; OR ≈ 8.44- Enrol...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2394948/c1a-p6xp7-xxk822qnsmw2-pgwiar.png"></itunes:image>
                                                                            <itunes:duration>00:23:18</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[315: PLE11-encoded Rta restricts ICP1 tail assembly in Vibrio cholerae outbreaks]]>
                </title>
                <pubDate>Thu, 12 Mar 2026 06:09:05 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2391810</guid>
                                    <link>https://basebybase.castos.com/episodes/ple11-rta-icp1-tail-assembly</link>
                                <description>
                                            <![CDATA[<p>Mathur Y et al., Nature - Clinical surveillance in Bangladesh shows Vibrio cholerae acquired PLE11 encoding Rta that restricts ICP1 tail assembly, driving a selective sweep of phage-resistant strains. Key terms: Vibrio cholerae, ICP1, PLE11, Rta, phage coevolution.</p>
<p> Study Highlights:<br />This study analysed clinical Vibrio cholerae and ICP1 isolates from stool in Bangladesh using genomic surveillance, plaque assays, qPCR, experimental phage evolution, TEM and mass spectrometry. The authors identify a newly acquired mobile element, PLE11, whose small protein Rta disrupts ICP1 tail assembly by targeting the phage tape measure protein (TMP), producing genome-filled tailless capsids. PLE11 also encodes a TMP and other tail factors enabling assembly of chimeric virions that incorporate PLE-encoded TMP and BhuB, preserving satellite transmission. Continued surveillance documented natural ICP1 counteradaptation via CRISPR–Cas acquisition and convergent TMP substitutions that restore infectivity.</p>
<p> Conclusion:<br />Acquisition of PLE11 encoding the tail-targeting protein Rta drove selection of phage-resistant Vibrio cholerae in Bangladesh and prompted convergent ICP1 counteradaptations that restore phage propagation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Capturing dynamic phage–pathogen coevolution by clinical surveillance</p>
<p> First author:<br />Mathur Y</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-026-10136-z</p>
<p> Reference:<br />Mathur Y., Boyd C. M., Farnham J. E., Monir M. M., Islam M. T., Sultana M., Ahmed T., Alam M. &amp; Seed K. D. Capturing dynamic phage–pathogen coevolution by clinical surveillance. Nature (2026). https://doi.org/10.1038/s41586-026-10136-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ple11-rta-icp1-tail-assembly</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections that discuss the phage–bacteria arms race, PLE11 and Rta, TMP/TAC/BhuB, chimeric tail assembly, phage counterdefenses (CRISPR–Cas, Odn, Adi), and clinical surveillance data from Bangladesh, including outbreak dynamics and convergent evolution.<br />- transcript topics: Phage–bacteria arms race overview; Phage satellites (PLEs) and anti-PLE strategies; Rta-mediated tail assembly restriction via TMP targeting; Chimeric tail assembly with PLE11-encoded components; ICP1 counterdefenses (CRISPR–Cas, Odn, Adi) and phage evolution; Clinical surveillance in Bangladesh (BD-1.2 sweep, 2022 outbreak)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Rta (PLE11-encoded) restricts ICP1 tail assembly by targeting TMP<br />- PLE11 encodes its own TMP and tail assembly factors (TAC) and BhuB to form chimeric tails enabling PLE transmission<br />- BD-1.2 Vibrio cholerae populations acquired PLE11 and reached ~91% prevalence within 9 months<br />- ICP1 populations shifted from Odn-me...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Mathur Y et al., Nature - Clinical surveillance in Bangladesh shows Vibrio cholerae acquired PLE11 encoding Rta that restricts ICP1 tail assembly, driving a selective sweep of phage-resistant strains. Key terms: Vibrio cholerae, ICP1, PLE11, Rta, phage coevolution.
 Study Highlights:This study analysed clinical Vibrio cholerae and ICP1 isolates from stool in Bangladesh using genomic surveillance, plaque assays, qPCR, experimental phage evolution, TEM and mass spectrometry. The authors identify a newly acquired mobile element, PLE11, whose small protein Rta disrupts ICP1 tail assembly by targeting the phage tape measure protein (TMP), producing genome-filled tailless capsids. PLE11 also encodes a TMP and other tail factors enabling assembly of chimeric virions that incorporate PLE-encoded TMP and BhuB, preserving satellite transmission. Continued surveillance documented natural ICP1 counteradaptation via CRISPR–Cas acquisition and convergent TMP substitutions that restore infectivity.
 Conclusion:Acquisition of PLE11 encoding the tail-targeting protein Rta drove selection of phage-resistant Vibrio cholerae in Bangladesh and prompted convergent ICP1 counteradaptations that restore phage propagation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Capturing dynamic phage–pathogen coevolution by clinical surveillance
 First author:Mathur Y
 Journal:Nature
 DOI:10.1038/s41586-026-10136-z
 Reference:Mathur Y., Boyd C. M., Farnham J. E., Monir M. M., Islam M. T., Sultana M., Ahmed T., Alam M. & Seed K. D. Capturing dynamic phage–pathogen coevolution by clinical surveillance. Nature (2026). https://doi.org/10.1038/s41586-026-10136-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ple11-rta-icp1-tail-assembly
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections that discuss the phage–bacteria arms race, PLE11 and Rta, TMP/TAC/BhuB, chimeric tail assembly, phage counterdefenses (CRISPR–Cas, Odn, Adi), and clinical surveillance data from Bangladesh, including outbreak dynamics and convergent evolution.- transcript topics: Phage–bacteria arms race overview; Phage satellites (PLEs) and anti-PLE strategies; Rta-mediated tail assembly restriction via TMP targeting; Chimeric tail assembly with PLE11-encoded components; ICP1 counterdefenses (CRISPR–Cas, Odn, Adi) and phage evolution; Clinical surveillance in Bangladesh (BD-1.2 sweep, 2022 outbreak)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Rta (PLE11-encoded) restricts ICP1 tail assembly by targeting TMP- PLE11 encodes its own TMP and tail assembly factors (TAC) and BhuB to form chimeric tails enabling PLE transmission- BD-1.2 Vibrio cholerae populations acquired PLE11 and reached ~91% prevalence within 9 months- ICP1 populations shifted from Odn-me...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[315: PLE11-encoded Rta restricts ICP1 tail assembly in Vibrio cholerae outbreaks]]>
                </itunes:title>
                                    <itunes:episode>315</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Mathur Y et al., Nature - Clinical surveillance in Bangladesh shows Vibrio cholerae acquired PLE11 encoding Rta that restricts ICP1 tail assembly, driving a selective sweep of phage-resistant strains. Key terms: Vibrio cholerae, ICP1, PLE11, Rta, phage coevolution.</p>
<p> Study Highlights:<br />This study analysed clinical Vibrio cholerae and ICP1 isolates from stool in Bangladesh using genomic surveillance, plaque assays, qPCR, experimental phage evolution, TEM and mass spectrometry. The authors identify a newly acquired mobile element, PLE11, whose small protein Rta disrupts ICP1 tail assembly by targeting the phage tape measure protein (TMP), producing genome-filled tailless capsids. PLE11 also encodes a TMP and other tail factors enabling assembly of chimeric virions that incorporate PLE-encoded TMP and BhuB, preserving satellite transmission. Continued surveillance documented natural ICP1 counteradaptation via CRISPR–Cas acquisition and convergent TMP substitutions that restore infectivity.</p>
<p> Conclusion:<br />Acquisition of PLE11 encoding the tail-targeting protein Rta drove selection of phage-resistant Vibrio cholerae in Bangladesh and prompted convergent ICP1 counteradaptations that restore phage propagation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Capturing dynamic phage–pathogen coevolution by clinical surveillance</p>
<p> First author:<br />Mathur Y</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-026-10136-z</p>
<p> Reference:<br />Mathur Y., Boyd C. M., Farnham J. E., Monir M. M., Islam M. T., Sultana M., Ahmed T., Alam M. &amp; Seed K. D. Capturing dynamic phage–pathogen coevolution by clinical surveillance. Nature (2026). https://doi.org/10.1038/s41586-026-10136-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ple11-rta-icp1-tail-assembly</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections that discuss the phage–bacteria arms race, PLE11 and Rta, TMP/TAC/BhuB, chimeric tail assembly, phage counterdefenses (CRISPR–Cas, Odn, Adi), and clinical surveillance data from Bangladesh, including outbreak dynamics and convergent evolution.<br />- transcript topics: Phage–bacteria arms race overview; Phage satellites (PLEs) and anti-PLE strategies; Rta-mediated tail assembly restriction via TMP targeting; Chimeric tail assembly with PLE11-encoded components; ICP1 counterdefenses (CRISPR–Cas, Odn, Adi) and phage evolution; Clinical surveillance in Bangladesh (BD-1.2 sweep, 2022 outbreak)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Rta (PLE11-encoded) restricts ICP1 tail assembly by targeting TMP<br />- PLE11 encodes its own TMP and tail assembly factors (TAC) and BhuB to form chimeric tails enabling PLE transmission<br />- BD-1.2 Vibrio cholerae populations acquired PLE11 and reached ~91% prevalence within 9 months<br />- ICP1 populations shifted from Odn-mediated resistance to CRISPR–Cas–mediated resistance, with TMP substitutions (e.g., L362P, N355S) observed<br />- TEM and proteomics show PLE11 tails incorporate PLE11 TMP and BhuB and lack ICP1 TMP/BhuB, producing shorter tails (~10 nm)<br />- Outbreak in Dhaka, Bangladesh in early 2022 involved &gt;42,000 cholera patients</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Mathur Y et al., Nature - Clinical surveillance in Bangladesh shows Vibrio cholerae acquired PLE11 encoding Rta that restricts ICP1 tail assembly, driving a selective sweep of phage-resistant strains. Key terms: Vibrio cholerae, ICP1, PLE11, Rta, phage coevolution.
 Study Highlights:This study analysed clinical Vibrio cholerae and ICP1 isolates from stool in Bangladesh using genomic surveillance, plaque assays, qPCR, experimental phage evolution, TEM and mass spectrometry. The authors identify a newly acquired mobile element, PLE11, whose small protein Rta disrupts ICP1 tail assembly by targeting the phage tape measure protein (TMP), producing genome-filled tailless capsids. PLE11 also encodes a TMP and other tail factors enabling assembly of chimeric virions that incorporate PLE-encoded TMP and BhuB, preserving satellite transmission. Continued surveillance documented natural ICP1 counteradaptation via CRISPR–Cas acquisition and convergent TMP substitutions that restore infectivity.
 Conclusion:Acquisition of PLE11 encoding the tail-targeting protein Rta drove selection of phage-resistant Vibrio cholerae in Bangladesh and prompted convergent ICP1 counteradaptations that restore phage propagation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Capturing dynamic phage–pathogen coevolution by clinical surveillance
 First author:Mathur Y
 Journal:Nature
 DOI:10.1038/s41586-026-10136-z
 Reference:Mathur Y., Boyd C. M., Farnham J. E., Monir M. M., Islam M. T., Sultana M., Ahmed T., Alam M. & Seed K. D. Capturing dynamic phage–pathogen coevolution by clinical surveillance. Nature (2026). https://doi.org/10.1038/s41586-026-10136-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ple11-rta-icp1-tail-assembly
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections that discuss the phage–bacteria arms race, PLE11 and Rta, TMP/TAC/BhuB, chimeric tail assembly, phage counterdefenses (CRISPR–Cas, Odn, Adi), and clinical surveillance data from Bangladesh, including outbreak dynamics and convergent evolution.- transcript topics: Phage–bacteria arms race overview; Phage satellites (PLEs) and anti-PLE strategies; Rta-mediated tail assembly restriction via TMP targeting; Chimeric tail assembly with PLE11-encoded components; ICP1 counterdefenses (CRISPR–Cas, Odn, Adi) and phage evolution; Clinical surveillance in Bangladesh (BD-1.2 sweep, 2022 outbreak)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Rta (PLE11-encoded) restricts ICP1 tail assembly by targeting TMP- PLE11 encodes its own TMP and tail assembly factors (TAC) and BhuB to form chimeric tails enabling PLE transmission- BD-1.2 Vibrio cholerae populations acquired PLE11 and reached ~91% prevalence within 9 months- ICP1 populations shifted from Odn-me...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2391810/c1a-p6xp7-474155zqfm9n-6t4yff.png"></itunes:image>
                                                                            <itunes:duration>00:23:59</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[314: Proactive Genomic Reanalysis at Boston Children’s: VS-NN, HPO NLP and DRAGEN find diagnoses in pediatric ES/GS]]>
                </title>
                <pubDate>Wed, 11 Mar 2026 23:28:26 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2391330</guid>
                                    <link>https://basebybase.castos.com/episodes/proactive-genomic-reanalysis-bch</link>
                                <description>
                                            <![CDATA[<p>Rockowitz S et al., Human Genetics and Genomics Advances - Boston Children's Hospital used VS-NN, HPO NLP, and DRAGEN reprocessing in a proactive genomic reanalysis to identify candidate diagnoses in 2% of pediatric ES/GS cases. Key terms: genomic reanalysis, proactive reanalysis, VS-NN, HPO NLP, rare disease diagnostics.</p>
<p> Study Highlights:<br />The study deployed a centralized Proactive Genomic Reanalysis (PGR) workflow on a Boston Children’s Hospital pediatric ES/GS cohort integrated into the CRDC infrastructure. Key methods combined DRAGEN reprocessing, automated HPO extraction from EHR notes, CFA filtering on the GeneDx research platform and a VS-NN variant-scoring neural network followed by two-pass manual review. Applied to 2,144 previously unsolved cases, the pipeline flagged 310 variants, manual review prioritized 45 variants in 42 patients, and clinicians judged 33 variants to have high suspicion of disease causality, yielding ~2% candidate diagnostic rate. The work shows that institution-led, semi-automated reanalysis can produce clinically actionable findings while reducing reliance on clinician-initiated lab reanalysis, though it requires infrastructure for data transfer, confirmation and patient recontact.</p>
<p> Conclusion:<br />A centralized, semi-automated, clinically integrated Proactive Genomic Reanalysis workflow at Boston Children’s Hospital is feasible and identified candidate diagnostic variants in 2% of reviewed pediatric ES/GS cases, demonstrating a scalable model that can increase diagnoses while requiring institutional resources for confirmation and recontact.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Scaling genomic reanalysis to unlock diagnoses and transform rare disease care</p>
<p> First author:<br />Rockowitz S</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100582</p>
<p> Reference:<br />Rockowitz S, Shao W, French C, Truong TK, Hagen J, McGonigle R, et al.; and Wendy K. Chung. Scaling genomic reanalysis to unlock diagnoses and transform rare disease care. Human Genetics and Genomics Advances. 2026;7:100582. https://doi.org/10.1016/j.xhgg.2026.100582.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/proactive-genomic-reanalysis-bch</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the portion of the transcript describing the centralized Proactive Genomic Reanalysis (PGR) workflow, VS-NN AI scoring, NLP-based HPO extraction, CFA/DRAGEN pipelines, pilot results, and implementation challenges including data access and recontact.<br />- transcript topics: Centralized Proactive Genomic Reanalysis (PGR) workflow; VS-NN variant scoring neural network; HPO NLP and phenotype matching; DRAGEN read mapping and CFA filtering; Two-pass manual review process; Pilot results: dataset size, variant counts, and diagnostic yield</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- licens...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Rockowitz S et al., Human Genetics and Genomics Advances - Boston Children's Hospital used VS-NN, HPO NLP, and DRAGEN reprocessing in a proactive genomic reanalysis to identify candidate diagnoses in 2% of pediatric ES/GS cases. Key terms: genomic reanalysis, proactive reanalysis, VS-NN, HPO NLP, rare disease diagnostics.
 Study Highlights:The study deployed a centralized Proactive Genomic Reanalysis (PGR) workflow on a Boston Children’s Hospital pediatric ES/GS cohort integrated into the CRDC infrastructure. Key methods combined DRAGEN reprocessing, automated HPO extraction from EHR notes, CFA filtering on the GeneDx research platform and a VS-NN variant-scoring neural network followed by two-pass manual review. Applied to 2,144 previously unsolved cases, the pipeline flagged 310 variants, manual review prioritized 45 variants in 42 patients, and clinicians judged 33 variants to have high suspicion of disease causality, yielding ~2% candidate diagnostic rate. The work shows that institution-led, semi-automated reanalysis can produce clinically actionable findings while reducing reliance on clinician-initiated lab reanalysis, though it requires infrastructure for data transfer, confirmation and patient recontact.
 Conclusion:A centralized, semi-automated, clinically integrated Proactive Genomic Reanalysis workflow at Boston Children’s Hospital is feasible and identified candidate diagnostic variants in 2% of reviewed pediatric ES/GS cases, demonstrating a scalable model that can increase diagnoses while requiring institutional resources for confirmation and recontact.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Scaling genomic reanalysis to unlock diagnoses and transform rare disease care
 First author:Rockowitz S
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100582
 Reference:Rockowitz S, Shao W, French C, Truong TK, Hagen J, McGonigle R, et al.; and Wendy K. Chung. Scaling genomic reanalysis to unlock diagnoses and transform rare disease care. Human Genetics and Genomics Advances. 2026;7:100582. https://doi.org/10.1016/j.xhgg.2026.100582.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/proactive-genomic-reanalysis-bch
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the portion of the transcript describing the centralized Proactive Genomic Reanalysis (PGR) workflow, VS-NN AI scoring, NLP-based HPO extraction, CFA/DRAGEN pipelines, pilot results, and implementation challenges including data access and recontact.- transcript topics: Centralized Proactive Genomic Reanalysis (PGR) workflow; VS-NN variant scoring neural network; HPO NLP and phenotype matching; DRAGEN read mapping and CFA filtering; Two-pass manual review process; Pilot results: dataset size, variant counts, and diagnostic yield
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- licens...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[314: Proactive Genomic Reanalysis at Boston Children’s: VS-NN, HPO NLP and DRAGEN find diagnoses in pediatric ES/GS]]>
                </itunes:title>
                                    <itunes:episode>314</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Rockowitz S et al., Human Genetics and Genomics Advances - Boston Children's Hospital used VS-NN, HPO NLP, and DRAGEN reprocessing in a proactive genomic reanalysis to identify candidate diagnoses in 2% of pediatric ES/GS cases. Key terms: genomic reanalysis, proactive reanalysis, VS-NN, HPO NLP, rare disease diagnostics.</p>
<p> Study Highlights:<br />The study deployed a centralized Proactive Genomic Reanalysis (PGR) workflow on a Boston Children’s Hospital pediatric ES/GS cohort integrated into the CRDC infrastructure. Key methods combined DRAGEN reprocessing, automated HPO extraction from EHR notes, CFA filtering on the GeneDx research platform and a VS-NN variant-scoring neural network followed by two-pass manual review. Applied to 2,144 previously unsolved cases, the pipeline flagged 310 variants, manual review prioritized 45 variants in 42 patients, and clinicians judged 33 variants to have high suspicion of disease causality, yielding ~2% candidate diagnostic rate. The work shows that institution-led, semi-automated reanalysis can produce clinically actionable findings while reducing reliance on clinician-initiated lab reanalysis, though it requires infrastructure for data transfer, confirmation and patient recontact.</p>
<p> Conclusion:<br />A centralized, semi-automated, clinically integrated Proactive Genomic Reanalysis workflow at Boston Children’s Hospital is feasible and identified candidate diagnostic variants in 2% of reviewed pediatric ES/GS cases, demonstrating a scalable model that can increase diagnoses while requiring institutional resources for confirmation and recontact.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Scaling genomic reanalysis to unlock diagnoses and transform rare disease care</p>
<p> First author:<br />Rockowitz S</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100582</p>
<p> Reference:<br />Rockowitz S, Shao W, French C, Truong TK, Hagen J, McGonigle R, et al.; and Wendy K. Chung. Scaling genomic reanalysis to unlock diagnoses and transform rare disease care. Human Genetics and Genomics Advances. 2026;7:100582. https://doi.org/10.1016/j.xhgg.2026.100582.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/proactive-genomic-reanalysis-bch</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the portion of the transcript describing the centralized Proactive Genomic Reanalysis (PGR) workflow, VS-NN AI scoring, NLP-based HPO extraction, CFA/DRAGEN pipelines, pilot results, and implementation challenges including data access and recontact.<br />- transcript topics: Centralized Proactive Genomic Reanalysis (PGR) workflow; VS-NN variant scoring neural network; HPO NLP and phenotype matching; DRAGEN read mapping and CFA filtering; Two-pass manual review process; Pilot results: dataset size, variant counts, and diagnostic yield</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PGR pipeline yielded a 2% diagnostic rate in the initial pilot<br />- Pilot dataset: 2,144 patients; 62,637 variants; 310 flagged by VS-NN; 45 returnable in 42 patients; 33 high-suspicion variants<br />- VS-NN AUC: 0.99 for pathogenic/likely pathogenic (P/LP); 0.94 for variants of uncertain significance (VUS)<br />- NLP-extracted HPO terms enabled dynamic phenotyping; including NLP terms did not significantly change VS-NN scores</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Rockowitz S et al., Human Genetics and Genomics Advances - Boston Children's Hospital used VS-NN, HPO NLP, and DRAGEN reprocessing in a proactive genomic reanalysis to identify candidate diagnoses in 2% of pediatric ES/GS cases. Key terms: genomic reanalysis, proactive reanalysis, VS-NN, HPO NLP, rare disease diagnostics.
 Study Highlights:The study deployed a centralized Proactive Genomic Reanalysis (PGR) workflow on a Boston Children’s Hospital pediatric ES/GS cohort integrated into the CRDC infrastructure. Key methods combined DRAGEN reprocessing, automated HPO extraction from EHR notes, CFA filtering on the GeneDx research platform and a VS-NN variant-scoring neural network followed by two-pass manual review. Applied to 2,144 previously unsolved cases, the pipeline flagged 310 variants, manual review prioritized 45 variants in 42 patients, and clinicians judged 33 variants to have high suspicion of disease causality, yielding ~2% candidate diagnostic rate. The work shows that institution-led, semi-automated reanalysis can produce clinically actionable findings while reducing reliance on clinician-initiated lab reanalysis, though it requires infrastructure for data transfer, confirmation and patient recontact.
 Conclusion:A centralized, semi-automated, clinically integrated Proactive Genomic Reanalysis workflow at Boston Children’s Hospital is feasible and identified candidate diagnostic variants in 2% of reviewed pediatric ES/GS cases, demonstrating a scalable model that can increase diagnoses while requiring institutional resources for confirmation and recontact.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Scaling genomic reanalysis to unlock diagnoses and transform rare disease care
 First author:Rockowitz S
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100582
 Reference:Rockowitz S, Shao W, French C, Truong TK, Hagen J, McGonigle R, et al.; and Wendy K. Chung. Scaling genomic reanalysis to unlock diagnoses and transform rare disease care. Human Genetics and Genomics Advances. 2026;7:100582. https://doi.org/10.1016/j.xhgg.2026.100582.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/proactive-genomic-reanalysis-bch
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the portion of the transcript describing the centralized Proactive Genomic Reanalysis (PGR) workflow, VS-NN AI scoring, NLP-based HPO extraction, CFA/DRAGEN pipelines, pilot results, and implementation challenges including data access and recontact.- transcript topics: Centralized Proactive Genomic Reanalysis (PGR) workflow; VS-NN variant scoring neural network; HPO NLP and phenotype matching; DRAGEN read mapping and CFA filtering; Two-pass manual review process; Pilot results: dataset size, variant counts, and diagnostic yield
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- licens...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:22:41</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[313: Integrating Polygenic Risk Scores and Social Determinants of Health across Populations]]>
                </title>
                <pubDate>Tue, 10 Mar 2026 06:07:46 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2389087</guid>
                                    <link>https://basebybase.castos.com/episodes/polygenic-risk-sdoh-harmonization</link>
                                <description>
                                            <![CDATA[<p>Cromer SJ et al., The American Journal of Human Genetics - This paper reviews polygenic risk scores (PRS) and social determinants of health (SDoH) and outlines best practices for integrating PRS and SDoH across diverse populations to improve prediction and equity. Key terms: polygenic risk scores, social determinants of health, PRS transferability, data harmonization, type 2 diabetes.</p>
<p> Study Highlights:<br />This review focuses on human populations and uses conceptual frameworks, hypothetical population examples, and synthesis of methodological studies to evaluate PRS and SDoH integration. It summarizes methods for PRS construction and transferability, SDoH measurement at individual and area levels, and analytic approaches including interaction, mediation, and calibration. Quantitatively, the authors note substantial declines in PRS predictive accuracy when applied to genetically distinct populations (for example, African-ancestry performance often ~20–40% of European-derived PRS). The review highlights harmonization, population-specific calibration, and interdisciplinary teams as functional steps to improve predictive validity and reduce inequitable impacts.</p>
<p> Conclusion:<br />Integrating PRSs with carefully measured and harmonized SDoH across diverse populations requires population-aware conceptual frameworks, calibrated analytic methods, diverse datasets, and ethical safeguards to improve predictive validity and equity.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research</p>
<p> First author:<br />Cromer SJ</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.007</p>
<p> Reference:<br />Cromer SJ, Cobran EK, Iyer HS, Hysong MR, Vargas LB, Smith JL, Konigsberg IR, Bogumil D, Glover L, King G, PRIMED Consortium SDoH Working Group, Lange LA, Patel A, Wojcik G, Raffield L, Conti DV, et al. Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research. The American Journal of Human Genetics. 2026;113:1–25. https://doi.org/10.1016/j.ajhg.2026.02.007</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/polygenic-risk-sdoh-harmonization</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive sections of the transcript covering PRS basics, PRS transferability across populations, SDoH domains and measurement, harmonization challenges, analytical frameworks (main effects, interactions, mediation), T2D as an illustrative case, and ethical considerations.<br />- transcript topics: PRS basics and transferability; SDoH four-domain framework (socioeconomic, sociocultural, physical environment, healthcare access); Individual vs area-level SDoH measures; SDoH harmonization across datasets; Analytical frameworks (main effects, interaction/effect modification, mediation); T2D as illustrative example</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata chec...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Cromer SJ et al., The American Journal of Human Genetics - This paper reviews polygenic risk scores (PRS) and social determinants of health (SDoH) and outlines best practices for integrating PRS and SDoH across diverse populations to improve prediction and equity. Key terms: polygenic risk scores, social determinants of health, PRS transferability, data harmonization, type 2 diabetes.
 Study Highlights:This review focuses on human populations and uses conceptual frameworks, hypothetical population examples, and synthesis of methodological studies to evaluate PRS and SDoH integration. It summarizes methods for PRS construction and transferability, SDoH measurement at individual and area levels, and analytic approaches including interaction, mediation, and calibration. Quantitatively, the authors note substantial declines in PRS predictive accuracy when applied to genetically distinct populations (for example, African-ancestry performance often ~20–40% of European-derived PRS). The review highlights harmonization, population-specific calibration, and interdisciplinary teams as functional steps to improve predictive validity and reduce inequitable impacts.
 Conclusion:Integrating PRSs with carefully measured and harmonized SDoH across diverse populations requires population-aware conceptual frameworks, calibrated analytic methods, diverse datasets, and ethical safeguards to improve predictive validity and equity.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research
 First author:Cromer SJ
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.007
 Reference:Cromer SJ, Cobran EK, Iyer HS, Hysong MR, Vargas LB, Smith JL, Konigsberg IR, Bogumil D, Glover L, King G, PRIMED Consortium SDoH Working Group, Lange LA, Patel A, Wojcik G, Raffield L, Conti DV, et al. Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research. The American Journal of Human Genetics. 2026;113:1–25. https://doi.org/10.1016/j.ajhg.2026.02.007
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/polygenic-risk-sdoh-harmonization
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive sections of the transcript covering PRS basics, PRS transferability across populations, SDoH domains and measurement, harmonization challenges, analytical frameworks (main effects, interactions, mediation), T2D as an illustrative case, and ethical considerations.- transcript topics: PRS basics and transferability; SDoH four-domain framework (socioeconomic, sociocultural, physical environment, healthcare access); Individual vs area-level SDoH measures; SDoH harmonization across datasets; Analytical frameworks (main effects, interaction/effect modification, mediation); T2D as illustrative example
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata chec...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[313: Integrating Polygenic Risk Scores and Social Determinants of Health across Populations]]>
                </itunes:title>
                                    <itunes:episode>313</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Cromer SJ et al., The American Journal of Human Genetics - This paper reviews polygenic risk scores (PRS) and social determinants of health (SDoH) and outlines best practices for integrating PRS and SDoH across diverse populations to improve prediction and equity. Key terms: polygenic risk scores, social determinants of health, PRS transferability, data harmonization, type 2 diabetes.</p>
<p> Study Highlights:<br />This review focuses on human populations and uses conceptual frameworks, hypothetical population examples, and synthesis of methodological studies to evaluate PRS and SDoH integration. It summarizes methods for PRS construction and transferability, SDoH measurement at individual and area levels, and analytic approaches including interaction, mediation, and calibration. Quantitatively, the authors note substantial declines in PRS predictive accuracy when applied to genetically distinct populations (for example, African-ancestry performance often ~20–40% of European-derived PRS). The review highlights harmonization, population-specific calibration, and interdisciplinary teams as functional steps to improve predictive validity and reduce inequitable impacts.</p>
<p> Conclusion:<br />Integrating PRSs with carefully measured and harmonized SDoH across diverse populations requires population-aware conceptual frameworks, calibrated analytic methods, diverse datasets, and ethical safeguards to improve predictive validity and equity.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research</p>
<p> First author:<br />Cromer SJ</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.007</p>
<p> Reference:<br />Cromer SJ, Cobran EK, Iyer HS, Hysong MR, Vargas LB, Smith JL, Konigsberg IR, Bogumil D, Glover L, King G, PRIMED Consortium SDoH Working Group, Lange LA, Patel A, Wojcik G, Raffield L, Conti DV, et al. Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research. The American Journal of Human Genetics. 2026;113:1–25. https://doi.org/10.1016/j.ajhg.2026.02.007</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/polygenic-risk-sdoh-harmonization</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive sections of the transcript covering PRS basics, PRS transferability across populations, SDoH domains and measurement, harmonization challenges, analytical frameworks (main effects, interactions, mediation), T2D as an illustrative case, and ethical considerations.<br />- transcript topics: PRS basics and transferability; SDoH four-domain framework (socioeconomic, sociocultural, physical environment, healthcare access); Individual vs area-level SDoH measures; SDoH harmonization across datasets; Analytical frameworks (main effects, interaction/effect modification, mediation); T2D as illustrative example</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PRS predictive accuracy declines across populations; African-ancestry accuracy ~20–40% of European-derived PRS<br />- SDoH clustering, distribution, and effect sizes vary across populations and can modify PRS effects; harmonization improves transferability<br />- Ethical and representation issues are critical to study design and interpretation<br />- Race and ethnicity are socially constructed; genetic similarity is a continuous spectrum<br />- SDoH measured at individual and area levels across four domains<br />- Harmonization of SDoH measures is challenging; ecological fallacy cautions apply</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Cromer SJ et al., The American Journal of Human Genetics - This paper reviews polygenic risk scores (PRS) and social determinants of health (SDoH) and outlines best practices for integrating PRS and SDoH across diverse populations to improve prediction and equity. Key terms: polygenic risk scores, social determinants of health, PRS transferability, data harmonization, type 2 diabetes.
 Study Highlights:This review focuses on human populations and uses conceptual frameworks, hypothetical population examples, and synthesis of methodological studies to evaluate PRS and SDoH integration. It summarizes methods for PRS construction and transferability, SDoH measurement at individual and area levels, and analytic approaches including interaction, mediation, and calibration. Quantitatively, the authors note substantial declines in PRS predictive accuracy when applied to genetically distinct populations (for example, African-ancestry performance often ~20–40% of European-derived PRS). The review highlights harmonization, population-specific calibration, and interdisciplinary teams as functional steps to improve predictive validity and reduce inequitable impacts.
 Conclusion:Integrating PRSs with carefully measured and harmonized SDoH across diverse populations requires population-aware conceptual frameworks, calibrated analytic methods, diverse datasets, and ethical safeguards to improve predictive validity and equity.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research
 First author:Cromer SJ
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.007
 Reference:Cromer SJ, Cobran EK, Iyer HS, Hysong MR, Vargas LB, Smith JL, Konigsberg IR, Bogumil D, Glover L, King G, PRIMED Consortium SDoH Working Group, Lange LA, Patel A, Wojcik G, Raffield L, Conti DV, et al. Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research. The American Journal of Human Genetics. 2026;113:1–25. https://doi.org/10.1016/j.ajhg.2026.02.007
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/polygenic-risk-sdoh-harmonization
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive sections of the transcript covering PRS basics, PRS transferability across populations, SDoH domains and measurement, harmonization challenges, analytical frameworks (main effects, interactions, mediation), T2D as an illustrative case, and ethical considerations.- transcript topics: PRS basics and transferability; SDoH four-domain framework (socioeconomic, sociocultural, physical environment, healthcare access); Individual vs area-level SDoH measures; SDoH harmonization across datasets; Analytical frameworks (main effects, interaction/effect modification, mediation); T2D as illustrative example
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata chec...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2389087/c1a-p6xp7-258kvv6wc07g-toqxxn.png"></itunes:image>
                                                                            <itunes:duration>00:24:46</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[312: Mfsd2a transports LPC to maintain epidermal linoleate pools and desquamation]]>
                </title>
                <pubDate>Mon, 09 Mar 2026 23:50:06 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2388830</guid>
                                    <link>https://basebybase.castos.com/episodes/mfsd2a-lpc-epidermal-homeostasis</link>
                                <description>
                                            <![CDATA[<p>Wong BHH et al., Proc. Natl. Acad. Sci. U.S.A - Mouse and human studies show the LPC transporter Mfsd2a enables plasma-derived LPC uptake into keratinocytes, preserving linoleate-rich phosphatidylcholine pools and promoting epidermal differentiation. Key terms: Mfsd2a, lysophosphatidylcholine, keratinocyte differentiation, linoleic acid, lipidomics.</p>
<p> Study Highlights:<br />Using epidermis-specific (2aEpKO) and conventional (2aKO) Mfsd2a-deficient mice, lineage tracing, untargeted shotgun lipidomics, LightOx-LPC uptake assays, and primary human keratinocyte cultures, the authors mapped Mfsd2a expression to suprabasal/granular keratinocytes and demonstrated Mfsd2a-dependent uptake of plasma-derived LPC in vivo. Lipidomic quantification showed reductions in linoleate-containing phospholipids (PL-18:2 decreased ~15% in 2aEpKO and ~13% in 2aKO) and a marked loss of TAG-18:2 (−79% in 2aEpKO). Inducible epidermal Mfsd2a loss produced transient dermatitis, defective desquamation, retained lamellar bodies, and keratinocyte activation, while MFSD2A knockdown in human keratinocytes reduced LPC-driven differentiation. Functional rescue experiments in vitro revealed that LPC-18:1 and LPC-18:2 promote keratinocyte differentiation in an MFSD2A-dependent manner, linking plasma LPC uptake to epidermal lipid homeostasis and differentiation.</p>
<p> Conclusion:<br />Mfsd2a mediates uptake of plasma-derived LPC (notably LPC-18:2) into suprabasal keratinocytes to maintain linoleate-containing phospholipid pools and support keratinocyte differentiation and normal desquamation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Mfsd2a is important for maintaining epidermal homeostasis</p>
<p> First author:<br />Wong BHH</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A</p>
<p> DOI:<br />10.1073/pnas.2531159123</p>
<p> Reference:<br />Wong BHH, Behmoaras J, Chua AWC, Galam DLA, Tan BC, Torta F, Chin CF, Mishra K, Ding M, Silver DL. Mfsd2a is important for maintaining epidermal homeostasis. Proc. Natl. Acad. Sci. U.S.A. 2026 Feb 19;123(8):e2531159123. https://doi.org/10.1073/pnas.2531159123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mfsd2a-lpc-epidermal-homeostasis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing MFSD2A expression in epidermal keratinocytes, inducible epidermis-specific and conventional Mfsd2a knockout phenotypes, epidermal lipidomics (18:2 species and DAG shifts), LightOx-LPC uptake demonstrating MFSD2A dependence, and MFSD2A-dependent differentiation of human keratin<br />- transcript topics: MFSD2A expression in differentiated epidermal keratinocytes; Inducible postnatal Mfsd2a deficiency and dermatitis; Conventional Mfsd2a knockout and desquamation defects; Epidermal lipidomics: PL-18:2 and TAG-18:2 reductions; DAG shifts; LPC uptake into epidermis using LightOx-LPC and MFSD2A dependence; MFSD2A-dependent differentiation of human keratinocytes with LPCs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>M...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Wong BHH et al., Proc. Natl. Acad. Sci. U.S.A - Mouse and human studies show the LPC transporter Mfsd2a enables plasma-derived LPC uptake into keratinocytes, preserving linoleate-rich phosphatidylcholine pools and promoting epidermal differentiation. Key terms: Mfsd2a, lysophosphatidylcholine, keratinocyte differentiation, linoleic acid, lipidomics.
 Study Highlights:Using epidermis-specific (2aEpKO) and conventional (2aKO) Mfsd2a-deficient mice, lineage tracing, untargeted shotgun lipidomics, LightOx-LPC uptake assays, and primary human keratinocyte cultures, the authors mapped Mfsd2a expression to suprabasal/granular keratinocytes and demonstrated Mfsd2a-dependent uptake of plasma-derived LPC in vivo. Lipidomic quantification showed reductions in linoleate-containing phospholipids (PL-18:2 decreased ~15% in 2aEpKO and ~13% in 2aKO) and a marked loss of TAG-18:2 (−79% in 2aEpKO). Inducible epidermal Mfsd2a loss produced transient dermatitis, defective desquamation, retained lamellar bodies, and keratinocyte activation, while MFSD2A knockdown in human keratinocytes reduced LPC-driven differentiation. Functional rescue experiments in vitro revealed that LPC-18:1 and LPC-18:2 promote keratinocyte differentiation in an MFSD2A-dependent manner, linking plasma LPC uptake to epidermal lipid homeostasis and differentiation.
 Conclusion:Mfsd2a mediates uptake of plasma-derived LPC (notably LPC-18:2) into suprabasal keratinocytes to maintain linoleate-containing phospholipid pools and support keratinocyte differentiation and normal desquamation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Mfsd2a is important for maintaining epidermal homeostasis
 First author:Wong BHH
 Journal:Proc. Natl. Acad. Sci. U.S.A
 DOI:10.1073/pnas.2531159123
 Reference:Wong BHH, Behmoaras J, Chua AWC, Galam DLA, Tan BC, Torta F, Chin CF, Mishra K, Ding M, Silver DL. Mfsd2a is important for maintaining epidermal homeostasis. Proc. Natl. Acad. Sci. U.S.A. 2026 Feb 19;123(8):e2531159123. https://doi.org/10.1073/pnas.2531159123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mfsd2a-lpc-epidermal-homeostasis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing MFSD2A expression in epidermal keratinocytes, inducible epidermis-specific and conventional Mfsd2a knockout phenotypes, epidermal lipidomics (18:2 species and DAG shifts), LightOx-LPC uptake demonstrating MFSD2A dependence, and MFSD2A-dependent differentiation of human keratin- transcript topics: MFSD2A expression in differentiated epidermal keratinocytes; Inducible postnatal Mfsd2a deficiency and dermatitis; Conventional Mfsd2a knockout and desquamation defects; Epidermal lipidomics: PL-18:2 and TAG-18:2 reductions; DAG shifts; LPC uptake into epidermis using LightOx-LPC and MFSD2A dependence; MFSD2A-dependent differentiation of human keratinocytes with LPCs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
M...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[312: Mfsd2a transports LPC to maintain epidermal linoleate pools and desquamation]]>
                </itunes:title>
                                    <itunes:episode>312</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Wong BHH et al., Proc. Natl. Acad. Sci. U.S.A - Mouse and human studies show the LPC transporter Mfsd2a enables plasma-derived LPC uptake into keratinocytes, preserving linoleate-rich phosphatidylcholine pools and promoting epidermal differentiation. Key terms: Mfsd2a, lysophosphatidylcholine, keratinocyte differentiation, linoleic acid, lipidomics.</p>
<p> Study Highlights:<br />Using epidermis-specific (2aEpKO) and conventional (2aKO) Mfsd2a-deficient mice, lineage tracing, untargeted shotgun lipidomics, LightOx-LPC uptake assays, and primary human keratinocyte cultures, the authors mapped Mfsd2a expression to suprabasal/granular keratinocytes and demonstrated Mfsd2a-dependent uptake of plasma-derived LPC in vivo. Lipidomic quantification showed reductions in linoleate-containing phospholipids (PL-18:2 decreased ~15% in 2aEpKO and ~13% in 2aKO) and a marked loss of TAG-18:2 (−79% in 2aEpKO). Inducible epidermal Mfsd2a loss produced transient dermatitis, defective desquamation, retained lamellar bodies, and keratinocyte activation, while MFSD2A knockdown in human keratinocytes reduced LPC-driven differentiation. Functional rescue experiments in vitro revealed that LPC-18:1 and LPC-18:2 promote keratinocyte differentiation in an MFSD2A-dependent manner, linking plasma LPC uptake to epidermal lipid homeostasis and differentiation.</p>
<p> Conclusion:<br />Mfsd2a mediates uptake of plasma-derived LPC (notably LPC-18:2) into suprabasal keratinocytes to maintain linoleate-containing phospholipid pools and support keratinocyte differentiation and normal desquamation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Mfsd2a is important for maintaining epidermal homeostasis</p>
<p> First author:<br />Wong BHH</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A</p>
<p> DOI:<br />10.1073/pnas.2531159123</p>
<p> Reference:<br />Wong BHH, Behmoaras J, Chua AWC, Galam DLA, Tan BC, Torta F, Chin CF, Mishra K, Ding M, Silver DL. Mfsd2a is important for maintaining epidermal homeostasis. Proc. Natl. Acad. Sci. U.S.A. 2026 Feb 19;123(8):e2531159123. https://doi.org/10.1073/pnas.2531159123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mfsd2a-lpc-epidermal-homeostasis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing MFSD2A expression in epidermal keratinocytes, inducible epidermis-specific and conventional Mfsd2a knockout phenotypes, epidermal lipidomics (18:2 species and DAG shifts), LightOx-LPC uptake demonstrating MFSD2A dependence, and MFSD2A-dependent differentiation of human keratin<br />- transcript topics: MFSD2A expression in differentiated epidermal keratinocytes; Inducible postnatal Mfsd2a deficiency and dermatitis; Conventional Mfsd2a knockout and desquamation defects; Epidermal lipidomics: PL-18:2 and TAG-18:2 reductions; DAG shifts; LPC uptake into epidermis using LightOx-LPC and MFSD2A dependence; MFSD2A-dependent differentiation of human keratinocytes with LPCs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MFSD2A is predominantly expressed in differentiated epidermal keratinocytes, enriched in the granular layer<br />- Inducible epidermis-specific Mfsd2a deficiency (2aEpKO) causes dermatitis, defective desquamation, hyperkeratosis, and keratinocyte activation<br />- Conventional Mfsd2a knockout (2aKO) shows desquamation defects with hyperkeratosis and parakeratosis<br />- Epidermal lipidome is altered by Mfsd2a deficiency, with reduced PL-18:2 and TAG-18:2 and reciprocal DAG changes<br />- Plasma-derived LPC uptake into epidermis is MFSD2A-dependent, demonstrated by LightOx-LPC uptake being absent in 2aEpKO/2aKO but present in controls<br />- LPC18:1 and LPC18:2 promote human primary keratinocyte differentiation in an MFSD2A-dependent manner</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Wong BHH et al., Proc. Natl. Acad. Sci. U.S.A - Mouse and human studies show the LPC transporter Mfsd2a enables plasma-derived LPC uptake into keratinocytes, preserving linoleate-rich phosphatidylcholine pools and promoting epidermal differentiation. Key terms: Mfsd2a, lysophosphatidylcholine, keratinocyte differentiation, linoleic acid, lipidomics.
 Study Highlights:Using epidermis-specific (2aEpKO) and conventional (2aKO) Mfsd2a-deficient mice, lineage tracing, untargeted shotgun lipidomics, LightOx-LPC uptake assays, and primary human keratinocyte cultures, the authors mapped Mfsd2a expression to suprabasal/granular keratinocytes and demonstrated Mfsd2a-dependent uptake of plasma-derived LPC in vivo. Lipidomic quantification showed reductions in linoleate-containing phospholipids (PL-18:2 decreased ~15% in 2aEpKO and ~13% in 2aKO) and a marked loss of TAG-18:2 (−79% in 2aEpKO). Inducible epidermal Mfsd2a loss produced transient dermatitis, defective desquamation, retained lamellar bodies, and keratinocyte activation, while MFSD2A knockdown in human keratinocytes reduced LPC-driven differentiation. Functional rescue experiments in vitro revealed that LPC-18:1 and LPC-18:2 promote keratinocyte differentiation in an MFSD2A-dependent manner, linking plasma LPC uptake to epidermal lipid homeostasis and differentiation.
 Conclusion:Mfsd2a mediates uptake of plasma-derived LPC (notably LPC-18:2) into suprabasal keratinocytes to maintain linoleate-containing phospholipid pools and support keratinocyte differentiation and normal desquamation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Mfsd2a is important for maintaining epidermal homeostasis
 First author:Wong BHH
 Journal:Proc. Natl. Acad. Sci. U.S.A
 DOI:10.1073/pnas.2531159123
 Reference:Wong BHH, Behmoaras J, Chua AWC, Galam DLA, Tan BC, Torta F, Chin CF, Mishra K, Ding M, Silver DL. Mfsd2a is important for maintaining epidermal homeostasis. Proc. Natl. Acad. Sci. U.S.A. 2026 Feb 19;123(8):e2531159123. https://doi.org/10.1073/pnas.2531159123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mfsd2a-lpc-epidermal-homeostasis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing MFSD2A expression in epidermal keratinocytes, inducible epidermis-specific and conventional Mfsd2a knockout phenotypes, epidermal lipidomics (18:2 species and DAG shifts), LightOx-LPC uptake demonstrating MFSD2A dependence, and MFSD2A-dependent differentiation of human keratin- transcript topics: MFSD2A expression in differentiated epidermal keratinocytes; Inducible postnatal Mfsd2a deficiency and dermatitis; Conventional Mfsd2a knockout and desquamation defects; Epidermal lipidomics: PL-18:2 and TAG-18:2 reductions; DAG shifts; LPC uptake into epidermis using LightOx-LPC and MFSD2A dependence; MFSD2A-dependent differentiation of human keratinocytes with LPCs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
M...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2388830/c1a-p6xp7-9jg0oo6jbq05-kbq0jq.png"></itunes:image>
                                                                            <itunes:duration>00:14:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[311: mtG3PDH (GPO1) loss in Drosophila impairs mitochondrial ATP/O, O2 consumption, and ROS]]>
                </title>
                <pubDate>Sun, 08 Mar 2026 07:18:38 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2386141</guid>
                                    <link>https://basebybase.castos.com/episodes/drosophila-mtg3pdh-gpo1</link>
                                <description>
                                            <![CDATA[<p>Herpe L et al., Proc. Natl. Acad. Sci. U.S.A - CRISPR knockout of Drosophila mtG3PDH (GPO1) reduces ATP production by ~60% and O2 consumption by ~33%, lowering mitochondrial efficiency and ROS emission. Key terms: mtG3PDH, GPO1, Drosophila melanogaster, mitochondrial efficiency, reactive oxygen species.</p>
<p> Study Highlights:<br />Using CRISPR/Cas9-generated GPO1 mutant Drosophila and isolated thoracic mitochondria, the authors combined enzymatic assays, ATP production and oxygen consumption measurements, and H2O2 emission assays to probe mtG3PDH function. Loss of mtG3PDH markedly reduced mtG3PDH enzymatic activity and drove a ~60% decrease in ATP production and ~33% decrease in O2 consumption, producing a pronounced drop in mitochondrial efficiency (ATP/O). mtG3PDH-linked ROS emission was also strongly reduced (~70%), reflecting diminished direct and reverse electron-transfer ROS generation. Functionally, GPO1 flies showed sharply reduced survival and severe climbing impairment, linking the bioenergetic defects to organismal outcomes.</p>
<p> Conclusion:<br />mtG3PDH is essential for mitochondrial bioenergetics and redox homeostasis in Drosophila, with GPO1 loss causing major decreases in ATP production, O2 consumption, mitochondrial efficiency, and mtG3PDH-linked ROS that correlate with reduced survival and locomotion.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />When alternative becomes essential: The role of mitochondrial glycerol-3-phosphate dehydrogenase</p>
<p> First author:<br />Herpe L</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A</p>
<p> DOI:<br />10.1073/pnas.2535701123</p>
<p> Reference:<br />Herpe L, Aminot M, Pichaud N. When alternative becomes essential: The role of mitochondrial glycerol-3-phosphate dehydrogenase. Proc. Natl. Acad. Sci. U.S.A. 2026;123(9):e2535701123. https://doi.org/10.1073/pnas.2535701123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/drosophila-mtg3pdh-gpo1</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections cover mtG3PDH function, CRISPR/Cas9 GPO1 knockout in Drosophila, thoracic mitochondria bioenergetics (ATP production, oxygen consumption, ATP/O), ROS production and RET, organismal outcomes (lifespan, climbing), and translational implications.<br />- transcript topics: mtG3PDH shuttle function and GPO1; CRISPR/Cas9 GPO1 knockout in Drosophila; thoracic mitochondria bioenergetics: ATP production; oxygen consumption and coupling efficiency (ATP/O); ROS production and reverse electron transfer; complex I independence and grid collapse</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- mtG3PDH knockout reduces ATP production by ~60%<br />- O2 consumption decreases by ~33%<br />- mitochondrial efficiency (ATP/O) is markedly reduced (uncoupling observed)<br />- mtG3PDH-linked ROS emission decreases by ~70%<br />- survival (median lifespan) drops from ~33 days to ~...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Herpe L et al., Proc. Natl. Acad. Sci. U.S.A - CRISPR knockout of Drosophila mtG3PDH (GPO1) reduces ATP production by ~60% and O2 consumption by ~33%, lowering mitochondrial efficiency and ROS emission. Key terms: mtG3PDH, GPO1, Drosophila melanogaster, mitochondrial efficiency, reactive oxygen species.
 Study Highlights:Using CRISPR/Cas9-generated GPO1 mutant Drosophila and isolated thoracic mitochondria, the authors combined enzymatic assays, ATP production and oxygen consumption measurements, and H2O2 emission assays to probe mtG3PDH function. Loss of mtG3PDH markedly reduced mtG3PDH enzymatic activity and drove a ~60% decrease in ATP production and ~33% decrease in O2 consumption, producing a pronounced drop in mitochondrial efficiency (ATP/O). mtG3PDH-linked ROS emission was also strongly reduced (~70%), reflecting diminished direct and reverse electron-transfer ROS generation. Functionally, GPO1 flies showed sharply reduced survival and severe climbing impairment, linking the bioenergetic defects to organismal outcomes.
 Conclusion:mtG3PDH is essential for mitochondrial bioenergetics and redox homeostasis in Drosophila, with GPO1 loss causing major decreases in ATP production, O2 consumption, mitochondrial efficiency, and mtG3PDH-linked ROS that correlate with reduced survival and locomotion.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:When alternative becomes essential: The role of mitochondrial glycerol-3-phosphate dehydrogenase
 First author:Herpe L
 Journal:Proc. Natl. Acad. Sci. U.S.A
 DOI:10.1073/pnas.2535701123
 Reference:Herpe L, Aminot M, Pichaud N. When alternative becomes essential: The role of mitochondrial glycerol-3-phosphate dehydrogenase. Proc. Natl. Acad. Sci. U.S.A. 2026;123(9):e2535701123. https://doi.org/10.1073/pnas.2535701123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/drosophila-mtg3pdh-gpo1
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections cover mtG3PDH function, CRISPR/Cas9 GPO1 knockout in Drosophila, thoracic mitochondria bioenergetics (ATP production, oxygen consumption, ATP/O), ROS production and RET, organismal outcomes (lifespan, climbing), and translational implications.- transcript topics: mtG3PDH shuttle function and GPO1; CRISPR/Cas9 GPO1 knockout in Drosophila; thoracic mitochondria bioenergetics: ATP production; oxygen consumption and coupling efficiency (ATP/O); ROS production and reverse electron transfer; complex I independence and grid collapse
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- mtG3PDH knockout reduces ATP production by ~60%- O2 consumption decreases by ~33%- mitochondrial efficiency (ATP/O) is markedly reduced (uncoupling observed)- mtG3PDH-linked ROS emission decreases by ~70%- survival (median lifespan) drops from ~33 days to ~...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[311: mtG3PDH (GPO1) loss in Drosophila impairs mitochondrial ATP/O, O2 consumption, and ROS]]>
                </itunes:title>
                                    <itunes:episode>311</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Herpe L et al., Proc. Natl. Acad. Sci. U.S.A - CRISPR knockout of Drosophila mtG3PDH (GPO1) reduces ATP production by ~60% and O2 consumption by ~33%, lowering mitochondrial efficiency and ROS emission. Key terms: mtG3PDH, GPO1, Drosophila melanogaster, mitochondrial efficiency, reactive oxygen species.</p>
<p> Study Highlights:<br />Using CRISPR/Cas9-generated GPO1 mutant Drosophila and isolated thoracic mitochondria, the authors combined enzymatic assays, ATP production and oxygen consumption measurements, and H2O2 emission assays to probe mtG3PDH function. Loss of mtG3PDH markedly reduced mtG3PDH enzymatic activity and drove a ~60% decrease in ATP production and ~33% decrease in O2 consumption, producing a pronounced drop in mitochondrial efficiency (ATP/O). mtG3PDH-linked ROS emission was also strongly reduced (~70%), reflecting diminished direct and reverse electron-transfer ROS generation. Functionally, GPO1 flies showed sharply reduced survival and severe climbing impairment, linking the bioenergetic defects to organismal outcomes.</p>
<p> Conclusion:<br />mtG3PDH is essential for mitochondrial bioenergetics and redox homeostasis in Drosophila, with GPO1 loss causing major decreases in ATP production, O2 consumption, mitochondrial efficiency, and mtG3PDH-linked ROS that correlate with reduced survival and locomotion.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />When alternative becomes essential: The role of mitochondrial glycerol-3-phosphate dehydrogenase</p>
<p> First author:<br />Herpe L</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A</p>
<p> DOI:<br />10.1073/pnas.2535701123</p>
<p> Reference:<br />Herpe L, Aminot M, Pichaud N. When alternative becomes essential: The role of mitochondrial glycerol-3-phosphate dehydrogenase. Proc. Natl. Acad. Sci. U.S.A. 2026;123(9):e2535701123. https://doi.org/10.1073/pnas.2535701123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/drosophila-mtg3pdh-gpo1</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections cover mtG3PDH function, CRISPR/Cas9 GPO1 knockout in Drosophila, thoracic mitochondria bioenergetics (ATP production, oxygen consumption, ATP/O), ROS production and RET, organismal outcomes (lifespan, climbing), and translational implications.<br />- transcript topics: mtG3PDH shuttle function and GPO1; CRISPR/Cas9 GPO1 knockout in Drosophila; thoracic mitochondria bioenergetics: ATP production; oxygen consumption and coupling efficiency (ATP/O); ROS production and reverse electron transfer; complex I independence and grid collapse</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- mtG3PDH knockout reduces ATP production by ~60%<br />- O2 consumption decreases by ~33%<br />- mitochondrial efficiency (ATP/O) is markedly reduced (uncoupling observed)<br />- mtG3PDH-linked ROS emission decreases by ~70%<br />- survival (median lifespan) drops from ~33 days to ~12 days in GPO1 mutants<br />- climbing performance declines to ~1% in mutants (vs ~68.5% in controls)</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Herpe L et al., Proc. Natl. Acad. Sci. U.S.A - CRISPR knockout of Drosophila mtG3PDH (GPO1) reduces ATP production by ~60% and O2 consumption by ~33%, lowering mitochondrial efficiency and ROS emission. Key terms: mtG3PDH, GPO1, Drosophila melanogaster, mitochondrial efficiency, reactive oxygen species.
 Study Highlights:Using CRISPR/Cas9-generated GPO1 mutant Drosophila and isolated thoracic mitochondria, the authors combined enzymatic assays, ATP production and oxygen consumption measurements, and H2O2 emission assays to probe mtG3PDH function. Loss of mtG3PDH markedly reduced mtG3PDH enzymatic activity and drove a ~60% decrease in ATP production and ~33% decrease in O2 consumption, producing a pronounced drop in mitochondrial efficiency (ATP/O). mtG3PDH-linked ROS emission was also strongly reduced (~70%), reflecting diminished direct and reverse electron-transfer ROS generation. Functionally, GPO1 flies showed sharply reduced survival and severe climbing impairment, linking the bioenergetic defects to organismal outcomes.
 Conclusion:mtG3PDH is essential for mitochondrial bioenergetics and redox homeostasis in Drosophila, with GPO1 loss causing major decreases in ATP production, O2 consumption, mitochondrial efficiency, and mtG3PDH-linked ROS that correlate with reduced survival and locomotion.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:When alternative becomes essential: The role of mitochondrial glycerol-3-phosphate dehydrogenase
 First author:Herpe L
 Journal:Proc. Natl. Acad. Sci. U.S.A
 DOI:10.1073/pnas.2535701123
 Reference:Herpe L, Aminot M, Pichaud N. When alternative becomes essential: The role of mitochondrial glycerol-3-phosphate dehydrogenase. Proc. Natl. Acad. Sci. U.S.A. 2026;123(9):e2535701123. https://doi.org/10.1073/pnas.2535701123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/drosophila-mtg3pdh-gpo1
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections cover mtG3PDH function, CRISPR/Cas9 GPO1 knockout in Drosophila, thoracic mitochondria bioenergetics (ATP production, oxygen consumption, ATP/O), ROS production and RET, organismal outcomes (lifespan, climbing), and translational implications.- transcript topics: mtG3PDH shuttle function and GPO1; CRISPR/Cas9 GPO1 knockout in Drosophila; thoracic mitochondria bioenergetics: ATP production; oxygen consumption and coupling efficiency (ATP/O); ROS production and reverse electron transfer; complex I independence and grid collapse
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- mtG3PDH knockout reduces ATP production by ~60%- O2 consumption decreases by ~33%- mitochondrial efficiency (ATP/O) is markedly reduced (uncoupling observed)- mtG3PDH-linked ROS emission decreases by ~70%- survival (median lifespan) drops from ~33 days to ~...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2386141/c1a-p6xp7-ndr4xx8nhg37-darhgp.png"></itunes:image>
                                                                            <itunes:duration>00:42:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[310: Infant gut microbiota restoration — maternal FMT, Bifidobacterium and Bacteroides recovery after C‑section]]>
                </title>
                <pubDate>Sat, 07 Mar 2026 11:27:27 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2385408</guid>
                                    <link>https://basebybase.castos.com/episodes/maternal-fmt-bifidobacterium-restoration</link>
                                <description>
                                            <![CDATA[<p>Korpela K et al., Gut Microbes - Review finds maternal fecal microbiota transplantation and targeted probiotics can restore Bifidobacterium and Bacteroides after C‑section or intrapartum antibiotics, with breastfeeding aiding recovery. Key terms: maternal fecal microbiota transplantation, C-section, Bifidobacterium, vaginal seeding, probiotics.</p>
<p> Study Highlights:<br />This review focuses on term infants, particularly C‑section and intrapartum antibiotic–exposed neonates, synthesizing cohort and intervention data using 16S rRNA gene amplicon sequencing and metagenomic approaches. Maternal fecal microbiota transplantation (maternal FMT) shifted C‑section infants’ gut communities to resemble vaginally born infants and uniquely restored Bacteroidaceae, while a Bifidobacterium–Lactobacillus–FOS supplement increased bifidobacteria; vaginal seeding did not normalize overall gut composition. The authors link restoration of key taxa to potential reductions in risks such as allergy and overweight and emphasize breastfeeding as an essential adjunct to restoration strategies.</p>
<p> Conclusion:<br />Evidence supports action to address early-life gut microbiota disruption: probiotics and maternal FMT show promising restorative effects, but optimal, scalable solutions and long-term immune outcomes remain to be established.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Infant gut microbiota restoration: state of the art</p>
<p> First author:<br />Korpela K</p>
<p> Journal:<br />Gut Microbes</p>
<p> DOI:<br />10.1080/19490976.2022.2118811</p>
<p> Reference:<br />Korpela K, de Vos WM. Infant gut microbiota restoration: state of the art. Gut Microbes. 2022;14(1):e2118811. https://doi.org/10.1080/19490976.2022.2118811</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/maternal-fmt-bifidobacterium-restoration</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing vertical transmission, HMOs and breast milk, birth-mode and antibiotic effects, restoration interventions (vaginal seeding, Lactobacillus probiotics, Bifidobacterium-Lactobacillus-FOS multispecies, maternal FMT), PCA-based analysis, preterm considerations, and long-term health<br />- transcript topics: Vertical transmission and HMOs feeding infant gut microbes; Birth mode and intrapartum antibiotic effects on microbiota; Microbiota restoration interventions: vaginal seeding, probiotics, multispecies probiotics, maternal FMT; PCA analysis as a measure of restoration efficacy; Bifidobacteriaceae and Bacteroidaceae dynamics across interventions; Preterm infant microbiota and NICU interventions</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Maternal FMT can restore CS-born infant gut microbiota toward vaginal births, with persistence at 1 and 3 months<br />- Bacteroidaceae restoration is achieved by maternal FMT; other interventions fail to...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Korpela K et al., Gut Microbes - Review finds maternal fecal microbiota transplantation and targeted probiotics can restore Bifidobacterium and Bacteroides after C‑section or intrapartum antibiotics, with breastfeeding aiding recovery. Key terms: maternal fecal microbiota transplantation, C-section, Bifidobacterium, vaginal seeding, probiotics.
 Study Highlights:This review focuses on term infants, particularly C‑section and intrapartum antibiotic–exposed neonates, synthesizing cohort and intervention data using 16S rRNA gene amplicon sequencing and metagenomic approaches. Maternal fecal microbiota transplantation (maternal FMT) shifted C‑section infants’ gut communities to resemble vaginally born infants and uniquely restored Bacteroidaceae, while a Bifidobacterium–Lactobacillus–FOS supplement increased bifidobacteria; vaginal seeding did not normalize overall gut composition. The authors link restoration of key taxa to potential reductions in risks such as allergy and overweight and emphasize breastfeeding as an essential adjunct to restoration strategies.
 Conclusion:Evidence supports action to address early-life gut microbiota disruption: probiotics and maternal FMT show promising restorative effects, but optimal, scalable solutions and long-term immune outcomes remain to be established.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Infant gut microbiota restoration: state of the art
 First author:Korpela K
 Journal:Gut Microbes
 DOI:10.1080/19490976.2022.2118811
 Reference:Korpela K, de Vos WM. Infant gut microbiota restoration: state of the art. Gut Microbes. 2022;14(1):e2118811. https://doi.org/10.1080/19490976.2022.2118811
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/maternal-fmt-bifidobacterium-restoration
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing vertical transmission, HMOs and breast milk, birth-mode and antibiotic effects, restoration interventions (vaginal seeding, Lactobacillus probiotics, Bifidobacterium-Lactobacillus-FOS multispecies, maternal FMT), PCA-based analysis, preterm considerations, and long-term health- transcript topics: Vertical transmission and HMOs feeding infant gut microbes; Birth mode and intrapartum antibiotic effects on microbiota; Microbiota restoration interventions: vaginal seeding, probiotics, multispecies probiotics, maternal FMT; PCA analysis as a measure of restoration efficacy; Bifidobacteriaceae and Bacteroidaceae dynamics across interventions; Preterm infant microbiota and NICU interventions
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Maternal FMT can restore CS-born infant gut microbiota toward vaginal births, with persistence at 1 and 3 months- Bacteroidaceae restoration is achieved by maternal FMT; other interventions fail to...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[310: Infant gut microbiota restoration — maternal FMT, Bifidobacterium and Bacteroides recovery after C‑section]]>
                </itunes:title>
                                    <itunes:episode>310</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Korpela K et al., Gut Microbes - Review finds maternal fecal microbiota transplantation and targeted probiotics can restore Bifidobacterium and Bacteroides after C‑section or intrapartum antibiotics, with breastfeeding aiding recovery. Key terms: maternal fecal microbiota transplantation, C-section, Bifidobacterium, vaginal seeding, probiotics.</p>
<p> Study Highlights:<br />This review focuses on term infants, particularly C‑section and intrapartum antibiotic–exposed neonates, synthesizing cohort and intervention data using 16S rRNA gene amplicon sequencing and metagenomic approaches. Maternal fecal microbiota transplantation (maternal FMT) shifted C‑section infants’ gut communities to resemble vaginally born infants and uniquely restored Bacteroidaceae, while a Bifidobacterium–Lactobacillus–FOS supplement increased bifidobacteria; vaginal seeding did not normalize overall gut composition. The authors link restoration of key taxa to potential reductions in risks such as allergy and overweight and emphasize breastfeeding as an essential adjunct to restoration strategies.</p>
<p> Conclusion:<br />Evidence supports action to address early-life gut microbiota disruption: probiotics and maternal FMT show promising restorative effects, but optimal, scalable solutions and long-term immune outcomes remain to be established.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Infant gut microbiota restoration: state of the art</p>
<p> First author:<br />Korpela K</p>
<p> Journal:<br />Gut Microbes</p>
<p> DOI:<br />10.1080/19490976.2022.2118811</p>
<p> Reference:<br />Korpela K, de Vos WM. Infant gut microbiota restoration: state of the art. Gut Microbes. 2022;14(1):e2118811. https://doi.org/10.1080/19490976.2022.2118811</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/maternal-fmt-bifidobacterium-restoration</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing vertical transmission, HMOs and breast milk, birth-mode and antibiotic effects, restoration interventions (vaginal seeding, Lactobacillus probiotics, Bifidobacterium-Lactobacillus-FOS multispecies, maternal FMT), PCA-based analysis, preterm considerations, and long-term health<br />- transcript topics: Vertical transmission and HMOs feeding infant gut microbes; Birth mode and intrapartum antibiotic effects on microbiota; Microbiota restoration interventions: vaginal seeding, probiotics, multispecies probiotics, maternal FMT; PCA analysis as a measure of restoration efficacy; Bifidobacteriaceae and Bacteroidaceae dynamics across interventions; Preterm infant microbiota and NICU interventions</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Maternal FMT can restore CS-born infant gut microbiota toward vaginal births, with persistence at 1 and 3 months<br />- Bacteroidaceae restoration is achieved by maternal FMT; other interventions fail to restore this family<br />- Vaginal seeding does not restore gut microbiota composition (fails to move CS-born infants toward vaginal baseline)<br />- Lactobacillus-only probiotic shows minimal to no restoration of the gut microbiota in CS-born infants<br />- Multispecies Lactobacillus–Bifidobacterium–FOS probiotic partially restores gut microbiota toward vaginal composition; benefits observed in larger RCT with reduced IgE-allergy risk<br />- Breastfeeding enhances probiotic/restoration effects; HMOs fuel infant-adapted microbes and are essential for full restoration</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2385408/c1e-dp2o9aokn9wc0z02d-kpjrx8w5hj27-cpatog.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2385408&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fmaternal-fmt-bifidobacterium-restoration&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=a3561f129b1a7c375aded680cd23a990d8a4bdf69146b935ba4b163ea3be593b" length="70826733"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Korpela K et al., Gut Microbes - Review finds maternal fecal microbiota transplantation and targeted probiotics can restore Bifidobacterium and Bacteroides after C‑section or intrapartum antibiotics, with breastfeeding aiding recovery. Key terms: maternal fecal microbiota transplantation, C-section, Bifidobacterium, vaginal seeding, probiotics.
 Study Highlights:This review focuses on term infants, particularly C‑section and intrapartum antibiotic–exposed neonates, synthesizing cohort and intervention data using 16S rRNA gene amplicon sequencing and metagenomic approaches. Maternal fecal microbiota transplantation (maternal FMT) shifted C‑section infants’ gut communities to resemble vaginally born infants and uniquely restored Bacteroidaceae, while a Bifidobacterium–Lactobacillus–FOS supplement increased bifidobacteria; vaginal seeding did not normalize overall gut composition. The authors link restoration of key taxa to potential reductions in risks such as allergy and overweight and emphasize breastfeeding as an essential adjunct to restoration strategies.
 Conclusion:Evidence supports action to address early-life gut microbiota disruption: probiotics and maternal FMT show promising restorative effects, but optimal, scalable solutions and long-term immune outcomes remain to be established.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Infant gut microbiota restoration: state of the art
 First author:Korpela K
 Journal:Gut Microbes
 DOI:10.1080/19490976.2022.2118811
 Reference:Korpela K, de Vos WM. Infant gut microbiota restoration: state of the art. Gut Microbes. 2022;14(1):e2118811. https://doi.org/10.1080/19490976.2022.2118811
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/maternal-fmt-bifidobacterium-restoration
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing vertical transmission, HMOs and breast milk, birth-mode and antibiotic effects, restoration interventions (vaginal seeding, Lactobacillus probiotics, Bifidobacterium-Lactobacillus-FOS multispecies, maternal FMT), PCA-based analysis, preterm considerations, and long-term health- transcript topics: Vertical transmission and HMOs feeding infant gut microbes; Birth mode and intrapartum antibiotic effects on microbiota; Microbiota restoration interventions: vaginal seeding, probiotics, multispecies probiotics, maternal FMT; PCA analysis as a measure of restoration efficacy; Bifidobacteriaceae and Bacteroidaceae dynamics across interventions; Preterm infant microbiota and NICU interventions
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Maternal FMT can restore CS-born infant gut microbiota toward vaginal births, with persistence at 1 and 3 months- Bacteroidaceae restoration is achieved by maternal FMT; other interventions fail to...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2385408/c1a-p6xp7-8d89xxx6sq70-5zlgbn.png"></itunes:image>
                                                                            <itunes:duration>00:49:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[309: LASI-DAD 2,680-sample WGS panel boosts LD maps, imputation, and PRS in Indian genomes]]>
                </title>
                <pubDate>Fri, 06 Mar 2026 06:17:45 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2384314</guid>
                                    <link>https://basebybase.castos.com/episodes/lasi-dad-india-reference-panel</link>
                                <description>
                                            <![CDATA[<p>Li Z et al., Human Genetics and Genomics Advances - LASI-DAD 30× whole-genome sequencing of 2,680 Indian participants produced a 69.5M-variant LD panel that improves genotype imputation accuracy and PRS performance for Indian populations. Key terms: LASI-DAD, linkage disequilibrium, genotype imputation, whole-genome sequencing, polygenic risk scores.</p>
<p> Study Highlights:<br />Using 30× WGS of 2,680 LASI-DAD participants, the authors constructed an LD lookup panel (69.5 million variants), phased with Eagle2.4, and identified LD structure with LDetect and Big-LD. They compared regional varLD to 1000G super-populations and evaluated imputation with Minimac4 and meta-imputation against TOPMed and GAsP. LASI-DAD increased imputation accuracy (aggregated r2) by a mean 38% versus TOPMed and 27% versus GAsP across allele frequencies and improved PRS predictive performance by 2.1%–35.1% across traits and studies. Finer-scale stronger LD and regional LD differences in LASI-DAD translate into more accurate LD estimates and better imputation and PRS transferability for Indian sub-populations.</p>
<p> Conclusion:<br />LASI-DAD is the largest nationally representative Indian WGS reference panel to date and it improves LD estimation, genotype imputation accuracy, and PRS construction for Indian and South Asian populations.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India</p>
<p> First author:<br />Li Z</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100579</p>
<p> Reference:<br />Li Z, Zhao W, Zhou X, Leung YY, Schellenberg GD, Wang L-S, Schönherr S, Forer L, Fuchsberger C, Dey S, Lee J, Smith JA, Dey AB, Kardia SLR. A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India. Human Genetics and Genomics Advances. 7 (2026) 100579. https://doi.org/10.1016/j.xhgg.2026.100579.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/lasi-dad-india-reference-panel</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of the transcript’s scientific content covered the LASI-DAD cohort design and sequencing depth; LD/imputation methodology (LD blocks, LDetect/Big-LD, varLD); LD panel variant counts; subpopulation structure (ANI/ASI) and PRS transferability; imputation performance and meta-imputation; and data avai<br />- transcript topics: LASI-DAD cohort design and 30× whole-genome sequencing; LD reference panel construction and variant counts (69.5 million) and comparisons; LD blocks and varLD analyses across populations; LASI-DAD sub-populations by ANI percentage and geographic cline; PRS transferability and cross-population performance; Imputation performance and meta-imputation across reference panels</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Li Z et al., Human Genetics and Genomics Advances - LASI-DAD 30× whole-genome sequencing of 2,680 Indian participants produced a 69.5M-variant LD panel that improves genotype imputation accuracy and PRS performance for Indian populations. Key terms: LASI-DAD, linkage disequilibrium, genotype imputation, whole-genome sequencing, polygenic risk scores.
 Study Highlights:Using 30× WGS of 2,680 LASI-DAD participants, the authors constructed an LD lookup panel (69.5 million variants), phased with Eagle2.4, and identified LD structure with LDetect and Big-LD. They compared regional varLD to 1000G super-populations and evaluated imputation with Minimac4 and meta-imputation against TOPMed and GAsP. LASI-DAD increased imputation accuracy (aggregated r2) by a mean 38% versus TOPMed and 27% versus GAsP across allele frequencies and improved PRS predictive performance by 2.1%–35.1% across traits and studies. Finer-scale stronger LD and regional LD differences in LASI-DAD translate into more accurate LD estimates and better imputation and PRS transferability for Indian sub-populations.
 Conclusion:LASI-DAD is the largest nationally representative Indian WGS reference panel to date and it improves LD estimation, genotype imputation accuracy, and PRS construction for Indian and South Asian populations.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India
 First author:Li Z
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100579
 Reference:Li Z, Zhao W, Zhou X, Leung YY, Schellenberg GD, Wang L-S, Schönherr S, Forer L, Fuchsberger C, Dey S, Lee J, Smith JA, Dey AB, Kardia SLR. A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India. Human Genetics and Genomics Advances. 7 (2026) 100579. https://doi.org/10.1016/j.xhgg.2026.100579.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/lasi-dad-india-reference-panel
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of the transcript’s scientific content covered the LASI-DAD cohort design and sequencing depth; LD/imputation methodology (LD blocks, LDetect/Big-LD, varLD); LD panel variant counts; subpopulation structure (ANI/ASI) and PRS transferability; imputation performance and meta-imputation; and data avai- transcript topics: LASI-DAD cohort design and 30× whole-genome sequencing; LD reference panel construction and variant counts (69.5 million) and comparisons; LD blocks and varLD analyses across populations; LASI-DAD sub-populations by ANI percentage and geographic cline; PRS transferability and cross-population performance; Imputation performance and meta-imputation across reference panels
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[309: LASI-DAD 2,680-sample WGS panel boosts LD maps, imputation, and PRS in Indian genomes]]>
                </itunes:title>
                                    <itunes:episode>309</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Li Z et al., Human Genetics and Genomics Advances - LASI-DAD 30× whole-genome sequencing of 2,680 Indian participants produced a 69.5M-variant LD panel that improves genotype imputation accuracy and PRS performance for Indian populations. Key terms: LASI-DAD, linkage disequilibrium, genotype imputation, whole-genome sequencing, polygenic risk scores.</p>
<p> Study Highlights:<br />Using 30× WGS of 2,680 LASI-DAD participants, the authors constructed an LD lookup panel (69.5 million variants), phased with Eagle2.4, and identified LD structure with LDetect and Big-LD. They compared regional varLD to 1000G super-populations and evaluated imputation with Minimac4 and meta-imputation against TOPMed and GAsP. LASI-DAD increased imputation accuracy (aggregated r2) by a mean 38% versus TOPMed and 27% versus GAsP across allele frequencies and improved PRS predictive performance by 2.1%–35.1% across traits and studies. Finer-scale stronger LD and regional LD differences in LASI-DAD translate into more accurate LD estimates and better imputation and PRS transferability for Indian sub-populations.</p>
<p> Conclusion:<br />LASI-DAD is the largest nationally representative Indian WGS reference panel to date and it improves LD estimation, genotype imputation accuracy, and PRS construction for Indian and South Asian populations.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India</p>
<p> First author:<br />Li Z</p>
<p> Journal:<br />Human Genetics and Genomics Advances</p>
<p> DOI:<br />10.1016/j.xhgg.2026.100579</p>
<p> Reference:<br />Li Z, Zhao W, Zhou X, Leung YY, Schellenberg GD, Wang L-S, Schönherr S, Forer L, Fuchsberger C, Dey S, Lee J, Smith JA, Dey AB, Kardia SLR. A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India. Human Genetics and Genomics Advances. 7 (2026) 100579. https://doi.org/10.1016/j.xhgg.2026.100579.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/lasi-dad-india-reference-panel</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of the transcript’s scientific content covered the LASI-DAD cohort design and sequencing depth; LD/imputation methodology (LD blocks, LDetect/Big-LD, varLD); LD panel variant counts; subpopulation structure (ANI/ASI) and PRS transferability; imputation performance and meta-imputation; and data avai<br />- transcript topics: LASI-DAD cohort design and 30× whole-genome sequencing; LD reference panel construction and variant counts (69.5 million) and comparisons; LD blocks and varLD analyses across populations; LASI-DAD sub-populations by ANI percentage and geographic cline; PRS transferability and cross-population performance; Imputation performance and meta-imputation across reference panels</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- LASI-DAD WGS sample size = 2,680 individuals<br />- Sequencing depth = 30×<br />- LD reference panel variant count = 69.5 million<br />- Imputation gains: mean aggregated r2 improvements = 38% versus TOPMed and 27% versus Genome Asia Pilot (GAsP)<br />- PRS predictive performance improvement = 2.1%–35.1% across traits and studies<br />- Rare variant imputation: 61,843,011 variants imputed</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Li Z et al., Human Genetics and Genomics Advances - LASI-DAD 30× whole-genome sequencing of 2,680 Indian participants produced a 69.5M-variant LD panel that improves genotype imputation accuracy and PRS performance for Indian populations. Key terms: LASI-DAD, linkage disequilibrium, genotype imputation, whole-genome sequencing, polygenic risk scores.
 Study Highlights:Using 30× WGS of 2,680 LASI-DAD participants, the authors constructed an LD lookup panel (69.5 million variants), phased with Eagle2.4, and identified LD structure with LDetect and Big-LD. They compared regional varLD to 1000G super-populations and evaluated imputation with Minimac4 and meta-imputation against TOPMed and GAsP. LASI-DAD increased imputation accuracy (aggregated r2) by a mean 38% versus TOPMed and 27% versus GAsP across allele frequencies and improved PRS predictive performance by 2.1%–35.1% across traits and studies. Finer-scale stronger LD and regional LD differences in LASI-DAD translate into more accurate LD estimates and better imputation and PRS transferability for Indian sub-populations.
 Conclusion:LASI-DAD is the largest nationally representative Indian WGS reference panel to date and it improves LD estimation, genotype imputation accuracy, and PRS construction for Indian and South Asian populations.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India
 First author:Li Z
 Journal:Human Genetics and Genomics Advances
 DOI:10.1016/j.xhgg.2026.100579
 Reference:Li Z, Zhao W, Zhou X, Leung YY, Schellenberg GD, Wang L-S, Schönherr S, Forer L, Fuchsberger C, Dey S, Lee J, Smith JA, Dey AB, Kardia SLR. A reference panel for linkage disequilibrium and genotype imputation using whole-genome sequencing data from 2,680 participants across India. Human Genetics and Genomics Advances. 7 (2026) 100579. https://doi.org/10.1016/j.xhgg.2026.100579.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/lasi-dad-india-reference-panel
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of the transcript’s scientific content covered the LASI-DAD cohort design and sequencing depth; LD/imputation methodology (LD blocks, LDetect/Big-LD, varLD); LD panel variant counts; subpopulation structure (ANI/ASI) and PRS transferability; imputation performance and meta-imputation; and data avai- transcript topics: LASI-DAD cohort design and 30× whole-genome sequencing; LD reference panel construction and variant counts (69.5 million) and comparisons; LD blocks and varLD analyses across populations; LASI-DAD sub-populations by ANI percentage and geographic cline; PRS transferability and cross-population performance; Imputation performance and meta-imputation across reference panels
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2384314/c1a-p6xp7-v6vzggggix9p-vnglwz.png"></itunes:image>
                                                                            <itunes:duration>00:23:42</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[308: PANDORA-seq reveals conserved rsRNA length shift and tsRNA/rsRNA aging cliff in mouse and human sperm]]>
                </title>
                <pubDate>Thu, 05 Mar 2026 05:52:10 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2383337</guid>
                                    <link>https://basebybase.castos.com/episodes/sperm-rsrna-length-shift</link>
                                <description>
                                            <![CDATA[<p>Shi J et al., The EMBO Journal, doi:10.1038/s44318-025-00687-8 - PANDORA-seq profiling of mouse and human sperm heads identifies a conserved rsRNA length shift with age and a tsRNA/rsRNA 'aging cliff' that reprograms embryonic transcripts. Key terms: sperm sncRNA, rsRNA length shift, PANDORA-seq, aging cliff, tRNA-derived small RNA.</p>
<p> Study Highlights:<br />Using PANDORA-seq on C57BL/6J mouse sperm (intact and de-membranated heads) across five age groups and two independent human sperm cohorts, the authors identify a sharp tsRNA/rsRNA "aging cliff" in mice between 50–70 weeks and a head-specific rsRNA length shift. PANDORA-seq overcomes modification-induced detection bias to reveal increases in longer rsRNAs and decreases in shorter rsRNAs, particularly from 28S- and 18S-rRNAs, with parallel trends in human cohorts. Mitochondrial tsRNAs/rsRNAs in sperm heads, although low abundance, covary with genomic sncRNAs and help distinguish age groups. Transfection of age-mimicking tsRNA/rsRNA cocktails into mouse embryonic stem cells reprograms gene expression, upregulating metabolic and neurodegeneration-related pathways, providing a functional link to offspring phenotypes.</p>
<p> Conclusion:<br />PANDORA-seq uncovers a conserved, sperm head–specific rsRNA length shift and a tsRNA/rsRNA aging cliff in mice and humans, and age-mimicking sncRNA combinations can alter embryonic transcriptomes linked to metabolic and neurodegenerative pathways.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Conserved shifts in sperm small non-coding RNA profiles during mouse and human aging</p>
<p> First author:<br />Shi J</p>
<p> Journal:<br />The EMBO Journal, doi:10.1038/s44318-025-00687-8</p>
<p> DOI:<br />10.1038/s44318-025-00687-8</p>
<p> Reference:<br />Shi J, Zhang X, Cai C, Liu S, Yu J, James ER, et al. Conserved shifts in sperm small non-coding RNA profiles during mouse and human aging. The EMBO Journal. 2026;45(4):1362–1380. https://doi.org/10.1038/s44318-025-00687-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/sperm-rsrna-length-shift</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the transcript segments describing (1) the aging cliff in mouse sperm tsRNA/rsRNA profiles, (2) rsRNA length shifts in sperm heads, (3) cross-species conservation in humans, (4) mitochondrial sncRNA patterns, (5) functional RNA transfection experiments in mouse embryonic stem cells, (6) the PANDOR<br />- transcript topics: PANDORA-seq methodology; mouse sperm aging cliff at 50-70 weeks; rsRNA length shift in mouse sperm heads (28S/18S origin); mitochondrial tsRNA/rsRNA patterns in sperm heads; conservation of rsRNA length shift in human sperm cohorts; functional reprogramming of mESC transcriptomes by age-mimicking sncRNA cocktails</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Aging cliff between 50 and 70 weeks in mouse sp...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Shi J et al., The EMBO Journal, doi:10.1038/s44318-025-00687-8 - PANDORA-seq profiling of mouse and human sperm heads identifies a conserved rsRNA length shift with age and a tsRNA/rsRNA 'aging cliff' that reprograms embryonic transcripts. Key terms: sperm sncRNA, rsRNA length shift, PANDORA-seq, aging cliff, tRNA-derived small RNA.
 Study Highlights:Using PANDORA-seq on C57BL/6J mouse sperm (intact and de-membranated heads) across five age groups and two independent human sperm cohorts, the authors identify a sharp tsRNA/rsRNA "aging cliff" in mice between 50–70 weeks and a head-specific rsRNA length shift. PANDORA-seq overcomes modification-induced detection bias to reveal increases in longer rsRNAs and decreases in shorter rsRNAs, particularly from 28S- and 18S-rRNAs, with parallel trends in human cohorts. Mitochondrial tsRNAs/rsRNAs in sperm heads, although low abundance, covary with genomic sncRNAs and help distinguish age groups. Transfection of age-mimicking tsRNA/rsRNA cocktails into mouse embryonic stem cells reprograms gene expression, upregulating metabolic and neurodegeneration-related pathways, providing a functional link to offspring phenotypes.
 Conclusion:PANDORA-seq uncovers a conserved, sperm head–specific rsRNA length shift and a tsRNA/rsRNA aging cliff in mice and humans, and age-mimicking sncRNA combinations can alter embryonic transcriptomes linked to metabolic and neurodegenerative pathways.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Conserved shifts in sperm small non-coding RNA profiles during mouse and human aging
 First author:Shi J
 Journal:The EMBO Journal, doi:10.1038/s44318-025-00687-8
 DOI:10.1038/s44318-025-00687-8
 Reference:Shi J, Zhang X, Cai C, Liu S, Yu J, James ER, et al. Conserved shifts in sperm small non-coding RNA profiles during mouse and human aging. The EMBO Journal. 2026;45(4):1362–1380. https://doi.org/10.1038/s44318-025-00687-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/sperm-rsrna-length-shift
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the transcript segments describing (1) the aging cliff in mouse sperm tsRNA/rsRNA profiles, (2) rsRNA length shifts in sperm heads, (3) cross-species conservation in humans, (4) mitochondrial sncRNA patterns, (5) functional RNA transfection experiments in mouse embryonic stem cells, (6) the PANDOR- transcript topics: PANDORA-seq methodology; mouse sperm aging cliff at 50-70 weeks; rsRNA length shift in mouse sperm heads (28S/18S origin); mitochondrial tsRNA/rsRNA patterns in sperm heads; conservation of rsRNA length shift in human sperm cohorts; functional reprogramming of mESC transcriptomes by age-mimicking sncRNA cocktails
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Aging cliff between 50 and 70 weeks in mouse sp...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[308: PANDORA-seq reveals conserved rsRNA length shift and tsRNA/rsRNA aging cliff in mouse and human sperm]]>
                </itunes:title>
                                    <itunes:episode>308</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Shi J et al., The EMBO Journal, doi:10.1038/s44318-025-00687-8 - PANDORA-seq profiling of mouse and human sperm heads identifies a conserved rsRNA length shift with age and a tsRNA/rsRNA 'aging cliff' that reprograms embryonic transcripts. Key terms: sperm sncRNA, rsRNA length shift, PANDORA-seq, aging cliff, tRNA-derived small RNA.</p>
<p> Study Highlights:<br />Using PANDORA-seq on C57BL/6J mouse sperm (intact and de-membranated heads) across five age groups and two independent human sperm cohorts, the authors identify a sharp tsRNA/rsRNA "aging cliff" in mice between 50–70 weeks and a head-specific rsRNA length shift. PANDORA-seq overcomes modification-induced detection bias to reveal increases in longer rsRNAs and decreases in shorter rsRNAs, particularly from 28S- and 18S-rRNAs, with parallel trends in human cohorts. Mitochondrial tsRNAs/rsRNAs in sperm heads, although low abundance, covary with genomic sncRNAs and help distinguish age groups. Transfection of age-mimicking tsRNA/rsRNA cocktails into mouse embryonic stem cells reprograms gene expression, upregulating metabolic and neurodegeneration-related pathways, providing a functional link to offspring phenotypes.</p>
<p> Conclusion:<br />PANDORA-seq uncovers a conserved, sperm head–specific rsRNA length shift and a tsRNA/rsRNA aging cliff in mice and humans, and age-mimicking sncRNA combinations can alter embryonic transcriptomes linked to metabolic and neurodegenerative pathways.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Conserved shifts in sperm small non-coding RNA profiles during mouse and human aging</p>
<p> First author:<br />Shi J</p>
<p> Journal:<br />The EMBO Journal, doi:10.1038/s44318-025-00687-8</p>
<p> DOI:<br />10.1038/s44318-025-00687-8</p>
<p> Reference:<br />Shi J, Zhang X, Cai C, Liu S, Yu J, James ER, et al. Conserved shifts in sperm small non-coding RNA profiles during mouse and human aging. The EMBO Journal. 2026;45(4):1362–1380. https://doi.org/10.1038/s44318-025-00687-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/sperm-rsrna-length-shift</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the transcript segments describing (1) the aging cliff in mouse sperm tsRNA/rsRNA profiles, (2) rsRNA length shifts in sperm heads, (3) cross-species conservation in humans, (4) mitochondrial sncRNA patterns, (5) functional RNA transfection experiments in mouse embryonic stem cells, (6) the PANDOR<br />- transcript topics: PANDORA-seq methodology; mouse sperm aging cliff at 50-70 weeks; rsRNA length shift in mouse sperm heads (28S/18S origin); mitochondrial tsRNA/rsRNA patterns in sperm heads; conservation of rsRNA length shift in human sperm cohorts; functional reprogramming of mESC transcriptomes by age-mimicking sncRNA cocktails</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Aging cliff between 50 and 70 weeks in mouse sperm sncRNA profiles detected by PANDORA-seq.<br />- Sperm-head rsRNAs show an age-related length shift: longer rsRNAs increase and shorter rsRNAs decrease, especially from 28S- and 18S-derived rsRNAs.<br />- Conserved rsRNA length shift observed in humans across two independent cohorts (longitudinal and cross-sectional).<br />- Mitochondrial rsRNAs/tsRNAs detected in de-membranated sperm heads co-vary with genomic sncRNA aging patterns.<br />- Age-mimicking tsRNA/rsRNA cocktails transfected into mouse embryonic stem cells reprogram transcriptomes toward metabolic and neurodegeneration pathways.<br />- Pandora-seq overcomes RNA modification-induced detection bias to reveal previously undetectable sncRNA species.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Shi J et al., The EMBO Journal, doi:10.1038/s44318-025-00687-8 - PANDORA-seq profiling of mouse and human sperm heads identifies a conserved rsRNA length shift with age and a tsRNA/rsRNA 'aging cliff' that reprograms embryonic transcripts. Key terms: sperm sncRNA, rsRNA length shift, PANDORA-seq, aging cliff, tRNA-derived small RNA.
 Study Highlights:Using PANDORA-seq on C57BL/6J mouse sperm (intact and de-membranated heads) across five age groups and two independent human sperm cohorts, the authors identify a sharp tsRNA/rsRNA "aging cliff" in mice between 50–70 weeks and a head-specific rsRNA length shift. PANDORA-seq overcomes modification-induced detection bias to reveal increases in longer rsRNAs and decreases in shorter rsRNAs, particularly from 28S- and 18S-rRNAs, with parallel trends in human cohorts. Mitochondrial tsRNAs/rsRNAs in sperm heads, although low abundance, covary with genomic sncRNAs and help distinguish age groups. Transfection of age-mimicking tsRNA/rsRNA cocktails into mouse embryonic stem cells reprograms gene expression, upregulating metabolic and neurodegeneration-related pathways, providing a functional link to offspring phenotypes.
 Conclusion:PANDORA-seq uncovers a conserved, sperm head–specific rsRNA length shift and a tsRNA/rsRNA aging cliff in mice and humans, and age-mimicking sncRNA combinations can alter embryonic transcriptomes linked to metabolic and neurodegenerative pathways.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Conserved shifts in sperm small non-coding RNA profiles during mouse and human aging
 First author:Shi J
 Journal:The EMBO Journal, doi:10.1038/s44318-025-00687-8
 DOI:10.1038/s44318-025-00687-8
 Reference:Shi J, Zhang X, Cai C, Liu S, Yu J, James ER, et al. Conserved shifts in sperm small non-coding RNA profiles during mouse and human aging. The EMBO Journal. 2026;45(4):1362–1380. https://doi.org/10.1038/s44318-025-00687-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/sperm-rsrna-length-shift
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the transcript segments describing (1) the aging cliff in mouse sperm tsRNA/rsRNA profiles, (2) rsRNA length shifts in sperm heads, (3) cross-species conservation in humans, (4) mitochondrial sncRNA patterns, (5) functional RNA transfection experiments in mouse embryonic stem cells, (6) the PANDOR- transcript topics: PANDORA-seq methodology; mouse sperm aging cliff at 50-70 weeks; rsRNA length shift in mouse sperm heads (28S/18S origin); mitochondrial tsRNA/rsRNA patterns in sperm heads; conservation of rsRNA length shift in human sperm cohorts; functional reprogramming of mESC transcriptomes by age-mimicking sncRNA cocktails
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Aging cliff between 50 and 70 weeks in mouse sp...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2383337/c1a-p6xp7-mk91ddd7cz0k-lxn0vm.png"></itunes:image>
                                                                            <itunes:duration>00:22:25</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[307: SNIPE membrane nuclease cleaves phage λ DNA during ManYZ-mediated genome injection in Escherichia coli]]>
                </title>
                <pubDate>Wed, 04 Mar 2026 05:31:22 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2382471</guid>
                                    <link>https://basebybase.castos.com/episodes/snipe-membrane-nuclease-phage-injection</link>
                                <description>
                                            <![CDATA[<p>Saxton DS et al., Nature, doi:10.1038/s41586-026-10207-1 - In E. coli, the membrane-bound nuclease SNIPE directly cleaves incoming phage λ DNA during genome injection, blocking infection via ManYZ and tape-measure protein interactions. Key terms: SNIPE, GIY-YIG nuclease, lambda phage, ManYZ, tape measure protein.</p>
<p> Study Highlights:<br />In Escherichia coli, the membrane-anchored protein SNIPE was shown to block phage λ by directly cleaving DNA during genome injection. The authors combined radiolabelled 32P phage DNA assays, time-lapse CFP-ParB/ParS microscopy, TurboID proximity labelling and pBPA crosslinking to map SNIPE localization and interactions. They report that membrane-localized SNIPE requires a DUF4041 domain and a GIY-YIG nuclease domain to generate DNA fragments during injection, reducing CFP-ParB puncta ~30-fold and producing a smear of 32P-labelled fragments; an E414A nuclease mutant abolished activity. Functionally, SNIPE prevents λ replication and cell lysis and provides broad defence against many siphoviruses via interactions with ManYZ and phage tape-measure proteins.</p>
<p> Conclusion:<br />SNIPE is a membrane-localized bacterial defence protein that associates with ManYZ and phage tape-measure proteins to directly cleave incoming phage DNA during genome injection, thereby blocking infection.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A membrane-bound nuclease directly cleaves phage DNA during genome injection</p>
<p> First author:<br />Saxton DS</p>
<p> Journal:<br />Nature, doi:10.1038/s41586-026-10207-1</p>
<p> DOI:<br />10.1038/s41586-026-10207-1</p>
<p> Reference:<br />Saxton DS, DeWeirdt PC, Doering CR, Roney IJ &amp; Laub MT. A membrane-bound nuclease directly cleaves phage DNA during genome injection. Nature. 2026. https://doi.org/10.1038/s41586-026-10207-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/snipe-membrane-nuclease-phage-injection</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering SNIPE architecture and membrane localization, autoinhibition, phage DNA cleavage during genome injection (Hershey–Chase style), interactions with ManYZ andTape-measure proteins (TMP), proximity labelling, Bas14 mutation experiments, and SNIPE homologues/evolution.<br />- transcript topics: SNIPE membrane localization and domain architecture; Autoinhibition and self-DNA protection at the membrane; Cleavage of phage DNA during genome injection and Hershey–Chase-like evidence; Interaction with ManYZ and phage tape-measure protein during infection; TurboID proximity labelling findings for ManYZ and TMP interactions; Broad siphovirus defense and Bas14 mutation findings</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- SNIPE is a membrane-anchored protein with an N-terminal transmembrane domain, a DUF4041 domain in the middle, and a GIY-YIG nuclease domain at the C...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Saxton DS et al., Nature, doi:10.1038/s41586-026-10207-1 - In E. coli, the membrane-bound nuclease SNIPE directly cleaves incoming phage λ DNA during genome injection, blocking infection via ManYZ and tape-measure protein interactions. Key terms: SNIPE, GIY-YIG nuclease, lambda phage, ManYZ, tape measure protein.
 Study Highlights:In Escherichia coli, the membrane-anchored protein SNIPE was shown to block phage λ by directly cleaving DNA during genome injection. The authors combined radiolabelled 32P phage DNA assays, time-lapse CFP-ParB/ParS microscopy, TurboID proximity labelling and pBPA crosslinking to map SNIPE localization and interactions. They report that membrane-localized SNIPE requires a DUF4041 domain and a GIY-YIG nuclease domain to generate DNA fragments during injection, reducing CFP-ParB puncta ~30-fold and producing a smear of 32P-labelled fragments; an E414A nuclease mutant abolished activity. Functionally, SNIPE prevents λ replication and cell lysis and provides broad defence against many siphoviruses via interactions with ManYZ and phage tape-measure proteins.
 Conclusion:SNIPE is a membrane-localized bacterial defence protein that associates with ManYZ and phage tape-measure proteins to directly cleave incoming phage DNA during genome injection, thereby blocking infection.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A membrane-bound nuclease directly cleaves phage DNA during genome injection
 First author:Saxton DS
 Journal:Nature, doi:10.1038/s41586-026-10207-1
 DOI:10.1038/s41586-026-10207-1
 Reference:Saxton DS, DeWeirdt PC, Doering CR, Roney IJ & Laub MT. A membrane-bound nuclease directly cleaves phage DNA during genome injection. Nature. 2026. https://doi.org/10.1038/s41586-026-10207-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/snipe-membrane-nuclease-phage-injection
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering SNIPE architecture and membrane localization, autoinhibition, phage DNA cleavage during genome injection (Hershey–Chase style), interactions with ManYZ andTape-measure proteins (TMP), proximity labelling, Bas14 mutation experiments, and SNIPE homologues/evolution.- transcript topics: SNIPE membrane localization and domain architecture; Autoinhibition and self-DNA protection at the membrane; Cleavage of phage DNA during genome injection and Hershey–Chase-like evidence; Interaction with ManYZ and phage tape-measure protein during infection; TurboID proximity labelling findings for ManYZ and TMP interactions; Broad siphovirus defense and Bas14 mutation findings
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- SNIPE is a membrane-anchored protein with an N-terminal transmembrane domain, a DUF4041 domain in the middle, and a GIY-YIG nuclease domain at the C...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[307: SNIPE membrane nuclease cleaves phage λ DNA during ManYZ-mediated genome injection in Escherichia coli]]>
                </itunes:title>
                                    <itunes:episode>307</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Saxton DS et al., Nature, doi:10.1038/s41586-026-10207-1 - In E. coli, the membrane-bound nuclease SNIPE directly cleaves incoming phage λ DNA during genome injection, blocking infection via ManYZ and tape-measure protein interactions. Key terms: SNIPE, GIY-YIG nuclease, lambda phage, ManYZ, tape measure protein.</p>
<p> Study Highlights:<br />In Escherichia coli, the membrane-anchored protein SNIPE was shown to block phage λ by directly cleaving DNA during genome injection. The authors combined radiolabelled 32P phage DNA assays, time-lapse CFP-ParB/ParS microscopy, TurboID proximity labelling and pBPA crosslinking to map SNIPE localization and interactions. They report that membrane-localized SNIPE requires a DUF4041 domain and a GIY-YIG nuclease domain to generate DNA fragments during injection, reducing CFP-ParB puncta ~30-fold and producing a smear of 32P-labelled fragments; an E414A nuclease mutant abolished activity. Functionally, SNIPE prevents λ replication and cell lysis and provides broad defence against many siphoviruses via interactions with ManYZ and phage tape-measure proteins.</p>
<p> Conclusion:<br />SNIPE is a membrane-localized bacterial defence protein that associates with ManYZ and phage tape-measure proteins to directly cleave incoming phage DNA during genome injection, thereby blocking infection.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A membrane-bound nuclease directly cleaves phage DNA during genome injection</p>
<p> First author:<br />Saxton DS</p>
<p> Journal:<br />Nature, doi:10.1038/s41586-026-10207-1</p>
<p> DOI:<br />10.1038/s41586-026-10207-1</p>
<p> Reference:<br />Saxton DS, DeWeirdt PC, Doering CR, Roney IJ &amp; Laub MT. A membrane-bound nuclease directly cleaves phage DNA during genome injection. Nature. 2026. https://doi.org/10.1038/s41586-026-10207-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/snipe-membrane-nuclease-phage-injection</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering SNIPE architecture and membrane localization, autoinhibition, phage DNA cleavage during genome injection (Hershey–Chase style), interactions with ManYZ andTape-measure proteins (TMP), proximity labelling, Bas14 mutation experiments, and SNIPE homologues/evolution.<br />- transcript topics: SNIPE membrane localization and domain architecture; Autoinhibition and self-DNA protection at the membrane; Cleavage of phage DNA during genome injection and Hershey–Chase-like evidence; Interaction with ManYZ and phage tape-measure protein during infection; TurboID proximity labelling findings for ManYZ and TMP interactions; Broad siphovirus defense and Bas14 mutation findings</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- SNIPE is a membrane-anchored protein with an N-terminal transmembrane domain, a DUF4041 domain in the middle, and a GIY-YIG nuclease domain at the C-terminus.<br />- SNIPE autoinhibits its nuclease activity when anchored to the inner membrane to avoid autoimmune DNA cleavage.<br />- SNIPE cleaves phage DNA during genome injection, producing fragmented 32P DNA signals and reducing infection.<br />- CFP-ParB foci (parS-labelled phage DNA) are reduced by ~30-fold in SNIPE-expressing cells during λparS infection.<br />- A Hershey–Chase–style assay shows a smear of 32P-labelled DNA fragments in SNIPE-expressing cells, reversed by nuclease-inactive mutants (E414A).<br />- SNIPE associates with ManYZ before infection and with phage tape-measure proteins during genome injection.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Saxton DS et al., Nature, doi:10.1038/s41586-026-10207-1 - In E. coli, the membrane-bound nuclease SNIPE directly cleaves incoming phage λ DNA during genome injection, blocking infection via ManYZ and tape-measure protein interactions. Key terms: SNIPE, GIY-YIG nuclease, lambda phage, ManYZ, tape measure protein.
 Study Highlights:In Escherichia coli, the membrane-anchored protein SNIPE was shown to block phage λ by directly cleaving DNA during genome injection. The authors combined radiolabelled 32P phage DNA assays, time-lapse CFP-ParB/ParS microscopy, TurboID proximity labelling and pBPA crosslinking to map SNIPE localization and interactions. They report that membrane-localized SNIPE requires a DUF4041 domain and a GIY-YIG nuclease domain to generate DNA fragments during injection, reducing CFP-ParB puncta ~30-fold and producing a smear of 32P-labelled fragments; an E414A nuclease mutant abolished activity. Functionally, SNIPE prevents λ replication and cell lysis and provides broad defence against many siphoviruses via interactions with ManYZ and phage tape-measure proteins.
 Conclusion:SNIPE is a membrane-localized bacterial defence protein that associates with ManYZ and phage tape-measure proteins to directly cleave incoming phage DNA during genome injection, thereby blocking infection.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A membrane-bound nuclease directly cleaves phage DNA during genome injection
 First author:Saxton DS
 Journal:Nature, doi:10.1038/s41586-026-10207-1
 DOI:10.1038/s41586-026-10207-1
 Reference:Saxton DS, DeWeirdt PC, Doering CR, Roney IJ & Laub MT. A membrane-bound nuclease directly cleaves phage DNA during genome injection. Nature. 2026. https://doi.org/10.1038/s41586-026-10207-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/snipe-membrane-nuclease-phage-injection
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering SNIPE architecture and membrane localization, autoinhibition, phage DNA cleavage during genome injection (Hershey–Chase style), interactions with ManYZ andTape-measure proteins (TMP), proximity labelling, Bas14 mutation experiments, and SNIPE homologues/evolution.- transcript topics: SNIPE membrane localization and domain architecture; Autoinhibition and self-DNA protection at the membrane; Cleavage of phage DNA during genome injection and Hershey–Chase-like evidence; Interaction with ManYZ and phage tape-measure protein during infection; TurboID proximity labelling findings for ManYZ and TMP interactions; Broad siphovirus defense and Bas14 mutation findings
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- SNIPE is a membrane-anchored protein with an N-terminal transmembrane domain, a DUF4041 domain in the middle, and a GIY-YIG nuclease domain at the C...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2382471/c1a-p6xp7-ndr4xxxjc9o4-1z8ty3.png"></itunes:image>
                                                                            <itunes:duration>00:27:44</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[306: SAXO6 loss-of-function in photoreceptor cilia links a microtubule inner protein to late-onset retinal dystrophy]]>
                </title>
                <pubDate>Tue, 03 Mar 2026 06:02:31 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2381573</guid>
                                    <link>https://basebybase.castos.com/episodes/saxo6-photoreceptor-mip-retina</link>
                                <description>
                                            <![CDATA[<p>Moye AR et al., The American Journal of Human Genetics - Biallelic loss-of-function variants in SAXO6, a microtubule inner protein of photoreceptor cilia, cause late-onset retinal dystrophy by destabilizing axonemal microtubules. Key terms: SAXO6, microtubule inner protein, photoreceptor cilia, retinal dystrophy, iU-ExM.</p>
<p> Study Highlights:<br />The study analyzed human patients with late-onset recessive retinal dystrophy and combined genetic sequencing (WES/WGS and long-read RNA) with high-resolution imaging and proteomics. Iterative ultrastructure expansion microscopy and immuno-gold TEM localized SAXO6 to specific microtubule doublets in photoreceptor connecting cilia and outer segments and to motile cilia in airway models. Cross-linking mass spectrometry on isolated bovine tracheal cilia detected an interaction between SAXO6 Mn-motif regions and α-tubulin (Lys370), supporting SAXO6 as a microtubule inner protein. Functionally, predicted null SAXO6 genotypes segregate with late-onset RP or cone-rod dystrophy, implicating MIP dysfunction in long-term photoreceptor stability.</p>
<p> Conclusion:<br />Biallelic loss-of-function variants in SAXO6 cause late-onset retinal dystrophy, likely by disrupting a microtubule inner protein that stabilizes photoreceptor axonemes.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Loss-of-function variants in SAXO6, encoding a microtubule inner protein of photoreceptor cilia, cause a late-onset retinal dystrophy</p>
<p> First author:<br />Moye AR</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.001</p>
<p> Reference:<br />Moye AR, McCafferty CL, Lin S, Han JH, Dudakova L, Rodenburg K, Szabó V, Nagy ZZ, Zur D, Vajter M, Kousal B, Moulin AP, Graff-Meyer A, Roosing S, Mahroo OA, Arno G, Webster AR, Ben-Yosef T, Liskova P, Engel BD, Zobor D, Quinodoz M, Rivolta C. Loss-of-function variants in SAXO6, encoding a microtubule inner protein of photoreceptor cilia, cause a late-onset retinal dystrophy. The American Journal of Human Genetics. 2026 Mar 5;113:1–18. https://doi.org/10.1016/j.ajhg.2026.02.001</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/saxo6-photoreceptor-mip-retina</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering SAXO6 gene discovery and renaming from MDM1; SAXO6 LOF variants and segregation; SAXO6 localization in photoreceptor cilia and motile cilia; imaging methods iU-ExM and Ig-TEM; cross-linking MS evidence for SAXO6–α-tubulin interaction; rod vs cone MT doublet occupancy; clinical impli<br />- transcript topics: SAXO6 gene discovery and renaming from MDM1; Bi-allelic SAXO6 LOF variants and family segregation; Subcellular localization of SAXO6 in photoreceptor cilia (CC/OS) and in motile cilia; Imaging methods: iterative ultrastructure expansion microscopy (iU-ExM); Immuno-gold TEM localization of SAXO6; Cross-linking mass spectrometry evidence for SAXO6–α-tubulin interaction</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues fou...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Moye AR et al., The American Journal of Human Genetics - Biallelic loss-of-function variants in SAXO6, a microtubule inner protein of photoreceptor cilia, cause late-onset retinal dystrophy by destabilizing axonemal microtubules. Key terms: SAXO6, microtubule inner protein, photoreceptor cilia, retinal dystrophy, iU-ExM.
 Study Highlights:The study analyzed human patients with late-onset recessive retinal dystrophy and combined genetic sequencing (WES/WGS and long-read RNA) with high-resolution imaging and proteomics. Iterative ultrastructure expansion microscopy and immuno-gold TEM localized SAXO6 to specific microtubule doublets in photoreceptor connecting cilia and outer segments and to motile cilia in airway models. Cross-linking mass spectrometry on isolated bovine tracheal cilia detected an interaction between SAXO6 Mn-motif regions and α-tubulin (Lys370), supporting SAXO6 as a microtubule inner protein. Functionally, predicted null SAXO6 genotypes segregate with late-onset RP or cone-rod dystrophy, implicating MIP dysfunction in long-term photoreceptor stability.
 Conclusion:Biallelic loss-of-function variants in SAXO6 cause late-onset retinal dystrophy, likely by disrupting a microtubule inner protein that stabilizes photoreceptor axonemes.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Loss-of-function variants in SAXO6, encoding a microtubule inner protein of photoreceptor cilia, cause a late-onset retinal dystrophy
 First author:Moye AR
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.001
 Reference:Moye AR, McCafferty CL, Lin S, Han JH, Dudakova L, Rodenburg K, Szabó V, Nagy ZZ, Zur D, Vajter M, Kousal B, Moulin AP, Graff-Meyer A, Roosing S, Mahroo OA, Arno G, Webster AR, Ben-Yosef T, Liskova P, Engel BD, Zobor D, Quinodoz M, Rivolta C. Loss-of-function variants in SAXO6, encoding a microtubule inner protein of photoreceptor cilia, cause a late-onset retinal dystrophy. The American Journal of Human Genetics. 2026 Mar 5;113:1–18. https://doi.org/10.1016/j.ajhg.2026.02.001
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/saxo6-photoreceptor-mip-retina
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering SAXO6 gene discovery and renaming from MDM1; SAXO6 LOF variants and segregation; SAXO6 localization in photoreceptor cilia and motile cilia; imaging methods iU-ExM and Ig-TEM; cross-linking MS evidence for SAXO6–α-tubulin interaction; rod vs cone MT doublet occupancy; clinical impli- transcript topics: SAXO6 gene discovery and renaming from MDM1; Bi-allelic SAXO6 LOF variants and family segregation; Subcellular localization of SAXO6 in photoreceptor cilia (CC/OS) and in motile cilia; Imaging methods: iterative ultrastructure expansion microscopy (iU-ExM); Immuno-gold TEM localization of SAXO6; Cross-linking mass spectrometry evidence for SAXO6–α-tubulin interaction
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues fou...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[306: SAXO6 loss-of-function in photoreceptor cilia links a microtubule inner protein to late-onset retinal dystrophy]]>
                </itunes:title>
                                    <itunes:episode>306</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Moye AR et al., The American Journal of Human Genetics - Biallelic loss-of-function variants in SAXO6, a microtubule inner protein of photoreceptor cilia, cause late-onset retinal dystrophy by destabilizing axonemal microtubules. Key terms: SAXO6, microtubule inner protein, photoreceptor cilia, retinal dystrophy, iU-ExM.</p>
<p> Study Highlights:<br />The study analyzed human patients with late-onset recessive retinal dystrophy and combined genetic sequencing (WES/WGS and long-read RNA) with high-resolution imaging and proteomics. Iterative ultrastructure expansion microscopy and immuno-gold TEM localized SAXO6 to specific microtubule doublets in photoreceptor connecting cilia and outer segments and to motile cilia in airway models. Cross-linking mass spectrometry on isolated bovine tracheal cilia detected an interaction between SAXO6 Mn-motif regions and α-tubulin (Lys370), supporting SAXO6 as a microtubule inner protein. Functionally, predicted null SAXO6 genotypes segregate with late-onset RP or cone-rod dystrophy, implicating MIP dysfunction in long-term photoreceptor stability.</p>
<p> Conclusion:<br />Biallelic loss-of-function variants in SAXO6 cause late-onset retinal dystrophy, likely by disrupting a microtubule inner protein that stabilizes photoreceptor axonemes.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Loss-of-function variants in SAXO6, encoding a microtubule inner protein of photoreceptor cilia, cause a late-onset retinal dystrophy</p>
<p> First author:<br />Moye AR</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2026.02.001</p>
<p> Reference:<br />Moye AR, McCafferty CL, Lin S, Han JH, Dudakova L, Rodenburg K, Szabó V, Nagy ZZ, Zur D, Vajter M, Kousal B, Moulin AP, Graff-Meyer A, Roosing S, Mahroo OA, Arno G, Webster AR, Ben-Yosef T, Liskova P, Engel BD, Zobor D, Quinodoz M, Rivolta C. Loss-of-function variants in SAXO6, encoding a microtubule inner protein of photoreceptor cilia, cause a late-onset retinal dystrophy. The American Journal of Human Genetics. 2026 Mar 5;113:1–18. https://doi.org/10.1016/j.ajhg.2026.02.001</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/saxo6-photoreceptor-mip-retina</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering SAXO6 gene discovery and renaming from MDM1; SAXO6 LOF variants and segregation; SAXO6 localization in photoreceptor cilia and motile cilia; imaging methods iU-ExM and Ig-TEM; cross-linking MS evidence for SAXO6–α-tubulin interaction; rod vs cone MT doublet occupancy; clinical impli<br />- transcript topics: SAXO6 gene discovery and renaming from MDM1; Bi-allelic SAXO6 LOF variants and family segregation; Subcellular localization of SAXO6 in photoreceptor cilia (CC/OS) and in motile cilia; Imaging methods: iterative ultrastructure expansion microscopy (iU-ExM); Immuno-gold TEM localization of SAXO6; Cross-linking mass spectrometry evidence for SAXO6–α-tubulin interaction</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Six individuals from five families carry bi-allelic SAXO6 loss-of-function variants associated with late-onset RP/CRD<br />- SAXO6 renamed from MDM1 to SAXO6 (stabilizer of axonemal microtubules 6)<br />- SAXO6 localizes inside the lumen of photoreceptor ciliary microtubules and in motile cilia<br />- Cross-linking MS identifies an interaction between SAXO6 (Lys201) and α-tubulin (Lys370) with ~30 Å separation<br />- Iterative ultrastructure expansion microscopy expanded tissue ~10×, revealing SAXO6 localization along microtubule doublets<br />- Rods show SAXO6 occupancy on 6–7 microtubule doublets; cones on all 9 doublets</p>
<p>QC result: Pass.</p>]]>
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                    <![CDATA[Moye AR et al., The American Journal of Human Genetics - Biallelic loss-of-function variants in SAXO6, a microtubule inner protein of photoreceptor cilia, cause late-onset retinal dystrophy by destabilizing axonemal microtubules. Key terms: SAXO6, microtubule inner protein, photoreceptor cilia, retinal dystrophy, iU-ExM.
 Study Highlights:The study analyzed human patients with late-onset recessive retinal dystrophy and combined genetic sequencing (WES/WGS and long-read RNA) with high-resolution imaging and proteomics. Iterative ultrastructure expansion microscopy and immuno-gold TEM localized SAXO6 to specific microtubule doublets in photoreceptor connecting cilia and outer segments and to motile cilia in airway models. Cross-linking mass spectrometry on isolated bovine tracheal cilia detected an interaction between SAXO6 Mn-motif regions and α-tubulin (Lys370), supporting SAXO6 as a microtubule inner protein. Functionally, predicted null SAXO6 genotypes segregate with late-onset RP or cone-rod dystrophy, implicating MIP dysfunction in long-term photoreceptor stability.
 Conclusion:Biallelic loss-of-function variants in SAXO6 cause late-onset retinal dystrophy, likely by disrupting a microtubule inner protein that stabilizes photoreceptor axonemes.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Loss-of-function variants in SAXO6, encoding a microtubule inner protein of photoreceptor cilia, cause a late-onset retinal dystrophy
 First author:Moye AR
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2026.02.001
 Reference:Moye AR, McCafferty CL, Lin S, Han JH, Dudakova L, Rodenburg K, Szabó V, Nagy ZZ, Zur D, Vajter M, Kousal B, Moulin AP, Graff-Meyer A, Roosing S, Mahroo OA, Arno G, Webster AR, Ben-Yosef T, Liskova P, Engel BD, Zobor D, Quinodoz M, Rivolta C. Loss-of-function variants in SAXO6, encoding a microtubule inner protein of photoreceptor cilia, cause a late-onset retinal dystrophy. The American Journal of Human Genetics. 2026 Mar 5;113:1–18. https://doi.org/10.1016/j.ajhg.2026.02.001
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/saxo6-photoreceptor-mip-retina
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering SAXO6 gene discovery and renaming from MDM1; SAXO6 LOF variants and segregation; SAXO6 localization in photoreceptor cilia and motile cilia; imaging methods iU-ExM and Ig-TEM; cross-linking MS evidence for SAXO6–α-tubulin interaction; rod vs cone MT doublet occupancy; clinical impli- transcript topics: SAXO6 gene discovery and renaming from MDM1; Bi-allelic SAXO6 LOF variants and family segregation; Subcellular localization of SAXO6 in photoreceptor cilia (CC/OS) and in motile cilia; Imaging methods: iterative ultrastructure expansion microscopy (iU-ExM); Immuno-gold TEM localization of SAXO6; Cross-linking mass spectrometry evidence for SAXO6–α-tubulin interaction
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues fou...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:25:09</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[305: Human cis-regulatory variants dissected by MPRA at single-nucleotide resolution]]>
                </title>
                <pubDate>Mon, 02 Mar 2026 06:31:33 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                    <link>https://basebybase.castos.com/episodes/mpra-human-regulatory-variants</link>
                                <description>
                                            <![CDATA[<p>Siraj L et al., Nature, doi:10.1038/s41586-026-10121-6 - Using MPRA in five human cell types, the authors assayed 221,412 fine-mapped variants and identified 13,121 trait-associated regulatory variants (TARVs), mapping mechanisms at single-nucleotide resolution. Key terms: massively parallel reporter assay, trait-associated regulatory variants, saturation mutagenesis, transcription factor motifs, regulatory epistasis.</p>
<p> Study Highlights:<br />The study assayed 221,412 fine-mapped human GWAS and eQTL variants using a massively parallel reporter assay (MPRA) across five cell lines and performed saturation mutagenesis on 136 TARVs. MPRA identified 13,121 trait-associated regulatory variants (TARVs) and showed that emVar status within endogenous CREs improves precision for causal-variant prioritization. Saturation mutagenesis defined activity blocks, assigned transcription factors for 91% of previously non-canonical TARVs, and revealed that only 69% of TARVs disrupt known TF motifs. The authors also detected regulatory epistasis in ~11% of nearby variant pairs, demonstrating non-additive effects between cis variants.</p>
<p> Conclusion:<br />Large-scale MPRA combined with saturation mutagenesis systematically identifies and mechanistically annotates thousands of human trait-associated regulatory variants at single-nucleotide resolution, revealing motif-disrupting and non-canonical TF mechanisms and local epistasis.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Functional dissection of complex trait variants at single-nucleotide resolution</p>
<p> First author:<br />Siraj L</p>
<p> Journal:<br />Nature, doi:10.1038/s41586-026-10121-6</p>
<p> DOI:<br />10.1038/s41586-026-10121-6</p>
<p> Reference:<br />Siraj L., Castro R.I., Dewey H.B., Kales S., Butts J.C., Nguyen T.T.L., Kanai M., et al. Functional dissection of complex trait variants at single-nucleotide resolution. Nature. https://doi.org/10.1038/s41586-026-10121-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mpra-human-regulatory-variants</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s coverage of MPRA scale and variant coverage, TARV identification and counts, mechanistic categories (motif disruption and non-canonical mechanisms), saturation mutagenesis mapping, regulatory epistasis, recall/precision metrics, cell-type context, and translational HbA1c example.<br />- transcript topics: MPRA scale and variant coverage; TARV identification and counts; Motif disruption as mechanism; Saturation mutagenesis mapping and activity blocks; Non-canonical TARV mechanisms; Regulatory epistasis in nearby TARV pairs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MPRA tested 221,412 fine-mapped trait-associated variants<br />- Identified 13,121 TARVs with high precision<br />- 69% of TARVs disrupt known transcription factor motifs<br />- Saturatio...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Siraj L et al., Nature, doi:10.1038/s41586-026-10121-6 - Using MPRA in five human cell types, the authors assayed 221,412 fine-mapped variants and identified 13,121 trait-associated regulatory variants (TARVs), mapping mechanisms at single-nucleotide resolution. Key terms: massively parallel reporter assay, trait-associated regulatory variants, saturation mutagenesis, transcription factor motifs, regulatory epistasis.
 Study Highlights:The study assayed 221,412 fine-mapped human GWAS and eQTL variants using a massively parallel reporter assay (MPRA) across five cell lines and performed saturation mutagenesis on 136 TARVs. MPRA identified 13,121 trait-associated regulatory variants (TARVs) and showed that emVar status within endogenous CREs improves precision for causal-variant prioritization. Saturation mutagenesis defined activity blocks, assigned transcription factors for 91% of previously non-canonical TARVs, and revealed that only 69% of TARVs disrupt known TF motifs. The authors also detected regulatory epistasis in ~11% of nearby variant pairs, demonstrating non-additive effects between cis variants.
 Conclusion:Large-scale MPRA combined with saturation mutagenesis systematically identifies and mechanistically annotates thousands of human trait-associated regulatory variants at single-nucleotide resolution, revealing motif-disrupting and non-canonical TF mechanisms and local epistasis.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Functional dissection of complex trait variants at single-nucleotide resolution
 First author:Siraj L
 Journal:Nature, doi:10.1038/s41586-026-10121-6
 DOI:10.1038/s41586-026-10121-6
 Reference:Siraj L., Castro R.I., Dewey H.B., Kales S., Butts J.C., Nguyen T.T.L., Kanai M., et al. Functional dissection of complex trait variants at single-nucleotide resolution. Nature. https://doi.org/10.1038/s41586-026-10121-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mpra-human-regulatory-variants
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s coverage of MPRA scale and variant coverage, TARV identification and counts, mechanistic categories (motif disruption and non-canonical mechanisms), saturation mutagenesis mapping, regulatory epistasis, recall/precision metrics, cell-type context, and translational HbA1c example.- transcript topics: MPRA scale and variant coverage; TARV identification and counts; Motif disruption as mechanism; Saturation mutagenesis mapping and activity blocks; Non-canonical TARV mechanisms; Regulatory epistasis in nearby TARV pairs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MPRA tested 221,412 fine-mapped trait-associated variants- Identified 13,121 TARVs with high precision- 69% of TARVs disrupt known transcription factor motifs- Saturatio...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[305: Human cis-regulatory variants dissected by MPRA at single-nucleotide resolution]]>
                </itunes:title>
                                    <itunes:episode>305</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Siraj L et al., Nature, doi:10.1038/s41586-026-10121-6 - Using MPRA in five human cell types, the authors assayed 221,412 fine-mapped variants and identified 13,121 trait-associated regulatory variants (TARVs), mapping mechanisms at single-nucleotide resolution. Key terms: massively parallel reporter assay, trait-associated regulatory variants, saturation mutagenesis, transcription factor motifs, regulatory epistasis.</p>
<p> Study Highlights:<br />The study assayed 221,412 fine-mapped human GWAS and eQTL variants using a massively parallel reporter assay (MPRA) across five cell lines and performed saturation mutagenesis on 136 TARVs. MPRA identified 13,121 trait-associated regulatory variants (TARVs) and showed that emVar status within endogenous CREs improves precision for causal-variant prioritization. Saturation mutagenesis defined activity blocks, assigned transcription factors for 91% of previously non-canonical TARVs, and revealed that only 69% of TARVs disrupt known TF motifs. The authors also detected regulatory epistasis in ~11% of nearby variant pairs, demonstrating non-additive effects between cis variants.</p>
<p> Conclusion:<br />Large-scale MPRA combined with saturation mutagenesis systematically identifies and mechanistically annotates thousands of human trait-associated regulatory variants at single-nucleotide resolution, revealing motif-disrupting and non-canonical TF mechanisms and local epistasis.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Functional dissection of complex trait variants at single-nucleotide resolution</p>
<p> First author:<br />Siraj L</p>
<p> Journal:<br />Nature, doi:10.1038/s41586-026-10121-6</p>
<p> DOI:<br />10.1038/s41586-026-10121-6</p>
<p> Reference:<br />Siraj L., Castro R.I., Dewey H.B., Kales S., Butts J.C., Nguyen T.T.L., Kanai M., et al. Functional dissection of complex trait variants at single-nucleotide resolution. Nature. https://doi.org/10.1038/s41586-026-10121-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mpra-human-regulatory-variants</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s coverage of MPRA scale and variant coverage, TARV identification and counts, mechanistic categories (motif disruption and non-canonical mechanisms), saturation mutagenesis mapping, regulatory epistasis, recall/precision metrics, cell-type context, and translational HbA1c example.<br />- transcript topics: MPRA scale and variant coverage; TARV identification and counts; Motif disruption as mechanism; Saturation mutagenesis mapping and activity blocks; Non-canonical TARV mechanisms; Regulatory epistasis in nearby TARV pairs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MPRA tested 221,412 fine-mapped trait-associated variants<br />- Identified 13,121 TARVs with high precision<br />- 69% of TARVs disrupt known transcription factor motifs<br />- Saturation mutagenesis assigned TFs for 91% of non-canonical TARVs<br />- Regulatory epistasis detected in ~11% of nearby TARV pairs<br />- Precision for causal-variant prioritization ~82–83%; recall ~15–20%</p>
<p>QC result: Pass.</p>]]>
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                    <![CDATA[Siraj L et al., Nature, doi:10.1038/s41586-026-10121-6 - Using MPRA in five human cell types, the authors assayed 221,412 fine-mapped variants and identified 13,121 trait-associated regulatory variants (TARVs), mapping mechanisms at single-nucleotide resolution. Key terms: massively parallel reporter assay, trait-associated regulatory variants, saturation mutagenesis, transcription factor motifs, regulatory epistasis.
 Study Highlights:The study assayed 221,412 fine-mapped human GWAS and eQTL variants using a massively parallel reporter assay (MPRA) across five cell lines and performed saturation mutagenesis on 136 TARVs. MPRA identified 13,121 trait-associated regulatory variants (TARVs) and showed that emVar status within endogenous CREs improves precision for causal-variant prioritization. Saturation mutagenesis defined activity blocks, assigned transcription factors for 91% of previously non-canonical TARVs, and revealed that only 69% of TARVs disrupt known TF motifs. The authors also detected regulatory epistasis in ~11% of nearby variant pairs, demonstrating non-additive effects between cis variants.
 Conclusion:Large-scale MPRA combined with saturation mutagenesis systematically identifies and mechanistically annotates thousands of human trait-associated regulatory variants at single-nucleotide resolution, revealing motif-disrupting and non-canonical TF mechanisms and local epistasis.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Functional dissection of complex trait variants at single-nucleotide resolution
 First author:Siraj L
 Journal:Nature, doi:10.1038/s41586-026-10121-6
 DOI:10.1038/s41586-026-10121-6
 Reference:Siraj L., Castro R.I., Dewey H.B., Kales S., Butts J.C., Nguyen T.T.L., Kanai M., et al. Functional dissection of complex trait variants at single-nucleotide resolution. Nature. https://doi.org/10.1038/s41586-026-10121-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mpra-human-regulatory-variants
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s coverage of MPRA scale and variant coverage, TARV identification and counts, mechanistic categories (motif disruption and non-canonical mechanisms), saturation mutagenesis mapping, regulatory epistasis, recall/precision metrics, cell-type context, and translational HbA1c example.- transcript topics: MPRA scale and variant coverage; TARV identification and counts; Motif disruption as mechanism; Saturation mutagenesis mapping and activity blocks; Non-canonical TARV mechanisms; Regulatory epistasis in nearby TARV pairs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MPRA tested 221,412 fine-mapped trait-associated variants- Identified 13,121 TARVs with high precision- 69% of TARVs disrupt known transcription factor motifs- Saturatio...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2380413/c1a-p6xp7-7z8kdd18h9od-rpvxls.png"></itunes:image>
                                                                            <itunes:duration>00:22:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[304: Patrilineal Y‑chromosome drive in a Utah pedigree (67% male offspring)]]>
                </title>
                <pubDate>Mon, 02 Mar 2026 05:28:16 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2380397</guid>
                                    <link>https://basebybase.castos.com/episodes/human-y-chromosome-drive</link>
                                <description>
                                            <![CDATA[<p>Baldwin-Brown JG et al., Annual Review of Ecology and Systematics - Bayesian analysis of 76,445 Utah Population Database pedigrees identifies a patrilineal Y‑chromosome lineage producing a 2:1 male bias, consistent with segregation distortion. Key terms: segregation distortion, Y chromosome, sex ratio, Utah Population Database, Bayesian pedigree analysis.</p>
<p> Episode title:<br />Patrilineal Y‑chromosome drive in a Utah pedigree (67% male offspring)</p>
<p> Study Highlights:<br />We analyzed 76,445 anonymized human pedigrees from the Utah Population Database using a Bayesian pedigree-propagation algorithm (Warp), complemented by transmission disequilibrium testing, permutation and Monte Carlo simulations. These methods identified a single patrilineal Y-chromosome lineage with 89 informative transmissions that produced 60 male and 29 female offspring, a 67.4% male proportion. Warp and the TDT independently flagged the same family and permutation/Monte Carlo tests indicated the observed male bias was unlikely to arise by chance (p≈0.001–0.05). The pattern is consistent with a Y-linked segregation distorter and is discussed as a possible contributor to unexplained male infertility and human sex-ratio dynamics.</p>
<p> Conclusion:<br />A multi-method analysis of deep Utah pedigrees identifies a statistically significant male-biased patrilineal lineage consistent with a Y-linked segregation distorter in humans.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Signatures of sex ratio distortion in humans</p>
<p> First author:<br />Baldwin-Brown JG</p>
<p> Journal:<br />Annual Review of Ecology and Systematics</p>
<p> DOI:<br />10.64898/2026.02.04.702084</p>
<p> Reference:<br />Baldwin-Brown JG, Wesolowski S, Zimmerman RM, Peterson B, Tristani-Firouzi M, Hernandez EH, Aston KI, Yandell M, Phadnis N. Signatures of sex ratio distortion in humans. Annual Review of Ecology and Systematics. 2026. https://doi.org/10.64898/2026.02.04.702084</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/human-y-chromosome-drive</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript segments describing segregation distortion concepts, Warp Bayesian algorithm for detecting distorters, the UPDB/focal patrilineal lineage with 67.4% male offspring across 89 transmissions, TDT results, Monte Carlo validation, proposed Y-chromosome mechanisms (PRY cluster), and implications (male infe<br />- transcript topics: Segregation distortion concepts and Mendelian expectations; Warp Bayesian algorithm for detecting distorters in UPDB pedigrees; UPDB data and identification of a patrilineal Y-chromosome lineage with 60/29 across 89 transmissions; Transmission Disequilibrium Test (TDT) results; Monte Carlo validation of lineage bias (p ≈ 0.00138); Potential molecular mechanisms: PRY ampliconic gene cluster</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Baldwin-Brown JG et al., Annual Review of Ecology and Systematics - Bayesian analysis of 76,445 Utah Population Database pedigrees identifies a patrilineal Y‑chromosome lineage producing a 2:1 male bias, consistent with segregation distortion. Key terms: segregation distortion, Y chromosome, sex ratio, Utah Population Database, Bayesian pedigree analysis.
 Episode title:Patrilineal Y‑chromosome drive in a Utah pedigree (67% male offspring)
 Study Highlights:We analyzed 76,445 anonymized human pedigrees from the Utah Population Database using a Bayesian pedigree-propagation algorithm (Warp), complemented by transmission disequilibrium testing, permutation and Monte Carlo simulations. These methods identified a single patrilineal Y-chromosome lineage with 89 informative transmissions that produced 60 male and 29 female offspring, a 67.4% male proportion. Warp and the TDT independently flagged the same family and permutation/Monte Carlo tests indicated the observed male bias was unlikely to arise by chance (p≈0.001–0.05). The pattern is consistent with a Y-linked segregation distorter and is discussed as a possible contributor to unexplained male infertility and human sex-ratio dynamics.
 Conclusion:A multi-method analysis of deep Utah pedigrees identifies a statistically significant male-biased patrilineal lineage consistent with a Y-linked segregation distorter in humans.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Signatures of sex ratio distortion in humans
 First author:Baldwin-Brown JG
 Journal:Annual Review of Ecology and Systematics
 DOI:10.64898/2026.02.04.702084
 Reference:Baldwin-Brown JG, Wesolowski S, Zimmerman RM, Peterson B, Tristani-Firouzi M, Hernandez EH, Aston KI, Yandell M, Phadnis N. Signatures of sex ratio distortion in humans. Annual Review of Ecology and Systematics. 2026. https://doi.org/10.64898/2026.02.04.702084
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/human-y-chromosome-drive
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript segments describing segregation distortion concepts, Warp Bayesian algorithm for detecting distorters, the UPDB/focal patrilineal lineage with 67.4% male offspring across 89 transmissions, TDT results, Monte Carlo validation, proposed Y-chromosome mechanisms (PRY cluster), and implications (male infe- transcript topics: Segregation distortion concepts and Mendelian expectations; Warp Bayesian algorithm for detecting distorters in UPDB pedigrees; UPDB data and identification of a patrilineal Y-chromosome lineage with 60/29 across 89 transmissions; Transmission Disequilibrium Test (TDT) results; Monte Carlo validation of lineage bias (p ≈ 0.00138); Potential molecular mechanisms: PRY ampliconic gene cluster
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[304: Patrilineal Y‑chromosome drive in a Utah pedigree (67% male offspring)]]>
                </itunes:title>
                                    <itunes:episode>304</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Baldwin-Brown JG et al., Annual Review of Ecology and Systematics - Bayesian analysis of 76,445 Utah Population Database pedigrees identifies a patrilineal Y‑chromosome lineage producing a 2:1 male bias, consistent with segregation distortion. Key terms: segregation distortion, Y chromosome, sex ratio, Utah Population Database, Bayesian pedigree analysis.</p>
<p> Episode title:<br />Patrilineal Y‑chromosome drive in a Utah pedigree (67% male offspring)</p>
<p> Study Highlights:<br />We analyzed 76,445 anonymized human pedigrees from the Utah Population Database using a Bayesian pedigree-propagation algorithm (Warp), complemented by transmission disequilibrium testing, permutation and Monte Carlo simulations. These methods identified a single patrilineal Y-chromosome lineage with 89 informative transmissions that produced 60 male and 29 female offspring, a 67.4% male proportion. Warp and the TDT independently flagged the same family and permutation/Monte Carlo tests indicated the observed male bias was unlikely to arise by chance (p≈0.001–0.05). The pattern is consistent with a Y-linked segregation distorter and is discussed as a possible contributor to unexplained male infertility and human sex-ratio dynamics.</p>
<p> Conclusion:<br />A multi-method analysis of deep Utah pedigrees identifies a statistically significant male-biased patrilineal lineage consistent with a Y-linked segregation distorter in humans.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Signatures of sex ratio distortion in humans</p>
<p> First author:<br />Baldwin-Brown JG</p>
<p> Journal:<br />Annual Review of Ecology and Systematics</p>
<p> DOI:<br />10.64898/2026.02.04.702084</p>
<p> Reference:<br />Baldwin-Brown JG, Wesolowski S, Zimmerman RM, Peterson B, Tristani-Firouzi M, Hernandez EH, Aston KI, Yandell M, Phadnis N. Signatures of sex ratio distortion in humans. Annual Review of Ecology and Systematics. 2026. https://doi.org/10.64898/2026.02.04.702084</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/human-y-chromosome-drive</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript segments describing segregation distortion concepts, Warp Bayesian algorithm for detecting distorters, the UPDB/focal patrilineal lineage with 67.4% male offspring across 89 transmissions, TDT results, Monte Carlo validation, proposed Y-chromosome mechanisms (PRY cluster), and implications (male infe<br />- transcript topics: Segregation distortion concepts and Mendelian expectations; Warp Bayesian algorithm for detecting distorters in UPDB pedigrees; UPDB data and identification of a patrilineal Y-chromosome lineage with 60/29 across 89 transmissions; Transmission Disequilibrium Test (TDT) results; Monte Carlo validation of lineage bias (p ≈ 0.00138); Potential molecular mechanisms: PRY ampliconic gene cluster</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Identification of a patrilineal Y-chromosome distorter signal in humans using UPDB data (67.4% male across 89 transmissions in focal lineage)<br />- Warp Bayesian algorithm applied to UPDB pedigrees identifies putative distorter-carrying lineages (two male-biased families detected; six female-biased families)<br />- Focal patrilineal lineage across 89 informative transmissions yields 60 male and 29 female offspring (67.4% male)<br />- Transmission Disequilibrium Test (TDT) identifies the focal patrilineal lineage as significantly male biased (p ≈ 0.0249 after FDR; uncorrected p ≈ 0.00102)<br />- Monte Carlo simulations yield p ≈ 0.00138 for the focal lineage<br />- PRY gene cluster on the Y chromosome discussed as a prime mechanistic candidate for distortion</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Baldwin-Brown JG et al., Annual Review of Ecology and Systematics - Bayesian analysis of 76,445 Utah Population Database pedigrees identifies a patrilineal Y‑chromosome lineage producing a 2:1 male bias, consistent with segregation distortion. Key terms: segregation distortion, Y chromosome, sex ratio, Utah Population Database, Bayesian pedigree analysis.
 Episode title:Patrilineal Y‑chromosome drive in a Utah pedigree (67% male offspring)
 Study Highlights:We analyzed 76,445 anonymized human pedigrees from the Utah Population Database using a Bayesian pedigree-propagation algorithm (Warp), complemented by transmission disequilibrium testing, permutation and Monte Carlo simulations. These methods identified a single patrilineal Y-chromosome lineage with 89 informative transmissions that produced 60 male and 29 female offspring, a 67.4% male proportion. Warp and the TDT independently flagged the same family and permutation/Monte Carlo tests indicated the observed male bias was unlikely to arise by chance (p≈0.001–0.05). The pattern is consistent with a Y-linked segregation distorter and is discussed as a possible contributor to unexplained male infertility and human sex-ratio dynamics.
 Conclusion:A multi-method analysis of deep Utah pedigrees identifies a statistically significant male-biased patrilineal lineage consistent with a Y-linked segregation distorter in humans.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Signatures of sex ratio distortion in humans
 First author:Baldwin-Brown JG
 Journal:Annual Review of Ecology and Systematics
 DOI:10.64898/2026.02.04.702084
 Reference:Baldwin-Brown JG, Wesolowski S, Zimmerman RM, Peterson B, Tristani-Firouzi M, Hernandez EH, Aston KI, Yandell M, Phadnis N. Signatures of sex ratio distortion in humans. Annual Review of Ecology and Systematics. 2026. https://doi.org/10.64898/2026.02.04.702084
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/human-y-chromosome-drive
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-03-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript segments describing segregation distortion concepts, Warp Bayesian algorithm for detecting distorters, the UPDB/focal patrilineal lineage with 67.4% male offspring across 89 transmissions, TDT results, Monte Carlo validation, proposed Y-chromosome mechanisms (PRY cluster), and implications (male infe- transcript topics: Segregation distortion concepts and Mendelian expectations; Warp Bayesian algorithm for detecting distorters in UPDB pedigrees; UPDB data and identification of a patrilineal Y-chromosome lineage with 60/29 across 89 transmissions; Transmission Disequilibrium Test (TDT) results; Monte Carlo validation of lineage bias (p ≈ 0.00138); Potential molecular mechanisms: PRY ampliconic gene cluster
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2380397/c1a-p6xp7-qdp499kri687-yvgtbn.png"></itunes:image>
                                                                            <itunes:duration>00:18:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[303: Short-read sequencing and genome skimming for biodiversity monitoring and phylogenomics]]>
                </title>
                <pubDate>Sat, 28 Feb 2026 20:18:01 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2377710</guid>
                                    <link>https://basebybase.castos.com/episodes/short-read-genome-skimming</link>
                                <description>
                                            <![CDATA[<p>Bleidorn C et al., Trends in Genetics, 42 (2026) 137-149. doi:10.1016/j.tig.2025.09.001 - This review shows how short-read shotgun sequencing and genome skimming recover organellar genomes, estimate genome size and repeat content, and enable scalable biodiversity monitoring. Key terms: short-read sequencing, genome skimming, metagenomics, museum genomics, phylogenomics.</p>
<p> Study Highlights:<br />The authors review applications across eukaryotic biodiversity, museum specimens, bulk samples and eDNA using short-read shotgun sequencing and genome skimming. They detail assembly-free and mapping-based bioinformatic methods (k-mer analyses, Read2Tree, Kraken2/CONSULT) and target-enrichment approaches for recovering phylogenetic markers. Quantitatively, low-coverage skims (from &lt;1× to ~20×) can reliably recover organellar genomes and estimate genome size and repeat content using tools such as RESPECT and GenomeScope. Functionally, these approaches enable rapid reference database building, biomass estimation, and scalable monitoring that support the Global Biodiversity Framework.</p>
<p> Conclusion:<br />Short-read sequencing remains a cost-effective, broadly applicable toolkit that complements long-read references by enabling genome skimming, genome-size and repeat estimation, phylogenetics from low-coverage data, and museum-based biodiversity sampling.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The untapped potential of short-read sequencing in biodiversity research</p>
<p> First author:<br />Bleidorn C</p>
<p> Journal:<br />Trends in Genetics, 42 (2026) 137-149. doi:10.1016/j.tig.2025.09.001</p>
<p> DOI:<br />10.1016/j.tig.2025.09.001</p>
<p> Reference:<br />Bleidorn C, Podsiadlowski L, Sandberg F, Martin S, Vogler AP. The untapped potential of short-read sequencing in biodiversity research. Trends Genet. 2026;42:137-149. https://doi.org/10.1016/j.tig.2025.09.001</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/short-read-genome-skimming</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s scientific content: GBF motivation, short-read sequencing and genome skimming, museomics (Barcode Blitz), type genomics, assembly-free phylogenomics (USCOs, UCEs, k-mers), environmental DNA/metagenomics and biomass estimation, hologenome/holobiont concept, and sequencing economics.<br />- transcript topics: GBF motivation and large-scale biodiversity monitoring; Short-read sequencing basics and genome skimming; Museomics and Barcode Blitz (museum collections, degraded DNA); Type genomics and reference database curation; Assembly-free phylogenomics (USCOs, UCEs, k-mers); Environmental DNA/metagenomics and biomass estimation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Short-read sequencing provides a universal data source across scales from genomes to ecosystems and supports GBF objectives.<br />- Genome...</p>
<h3>Chapters</h3>
<ul><li>(00:00:20) - Base by Bass</li><li>(00:02:08) - The untapped potential of short-read sequencing in biodiversity science</li><li>(00:09:38) - Genome Skimming to accurately estimate the biomass of marine organisms</li><li>(00:16:23) - The race for low-cost sequencing</li><li>(00:24:16) - Short-read sequencing: The secrets of the last ice age</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Bleidorn C et al., Trends in Genetics, 42 (2026) 137-149. doi:10.1016/j.tig.2025.09.001 - This review shows how short-read shotgun sequencing and genome skimming recover organellar genomes, estimate genome size and repeat content, and enable scalable biodiversity monitoring. Key terms: short-read sequencing, genome skimming, metagenomics, museum genomics, phylogenomics.
 Study Highlights:The authors review applications across eukaryotic biodiversity, museum specimens, bulk samples and eDNA using short-read shotgun sequencing and genome skimming. They detail assembly-free and mapping-based bioinformatic methods (k-mer analyses, Read2Tree, Kraken2/CONSULT) and target-enrichment approaches for recovering phylogenetic markers. Quantitatively, low-coverage skims (from <1× to ~20×) can reliably recover organellar genomes and estimate genome size and repeat content using tools such as RESPECT and GenomeScope. Functionally, these approaches enable rapid reference database building, biomass estimation, and scalable monitoring that support the Global Biodiversity Framework.
 Conclusion:Short-read sequencing remains a cost-effective, broadly applicable toolkit that complements long-read references by enabling genome skimming, genome-size and repeat estimation, phylogenetics from low-coverage data, and museum-based biodiversity sampling.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The untapped potential of short-read sequencing in biodiversity research
 First author:Bleidorn C
 Journal:Trends in Genetics, 42 (2026) 137-149. doi:10.1016/j.tig.2025.09.001
 DOI:10.1016/j.tig.2025.09.001
 Reference:Bleidorn C, Podsiadlowski L, Sandberg F, Martin S, Vogler AP. The untapped potential of short-read sequencing in biodiversity research. Trends Genet. 2026;42:137-149. https://doi.org/10.1016/j.tig.2025.09.001
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/short-read-genome-skimming
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s scientific content: GBF motivation, short-read sequencing and genome skimming, museomics (Barcode Blitz), type genomics, assembly-free phylogenomics (USCOs, UCEs, k-mers), environmental DNA/metagenomics and biomass estimation, hologenome/holobiont concept, and sequencing economics.- transcript topics: GBF motivation and large-scale biodiversity monitoring; Short-read sequencing basics and genome skimming; Museomics and Barcode Blitz (museum collections, degraded DNA); Type genomics and reference database curation; Assembly-free phylogenomics (USCOs, UCEs, k-mers); Environmental DNA/metagenomics and biomass estimation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Short-read sequencing provides a universal data source across scales from genomes to ecosystems and supports GBF objectives.- Genome...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[303: Short-read sequencing and genome skimming for biodiversity monitoring and phylogenomics]]>
                </itunes:title>
                                    <itunes:episode>303</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Bleidorn C et al., Trends in Genetics, 42 (2026) 137-149. doi:10.1016/j.tig.2025.09.001 - This review shows how short-read shotgun sequencing and genome skimming recover organellar genomes, estimate genome size and repeat content, and enable scalable biodiversity monitoring. Key terms: short-read sequencing, genome skimming, metagenomics, museum genomics, phylogenomics.</p>
<p> Study Highlights:<br />The authors review applications across eukaryotic biodiversity, museum specimens, bulk samples and eDNA using short-read shotgun sequencing and genome skimming. They detail assembly-free and mapping-based bioinformatic methods (k-mer analyses, Read2Tree, Kraken2/CONSULT) and target-enrichment approaches for recovering phylogenetic markers. Quantitatively, low-coverage skims (from &lt;1× to ~20×) can reliably recover organellar genomes and estimate genome size and repeat content using tools such as RESPECT and GenomeScope. Functionally, these approaches enable rapid reference database building, biomass estimation, and scalable monitoring that support the Global Biodiversity Framework.</p>
<p> Conclusion:<br />Short-read sequencing remains a cost-effective, broadly applicable toolkit that complements long-read references by enabling genome skimming, genome-size and repeat estimation, phylogenetics from low-coverage data, and museum-based biodiversity sampling.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The untapped potential of short-read sequencing in biodiversity research</p>
<p> First author:<br />Bleidorn C</p>
<p> Journal:<br />Trends in Genetics, 42 (2026) 137-149. doi:10.1016/j.tig.2025.09.001</p>
<p> DOI:<br />10.1016/j.tig.2025.09.001</p>
<p> Reference:<br />Bleidorn C, Podsiadlowski L, Sandberg F, Martin S, Vogler AP. The untapped potential of short-read sequencing in biodiversity research. Trends Genet. 2026;42:137-149. https://doi.org/10.1016/j.tig.2025.09.001</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/short-read-genome-skimming</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s scientific content: GBF motivation, short-read sequencing and genome skimming, museomics (Barcode Blitz), type genomics, assembly-free phylogenomics (USCOs, UCEs, k-mers), environmental DNA/metagenomics and biomass estimation, hologenome/holobiont concept, and sequencing economics.<br />- transcript topics: GBF motivation and large-scale biodiversity monitoring; Short-read sequencing basics and genome skimming; Museomics and Barcode Blitz (museum collections, degraded DNA); Type genomics and reference database curation; Assembly-free phylogenomics (USCOs, UCEs, k-mers); Environmental DNA/metagenomics and biomass estimation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Short-read sequencing provides a universal data source across scales from genomes to ecosystems and supports GBF objectives.<br />- Genome skimming yields high-copy DNA (organellar genomes, ribosomal repeats) from low-coverage data (5×–20×; ultralow &lt;5× sometimes).<br />- Museum collections enable large-scale genomic data generation (e.g., Barcode Blitz) from degraded DNA.<br />- Type genomics creates validated reference datasets by sequencing type material.<br />- USCOs and assembly-free methods (e.g., Skmer, Mash, Read2Tree) enable phylogenomics from unassembled reads.<br />- PCR/metabarcoding biases are bypassed by genome skimming/metagenomics, improving biomass estimates.</p>
<p>QC result: Pass.</p>]]>
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                    <![CDATA[Bleidorn C et al., Trends in Genetics, 42 (2026) 137-149. doi:10.1016/j.tig.2025.09.001 - This review shows how short-read shotgun sequencing and genome skimming recover organellar genomes, estimate genome size and repeat content, and enable scalable biodiversity monitoring. Key terms: short-read sequencing, genome skimming, metagenomics, museum genomics, phylogenomics.
 Study Highlights:The authors review applications across eukaryotic biodiversity, museum specimens, bulk samples and eDNA using short-read shotgun sequencing and genome skimming. They detail assembly-free and mapping-based bioinformatic methods (k-mer analyses, Read2Tree, Kraken2/CONSULT) and target-enrichment approaches for recovering phylogenetic markers. Quantitatively, low-coverage skims (from <1× to ~20×) can reliably recover organellar genomes and estimate genome size and repeat content using tools such as RESPECT and GenomeScope. Functionally, these approaches enable rapid reference database building, biomass estimation, and scalable monitoring that support the Global Biodiversity Framework.
 Conclusion:Short-read sequencing remains a cost-effective, broadly applicable toolkit that complements long-read references by enabling genome skimming, genome-size and repeat estimation, phylogenetics from low-coverage data, and museum-based biodiversity sampling.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The untapped potential of short-read sequencing in biodiversity research
 First author:Bleidorn C
 Journal:Trends in Genetics, 42 (2026) 137-149. doi:10.1016/j.tig.2025.09.001
 DOI:10.1016/j.tig.2025.09.001
 Reference:Bleidorn C, Podsiadlowski L, Sandberg F, Martin S, Vogler AP. The untapped potential of short-read sequencing in biodiversity research. Trends Genet. 2026;42:137-149. https://doi.org/10.1016/j.tig.2025.09.001
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/short-read-genome-skimming
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s scientific content: GBF motivation, short-read sequencing and genome skimming, museomics (Barcode Blitz), type genomics, assembly-free phylogenomics (USCOs, UCEs, k-mers), environmental DNA/metagenomics and biomass estimation, hologenome/holobiont concept, and sequencing economics.- transcript topics: GBF motivation and large-scale biodiversity monitoring; Short-read sequencing basics and genome skimming; Museomics and Barcode Blitz (museum collections, degraded DNA); Type genomics and reference database curation; Assembly-free phylogenomics (USCOs, UCEs, k-mers); Environmental DNA/metagenomics and biomass estimation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Short-read sequencing provides a universal data source across scales from genomes to ecosystems and supports GBF objectives.- Genome...]]>
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                                                                            <itunes:duration>00:29:00</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                <title>
                    <![CDATA[302 auf Deutsch: SMN1/SMN2-Spleißen und Mechanismen im letzten Exon — Hommage an Brunhilde Wirth]]>
                </title>
                <pubDate>Fri, 27 Feb 2026 11:07:54 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2375775</guid>
                                    <link>https://basebybase.castos.com/episodes/smn1-smn2-splicing-wirth-2</link>
                                <description>
                                            <![CDATA[<p>Ein <b>Hommage-Dossier</b>, das die wissenschaftliche Laufbahn von <b>Prof. Brunhilde Wirth</b> würdigt und Arbeiten zum <b>alternativen Spleißen von SMN1/SMN2</b> hervorhebt. Im Fokus stehen Studien aus der molekularen Genetik und funktionelle Assays, die die Auswirkungen von Varianten bei <b>SMA</b> aufgeklärt haben.</p>
<p></p>
<p><b>Studien-Highlights:</b><b></b></p>
<p>Dieses Dossier beleuchtet jahrzehntelange Arbeit in der Humangenetik und zur spinalen Muskelatrophie und betont insbesondere Studien zu <b>SMN1</b> und <b>SMN2</b>. Zu den zentralen Methoden gehörten molekulargenetische Analysen, Spleißanalysen, Messungen der Proteinexpression sowie Stabilitätsassays zur funktionellen Validierung von Varianteneffekten. Ein zentraler mechanistischer Befund ist, dass Störungen sehr spät in der kodierenden Sequenz sich anders verhalten können, als einfache Modelle vorhersagen: Einige Transkripte entgehen dem erwarteten nonsense-mediated decay (NMD) und können die Proteinstabilität verändern. Diese experimentell validierten Erkenntnisse haben direkte Bedeutung für diagnostische Interpretation, Neugeborenen-Screening und Genotyp-Phänotyp-Korrelation bei SMA.</p>
<p></p>
<p><b>Fazit:</b><b></b></p>
<p>Prof. Wirths Karriere zeigt, dass die experimentelle Validierung von Spleiß- und Proteinstabilitäts-Effekten von SMN1/SMN2-Varianten für eine präzise klinische Interpretation bei SMA essenziell ist.</p>
<p></p>
<p><b>Musik:</b><b></b></p>
<p>Genieße die Musik, die auf diesem Beitrag basiert, am Ende der Episode.</p>
<p></p>
<p><b>Support:</b><b></b></p>
<p>Base by Base – Stripe-Spenden: <a href="https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00" target="_blank" title="https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00" rel="noreferrer noopener">https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</a></p>
<p>Offizielle Website: <a href="https://basebybase.com" target="_blank" title="https://basebybase.com" rel="noreferrer noopener">https://basebybase.com</a></p>
<p></p>
<p>Bei PaperCast Base by Base entdeckst du Aktuelles aus Genomik, funktioneller Genomik, struktureller Genomik und Proteomik.</p>
<p></p>
<p><b>Episodenlink: </b><a href="basebybase.com/episodes/smn1-smn2-splicing-wirth-2/" title="basebybase.com/episodes/smn1-smn2-splicing-wirth-2/">basebybase.com/episodes/smn1-smn2-splicing-wirth-2/</a></p>
<p></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ein Hommage-Dossier, das die wissenschaftliche Laufbahn von Prof. Brunhilde Wirth würdigt und Arbeiten zum alternativen Spleißen von SMN1/SMN2 hervorhebt. Im Fokus stehen Studien aus der molekularen Genetik und funktionelle Assays, die die Auswirkungen von Varianten bei SMA aufgeklärt haben.

Studien-Highlights:
Dieses Dossier beleuchtet jahrzehntelange Arbeit in der Humangenetik und zur spinalen Muskelatrophie und betont insbesondere Studien zu SMN1 und SMN2. Zu den zentralen Methoden gehörten molekulargenetische Analysen, Spleißanalysen, Messungen der Proteinexpression sowie Stabilitätsassays zur funktionellen Validierung von Varianteneffekten. Ein zentraler mechanistischer Befund ist, dass Störungen sehr spät in der kodierenden Sequenz sich anders verhalten können, als einfache Modelle vorhersagen: Einige Transkripte entgehen dem erwarteten nonsense-mediated decay (NMD) und können die Proteinstabilität verändern. Diese experimentell validierten Erkenntnisse haben direkte Bedeutung für diagnostische Interpretation, Neugeborenen-Screening und Genotyp-Phänotyp-Korrelation bei SMA.

Fazit:
Prof. Wirths Karriere zeigt, dass die experimentelle Validierung von Spleiß- und Proteinstabilitäts-Effekten von SMN1/SMN2-Varianten für eine präzise klinische Interpretation bei SMA essenziell ist.

Musik:
Genieße die Musik, die auf diesem Beitrag basiert, am Ende der Episode.

Support:
Base by Base – Stripe-Spenden: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
Offizielle Website: https://basebybase.com

Bei PaperCast Base by Base entdeckst du Aktuelles aus Genomik, funktioneller Genomik, struktureller Genomik und Proteomik.

Episodenlink: basebybase.com/episodes/smn1-smn2-splicing-wirth-2/
]]>
                </itunes:subtitle>
                                    <itunes:episodeType>bonus</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[302 auf Deutsch: SMN1/SMN2-Spleißen und Mechanismen im letzten Exon — Hommage an Brunhilde Wirth]]>
                </itunes:title>
                                    <itunes:episode>302</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ein <b>Hommage-Dossier</b>, das die wissenschaftliche Laufbahn von <b>Prof. Brunhilde Wirth</b> würdigt und Arbeiten zum <b>alternativen Spleißen von SMN1/SMN2</b> hervorhebt. Im Fokus stehen Studien aus der molekularen Genetik und funktionelle Assays, die die Auswirkungen von Varianten bei <b>SMA</b> aufgeklärt haben.</p>
<p></p>
<p><b>Studien-Highlights:</b><b></b></p>
<p>Dieses Dossier beleuchtet jahrzehntelange Arbeit in der Humangenetik und zur spinalen Muskelatrophie und betont insbesondere Studien zu <b>SMN1</b> und <b>SMN2</b>. Zu den zentralen Methoden gehörten molekulargenetische Analysen, Spleißanalysen, Messungen der Proteinexpression sowie Stabilitätsassays zur funktionellen Validierung von Varianteneffekten. Ein zentraler mechanistischer Befund ist, dass Störungen sehr spät in der kodierenden Sequenz sich anders verhalten können, als einfache Modelle vorhersagen: Einige Transkripte entgehen dem erwarteten nonsense-mediated decay (NMD) und können die Proteinstabilität verändern. Diese experimentell validierten Erkenntnisse haben direkte Bedeutung für diagnostische Interpretation, Neugeborenen-Screening und Genotyp-Phänotyp-Korrelation bei SMA.</p>
<p></p>
<p><b>Fazit:</b><b></b></p>
<p>Prof. Wirths Karriere zeigt, dass die experimentelle Validierung von Spleiß- und Proteinstabilitäts-Effekten von SMN1/SMN2-Varianten für eine präzise klinische Interpretation bei SMA essenziell ist.</p>
<p></p>
<p><b>Musik:</b><b></b></p>
<p>Genieße die Musik, die auf diesem Beitrag basiert, am Ende der Episode.</p>
<p></p>
<p><b>Support:</b><b></b></p>
<p>Base by Base – Stripe-Spenden: <a href="https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00" target="_blank" title="https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00" rel="noreferrer noopener">https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</a></p>
<p>Offizielle Website: <a href="https://basebybase.com" target="_blank" title="https://basebybase.com" rel="noreferrer noopener">https://basebybase.com</a></p>
<p></p>
<p>Bei PaperCast Base by Base entdeckst du Aktuelles aus Genomik, funktioneller Genomik, struktureller Genomik und Proteomik.</p>
<p></p>
<p><b>Episodenlink: </b><a href="basebybase.com/episodes/smn1-smn2-splicing-wirth-2/" title="basebybase.com/episodes/smn1-smn2-splicing-wirth-2/">basebybase.com/episodes/smn1-smn2-splicing-wirth-2/</a></p>
<p></p>]]>
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                                <itunes:summary>
                    <![CDATA[Ein Hommage-Dossier, das die wissenschaftliche Laufbahn von Prof. Brunhilde Wirth würdigt und Arbeiten zum alternativen Spleißen von SMN1/SMN2 hervorhebt. Im Fokus stehen Studien aus der molekularen Genetik und funktionelle Assays, die die Auswirkungen von Varianten bei SMA aufgeklärt haben.

Studien-Highlights:
Dieses Dossier beleuchtet jahrzehntelange Arbeit in der Humangenetik und zur spinalen Muskelatrophie und betont insbesondere Studien zu SMN1 und SMN2. Zu den zentralen Methoden gehörten molekulargenetische Analysen, Spleißanalysen, Messungen der Proteinexpression sowie Stabilitätsassays zur funktionellen Validierung von Varianteneffekten. Ein zentraler mechanistischer Befund ist, dass Störungen sehr spät in der kodierenden Sequenz sich anders verhalten können, als einfache Modelle vorhersagen: Einige Transkripte entgehen dem erwarteten nonsense-mediated decay (NMD) und können die Proteinstabilität verändern. Diese experimentell validierten Erkenntnisse haben direkte Bedeutung für diagnostische Interpretation, Neugeborenen-Screening und Genotyp-Phänotyp-Korrelation bei SMA.

Fazit:
Prof. Wirths Karriere zeigt, dass die experimentelle Validierung von Spleiß- und Proteinstabilitäts-Effekten von SMN1/SMN2-Varianten für eine präzise klinische Interpretation bei SMA essenziell ist.

Musik:
Genieße die Musik, die auf diesem Beitrag basiert, am Ende der Episode.

Support:
Base by Base – Stripe-Spenden: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
Offizielle Website: https://basebybase.com

Bei PaperCast Base by Base entdeckst du Aktuelles aus Genomik, funktioneller Genomik, struktureller Genomik und Proteomik.

Episodenlink: basebybase.com/episodes/smn1-smn2-splicing-wirth-2/
]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:13:58</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                            </item>
                    <item>
                <title>
                    <![CDATA[302: SMN1/SMN2 splicing and last-exon mechanisms — Tribute to Brunhilde Wirth]]>
                </title>
                <pubDate>Thu, 26 Feb 2026 13:33:18 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2374982</guid>
                                    <link>https://basebybase.castos.com/episodes/smn1-smn2-splicing-wirth</link>
                                <description>
                                            <![CDATA[<p>The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth - Special tribute episode honoring Prof. Dr. Brunhilde Wirth and synthesizing recurring themes across her work on SMN1/SMN2 splicing, variant interpretation, and spinal muscular atrophy.</p>
<p> Study Highlights:<br />This special episode is based on a tribute dossier rather than a single new primary research paper. It highlights recurring scientific themes across Brunhilde Wirth's career: SMN1/SMN2 biology, exon splicing, functional validation of variants, nonsense-mediated decay edge cases, and genotype-phenotype interpretation in SMA.</p>
<p> Conclusion:<br />This release should be read as an editorial tribute and curated scientific overview, not as a summary of one canonical article.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Source document:<br />The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth</p>
<p> Source type:<br />Editorial tribute dossier / multi-source compilation</p>
<p> Reference:<br />The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth. Editorial tribute dossier and curated retrospective source text.</p>
<p> License:<br />Not specified in the provided text.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/smn1-smn2-splicing-wirth</p>
<p> QC:<br />This episode was reviewed as a special editorial release.</p>
<p>QC Scope:<br />- source-document framing, descriptive metadata, and publication text<br />- excludes automated single-article AI QC because this episode is a curated tribute dossier / multi-source compilation rather than one canonical research paper<br />- title, framing, and source attribution were reviewed manually</p>
<p>QC Summary:<br />- production mode: editorial tribute / multi-source compilation<br />- single-article AI QC: not applicable<br />- listener note: this episode synthesizes a tribute dossier celebrating Brunhilde Wirth's scientific career and related SMA/splicing themes</p>
<p>Metadata Audited:<br />- episode_title<br />- source_document_title<br />- source_type<br />- reference<br />- license</p>
<p>Factual Items Audited:<br />- episode explicitly framed as a tribute dossier / multi-source compilation<br />- no single canonical research article is represented as the sole source<br />- publication description was aligned to dossier-style source material<br />- manual editorial review approved the release</p>
<p>QC result: Editorial exception. This episode was approved after manual review.</p>
<h3>Chapters</h3>
<ul><li>(00:00:10) - The End of an Era in Genetic Science</li><li>(00:01:57) - The discovery of SMN2 in spinal cord disease</li><li>(00:06:13) - The journey from bench to bed</li><li>(00:08:00) - The mystery of SMA</li><li>(00:12:18) - A Legacy of SMA: Katherine Worth's work</li><li>(00:15:31) - Stitch the Science Into Life</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth - Special tribute episode honoring Prof. Dr. Brunhilde Wirth and synthesizing recurring themes across her work on SMN1/SMN2 splicing, variant interpretation, and spinal muscular atrophy.
 Study Highlights:This special episode is based on a tribute dossier rather than a single new primary research paper. It highlights recurring scientific themes across Brunhilde Wirth's career: SMN1/SMN2 biology, exon splicing, functional validation of variants, nonsense-mediated decay edge cases, and genotype-phenotype interpretation in SMA.
 Conclusion:This release should be read as an editorial tribute and curated scientific overview, not as a summary of one canonical article.
 Music:Enjoy the music based on this article at the end of the episode.
 Source document:The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth
 Source type:Editorial tribute dossier / multi-source compilation
 Reference:The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth. Editorial tribute dossier and curated retrospective source text.
 License:Not specified in the provided text.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/smn1-smn2-splicing-wirth
 QC:This episode was reviewed as a special editorial release.
QC Scope:- source-document framing, descriptive metadata, and publication text- excludes automated single-article AI QC because this episode is a curated tribute dossier / multi-source compilation rather than one canonical research paper- title, framing, and source attribution were reviewed manually
QC Summary:- production mode: editorial tribute / multi-source compilation- single-article AI QC: not applicable- listener note: this episode synthesizes a tribute dossier celebrating Brunhilde Wirth's scientific career and related SMA/splicing themes
Metadata Audited:- episode_title- source_document_title- source_type- reference- license
Factual Items Audited:- episode explicitly framed as a tribute dossier / multi-source compilation- no single canonical research article is represented as the sole source- publication description was aligned to dossier-style source material- manual editorial review approved the release
QC result: Editorial exception. This episode was approved after manual review.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[302: SMN1/SMN2 splicing and last-exon mechanisms — Tribute to Brunhilde Wirth]]>
                </itunes:title>
                                    <itunes:episode>302</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth - Special tribute episode honoring Prof. Dr. Brunhilde Wirth and synthesizing recurring themes across her work on SMN1/SMN2 splicing, variant interpretation, and spinal muscular atrophy.</p>
<p> Study Highlights:<br />This special episode is based on a tribute dossier rather than a single new primary research paper. It highlights recurring scientific themes across Brunhilde Wirth's career: SMN1/SMN2 biology, exon splicing, functional validation of variants, nonsense-mediated decay edge cases, and genotype-phenotype interpretation in SMA.</p>
<p> Conclusion:<br />This release should be read as an editorial tribute and curated scientific overview, not as a summary of one canonical article.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Source document:<br />The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth</p>
<p> Source type:<br />Editorial tribute dossier / multi-source compilation</p>
<p> Reference:<br />The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth. Editorial tribute dossier and curated retrospective source text.</p>
<p> License:<br />Not specified in the provided text.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/smn1-smn2-splicing-wirth</p>
<p> QC:<br />This episode was reviewed as a special editorial release.</p>
<p>QC Scope:<br />- source-document framing, descriptive metadata, and publication text<br />- excludes automated single-article AI QC because this episode is a curated tribute dossier / multi-source compilation rather than one canonical research paper<br />- title, framing, and source attribution were reviewed manually</p>
<p>QC Summary:<br />- production mode: editorial tribute / multi-source compilation<br />- single-article AI QC: not applicable<br />- listener note: this episode synthesizes a tribute dossier celebrating Brunhilde Wirth's scientific career and related SMA/splicing themes</p>
<p>Metadata Audited:<br />- episode_title<br />- source_document_title<br />- source_type<br />- reference<br />- license</p>
<p>Factual Items Audited:<br />- episode explicitly framed as a tribute dossier / multi-source compilation<br />- no single canonical research article is represented as the sole source<br />- publication description was aligned to dossier-style source material<br />- manual editorial review approved the release</p>
<p>QC result: Editorial exception. This episode was approved after manual review.</p>]]>
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                    <![CDATA[The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth - Special tribute episode honoring Prof. Dr. Brunhilde Wirth and synthesizing recurring themes across her work on SMN1/SMN2 splicing, variant interpretation, and spinal muscular atrophy.
 Study Highlights:This special episode is based on a tribute dossier rather than a single new primary research paper. It highlights recurring scientific themes across Brunhilde Wirth's career: SMN1/SMN2 biology, exon splicing, functional validation of variants, nonsense-mediated decay edge cases, and genotype-phenotype interpretation in SMA.
 Conclusion:This release should be read as an editorial tribute and curated scientific overview, not as a summary of one canonical article.
 Music:Enjoy the music based on this article at the end of the episode.
 Source document:The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth
 Source type:Editorial tribute dossier / multi-source compilation
 Reference:The Last Exon Light: A Tribute Dossier Celebrating the Scientific Career of Prof. Dr. Brunhilde Wirth. Editorial tribute dossier and curated retrospective source text.
 License:Not specified in the provided text.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/smn1-smn2-splicing-wirth
 QC:This episode was reviewed as a special editorial release.
QC Scope:- source-document framing, descriptive metadata, and publication text- excludes automated single-article AI QC because this episode is a curated tribute dossier / multi-source compilation rather than one canonical research paper- title, framing, and source attribution were reviewed manually
QC Summary:- production mode: editorial tribute / multi-source compilation- single-article AI QC: not applicable- listener note: this episode synthesizes a tribute dossier celebrating Brunhilde Wirth's scientific career and related SMA/splicing themes
Metadata Audited:- episode_title- source_document_title- source_type- reference- license
Factual Items Audited:- episode explicitly framed as a tribute dossier / multi-source compilation- no single canonical research article is represented as the sole source- publication description was aligned to dossier-style source material- manual editorial review approved the release
QC result: Editorial exception. This episode was approved after manual review.]]>
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                                                                            <itunes:duration>00:24:12</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                <title>
                    <![CDATA[301: Biobank Mendelian randomization prioritizes 6,447 genes and nominates ANXA2 for dyslipidemia]]>
                </title>
                <pubDate>Wed, 25 Feb 2026 05:43:41 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2373358</guid>
                                    <link>https://basebybase.castos.com/episodes/biobank-mendelian-randomization-targets</link>
                                <description>
                                            <![CDATA[<p>Ferolito BR et al., Human Genetics and Genomics Advances, 7 (2026) 100556. doi:10.1016/j.xhgg.2025.100556 - Meta-analysis of MVP, UK Biobank and FinnGen with Mendelian randomization using eQTL/pQTL instruments implicates 6,447 genes and 69,669 causal gene-trait links. Key terms: Mendelian randomization, biobank meta-analysis, pQTL, drug target discovery, machine learning ranking.</p>
<p> Study Highlights:<br />The authors meta-analyzed GWAS from MVP, UK Biobank, and FinnGen across 2,003 harmonized phenotypes and used cis-eQTLs and cis-pQTLs from GTEx, eQTLGen, ARIC, Fenland, and deCODE to perform two-sample Mendelian randomization. They identified 69,669 significant gene-trait pairs (p ≤ 1.6×10⁻⁹) representing 6,447 genes with strong causal evidence and performed colocalization and sensitivity analyses to assess concordance. An XGBoost classifier trained on ChEMBL-derived approved targets and engineered biological features achieved a precision-recall AUC of 0.79 to rank MR hits by likelihood of clinical success. The resource yields rediscoveries and repurposing leads (e.g., ANXA2 nominated for lipid regulation) and supplies a prioritized list for downstream target evaluation.</p>
<p> Conclusion:<br />Integrating &gt;1.2 million individuals' GWAS from large biobanks with eQTL/pQTL Mendelian randomization and orthogonal annotations yields 69,669 candidate causal gene-trait links and a machine-learning ranking that prioritizes targets for drug development.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Leveraging large-scale biobanks for therapeutic target discovery</p>
<p> First author:<br />Ferolito BR</p>
<p> Journal:<br />Human Genetics and Genomics Advances, 7 (2026) 100556. doi:10.1016/j.xhgg.2025.100556</p>
<p> DOI:<br />10.1016/j.xhgg.2025.100556</p>
<p> Reference:<br />Ferolito BR, Dashti H, Giambartolomei C, Peloso GM, Golden DJ, Gravel-Pucillo K, Rasooly D, Horimoto ARV R, Matty R, Gaziano L, Liu Y, Smit IA, Zdrazil B, Tsepilov Y, Costa L, Kosik N, Huffman JE, Tartaglia GG, Bini G, Proietti G, Ioannidis H, Karim MA, Hunter F, Hemani G, Butterworth AS, Di Angelantonio E, Langenberg C, Ghoussaini M, Leach AR, Liao KP, Damrauer S, Selva LE, Whitbourne S, Tsao PS, Moser J, Gaunt T, Cai T, Whittaker JC, Million Veteran Program, Casas JP, Muralidhar S, Gaziano JM, Cho K, Pereira AC. Leveraging large-scale biobanks for therapeutic target discovery. Human Genetics and Genomics Advances. 7 (2026) 100556. https://doi.org/10.1016/j.xhgg.2025.100556.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/biobank-mendelian-randomization-targets</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing Mendelian randomization (MR) as a nature-encoded trial, biobank meta-analysis (MVP/UKBB/FinnGen), molecular instruments (cis-eQTL/pQTL), concordant signal filtering, ML ranking, rediscovery/repurposing highlights, and lipid-target case study with ANXA2.<br />- transcript topics: Mendelian randomization as a natural clinical trial; Biobank meta-analysis (MVP, UKBB, FinnGen) and phenome-wide scope; cis-eQTL and cis-pQTL instrument sources; Two-sample MR and concordant-instrument filtering; XGBoost...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Base by Bass</li><li>(00:00:31) - Seeking the cause of disease with a single trial</li><li>(00:03:01) - The Mendelian randomization study</li><li>(00:07:51) - The Machine-Learning Drug Hunter</li><li>(00:10:49) - Treasure Hunt for old drugs</li><li>(00:12:07) - The New Way to Lower Cholesterol</li><li>(00:16:19) - Finding the cures to diseases by sequencing their genomes</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ferolito BR et al., Human Genetics and Genomics Advances, 7 (2026) 100556. doi:10.1016/j.xhgg.2025.100556 - Meta-analysis of MVP, UK Biobank and FinnGen with Mendelian randomization using eQTL/pQTL instruments implicates 6,447 genes and 69,669 causal gene-trait links. Key terms: Mendelian randomization, biobank meta-analysis, pQTL, drug target discovery, machine learning ranking.
 Study Highlights:The authors meta-analyzed GWAS from MVP, UK Biobank, and FinnGen across 2,003 harmonized phenotypes and used cis-eQTLs and cis-pQTLs from GTEx, eQTLGen, ARIC, Fenland, and deCODE to perform two-sample Mendelian randomization. They identified 69,669 significant gene-trait pairs (p ≤ 1.6×10⁻⁹) representing 6,447 genes with strong causal evidence and performed colocalization and sensitivity analyses to assess concordance. An XGBoost classifier trained on ChEMBL-derived approved targets and engineered biological features achieved a precision-recall AUC of 0.79 to rank MR hits by likelihood of clinical success. The resource yields rediscoveries and repurposing leads (e.g., ANXA2 nominated for lipid regulation) and supplies a prioritized list for downstream target evaluation.
 Conclusion:Integrating >1.2 million individuals' GWAS from large biobanks with eQTL/pQTL Mendelian randomization and orthogonal annotations yields 69,669 candidate causal gene-trait links and a machine-learning ranking that prioritizes targets for drug development.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Leveraging large-scale biobanks for therapeutic target discovery
 First author:Ferolito BR
 Journal:Human Genetics and Genomics Advances, 7 (2026) 100556. doi:10.1016/j.xhgg.2025.100556
 DOI:10.1016/j.xhgg.2025.100556
 Reference:Ferolito BR, Dashti H, Giambartolomei C, Peloso GM, Golden DJ, Gravel-Pucillo K, Rasooly D, Horimoto ARV R, Matty R, Gaziano L, Liu Y, Smit IA, Zdrazil B, Tsepilov Y, Costa L, Kosik N, Huffman JE, Tartaglia GG, Bini G, Proietti G, Ioannidis H, Karim MA, Hunter F, Hemani G, Butterworth AS, Di Angelantonio E, Langenberg C, Ghoussaini M, Leach AR, Liao KP, Damrauer S, Selva LE, Whitbourne S, Tsao PS, Moser J, Gaunt T, Cai T, Whittaker JC, Million Veteran Program, Casas JP, Muralidhar S, Gaziano JM, Cho K, Pereira AC. Leveraging large-scale biobanks for therapeutic target discovery. Human Genetics and Genomics Advances. 7 (2026) 100556. https://doi.org/10.1016/j.xhgg.2025.100556.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/biobank-mendelian-randomization-targets
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing Mendelian randomization (MR) as a nature-encoded trial, biobank meta-analysis (MVP/UKBB/FinnGen), molecular instruments (cis-eQTL/pQTL), concordant signal filtering, ML ranking, rediscovery/repurposing highlights, and lipid-target case study with ANXA2.- transcript topics: Mendelian randomization as a natural clinical trial; Biobank meta-analysis (MVP, UKBB, FinnGen) and phenome-wide scope; cis-eQTL and cis-pQTL instrument sources; Two-sample MR and concordant-instrument filtering; XGBoost...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[301: Biobank Mendelian randomization prioritizes 6,447 genes and nominates ANXA2 for dyslipidemia]]>
                </itunes:title>
                                    <itunes:episode>301</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ferolito BR et al., Human Genetics and Genomics Advances, 7 (2026) 100556. doi:10.1016/j.xhgg.2025.100556 - Meta-analysis of MVP, UK Biobank and FinnGen with Mendelian randomization using eQTL/pQTL instruments implicates 6,447 genes and 69,669 causal gene-trait links. Key terms: Mendelian randomization, biobank meta-analysis, pQTL, drug target discovery, machine learning ranking.</p>
<p> Study Highlights:<br />The authors meta-analyzed GWAS from MVP, UK Biobank, and FinnGen across 2,003 harmonized phenotypes and used cis-eQTLs and cis-pQTLs from GTEx, eQTLGen, ARIC, Fenland, and deCODE to perform two-sample Mendelian randomization. They identified 69,669 significant gene-trait pairs (p ≤ 1.6×10⁻⁹) representing 6,447 genes with strong causal evidence and performed colocalization and sensitivity analyses to assess concordance. An XGBoost classifier trained on ChEMBL-derived approved targets and engineered biological features achieved a precision-recall AUC of 0.79 to rank MR hits by likelihood of clinical success. The resource yields rediscoveries and repurposing leads (e.g., ANXA2 nominated for lipid regulation) and supplies a prioritized list for downstream target evaluation.</p>
<p> Conclusion:<br />Integrating &gt;1.2 million individuals' GWAS from large biobanks with eQTL/pQTL Mendelian randomization and orthogonal annotations yields 69,669 candidate causal gene-trait links and a machine-learning ranking that prioritizes targets for drug development.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Leveraging large-scale biobanks for therapeutic target discovery</p>
<p> First author:<br />Ferolito BR</p>
<p> Journal:<br />Human Genetics and Genomics Advances, 7 (2026) 100556. doi:10.1016/j.xhgg.2025.100556</p>
<p> DOI:<br />10.1016/j.xhgg.2025.100556</p>
<p> Reference:<br />Ferolito BR, Dashti H, Giambartolomei C, Peloso GM, Golden DJ, Gravel-Pucillo K, Rasooly D, Horimoto ARV R, Matty R, Gaziano L, Liu Y, Smit IA, Zdrazil B, Tsepilov Y, Costa L, Kosik N, Huffman JE, Tartaglia GG, Bini G, Proietti G, Ioannidis H, Karim MA, Hunter F, Hemani G, Butterworth AS, Di Angelantonio E, Langenberg C, Ghoussaini M, Leach AR, Liao KP, Damrauer S, Selva LE, Whitbourne S, Tsao PS, Moser J, Gaunt T, Cai T, Whittaker JC, Million Veteran Program, Casas JP, Muralidhar S, Gaziano JM, Cho K, Pereira AC. Leveraging large-scale biobanks for therapeutic target discovery. Human Genetics and Genomics Advances. 7 (2026) 100556. https://doi.org/10.1016/j.xhgg.2025.100556.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/biobank-mendelian-randomization-targets</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing Mendelian randomization (MR) as a nature-encoded trial, biobank meta-analysis (MVP/UKBB/FinnGen), molecular instruments (cis-eQTL/pQTL), concordant signal filtering, ML ranking, rediscovery/repurposing highlights, and lipid-target case study with ANXA2.<br />- transcript topics: Mendelian randomization as a natural clinical trial; Biobank meta-analysis (MVP, UKBB, FinnGen) and phenome-wide scope; cis-eQTL and cis-pQTL instrument sources; Two-sample MR and concordant-instrument filtering; XGBoost classifier for target prioritization; Drug rediscovery and repurposing (ANXA2, PCSK9, HMGCR)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 69,669 gene-trait pairs with strong causal evidence (p ≤ 1.6×10⁻⁹)<br />- 6,447 genes with strong causal evidence across 2,003 phenotypes<br />- rediscovered ~9% of approved drug targets in ChEMBL34<br />- ML ranking classifier (XGBoost) with precision-recall AUC = 0.79<br />- ANXA2 nominated as a lipid-regulation target and acts via PCSK9 inhibition<br />- Trastuzumab-associated cardiotoxicity flagged as a risk</p>
<p>QC result: Pass.</p>]]>
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                    <![CDATA[Ferolito BR et al., Human Genetics and Genomics Advances, 7 (2026) 100556. doi:10.1016/j.xhgg.2025.100556 - Meta-analysis of MVP, UK Biobank and FinnGen with Mendelian randomization using eQTL/pQTL instruments implicates 6,447 genes and 69,669 causal gene-trait links. Key terms: Mendelian randomization, biobank meta-analysis, pQTL, drug target discovery, machine learning ranking.
 Study Highlights:The authors meta-analyzed GWAS from MVP, UK Biobank, and FinnGen across 2,003 harmonized phenotypes and used cis-eQTLs and cis-pQTLs from GTEx, eQTLGen, ARIC, Fenland, and deCODE to perform two-sample Mendelian randomization. They identified 69,669 significant gene-trait pairs (p ≤ 1.6×10⁻⁹) representing 6,447 genes with strong causal evidence and performed colocalization and sensitivity analyses to assess concordance. An XGBoost classifier trained on ChEMBL-derived approved targets and engineered biological features achieved a precision-recall AUC of 0.79 to rank MR hits by likelihood of clinical success. The resource yields rediscoveries and repurposing leads (e.g., ANXA2 nominated for lipid regulation) and supplies a prioritized list for downstream target evaluation.
 Conclusion:Integrating >1.2 million individuals' GWAS from large biobanks with eQTL/pQTL Mendelian randomization and orthogonal annotations yields 69,669 candidate causal gene-trait links and a machine-learning ranking that prioritizes targets for drug development.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Leveraging large-scale biobanks for therapeutic target discovery
 First author:Ferolito BR
 Journal:Human Genetics and Genomics Advances, 7 (2026) 100556. doi:10.1016/j.xhgg.2025.100556
 DOI:10.1016/j.xhgg.2025.100556
 Reference:Ferolito BR, Dashti H, Giambartolomei C, Peloso GM, Golden DJ, Gravel-Pucillo K, Rasooly D, Horimoto ARV R, Matty R, Gaziano L, Liu Y, Smit IA, Zdrazil B, Tsepilov Y, Costa L, Kosik N, Huffman JE, Tartaglia GG, Bini G, Proietti G, Ioannidis H, Karim MA, Hunter F, Hemani G, Butterworth AS, Di Angelantonio E, Langenberg C, Ghoussaini M, Leach AR, Liao KP, Damrauer S, Selva LE, Whitbourne S, Tsao PS, Moser J, Gaunt T, Cai T, Whittaker JC, Million Veteran Program, Casas JP, Muralidhar S, Gaziano JM, Cho K, Pereira AC. Leveraging large-scale biobanks for therapeutic target discovery. Human Genetics and Genomics Advances. 7 (2026) 100556. https://doi.org/10.1016/j.xhgg.2025.100556.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/biobank-mendelian-randomization-targets
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing Mendelian randomization (MR) as a nature-encoded trial, biobank meta-analysis (MVP/UKBB/FinnGen), molecular instruments (cis-eQTL/pQTL), concordant signal filtering, ML ranking, rediscovery/repurposing highlights, and lipid-target case study with ANXA2.- transcript topics: Mendelian randomization as a natural clinical trial; Biobank meta-analysis (MVP, UKBB, FinnGen) and phenome-wide scope; cis-eQTL and cis-pQTL instrument sources; Two-sample MR and concordant-instrument filtering; XGBoost...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2373358/c1a-p6xp7-qdp4993duk56-r8pgva.png"></itunes:image>
                                                                            <itunes:duration>00:20:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[300: Population-scale WGS links MHC class II antigen presentation to persistent Epstein–Barr virus (EBV) DNA]]>
                </title>
                <pubDate>Tue, 24 Feb 2026 08:32:58 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2372606</guid>
                                    <link>https://basebybase.castos.com/episodes/ebv-mhc-class-ii</link>
                                <description>
                                            <![CDATA[<p>Nyeo SS et al., Nature, doi:10.1038/s41586-025-10020-2 - Population-scale WGS reanalysis quantifies persistent EBV DNA and shows MHC class II–mediated antigen presentation predicts EBV DNAemia and links to autoimmune and respiratory disease. Key terms: Epstein–Barr virus, MHC class II, whole-genome sequencing, HLA, antigen presentation.</p>
<p> Study Highlights:<br />Using whole-genome sequencing from UK Biobank (n≈490,560) and All of Us (n≈245,394), the authors extracted chrEBV-mapping reads, masked low-mappability regions, and defined EBV DNAemia (&gt;1.2 genomes per 10^4 cells) in 9.7–11.9% of donors. They performed PheWAS, GWAS and ExWAS and identified 22 genome-wide significant loci and 686 missense variants across 148 genes with heritability enrichment in immune regulatory regions and B cells/antigen-presenting cells. Single-cell module scoring, pathway analyses and NetMHCpan/NetMHCIIpan peptide-presentation modeling implicated variable antigen processing and MHC class II presentation as primary determinants of EBV persistence, with stronger predicted presentation linked to lower EBV DNAemia. EBV DNAemia was reproducibly associated with autoimmune, respiratory, neurological and cardiovascular phenotypes across cohorts.</p>
<p> Conclusion:<br />Reanalysis of population-scale WGS demonstrates that host genetic variation—predominantly in antigen processing and MHC class II peptide presentation—modulates persistent EBV DNA in blood and associates with multiple complex diseases.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Population-scale sequencing resolves determinants of persistent EBV DNA</p>
<p> First author:<br />Nyeo SS</p>
<p> Journal:<br />Nature, doi:10.1038/s41586-025-10020-2</p>
<p> DOI:<br />10.1038/s41586-025-10020-2</p>
<p> Reference:<br />Nyeo SS, Cumming EM, Burren OS, Pagadala MS, Gutierrez JC, Ali TA, Kida LC, Chen Y, Chu H, Hu F, Zou XZ, Hollis B, Fabre MA, MacArthur S, Wang Q, Ludwig LS, Dey KK, Petrovski S, Dhindsa RS &amp; Lareau CA. Population-scale sequencing resolves determinants of persistent EBV DNA. Nature. 2026 Feb 19;650:664–672. https://doi.org/10.1038/s41586-025-10020-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ebv-mhc-class-ii</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for core EBV DNAemia measurement, population-scale findings, genetic architecture (GWAS/ExWAS), MHC class II/HLA roles, peptide presentation modeling, cell-type enrichment, phenotype associations, viral genome considerations, and replication across UKB and AoU.<br />- transcript topics: Definition and measurement of EBV DNAemia from population-scale WGS; Population-scale prevalence in UKB and AoU, threshold and binarization; Genome-wide and exome-wide association results (22 loci; 686 missense variants in 148 genes); Role of MHC class II and HLA variation in EBV DNAemia; Specific HLA alleles: HLA-A*03:01 risk; HLA-DRB1*12:01 protection; NetMHC/NetMHCIIpan predictions and HBR-based antigen presentation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed:...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Base by Base</li><li>(00:00:28) - A viral ghost in my body</li><li>(00:03:32) - Herpes virus: When it's active, how to spot it</li><li>(00:05:42) - The Hidden EBVD Genome</li><li>(00:08:45) - The smoking gun in chronic fatigue</li><li>(00:14:01) - Does Your Genetic Lock Fit With EBV?</li><li>(00:19:01) - Finding the Secret of the Immune Program</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nyeo SS et al., Nature, doi:10.1038/s41586-025-10020-2 - Population-scale WGS reanalysis quantifies persistent EBV DNA and shows MHC class II–mediated antigen presentation predicts EBV DNAemia and links to autoimmune and respiratory disease. Key terms: Epstein–Barr virus, MHC class II, whole-genome sequencing, HLA, antigen presentation.
 Study Highlights:Using whole-genome sequencing from UK Biobank (n≈490,560) and All of Us (n≈245,394), the authors extracted chrEBV-mapping reads, masked low-mappability regions, and defined EBV DNAemia (>1.2 genomes per 10^4 cells) in 9.7–11.9% of donors. They performed PheWAS, GWAS and ExWAS and identified 22 genome-wide significant loci and 686 missense variants across 148 genes with heritability enrichment in immune regulatory regions and B cells/antigen-presenting cells. Single-cell module scoring, pathway analyses and NetMHCpan/NetMHCIIpan peptide-presentation modeling implicated variable antigen processing and MHC class II presentation as primary determinants of EBV persistence, with stronger predicted presentation linked to lower EBV DNAemia. EBV DNAemia was reproducibly associated with autoimmune, respiratory, neurological and cardiovascular phenotypes across cohorts.
 Conclusion:Reanalysis of population-scale WGS demonstrates that host genetic variation—predominantly in antigen processing and MHC class II peptide presentation—modulates persistent EBV DNA in blood and associates with multiple complex diseases.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Population-scale sequencing resolves determinants of persistent EBV DNA
 First author:Nyeo SS
 Journal:Nature, doi:10.1038/s41586-025-10020-2
 DOI:10.1038/s41586-025-10020-2
 Reference:Nyeo SS, Cumming EM, Burren OS, Pagadala MS, Gutierrez JC, Ali TA, Kida LC, Chen Y, Chu H, Hu F, Zou XZ, Hollis B, Fabre MA, MacArthur S, Wang Q, Ludwig LS, Dey KK, Petrovski S, Dhindsa RS & Lareau CA. Population-scale sequencing resolves determinants of persistent EBV DNA. Nature. 2026 Feb 19;650:664–672. https://doi.org/10.1038/s41586-025-10020-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ebv-mhc-class-ii
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for core EBV DNAemia measurement, population-scale findings, genetic architecture (GWAS/ExWAS), MHC class II/HLA roles, peptide presentation modeling, cell-type enrichment, phenotype associations, viral genome considerations, and replication across UKB and AoU.- transcript topics: Definition and measurement of EBV DNAemia from population-scale WGS; Population-scale prevalence in UKB and AoU, threshold and binarization; Genome-wide and exome-wide association results (22 loci; 686 missense variants in 148 genes); Role of MHC class II and HLA variation in EBV DNAemia; Specific HLA alleles: HLA-A*03:01 risk; HLA-DRB1*12:01 protection; NetMHC/NetMHCIIpan predictions and HBR-based antigen presentation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed:...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[300: Population-scale WGS links MHC class II antigen presentation to persistent Epstein–Barr virus (EBV) DNA]]>
                </itunes:title>
                                    <itunes:episode>300</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nyeo SS et al., Nature, doi:10.1038/s41586-025-10020-2 - Population-scale WGS reanalysis quantifies persistent EBV DNA and shows MHC class II–mediated antigen presentation predicts EBV DNAemia and links to autoimmune and respiratory disease. Key terms: Epstein–Barr virus, MHC class II, whole-genome sequencing, HLA, antigen presentation.</p>
<p> Study Highlights:<br />Using whole-genome sequencing from UK Biobank (n≈490,560) and All of Us (n≈245,394), the authors extracted chrEBV-mapping reads, masked low-mappability regions, and defined EBV DNAemia (&gt;1.2 genomes per 10^4 cells) in 9.7–11.9% of donors. They performed PheWAS, GWAS and ExWAS and identified 22 genome-wide significant loci and 686 missense variants across 148 genes with heritability enrichment in immune regulatory regions and B cells/antigen-presenting cells. Single-cell module scoring, pathway analyses and NetMHCpan/NetMHCIIpan peptide-presentation modeling implicated variable antigen processing and MHC class II presentation as primary determinants of EBV persistence, with stronger predicted presentation linked to lower EBV DNAemia. EBV DNAemia was reproducibly associated with autoimmune, respiratory, neurological and cardiovascular phenotypes across cohorts.</p>
<p> Conclusion:<br />Reanalysis of population-scale WGS demonstrates that host genetic variation—predominantly in antigen processing and MHC class II peptide presentation—modulates persistent EBV DNA in blood and associates with multiple complex diseases.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Population-scale sequencing resolves determinants of persistent EBV DNA</p>
<p> First author:<br />Nyeo SS</p>
<p> Journal:<br />Nature, doi:10.1038/s41586-025-10020-2</p>
<p> DOI:<br />10.1038/s41586-025-10020-2</p>
<p> Reference:<br />Nyeo SS, Cumming EM, Burren OS, Pagadala MS, Gutierrez JC, Ali TA, Kida LC, Chen Y, Chu H, Hu F, Zou XZ, Hollis B, Fabre MA, MacArthur S, Wang Q, Ludwig LS, Dey KK, Petrovski S, Dhindsa RS &amp; Lareau CA. Population-scale sequencing resolves determinants of persistent EBV DNA. Nature. 2026 Feb 19;650:664–672. https://doi.org/10.1038/s41586-025-10020-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ebv-mhc-class-ii</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for core EBV DNAemia measurement, population-scale findings, genetic architecture (GWAS/ExWAS), MHC class II/HLA roles, peptide presentation modeling, cell-type enrichment, phenotype associations, viral genome considerations, and replication across UKB and AoU.<br />- transcript topics: Definition and measurement of EBV DNAemia from population-scale WGS; Population-scale prevalence in UKB and AoU, threshold and binarization; Genome-wide and exome-wide association results (22 loci; 686 missense variants in 148 genes); Role of MHC class II and HLA variation in EBV DNAemia; Specific HLA alleles: HLA-A*03:01 risk; HLA-DRB1*12:01 protection; NetMHC/NetMHCIIpan predictions and HBR-based antigen presentation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- EBV DNAemia is quantified from chrEBV reads in population-scale WGS; threshold set at 1.2 EBV genomes per 10^4 human cells<br />- UKB prevalence of EBV DNAemia: 9.7% (47,452 individuals); AoU replication prevalence: 11.9%<br />- Genome-wide analysis identified 22 independent loci associated with EBV DNAemia; 686 missense variants across 148 genes<br />- Heritability enriched in immune regulatory regions; pronounced enrichment in B cells and antigen-presenting cells<br />- HLA region drives strongest genetic associations; HLA-A*03:01 increases risk; HLA-DRB1*12:01 is protective<br />- Predicted EBV epitope presentation strength by MHC class II alleles correlates with lower EBV DNAemia; class II alleles show strongest associations</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Nyeo SS et al., Nature, doi:10.1038/s41586-025-10020-2 - Population-scale WGS reanalysis quantifies persistent EBV DNA and shows MHC class II–mediated antigen presentation predicts EBV DNAemia and links to autoimmune and respiratory disease. Key terms: Epstein–Barr virus, MHC class II, whole-genome sequencing, HLA, antigen presentation.
 Study Highlights:Using whole-genome sequencing from UK Biobank (n≈490,560) and All of Us (n≈245,394), the authors extracted chrEBV-mapping reads, masked low-mappability regions, and defined EBV DNAemia (>1.2 genomes per 10^4 cells) in 9.7–11.9% of donors. They performed PheWAS, GWAS and ExWAS and identified 22 genome-wide significant loci and 686 missense variants across 148 genes with heritability enrichment in immune regulatory regions and B cells/antigen-presenting cells. Single-cell module scoring, pathway analyses and NetMHCpan/NetMHCIIpan peptide-presentation modeling implicated variable antigen processing and MHC class II presentation as primary determinants of EBV persistence, with stronger predicted presentation linked to lower EBV DNAemia. EBV DNAemia was reproducibly associated with autoimmune, respiratory, neurological and cardiovascular phenotypes across cohorts.
 Conclusion:Reanalysis of population-scale WGS demonstrates that host genetic variation—predominantly in antigen processing and MHC class II peptide presentation—modulates persistent EBV DNA in blood and associates with multiple complex diseases.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Population-scale sequencing resolves determinants of persistent EBV DNA
 First author:Nyeo SS
 Journal:Nature, doi:10.1038/s41586-025-10020-2
 DOI:10.1038/s41586-025-10020-2
 Reference:Nyeo SS, Cumming EM, Burren OS, Pagadala MS, Gutierrez JC, Ali TA, Kida LC, Chen Y, Chu H, Hu F, Zou XZ, Hollis B, Fabre MA, MacArthur S, Wang Q, Ludwig LS, Dey KK, Petrovski S, Dhindsa RS & Lareau CA. Population-scale sequencing resolves determinants of persistent EBV DNA. Nature. 2026 Feb 19;650:664–672. https://doi.org/10.1038/s41586-025-10020-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ebv-mhc-class-ii
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for core EBV DNAemia measurement, population-scale findings, genetic architecture (GWAS/ExWAS), MHC class II/HLA roles, peptide presentation modeling, cell-type enrichment, phenotype associations, viral genome considerations, and replication across UKB and AoU.- transcript topics: Definition and measurement of EBV DNAemia from population-scale WGS; Population-scale prevalence in UKB and AoU, threshold and binarization; Genome-wide and exome-wide association results (22 loci; 686 missense variants in 148 genes); Role of MHC class II and HLA variation in EBV DNAemia; Specific HLA alleles: HLA-A*03:01 risk; HLA-DRB1*12:01 protection; NetMHC/NetMHCIIpan predictions and HBR-based antigen presentation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed:...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2372606/c1a-p6xp7-5zqk77nohvr4-syfaqx.png"></itunes:image>
                                                                            <itunes:duration>00:21:48</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[299: UFM1 loss and R81C mutation disrupt neuronal translation, ER stress, and synaptogenesis]]>
                </title>
                <pubDate>Tue, 24 Feb 2026 07:53:09 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2372590</guid>
                                    <link>https://basebybase.castos.com/episodes/ufm1-r81c-neuronal-translation</link>
                                <description>
                                            <![CDATA[<p>Perdigão C et al., EMBO Molecular Medicine, doi:10.1038/s44321-026-00389-6 - In mouse neurons, UFM1 loss or UFM1-R81C expression reduces protein translation, triggers ER stress and PERK activation, impairing dendrite and synapse development. Key terms: UFM1, UFMylation, ER stress, protein translation, Trazodone.</p>
<p> Study Highlights:<br />Using murine UFM1-deficient neurons generated by conditional knockout and CRISPR/Cas9 in vivo manipulations and lentiviral rescue, the study combined FUNCAT, puromycin labeling, patch-clamp electrophysiology, RNA-seq, mass spectrometry, TEM tomography, and in vitro UFMylation assays. UFM1 loss caused reduced dendrite complexity, a ~70% drop in colocalized synaptic puncta, decreased EPSC amplitudes and RRP size, induction of ER stress and PERK-UPR activation, and a substantial reduction in global protein translation. The UFM1-R81C variant was hypomorphic: it partially rescued morphology and function but showed drastically impaired activation by the E1 enzyme UBA5 and an aggravated ER-stress response to thapsigargin. Pharmacologically, Trazodone normalized translation in UFM1-R81C neurons and increased synapse numbers in both UFM1-KO and UFM1-R81C conditions, linking UPR/translation modulation to phenotypic rescue.</p>
<p> Conclusion:<br />UFMylation is required for neuronal development and function: UFM1 loss and the UFM1-R81C variant impair protein translation and ER homeostasis, and Trazodone restores translation in UFM1-R81C neurons while increasing synapse numbers.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Encephalopathy-linked UFM1 variants impede neuronal protein translation, development, and function</p>
<p> First author:<br />Perdigão C</p>
<p> Journal:<br />EMBO Molecular Medicine, doi:10.1038/s44321-026-00389-6</p>
<p> DOI:<br />10.1038/s44321-026-00389-6</p>
<p> Reference:<br />Perdigão C, Torres J, Magnussen HM, Koch J, Rudashevskaya E, Moschref F, Fiosins M, Benseler F, Wenger S, Nilsson T, Beuermann S, Bonn S, Rizzoli SO, Kulathu Y, Jahn O, Cooper BH, Ambrozkiewicz MC, Rhee JS, Brose N &amp; Tirard M (2026) Encephalopathy-linked UFM1 variants impede neuronal protein translation, development, and function. EMBO Molecular Medicine. https://doi.org/10.1038/s44321-026-00389-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ufm1-r81c-neuronal-translation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and experimental findings presented in the episode and mapped them to the paper's results: UFM1 loss causes reduced dendritic complexity and synapses, reduced translation; UFM1-R81C is hypomorphic with reduced UBA5 activation; PERK-UPR activation; Trazodone rescues translation and increas<br />- transcript topics: UFMylation pathway and enzymes (UFM1, UBA5, UFC1, UFL1); UFM1 loss: neuronal development and synapse reduction; UFM1-R81C variant mechanism; ER stress and PERK-UPR activation; Protein translation assessment (FUNCAT, puromycin); Trazodone rescue effects on translation and synapses</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0</p>
<h3>Chapters</h3>
<ul><li>(00:00:20) - Genetics of encephalopathy: the mystery behind the disease</li><li>(00:03:40) - UFM1 defects in the brain</li><li>(00:08:08) - What Happened to Myelation in Tertiary neurons?</li><li>(00:10:49) - Fixing the RA1C mutation in the brain</li><li>(00:15:42) - UFM1 regulates synaptic firing in the brain</li><li>(00:16:41) - A Small Voice for the Cell</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Perdigão C et al., EMBO Molecular Medicine, doi:10.1038/s44321-026-00389-6 - In mouse neurons, UFM1 loss or UFM1-R81C expression reduces protein translation, triggers ER stress and PERK activation, impairing dendrite and synapse development. Key terms: UFM1, UFMylation, ER stress, protein translation, Trazodone.
 Study Highlights:Using murine UFM1-deficient neurons generated by conditional knockout and CRISPR/Cas9 in vivo manipulations and lentiviral rescue, the study combined FUNCAT, puromycin labeling, patch-clamp electrophysiology, RNA-seq, mass spectrometry, TEM tomography, and in vitro UFMylation assays. UFM1 loss caused reduced dendrite complexity, a ~70% drop in colocalized synaptic puncta, decreased EPSC amplitudes and RRP size, induction of ER stress and PERK-UPR activation, and a substantial reduction in global protein translation. The UFM1-R81C variant was hypomorphic: it partially rescued morphology and function but showed drastically impaired activation by the E1 enzyme UBA5 and an aggravated ER-stress response to thapsigargin. Pharmacologically, Trazodone normalized translation in UFM1-R81C neurons and increased synapse numbers in both UFM1-KO and UFM1-R81C conditions, linking UPR/translation modulation to phenotypic rescue.
 Conclusion:UFMylation is required for neuronal development and function: UFM1 loss and the UFM1-R81C variant impair protein translation and ER homeostasis, and Trazodone restores translation in UFM1-R81C neurons while increasing synapse numbers.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Encephalopathy-linked UFM1 variants impede neuronal protein translation, development, and function
 First author:Perdigão C
 Journal:EMBO Molecular Medicine, doi:10.1038/s44321-026-00389-6
 DOI:10.1038/s44321-026-00389-6
 Reference:Perdigão C, Torres J, Magnussen HM, Koch J, Rudashevskaya E, Moschref F, Fiosins M, Benseler F, Wenger S, Nilsson T, Beuermann S, Bonn S, Rizzoli SO, Kulathu Y, Jahn O, Cooper BH, Ambrozkiewicz MC, Rhee JS, Brose N & Tirard M (2026) Encephalopathy-linked UFM1 variants impede neuronal protein translation, development, and function. EMBO Molecular Medicine. https://doi.org/10.1038/s44321-026-00389-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ufm1-r81c-neuronal-translation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and experimental findings presented in the episode and mapped them to the paper's results: UFM1 loss causes reduced dendritic complexity and synapses, reduced translation; UFM1-R81C is hypomorphic with reduced UBA5 activation; PERK-UPR activation; Trazodone rescues translation and increas- transcript topics: UFMylation pathway and enzymes (UFM1, UBA5, UFC1, UFL1); UFM1 loss: neuronal development and synapse reduction; UFM1-R81C variant mechanism; ER stress and PERK-UPR activation; Protein translation assessment (FUNCAT, puromycin); Trazodone rescue effects on translation and synapses
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[299: UFM1 loss and R81C mutation disrupt neuronal translation, ER stress, and synaptogenesis]]>
                </itunes:title>
                                    <itunes:episode>299</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Perdigão C et al., EMBO Molecular Medicine, doi:10.1038/s44321-026-00389-6 - In mouse neurons, UFM1 loss or UFM1-R81C expression reduces protein translation, triggers ER stress and PERK activation, impairing dendrite and synapse development. Key terms: UFM1, UFMylation, ER stress, protein translation, Trazodone.</p>
<p> Study Highlights:<br />Using murine UFM1-deficient neurons generated by conditional knockout and CRISPR/Cas9 in vivo manipulations and lentiviral rescue, the study combined FUNCAT, puromycin labeling, patch-clamp electrophysiology, RNA-seq, mass spectrometry, TEM tomography, and in vitro UFMylation assays. UFM1 loss caused reduced dendrite complexity, a ~70% drop in colocalized synaptic puncta, decreased EPSC amplitudes and RRP size, induction of ER stress and PERK-UPR activation, and a substantial reduction in global protein translation. The UFM1-R81C variant was hypomorphic: it partially rescued morphology and function but showed drastically impaired activation by the E1 enzyme UBA5 and an aggravated ER-stress response to thapsigargin. Pharmacologically, Trazodone normalized translation in UFM1-R81C neurons and increased synapse numbers in both UFM1-KO and UFM1-R81C conditions, linking UPR/translation modulation to phenotypic rescue.</p>
<p> Conclusion:<br />UFMylation is required for neuronal development and function: UFM1 loss and the UFM1-R81C variant impair protein translation and ER homeostasis, and Trazodone restores translation in UFM1-R81C neurons while increasing synapse numbers.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Encephalopathy-linked UFM1 variants impede neuronal protein translation, development, and function</p>
<p> First author:<br />Perdigão C</p>
<p> Journal:<br />EMBO Molecular Medicine, doi:10.1038/s44321-026-00389-6</p>
<p> DOI:<br />10.1038/s44321-026-00389-6</p>
<p> Reference:<br />Perdigão C, Torres J, Magnussen HM, Koch J, Rudashevskaya E, Moschref F, Fiosins M, Benseler F, Wenger S, Nilsson T, Beuermann S, Bonn S, Rizzoli SO, Kulathu Y, Jahn O, Cooper BH, Ambrozkiewicz MC, Rhee JS, Brose N &amp; Tirard M (2026) Encephalopathy-linked UFM1 variants impede neuronal protein translation, development, and function. EMBO Molecular Medicine. https://doi.org/10.1038/s44321-026-00389-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ufm1-r81c-neuronal-translation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and experimental findings presented in the episode and mapped them to the paper's results: UFM1 loss causes reduced dendritic complexity and synapses, reduced translation; UFM1-R81C is hypomorphic with reduced UBA5 activation; PERK-UPR activation; Trazodone rescues translation and increas<br />- transcript topics: UFMylation pathway and enzymes (UFM1, UBA5, UFC1, UFL1); UFM1 loss: neuronal development and synapse reduction; UFM1-R81C variant mechanism; ER stress and PERK-UPR activation; Protein translation assessment (FUNCAT, puromycin); Trazodone rescue effects on translation and synapses</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- UFM1 loss reduces dendritic complexity and synapse numbers and lowers EPSC amplitudes and RRP size<br />- Global protein translation is reduced in UFM1-KO neurons<br />- UFM1 loss induces ER stress and activates the PERK-UPR pathway<br />- UFM1-R81C is hypomorphic with reduced activation by UBA5 and only partial rescue, with aggravated ER stress under challenge<br />- Trazodone restores translation in UFM1-R81C neurons and increases synapse numbers in both UFM1-KO and UFM1-R81C neurons</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Perdigão C et al., EMBO Molecular Medicine, doi:10.1038/s44321-026-00389-6 - In mouse neurons, UFM1 loss or UFM1-R81C expression reduces protein translation, triggers ER stress and PERK activation, impairing dendrite and synapse development. Key terms: UFM1, UFMylation, ER stress, protein translation, Trazodone.
 Study Highlights:Using murine UFM1-deficient neurons generated by conditional knockout and CRISPR/Cas9 in vivo manipulations and lentiviral rescue, the study combined FUNCAT, puromycin labeling, patch-clamp electrophysiology, RNA-seq, mass spectrometry, TEM tomography, and in vitro UFMylation assays. UFM1 loss caused reduced dendrite complexity, a ~70% drop in colocalized synaptic puncta, decreased EPSC amplitudes and RRP size, induction of ER stress and PERK-UPR activation, and a substantial reduction in global protein translation. The UFM1-R81C variant was hypomorphic: it partially rescued morphology and function but showed drastically impaired activation by the E1 enzyme UBA5 and an aggravated ER-stress response to thapsigargin. Pharmacologically, Trazodone normalized translation in UFM1-R81C neurons and increased synapse numbers in both UFM1-KO and UFM1-R81C conditions, linking UPR/translation modulation to phenotypic rescue.
 Conclusion:UFMylation is required for neuronal development and function: UFM1 loss and the UFM1-R81C variant impair protein translation and ER homeostasis, and Trazodone restores translation in UFM1-R81C neurons while increasing synapse numbers.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Encephalopathy-linked UFM1 variants impede neuronal protein translation, development, and function
 First author:Perdigão C
 Journal:EMBO Molecular Medicine, doi:10.1038/s44321-026-00389-6
 DOI:10.1038/s44321-026-00389-6
 Reference:Perdigão C, Torres J, Magnussen HM, Koch J, Rudashevskaya E, Moschref F, Fiosins M, Benseler F, Wenger S, Nilsson T, Beuermann S, Bonn S, Rizzoli SO, Kulathu Y, Jahn O, Cooper BH, Ambrozkiewicz MC, Rhee JS, Brose N & Tirard M (2026) Encephalopathy-linked UFM1 variants impede neuronal protein translation, development, and function. EMBO Molecular Medicine. https://doi.org/10.1038/s44321-026-00389-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ufm1-r81c-neuronal-translation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and experimental findings presented in the episode and mapped them to the paper's results: UFM1 loss causes reduced dendritic complexity and synapses, reduced translation; UFM1-R81C is hypomorphic with reduced UBA5 activation; PERK-UPR activation; Trazodone rescues translation and increas- transcript topics: UFMylation pathway and enzymes (UFM1, UBA5, UFC1, UFL1); UFM1 loss: neuronal development and synapse reduction; UFM1-R81C variant mechanism; ER stress and PERK-UPR activation; Protein translation assessment (FUNCAT, puromycin); Trazodone rescue effects on translation and synapses
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0]]>
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                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2372590/c1a-p6xp7-rkgdrr90a4-cjyvrv.png"></itunes:image>
                                                                            <itunes:duration>00:21:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[298: Bi-allelic FSD1L variants in retinitis pigmentosa implicate photoreceptor axoneme]]>
                </title>
                <pubDate>Tue, 24 Feb 2026 06:14:05 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2372566</guid>
                                    <link>https://basebybase.castos.com/episodes/fsd1l-retinitis-pigmentosa-axoneme</link>
                                <description>
                                            <![CDATA[<p>Lin S et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.015 - Bi-allelic FSD1L variants cause retinitis pigmentosa; FSD1L localizes to the photoreceptor axoneme and a deep intronic deletion abolishes retina-enriched exon 10b inclusion. Key terms: FSD1L, retinitis pigmentosa, photoreceptor axoneme, exon 10b, minigene assay.</p>
<p> Study Highlights:<br />In human and mouse retinal tissues and six affected individuals from four families, exome/genome sequencing identified bi-allelic ultra-rare FSD1L variants associated with retinitis pigmentosa. Single-cell RNA-seq, immunofluorescence, and ultrastructure expansion microscopy show FSD1L is enriched in cones and rods and localizes along the photoreceptor microtubule axoneme including the connecting cilium and outer segment. Functional assays including ARPE-19 minigene splicing and long-read nanopore sequencing of patient lymphocytes demonstrate that a deep intronic 26-nt deletion abolishes inclusion of a retina-enriched exon (exon 10b). Together these data link isoform-specific mis-splicing and axonemal localization to a plausible disruption of intracellular trafficking leading to photoreceptor degeneration.</p>
<p> Conclusion:<br />Bi-allelic disruption of FSD1L is associated with retinitis pigmentosa, and retina-enriched exon 10b mis-splicing provides a plausible mechanism for isolated retinal disease.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in FSD1L cause retinitis pigmentosa with or without neurological involvement</p>
<p> First author:<br />Lin S</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.015</p>
<p> DOI:<br />10.1016/j.ajhg.2026.01.015</p>
<p> Reference:<br />Lin S., Cancellieri F., Cao Y., et al. Bi-allelic variants in FSD1L cause retinitis pigmentosa with or without neurological involvement. The American Journal of Human Genetics 113, 1–11 (2026). https://doi.org/10.1016/j.ajhg.2026.01.015</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/fsd1l-retinitis-pigmentosa-axoneme</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive scientific content in the transcript: discovery of bi-allelic FSD1L variants in RP families; retina-enriched isoform with exon 10b; deep intronic deletion disrupting exon 10b; minigene splicing assays; FSD1L localization to photoreceptor axoneme/connecting cilium/outer segment; expression pattern in<br />- transcript topics: RP and inherited retinal disease overview; FSD1L as RP gene candidate; Retina-enriched isoform and exon 10b; Deep intronic deletion c.1025+624_1025+649del and exon 10b skipping; Minigene splicing assays in ARPE-19 cells; FSD1L localization to photoreceptor axoneme via U-ExM</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Bi-allelic ultra-rare FSD1L variants identified in six indiv...</p>
<h3>Chapters</h3>
<ul><li>(00:00:11) - The missing heritability of inherited retinal diseases</li><li>(00:03:00) - Globally, retinal disease 1, Introduction</li><li>(00:04:14) - The genetic cause of blindness</li><li>(00:08:28) - The secret to retinitis pigmentosa</li><li>(00:13:54) - Deep Dive into the dark corners of the genome</li><li>(00:17:21) - Follow the Light Along the Axle</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Lin S et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.015 - Bi-allelic FSD1L variants cause retinitis pigmentosa; FSD1L localizes to the photoreceptor axoneme and a deep intronic deletion abolishes retina-enriched exon 10b inclusion. Key terms: FSD1L, retinitis pigmentosa, photoreceptor axoneme, exon 10b, minigene assay.
 Study Highlights:In human and mouse retinal tissues and six affected individuals from four families, exome/genome sequencing identified bi-allelic ultra-rare FSD1L variants associated with retinitis pigmentosa. Single-cell RNA-seq, immunofluorescence, and ultrastructure expansion microscopy show FSD1L is enriched in cones and rods and localizes along the photoreceptor microtubule axoneme including the connecting cilium and outer segment. Functional assays including ARPE-19 minigene splicing and long-read nanopore sequencing of patient lymphocytes demonstrate that a deep intronic 26-nt deletion abolishes inclusion of a retina-enriched exon (exon 10b). Together these data link isoform-specific mis-splicing and axonemal localization to a plausible disruption of intracellular trafficking leading to photoreceptor degeneration.
 Conclusion:Bi-allelic disruption of FSD1L is associated with retinitis pigmentosa, and retina-enriched exon 10b mis-splicing provides a plausible mechanism for isolated retinal disease.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in FSD1L cause retinitis pigmentosa with or without neurological involvement
 First author:Lin S
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.015
 DOI:10.1016/j.ajhg.2026.01.015
 Reference:Lin S., Cancellieri F., Cao Y., et al. Bi-allelic variants in FSD1L cause retinitis pigmentosa with or without neurological involvement. The American Journal of Human Genetics 113, 1–11 (2026). https://doi.org/10.1016/j.ajhg.2026.01.015
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/fsd1l-retinitis-pigmentosa-axoneme
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive scientific content in the transcript: discovery of bi-allelic FSD1L variants in RP families; retina-enriched isoform with exon 10b; deep intronic deletion disrupting exon 10b; minigene splicing assays; FSD1L localization to photoreceptor axoneme/connecting cilium/outer segment; expression pattern in- transcript topics: RP and inherited retinal disease overview; FSD1L as RP gene candidate; Retina-enriched isoform and exon 10b; Deep intronic deletion c.1025+624_1025+649del and exon 10b skipping; Minigene splicing assays in ARPE-19 cells; FSD1L localization to photoreceptor axoneme via U-ExM
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Bi-allelic ultra-rare FSD1L variants identified in six indiv...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[298: Bi-allelic FSD1L variants in retinitis pigmentosa implicate photoreceptor axoneme]]>
                </itunes:title>
                                    <itunes:episode>298</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Lin S et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.015 - Bi-allelic FSD1L variants cause retinitis pigmentosa; FSD1L localizes to the photoreceptor axoneme and a deep intronic deletion abolishes retina-enriched exon 10b inclusion. Key terms: FSD1L, retinitis pigmentosa, photoreceptor axoneme, exon 10b, minigene assay.</p>
<p> Study Highlights:<br />In human and mouse retinal tissues and six affected individuals from four families, exome/genome sequencing identified bi-allelic ultra-rare FSD1L variants associated with retinitis pigmentosa. Single-cell RNA-seq, immunofluorescence, and ultrastructure expansion microscopy show FSD1L is enriched in cones and rods and localizes along the photoreceptor microtubule axoneme including the connecting cilium and outer segment. Functional assays including ARPE-19 minigene splicing and long-read nanopore sequencing of patient lymphocytes demonstrate that a deep intronic 26-nt deletion abolishes inclusion of a retina-enriched exon (exon 10b). Together these data link isoform-specific mis-splicing and axonemal localization to a plausible disruption of intracellular trafficking leading to photoreceptor degeneration.</p>
<p> Conclusion:<br />Bi-allelic disruption of FSD1L is associated with retinitis pigmentosa, and retina-enriched exon 10b mis-splicing provides a plausible mechanism for isolated retinal disease.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in FSD1L cause retinitis pigmentosa with or without neurological involvement</p>
<p> First author:<br />Lin S</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.015</p>
<p> DOI:<br />10.1016/j.ajhg.2026.01.015</p>
<p> Reference:<br />Lin S., Cancellieri F., Cao Y., et al. Bi-allelic variants in FSD1L cause retinitis pigmentosa with or without neurological involvement. The American Journal of Human Genetics 113, 1–11 (2026). https://doi.org/10.1016/j.ajhg.2026.01.015</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/fsd1l-retinitis-pigmentosa-axoneme</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive scientific content in the transcript: discovery of bi-allelic FSD1L variants in RP families; retina-enriched isoform with exon 10b; deep intronic deletion disrupting exon 10b; minigene splicing assays; FSD1L localization to photoreceptor axoneme/connecting cilium/outer segment; expression pattern in<br />- transcript topics: RP and inherited retinal disease overview; FSD1L as RP gene candidate; Retina-enriched isoform and exon 10b; Deep intronic deletion c.1025+624_1025+649del and exon 10b skipping; Minigene splicing assays in ARPE-19 cells; FSD1L localization to photoreceptor axoneme via U-ExM</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Bi-allelic ultra-rare FSD1L variants identified in six individuals from four families<br />- FSD1L expression enriched in cone photoreceptors (and present in rods) in human retina<br />- FSD1L localizes along the photoreceptor microtubule axoneme, including the connecting cilium and outer segment<br />- Retina-enriched isoform includes exon 10b; deep intronic deletion disrupts exon 10b inclusion<br />- Minigene splicing assays show exon 10b skipping with the intronic deletion<br />- Clinical spectrum includes RP with variable neurological involvement; isoform- and allele-specific effects explain phenotypic variability</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Lin S et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.015 - Bi-allelic FSD1L variants cause retinitis pigmentosa; FSD1L localizes to the photoreceptor axoneme and a deep intronic deletion abolishes retina-enriched exon 10b inclusion. Key terms: FSD1L, retinitis pigmentosa, photoreceptor axoneme, exon 10b, minigene assay.
 Study Highlights:In human and mouse retinal tissues and six affected individuals from four families, exome/genome sequencing identified bi-allelic ultra-rare FSD1L variants associated with retinitis pigmentosa. Single-cell RNA-seq, immunofluorescence, and ultrastructure expansion microscopy show FSD1L is enriched in cones and rods and localizes along the photoreceptor microtubule axoneme including the connecting cilium and outer segment. Functional assays including ARPE-19 minigene splicing and long-read nanopore sequencing of patient lymphocytes demonstrate that a deep intronic 26-nt deletion abolishes inclusion of a retina-enriched exon (exon 10b). Together these data link isoform-specific mis-splicing and axonemal localization to a plausible disruption of intracellular trafficking leading to photoreceptor degeneration.
 Conclusion:Bi-allelic disruption of FSD1L is associated with retinitis pigmentosa, and retina-enriched exon 10b mis-splicing provides a plausible mechanism for isolated retinal disease.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in FSD1L cause retinitis pigmentosa with or without neurological involvement
 First author:Lin S
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.015
 DOI:10.1016/j.ajhg.2026.01.015
 Reference:Lin S., Cancellieri F., Cao Y., et al. Bi-allelic variants in FSD1L cause retinitis pigmentosa with or without neurological involvement. The American Journal of Human Genetics 113, 1–11 (2026). https://doi.org/10.1016/j.ajhg.2026.01.015
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/fsd1l-retinitis-pigmentosa-axoneme
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive scientific content in the transcript: discovery of bi-allelic FSD1L variants in RP families; retina-enriched isoform with exon 10b; deep intronic deletion disrupting exon 10b; minigene splicing assays; FSD1L localization to photoreceptor axoneme/connecting cilium/outer segment; expression pattern in- transcript topics: RP and inherited retinal disease overview; FSD1L as RP gene candidate; Retina-enriched isoform and exon 10b; Deep intronic deletion c.1025+624_1025+649del and exon 10b skipping; Minigene splicing assays in ARPE-19 cells; FSD1L localization to photoreceptor axoneme via U-ExM
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Bi-allelic ultra-rare FSD1L variants identified in six indiv...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2372566/c1a-p6xp7-pknj3367i513-3a5a69.png"></itunes:image>
                                                                            <itunes:duration>00:20:16</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2372566/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[297: Bi-allelic FSD1L variants disrupt mitotic spindle and ciliogenesis in an L1-like neurodevelopmental disorder]]>
                </title>
                <pubDate>Tue, 24 Feb 2026 05:42:50 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2372562</guid>
                                    <link>https://basebybase.castos.com/episodes/fsd1l-microtubule-ciliogenesis</link>
                                <description>
                                            <![CDATA[<p>Serpieri V et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.014 - Bi-allelic FSD1L variants disrupt a microtubule-associated protein, causing hydrocephalus, corpus callosum defects and an L1 syndrome-like neurodevelopmental disorder in humans and models. Key terms: FSD1L, microtubules, ciliogenesis, hydrocephalus, iPSC neuronal differentiation.</p>
<p> Study Highlights:<br />Exome sequencing in eleven affected individuals (including five fetuses) identified bi-allelic FSD1L variants associated with hydrocephalus and corpus callosum defects. Using iPSC-derived neural progenitor differentiation, neurosphere assays, patient fibroblasts, immunohistochemistry, and in utero CRISPR-Cas9 mouse knockdown, the authors show that FSD1L localizes to mitotic spindle microtubules and to the transition zone/axoneme of the primary cilium. Patient NPCs fail to differentiate into premature neurons, undergo increased cell death, and form smaller disorganized neurospheres, while patient fibroblasts show abnormal spindles, reduced ciliogenesis and shorter cilia. Fsd1l repression in mouse embryos produced lateral ventricular dilation, functionally linking FSD1L to mitotic spindle assembly, ciliogenesis, neuronal differentiation and axon guidance.</p>
<p> Conclusion:<br />Bi-allelic pathogenic variants in FSD1L cause a neurodevelopmental syndrome overlapping L1 syndrome by disrupting a microtubule-associated protein required for mitotic spindle assembly, ciliogenesis, and neuronal differentiation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in FSD1L cause a neurodevelopmental disorder overlapping with L1 syndrome</p>
<p> First author:<br />Serpieri V</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.014</p>
<p> DOI:<br />10.1016/j.ajhg.2026.01.014</p>
<p> Reference:<br />Serpieri V., Vezain-Mouchard M., Orsi A., et al. Bi-allelic variants in FSD1L cause a neurodevelopmental disorder overlapping with L1 syndrome. The American Journal of Human Genetics. 113, 1–16 (March 5, 2026). https://doi.org/10.1016/j.ajhg.2026.01.014</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/fsd1l-microtubule-ciliogenesis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of the AJHG 2026 FSD1L study’s main claims, cellular mechanisms, experimental models, and clinical implications as described in the article.<br />- transcript topics: Clinical features resembling L1 syndrome; Gene discovery via exome sequencing and GeneMatcher; Autosomal recessive inheritance; FSD1L as a microtubule-associated protein localizing to mitotic spindle and primary cilium; iPSC-derived neural progenitor differentiation defects; Fibroblast spindle abnormalities and ciliogenesis defects</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- B...</p>
<h3>Chapters</h3>
<ul><li>(00:00:20) - The genetic sleuths who solved a brain disease</li><li>(00:03:50) - GeneMatch: The L1 Syndrome match</li><li>(00:08:57) - FSD1L protein deficiency in the brain</li><li>(00:11:26) - Why does L1 syndrome look so much like FSD1L</li><li>(00:16:41) - Many single diseases are actually clusters of lookalikes, according to Bass</li><li>(00:18:25) - A Story of Connections</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Serpieri V et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.014 - Bi-allelic FSD1L variants disrupt a microtubule-associated protein, causing hydrocephalus, corpus callosum defects and an L1 syndrome-like neurodevelopmental disorder in humans and models. Key terms: FSD1L, microtubules, ciliogenesis, hydrocephalus, iPSC neuronal differentiation.
 Study Highlights:Exome sequencing in eleven affected individuals (including five fetuses) identified bi-allelic FSD1L variants associated with hydrocephalus and corpus callosum defects. Using iPSC-derived neural progenitor differentiation, neurosphere assays, patient fibroblasts, immunohistochemistry, and in utero CRISPR-Cas9 mouse knockdown, the authors show that FSD1L localizes to mitotic spindle microtubules and to the transition zone/axoneme of the primary cilium. Patient NPCs fail to differentiate into premature neurons, undergo increased cell death, and form smaller disorganized neurospheres, while patient fibroblasts show abnormal spindles, reduced ciliogenesis and shorter cilia. Fsd1l repression in mouse embryos produced lateral ventricular dilation, functionally linking FSD1L to mitotic spindle assembly, ciliogenesis, neuronal differentiation and axon guidance.
 Conclusion:Bi-allelic pathogenic variants in FSD1L cause a neurodevelopmental syndrome overlapping L1 syndrome by disrupting a microtubule-associated protein required for mitotic spindle assembly, ciliogenesis, and neuronal differentiation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in FSD1L cause a neurodevelopmental disorder overlapping with L1 syndrome
 First author:Serpieri V
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.014
 DOI:10.1016/j.ajhg.2026.01.014
 Reference:Serpieri V., Vezain-Mouchard M., Orsi A., et al. Bi-allelic variants in FSD1L cause a neurodevelopmental disorder overlapping with L1 syndrome. The American Journal of Human Genetics. 113, 1–16 (March 5, 2026). https://doi.org/10.1016/j.ajhg.2026.01.014
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/fsd1l-microtubule-ciliogenesis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of the AJHG 2026 FSD1L study’s main claims, cellular mechanisms, experimental models, and clinical implications as described in the article.- transcript topics: Clinical features resembling L1 syndrome; Gene discovery via exome sequencing and GeneMatcher; Autosomal recessive inheritance; FSD1L as a microtubule-associated protein localizing to mitotic spindle and primary cilium; iPSC-derived neural progenitor differentiation defects; Fibroblast spindle abnormalities and ciliogenesis defects
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- B...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[297: Bi-allelic FSD1L variants disrupt mitotic spindle and ciliogenesis in an L1-like neurodevelopmental disorder]]>
                </itunes:title>
                                    <itunes:episode>297</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Serpieri V et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.014 - Bi-allelic FSD1L variants disrupt a microtubule-associated protein, causing hydrocephalus, corpus callosum defects and an L1 syndrome-like neurodevelopmental disorder in humans and models. Key terms: FSD1L, microtubules, ciliogenesis, hydrocephalus, iPSC neuronal differentiation.</p>
<p> Study Highlights:<br />Exome sequencing in eleven affected individuals (including five fetuses) identified bi-allelic FSD1L variants associated with hydrocephalus and corpus callosum defects. Using iPSC-derived neural progenitor differentiation, neurosphere assays, patient fibroblasts, immunohistochemistry, and in utero CRISPR-Cas9 mouse knockdown, the authors show that FSD1L localizes to mitotic spindle microtubules and to the transition zone/axoneme of the primary cilium. Patient NPCs fail to differentiate into premature neurons, undergo increased cell death, and form smaller disorganized neurospheres, while patient fibroblasts show abnormal spindles, reduced ciliogenesis and shorter cilia. Fsd1l repression in mouse embryos produced lateral ventricular dilation, functionally linking FSD1L to mitotic spindle assembly, ciliogenesis, neuronal differentiation and axon guidance.</p>
<p> Conclusion:<br />Bi-allelic pathogenic variants in FSD1L cause a neurodevelopmental syndrome overlapping L1 syndrome by disrupting a microtubule-associated protein required for mitotic spindle assembly, ciliogenesis, and neuronal differentiation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in FSD1L cause a neurodevelopmental disorder overlapping with L1 syndrome</p>
<p> First author:<br />Serpieri V</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.014</p>
<p> DOI:<br />10.1016/j.ajhg.2026.01.014</p>
<p> Reference:<br />Serpieri V., Vezain-Mouchard M., Orsi A., et al. Bi-allelic variants in FSD1L cause a neurodevelopmental disorder overlapping with L1 syndrome. The American Journal of Human Genetics. 113, 1–16 (March 5, 2026). https://doi.org/10.1016/j.ajhg.2026.01.014</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/fsd1l-microtubule-ciliogenesis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of the AJHG 2026 FSD1L study’s main claims, cellular mechanisms, experimental models, and clinical implications as described in the article.<br />- transcript topics: Clinical features resembling L1 syndrome; Gene discovery via exome sequencing and GeneMatcher; Autosomal recessive inheritance; FSD1L as a microtubule-associated protein localizing to mitotic spindle and primary cilium; iPSC-derived neural progenitor differentiation defects; Fibroblast spindle abnormalities and ciliogenesis defects</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Bi-allelic FSD1L variants identified in 11 affected individuals from six unrelated families<br />- FSD1L localizes to mitotic spindle microtubules and to the primary cilium transition zone/axoneme<br />- iPSC-derived neural progenitor cells from affected individuals failed to differentiate into premature neurons and showed increased cell death<br />- Patient fibroblasts exhibited abnormal mitotic spindles and reduced ciliogenesis with shorter cilia<br />- Fsd1l repression in mouse embryos produced ventriculomegaly (lateral ventricular dilation)<br />- Phenotype closely resembles L1 syndrome; overlapping expression patterns with L1CAM in developing brain</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Serpieri V et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.014 - Bi-allelic FSD1L variants disrupt a microtubule-associated protein, causing hydrocephalus, corpus callosum defects and an L1 syndrome-like neurodevelopmental disorder in humans and models. Key terms: FSD1L, microtubules, ciliogenesis, hydrocephalus, iPSC neuronal differentiation.
 Study Highlights:Exome sequencing in eleven affected individuals (including five fetuses) identified bi-allelic FSD1L variants associated with hydrocephalus and corpus callosum defects. Using iPSC-derived neural progenitor differentiation, neurosphere assays, patient fibroblasts, immunohistochemistry, and in utero CRISPR-Cas9 mouse knockdown, the authors show that FSD1L localizes to mitotic spindle microtubules and to the transition zone/axoneme of the primary cilium. Patient NPCs fail to differentiate into premature neurons, undergo increased cell death, and form smaller disorganized neurospheres, while patient fibroblasts show abnormal spindles, reduced ciliogenesis and shorter cilia. Fsd1l repression in mouse embryos produced lateral ventricular dilation, functionally linking FSD1L to mitotic spindle assembly, ciliogenesis, neuronal differentiation and axon guidance.
 Conclusion:Bi-allelic pathogenic variants in FSD1L cause a neurodevelopmental syndrome overlapping L1 syndrome by disrupting a microtubule-associated protein required for mitotic spindle assembly, ciliogenesis, and neuronal differentiation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in FSD1L cause a neurodevelopmental disorder overlapping with L1 syndrome
 First author:Serpieri V
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.014
 DOI:10.1016/j.ajhg.2026.01.014
 Reference:Serpieri V., Vezain-Mouchard M., Orsi A., et al. Bi-allelic variants in FSD1L cause a neurodevelopmental disorder overlapping with L1 syndrome. The American Journal of Human Genetics. 113, 1–16 (March 5, 2026). https://doi.org/10.1016/j.ajhg.2026.01.014
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/fsd1l-microtubule-ciliogenesis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of the AJHG 2026 FSD1L study’s main claims, cellular mechanisms, experimental models, and clinical implications as described in the article.- transcript topics: Clinical features resembling L1 syndrome; Gene discovery via exome sequencing and GeneMatcher; Autosomal recessive inheritance; FSD1L as a microtubule-associated protein localizing to mitotic spindle and primary cilium; iPSC-derived neural progenitor differentiation defects; Fibroblast spindle abnormalities and ciliogenesis defects
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- B...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2372562/c1a-p6xp7-qdp49962irjm-eontsw.png"></itunes:image>
                                                                            <itunes:duration>00:21:27</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2372562/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[296: snaR-A ncRNA antagonizes U2 snRNP SF3B2 to drive intron retention in human cells]]>
                </title>
                <pubDate>Sat, 21 Feb 2026 08:56:17 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2370106</guid>
                                    <link>https://basebybase.castos.com/episodes/snar-a-sf3b2-splicing</link>
                                <description>
                                            <![CDATA[<p>Zhou S et al., Nature Communications, doi:10.1038/s41467-025-65448-x - snaR-A noncoding RNA interacts with U2 snRNP subunit SF3B2 and nuclear speckles, increasing intron retention and promoting proliferation in human cancer-relevant cells. Key terms: snaR-A, SF3B2, intron retention, nuclear speckles, RNA polymerase III.</p>
<p> Study Highlights:<br />Using human cell lines (HEK293T, A549, THP-1) and tumor chromatin data, the authors combined biotinylated RNA pulldown mass spectrometry, PAR-CLIP/CLIP-qPCR, HCR-RNA-FISH, TSA-seq, and ultra-deep RNA-seq (IRFinder, rMATS) to map snaR-A interactions and splicing outcomes. snaR-A directly binds splicing factors and shows nucleotide-level crosslinking to the U2 snRNP protein SF3B2, and localizes to subnuclear foci adjacent to nuclear speckles and U6-containing sites. Functionally, snaR-A overexpression increases intron retention and selectively depletes SF3B2 protein, whereas snaR-A depletion reduces intron retention for transcripts with high U2 occupancy and speckle proximity. These splicing changes alter protein abundance for multiple targets and coincide with reduced proliferation after snaR-A depletion, consistent with tumor-level associations to growth.</p>
<p> Conclusion:<br />snaR-A acts as a molecular antagonist of U2-dependent splicing by interacting with SF3B2 and perturbing processing of specific mRNA subpopulations, promoting intron retention and proliferation in cancer-relevant contexts.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations</p>
<p> First author:<br />Zhou S</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65448-x</p>
<p> DOI:<br />10.1038/s41467-025-65448-x</p>
<p> Reference:<br />Zhou S., Lizarazo S., Chorghade S., Mouli L., Cheng R., Rajendra K. C., Kalsotra A., Van Bortle K. Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations. Nature Communications. 2025;16:10460. https://doi.org/10.1038/s41467-025-65448-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/snar-a-sf3b2-splicing</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of the snaR-A study: interaction with SF3B2 and U2 snRNP, localization to nuclear speckles, intron retention effects, SF3B2 protein depletion, depletion effects on splicing and protein abundance, proliferation/migration phenotypes, TCGA prognosis, and limitations.<br />- transcript topics: snaR-A interaction with SF3B2 and U2 snRNP; localization of snaR-A to nuclear speckles and proximity to U6; snaR-A-induced intron retention and splicing disruption; SF3B2 protein depletion upon snaR-A overexpression; snaR-A depletion reduces IR in U2-residency, speckle-proximal transcripts; OGFR and other targets affected by splicing changes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi</p>
<h3>Chapters</h3>
<ul><li>(00:00:20) - Cancer's editing room: The heist</li><li>(00:03:27) - The SNAR A saboteur</li><li>(00:07:14) - Snarra disrupts the splicing machinery</li><li>(00:11:53) - Snare A in lung cancer</li><li>(00:16:50) - A whisper in the dark</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zhou S et al., Nature Communications, doi:10.1038/s41467-025-65448-x - snaR-A noncoding RNA interacts with U2 snRNP subunit SF3B2 and nuclear speckles, increasing intron retention and promoting proliferation in human cancer-relevant cells. Key terms: snaR-A, SF3B2, intron retention, nuclear speckles, RNA polymerase III.
 Study Highlights:Using human cell lines (HEK293T, A549, THP-1) and tumor chromatin data, the authors combined biotinylated RNA pulldown mass spectrometry, PAR-CLIP/CLIP-qPCR, HCR-RNA-FISH, TSA-seq, and ultra-deep RNA-seq (IRFinder, rMATS) to map snaR-A interactions and splicing outcomes. snaR-A directly binds splicing factors and shows nucleotide-level crosslinking to the U2 snRNP protein SF3B2, and localizes to subnuclear foci adjacent to nuclear speckles and U6-containing sites. Functionally, snaR-A overexpression increases intron retention and selectively depletes SF3B2 protein, whereas snaR-A depletion reduces intron retention for transcripts with high U2 occupancy and speckle proximity. These splicing changes alter protein abundance for multiple targets and coincide with reduced proliferation after snaR-A depletion, consistent with tumor-level associations to growth.
 Conclusion:snaR-A acts as a molecular antagonist of U2-dependent splicing by interacting with SF3B2 and perturbing processing of specific mRNA subpopulations, promoting intron retention and proliferation in cancer-relevant contexts.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations
 First author:Zhou S
 Journal:Nature Communications, doi:10.1038/s41467-025-65448-x
 DOI:10.1038/s41467-025-65448-x
 Reference:Zhou S., Lizarazo S., Chorghade S., Mouli L., Cheng R., Rajendra K. C., Kalsotra A., Van Bortle K. Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations. Nature Communications. 2025;16:10460. https://doi.org/10.1038/s41467-025-65448-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/snar-a-sf3b2-splicing
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of the snaR-A study: interaction with SF3B2 and U2 snRNP, localization to nuclear speckles, intron retention effects, SF3B2 protein depletion, depletion effects on splicing and protein abundance, proliferation/migration phenotypes, TCGA prognosis, and limitations.- transcript topics: snaR-A interaction with SF3B2 and U2 snRNP; localization of snaR-A to nuclear speckles and proximity to U6; snaR-A-induced intron retention and splicing disruption; SF3B2 protein depletion upon snaR-A overexpression; snaR-A depletion reduces IR in U2-residency, speckle-proximal transcripts; OGFR and other targets affected by splicing changes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[296: snaR-A ncRNA antagonizes U2 snRNP SF3B2 to drive intron retention in human cells]]>
                </itunes:title>
                                    <itunes:episode>296</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zhou S et al., Nature Communications, doi:10.1038/s41467-025-65448-x - snaR-A noncoding RNA interacts with U2 snRNP subunit SF3B2 and nuclear speckles, increasing intron retention and promoting proliferation in human cancer-relevant cells. Key terms: snaR-A, SF3B2, intron retention, nuclear speckles, RNA polymerase III.</p>
<p> Study Highlights:<br />Using human cell lines (HEK293T, A549, THP-1) and tumor chromatin data, the authors combined biotinylated RNA pulldown mass spectrometry, PAR-CLIP/CLIP-qPCR, HCR-RNA-FISH, TSA-seq, and ultra-deep RNA-seq (IRFinder, rMATS) to map snaR-A interactions and splicing outcomes. snaR-A directly binds splicing factors and shows nucleotide-level crosslinking to the U2 snRNP protein SF3B2, and localizes to subnuclear foci adjacent to nuclear speckles and U6-containing sites. Functionally, snaR-A overexpression increases intron retention and selectively depletes SF3B2 protein, whereas snaR-A depletion reduces intron retention for transcripts with high U2 occupancy and speckle proximity. These splicing changes alter protein abundance for multiple targets and coincide with reduced proliferation after snaR-A depletion, consistent with tumor-level associations to growth.</p>
<p> Conclusion:<br />snaR-A acts as a molecular antagonist of U2-dependent splicing by interacting with SF3B2 and perturbing processing of specific mRNA subpopulations, promoting intron retention and proliferation in cancer-relevant contexts.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations</p>
<p> First author:<br />Zhou S</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65448-x</p>
<p> DOI:<br />10.1038/s41467-025-65448-x</p>
<p> Reference:<br />Zhou S., Lizarazo S., Chorghade S., Mouli L., Cheng R., Rajendra K. C., Kalsotra A., Van Bortle K. Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations. Nature Communications. 2025;16:10460. https://doi.org/10.1038/s41467-025-65448-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/snar-a-sf3b2-splicing</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of the snaR-A study: interaction with SF3B2 and U2 snRNP, localization to nuclear speckles, intron retention effects, SF3B2 protein depletion, depletion effects on splicing and protein abundance, proliferation/migration phenotypes, TCGA prognosis, and limitations.<br />- transcript topics: snaR-A interaction with SF3B2 and U2 snRNP; localization of snaR-A to nuclear speckles and proximity to U6; snaR-A-induced intron retention and splicing disruption; SF3B2 protein depletion upon snaR-A overexpression; snaR-A depletion reduces IR in U2-residency, speckle-proximal transcripts; OGFR and other targets affected by splicing changes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- snaR-A ncRNA interacts with SF3B2, a core U2 snRNP component<br />- snaR-A localizes to subnuclear foci near nuclear speckles and U6<br />- overexpression of snaR-A increases intron retention (IR)<br />- snaR-A overexpression reduces SF3B2 protein levels<br />- snaR-A depletion reduces IR for transcripts with high U2 residency and speckle proximity<br />- splicing changes lead to altered protein abundance for targets including OGFR</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Zhou S et al., Nature Communications, doi:10.1038/s41467-025-65448-x - snaR-A noncoding RNA interacts with U2 snRNP subunit SF3B2 and nuclear speckles, increasing intron retention and promoting proliferation in human cancer-relevant cells. Key terms: snaR-A, SF3B2, intron retention, nuclear speckles, RNA polymerase III.
 Study Highlights:Using human cell lines (HEK293T, A549, THP-1) and tumor chromatin data, the authors combined biotinylated RNA pulldown mass spectrometry, PAR-CLIP/CLIP-qPCR, HCR-RNA-FISH, TSA-seq, and ultra-deep RNA-seq (IRFinder, rMATS) to map snaR-A interactions and splicing outcomes. snaR-A directly binds splicing factors and shows nucleotide-level crosslinking to the U2 snRNP protein SF3B2, and localizes to subnuclear foci adjacent to nuclear speckles and U6-containing sites. Functionally, snaR-A overexpression increases intron retention and selectively depletes SF3B2 protein, whereas snaR-A depletion reduces intron retention for transcripts with high U2 occupancy and speckle proximity. These splicing changes alter protein abundance for multiple targets and coincide with reduced proliferation after snaR-A depletion, consistent with tumor-level associations to growth.
 Conclusion:snaR-A acts as a molecular antagonist of U2-dependent splicing by interacting with SF3B2 and perturbing processing of specific mRNA subpopulations, promoting intron retention and proliferation in cancer-relevant contexts.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations
 First author:Zhou S
 Journal:Nature Communications, doi:10.1038/s41467-025-65448-x
 DOI:10.1038/s41467-025-65448-x
 Reference:Zhou S., Lizarazo S., Chorghade S., Mouli L., Cheng R., Rajendra K. C., Kalsotra A., Van Bortle K. Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations. Nature Communications. 2025;16:10460. https://doi.org/10.1038/s41467-025-65448-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/snar-a-sf3b2-splicing
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of the snaR-A study: interaction with SF3B2 and U2 snRNP, localization to nuclear speckles, intron retention effects, SF3B2 protein depletion, depletion effects on splicing and protein abundance, proliferation/migration phenotypes, TCGA prognosis, and limitations.- transcript topics: snaR-A interaction with SF3B2 and U2 snRNP; localization of snaR-A to nuclear speckles and proximity to U6; snaR-A-induced intron retention and splicing disruption; SF3B2 protein depletion upon snaR-A overexpression; snaR-A depletion reduces IR in U2-residency, speckle-proximal transcripts; OGFR and other targets affected by splicing changes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2370106/c1a-p6xp7-rkgdrr6gak3z-lh5veh.png"></itunes:image>
                                                                            <itunes:duration>00:20:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2370106/chapter-data.json"
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                    <item>
                <title>
                    <![CDATA[295: CFTR deltaF508 and CF-risk variants protect against IBD in large exome study]]>
                </title>
                <pubDate>Thu, 19 Feb 2026 21:02:11 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2369075</guid>
                                    <link>https://basebybase.castos.com/episodes/cftr-deltaf508-ibd-protection</link>
                                <description>
                                            <![CDATA[<p>Yu M et al., Cell Genomics, 6 (2026) 101071. doi:10.1016/j.xgen.2025.101071 - Large-scale exome sequencing shows CFTR risk variants, including deltaF508, reduce susceptibility to inflammatory bowel disease, suggesting targeted CFTR modulation as a potential IBD therapy. Key terms: CFTR, deltaF508, inflammatory bowel disease, exome sequencing, rare-variant burden test.</p>
<p> Study Highlights:<br />The authors analyzed large-scale human exome and genome sequencing data (38,558 cases and 66,945 controls in European discovery; 42,475 cases and 192,050 controls in replication across ancestries) using single-variant tests and gene-based rare-variant burden tests. They report a protective single-variant association for CFTR deltaF508 with IBD (meta-analysis p = 8.96E-11, OR = 0.82) and a significant protective gene-level burden of clinically annotated CF-risk variants (meta-analysis p = 3.9E-7, OR = 0.85). The study also compared variant prioritization methods and found clinically curated CFTR2 annotations outperform in silico predictors such as AlphaMissense for powering burden tests. Replication signals were observed in non-European groups at nominal significance and the results support exploration of selective, tissue-targeted CFTR modulators as a potential therapeutic implication.</p>
<p> Conclusion:<br />Clinically annotated CFTR risk variants, including deltaF508, confer a reproducible protective effect against IBD in large sequencing cohorts, supporting investigation of selective tissue-targeted CFTR modulation while balancing cystic fibrosis risks.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cystic fibrosis risk variants confer protection against inflammatory bowel disease</p>
<p> First author:<br />Yu M</p>
<p> Journal:<br />Cell Genomics, 6 (2026) 101071. doi:10.1016/j.xgen.2025.101071</p>
<p> DOI:<br />10.1016/j.xgen.2025.101071</p>
<p> Reference:<br />Yu M., Zhang Q., Yuan K., Sazonovs A., Stevens C.R., Fachal L., et al. Cystic fibrosis risk variants confer protection against inflammatory bowel disease. Cell Genomics. 6 (2026) 101071. https://doi.org/10.1016/j.xgen.2025.101071</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cftr-deltaf508-ibd-protection</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the Results and Discussion segments of the transcript, including the DeltaF508 association with IBD, CFTR2-based burden tests, replication across ancestries, AlphaMissense evaluation and mechanistic discussion about mucus and BEST4+ enterocytes, and therapeutic implications.<br />- transcript topics: CFTR deltaF508 single-variant association with IBD; CFTR2-based rare-variant burden test; negative control with non-CF-risk variants; ancestry-adjusted analysis and replication (EUR, AFR.AMR, EAS); CFTR variant prioritization: AlphaMissense vs CFTR2; mechanistic discussion: mucus hydration and BEST4+ enterocytes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Yu M et al., Cell Genomics, 6 (2026) 101071. doi:10.1016/j.xgen.2025.101071 - Large-scale exome sequencing shows CFTR risk variants, including deltaF508, reduce susceptibility to inflammatory bowel disease, suggesting targeted CFTR modulation as a potential IBD therapy. Key terms: CFTR, deltaF508, inflammatory bowel disease, exome sequencing, rare-variant burden test.
 Study Highlights:The authors analyzed large-scale human exome and genome sequencing data (38,558 cases and 66,945 controls in European discovery; 42,475 cases and 192,050 controls in replication across ancestries) using single-variant tests and gene-based rare-variant burden tests. They report a protective single-variant association for CFTR deltaF508 with IBD (meta-analysis p = 8.96E-11, OR = 0.82) and a significant protective gene-level burden of clinically annotated CF-risk variants (meta-analysis p = 3.9E-7, OR = 0.85). The study also compared variant prioritization methods and found clinically curated CFTR2 annotations outperform in silico predictors such as AlphaMissense for powering burden tests. Replication signals were observed in non-European groups at nominal significance and the results support exploration of selective, tissue-targeted CFTR modulators as a potential therapeutic implication.
 Conclusion:Clinically annotated CFTR risk variants, including deltaF508, confer a reproducible protective effect against IBD in large sequencing cohorts, supporting investigation of selective tissue-targeted CFTR modulation while balancing cystic fibrosis risks.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cystic fibrosis risk variants confer protection against inflammatory bowel disease
 First author:Yu M
 Journal:Cell Genomics, 6 (2026) 101071. doi:10.1016/j.xgen.2025.101071
 DOI:10.1016/j.xgen.2025.101071
 Reference:Yu M., Zhang Q., Yuan K., Sazonovs A., Stevens C.R., Fachal L., et al. Cystic fibrosis risk variants confer protection against inflammatory bowel disease. Cell Genomics. 6 (2026) 101071. https://doi.org/10.1016/j.xgen.2025.101071
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cftr-deltaf508-ibd-protection
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the Results and Discussion segments of the transcript, including the DeltaF508 association with IBD, CFTR2-based burden tests, replication across ancestries, AlphaMissense evaluation and mechanistic discussion about mucus and BEST4+ enterocytes, and therapeutic implications.- transcript topics: CFTR deltaF508 single-variant association with IBD; CFTR2-based rare-variant burden test; negative control with non-CF-risk variants; ancestry-adjusted analysis and replication (EUR, AFR.AMR, EAS); CFTR variant prioritization: AlphaMissense vs CFTR2; mechanistic discussion: mucus hydration and BEST4+ enterocytes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[295: CFTR deltaF508 and CF-risk variants protect against IBD in large exome study]]>
                </itunes:title>
                                    <itunes:episode>295</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Yu M et al., Cell Genomics, 6 (2026) 101071. doi:10.1016/j.xgen.2025.101071 - Large-scale exome sequencing shows CFTR risk variants, including deltaF508, reduce susceptibility to inflammatory bowel disease, suggesting targeted CFTR modulation as a potential IBD therapy. Key terms: CFTR, deltaF508, inflammatory bowel disease, exome sequencing, rare-variant burden test.</p>
<p> Study Highlights:<br />The authors analyzed large-scale human exome and genome sequencing data (38,558 cases and 66,945 controls in European discovery; 42,475 cases and 192,050 controls in replication across ancestries) using single-variant tests and gene-based rare-variant burden tests. They report a protective single-variant association for CFTR deltaF508 with IBD (meta-analysis p = 8.96E-11, OR = 0.82) and a significant protective gene-level burden of clinically annotated CF-risk variants (meta-analysis p = 3.9E-7, OR = 0.85). The study also compared variant prioritization methods and found clinically curated CFTR2 annotations outperform in silico predictors such as AlphaMissense for powering burden tests. Replication signals were observed in non-European groups at nominal significance and the results support exploration of selective, tissue-targeted CFTR modulators as a potential therapeutic implication.</p>
<p> Conclusion:<br />Clinically annotated CFTR risk variants, including deltaF508, confer a reproducible protective effect against IBD in large sequencing cohorts, supporting investigation of selective tissue-targeted CFTR modulation while balancing cystic fibrosis risks.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cystic fibrosis risk variants confer protection against inflammatory bowel disease</p>
<p> First author:<br />Yu M</p>
<p> Journal:<br />Cell Genomics, 6 (2026) 101071. doi:10.1016/j.xgen.2025.101071</p>
<p> DOI:<br />10.1016/j.xgen.2025.101071</p>
<p> Reference:<br />Yu M., Zhang Q., Yuan K., Sazonovs A., Stevens C.R., Fachal L., et al. Cystic fibrosis risk variants confer protection against inflammatory bowel disease. Cell Genomics. 6 (2026) 101071. https://doi.org/10.1016/j.xgen.2025.101071</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cftr-deltaf508-ibd-protection</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the Results and Discussion segments of the transcript, including the DeltaF508 association with IBD, CFTR2-based burden tests, replication across ancestries, AlphaMissense evaluation and mechanistic discussion about mucus and BEST4+ enterocytes, and therapeutic implications.<br />- transcript topics: CFTR deltaF508 single-variant association with IBD; CFTR2-based rare-variant burden test; negative control with non-CF-risk variants; ancestry-adjusted analysis and replication (EUR, AFR.AMR, EAS); CFTR variant prioritization: AlphaMissense vs CFTR2; mechanistic discussion: mucus hydration and BEST4+ enterocytes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CFTR deltaF508 single-variant protective effect against IBD (OR 0.82; p 8.96E-11)<br />- CF-risk variants burden test shows protective effect against IBD (OR 0.85; p 3.9E-07)<br />- CD/UC subtype effects: deltaF508 protective stronger for CD (OR ~0.79) than UC (OR ~0.87)<br />- Exclusion of homozygous deltaF508 to avoid CF misclassification<br />- Cross-ancestry replication across AFR.AMR and EAS groups<br />- CFTR2-based burden variants outperform AlphaMissense for burden tests</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Yu M et al., Cell Genomics, 6 (2026) 101071. doi:10.1016/j.xgen.2025.101071 - Large-scale exome sequencing shows CFTR risk variants, including deltaF508, reduce susceptibility to inflammatory bowel disease, suggesting targeted CFTR modulation as a potential IBD therapy. Key terms: CFTR, deltaF508, inflammatory bowel disease, exome sequencing, rare-variant burden test.
 Study Highlights:The authors analyzed large-scale human exome and genome sequencing data (38,558 cases and 66,945 controls in European discovery; 42,475 cases and 192,050 controls in replication across ancestries) using single-variant tests and gene-based rare-variant burden tests. They report a protective single-variant association for CFTR deltaF508 with IBD (meta-analysis p = 8.96E-11, OR = 0.82) and a significant protective gene-level burden of clinically annotated CF-risk variants (meta-analysis p = 3.9E-7, OR = 0.85). The study also compared variant prioritization methods and found clinically curated CFTR2 annotations outperform in silico predictors such as AlphaMissense for powering burden tests. Replication signals were observed in non-European groups at nominal significance and the results support exploration of selective, tissue-targeted CFTR modulators as a potential therapeutic implication.
 Conclusion:Clinically annotated CFTR risk variants, including deltaF508, confer a reproducible protective effect against IBD in large sequencing cohorts, supporting investigation of selective tissue-targeted CFTR modulation while balancing cystic fibrosis risks.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cystic fibrosis risk variants confer protection against inflammatory bowel disease
 First author:Yu M
 Journal:Cell Genomics, 6 (2026) 101071. doi:10.1016/j.xgen.2025.101071
 DOI:10.1016/j.xgen.2025.101071
 Reference:Yu M., Zhang Q., Yuan K., Sazonovs A., Stevens C.R., Fachal L., et al. Cystic fibrosis risk variants confer protection against inflammatory bowel disease. Cell Genomics. 6 (2026) 101071. https://doi.org/10.1016/j.xgen.2025.101071
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cftr-deltaf508-ibd-protection
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the Results and Discussion segments of the transcript, including the DeltaF508 association with IBD, CFTR2-based burden tests, replication across ancestries, AlphaMissense evaluation and mechanistic discussion about mucus and BEST4+ enterocytes, and therapeutic implications.- transcript topics: CFTR deltaF508 single-variant association with IBD; CFTR2-based rare-variant burden test; negative control with non-CF-risk variants; ancestry-adjusted analysis and replication (EUR, AFR.AMR, EAS); CFTR variant prioritization: AlphaMissense vs CFTR2; mechanistic discussion: mucus hydration and BEST4+ enterocytes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:28:25</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[294: Alternative splicing, exonization and lineage-specific isoforms: PTBP1, MAPT and TE-derived exons in mammalian evolution]]>
                </title>
                <pubDate>Wed, 18 Feb 2026 22:18:49 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
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                                    <link>https://basebybase.castos.com/episodes/alternative-splicing-exonization-evolution</link>
                                <description>
                                            <![CDATA[<p>Hunter CE et al., The EMBO Journal, doi:10.1038/s44318-025-00666-z - Review shows how alternative splicing, via TE exonization and cis-regulatory changes and revealed by long-read RNA-seq, reshapes gene regulation and drives phenotypic evolution in mammals. Key terms: alternative splicing, exonization, long-read RNA-seq, microexons, comparative transcriptomics.</p>
<p> Study Highlights:<br />This review synthesizes comparative transcriptomic studies across multicellular eukaryotes with emphasis on vertebrates and mammals. It highlights methods including short- and long-read RNA-seq, single-cell transcriptomics, and MS proteomics to map isoform diversity. The authors emphasize that lineage-specific AS is often driven by cis-regulatory changes and exonization of transposable elements, with trans-factor innovations (e.g., SRRM3/4, PTBP1 isoforms) modulating microexons and isoform ratios. Functional examples linking AS to phenotypes include an Alu-derived IFNAR2 decoy receptor reducing JAK/STAT signaling, TNNI3 exon3 loss or skipping associated with extreme heart rates, and hominoid shifts in MAPT exon10 splicing altering tau isoform proportion.</p>
<p> Conclusion:<br />Alternative splicing, shaped largely by cis-sequence changes and TE exonization and illuminated by long-read and single-cell transcriptomics, is a flexible evolutionary mechanism that can produce lineage-specific regulatory and phenotypic innovations.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The splice of life: how alternative splicing shapes regulatory and phenotypic evolution</p>
<p> First author:<br />Hunter CE</p>
<p> Journal:<br />The EMBO Journal, doi:10.1038/s44318-025-00666-z</p>
<p> DOI:<br />10.1038/s44318-025-00666-z</p>
<p> Reference:<br />Hunter CE, Xing Y. The splice of life: how alternative splicing shapes regulatory and phenotypic evolution. The EMBO Journal. 2026. https://doi.org/10.1038/s44318-025-00666-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/alternative-splicing-exonization-evolution</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited sections covering splicing mechanisms, exonization and TE-derived exons, three main evolutionary modes of AS, cis vs trans regulation, sequencing technologies (long-read, single-cell, proteomics), and case studies (TBXT tail loss, TNNI3, MAPT). Also reviewed Tc1 humanized mouse results and immune/<br />- transcript topics: Basics of alternative splicing and spliceosome regulation; Exon creation via TE exonization (Alu elements) and exonization examples (IFNAR2); Exon loss and splicing level changes as evolutionary modes; Three case studies: TBXT tail loss via exon skipping; TNNI3 exon 3 loss/skip for high heart rate; MAPT exon 10 splicing and tau isoforms; Cis-regulatory vs trans-acting factors in splicing evolution (Tc1 human chromosome 21 study); Splicing regulators and microexons (SRRM3/4, PTBP1) and their evolutionary implications</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br /></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Hunter CE et al., The EMBO Journal, doi:10.1038/s44318-025-00666-z - Review shows how alternative splicing, via TE exonization and cis-regulatory changes and revealed by long-read RNA-seq, reshapes gene regulation and drives phenotypic evolution in mammals. Key terms: alternative splicing, exonization, long-read RNA-seq, microexons, comparative transcriptomics.
 Study Highlights:This review synthesizes comparative transcriptomic studies across multicellular eukaryotes with emphasis on vertebrates and mammals. It highlights methods including short- and long-read RNA-seq, single-cell transcriptomics, and MS proteomics to map isoform diversity. The authors emphasize that lineage-specific AS is often driven by cis-regulatory changes and exonization of transposable elements, with trans-factor innovations (e.g., SRRM3/4, PTBP1 isoforms) modulating microexons and isoform ratios. Functional examples linking AS to phenotypes include an Alu-derived IFNAR2 decoy receptor reducing JAK/STAT signaling, TNNI3 exon3 loss or skipping associated with extreme heart rates, and hominoid shifts in MAPT exon10 splicing altering tau isoform proportion.
 Conclusion:Alternative splicing, shaped largely by cis-sequence changes and TE exonization and illuminated by long-read and single-cell transcriptomics, is a flexible evolutionary mechanism that can produce lineage-specific regulatory and phenotypic innovations.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The splice of life: how alternative splicing shapes regulatory and phenotypic evolution
 First author:Hunter CE
 Journal:The EMBO Journal, doi:10.1038/s44318-025-00666-z
 DOI:10.1038/s44318-025-00666-z
 Reference:Hunter CE, Xing Y. The splice of life: how alternative splicing shapes regulatory and phenotypic evolution. The EMBO Journal. 2026. https://doi.org/10.1038/s44318-025-00666-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/alternative-splicing-exonization-evolution
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited sections covering splicing mechanisms, exonization and TE-derived exons, three main evolutionary modes of AS, cis vs trans regulation, sequencing technologies (long-read, single-cell, proteomics), and case studies (TBXT tail loss, TNNI3, MAPT). Also reviewed Tc1 humanized mouse results and immune/- transcript topics: Basics of alternative splicing and spliceosome regulation; Exon creation via TE exonization (Alu elements) and exonization examples (IFNAR2); Exon loss and splicing level changes as evolutionary modes; Three case studies: TBXT tail loss via exon skipping; TNNI3 exon 3 loss/skip for high heart rate; MAPT exon 10 splicing and tau isoforms; Cis-regulatory vs trans-acting factors in splicing evolution (Tc1 human chromosome 21 study); Splicing regulators and microexons (SRRM3/4, PTBP1) and their evolutionary implications
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[294: Alternative splicing, exonization and lineage-specific isoforms: PTBP1, MAPT and TE-derived exons in mammalian evolution]]>
                </itunes:title>
                                    <itunes:episode>294</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Hunter CE et al., The EMBO Journal, doi:10.1038/s44318-025-00666-z - Review shows how alternative splicing, via TE exonization and cis-regulatory changes and revealed by long-read RNA-seq, reshapes gene regulation and drives phenotypic evolution in mammals. Key terms: alternative splicing, exonization, long-read RNA-seq, microexons, comparative transcriptomics.</p>
<p> Study Highlights:<br />This review synthesizes comparative transcriptomic studies across multicellular eukaryotes with emphasis on vertebrates and mammals. It highlights methods including short- and long-read RNA-seq, single-cell transcriptomics, and MS proteomics to map isoform diversity. The authors emphasize that lineage-specific AS is often driven by cis-regulatory changes and exonization of transposable elements, with trans-factor innovations (e.g., SRRM3/4, PTBP1 isoforms) modulating microexons and isoform ratios. Functional examples linking AS to phenotypes include an Alu-derived IFNAR2 decoy receptor reducing JAK/STAT signaling, TNNI3 exon3 loss or skipping associated with extreme heart rates, and hominoid shifts in MAPT exon10 splicing altering tau isoform proportion.</p>
<p> Conclusion:<br />Alternative splicing, shaped largely by cis-sequence changes and TE exonization and illuminated by long-read and single-cell transcriptomics, is a flexible evolutionary mechanism that can produce lineage-specific regulatory and phenotypic innovations.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The splice of life: how alternative splicing shapes regulatory and phenotypic evolution</p>
<p> First author:<br />Hunter CE</p>
<p> Journal:<br />The EMBO Journal, doi:10.1038/s44318-025-00666-z</p>
<p> DOI:<br />10.1038/s44318-025-00666-z</p>
<p> Reference:<br />Hunter CE, Xing Y. The splice of life: how alternative splicing shapes regulatory and phenotypic evolution. The EMBO Journal. 2026. https://doi.org/10.1038/s44318-025-00666-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/alternative-splicing-exonization-evolution</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited sections covering splicing mechanisms, exonization and TE-derived exons, three main evolutionary modes of AS, cis vs trans regulation, sequencing technologies (long-read, single-cell, proteomics), and case studies (TBXT tail loss, TNNI3, MAPT). Also reviewed Tc1 humanized mouse results and immune/<br />- transcript topics: Basics of alternative splicing and spliceosome regulation; Exon creation via TE exonization (Alu elements) and exonization examples (IFNAR2); Exon loss and splicing level changes as evolutionary modes; Three case studies: TBXT tail loss via exon skipping; TNNI3 exon 3 loss/skip for high heart rate; MAPT exon 10 splicing and tau isoforms; Cis-regulatory vs trans-acting factors in splicing evolution (Tc1 human chromosome 21 study); Splicing regulators and microexons (SRRM3/4, PTBP1) and their evolutionary implications</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Exon creation via transposable elements (TE exonization) contributes new exons (e.g., Alu-derived exons in immune genes like IFNAR2)<br />- Exon loss or skipping (e.g., TBXT exon 6) can drive phenotypic changes such as tail loss in hominoids<br />- Splicing-level changes (altered inclusion of exons) can reshape isoform outputs without changing gene presence<br />- MAPT exon 10 splicing, modulated by MBNL, shifts tau isoform ratios (3R/4R) and is linked to lineage-specific brain features<br />- Cis-regulatory changes predominantly drive lineage-specific AS patterns; Tc1 mouse study shows human exon splicing is recapitulated by cis elements rather than trans factors</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Hunter CE et al., The EMBO Journal, doi:10.1038/s44318-025-00666-z - Review shows how alternative splicing, via TE exonization and cis-regulatory changes and revealed by long-read RNA-seq, reshapes gene regulation and drives phenotypic evolution in mammals. Key terms: alternative splicing, exonization, long-read RNA-seq, microexons, comparative transcriptomics.
 Study Highlights:This review synthesizes comparative transcriptomic studies across multicellular eukaryotes with emphasis on vertebrates and mammals. It highlights methods including short- and long-read RNA-seq, single-cell transcriptomics, and MS proteomics to map isoform diversity. The authors emphasize that lineage-specific AS is often driven by cis-regulatory changes and exonization of transposable elements, with trans-factor innovations (e.g., SRRM3/4, PTBP1 isoforms) modulating microexons and isoform ratios. Functional examples linking AS to phenotypes include an Alu-derived IFNAR2 decoy receptor reducing JAK/STAT signaling, TNNI3 exon3 loss or skipping associated with extreme heart rates, and hominoid shifts in MAPT exon10 splicing altering tau isoform proportion.
 Conclusion:Alternative splicing, shaped largely by cis-sequence changes and TE exonization and illuminated by long-read and single-cell transcriptomics, is a flexible evolutionary mechanism that can produce lineage-specific regulatory and phenotypic innovations.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The splice of life: how alternative splicing shapes regulatory and phenotypic evolution
 First author:Hunter CE
 Journal:The EMBO Journal, doi:10.1038/s44318-025-00666-z
 DOI:10.1038/s44318-025-00666-z
 Reference:Hunter CE, Xing Y. The splice of life: how alternative splicing shapes regulatory and phenotypic evolution. The EMBO Journal. 2026. https://doi.org/10.1038/s44318-025-00666-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/alternative-splicing-exonization-evolution
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited sections covering splicing mechanisms, exonization and TE-derived exons, three main evolutionary modes of AS, cis vs trans regulation, sequencing technologies (long-read, single-cell, proteomics), and case studies (TBXT tail loss, TNNI3, MAPT). Also reviewed Tc1 humanized mouse results and immune/- transcript topics: Basics of alternative splicing and spliceosome regulation; Exon creation via TE exonization (Alu elements) and exonization examples (IFNAR2); Exon loss and splicing level changes as evolutionary modes; Three case studies: TBXT tail loss via exon skipping; TNNI3 exon 3 loss/skip for high heart rate; MAPT exon 10 splicing and tau isoforms; Cis-regulatory vs trans-acting factors in splicing evolution (Tc1 human chromosome 21 study); Splicing regulators and microexons (SRRM3/4, PTBP1) and their evolutionary implications
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2367507/c1a-p6xp7-rkgdrrq8hwwg-utkl7i.png"></itunes:image>
                                                                            <itunes:duration>00:36:58</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[293: IndeLLM (ESM2) zero-shot scoring and Siamese transfer learning for in-frame indel prediction (MCC 0.77)]]>
                </title>
                <pubDate>Tue, 17 Feb 2026 10:21:31 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2366128</guid>
                                    <link>https://basebybase.castos.com/episodes/indellm-indel-siamese-model</link>
                                <description>
                                            <![CDATA[<p>Gracia Carmona O et al., Patterns, 7 (2026) 101425. doi:10.1016/j.patter.2025.101425 - IndeLLM uses protein language models (ESM2) to score in-frame indels and a compact Siamese transfer-learning model that achieves state-of-the-art pathogenicity prediction with MCC = 0.77. Key terms: IndeLLM, protein language models, in-frame indels, Siamese network, ESM2.</p>
<p> Study Highlights:<br />Using human protein sequences and ESM2 embeddings, the authors develop IndeLLM, a zero-shot scoring function that sums overlapping-region probabilities to correct length bias in in-frame indels. They train a compact Siamese one-hidden-layer network on PLM embeddings with biologically guided embedding splitting and achieve MCC = 0.77 on the test set. Per-residue probability differences mapped onto structures (FGFR1, GLMN) identify local regions affected by indels and improve interpretability. The framework reduces insertion false negatives and is released with Colab and GitHub tools for indel annotation and disease-variant analysis.</p>
<p> Conclusion:<br />IndeLLM zero-shot scoring and a small Siamese transfer-learning model provide improved, interpretable indel pathogenicity prediction, with the Siamese model achieving MCC = 0.77.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Leveraging protein language models and a scoring function for indel characterization and transfer learning</p>
<p> First author:<br />Gracia Carmona O</p>
<p> Journal:<br />Patterns, 7 (2026) 101425. doi:10.1016/j.patter.2025.101425</p>
<p> DOI:<br />10.1016/j.patter.2025.101425</p>
<p> Reference:<br />Gracia Carmona O, Leipart V, Amdam GV, Orengo C, Fraternali F. Leveraging protein language models and a scoring function for indel characterization and transfer learning. Patterns. 7 (2026) 101425. https://doi.org/10.1016/j.patter.2025.101425</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/indellm-indel-siamese-model</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content conveyed in the transcript: indel biology, IndeLLM zero-shot scoring, Siamese Model 4, performance metrics, interpretability via structure-mapped probability changes, structural validation with AlphaFold, and broad applicability including non-human systems and accessible tooling.<br />- transcript topics: Indel biology: in-frame indels vs frameshift indels; Protein language models and length bias; Indel scoring: IndeLLM zero-shot (overlapping regions); Probability scoring math: sum vs log-sum; Siamese network (Model 4) and transfer learning; Performance metrics: MCC 0.65 (zero-shot) and 0.77 (Siamese); comparison to Provean</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- IndeLLM zero-shot scoring uses overlapping regions to correct length bias<br />- Switch from log probability sums to sum of probabilities to reduce noise<br />- Model 4 Siamese network with embedding split...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Gracia Carmona O et al., Patterns, 7 (2026) 101425. doi:10.1016/j.patter.2025.101425 - IndeLLM uses protein language models (ESM2) to score in-frame indels and a compact Siamese transfer-learning model that achieves state-of-the-art pathogenicity prediction with MCC = 0.77. Key terms: IndeLLM, protein language models, in-frame indels, Siamese network, ESM2.
 Study Highlights:Using human protein sequences and ESM2 embeddings, the authors develop IndeLLM, a zero-shot scoring function that sums overlapping-region probabilities to correct length bias in in-frame indels. They train a compact Siamese one-hidden-layer network on PLM embeddings with biologically guided embedding splitting and achieve MCC = 0.77 on the test set. Per-residue probability differences mapped onto structures (FGFR1, GLMN) identify local regions affected by indels and improve interpretability. The framework reduces insertion false negatives and is released with Colab and GitHub tools for indel annotation and disease-variant analysis.
 Conclusion:IndeLLM zero-shot scoring and a small Siamese transfer-learning model provide improved, interpretable indel pathogenicity prediction, with the Siamese model achieving MCC = 0.77.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Leveraging protein language models and a scoring function for indel characterization and transfer learning
 First author:Gracia Carmona O
 Journal:Patterns, 7 (2026) 101425. doi:10.1016/j.patter.2025.101425
 DOI:10.1016/j.patter.2025.101425
 Reference:Gracia Carmona O, Leipart V, Amdam GV, Orengo C, Fraternali F. Leveraging protein language models and a scoring function for indel characterization and transfer learning. Patterns. 7 (2026) 101425. https://doi.org/10.1016/j.patter.2025.101425
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/indellm-indel-siamese-model
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content conveyed in the transcript: indel biology, IndeLLM zero-shot scoring, Siamese Model 4, performance metrics, interpretability via structure-mapped probability changes, structural validation with AlphaFold, and broad applicability including non-human systems and accessible tooling.- transcript topics: Indel biology: in-frame indels vs frameshift indels; Protein language models and length bias; Indel scoring: IndeLLM zero-shot (overlapping regions); Probability scoring math: sum vs log-sum; Siamese network (Model 4) and transfer learning; Performance metrics: MCC 0.65 (zero-shot) and 0.77 (Siamese); comparison to Provean
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- IndeLLM zero-shot scoring uses overlapping regions to correct length bias- Switch from log probability sums to sum of probabilities to reduce noise- Model 4 Siamese network with embedding split...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[293: IndeLLM (ESM2) zero-shot scoring and Siamese transfer learning for in-frame indel prediction (MCC 0.77)]]>
                </itunes:title>
                                    <itunes:episode>293</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Gracia Carmona O et al., Patterns, 7 (2026) 101425. doi:10.1016/j.patter.2025.101425 - IndeLLM uses protein language models (ESM2) to score in-frame indels and a compact Siamese transfer-learning model that achieves state-of-the-art pathogenicity prediction with MCC = 0.77. Key terms: IndeLLM, protein language models, in-frame indels, Siamese network, ESM2.</p>
<p> Study Highlights:<br />Using human protein sequences and ESM2 embeddings, the authors develop IndeLLM, a zero-shot scoring function that sums overlapping-region probabilities to correct length bias in in-frame indels. They train a compact Siamese one-hidden-layer network on PLM embeddings with biologically guided embedding splitting and achieve MCC = 0.77 on the test set. Per-residue probability differences mapped onto structures (FGFR1, GLMN) identify local regions affected by indels and improve interpretability. The framework reduces insertion false negatives and is released with Colab and GitHub tools for indel annotation and disease-variant analysis.</p>
<p> Conclusion:<br />IndeLLM zero-shot scoring and a small Siamese transfer-learning model provide improved, interpretable indel pathogenicity prediction, with the Siamese model achieving MCC = 0.77.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Leveraging protein language models and a scoring function for indel characterization and transfer learning</p>
<p> First author:<br />Gracia Carmona O</p>
<p> Journal:<br />Patterns, 7 (2026) 101425. doi:10.1016/j.patter.2025.101425</p>
<p> DOI:<br />10.1016/j.patter.2025.101425</p>
<p> Reference:<br />Gracia Carmona O, Leipart V, Amdam GV, Orengo C, Fraternali F. Leveraging protein language models and a scoring function for indel characterization and transfer learning. Patterns. 7 (2026) 101425. https://doi.org/10.1016/j.patter.2025.101425</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/indellm-indel-siamese-model</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content conveyed in the transcript: indel biology, IndeLLM zero-shot scoring, Siamese Model 4, performance metrics, interpretability via structure-mapped probability changes, structural validation with AlphaFold, and broad applicability including non-human systems and accessible tooling.<br />- transcript topics: Indel biology: in-frame indels vs frameshift indels; Protein language models and length bias; Indel scoring: IndeLLM zero-shot (overlapping regions); Probability scoring math: sum vs log-sum; Siamese network (Model 4) and transfer learning; Performance metrics: MCC 0.65 (zero-shot) and 0.77 (Siamese); comparison to Provean</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- IndeLLM zero-shot scoring uses overlapping regions to correct length bias<br />- Switch from log probability sums to sum of probabilities to reduce noise<br />- Model 4 Siamese network with embedding splitting achieves MCC 0.77<br />- Zero-shot MCC is 0.65 and outperforms Brandes scoring (0.58); comparable to supervised methods<br />- Per-residue probability differences mapped to FGFR1 and GLMN explain pathogenicity; AlphaFold used for validation<br />- Honeybee example demonstrates generalizability beyond humans</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Gracia Carmona O et al., Patterns, 7 (2026) 101425. doi:10.1016/j.patter.2025.101425 - IndeLLM uses protein language models (ESM2) to score in-frame indels and a compact Siamese transfer-learning model that achieves state-of-the-art pathogenicity prediction with MCC = 0.77. Key terms: IndeLLM, protein language models, in-frame indels, Siamese network, ESM2.
 Study Highlights:Using human protein sequences and ESM2 embeddings, the authors develop IndeLLM, a zero-shot scoring function that sums overlapping-region probabilities to correct length bias in in-frame indels. They train a compact Siamese one-hidden-layer network on PLM embeddings with biologically guided embedding splitting and achieve MCC = 0.77 on the test set. Per-residue probability differences mapped onto structures (FGFR1, GLMN) identify local regions affected by indels and improve interpretability. The framework reduces insertion false negatives and is released with Colab and GitHub tools for indel annotation and disease-variant analysis.
 Conclusion:IndeLLM zero-shot scoring and a small Siamese transfer-learning model provide improved, interpretable indel pathogenicity prediction, with the Siamese model achieving MCC = 0.77.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Leveraging protein language models and a scoring function for indel characterization and transfer learning
 First author:Gracia Carmona O
 Journal:Patterns, 7 (2026) 101425. doi:10.1016/j.patter.2025.101425
 DOI:10.1016/j.patter.2025.101425
 Reference:Gracia Carmona O, Leipart V, Amdam GV, Orengo C, Fraternali F. Leveraging protein language models and a scoring function for indel characterization and transfer learning. Patterns. 7 (2026) 101425. https://doi.org/10.1016/j.patter.2025.101425
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/indellm-indel-siamese-model
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content conveyed in the transcript: indel biology, IndeLLM zero-shot scoring, Siamese Model 4, performance metrics, interpretability via structure-mapped probability changes, structural validation with AlphaFold, and broad applicability including non-human systems and accessible tooling.- transcript topics: Indel biology: in-frame indels vs frameshift indels; Protein language models and length bias; Indel scoring: IndeLLM zero-shot (overlapping regions); Probability scoring math: sum vs log-sum; Siamese network (Model 4) and transfer learning; Performance metrics: MCC 0.65 (zero-shot) and 0.77 (Siamese); comparison to Provean
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- IndeLLM zero-shot scoring uses overlapping regions to correct length bias- Switch from log probability sums to sum of probabilities to reduce noise- Model 4 Siamese network with embedding split...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2366128/c1a-p6xp7-6z8w22xmh99v-w59i3h.png"></itunes:image>
                                                                            <itunes:duration>00:17:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[292: INS R6C signal-peptide defect reduces preproinsulin ER translocation in iPSC-derived βcells]]>
                </title>
                <pubDate>Tue, 17 Feb 2026 09:29:18 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2365549</guid>
                                    <link>https://basebybase.castos.com/episodes/ins-r6c-recessive-diabetes</link>
                                <description>
                                            <![CDATA[<p>Tong Y et al., EMBO Molecular Medicine, doi:10.1038/s44321-025-00362-9 - Patient data, population genetics and iPSC-derived βcell models show INS R6C impairs preproinsulin ER translocation and causes recessive insulin-deficient diabetes in homozygotes. Key terms: INS R6C, preproinsulin translocation, iPSC-derived beta cells, monogenic diabetes, population genetics.</p>
<p> Study Highlights:<br />The study integrates clinical pedigrees, large-scale population screens and patient-derived iPSC βcell models, plus in vivo transplantation and transcriptomics. AlphaFold 3 structural modeling suggested weakened SRP54 interaction and altered SEC61 orientation for the R6C signal peptide, and population data showed no enrichment of diabetes among heterozygotes. In homozygous R6C iPSC-βcells up to two-thirds of nascent preproinsulin failed to translocate, preproinsulin accumulated, and insulin content and secretion were reduced by roughly 50% with altered proinsulin processing. Functionally, homozygous R6C grafts produced minimal human C-peptide in mice and responded poorly to GLP-1 receptor agonists, while heterozygotes were largely compensated by a single wild-type allele.</p>
<p> Conclusion:<br />INS R6C is a recessive loss-of-function mutation that causes early-onset, insulin-deficient diabetes in homozygotes while heterozygous carriers show variable or absent glycemic phenotypes.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A new form of diabetes caused by INS mutations defined by zygosity, stem cell and population data</p>
<p> First author:<br />Tong Y</p>
<p> Journal:<br />EMBO Molecular Medicine, doi:10.1038/s44321-025-00362-9</p>
<p> DOI:<br />10.1038/s44321-025-00362-9</p>
<p> Reference:<br />Tong Y, Becker M, Schierloh U, Natividade da Silva F, Haataja L, Cai Y, Patel KA, Kobaisi F, Mirshahi UL, Colclough K, Javed MS, Wakeling MN, Fantuzzi F, Lytrivi M, Sawatani T, Arroyo MN, Yi X, Vinci C, Montaser H, Pachera N, Otonkoski T, Igoillo-Esteve M, Scharfmann R, Hattersley AT, Arvan P, De Beaufort C, Cnop M. A new form of diabetes caused by INS mutations defined by zygosity, stem cell and population data. EMBO Molecular Medicine. 2026;18:620–645. https://doi.org/10.1038/s44321-025-00362-9</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ins-r6c-recessive-diabetes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific narrative conveyed in the transcript, focusing on: INS R6C zygosity-dependent diabetes; ER translocation defect caused by the signal peptide; SRP54 and SEC61 translocon involvement; heterozygous vs homozygous iPSC-derived β-cell phenotypes; population-genetic evidence; in vivo transplantatio<br />- transcript topics: INS R6C mutation and zygosity; ER translocation defect and signal peptide mechanism; SRP54 and SEC61 translocon interactions; iPSC-derived β-cell modeling (heterozygous and homozygous); In vivo transplantation and C-peptide outcomes; Population genetics data (UK Biobank, Geisinger) and penetrance</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Tong Y et al., EMBO Molecular Medicine, doi:10.1038/s44321-025-00362-9 - Patient data, population genetics and iPSC-derived βcell models show INS R6C impairs preproinsulin ER translocation and causes recessive insulin-deficient diabetes in homozygotes. Key terms: INS R6C, preproinsulin translocation, iPSC-derived beta cells, monogenic diabetes, population genetics.
 Study Highlights:The study integrates clinical pedigrees, large-scale population screens and patient-derived iPSC βcell models, plus in vivo transplantation and transcriptomics. AlphaFold 3 structural modeling suggested weakened SRP54 interaction and altered SEC61 orientation for the R6C signal peptide, and population data showed no enrichment of diabetes among heterozygotes. In homozygous R6C iPSC-βcells up to two-thirds of nascent preproinsulin failed to translocate, preproinsulin accumulated, and insulin content and secretion were reduced by roughly 50% with altered proinsulin processing. Functionally, homozygous R6C grafts produced minimal human C-peptide in mice and responded poorly to GLP-1 receptor agonists, while heterozygotes were largely compensated by a single wild-type allele.
 Conclusion:INS R6C is a recessive loss-of-function mutation that causes early-onset, insulin-deficient diabetes in homozygotes while heterozygous carriers show variable or absent glycemic phenotypes.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A new form of diabetes caused by INS mutations defined by zygosity, stem cell and population data
 First author:Tong Y
 Journal:EMBO Molecular Medicine, doi:10.1038/s44321-025-00362-9
 DOI:10.1038/s44321-025-00362-9
 Reference:Tong Y, Becker M, Schierloh U, Natividade da Silva F, Haataja L, Cai Y, Patel KA, Kobaisi F, Mirshahi UL, Colclough K, Javed MS, Wakeling MN, Fantuzzi F, Lytrivi M, Sawatani T, Arroyo MN, Yi X, Vinci C, Montaser H, Pachera N, Otonkoski T, Igoillo-Esteve M, Scharfmann R, Hattersley AT, Arvan P, De Beaufort C, Cnop M. A new form of diabetes caused by INS mutations defined by zygosity, stem cell and population data. EMBO Molecular Medicine. 2026;18:620–645. https://doi.org/10.1038/s44321-025-00362-9
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ins-r6c-recessive-diabetes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific narrative conveyed in the transcript, focusing on: INS R6C zygosity-dependent diabetes; ER translocation defect caused by the signal peptide; SRP54 and SEC61 translocon involvement; heterozygous vs homozygous iPSC-derived β-cell phenotypes; population-genetic evidence; in vivo transplantatio- transcript topics: INS R6C mutation and zygosity; ER translocation defect and signal peptide mechanism; SRP54 and SEC61 translocon interactions; iPSC-derived β-cell modeling (heterozygous and homozygous); In vivo transplantation and C-peptide outcomes; Population genetics data (UK Biobank, Geisinger) and penetrance
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[292: INS R6C signal-peptide defect reduces preproinsulin ER translocation in iPSC-derived βcells]]>
                </itunes:title>
                                    <itunes:episode>292</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Tong Y et al., EMBO Molecular Medicine, doi:10.1038/s44321-025-00362-9 - Patient data, population genetics and iPSC-derived βcell models show INS R6C impairs preproinsulin ER translocation and causes recessive insulin-deficient diabetes in homozygotes. Key terms: INS R6C, preproinsulin translocation, iPSC-derived beta cells, monogenic diabetes, population genetics.</p>
<p> Study Highlights:<br />The study integrates clinical pedigrees, large-scale population screens and patient-derived iPSC βcell models, plus in vivo transplantation and transcriptomics. AlphaFold 3 structural modeling suggested weakened SRP54 interaction and altered SEC61 orientation for the R6C signal peptide, and population data showed no enrichment of diabetes among heterozygotes. In homozygous R6C iPSC-βcells up to two-thirds of nascent preproinsulin failed to translocate, preproinsulin accumulated, and insulin content and secretion were reduced by roughly 50% with altered proinsulin processing. Functionally, homozygous R6C grafts produced minimal human C-peptide in mice and responded poorly to GLP-1 receptor agonists, while heterozygotes were largely compensated by a single wild-type allele.</p>
<p> Conclusion:<br />INS R6C is a recessive loss-of-function mutation that causes early-onset, insulin-deficient diabetes in homozygotes while heterozygous carriers show variable or absent glycemic phenotypes.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A new form of diabetes caused by INS mutations defined by zygosity, stem cell and population data</p>
<p> First author:<br />Tong Y</p>
<p> Journal:<br />EMBO Molecular Medicine, doi:10.1038/s44321-025-00362-9</p>
<p> DOI:<br />10.1038/s44321-025-00362-9</p>
<p> Reference:<br />Tong Y, Becker M, Schierloh U, Natividade da Silva F, Haataja L, Cai Y, Patel KA, Kobaisi F, Mirshahi UL, Colclough K, Javed MS, Wakeling MN, Fantuzzi F, Lytrivi M, Sawatani T, Arroyo MN, Yi X, Vinci C, Montaser H, Pachera N, Otonkoski T, Igoillo-Esteve M, Scharfmann R, Hattersley AT, Arvan P, De Beaufort C, Cnop M. A new form of diabetes caused by INS mutations defined by zygosity, stem cell and population data. EMBO Molecular Medicine. 2026;18:620–645. https://doi.org/10.1038/s44321-025-00362-9</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ins-r6c-recessive-diabetes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific narrative conveyed in the transcript, focusing on: INS R6C zygosity-dependent diabetes; ER translocation defect caused by the signal peptide; SRP54 and SEC61 translocon involvement; heterozygous vs homozygous iPSC-derived β-cell phenotypes; population-genetic evidence; in vivo transplantatio<br />- transcript topics: INS R6C mutation and zygosity; ER translocation defect and signal peptide mechanism; SRP54 and SEC61 translocon interactions; iPSC-derived β-cell modeling (heterozygous and homozygous); In vivo transplantation and C-peptide outcomes; Population genetics data (UK Biobank, Geisinger) and penetrance</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Homozygous INS R6C causes early-onset diabetes with greatly reduced insulin production; two bad INS alleles impair ER translocation of preproinsulin (≈66% translocation loss; ≈50%<br />- Heterozygous R6C carriers show limited cellular defects with insulin secretion near normal; modest preproinsulin accumulation and altered proinsulin processing but preserved overal<br />- ER translocation defect is driven by R6C’s effect on signal peptide properties; AlphaFold modeling suggests weakened SRP54 interaction and inverted SEC61 orientation, reducing ER t<br />- Population data indicate no strong enrichment of diabetes in heterozygous carriers (UK Biobank: no diabetes among heterozygotes; Geisinger: odds ratio ~1.4 with wide CI).<br />- GLP-1 receptor agonists improve glucose metrics in homozygotes only modestly and do not restore insulin secretion; insulin replacement remains the primary therapy for homozygous R6<br />- Clinical counseling implications: reclassify INS R6C from dominant to recessive; emphasize penetrance variability and environmental modifiers (e.g., obesity, pregnancy).</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Tong Y et al., EMBO Molecular Medicine, doi:10.1038/s44321-025-00362-9 - Patient data, population genetics and iPSC-derived βcell models show INS R6C impairs preproinsulin ER translocation and causes recessive insulin-deficient diabetes in homozygotes. Key terms: INS R6C, preproinsulin translocation, iPSC-derived beta cells, monogenic diabetes, population genetics.
 Study Highlights:The study integrates clinical pedigrees, large-scale population screens and patient-derived iPSC βcell models, plus in vivo transplantation and transcriptomics. AlphaFold 3 structural modeling suggested weakened SRP54 interaction and altered SEC61 orientation for the R6C signal peptide, and population data showed no enrichment of diabetes among heterozygotes. In homozygous R6C iPSC-βcells up to two-thirds of nascent preproinsulin failed to translocate, preproinsulin accumulated, and insulin content and secretion were reduced by roughly 50% with altered proinsulin processing. Functionally, homozygous R6C grafts produced minimal human C-peptide in mice and responded poorly to GLP-1 receptor agonists, while heterozygotes were largely compensated by a single wild-type allele.
 Conclusion:INS R6C is a recessive loss-of-function mutation that causes early-onset, insulin-deficient diabetes in homozygotes while heterozygous carriers show variable or absent glycemic phenotypes.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A new form of diabetes caused by INS mutations defined by zygosity, stem cell and population data
 First author:Tong Y
 Journal:EMBO Molecular Medicine, doi:10.1038/s44321-025-00362-9
 DOI:10.1038/s44321-025-00362-9
 Reference:Tong Y, Becker M, Schierloh U, Natividade da Silva F, Haataja L, Cai Y, Patel KA, Kobaisi F, Mirshahi UL, Colclough K, Javed MS, Wakeling MN, Fantuzzi F, Lytrivi M, Sawatani T, Arroyo MN, Yi X, Vinci C, Montaser H, Pachera N, Otonkoski T, Igoillo-Esteve M, Scharfmann R, Hattersley AT, Arvan P, De Beaufort C, Cnop M. A new form of diabetes caused by INS mutations defined by zygosity, stem cell and population data. EMBO Molecular Medicine. 2026;18:620–645. https://doi.org/10.1038/s44321-025-00362-9
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ins-r6c-recessive-diabetes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific narrative conveyed in the transcript, focusing on: INS R6C zygosity-dependent diabetes; ER translocation defect caused by the signal peptide; SRP54 and SEC61 translocon involvement; heterozygous vs homozygous iPSC-derived β-cell phenotypes; population-genetic evidence; in vivo transplantatio- transcript topics: INS R6C mutation and zygosity; ER translocation defect and signal peptide mechanism; SRP54 and SEC61 translocon interactions; iPSC-derived β-cell modeling (heterozygous and homozygous); In vivo transplantation and C-peptide outcomes; Population genetics data (UK Biobank, Geisinger) and penetrance
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2365549/c1a-p6xp7-xxk8226ja89x-5l8stm.png"></itunes:image>
                                                                            <itunes:duration>00:17:09</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[290: SMN1 p.Arg288AlafsTer5 exon 7 deletions evade PCR newborn screening yet yield functional SMN isoform]]>
                </title>
                <pubDate>Sun, 15 Feb 2026 23:01:35 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2363622</guid>
                                    <link>https://basebybase.castos.com/episodes/smn1-exon7-frameshift-variants</link>
                                <description>
                                            <![CDATA[<p>Wirth B et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.012 - Two SMN1 exon 7 4-bp deletions (p.Arg288AlafsTer5) evade standard PCR newborn screening but produce a low-abundance, thermostable SMN protein that functionally rescues smn1-deficient zebrafish and averted therapy. Key terms: SMN1, spinal muscular atrophy, newborn screening, p.Arg288AlafsTer5, zebrafish rescue.</p>
<p> Study Highlights:<br />In two clinically healthy newborns flagged as lacking SMN1 by PCR-based NBS, long-range SMN1-specific PCR, Sanger sequencing, MLPA and ddPCR identified distinct 4-bp exon 7 deletions producing the same frameshift p.Arg288AlafsTer5. Cellular assays showed preserved exon 7 splicing, markedly reduced SMN protein abundance, and unchanged protein thermostability, while AlphaFold3 predicted only mild C-terminal structural alteration. Functional complementation in smn1-deficient zebrafish—using both mRNA injection and a stable Tg(UBI-mKate_SMN1-861VUS) transgene—fully rescued morphology, motor behavior, and survival. Population gnomAD analysis indicates these variants are rare but present in Europeans at a carrier frequency that predicts hundreds of compound heterozygotes without reported SMA, informing diagnostic sequencing and avoidance of unnecessary therapy.</p>
<p> Conclusion:<br />Integrated genetic, functional, structural, and population-level evidence supports likely non-pathogenic reclassification of the SMN1 c.855_858delAGAA and c.861_864delAAGG alleles and shows that very low levels of the altered SMN protein can preserve normal motor development.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions</p>
<p> First author:<br />Wirth B</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.012</p>
<p> DOI:<br />10.1016/j.ajhg.2026.01.012</p>
<p> Reference:<br />Wirth B., Das J., Kölbel H., Goh S., Farrar M.A., Piano V., Zetzsche S., Fuhrmann N., Becker J., Karakaya M., Zhang Y., Cao Y., Taghipour-Sheshdeh A., Stringer B.W., Giacomotto J., et al. SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions. The American Journal of Human Genetics. 2026 Mar 5;113:1–9. https://doi.org/10.1016/j.ajhg.2026.01.012</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/smn1-exon7-frameshift-variants</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the two SMN1 exon 7 4-bp deletions, their molecular consequences, splicing, protein abundance and thermostability, in vivo zebrafish rescue, and population-genetics data with implications for clinical practice.<br />- transcript topics: Identification of two SMN1 exon 7 4-bp deletions; Molecular confirmation and variant characterization; SMN1 exon 7 splicing preservation; SMN protein abundance and thermostability assessments; Zebrafish functional rescue experiments; Population genetics (gnomAD) data and carrier frequencies</p>
<p>QC Summary:<br />-...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Wirth B et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.012 - Two SMN1 exon 7 4-bp deletions (p.Arg288AlafsTer5) evade standard PCR newborn screening but produce a low-abundance, thermostable SMN protein that functionally rescues smn1-deficient zebrafish and averted therapy. Key terms: SMN1, spinal muscular atrophy, newborn screening, p.Arg288AlafsTer5, zebrafish rescue.
 Study Highlights:In two clinically healthy newborns flagged as lacking SMN1 by PCR-based NBS, long-range SMN1-specific PCR, Sanger sequencing, MLPA and ddPCR identified distinct 4-bp exon 7 deletions producing the same frameshift p.Arg288AlafsTer5. Cellular assays showed preserved exon 7 splicing, markedly reduced SMN protein abundance, and unchanged protein thermostability, while AlphaFold3 predicted only mild C-terminal structural alteration. Functional complementation in smn1-deficient zebrafish—using both mRNA injection and a stable Tg(UBI-mKate_SMN1-861VUS) transgene—fully rescued morphology, motor behavior, and survival. Population gnomAD analysis indicates these variants are rare but present in Europeans at a carrier frequency that predicts hundreds of compound heterozygotes without reported SMA, informing diagnostic sequencing and avoidance of unnecessary therapy.
 Conclusion:Integrated genetic, functional, structural, and population-level evidence supports likely non-pathogenic reclassification of the SMN1 c.855_858delAGAA and c.861_864delAAGG alleles and shows that very low levels of the altered SMN protein can preserve normal motor development.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions
 First author:Wirth B
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.012
 DOI:10.1016/j.ajhg.2026.01.012
 Reference:Wirth B., Das J., Kölbel H., Goh S., Farrar M.A., Piano V., Zetzsche S., Fuhrmann N., Becker J., Karakaya M., Zhang Y., Cao Y., Taghipour-Sheshdeh A., Stringer B.W., Giacomotto J., et al. SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions. The American Journal of Human Genetics. 2026 Mar 5;113:1–9. https://doi.org/10.1016/j.ajhg.2026.01.012
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/smn1-exon7-frameshift-variants
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the two SMN1 exon 7 4-bp deletions, their molecular consequences, splicing, protein abundance and thermostability, in vivo zebrafish rescue, and population-genetics data with implications for clinical practice.- transcript topics: Identification of two SMN1 exon 7 4-bp deletions; Molecular confirmation and variant characterization; SMN1 exon 7 splicing preservation; SMN protein abundance and thermostability assessments; Zebrafish functional rescue experiments; Population genetics (gnomAD) data and carrier frequencies
QC Summary:-...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[290: SMN1 p.Arg288AlafsTer5 exon 7 deletions evade PCR newborn screening yet yield functional SMN isoform]]>
                </itunes:title>
                                    <itunes:episode>290</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Wirth B et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.012 - Two SMN1 exon 7 4-bp deletions (p.Arg288AlafsTer5) evade standard PCR newborn screening but produce a low-abundance, thermostable SMN protein that functionally rescues smn1-deficient zebrafish and averted therapy. Key terms: SMN1, spinal muscular atrophy, newborn screening, p.Arg288AlafsTer5, zebrafish rescue.</p>
<p> Study Highlights:<br />In two clinically healthy newborns flagged as lacking SMN1 by PCR-based NBS, long-range SMN1-specific PCR, Sanger sequencing, MLPA and ddPCR identified distinct 4-bp exon 7 deletions producing the same frameshift p.Arg288AlafsTer5. Cellular assays showed preserved exon 7 splicing, markedly reduced SMN protein abundance, and unchanged protein thermostability, while AlphaFold3 predicted only mild C-terminal structural alteration. Functional complementation in smn1-deficient zebrafish—using both mRNA injection and a stable Tg(UBI-mKate_SMN1-861VUS) transgene—fully rescued morphology, motor behavior, and survival. Population gnomAD analysis indicates these variants are rare but present in Europeans at a carrier frequency that predicts hundreds of compound heterozygotes without reported SMA, informing diagnostic sequencing and avoidance of unnecessary therapy.</p>
<p> Conclusion:<br />Integrated genetic, functional, structural, and population-level evidence supports likely non-pathogenic reclassification of the SMN1 c.855_858delAGAA and c.861_864delAAGG alleles and shows that very low levels of the altered SMN protein can preserve normal motor development.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions</p>
<p> First author:<br />Wirth B</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.012</p>
<p> DOI:<br />10.1016/j.ajhg.2026.01.012</p>
<p> Reference:<br />Wirth B., Das J., Kölbel H., Goh S., Farrar M.A., Piano V., Zetzsche S., Fuhrmann N., Becker J., Karakaya M., Zhang Y., Cao Y., Taghipour-Sheshdeh A., Stringer B.W., Giacomotto J., et al. SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions. The American Journal of Human Genetics. 2026 Mar 5;113:1–9. https://doi.org/10.1016/j.ajhg.2026.01.012</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/smn1-exon7-frameshift-variants</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the two SMN1 exon 7 4-bp deletions, their molecular consequences, splicing, protein abundance and thermostability, in vivo zebrafish rescue, and population-genetics data with implications for clinical practice.<br />- transcript topics: Identification of two SMN1 exon 7 4-bp deletions; Molecular confirmation and variant characterization; SMN1 exon 7 splicing preservation; SMN protein abundance and thermostability assessments; Zebrafish functional rescue experiments; Population genetics (gnomAD) data and carrier frequencies</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Two SMN1 exon 7 4-bp deletions (c.855_858delAGAA and c.861_864delAAGG) produce p.Arg288AlafsTer5<br />- Deletions disrupt the NBS primer-binding site, explaining initial SMN1 signal loss in screening<br />- Exon 7 splicing is preserved; SMN1 transcripts are full-length with no exon 7 skipping<br />- SMN protein abundance is markedly reduced in carriers<br />- Mutant SMN1 proteins are thermostable and structurally similar to WT<br />- In vivo zebrafish experiments show functional rescue by SMN1-855VUS and SMN1-861VUS</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Wirth B et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.012 - Two SMN1 exon 7 4-bp deletions (p.Arg288AlafsTer5) evade standard PCR newborn screening but produce a low-abundance, thermostable SMN protein that functionally rescues smn1-deficient zebrafish and averted therapy. Key terms: SMN1, spinal muscular atrophy, newborn screening, p.Arg288AlafsTer5, zebrafish rescue.
 Study Highlights:In two clinically healthy newborns flagged as lacking SMN1 by PCR-based NBS, long-range SMN1-specific PCR, Sanger sequencing, MLPA and ddPCR identified distinct 4-bp exon 7 deletions producing the same frameshift p.Arg288AlafsTer5. Cellular assays showed preserved exon 7 splicing, markedly reduced SMN protein abundance, and unchanged protein thermostability, while AlphaFold3 predicted only mild C-terminal structural alteration. Functional complementation in smn1-deficient zebrafish—using both mRNA injection and a stable Tg(UBI-mKate_SMN1-861VUS) transgene—fully rescued morphology, motor behavior, and survival. Population gnomAD analysis indicates these variants are rare but present in Europeans at a carrier frequency that predicts hundreds of compound heterozygotes without reported SMA, informing diagnostic sequencing and avoidance of unnecessary therapy.
 Conclusion:Integrated genetic, functional, structural, and population-level evidence supports likely non-pathogenic reclassification of the SMN1 c.855_858delAGAA and c.861_864delAAGG alleles and shows that very low levels of the altered SMN protein can preserve normal motor development.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions
 First author:Wirth B
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2026.01.012
 DOI:10.1016/j.ajhg.2026.01.012
 Reference:Wirth B., Das J., Kölbel H., Goh S., Farrar M.A., Piano V., Zetzsche S., Fuhrmann N., Becker J., Karakaya M., Zhang Y., Cao Y., Taghipour-Sheshdeh A., Stringer B.W., Giacomotto J., et al. SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions. The American Journal of Human Genetics. 2026 Mar 5;113:1–9. https://doi.org/10.1016/j.ajhg.2026.01.012
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/smn1-exon7-frameshift-variants
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the two SMN1 exon 7 4-bp deletions, their molecular consequences, splicing, protein abundance and thermostability, in vivo zebrafish rescue, and population-genetics data with implications for clinical practice.- transcript topics: Identification of two SMN1 exon 7 4-bp deletions; Molecular confirmation and variant characterization; SMN1 exon 7 splicing preservation; SMN protein abundance and thermostability assessments; Zebrafish functional rescue experiments; Population genetics (gnomAD) data and carrier frequencies
QC Summary:-...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2363622/c1a-p6xp7-345gppo8c508-rkwsvb.png"></itunes:image>
                                                                            <itunes:duration>00:19:14</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[291: Dated gene duplications show Asgard archaeal host complexity before mitochondrial endosymbiosis]]>
                </title>
                <pubDate>Sun, 15 Feb 2026 23:01:35 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2363972</guid>
                                    <link>https://basebybase.castos.com/episodes/asgard-archaea-duplication-timeline</link>
                                <description>
                                            <![CDATA[<p>Kay CJ et al., Nature, doi:10.1038/s41586-025-09808-z - Relaxed-clock dating of pre-LECA gene duplications in Asgard archaeal and alphaproteobacterial lineages shows a complex archaeal host with cytoskeleton, endomembrane system and nucleus before mitochondrial acquisition around 2.2 Ga. Key terms: eukaryogenesis, Asgard archaea, mitochondrial endosymbiosis, gene duplication, molecular clock.</p>
<p> Study Highlights:<br />The study interrogates eukaryogenesis using a time-resolved species tree and a sequential Bayesian relaxed molecular clock applied to 135 gene family trees. Analyses with MCMCTree dated divergence nodes (nFECA 3.05–2.79 Ga, mFECA 2.37–2.13 Ga, LECA 1.80–1.67 Ga) and pre-LECA duplication events of archaeal and bacterial origin. Most archaeal-derived duplications (about 85% of those sampled) were fixed prior to inferred mitochondrial endosymbiosis, with archaeal duplications for actin, tubulin, vesicle trafficking and spliceosomal components dated between ~3.0 and ~2.25 Ga. Functionally, these timings indicate the host lineage had an elaborated cytoskeleton, endomembrane trafficking and nuclear compartmentalization before mitochondrial integration, while alphaproteobacterial duplications cluster near ~2.2 Ga consistent with mitochondrial establishment.</p>
<p> Conclusion:<br />Gene-duplication dating supports a complexified archaeal host with cytoskeleton, endomembrane system and nucleus preceding mitochondrial endosymbiosis, favoring a late-mitochondrion model of eukaryogenesis.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Dated gene duplications elucidate the evolutionary assembly of eukaryotes</p>
<p> First author:<br />Kay CJ</p>
<p> Journal:<br />Nature, doi:10.1038/s41586-025-09808-z</p>
<p> DOI:<br />10.1038/s41586-025-09808-z</p>
<p> Reference:<br />Kay CJ, Spang A, Szöllősi GJ, Pisani D, Williams TA &amp; Donoghue PCJ. Dated gene duplications elucidate the evolutionary assembly of eukaryotes. Nature 650, 129–140 (2026). https://doi.org/10.1038/s41586-025-09808-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/asgard-archaea-duplication-timeline</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections that describe the eukaryogenesis timeline, gene duplication events, and the CALM model, including specific date ranges and functional system developments (cytoskeleton, endomembrane system, nucleus, mitochondrion).<br />- transcript topics: Eukaryogenesis timeline and debate (mitochondria early vs late); Relaxed molecular clock and cross-bracing dating approach; Pre-LECA duplications in archaeal origin (cytoskeleton, nucleus, trafficking); Endomembrane system and vesicle trafficking gene duplications; Nuclear components and RNA polymerase duplications; Mitochondrial endosymbiosis timing and alphaproteobacterial duplications</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />-...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kay CJ et al., Nature, doi:10.1038/s41586-025-09808-z - Relaxed-clock dating of pre-LECA gene duplications in Asgard archaeal and alphaproteobacterial lineages shows a complex archaeal host with cytoskeleton, endomembrane system and nucleus before mitochondrial acquisition around 2.2 Ga. Key terms: eukaryogenesis, Asgard archaea, mitochondrial endosymbiosis, gene duplication, molecular clock.
 Study Highlights:The study interrogates eukaryogenesis using a time-resolved species tree and a sequential Bayesian relaxed molecular clock applied to 135 gene family trees. Analyses with MCMCTree dated divergence nodes (nFECA 3.05–2.79 Ga, mFECA 2.37–2.13 Ga, LECA 1.80–1.67 Ga) and pre-LECA duplication events of archaeal and bacterial origin. Most archaeal-derived duplications (about 85% of those sampled) were fixed prior to inferred mitochondrial endosymbiosis, with archaeal duplications for actin, tubulin, vesicle trafficking and spliceosomal components dated between ~3.0 and ~2.25 Ga. Functionally, these timings indicate the host lineage had an elaborated cytoskeleton, endomembrane trafficking and nuclear compartmentalization before mitochondrial integration, while alphaproteobacterial duplications cluster near ~2.2 Ga consistent with mitochondrial establishment.
 Conclusion:Gene-duplication dating supports a complexified archaeal host with cytoskeleton, endomembrane system and nucleus preceding mitochondrial endosymbiosis, favoring a late-mitochondrion model of eukaryogenesis.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Dated gene duplications elucidate the evolutionary assembly of eukaryotes
 First author:Kay CJ
 Journal:Nature, doi:10.1038/s41586-025-09808-z
 DOI:10.1038/s41586-025-09808-z
 Reference:Kay CJ, Spang A, Szöllősi GJ, Pisani D, Williams TA & Donoghue PCJ. Dated gene duplications elucidate the evolutionary assembly of eukaryotes. Nature 650, 129–140 (2026). https://doi.org/10.1038/s41586-025-09808-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/asgard-archaea-duplication-timeline
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections that describe the eukaryogenesis timeline, gene duplication events, and the CALM model, including specific date ranges and functional system developments (cytoskeleton, endomembrane system, nucleus, mitochondrion).- transcript topics: Eukaryogenesis timeline and debate (mitochondria early vs late); Relaxed molecular clock and cross-bracing dating approach; Pre-LECA duplications in archaeal origin (cytoskeleton, nucleus, trafficking); Endomembrane system and vesicle trafficking gene duplications; Nuclear components and RNA polymerase duplications; Mitochondrial endosymbiosis timing and alphaproteobacterial duplications
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:-...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[291: Dated gene duplications show Asgard archaeal host complexity before mitochondrial endosymbiosis]]>
                </itunes:title>
                                    <itunes:episode>291</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kay CJ et al., Nature, doi:10.1038/s41586-025-09808-z - Relaxed-clock dating of pre-LECA gene duplications in Asgard archaeal and alphaproteobacterial lineages shows a complex archaeal host with cytoskeleton, endomembrane system and nucleus before mitochondrial acquisition around 2.2 Ga. Key terms: eukaryogenesis, Asgard archaea, mitochondrial endosymbiosis, gene duplication, molecular clock.</p>
<p> Study Highlights:<br />The study interrogates eukaryogenesis using a time-resolved species tree and a sequential Bayesian relaxed molecular clock applied to 135 gene family trees. Analyses with MCMCTree dated divergence nodes (nFECA 3.05–2.79 Ga, mFECA 2.37–2.13 Ga, LECA 1.80–1.67 Ga) and pre-LECA duplication events of archaeal and bacterial origin. Most archaeal-derived duplications (about 85% of those sampled) were fixed prior to inferred mitochondrial endosymbiosis, with archaeal duplications for actin, tubulin, vesicle trafficking and spliceosomal components dated between ~3.0 and ~2.25 Ga. Functionally, these timings indicate the host lineage had an elaborated cytoskeleton, endomembrane trafficking and nuclear compartmentalization before mitochondrial integration, while alphaproteobacterial duplications cluster near ~2.2 Ga consistent with mitochondrial establishment.</p>
<p> Conclusion:<br />Gene-duplication dating supports a complexified archaeal host with cytoskeleton, endomembrane system and nucleus preceding mitochondrial endosymbiosis, favoring a late-mitochondrion model of eukaryogenesis.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Dated gene duplications elucidate the evolutionary assembly of eukaryotes</p>
<p> First author:<br />Kay CJ</p>
<p> Journal:<br />Nature, doi:10.1038/s41586-025-09808-z</p>
<p> DOI:<br />10.1038/s41586-025-09808-z</p>
<p> Reference:<br />Kay CJ, Spang A, Szöllősi GJ, Pisani D, Williams TA &amp; Donoghue PCJ. Dated gene duplications elucidate the evolutionary assembly of eukaryotes. Nature 650, 129–140 (2026). https://doi.org/10.1038/s41586-025-09808-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/asgard-archaea-duplication-timeline</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections that describe the eukaryogenesis timeline, gene duplication events, and the CALM model, including specific date ranges and functional system developments (cytoskeleton, endomembrane system, nucleus, mitochondrion).<br />- transcript topics: Eukaryogenesis timeline and debate (mitochondria early vs late); Relaxed molecular clock and cross-bracing dating approach; Pre-LECA duplications in archaeal origin (cytoskeleton, nucleus, trafficking); Endomembrane system and vesicle trafficking gene duplications; Nuclear components and RNA polymerase duplications; Mitochondrial endosymbiosis timing and alphaproteobacterial duplications</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Pre-LECA host features (cytoskeleton, endomembrane system, nucleus) existed before mitochondrial endosymbiosis<br />- nFECA divergence 3.05–2.79 Ga<br />- mFECA divergence 2.37–2.13 Ga<br />- LECA divergence 1.80–1.67 Ga<br />- Alphaproteobacterial duplications associated with mitochondrial endosymbiosis (~2.2 Ga)<br />- 85% of pre-LECA archaeal-origin duplicates fixed before mitochondrial endosymbiosis</p>
<p>QC result: Pass.</p>]]>
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                    <![CDATA[Kay CJ et al., Nature, doi:10.1038/s41586-025-09808-z - Relaxed-clock dating of pre-LECA gene duplications in Asgard archaeal and alphaproteobacterial lineages shows a complex archaeal host with cytoskeleton, endomembrane system and nucleus before mitochondrial acquisition around 2.2 Ga. Key terms: eukaryogenesis, Asgard archaea, mitochondrial endosymbiosis, gene duplication, molecular clock.
 Study Highlights:The study interrogates eukaryogenesis using a time-resolved species tree and a sequential Bayesian relaxed molecular clock applied to 135 gene family trees. Analyses with MCMCTree dated divergence nodes (nFECA 3.05–2.79 Ga, mFECA 2.37–2.13 Ga, LECA 1.80–1.67 Ga) and pre-LECA duplication events of archaeal and bacterial origin. Most archaeal-derived duplications (about 85% of those sampled) were fixed prior to inferred mitochondrial endosymbiosis, with archaeal duplications for actin, tubulin, vesicle trafficking and spliceosomal components dated between ~3.0 and ~2.25 Ga. Functionally, these timings indicate the host lineage had an elaborated cytoskeleton, endomembrane trafficking and nuclear compartmentalization before mitochondrial integration, while alphaproteobacterial duplications cluster near ~2.2 Ga consistent with mitochondrial establishment.
 Conclusion:Gene-duplication dating supports a complexified archaeal host with cytoskeleton, endomembrane system and nucleus preceding mitochondrial endosymbiosis, favoring a late-mitochondrion model of eukaryogenesis.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Dated gene duplications elucidate the evolutionary assembly of eukaryotes
 First author:Kay CJ
 Journal:Nature, doi:10.1038/s41586-025-09808-z
 DOI:10.1038/s41586-025-09808-z
 Reference:Kay CJ, Spang A, Szöllősi GJ, Pisani D, Williams TA & Donoghue PCJ. Dated gene duplications elucidate the evolutionary assembly of eukaryotes. Nature 650, 129–140 (2026). https://doi.org/10.1038/s41586-025-09808-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/asgard-archaea-duplication-timeline
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections that describe the eukaryogenesis timeline, gene duplication events, and the CALM model, including specific date ranges and functional system developments (cytoskeleton, endomembrane system, nucleus, mitochondrion).- transcript topics: Eukaryogenesis timeline and debate (mitochondria early vs late); Relaxed molecular clock and cross-bracing dating approach; Pre-LECA duplications in archaeal origin (cytoskeleton, nucleus, trafficking); Endomembrane system and vesicle trafficking gene duplications; Nuclear components and RNA polymerase duplications; Mitochondrial endosymbiosis timing and alphaproteobacterial duplications
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:-...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2363972/c1a-p6xp7-345gppwdspkv-n9qe8v.png"></itunes:image>
                                                                            <itunes:duration>00:06:39</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[290 auf Deutsch: SMN1-Exon-7-Deletionen p.Arg288AlafsTer5 entgehen dem PCR-Neugeborenenscreening und erzeugen dennoch eine funktionelle SMN-Isoform]]>
                </title>
                <pubDate>Sat, 14 Feb 2026 12:33:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2374566</guid>
                                    <link>https://basebybase.castos.com/episodes/smn1-exon7-frameshift-variants-2</link>
                                <description>
                                            <![CDATA[<p>Wirth B et al. (The American Journal of Human Genetics, 2026) — Zwei 4-bp-Deletionen in Exon 7 von SMN1 (p.Arg288AlafsTer5) entgehen dem Standard-PCR-Neugeborenenscreening, erzeugen jedoch ein SMN-Protein in sehr geringer Menge, das thermostabil ist, smn1-defiziente Zebrafische funktionell rettet und eine Therapie vermeiden half.</p>
<p>Studien-Highlights:<br />• Zwei klinisch gesunde Neugeborene wurden im PCR-basierten Neugeborenenscreening (NBS) fälschlich als „ohne SMN1“ auffällig.<br />• In der Bestätigungsdiagnostik (SMN1-spezifische Long-Range-PCR + Sanger-Sequenzierung + MLPA + ddPCR) wurden zwei unterschiedliche 4-bp-Deletionen in Exon 7 identifiziert, die denselben Frameshift erzeugen: p.Arg288AlafsTer5.<br />• Zellbasierte Assays zeigten erhaltenes Exon-7-Spleißen, eine deutlich reduzierte SMN-Proteinmenge und eine unveränderte Protein-Thermostabilität.<br />• AlphaFold3 sagte nur eine milde strukturelle Veränderung am C-Terminus voraus.<br />• In-vivo-funktionelle Komplementation im smn1-defizienten Zebrafisch (mRNA-Injektion + stabile Tg(UBI-mKate_SMN1-861VUS)-Transgenlinie) rettete Morphologie, Motorik und Überleben vollständig.<br />• Populationsanalyse (gnomAD) legt nahe, dass diese Varianten in Europäern selten, aber vorhanden sind, mit einer Trägerfrequenz, die mit Hunderten von Compound-Heterozygoten ohne registrierte SMA vereinbar ist — ein Argument für diagnostische Sequenzierung und die Vermeidung unnötiger Therapie.</p>
<p>Schlussfolgerung:<br />Integrierte genetische, funktionelle, strukturelle und populationsbasierte Evidenz unterstützt eine wahrscheinlich nicht-pathogene Reklassifizierung der SMN1-Allele c.855_858delAGAA und c.861_864delAAGG und zeigt, dass sehr niedrige Mengen des veränderten SMN-Proteins eine normale motorische Entwicklung erhalten können.</p>
<p>Musik:<br />Genieße am Ende der Episode die Musik, die auf diesem Artikel basiert.</p>
<p>Referenz:<br />Wirth B., Das J., Kölbel H., Goh S., Farrar M.A., Piano V., Zetzsche S., Fuhrmann N., Becker J., Karakaya M., Zhang Y., Cao Y., Taghipour-Sheshdeh A., Stringer B.W., Giacomotto J., et al.<br />SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions.<br />The American Journal of Human Genetics. 2026 Mar 5;113:1–9. https://doi.org/10.1016/j.ajhg.2026.01.012</p>
<p>Lizenz:<br />Diese Episode basiert auf einem Open-Access-Artikel, der unter der Creative Commons Attribution 4.0 International License (CC BY 4.0) veröffentlicht wurde:<br />https://creativecommons.org/licenses/by/4.0/</p>
<p>Unterstützung:<br />Base by Base – Stripe-Spenden:<br />https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p>Offizielle Website:<br />https://basebybase.com</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Wirth B et al. (The American Journal of Human Genetics, 2026) — Zwei 4-bp-Deletionen in Exon 7 von SMN1 (p.Arg288AlafsTer5) entgehen dem Standard-PCR-Neugeborenenscreening, erzeugen jedoch ein SMN-Protein in sehr geringer Menge, das thermostabil ist, smn1-defiziente Zebrafische funktionell rettet und eine Therapie vermeiden half.
Studien-Highlights:• Zwei klinisch gesunde Neugeborene wurden im PCR-basierten Neugeborenenscreening (NBS) fälschlich als „ohne SMN1“ auffällig.• In der Bestätigungsdiagnostik (SMN1-spezifische Long-Range-PCR + Sanger-Sequenzierung + MLPA + ddPCR) wurden zwei unterschiedliche 4-bp-Deletionen in Exon 7 identifiziert, die denselben Frameshift erzeugen: p.Arg288AlafsTer5.• Zellbasierte Assays zeigten erhaltenes Exon-7-Spleißen, eine deutlich reduzierte SMN-Proteinmenge und eine unveränderte Protein-Thermostabilität.• AlphaFold3 sagte nur eine milde strukturelle Veränderung am C-Terminus voraus.• In-vivo-funktionelle Komplementation im smn1-defizienten Zebrafisch (mRNA-Injektion + stabile Tg(UBI-mKate_SMN1-861VUS)-Transgenlinie) rettete Morphologie, Motorik und Überleben vollständig.• Populationsanalyse (gnomAD) legt nahe, dass diese Varianten in Europäern selten, aber vorhanden sind, mit einer Trägerfrequenz, die mit Hunderten von Compound-Heterozygoten ohne registrierte SMA vereinbar ist — ein Argument für diagnostische Sequenzierung und die Vermeidung unnötiger Therapie.
Schlussfolgerung:Integrierte genetische, funktionelle, strukturelle und populationsbasierte Evidenz unterstützt eine wahrscheinlich nicht-pathogene Reklassifizierung der SMN1-Allele c.855_858delAGAA und c.861_864delAAGG und zeigt, dass sehr niedrige Mengen des veränderten SMN-Proteins eine normale motorische Entwicklung erhalten können.
Musik:Genieße am Ende der Episode die Musik, die auf diesem Artikel basiert.
Referenz:Wirth B., Das J., Kölbel H., Goh S., Farrar M.A., Piano V., Zetzsche S., Fuhrmann N., Becker J., Karakaya M., Zhang Y., Cao Y., Taghipour-Sheshdeh A., Stringer B.W., Giacomotto J., et al.SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions.The American Journal of Human Genetics. 2026 Mar 5;113:1–9. https://doi.org/10.1016/j.ajhg.2026.01.012
Lizenz:Diese Episode basiert auf einem Open-Access-Artikel, der unter der Creative Commons Attribution 4.0 International License (CC BY 4.0) veröffentlicht wurde:https://creativecommons.org/licenses/by/4.0/
Unterstützung:Base by Base – Stripe-Spenden:https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
Offizielle Website:https://basebybase.com]]>
                </itunes:subtitle>
                                    <itunes:episodeType>bonus</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[290 auf Deutsch: SMN1-Exon-7-Deletionen p.Arg288AlafsTer5 entgehen dem PCR-Neugeborenenscreening und erzeugen dennoch eine funktionelle SMN-Isoform]]>
                </itunes:title>
                                    <itunes:episode>302</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Wirth B et al. (The American Journal of Human Genetics, 2026) — Zwei 4-bp-Deletionen in Exon 7 von SMN1 (p.Arg288AlafsTer5) entgehen dem Standard-PCR-Neugeborenenscreening, erzeugen jedoch ein SMN-Protein in sehr geringer Menge, das thermostabil ist, smn1-defiziente Zebrafische funktionell rettet und eine Therapie vermeiden half.</p>
<p>Studien-Highlights:<br />• Zwei klinisch gesunde Neugeborene wurden im PCR-basierten Neugeborenenscreening (NBS) fälschlich als „ohne SMN1“ auffällig.<br />• In der Bestätigungsdiagnostik (SMN1-spezifische Long-Range-PCR + Sanger-Sequenzierung + MLPA + ddPCR) wurden zwei unterschiedliche 4-bp-Deletionen in Exon 7 identifiziert, die denselben Frameshift erzeugen: p.Arg288AlafsTer5.<br />• Zellbasierte Assays zeigten erhaltenes Exon-7-Spleißen, eine deutlich reduzierte SMN-Proteinmenge und eine unveränderte Protein-Thermostabilität.<br />• AlphaFold3 sagte nur eine milde strukturelle Veränderung am C-Terminus voraus.<br />• In-vivo-funktionelle Komplementation im smn1-defizienten Zebrafisch (mRNA-Injektion + stabile Tg(UBI-mKate_SMN1-861VUS)-Transgenlinie) rettete Morphologie, Motorik und Überleben vollständig.<br />• Populationsanalyse (gnomAD) legt nahe, dass diese Varianten in Europäern selten, aber vorhanden sind, mit einer Trägerfrequenz, die mit Hunderten von Compound-Heterozygoten ohne registrierte SMA vereinbar ist — ein Argument für diagnostische Sequenzierung und die Vermeidung unnötiger Therapie.</p>
<p>Schlussfolgerung:<br />Integrierte genetische, funktionelle, strukturelle und populationsbasierte Evidenz unterstützt eine wahrscheinlich nicht-pathogene Reklassifizierung der SMN1-Allele c.855_858delAGAA und c.861_864delAAGG und zeigt, dass sehr niedrige Mengen des veränderten SMN-Proteins eine normale motorische Entwicklung erhalten können.</p>
<p>Musik:<br />Genieße am Ende der Episode die Musik, die auf diesem Artikel basiert.</p>
<p>Referenz:<br />Wirth B., Das J., Kölbel H., Goh S., Farrar M.A., Piano V., Zetzsche S., Fuhrmann N., Becker J., Karakaya M., Zhang Y., Cao Y., Taghipour-Sheshdeh A., Stringer B.W., Giacomotto J., et al.<br />SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions.<br />The American Journal of Human Genetics. 2026 Mar 5;113:1–9. https://doi.org/10.1016/j.ajhg.2026.01.012</p>
<p>Lizenz:<br />Diese Episode basiert auf einem Open-Access-Artikel, der unter der Creative Commons Attribution 4.0 International License (CC BY 4.0) veröffentlicht wurde:<br />https://creativecommons.org/licenses/by/4.0/</p>
<p>Unterstützung:<br />Base by Base – Stripe-Spenden:<br />https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p>Offizielle Website:<br />https://basebybase.com</p>]]>
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                                <itunes:summary>
                    <![CDATA[Wirth B et al. (The American Journal of Human Genetics, 2026) — Zwei 4-bp-Deletionen in Exon 7 von SMN1 (p.Arg288AlafsTer5) entgehen dem Standard-PCR-Neugeborenenscreening, erzeugen jedoch ein SMN-Protein in sehr geringer Menge, das thermostabil ist, smn1-defiziente Zebrafische funktionell rettet und eine Therapie vermeiden half.
Studien-Highlights:• Zwei klinisch gesunde Neugeborene wurden im PCR-basierten Neugeborenenscreening (NBS) fälschlich als „ohne SMN1“ auffällig.• In der Bestätigungsdiagnostik (SMN1-spezifische Long-Range-PCR + Sanger-Sequenzierung + MLPA + ddPCR) wurden zwei unterschiedliche 4-bp-Deletionen in Exon 7 identifiziert, die denselben Frameshift erzeugen: p.Arg288AlafsTer5.• Zellbasierte Assays zeigten erhaltenes Exon-7-Spleißen, eine deutlich reduzierte SMN-Proteinmenge und eine unveränderte Protein-Thermostabilität.• AlphaFold3 sagte nur eine milde strukturelle Veränderung am C-Terminus voraus.• In-vivo-funktionelle Komplementation im smn1-defizienten Zebrafisch (mRNA-Injektion + stabile Tg(UBI-mKate_SMN1-861VUS)-Transgenlinie) rettete Morphologie, Motorik und Überleben vollständig.• Populationsanalyse (gnomAD) legt nahe, dass diese Varianten in Europäern selten, aber vorhanden sind, mit einer Trägerfrequenz, die mit Hunderten von Compound-Heterozygoten ohne registrierte SMA vereinbar ist — ein Argument für diagnostische Sequenzierung und die Vermeidung unnötiger Therapie.
Schlussfolgerung:Integrierte genetische, funktionelle, strukturelle und populationsbasierte Evidenz unterstützt eine wahrscheinlich nicht-pathogene Reklassifizierung der SMN1-Allele c.855_858delAGAA und c.861_864delAAGG und zeigt, dass sehr niedrige Mengen des veränderten SMN-Proteins eine normale motorische Entwicklung erhalten können.
Musik:Genieße am Ende der Episode die Musik, die auf diesem Artikel basiert.
Referenz:Wirth B., Das J., Kölbel H., Goh S., Farrar M.A., Piano V., Zetzsche S., Fuhrmann N., Becker J., Karakaya M., Zhang Y., Cao Y., Taghipour-Sheshdeh A., Stringer B.W., Giacomotto J., et al.SMN1 variants identified by false-positive SMA newborn screening tests: Therapeutic hurdles and functional and epidemiological solutions.The American Journal of Human Genetics. 2026 Mar 5;113:1–9. https://doi.org/10.1016/j.ajhg.2026.01.012
Lizenz:Diese Episode basiert auf einem Open-Access-Artikel, der unter der Creative Commons Attribution 4.0 International License (CC BY 4.0) veröffentlicht wurde:https://creativecommons.org/licenses/by/4.0/
Unterstützung:Base by Base – Stripe-Spenden:https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
Offizielle Website:https://basebybase.com]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2374566/c1a-p6xp7-250x8w0vfqp4-ksygr5.png"></itunes:image>
                                                                            <itunes:duration>00:25:20</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[289: MinION detection of chimeric reads in murine Ifna/Ifnb amplicons and ligation-related artifact prevalence]]>
                </title>
                <pubDate>Fri, 13 Feb 2026 08:06:08 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2361741</guid>
                                    <link>https://basebybase.castos.com/episodes/minion-chimeric-reads-ligation-ifna</link>
                                <description>
                                            <![CDATA[<p>White R et al., F1000Research - Investigation of chimeric reads in MinION nanopore sequencing of short PCR amplicons, focusing on ligation-related artifacts, barcode tracing, and the prevalence of cross-gene chimeras in murine Ifna/Ifnb sequencing runs.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Investigation of chimeric reads using the MinION</p>
<p> First author:<br />White R</p>
<p> Journal:<br />F1000Research</p>
<p> DOI:<br />10.12688/f1000research.11547.2</p>
<p> Reference:<br />White R, Pellefigues C, Ronchese F, Lamiable O, Eccles D. Investigation of chimeric reads using the MinION [version 2; peer review: 2 approved]. F1000Research. 2017;6:631. https://doi.org/10.12688/f1000research.11547.2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> QC:<br />This episode was reviewed as a special editorial release.</p>
<p>QC Scope:<br />- human-authored narration, music, and publication metadata<br />- excludes automated single-article AI QC because this episode was not produced by the standard AI narration pipeline<br />- source attribution and descriptive metadata were reviewed manually</p>
<p>QC Summary:<br />- production mode: human-written and human-produced episode<br />- automated transcript-vs-paper AI QC: not applicable<br />- metadata, source attribution, and release assets were reviewed manually</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- reference<br />- license</p>
<p>Factual Items Audited:<br />- episode classified as a human-produced release<br />- canonical human narration retained as the source of record<br />- canonical human-produced music retained as the source of record<br />- automated NotebookLM regeneration intentionally not used for this episode</p>
<p>QC result: Editorial exception. This episode was approved after manual review.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[White R et al., F1000Research - Investigation of chimeric reads in MinION nanopore sequencing of short PCR amplicons, focusing on ligation-related artifacts, barcode tracing, and the prevalence of cross-gene chimeras in murine Ifna/Ifnb sequencing runs.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Investigation of chimeric reads using the MinION
 First author:White R
 Journal:F1000Research
 DOI:10.12688/f1000research.11547.2
 Reference:White R, Pellefigues C, Ronchese F, Lamiable O, Eccles D. Investigation of chimeric reads using the MinION [version 2; peer review: 2 approved]. F1000Research. 2017;6:631. https://doi.org/10.12688/f1000research.11547.2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 QC:This episode was reviewed as a special editorial release.
QC Scope:- human-authored narration, music, and publication metadata- excludes automated single-article AI QC because this episode was not produced by the standard AI narration pipeline- source attribution and descriptive metadata were reviewed manually
QC Summary:- production mode: human-written and human-produced episode- automated transcript-vs-paper AI QC: not applicable- metadata, source attribution, and release assets were reviewed manually
Metadata Audited:- article_doi- article_title- article_journal- reference- license
Factual Items Audited:- episode classified as a human-produced release- canonical human narration retained as the source of record- canonical human-produced music retained as the source of record- automated NotebookLM regeneration intentionally not used for this episode
QC result: Editorial exception. This episode was approved after manual review.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[289: MinION detection of chimeric reads in murine Ifna/Ifnb amplicons and ligation-related artifact prevalence]]>
                </itunes:title>
                                    <itunes:episode>289</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>White R et al., F1000Research - Investigation of chimeric reads in MinION nanopore sequencing of short PCR amplicons, focusing on ligation-related artifacts, barcode tracing, and the prevalence of cross-gene chimeras in murine Ifna/Ifnb sequencing runs.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Investigation of chimeric reads using the MinION</p>
<p> First author:<br />White R</p>
<p> Journal:<br />F1000Research</p>
<p> DOI:<br />10.12688/f1000research.11547.2</p>
<p> Reference:<br />White R, Pellefigues C, Ronchese F, Lamiable O, Eccles D. Investigation of chimeric reads using the MinION [version 2; peer review: 2 approved]. F1000Research. 2017;6:631. https://doi.org/10.12688/f1000research.11547.2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> QC:<br />This episode was reviewed as a special editorial release.</p>
<p>QC Scope:<br />- human-authored narration, music, and publication metadata<br />- excludes automated single-article AI QC because this episode was not produced by the standard AI narration pipeline<br />- source attribution and descriptive metadata were reviewed manually</p>
<p>QC Summary:<br />- production mode: human-written and human-produced episode<br />- automated transcript-vs-paper AI QC: not applicable<br />- metadata, source attribution, and release assets were reviewed manually</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- reference<br />- license</p>
<p>Factual Items Audited:<br />- episode classified as a human-produced release<br />- canonical human narration retained as the source of record<br />- canonical human-produced music retained as the source of record<br />- automated NotebookLM regeneration intentionally not used for this episode</p>
<p>QC result: Editorial exception. This episode was approved after manual review.</p>]]>
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                                <itunes:summary>
                    <![CDATA[White R et al., F1000Research - Investigation of chimeric reads in MinION nanopore sequencing of short PCR amplicons, focusing on ligation-related artifacts, barcode tracing, and the prevalence of cross-gene chimeras in murine Ifna/Ifnb sequencing runs.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Investigation of chimeric reads using the MinION
 First author:White R
 Journal:F1000Research
 DOI:10.12688/f1000research.11547.2
 Reference:White R, Pellefigues C, Ronchese F, Lamiable O, Eccles D. Investigation of chimeric reads using the MinION [version 2; peer review: 2 approved]. F1000Research. 2017;6:631. https://doi.org/10.12688/f1000research.11547.2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 QC:This episode was reviewed as a special editorial release.
QC Scope:- human-authored narration, music, and publication metadata- excludes automated single-article AI QC because this episode was not produced by the standard AI narration pipeline- source attribution and descriptive metadata were reviewed manually
QC Summary:- production mode: human-written and human-produced episode- automated transcript-vs-paper AI QC: not applicable- metadata, source attribution, and release assets were reviewed manually
Metadata Audited:- article_doi- article_title- article_journal- reference- license
Factual Items Audited:- episode classified as a human-produced release- canonical human narration retained as the source of record- canonical human-produced music retained as the source of record- automated NotebookLM regeneration intentionally not used for this episode
QC result: Editorial exception. This episode was approved after manual review.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2361741/c1a-p6xp7-345gpporip8g-5zh7ft.png"></itunes:image>
                                                                            <itunes:duration>00:16:18</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[288: Cryo-EM of rat cerebellar α1/α6 GABAA receptors reveals PZ‑II‑029 binding and β-α-β-α-γ assemblies]]>
                </title>
                <pubDate>Thu, 12 Feb 2026 06:20:49 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2360248</guid>
                                    <link>https://basebybase.castos.com/episodes/cerebellar-gabaa-alpha6-assemblies</link>
                                <description>
                                            <![CDATA[<p>Sun C et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2524504123 - Using cryo-EM and mass spectrometry in rat cerebellum, α1- and α6-containing GABAA receptor assemblies (β‑α‑β‑α‑γ stoichiometry) and PZ-II-029 binding were defined. Key terms: GABAA receptor, cerebellum, α6 subunit, cryo-EM, pyrazoloquinolinone.</p>
<p> Study Highlights:<br />The study used rat cerebellum tissue and combined confocal immunofluorescence, affinity purification with mass spectrometry, and high-resolution cryo-EM to characterize native α1-containing GABAA receptors. Cryo-EM classification resolved eight distinct α1-containing receptor assemblies that conform to a conserved β-α-β-α-γ arrangement and include previously unreported α6-containing heteromers. Structural models of α6-containing receptors show near-symmetric ECD architecture with conserved GABA-binding geometry and distinct electrostatic differences that may affect ligand kinetics. Binding of the α6-selective pyrazoloquinolinone PZ-II-029 at α+/γ− pockets was visualized and found to induce coordinated outward expansion of the extracellular domain, providing a structural basis for subtype-selective modulation.</p>
<p> Conclusion:<br />Native α1-containing cerebellar GABAA receptors adopt a conserved β-α-β-α-γ pentameric scaffold that includes α6 subunits and binds PZ-II-029 at α+/γ− sites, producing extracellular domain expansion.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Molecular assemblies and pharmacology of cerebellar GABAA receptors</p>
<p> First author:<br />Sun C</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2524504123</p>
<p> DOI:<br />10.1073/pnas.2524504123</p>
<p> Reference:<br />Sun C, Jahncke JN, Wright KM, Gouaux E. Molecular assemblies and pharmacology of cerebellar GABAA receptors. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2524504123. Published February 6, 2026. https://doi.org/10.1073/pnas.2524504123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cerebellar-gabaa-alpha6-assemblies</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections cover GABAAR architecture, cerebellar α1/α6 coassembly, native purification and mass spectrometry, cryo-EM assembly identification, PZ-II-029 binding and allosteric effects, ligand-pocket differences, and study limitations.<br />- transcript topics: GABAAR architecture and subunit diversity; Cerebellar distribution of α1 and α6 subunits and mixed α1/α6 assemblies; Native cerebellar receptor purification, nanodisc reconstitution, and mass spectrometry findings; Cryo-EM identification of eight cerebellar GABAAR assemblies and β2-α1-β1-α6-γ2 configuration; PZ-II-029 binding at α+/γ− pockets (α1/γ2 and α6/γ2) and structural consequences; Ligand-induced extracellular-domain expansion and intersubunit distance changes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Native cerebellar GABAARs include mixed α1 an...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sun C et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2524504123 - Using cryo-EM and mass spectrometry in rat cerebellum, α1- and α6-containing GABAA receptor assemblies (β‑α‑β‑α‑γ stoichiometry) and PZ-II-029 binding were defined. Key terms: GABAA receptor, cerebellum, α6 subunit, cryo-EM, pyrazoloquinolinone.
 Study Highlights:The study used rat cerebellum tissue and combined confocal immunofluorescence, affinity purification with mass spectrometry, and high-resolution cryo-EM to characterize native α1-containing GABAA receptors. Cryo-EM classification resolved eight distinct α1-containing receptor assemblies that conform to a conserved β-α-β-α-γ arrangement and include previously unreported α6-containing heteromers. Structural models of α6-containing receptors show near-symmetric ECD architecture with conserved GABA-binding geometry and distinct electrostatic differences that may affect ligand kinetics. Binding of the α6-selective pyrazoloquinolinone PZ-II-029 at α+/γ− pockets was visualized and found to induce coordinated outward expansion of the extracellular domain, providing a structural basis for subtype-selective modulation.
 Conclusion:Native α1-containing cerebellar GABAA receptors adopt a conserved β-α-β-α-γ pentameric scaffold that includes α6 subunits and binds PZ-II-029 at α+/γ− sites, producing extracellular domain expansion.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Molecular assemblies and pharmacology of cerebellar GABAA receptors
 First author:Sun C
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2524504123
 DOI:10.1073/pnas.2524504123
 Reference:Sun C, Jahncke JN, Wright KM, Gouaux E. Molecular assemblies and pharmacology of cerebellar GABAA receptors. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2524504123. Published February 6, 2026. https://doi.org/10.1073/pnas.2524504123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cerebellar-gabaa-alpha6-assemblies
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections cover GABAAR architecture, cerebellar α1/α6 coassembly, native purification and mass spectrometry, cryo-EM assembly identification, PZ-II-029 binding and allosteric effects, ligand-pocket differences, and study limitations.- transcript topics: GABAAR architecture and subunit diversity; Cerebellar distribution of α1 and α6 subunits and mixed α1/α6 assemblies; Native cerebellar receptor purification, nanodisc reconstitution, and mass spectrometry findings; Cryo-EM identification of eight cerebellar GABAAR assemblies and β2-α1-β1-α6-γ2 configuration; PZ-II-029 binding at α+/γ− pockets (α1/γ2 and α6/γ2) and structural consequences; Ligand-induced extracellular-domain expansion and intersubunit distance changes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Native cerebellar GABAARs include mixed α1 an...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[288: Cryo-EM of rat cerebellar α1/α6 GABAA receptors reveals PZ‑II‑029 binding and β-α-β-α-γ assemblies]]>
                </itunes:title>
                                    <itunes:episode>288</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sun C et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2524504123 - Using cryo-EM and mass spectrometry in rat cerebellum, α1- and α6-containing GABAA receptor assemblies (β‑α‑β‑α‑γ stoichiometry) and PZ-II-029 binding were defined. Key terms: GABAA receptor, cerebellum, α6 subunit, cryo-EM, pyrazoloquinolinone.</p>
<p> Study Highlights:<br />The study used rat cerebellum tissue and combined confocal immunofluorescence, affinity purification with mass spectrometry, and high-resolution cryo-EM to characterize native α1-containing GABAA receptors. Cryo-EM classification resolved eight distinct α1-containing receptor assemblies that conform to a conserved β-α-β-α-γ arrangement and include previously unreported α6-containing heteromers. Structural models of α6-containing receptors show near-symmetric ECD architecture with conserved GABA-binding geometry and distinct electrostatic differences that may affect ligand kinetics. Binding of the α6-selective pyrazoloquinolinone PZ-II-029 at α+/γ− pockets was visualized and found to induce coordinated outward expansion of the extracellular domain, providing a structural basis for subtype-selective modulation.</p>
<p> Conclusion:<br />Native α1-containing cerebellar GABAA receptors adopt a conserved β-α-β-α-γ pentameric scaffold that includes α6 subunits and binds PZ-II-029 at α+/γ− sites, producing extracellular domain expansion.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Molecular assemblies and pharmacology of cerebellar GABAA receptors</p>
<p> First author:<br />Sun C</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2524504123</p>
<p> DOI:<br />10.1073/pnas.2524504123</p>
<p> Reference:<br />Sun C, Jahncke JN, Wright KM, Gouaux E. Molecular assemblies and pharmacology of cerebellar GABAA receptors. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2524504123. Published February 6, 2026. https://doi.org/10.1073/pnas.2524504123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cerebellar-gabaa-alpha6-assemblies</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections cover GABAAR architecture, cerebellar α1/α6 coassembly, native purification and mass spectrometry, cryo-EM assembly identification, PZ-II-029 binding and allosteric effects, ligand-pocket differences, and study limitations.<br />- transcript topics: GABAAR architecture and subunit diversity; Cerebellar distribution of α1 and α6 subunits and mixed α1/α6 assemblies; Native cerebellar receptor purification, nanodisc reconstitution, and mass spectrometry findings; Cryo-EM identification of eight cerebellar GABAAR assemblies and β2-α1-β1-α6-γ2 configuration; PZ-II-029 binding at α+/γ− pockets (α1/γ2 and α6/γ2) and structural consequences; Ligand-induced extracellular-domain expansion and intersubunit distance changes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Native cerebellar GABAARs include mixed α1 and α6 subunits forming β2-α1-β1-α6-γ2 assemblies<br />- Eight distinct cerebellar GABAAR assemblies were identified, all conforming to a β-α-β-α-γ scaffold<br />- PZ-II-029 binds at benzodiazepine pockets at α+/γ− interfaces, including α1/γ2 and α6/γ2 pockets, with site-specific interactions<br />- PZ-II-029 binding induces expansion of the extracellular domain and increases intersubunit distances across subunits<br />- Ki of PZ-II-029 is about 4.2 ± 0.4 nM in cerebellar receptor preparations<br />- Delta subunit is detected by mass spectrometry but is not resolved in cryo-EM reconstructions; delta-containing assemblies remain unresolved</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Sun C et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2524504123 - Using cryo-EM and mass spectrometry in rat cerebellum, α1- and α6-containing GABAA receptor assemblies (β‑α‑β‑α‑γ stoichiometry) and PZ-II-029 binding were defined. Key terms: GABAA receptor, cerebellum, α6 subunit, cryo-EM, pyrazoloquinolinone.
 Study Highlights:The study used rat cerebellum tissue and combined confocal immunofluorescence, affinity purification with mass spectrometry, and high-resolution cryo-EM to characterize native α1-containing GABAA receptors. Cryo-EM classification resolved eight distinct α1-containing receptor assemblies that conform to a conserved β-α-β-α-γ arrangement and include previously unreported α6-containing heteromers. Structural models of α6-containing receptors show near-symmetric ECD architecture with conserved GABA-binding geometry and distinct electrostatic differences that may affect ligand kinetics. Binding of the α6-selective pyrazoloquinolinone PZ-II-029 at α+/γ− pockets was visualized and found to induce coordinated outward expansion of the extracellular domain, providing a structural basis for subtype-selective modulation.
 Conclusion:Native α1-containing cerebellar GABAA receptors adopt a conserved β-α-β-α-γ pentameric scaffold that includes α6 subunits and binds PZ-II-029 at α+/γ− sites, producing extracellular domain expansion.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Molecular assemblies and pharmacology of cerebellar GABAA receptors
 First author:Sun C
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2524504123
 DOI:10.1073/pnas.2524504123
 Reference:Sun C, Jahncke JN, Wright KM, Gouaux E. Molecular assemblies and pharmacology of cerebellar GABAA receptors. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2524504123. Published February 6, 2026. https://doi.org/10.1073/pnas.2524504123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cerebellar-gabaa-alpha6-assemblies
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections cover GABAAR architecture, cerebellar α1/α6 coassembly, native purification and mass spectrometry, cryo-EM assembly identification, PZ-II-029 binding and allosteric effects, ligand-pocket differences, and study limitations.- transcript topics: GABAAR architecture and subunit diversity; Cerebellar distribution of α1 and α6 subunits and mixed α1/α6 assemblies; Native cerebellar receptor purification, nanodisc reconstitution, and mass spectrometry findings; Cryo-EM identification of eight cerebellar GABAAR assemblies and β2-α1-β1-α6-γ2 configuration; PZ-II-029 binding at α+/γ− pockets (α1/γ2 and α6/γ2) and structural consequences; Ligand-induced extracellular-domain expansion and intersubunit distance changes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Native cerebellar GABAARs include mixed α1 an...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2360248/c1a-p6xp7-1p2d88voud8m-yfrcsk.png"></itunes:image>
                                                                            <itunes:duration>00:16:55</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[287: EPOP and MTF2 modulate PRC2 H3K27me3 deposition via GA- and GCN-sequence specificity]]>
                </title>
                <pubDate>Wed, 11 Feb 2026 05:30:52 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2358995</guid>
                                    <link>https://basebybase.castos.com/episodes/epop-mtf2-prc2-sequence</link>
                                <description>
                                            <![CDATA[<p>Granata J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2527303123 - In mESCs and defined in vitro assays, EPOP and MTF2 stimulate PRC2 methyltransferase activity and promote de novo H3K27me3 deposition with GA- or GCN-rich DNA preference. Key terms: EPOP, MTF2, PRC2, H3K27me3, DNA-sequence specificity.</p>
<p> Study Highlights:<br />The study used mouse embryonic stem cells with an EED-rescue system and recombinant in vitro assays including HMT assays, EMSA, and ChIP-seq to probe EPOP and MTF2 function. Biochemical HMT assays on oligonucleosomes and dinucleosomes show both EPOP and MTF2 directly stimulate PRC2 catalytic activity, with MTF2 preferentially enhancing activity and binding on GCN-rich linkers and EPOP on GA-rich linkers. ChIP-seq during EED rescue demonstrated that EPOP is dispensable for initial PRC2 recruitment but its knockout reduces de novo H3K27me3 deposition by ~50% and cooperates with MTF2 and JARID2. Together these data indicate linker DNA sequence within nucleation sites guides subcomplex-specific PRC2 binding and catalytic output, influencing spatial establishment of H3K27me3 domains.</p>
<p> Conclusion:<br />EPOP and MTF2 define distinct PRC2 subcomplexes that stimulate PRC2 catalytic activity in a chromatin-dependent, DNA-sequence-specific manner to direct de novo H3K27me3 deposition.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />EPOP and MTF2 activate PRC2 activity through DNA-sequence specificity</p>
<p> First author:<br />Granata J</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2527303123</p>
<p> DOI:<br />10.1073/pnas.2527303123</p>
<p> Reference:<br />Granata J., Liu S., Popoca L., Oksuz O., Reinberg D. EPOP and MTF2 activate PRC2 activity through DNA-sequence specificity. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2527303123. https://doi.org/10.1073/pnas.2527303123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/epop-mtf2-prc2-sequence</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript segments describing PRC2 function, EPOP/MTF2 cofactors, in vitro histone methyltransferase (HMT) assays, the EED rescue system and de novo recruitment, dinucleosome substrates with GA- and GCN-rich linker DNA, EMSA binding data, and the rheostat model of cofactors shaping genome-wide H3K27me3 pattern<br />- transcript topics: PRC2 function and H3K27me3 deposition; EPOP and MTF2 as PRC2 cofactors; In vitro PRC2 histone methyltransferase assays; EED rescue system and de novo PRC2 recruitment; Dinucleosome substrates with GA- and GCN-rich linker DNA; EMSA nucleosome binding and affinity</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- EPOP and MTF2 stimulate PRC2 histone methyltransferase (HMT) activity in vitro<br />- EPOP is dispensable for de novo PRC2 recruitment; MTF2 is essential for de novo recruitment<br />- EPOP knockout reduces de novo H3K27me3 deposition in vivo by ~5...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Granata J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2527303123 - In mESCs and defined in vitro assays, EPOP and MTF2 stimulate PRC2 methyltransferase activity and promote de novo H3K27me3 deposition with GA- or GCN-rich DNA preference. Key terms: EPOP, MTF2, PRC2, H3K27me3, DNA-sequence specificity.
 Study Highlights:The study used mouse embryonic stem cells with an EED-rescue system and recombinant in vitro assays including HMT assays, EMSA, and ChIP-seq to probe EPOP and MTF2 function. Biochemical HMT assays on oligonucleosomes and dinucleosomes show both EPOP and MTF2 directly stimulate PRC2 catalytic activity, with MTF2 preferentially enhancing activity and binding on GCN-rich linkers and EPOP on GA-rich linkers. ChIP-seq during EED rescue demonstrated that EPOP is dispensable for initial PRC2 recruitment but its knockout reduces de novo H3K27me3 deposition by ~50% and cooperates with MTF2 and JARID2. Together these data indicate linker DNA sequence within nucleation sites guides subcomplex-specific PRC2 binding and catalytic output, influencing spatial establishment of H3K27me3 domains.
 Conclusion:EPOP and MTF2 define distinct PRC2 subcomplexes that stimulate PRC2 catalytic activity in a chromatin-dependent, DNA-sequence-specific manner to direct de novo H3K27me3 deposition.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:EPOP and MTF2 activate PRC2 activity through DNA-sequence specificity
 First author:Granata J
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2527303123
 DOI:10.1073/pnas.2527303123
 Reference:Granata J., Liu S., Popoca L., Oksuz O., Reinberg D. EPOP and MTF2 activate PRC2 activity through DNA-sequence specificity. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2527303123. https://doi.org/10.1073/pnas.2527303123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/epop-mtf2-prc2-sequence
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript segments describing PRC2 function, EPOP/MTF2 cofactors, in vitro histone methyltransferase (HMT) assays, the EED rescue system and de novo recruitment, dinucleosome substrates with GA- and GCN-rich linker DNA, EMSA binding data, and the rheostat model of cofactors shaping genome-wide H3K27me3 pattern- transcript topics: PRC2 function and H3K27me3 deposition; EPOP and MTF2 as PRC2 cofactors; In vitro PRC2 histone methyltransferase assays; EED rescue system and de novo PRC2 recruitment; Dinucleosome substrates with GA- and GCN-rich linker DNA; EMSA nucleosome binding and affinity
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- EPOP and MTF2 stimulate PRC2 histone methyltransferase (HMT) activity in vitro- EPOP is dispensable for de novo PRC2 recruitment; MTF2 is essential for de novo recruitment- EPOP knockout reduces de novo H3K27me3 deposition in vivo by ~5...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[287: EPOP and MTF2 modulate PRC2 H3K27me3 deposition via GA- and GCN-sequence specificity]]>
                </itunes:title>
                                    <itunes:episode>287</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Granata J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2527303123 - In mESCs and defined in vitro assays, EPOP and MTF2 stimulate PRC2 methyltransferase activity and promote de novo H3K27me3 deposition with GA- or GCN-rich DNA preference. Key terms: EPOP, MTF2, PRC2, H3K27me3, DNA-sequence specificity.</p>
<p> Study Highlights:<br />The study used mouse embryonic stem cells with an EED-rescue system and recombinant in vitro assays including HMT assays, EMSA, and ChIP-seq to probe EPOP and MTF2 function. Biochemical HMT assays on oligonucleosomes and dinucleosomes show both EPOP and MTF2 directly stimulate PRC2 catalytic activity, with MTF2 preferentially enhancing activity and binding on GCN-rich linkers and EPOP on GA-rich linkers. ChIP-seq during EED rescue demonstrated that EPOP is dispensable for initial PRC2 recruitment but its knockout reduces de novo H3K27me3 deposition by ~50% and cooperates with MTF2 and JARID2. Together these data indicate linker DNA sequence within nucleation sites guides subcomplex-specific PRC2 binding and catalytic output, influencing spatial establishment of H3K27me3 domains.</p>
<p> Conclusion:<br />EPOP and MTF2 define distinct PRC2 subcomplexes that stimulate PRC2 catalytic activity in a chromatin-dependent, DNA-sequence-specific manner to direct de novo H3K27me3 deposition.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />EPOP and MTF2 activate PRC2 activity through DNA-sequence specificity</p>
<p> First author:<br />Granata J</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2527303123</p>
<p> DOI:<br />10.1073/pnas.2527303123</p>
<p> Reference:<br />Granata J., Liu S., Popoca L., Oksuz O., Reinberg D. EPOP and MTF2 activate PRC2 activity through DNA-sequence specificity. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2527303123. https://doi.org/10.1073/pnas.2527303123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/epop-mtf2-prc2-sequence</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript segments describing PRC2 function, EPOP/MTF2 cofactors, in vitro histone methyltransferase (HMT) assays, the EED rescue system and de novo recruitment, dinucleosome substrates with GA- and GCN-rich linker DNA, EMSA binding data, and the rheostat model of cofactors shaping genome-wide H3K27me3 pattern<br />- transcript topics: PRC2 function and H3K27me3 deposition; EPOP and MTF2 as PRC2 cofactors; In vitro PRC2 histone methyltransferase assays; EED rescue system and de novo PRC2 recruitment; Dinucleosome substrates with GA- and GCN-rich linker DNA; EMSA nucleosome binding and affinity</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- EPOP and MTF2 stimulate PRC2 histone methyltransferase (HMT) activity in vitro<br />- EPOP is dispensable for de novo PRC2 recruitment; MTF2 is essential for de novo recruitment<br />- EPOP knockout reduces de novo H3K27me3 deposition in vivo by ~50%<br />- GA-rich linker DNA favors EPOP; GC-rich (GCN) linker DNA favors MTF2 in dinucleosome contexts<br />- GA- and GCN-dinucleotide results reflect substrate-context (chromatin) specificity, not naked DNA binding<br />- EPOP requires nucleosomal DNA context to exhibit GA preference; naked GA DNA shows no preference</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2358995/c1e-p6xp7cw8znnb4n42o-qd1zn792ukpz-g3nabn.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2358995&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fepop-mtf2-prc2-sequence&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=208ab6a8b87d6d83fdf6a3fb29d99c6a3c5f8cae85e16ce1389558b94cce3527" length="27057069"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Granata J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2527303123 - In mESCs and defined in vitro assays, EPOP and MTF2 stimulate PRC2 methyltransferase activity and promote de novo H3K27me3 deposition with GA- or GCN-rich DNA preference. Key terms: EPOP, MTF2, PRC2, H3K27me3, DNA-sequence specificity.
 Study Highlights:The study used mouse embryonic stem cells with an EED-rescue system and recombinant in vitro assays including HMT assays, EMSA, and ChIP-seq to probe EPOP and MTF2 function. Biochemical HMT assays on oligonucleosomes and dinucleosomes show both EPOP and MTF2 directly stimulate PRC2 catalytic activity, with MTF2 preferentially enhancing activity and binding on GCN-rich linkers and EPOP on GA-rich linkers. ChIP-seq during EED rescue demonstrated that EPOP is dispensable for initial PRC2 recruitment but its knockout reduces de novo H3K27me3 deposition by ~50% and cooperates with MTF2 and JARID2. Together these data indicate linker DNA sequence within nucleation sites guides subcomplex-specific PRC2 binding and catalytic output, influencing spatial establishment of H3K27me3 domains.
 Conclusion:EPOP and MTF2 define distinct PRC2 subcomplexes that stimulate PRC2 catalytic activity in a chromatin-dependent, DNA-sequence-specific manner to direct de novo H3K27me3 deposition.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:EPOP and MTF2 activate PRC2 activity through DNA-sequence specificity
 First author:Granata J
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2527303123
 DOI:10.1073/pnas.2527303123
 Reference:Granata J., Liu S., Popoca L., Oksuz O., Reinberg D. EPOP and MTF2 activate PRC2 activity through DNA-sequence specificity. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2527303123. https://doi.org/10.1073/pnas.2527303123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/epop-mtf2-prc2-sequence
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript segments describing PRC2 function, EPOP/MTF2 cofactors, in vitro histone methyltransferase (HMT) assays, the EED rescue system and de novo recruitment, dinucleosome substrates with GA- and GCN-rich linker DNA, EMSA binding data, and the rheostat model of cofactors shaping genome-wide H3K27me3 pattern- transcript topics: PRC2 function and H3K27me3 deposition; EPOP and MTF2 as PRC2 cofactors; In vitro PRC2 histone methyltransferase assays; EED rescue system and de novo PRC2 recruitment; Dinucleosome substrates with GA- and GCN-rich linker DNA; EMSA nucleosome binding and affinity
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- EPOP and MTF2 stimulate PRC2 histone methyltransferase (HMT) activity in vitro- EPOP is dispensable for de novo PRC2 recruitment; MTF2 is essential for de novo recruitment- EPOP knockout reduces de novo H3K27me3 deposition in vivo by ~5...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2358995/c1a-p6xp7-4741553oc79-tovkuz.png"></itunes:image>
                                                                            <itunes:duration>00:18:47</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[286: Deep mutational scanning of Nipah virus fusion protein F reveals functional and antigenic constraints]]>
                </title>
                <pubDate>Tue, 10 Feb 2026 09:03:20 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2355066</guid>
                                    <link>https://basebybase.castos.com/episodes/nipah-f-deep-mutational-map</link>
                                <description>
                                            <![CDATA[<p>Larsen BB et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2529505123 - Deep mutational scanning of the Nipah virus fusion protein F using pseudoviruses maps ~8,500 single-residue effects, showing F is highly constrained and identifying antibody-escape mutations. Key terms: Nipah virus, fusion protein F, deep mutational scanning, pseudovirus, antibody neutralization.</p>
<p> Study Highlights:<br />Using nonreplicative lentiviral pseudoviruses and deep mutational scanning, the authors measured the effects of 8,449 single amino-acid mutations to the Nipah virus F ectodomain on cell entry in CHO cells expressing bat ephrin-B3. Measurements were fit with global epistasis models and mapped onto prefusion and postfusion structures, revealing the fusion peptide, lateral surface patches, and hexameric-interface residues are highly constrained. The library was screened against six monoclonal antibodies, quantifying mutation-mediated decreases in neutralization and showing distinct resilience among antibodies; specific Hendra F residues (Q70K, R336K) explained loss or reduction of neutralization by 4H3 and 1A9. The data nominate candidate proline substitutions and other sites for prefusion stabilization and inform vaccine and therapeutic antibody selection.</p>
<p> Conclusion:<br />Nipah virus F is highly functionally constrained relative to RBP with specific surface-exposed and core residues critical for cell entry, and antibody neutralization varies by epitope, informing prefusion-stabilized immunogen and therapeutic antibody design.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Functional and antigenic constraints on the Nipah virus fusion protein</p>
<p> First author:<br />Larsen BB</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2529505123</p>
<p> DOI:<br />10.1073/pnas.2529505123</p>
<p> Reference:<br />Larsen BB, Harari S, Gen R, Stewart C, Veesler D, Bloom JD. Functional and antigenic constraints on the Nipah virus fusion protein. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2529505123. https://doi.org/10.1073/pnas.2529505123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nipah-f-deep-mutational-map</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content presented in the transcript, focusing on Nipah virus F deep mutational scanning, functional/antigenic constraints, structural interpretation, stabilizing mutations, antibody resilience, and translational implications.<br />- transcript topics: Nipah virus F structure and function; Deep mutational scanning methodology; Pseudovirus system with bat ephrin receptors; Mutational constraint landscape of Nipah F; Fusion peptide and hexamer interface regions; Prefusion stabilization via proline mutations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Nipah F is highly constrained; mutations mostly impair function<br />- Deep mutational scanning...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Larsen BB et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2529505123 - Deep mutational scanning of the Nipah virus fusion protein F using pseudoviruses maps ~8,500 single-residue effects, showing F is highly constrained and identifying antibody-escape mutations. Key terms: Nipah virus, fusion protein F, deep mutational scanning, pseudovirus, antibody neutralization.
 Study Highlights:Using nonreplicative lentiviral pseudoviruses and deep mutational scanning, the authors measured the effects of 8,449 single amino-acid mutations to the Nipah virus F ectodomain on cell entry in CHO cells expressing bat ephrin-B3. Measurements were fit with global epistasis models and mapped onto prefusion and postfusion structures, revealing the fusion peptide, lateral surface patches, and hexameric-interface residues are highly constrained. The library was screened against six monoclonal antibodies, quantifying mutation-mediated decreases in neutralization and showing distinct resilience among antibodies; specific Hendra F residues (Q70K, R336K) explained loss or reduction of neutralization by 4H3 and 1A9. The data nominate candidate proline substitutions and other sites for prefusion stabilization and inform vaccine and therapeutic antibody selection.
 Conclusion:Nipah virus F is highly functionally constrained relative to RBP with specific surface-exposed and core residues critical for cell entry, and antibody neutralization varies by epitope, informing prefusion-stabilized immunogen and therapeutic antibody design.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Functional and antigenic constraints on the Nipah virus fusion protein
 First author:Larsen BB
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2529505123
 DOI:10.1073/pnas.2529505123
 Reference:Larsen BB, Harari S, Gen R, Stewart C, Veesler D, Bloom JD. Functional and antigenic constraints on the Nipah virus fusion protein. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2529505123. https://doi.org/10.1073/pnas.2529505123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nipah-f-deep-mutational-map
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content presented in the transcript, focusing on Nipah virus F deep mutational scanning, functional/antigenic constraints, structural interpretation, stabilizing mutations, antibody resilience, and translational implications.- transcript topics: Nipah virus F structure and function; Deep mutational scanning methodology; Pseudovirus system with bat ephrin receptors; Mutational constraint landscape of Nipah F; Fusion peptide and hexamer interface regions; Prefusion stabilization via proline mutations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Nipah F is highly constrained; mutations mostly impair function- Deep mutational scanning...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[286: Deep mutational scanning of Nipah virus fusion protein F reveals functional and antigenic constraints]]>
                </itunes:title>
                                    <itunes:episode>286</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Larsen BB et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2529505123 - Deep mutational scanning of the Nipah virus fusion protein F using pseudoviruses maps ~8,500 single-residue effects, showing F is highly constrained and identifying antibody-escape mutations. Key terms: Nipah virus, fusion protein F, deep mutational scanning, pseudovirus, antibody neutralization.</p>
<p> Study Highlights:<br />Using nonreplicative lentiviral pseudoviruses and deep mutational scanning, the authors measured the effects of 8,449 single amino-acid mutations to the Nipah virus F ectodomain on cell entry in CHO cells expressing bat ephrin-B3. Measurements were fit with global epistasis models and mapped onto prefusion and postfusion structures, revealing the fusion peptide, lateral surface patches, and hexameric-interface residues are highly constrained. The library was screened against six monoclonal antibodies, quantifying mutation-mediated decreases in neutralization and showing distinct resilience among antibodies; specific Hendra F residues (Q70K, R336K) explained loss or reduction of neutralization by 4H3 and 1A9. The data nominate candidate proline substitutions and other sites for prefusion stabilization and inform vaccine and therapeutic antibody selection.</p>
<p> Conclusion:<br />Nipah virus F is highly functionally constrained relative to RBP with specific surface-exposed and core residues critical for cell entry, and antibody neutralization varies by epitope, informing prefusion-stabilized immunogen and therapeutic antibody design.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Functional and antigenic constraints on the Nipah virus fusion protein</p>
<p> First author:<br />Larsen BB</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2529505123</p>
<p> DOI:<br />10.1073/pnas.2529505123</p>
<p> Reference:<br />Larsen BB, Harari S, Gen R, Stewart C, Veesler D, Bloom JD. Functional and antigenic constraints on the Nipah virus fusion protein. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2529505123. https://doi.org/10.1073/pnas.2529505123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nipah-f-deep-mutational-map</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content presented in the transcript, focusing on Nipah virus F deep mutational scanning, functional/antigenic constraints, structural interpretation, stabilizing mutations, antibody resilience, and translational implications.<br />- transcript topics: Nipah virus F structure and function; Deep mutational scanning methodology; Pseudovirus system with bat ephrin receptors; Mutational constraint landscape of Nipah F; Fusion peptide and hexamer interface regions; Prefusion stabilization via proline mutations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Nipah F is highly constrained; mutations mostly impair function<br />- Deep mutational scanning tested 8,449 single amino acid mutations (~98.2% coverage)<br />- F is more functionally constrained than RBP (RBP more mutationally tolerant)<br />- Fusion peptide and lateral surface/hexamer interfaces are highly constrained<br />- Proline substitutions can stabilize prefusion F (candidate stabilizing mutations identified)<br />- Monoclonal antibodies show varying resilience to F mutations; 1F2 and 2D3 retain neutralization more broadly</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Larsen BB et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2529505123 - Deep mutational scanning of the Nipah virus fusion protein F using pseudoviruses maps ~8,500 single-residue effects, showing F is highly constrained and identifying antibody-escape mutations. Key terms: Nipah virus, fusion protein F, deep mutational scanning, pseudovirus, antibody neutralization.
 Study Highlights:Using nonreplicative lentiviral pseudoviruses and deep mutational scanning, the authors measured the effects of 8,449 single amino-acid mutations to the Nipah virus F ectodomain on cell entry in CHO cells expressing bat ephrin-B3. Measurements were fit with global epistasis models and mapped onto prefusion and postfusion structures, revealing the fusion peptide, lateral surface patches, and hexameric-interface residues are highly constrained. The library was screened against six monoclonal antibodies, quantifying mutation-mediated decreases in neutralization and showing distinct resilience among antibodies; specific Hendra F residues (Q70K, R336K) explained loss or reduction of neutralization by 4H3 and 1A9. The data nominate candidate proline substitutions and other sites for prefusion stabilization and inform vaccine and therapeutic antibody selection.
 Conclusion:Nipah virus F is highly functionally constrained relative to RBP with specific surface-exposed and core residues critical for cell entry, and antibody neutralization varies by epitope, informing prefusion-stabilized immunogen and therapeutic antibody design.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Functional and antigenic constraints on the Nipah virus fusion protein
 First author:Larsen BB
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2529505123
 DOI:10.1073/pnas.2529505123
 Reference:Larsen BB, Harari S, Gen R, Stewart C, Veesler D, Bloom JD. Functional and antigenic constraints on the Nipah virus fusion protein. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2529505123. https://doi.org/10.1073/pnas.2529505123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nipah-f-deep-mutational-map
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content presented in the transcript, focusing on Nipah virus F deep mutational scanning, functional/antigenic constraints, structural interpretation, stabilizing mutations, antibody resilience, and translational implications.- transcript topics: Nipah virus F structure and function; Deep mutational scanning methodology; Pseudovirus system with bat ephrin receptors; Mutational constraint landscape of Nipah F; Fusion peptide and hexamer interface regions; Prefusion stabilization via proline mutations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Nipah F is highly constrained; mutations mostly impair function- Deep mutational scanning...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2355066/c1a-p6xp7-gpjk887kuv0k-l2trwl.png"></itunes:image>
                                                                            <itunes:duration>00:19:48</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[285: ESBX (Tb927.3.1660) integrates ESB RNA Pol I localization with BES activation and VSG repression in Trypanosoma brucei]]>
                </title>
                <pubDate>Mon, 09 Feb 2026 05:19:48 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2353015</guid>
                                    <link>https://basebybase.castos.com/episodes/esbx-esb-vsg-regulation</link>
                                <description>
                                            <![CDATA[<p>Berazategui MA et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123 - ESBX (Tb927.3.1660) links RNA Pol I localization at the ESB to activation of the active BES and repression of inactive BESs in Trypanosoma brucei, supporting monoallelic VSG expression. Key terms: Trypanosoma brucei, ESBX (Tb927.3.1660), expression site body, variant surface glycoprotein, RNA polymerase I.</p>
<p> Study Highlights:<br />Using ESB1-guided proximity-dependent biotinylation proteomics, endogenous tagging and high-resolution fluorescence microscopy, RNAi knockdown, RNA-seq, and inducible overexpression in bloodstream-form Trypanosoma brucei, the authors identify Tb927.3.1660 (ESBX) as an ESB-specific protein. ESBX localizes adjacent to Pol I (RPA2) and ESB1 within the ESB with measured center separations of ~68–175 nm and contains predicted SUMO-interacting and BRCT domains. ESBX depletion causes loss of the extranucleolar Pol I ESB focus, reduced processive transcription from the active BES with larger decreases distal to the promoter, and derepression of inactive BESs with low-processivity transcripts, whereas ESBX overexpression weakly activates inactive BESs with processive transcription without forming extra ESBs. Together the data indicate ESBX integrates activation of the active BES with repression of inactive BESs, a mechanism that supports monoallelic VSG expression.</p>
<p> Conclusion:<br />Tb927.3.1660/ESBX is an ESB component required to integrate activation of the active BES with repression of inactive BESs, thereby supporting monoallelic VSG expression in bloodstream-form Trypanosoma brucei.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A factor integrating transcription and repression of surface antigen genes in African trypanosomes</p>
<p> First author:<br />Berazategui MA</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123</p>
<p> DOI:<br />10.1073/pnas.2531377123</p>
<p> Reference:<br />Berazategui MA, Wheeler RJ, Tiengwe C, Lansink LIM, Rudenko G, Sunter JD, Goodwin I, Gull K, Faria JRC, et al. A factor integrating transcription and repression of surface antigen genes in African trypanosomes. Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123. https://doi.org/10.1073/pnas.2531377123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/esbx-esb-vsg-regulation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections cover ESBX identification, ESB localization, functional knockdown and overexpression phenotypes, BRCT domain/phase separation discussion, transcriptional state model, and broader implications; not audited are full experimental methods or supplementary data in detail.<br />- transcript topics: ESBX identification by proximity labeling and transcriptomics; ESBX localization to ESB near Pol I, ESB1, VEX2; ESBX depletion effects: growth arrest, ESB disassembly, active BES down, inactive BES derepression; ESBX overexpression effects: activation of inactive BESs, no extra ESBs; BRCT domains and phase separation notion for ESBX; Transcriptional state model: FE state, trickle state, enhanced trickle (ET)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Berazategui MA et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123 - ESBX (Tb927.3.1660) links RNA Pol I localization at the ESB to activation of the active BES and repression of inactive BESs in Trypanosoma brucei, supporting monoallelic VSG expression. Key terms: Trypanosoma brucei, ESBX (Tb927.3.1660), expression site body, variant surface glycoprotein, RNA polymerase I.
 Study Highlights:Using ESB1-guided proximity-dependent biotinylation proteomics, endogenous tagging and high-resolution fluorescence microscopy, RNAi knockdown, RNA-seq, and inducible overexpression in bloodstream-form Trypanosoma brucei, the authors identify Tb927.3.1660 (ESBX) as an ESB-specific protein. ESBX localizes adjacent to Pol I (RPA2) and ESB1 within the ESB with measured center separations of ~68–175 nm and contains predicted SUMO-interacting and BRCT domains. ESBX depletion causes loss of the extranucleolar Pol I ESB focus, reduced processive transcription from the active BES with larger decreases distal to the promoter, and derepression of inactive BESs with low-processivity transcripts, whereas ESBX overexpression weakly activates inactive BESs with processive transcription without forming extra ESBs. Together the data indicate ESBX integrates activation of the active BES with repression of inactive BESs, a mechanism that supports monoallelic VSG expression.
 Conclusion:Tb927.3.1660/ESBX is an ESB component required to integrate activation of the active BES with repression of inactive BESs, thereby supporting monoallelic VSG expression in bloodstream-form Trypanosoma brucei.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A factor integrating transcription and repression of surface antigen genes in African trypanosomes
 First author:Berazategui MA
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123
 DOI:10.1073/pnas.2531377123
 Reference:Berazategui MA, Wheeler RJ, Tiengwe C, Lansink LIM, Rudenko G, Sunter JD, Goodwin I, Gull K, Faria JRC, et al. A factor integrating transcription and repression of surface antigen genes in African trypanosomes. Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123. https://doi.org/10.1073/pnas.2531377123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/esbx-esb-vsg-regulation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections cover ESBX identification, ESB localization, functional knockdown and overexpression phenotypes, BRCT domain/phase separation discussion, transcriptional state model, and broader implications; not audited are full experimental methods or supplementary data in detail.- transcript topics: ESBX identification by proximity labeling and transcriptomics; ESBX localization to ESB near Pol I, ESB1, VEX2; ESBX depletion effects: growth arrest, ESB disassembly, active BES down, inactive BES derepression; ESBX overexpression effects: activation of inactive BESs, no extra ESBs; BRCT domains and phase separation notion for ESBX; Transcriptional state model: FE state, trickle state, enhanced trickle (ET)
QC Summary:- factual score: 10/10- metadata score: 10/10]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[285: ESBX (Tb927.3.1660) integrates ESB RNA Pol I localization with BES activation and VSG repression in Trypanosoma brucei]]>
                </itunes:title>
                                    <itunes:episode>285</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Berazategui MA et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123 - ESBX (Tb927.3.1660) links RNA Pol I localization at the ESB to activation of the active BES and repression of inactive BESs in Trypanosoma brucei, supporting monoallelic VSG expression. Key terms: Trypanosoma brucei, ESBX (Tb927.3.1660), expression site body, variant surface glycoprotein, RNA polymerase I.</p>
<p> Study Highlights:<br />Using ESB1-guided proximity-dependent biotinylation proteomics, endogenous tagging and high-resolution fluorescence microscopy, RNAi knockdown, RNA-seq, and inducible overexpression in bloodstream-form Trypanosoma brucei, the authors identify Tb927.3.1660 (ESBX) as an ESB-specific protein. ESBX localizes adjacent to Pol I (RPA2) and ESB1 within the ESB with measured center separations of ~68–175 nm and contains predicted SUMO-interacting and BRCT domains. ESBX depletion causes loss of the extranucleolar Pol I ESB focus, reduced processive transcription from the active BES with larger decreases distal to the promoter, and derepression of inactive BESs with low-processivity transcripts, whereas ESBX overexpression weakly activates inactive BESs with processive transcription without forming extra ESBs. Together the data indicate ESBX integrates activation of the active BES with repression of inactive BESs, a mechanism that supports monoallelic VSG expression.</p>
<p> Conclusion:<br />Tb927.3.1660/ESBX is an ESB component required to integrate activation of the active BES with repression of inactive BESs, thereby supporting monoallelic VSG expression in bloodstream-form Trypanosoma brucei.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A factor integrating transcription and repression of surface antigen genes in African trypanosomes</p>
<p> First author:<br />Berazategui MA</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123</p>
<p> DOI:<br />10.1073/pnas.2531377123</p>
<p> Reference:<br />Berazategui MA, Wheeler RJ, Tiengwe C, Lansink LIM, Rudenko G, Sunter JD, Goodwin I, Gull K, Faria JRC, et al. A factor integrating transcription and repression of surface antigen genes in African trypanosomes. Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123. https://doi.org/10.1073/pnas.2531377123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/esbx-esb-vsg-regulation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections cover ESBX identification, ESB localization, functional knockdown and overexpression phenotypes, BRCT domain/phase separation discussion, transcriptional state model, and broader implications; not audited are full experimental methods or supplementary data in detail.<br />- transcript topics: ESBX identification by proximity labeling and transcriptomics; ESBX localization to ESB near Pol I, ESB1, VEX2; ESBX depletion effects: growth arrest, ESB disassembly, active BES down, inactive BES derepression; ESBX overexpression effects: activation of inactive BESs, no extra ESBs; BRCT domains and phase separation notion for ESBX; Transcriptional state model: FE state, trickle state, enhanced trickle (ET)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ESBX is Tb927.3.1660 and functions as an ESB component<br />- ESBX links transcriptional activation of the active BES with repression of inactive BESs<br />- ESBX depletion leads to ESB disassembly and loss of RNA Pol I at the ESB<br />- Inactive BES transcripts are derepressed upon ESBX depletion<br />- ESBX overexpression activates inactive BESs with processive transcription without forming extra ESBs<br />- ESBX is likely upstream of ESB1 and influences VEX2/ VEX-mediated exclusion</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Berazategui MA et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123 - ESBX (Tb927.3.1660) links RNA Pol I localization at the ESB to activation of the active BES and repression of inactive BESs in Trypanosoma brucei, supporting monoallelic VSG expression. Key terms: Trypanosoma brucei, ESBX (Tb927.3.1660), expression site body, variant surface glycoprotein, RNA polymerase I.
 Study Highlights:Using ESB1-guided proximity-dependent biotinylation proteomics, endogenous tagging and high-resolution fluorescence microscopy, RNAi knockdown, RNA-seq, and inducible overexpression in bloodstream-form Trypanosoma brucei, the authors identify Tb927.3.1660 (ESBX) as an ESB-specific protein. ESBX localizes adjacent to Pol I (RPA2) and ESB1 within the ESB with measured center separations of ~68–175 nm and contains predicted SUMO-interacting and BRCT domains. ESBX depletion causes loss of the extranucleolar Pol I ESB focus, reduced processive transcription from the active BES with larger decreases distal to the promoter, and derepression of inactive BESs with low-processivity transcripts, whereas ESBX overexpression weakly activates inactive BESs with processive transcription without forming extra ESBs. Together the data indicate ESBX integrates activation of the active BES with repression of inactive BESs, a mechanism that supports monoallelic VSG expression.
 Conclusion:Tb927.3.1660/ESBX is an ESB component required to integrate activation of the active BES with repression of inactive BESs, thereby supporting monoallelic VSG expression in bloodstream-form Trypanosoma brucei.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A factor integrating transcription and repression of surface antigen genes in African trypanosomes
 First author:Berazategui MA
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123
 DOI:10.1073/pnas.2531377123
 Reference:Berazategui MA, Wheeler RJ, Tiengwe C, Lansink LIM, Rudenko G, Sunter JD, Goodwin I, Gull K, Faria JRC, et al. A factor integrating transcription and repression of surface antigen genes in African trypanosomes. Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2531377123. https://doi.org/10.1073/pnas.2531377123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/esbx-esb-vsg-regulation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections cover ESBX identification, ESB localization, functional knockdown and overexpression phenotypes, BRCT domain/phase separation discussion, transcriptional state model, and broader implications; not audited are full experimental methods or supplementary data in detail.- transcript topics: ESBX identification by proximity labeling and transcriptomics; ESBX localization to ESB near Pol I, ESB1, VEX2; ESBX depletion effects: growth arrest, ESB disassembly, active BES down, inactive BES derepression; ESBX overexpression effects: activation of inactive BESs, no extra ESBs; BRCT domains and phase separation notion for ESBX; Transcriptional state model: FE state, trickle state, enhanced trickle (ET)
QC Summary:- factual score: 10/10- metadata score: 10/10]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2353015/c1a-p6xp7-gpjk880oanro-54fr9l.png"></itunes:image>
                                                                            <itunes:duration>00:19:39</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[284: FES, VSMC behavior and pleiotropic vascular genes identified by integrative functional genomics]]>
                </title>
                <pubDate>Sun, 08 Feb 2026 09:29:57 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2352412</guid>
                                    <link>https://basebybase.castos.com/episodes/fes-vsmc-pleiotropic-genes</link>
                                <description>
                                            <![CDATA[<p>Solomon CU et al., Nat Commun(2026). - Integrative analysis in human VSMCs identifies pleiotropic genes including FES that regulate vascular remodeling; pooled CRISPR and mouse knockout show FES loss increases MMPs, atherosclerosis and blood pressure. Key terms: FES, vascular smooth muscle cell, atherosclerosis, colocalization eQTL, CRISPR knockout screen.</p>
<p> Study Highlights:<br />The study used a large human umbilical cord‑derived VSMC eQTL bank (n=1,486) combined with colocalization (eCAVIAR, SMR/HEIDI), ATAC‑seq, DNA methylation, H3K27ac HiChIP and pooled CRISPR‑Cas9 knockout screens to nominate likely causal genes for CAD, hypertension, stroke and AAA. Pooled CRISPR screens and siRNA validation in VSMCs highlighted BCAR1, CARF, SMARCA4 and FES as modulators of VSMC proliferation or migration, while FES knockdown increased MMP1/MMP3, reduced contractile markers and promoted migration by RNA‑seq and proteomics/phosphoproteomics. In vivo, Fes‑/-/Apoe‑/- mice had larger en face aortic lesion areas (8.34±2.54% vs 6.06±2.35%, P=0.013) and higher baseline systolic/diastolic blood pressure (104.4±6.7 vs 88.0±10.1 mmHg and 74.9±9.0 vs 58.8±8.9 mmHg, P=0.042). These results support FES as a pleiotropic, potentially druggable regulator of VSMC phenotype with functional effects on atherosclerosis and blood pressure.</p>
<p> Conclusion:<br />Integrative functional genomics implicates panels of likely causal and pleiotropic genes, including FES, that regulate VSMC behavior and whose loss promotes VSMC dedifferentiation, increased MMP production, larger atherosclerotic lesions and higher blood pressure.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Integrative functional genomics analysis identifies pleiotropic genes for vascular diseases</p>
<p> First author:<br />Solomon CU</p>
<p> Journal:<br />Nat Commun(2026).</p>
<p> DOI:<br />10.1038/s41467-026-69273-8</p>
<p> Reference:<br />Solomon CU, McVey DG, Andreadi C, Peng G, Turner L, Song DSS, Zhang H, Lee DP, Karamanavi E, Yang W, Chu J, Chen R, Haworth KE, Anene-Nzelu CG, Li H, Denniff MJ, Li PY, Zhang Y, Huang X, Morris GE, Greer PA, Stringer EJ, Yu H, Foo RSY, Douglas G, Samani NJ, Webb TR, Ye S. Integrative functional genomics analysis identifies pleiotropic genes for vascular diseases. Nat Commun (2026). https://doi.org/10.1038/s41467-026-69273-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/fes-vsmc-pleiotropic-genes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive portions of the transcript describing FES as a pleiotropic regulator of vascular disease, VSMC phenotypic switching, CRISPR knockouts, mouse model results, UK Biobank human genetics, and therapeutic implications.<br />- transcript topics: Pleiotropy across vascular diseases; FES as a master regulator in vascular smooth muscle cells (VSMCs); VSMC phenotypic switching, migration, and MMP production; Pooled CRISPR-Cas9 knockout screens and validation; Mouse model: Fes knockout and atherosclerosis/blood pressure; UK Biobank human genetics for FES variants</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Solomon CU et al., Nat Commun(2026). - Integrative analysis in human VSMCs identifies pleiotropic genes including FES that regulate vascular remodeling; pooled CRISPR and mouse knockout show FES loss increases MMPs, atherosclerosis and blood pressure. Key terms: FES, vascular smooth muscle cell, atherosclerosis, colocalization eQTL, CRISPR knockout screen.
 Study Highlights:The study used a large human umbilical cord‑derived VSMC eQTL bank (n=1,486) combined with colocalization (eCAVIAR, SMR/HEIDI), ATAC‑seq, DNA methylation, H3K27ac HiChIP and pooled CRISPR‑Cas9 knockout screens to nominate likely causal genes for CAD, hypertension, stroke and AAA. Pooled CRISPR screens and siRNA validation in VSMCs highlighted BCAR1, CARF, SMARCA4 and FES as modulators of VSMC proliferation or migration, while FES knockdown increased MMP1/MMP3, reduced contractile markers and promoted migration by RNA‑seq and proteomics/phosphoproteomics. In vivo, Fes‑/-/Apoe‑/- mice had larger en face aortic lesion areas (8.34±2.54% vs 6.06±2.35%, P=0.013) and higher baseline systolic/diastolic blood pressure (104.4±6.7 vs 88.0±10.1 mmHg and 74.9±9.0 vs 58.8±8.9 mmHg, P=0.042). These results support FES as a pleiotropic, potentially druggable regulator of VSMC phenotype with functional effects on atherosclerosis and blood pressure.
 Conclusion:Integrative functional genomics implicates panels of likely causal and pleiotropic genes, including FES, that regulate VSMC behavior and whose loss promotes VSMC dedifferentiation, increased MMP production, larger atherosclerotic lesions and higher blood pressure.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Integrative functional genomics analysis identifies pleiotropic genes for vascular diseases
 First author:Solomon CU
 Journal:Nat Commun(2026).
 DOI:10.1038/s41467-026-69273-8
 Reference:Solomon CU, McVey DG, Andreadi C, Peng G, Turner L, Song DSS, Zhang H, Lee DP, Karamanavi E, Yang W, Chu J, Chen R, Haworth KE, Anene-Nzelu CG, Li H, Denniff MJ, Li PY, Zhang Y, Huang X, Morris GE, Greer PA, Stringer EJ, Yu H, Foo RSY, Douglas G, Samani NJ, Webb TR, Ye S. Integrative functional genomics analysis identifies pleiotropic genes for vascular diseases. Nat Commun (2026). https://doi.org/10.1038/s41467-026-69273-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/fes-vsmc-pleiotropic-genes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive portions of the transcript describing FES as a pleiotropic regulator of vascular disease, VSMC phenotypic switching, CRISPR knockouts, mouse model results, UK Biobank human genetics, and therapeutic implications.- transcript topics: Pleiotropy across vascular diseases; FES as a master regulator in vascular smooth muscle cells (VSMCs); VSMC phenotypic switching, migration, and MMP production; Pooled CRISPR-Cas9 knockout screens and validation; Mouse model: Fes knockout and atherosclerosis/blood pressure; UK Biobank human genetics for FES variants
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[284: FES, VSMC behavior and pleiotropic vascular genes identified by integrative functional genomics]]>
                </itunes:title>
                                    <itunes:episode>284</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Solomon CU et al., Nat Commun(2026). - Integrative analysis in human VSMCs identifies pleiotropic genes including FES that regulate vascular remodeling; pooled CRISPR and mouse knockout show FES loss increases MMPs, atherosclerosis and blood pressure. Key terms: FES, vascular smooth muscle cell, atherosclerosis, colocalization eQTL, CRISPR knockout screen.</p>
<p> Study Highlights:<br />The study used a large human umbilical cord‑derived VSMC eQTL bank (n=1,486) combined with colocalization (eCAVIAR, SMR/HEIDI), ATAC‑seq, DNA methylation, H3K27ac HiChIP and pooled CRISPR‑Cas9 knockout screens to nominate likely causal genes for CAD, hypertension, stroke and AAA. Pooled CRISPR screens and siRNA validation in VSMCs highlighted BCAR1, CARF, SMARCA4 and FES as modulators of VSMC proliferation or migration, while FES knockdown increased MMP1/MMP3, reduced contractile markers and promoted migration by RNA‑seq and proteomics/phosphoproteomics. In vivo, Fes‑/-/Apoe‑/- mice had larger en face aortic lesion areas (8.34±2.54% vs 6.06±2.35%, P=0.013) and higher baseline systolic/diastolic blood pressure (104.4±6.7 vs 88.0±10.1 mmHg and 74.9±9.0 vs 58.8±8.9 mmHg, P=0.042). These results support FES as a pleiotropic, potentially druggable regulator of VSMC phenotype with functional effects on atherosclerosis and blood pressure.</p>
<p> Conclusion:<br />Integrative functional genomics implicates panels of likely causal and pleiotropic genes, including FES, that regulate VSMC behavior and whose loss promotes VSMC dedifferentiation, increased MMP production, larger atherosclerotic lesions and higher blood pressure.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Integrative functional genomics analysis identifies pleiotropic genes for vascular diseases</p>
<p> First author:<br />Solomon CU</p>
<p> Journal:<br />Nat Commun(2026).</p>
<p> DOI:<br />10.1038/s41467-026-69273-8</p>
<p> Reference:<br />Solomon CU, McVey DG, Andreadi C, Peng G, Turner L, Song DSS, Zhang H, Lee DP, Karamanavi E, Yang W, Chu J, Chen R, Haworth KE, Anene-Nzelu CG, Li H, Denniff MJ, Li PY, Zhang Y, Huang X, Morris GE, Greer PA, Stringer EJ, Yu H, Foo RSY, Douglas G, Samani NJ, Webb TR, Ye S. Integrative functional genomics analysis identifies pleiotropic genes for vascular diseases. Nat Commun (2026). https://doi.org/10.1038/s41467-026-69273-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/fes-vsmc-pleiotropic-genes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive portions of the transcript describing FES as a pleiotropic regulator of vascular disease, VSMC phenotypic switching, CRISPR knockouts, mouse model results, UK Biobank human genetics, and therapeutic implications.<br />- transcript topics: Pleiotropy across vascular diseases; FES as a master regulator in vascular smooth muscle cells (VSMCs); VSMC phenotypic switching, migration, and MMP production; Pooled CRISPR-Cas9 knockout screens and validation; Mouse model: Fes knockout and atherosclerosis/blood pressure; UK Biobank human genetics for FES variants</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- FES is identified as a pleiotropic gene affecting more than one vascular disease (CAD and hypertension).<br />- FES knockdown in vascular smooth muscle cells increases migration and production of matrix metalloproteinases (MMPs) and decreases contractile markers.<br />- Fes knockout mice on a high-fat diet show larger atherosclerotic lesions and elevated baseline blood pressure, with impaired vasodilation responses.<br />- UK Biobank data show deleterious FES variants associate with higher blood pressure and increased risks of hypertension and myocardial infarction.<br />- A set of pleiotropic genes (including FES) was identified; several are druggable and might be targeted to affect multiple vascular diseases.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2352412/c1e-j63m1c402m2a0o0x1-1pr1gv98hgpr-amqxjp.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2352412&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Ffes-vsmc-pleiotropic-genes&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=350e43a32973fccc48792f72ce84eadee96ea49454604d502f3fee5c1cdd201d" length="25472493"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Solomon CU et al., Nat Commun(2026). - Integrative analysis in human VSMCs identifies pleiotropic genes including FES that regulate vascular remodeling; pooled CRISPR and mouse knockout show FES loss increases MMPs, atherosclerosis and blood pressure. Key terms: FES, vascular smooth muscle cell, atherosclerosis, colocalization eQTL, CRISPR knockout screen.
 Study Highlights:The study used a large human umbilical cord‑derived VSMC eQTL bank (n=1,486) combined with colocalization (eCAVIAR, SMR/HEIDI), ATAC‑seq, DNA methylation, H3K27ac HiChIP and pooled CRISPR‑Cas9 knockout screens to nominate likely causal genes for CAD, hypertension, stroke and AAA. Pooled CRISPR screens and siRNA validation in VSMCs highlighted BCAR1, CARF, SMARCA4 and FES as modulators of VSMC proliferation or migration, while FES knockdown increased MMP1/MMP3, reduced contractile markers and promoted migration by RNA‑seq and proteomics/phosphoproteomics. In vivo, Fes‑/-/Apoe‑/- mice had larger en face aortic lesion areas (8.34±2.54% vs 6.06±2.35%, P=0.013) and higher baseline systolic/diastolic blood pressure (104.4±6.7 vs 88.0±10.1 mmHg and 74.9±9.0 vs 58.8±8.9 mmHg, P=0.042). These results support FES as a pleiotropic, potentially druggable regulator of VSMC phenotype with functional effects on atherosclerosis and blood pressure.
 Conclusion:Integrative functional genomics implicates panels of likely causal and pleiotropic genes, including FES, that regulate VSMC behavior and whose loss promotes VSMC dedifferentiation, increased MMP production, larger atherosclerotic lesions and higher blood pressure.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Integrative functional genomics analysis identifies pleiotropic genes for vascular diseases
 First author:Solomon CU
 Journal:Nat Commun(2026).
 DOI:10.1038/s41467-026-69273-8
 Reference:Solomon CU, McVey DG, Andreadi C, Peng G, Turner L, Song DSS, Zhang H, Lee DP, Karamanavi E, Yang W, Chu J, Chen R, Haworth KE, Anene-Nzelu CG, Li H, Denniff MJ, Li PY, Zhang Y, Huang X, Morris GE, Greer PA, Stringer EJ, Yu H, Foo RSY, Douglas G, Samani NJ, Webb TR, Ye S. Integrative functional genomics analysis identifies pleiotropic genes for vascular diseases. Nat Commun (2026). https://doi.org/10.1038/s41467-026-69273-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/fes-vsmc-pleiotropic-genes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive portions of the transcript describing FES as a pleiotropic regulator of vascular disease, VSMC phenotypic switching, CRISPR knockouts, mouse model results, UK Biobank human genetics, and therapeutic implications.- transcript topics: Pleiotropy across vascular diseases; FES as a master regulator in vascular smooth muscle cells (VSMCs); VSMC phenotypic switching, migration, and MMP production; Pooled CRISPR-Cas9 knockout screens and validation; Mouse model: Fes knockout and atherosclerosis/blood pressure; UK Biobank human genetics for FES variants
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2352412/c1a-p6xp7-6z8w224ja1x1-mu1che.png"></itunes:image>
                                                                            <itunes:duration>00:17:41</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[283: Confidence in genetic knowledge drives Familiarity, Knowledge, and Skills in US GALS samples]]>
                </title>
                <pubDate>Sat, 07 Feb 2026 06:17:52 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2351646</guid>
                                    <link>https://basebybase.castos.com/episodes/genetic-literacy-confidence-gals-1</link>
                                <description>
                                            <![CDATA[<p>Ramírez Renta GM et al., The American Journal of Human Genetics, 113 (2026) 16-28. doi:10.1016/j.ajhg.2025.11.014 - GALS survey of &gt;4,000 US respondents (GenPop and SPARK) shows confidence in genetic knowledge predicts Familiarity, Knowledge, and Skills, explaining ~25% of variance. Key terms: genetic literacy, confidence in knowledge, GALS, SPARK, science communication.</p>
<p> Study Highlights:<br />Using the Genetic and Autism Literacy Survey (GALS) in two US samples (GenPop and SPARK; n&gt;4,000), the authors measured three genetic literacy components: Familiarity, Knowledge, and Skills via subjective familiarity ratings, objective true/false items, and a comprehension task. They modeled associations between these subscales and identity/belief measures including perceived importance, confidence, religiosity, religious affiliation, and political belief using linear regression adjusted for education and population. Confidence in one’s genetic knowledge was the strongest predictor, accounting for roughly 25% of variance in Familiarity and Knowledge and substantially improving model R2; perceived importance had a positive but smaller effect while religious and political measures showed mixed associations. The finding implies improving individuals’ confidence in genetic knowledge, alongside tailored communication strategies, could support better comprehension and uptake of genetics and genomics services.</p>
<p> Conclusion:<br />Confidence in one’s genetic knowledge, after education, is the largest modifiable predictor of genetic literacy and should be a focus for interventions to improve comprehension and uptake of genetics services.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Interaction of identity and beliefs with genetic literacy</p>
<p> First author:<br />Ramírez Renta GM</p>
<p> Journal:<br />The American Journal of Human Genetics, 113 (2026) 16-28. doi:10.1016/j.ajhg.2025.11.014</p>
<p> DOI:<br />10.1016/j.ajhg.2025.11.014</p>
<p> Reference:<br />Ramírez Renta GM, Little ID, Koehly LM, et al. Interaction of identity and beliefs with genetic literacy. The American Journal of Human Genetics. 2026;113:16–28. https://doi.org/10.1016/j.ajhg.2025.11.014</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genetic-literacy-confidence-gals</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of core scientific claims: the three GL pillars (Familiarity, Knowledge, Skills), cultural cognition framework, GALS sampling (GenPop and SPARK), key findings on confidence as predictor, religion/politics effects, disengagement, and implications for communication and trust.<br />- transcript topics: Genetic literacy pillars (Familiarity, Knowledge, Skills); Cultural cognition theory and identity filtering; GALS methodology and cohorts (GenPop vs SPARK); Confidence as a key predictor (~25% variance in GL scores); Religion/religiosity and science vs religion conflict effects; Political beliefs and GL differences</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- me...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ramírez Renta GM et al., The American Journal of Human Genetics, 113 (2026) 16-28. doi:10.1016/j.ajhg.2025.11.014 - GALS survey of >4,000 US respondents (GenPop and SPARK) shows confidence in genetic knowledge predicts Familiarity, Knowledge, and Skills, explaining ~25% of variance. Key terms: genetic literacy, confidence in knowledge, GALS, SPARK, science communication.
 Study Highlights:Using the Genetic and Autism Literacy Survey (GALS) in two US samples (GenPop and SPARK; n>4,000), the authors measured three genetic literacy components: Familiarity, Knowledge, and Skills via subjective familiarity ratings, objective true/false items, and a comprehension task. They modeled associations between these subscales and identity/belief measures including perceived importance, confidence, religiosity, religious affiliation, and political belief using linear regression adjusted for education and population. Confidence in one’s genetic knowledge was the strongest predictor, accounting for roughly 25% of variance in Familiarity and Knowledge and substantially improving model R2; perceived importance had a positive but smaller effect while religious and political measures showed mixed associations. The finding implies improving individuals’ confidence in genetic knowledge, alongside tailored communication strategies, could support better comprehension and uptake of genetics and genomics services.
 Conclusion:Confidence in one’s genetic knowledge, after education, is the largest modifiable predictor of genetic literacy and should be a focus for interventions to improve comprehension and uptake of genetics services.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Interaction of identity and beliefs with genetic literacy
 First author:Ramírez Renta GM
 Journal:The American Journal of Human Genetics, 113 (2026) 16-28. doi:10.1016/j.ajhg.2025.11.014
 DOI:10.1016/j.ajhg.2025.11.014
 Reference:Ramírez Renta GM, Little ID, Koehly LM, et al. Interaction of identity and beliefs with genetic literacy. The American Journal of Human Genetics. 2026;113:16–28. https://doi.org/10.1016/j.ajhg.2025.11.014
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genetic-literacy-confidence-gals
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of core scientific claims: the three GL pillars (Familiarity, Knowledge, Skills), cultural cognition framework, GALS sampling (GenPop and SPARK), key findings on confidence as predictor, religion/politics effects, disengagement, and implications for communication and trust.- transcript topics: Genetic literacy pillars (Familiarity, Knowledge, Skills); Cultural cognition theory and identity filtering; GALS methodology and cohorts (GenPop vs SPARK); Confidence as a key predictor (~25% variance in GL scores); Religion/religiosity and science vs religion conflict effects; Political beliefs and GL differences
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- me...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[283: Confidence in genetic knowledge drives Familiarity, Knowledge, and Skills in US GALS samples]]>
                </itunes:title>
                                    <itunes:episode>283</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ramírez Renta GM et al., The American Journal of Human Genetics, 113 (2026) 16-28. doi:10.1016/j.ajhg.2025.11.014 - GALS survey of &gt;4,000 US respondents (GenPop and SPARK) shows confidence in genetic knowledge predicts Familiarity, Knowledge, and Skills, explaining ~25% of variance. Key terms: genetic literacy, confidence in knowledge, GALS, SPARK, science communication.</p>
<p> Study Highlights:<br />Using the Genetic and Autism Literacy Survey (GALS) in two US samples (GenPop and SPARK; n&gt;4,000), the authors measured three genetic literacy components: Familiarity, Knowledge, and Skills via subjective familiarity ratings, objective true/false items, and a comprehension task. They modeled associations between these subscales and identity/belief measures including perceived importance, confidence, religiosity, religious affiliation, and political belief using linear regression adjusted for education and population. Confidence in one’s genetic knowledge was the strongest predictor, accounting for roughly 25% of variance in Familiarity and Knowledge and substantially improving model R2; perceived importance had a positive but smaller effect while religious and political measures showed mixed associations. The finding implies improving individuals’ confidence in genetic knowledge, alongside tailored communication strategies, could support better comprehension and uptake of genetics and genomics services.</p>
<p> Conclusion:<br />Confidence in one’s genetic knowledge, after education, is the largest modifiable predictor of genetic literacy and should be a focus for interventions to improve comprehension and uptake of genetics services.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Interaction of identity and beliefs with genetic literacy</p>
<p> First author:<br />Ramírez Renta GM</p>
<p> Journal:<br />The American Journal of Human Genetics, 113 (2026) 16-28. doi:10.1016/j.ajhg.2025.11.014</p>
<p> DOI:<br />10.1016/j.ajhg.2025.11.014</p>
<p> Reference:<br />Ramírez Renta GM, Little ID, Koehly LM, et al. Interaction of identity and beliefs with genetic literacy. The American Journal of Human Genetics. 2026;113:16–28. https://doi.org/10.1016/j.ajhg.2025.11.014</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genetic-literacy-confidence-gals</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of core scientific claims: the three GL pillars (Familiarity, Knowledge, Skills), cultural cognition framework, GALS sampling (GenPop and SPARK), key findings on confidence as predictor, religion/politics effects, disengagement, and implications for communication and trust.<br />- transcript topics: Genetic literacy pillars (Familiarity, Knowledge, Skills); Cultural cognition theory and identity filtering; GALS methodology and cohorts (GenPop vs SPARK); Confidence as a key predictor (~25% variance in GL scores); Religion/religiosity and science vs religion conflict effects; Political beliefs and GL differences</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Genetic literacy comprises three components: Familiarity, Knowledge, and Skills.<br />- Confidence in one’s genetic knowledge is the strongest predictor of GL scores, accounting for about 25% of the variance.<br />- Religious affiliation and religiosity are negative predictors of GL scores (relative to non-religious groups).<br />- When faced with science-religion conflict, participants who chose science had higher GL scores than those who chose religion.<br />- Liberals show higher GL scores across subscales than conservatives or moderates; conservatives differ mainly on Knowledge.<br />- SPARK participants scored higher on GL measures than GenPop participants.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                    <![CDATA[Ramírez Renta GM et al., The American Journal of Human Genetics, 113 (2026) 16-28. doi:10.1016/j.ajhg.2025.11.014 - GALS survey of >4,000 US respondents (GenPop and SPARK) shows confidence in genetic knowledge predicts Familiarity, Knowledge, and Skills, explaining ~25% of variance. Key terms: genetic literacy, confidence in knowledge, GALS, SPARK, science communication.
 Study Highlights:Using the Genetic and Autism Literacy Survey (GALS) in two US samples (GenPop and SPARK; n>4,000), the authors measured three genetic literacy components: Familiarity, Knowledge, and Skills via subjective familiarity ratings, objective true/false items, and a comprehension task. They modeled associations between these subscales and identity/belief measures including perceived importance, confidence, religiosity, religious affiliation, and political belief using linear regression adjusted for education and population. Confidence in one’s genetic knowledge was the strongest predictor, accounting for roughly 25% of variance in Familiarity and Knowledge and substantially improving model R2; perceived importance had a positive but smaller effect while religious and political measures showed mixed associations. The finding implies improving individuals’ confidence in genetic knowledge, alongside tailored communication strategies, could support better comprehension and uptake of genetics and genomics services.
 Conclusion:Confidence in one’s genetic knowledge, after education, is the largest modifiable predictor of genetic literacy and should be a focus for interventions to improve comprehension and uptake of genetics services.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Interaction of identity and beliefs with genetic literacy
 First author:Ramírez Renta GM
 Journal:The American Journal of Human Genetics, 113 (2026) 16-28. doi:10.1016/j.ajhg.2025.11.014
 DOI:10.1016/j.ajhg.2025.11.014
 Reference:Ramírez Renta GM, Little ID, Koehly LM, et al. Interaction of identity and beliefs with genetic literacy. The American Journal of Human Genetics. 2026;113:16–28. https://doi.org/10.1016/j.ajhg.2025.11.014
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genetic-literacy-confidence-gals
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of core scientific claims: the three GL pillars (Familiarity, Knowledge, Skills), cultural cognition framework, GALS sampling (GenPop and SPARK), key findings on confidence as predictor, religion/politics effects, disengagement, and implications for communication and trust.- transcript topics: Genetic literacy pillars (Familiarity, Knowledge, Skills); Cultural cognition theory and identity filtering; GALS methodology and cohorts (GenPop vs SPARK); Confidence as a key predictor (~25% variance in GL scores); Religion/religiosity and science vs religion conflict effects; Political beliefs and GL differences
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- me...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2351646/c1a-p6xp7-ndr4xx53b93-zousjt.png"></itunes:image>
                                                                            <itunes:duration>00:18:17</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[Untitled Episode]]>
                </title>
                <pubDate>Fri, 06 Feb 2026 04:26:15 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2350105</guid>
                                    <link>https://basebybase.castos.com/episodes/twas-variance-control-inflation</link>
                                <description>
                                            <![CDATA[<p>Liang Y et al., The American Journal of Human Genetics, 113 (2026) 276-290. doi:10.1016/j.ajhg.2025.12.014 - TWAS using genetically predicted expression exhibit polygenicity-driven inflation that increases with GWAS sample size and heritability; a gene-specific variance-control correction yields calibrated p values. Key terms: transcriptome-wide association study, TWAS, polygenicity, variance-control, PrediXcan.</p>
<p> Study Highlights:<br />The authors evaluated TWAS and related xWAS using simulated polygenic null traits and UK Biobank genotypes with predicted mediators including gene expression, metabolites, and brain features. They combined large-scale simulations, theoretical derivations, and empirical regression of mean Z2 on N*h2δ to estimate a gene-specific inflation slope Φ and applied corrections with S‑PrediXcan/PrediXcan across 110 GWAS traits. They show analytically and empirically that Var(Z) ≈ 1 + N*h2δ*Φ, observe a cohort-level slope around 4.2×10^-5, and demonstrate that dividing Z by sqrt(1+N*h2δ*Φ) restores calibration. Applying the variance-control correction yields well-calibrated p values, reduces false positives for highly polygenic traits, and improves precision with minimal loss of power.</p>
<p> Conclusion:<br />A gene-specific variance-control correction based on an empirically estimated inflation slope Φ corrects polygenicity-driven inflation in TWAS/xWAS and yields calibrated false-positive rates in simulations and real GWAS analyses.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A gene-specific variance-control approach corrects polygenicity-driven inflation observed in transcriptome-wide association studies</p>
<p> First author:<br />Liang Y</p>
<p> Journal:<br />The American Journal of Human Genetics, 113 (2026) 276-290. doi:10.1016/j.ajhg.2025.12.014</p>
<p> DOI:<br />10.1016/j.ajhg.2025.12.014</p>
<p> Reference:<br />Liang Y, Nyasimi F, Im HK. A gene-specific variance-control approach corrects polygenicity-driven inflation observed in transcriptome-wide association studies. The American Journal of Human Genetics. 113 (2026) 276-290. https://doi.org/10.1016/j.ajhg.2025.12.014</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/twas-variance-control-inflation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript’s treatment of TWAS inflation, the Phi inflation parameter, the variance-control correction, and real-data validation across multiple data modalities.<br />- transcript topics: TWAS/xWAS inflation due to polygenicity; linear scaling of inflation with sample size and trait heritability; gene-specific inflation parameter Phi (Φ); variance-control correction and Z-score calibration (Zcorr = Ztwas / sqrt(1 + Φ N h2δ)); comparison with BACON correction; simulation framework: polygenic null trait; UK Biobank data usage across metabolites and brain features</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Liang Y et al., The American Journal of Human Genetics, 113 (2026) 276-290. doi:10.1016/j.ajhg.2025.12.014 - TWAS using genetically predicted expression exhibit polygenicity-driven inflation that increases with GWAS sample size and heritability; a gene-specific variance-control correction yields calibrated p values. Key terms: transcriptome-wide association study, TWAS, polygenicity, variance-control, PrediXcan.
 Study Highlights:The authors evaluated TWAS and related xWAS using simulated polygenic null traits and UK Biobank genotypes with predicted mediators including gene expression, metabolites, and brain features. They combined large-scale simulations, theoretical derivations, and empirical regression of mean Z2 on N*h2δ to estimate a gene-specific inflation slope Φ and applied corrections with S‑PrediXcan/PrediXcan across 110 GWAS traits. They show analytically and empirically that Var(Z) ≈ 1 + N*h2δ*Φ, observe a cohort-level slope around 4.2×10^-5, and demonstrate that dividing Z by sqrt(1+N*h2δ*Φ) restores calibration. Applying the variance-control correction yields well-calibrated p values, reduces false positives for highly polygenic traits, and improves precision with minimal loss of power.
 Conclusion:A gene-specific variance-control correction based on an empirically estimated inflation slope Φ corrects polygenicity-driven inflation in TWAS/xWAS and yields calibrated false-positive rates in simulations and real GWAS analyses.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A gene-specific variance-control approach corrects polygenicity-driven inflation observed in transcriptome-wide association studies
 First author:Liang Y
 Journal:The American Journal of Human Genetics, 113 (2026) 276-290. doi:10.1016/j.ajhg.2025.12.014
 DOI:10.1016/j.ajhg.2025.12.014
 Reference:Liang Y, Nyasimi F, Im HK. A gene-specific variance-control approach corrects polygenicity-driven inflation observed in transcriptome-wide association studies. The American Journal of Human Genetics. 113 (2026) 276-290. https://doi.org/10.1016/j.ajhg.2025.12.014
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/twas-variance-control-inflation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript’s treatment of TWAS inflation, the Phi inflation parameter, the variance-control correction, and real-data validation across multiple data modalities.- transcript topics: TWAS/xWAS inflation due to polygenicity; linear scaling of inflation with sample size and trait heritability; gene-specific inflation parameter Phi (Φ); variance-control correction and Z-score calibration (Zcorr = Ztwas / sqrt(1 + Φ N h2δ)); comparison with BACON correction; simulation framework: polygenic null trait; UK Biobank data usage across metabolites and brain features
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[Untitled Episode]]>
                </itunes:title>
                                    <itunes:episode>282</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Liang Y et al., The American Journal of Human Genetics, 113 (2026) 276-290. doi:10.1016/j.ajhg.2025.12.014 - TWAS using genetically predicted expression exhibit polygenicity-driven inflation that increases with GWAS sample size and heritability; a gene-specific variance-control correction yields calibrated p values. Key terms: transcriptome-wide association study, TWAS, polygenicity, variance-control, PrediXcan.</p>
<p> Study Highlights:<br />The authors evaluated TWAS and related xWAS using simulated polygenic null traits and UK Biobank genotypes with predicted mediators including gene expression, metabolites, and brain features. They combined large-scale simulations, theoretical derivations, and empirical regression of mean Z2 on N*h2δ to estimate a gene-specific inflation slope Φ and applied corrections with S‑PrediXcan/PrediXcan across 110 GWAS traits. They show analytically and empirically that Var(Z) ≈ 1 + N*h2δ*Φ, observe a cohort-level slope around 4.2×10^-5, and demonstrate that dividing Z by sqrt(1+N*h2δ*Φ) restores calibration. Applying the variance-control correction yields well-calibrated p values, reduces false positives for highly polygenic traits, and improves precision with minimal loss of power.</p>
<p> Conclusion:<br />A gene-specific variance-control correction based on an empirically estimated inflation slope Φ corrects polygenicity-driven inflation in TWAS/xWAS and yields calibrated false-positive rates in simulations and real GWAS analyses.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A gene-specific variance-control approach corrects polygenicity-driven inflation observed in transcriptome-wide association studies</p>
<p> First author:<br />Liang Y</p>
<p> Journal:<br />The American Journal of Human Genetics, 113 (2026) 276-290. doi:10.1016/j.ajhg.2025.12.014</p>
<p> DOI:<br />10.1016/j.ajhg.2025.12.014</p>
<p> Reference:<br />Liang Y, Nyasimi F, Im HK. A gene-specific variance-control approach corrects polygenicity-driven inflation observed in transcriptome-wide association studies. The American Journal of Human Genetics. 113 (2026) 276-290. https://doi.org/10.1016/j.ajhg.2025.12.014</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/twas-variance-control-inflation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript’s treatment of TWAS inflation, the Phi inflation parameter, the variance-control correction, and real-data validation across multiple data modalities.<br />- transcript topics: TWAS/xWAS inflation due to polygenicity; linear scaling of inflation with sample size and trait heritability; gene-specific inflation parameter Phi (Φ); variance-control correction and Z-score calibration (Zcorr = Ztwas / sqrt(1 + Φ N h2δ)); comparison with BACON correction; simulation framework: polygenic null trait; UK Biobank data usage across metabolites and brain features</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TWAS/xWAS inflation increases with polygenicity<br />- Inflation scales linearly with GWAS sample size and trait heritability<br />- Gene-specific inflation parameter Phi (Φ) modulates inflation per gene<br />- Variance-control method calibrates Z-scores by adjusting with sqrt(1 + Φ N h2δ)<br />- Variance-control yields calibrated p-values and reduces false positives in polygenic contexts<br />- Real-data validation across 110 GWAS traits and across metabolites/brain features</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Liang Y et al., The American Journal of Human Genetics, 113 (2026) 276-290. doi:10.1016/j.ajhg.2025.12.014 - TWAS using genetically predicted expression exhibit polygenicity-driven inflation that increases with GWAS sample size and heritability; a gene-specific variance-control correction yields calibrated p values. Key terms: transcriptome-wide association study, TWAS, polygenicity, variance-control, PrediXcan.
 Study Highlights:The authors evaluated TWAS and related xWAS using simulated polygenic null traits and UK Biobank genotypes with predicted mediators including gene expression, metabolites, and brain features. They combined large-scale simulations, theoretical derivations, and empirical regression of mean Z2 on N*h2δ to estimate a gene-specific inflation slope Φ and applied corrections with S‑PrediXcan/PrediXcan across 110 GWAS traits. They show analytically and empirically that Var(Z) ≈ 1 + N*h2δ*Φ, observe a cohort-level slope around 4.2×10^-5, and demonstrate that dividing Z by sqrt(1+N*h2δ*Φ) restores calibration. Applying the variance-control correction yields well-calibrated p values, reduces false positives for highly polygenic traits, and improves precision with minimal loss of power.
 Conclusion:A gene-specific variance-control correction based on an empirically estimated inflation slope Φ corrects polygenicity-driven inflation in TWAS/xWAS and yields calibrated false-positive rates in simulations and real GWAS analyses.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A gene-specific variance-control approach corrects polygenicity-driven inflation observed in transcriptome-wide association studies
 First author:Liang Y
 Journal:The American Journal of Human Genetics, 113 (2026) 276-290. doi:10.1016/j.ajhg.2025.12.014
 DOI:10.1016/j.ajhg.2025.12.014
 Reference:Liang Y, Nyasimi F, Im HK. A gene-specific variance-control approach corrects polygenicity-driven inflation observed in transcriptome-wide association studies. The American Journal of Human Genetics. 113 (2026) 276-290. https://doi.org/10.1016/j.ajhg.2025.12.014
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/twas-variance-control-inflation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript’s treatment of TWAS inflation, the Phi inflation parameter, the variance-control correction, and real-data validation across multiple data modalities.- transcript topics: TWAS/xWAS inflation due to polygenicity; linear scaling of inflation with sample size and trait heritability; gene-specific inflation parameter Phi (Φ); variance-control correction and Z-score calibration (Zcorr = Ztwas / sqrt(1 + Φ N h2δ)); comparison with BACON correction; simulation framework: polygenic null trait; UK Biobank data usage across metabolites and brain features
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:20:00</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[281: Variant-level mapping of ACTB and ACTG1 defines eight non-muscle actinopathies and links BWCFF to actin polymerization defects]]>
                </title>
                <pubDate>Fri, 06 Feb 2026 04:10:55 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2350096</guid>
                                    <link>https://basebybase.castos.com/episodes/actb-actg1-non-muscle-actinopathies</link>
                                <description>
                                            <![CDATA[<p>Di Donato N et al., The American Journal of Human Genetics, 113 (2026) 324-341. doi:10.1016/j.ajhg.2025.12.007 - Analysis of 290 individuals with ACTB and ACTG1 variants defines eight distinct non-muscle actinopathies and links BWCFF-causing variants to altered actin polymerization dynamics. Key terms: ACTB, ACTG1, Baraitser-Winter, actin polymerization, genotype-phenotype.</p>
<p> Study Highlights:<br />The study assembled a clinical-genomic cohort of 290 individuals with P/LP ACTB or ACTG1 variants and used expert phenotyping plus GestaltMatcher facial analysis to delineate eight distinct non-muscle actinopathies. Complementary methods included patient-derived fibroblast transcriptomics, recombinant actin production, differential scanning fluorimetry, and pyrene-based polymerization/depolymerization assays. BWCFF-associated missense variants (e.g., ACTB:R196H, ACTG1:T203M) produced decreased polymerization rates and faster depolymerization, whereas selected ACTB missense or in-frame variants impaired folding or thermal stability consistent with loss-of-function. These mechanistic stratifications support improved diagnostic classification, prognostication, and selection of functional assays for variant interpretation.</p>
<p> Conclusion:<br />Variant-level analysis of 290 individuals delineates eight distinct non-muscle actinopathies and shows that BWCFF-linked missense variants disrupt actin polymerization while select ACTB variants cause protein instability consistent with loss-of-function.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Molecular genotype-phenotype correlation in ACTB- and ACTG1-related non-muscle actinopathies</p>
<p> First author:<br />Di Donato N</p>
<p> Journal:<br />The American Journal of Human Genetics, 113 (2026) 324-341. doi:10.1016/j.ajhg.2025.12.007</p>
<p> DOI:<br />10.1016/j.ajhg.2025.12.007</p>
<p> Reference:<br />Di Donato N, NMA Consortium, et al. Molecular genotype-phenotype correlation in ACTB- and ACTG1-related non-muscle actinopathies. The American Journal of Human Genetics. 113:324-341 (2026). https://doi.org/10.1016/j.ajhg.2025.12.007</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/actb-actg1-non-muscle-actinopathies</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the substantive scientific content of the transcript, focusing on: gene pair ACTB/ACTG1; eight NMAs; BWCFF mechanistic basis (actin polymerization/depolymerization); loss-of-function ACTB with thrombocytopenia; ACTG1 deletion phenotypes; fibroblast/tissue specificity; GestaltMatcher-based facial analysis; diagn<br />- transcript topics: ACTB and ACTG1 gene similarity and functional differences; Cohort overview: 290 individuals, 125 new cases; Eight non-muscle actinopathies (NMAs) and genotype-phenotype correlations; BWCFF mechanism: missense variants cause unstable actin, altered polymerization/depolymerization; ACTB loss-of-function (LoF) disorder: thrombocytopenia and neurodevelopmental features; ACTG1 deletions: milder phenotypes or near-normal presentations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Di Donato N et al., The American Journal of Human Genetics, 113 (2026) 324-341. doi:10.1016/j.ajhg.2025.12.007 - Analysis of 290 individuals with ACTB and ACTG1 variants defines eight distinct non-muscle actinopathies and links BWCFF-causing variants to altered actin polymerization dynamics. Key terms: ACTB, ACTG1, Baraitser-Winter, actin polymerization, genotype-phenotype.
 Study Highlights:The study assembled a clinical-genomic cohort of 290 individuals with P/LP ACTB or ACTG1 variants and used expert phenotyping plus GestaltMatcher facial analysis to delineate eight distinct non-muscle actinopathies. Complementary methods included patient-derived fibroblast transcriptomics, recombinant actin production, differential scanning fluorimetry, and pyrene-based polymerization/depolymerization assays. BWCFF-associated missense variants (e.g., ACTB:R196H, ACTG1:T203M) produced decreased polymerization rates and faster depolymerization, whereas selected ACTB missense or in-frame variants impaired folding or thermal stability consistent with loss-of-function. These mechanistic stratifications support improved diagnostic classification, prognostication, and selection of functional assays for variant interpretation.
 Conclusion:Variant-level analysis of 290 individuals delineates eight distinct non-muscle actinopathies and shows that BWCFF-linked missense variants disrupt actin polymerization while select ACTB variants cause protein instability consistent with loss-of-function.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Molecular genotype-phenotype correlation in ACTB- and ACTG1-related non-muscle actinopathies
 First author:Di Donato N
 Journal:The American Journal of Human Genetics, 113 (2026) 324-341. doi:10.1016/j.ajhg.2025.12.007
 DOI:10.1016/j.ajhg.2025.12.007
 Reference:Di Donato N, NMA Consortium, et al. Molecular genotype-phenotype correlation in ACTB- and ACTG1-related non-muscle actinopathies. The American Journal of Human Genetics. 113:324-341 (2026). https://doi.org/10.1016/j.ajhg.2025.12.007
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/actb-actg1-non-muscle-actinopathies
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the substantive scientific content of the transcript, focusing on: gene pair ACTB/ACTG1; eight NMAs; BWCFF mechanistic basis (actin polymerization/depolymerization); loss-of-function ACTB with thrombocytopenia; ACTG1 deletion phenotypes; fibroblast/tissue specificity; GestaltMatcher-based facial analysis; diagn- transcript topics: ACTB and ACTG1 gene similarity and functional differences; Cohort overview: 290 individuals, 125 new cases; Eight non-muscle actinopathies (NMAs) and genotype-phenotype correlations; BWCFF mechanism: missense variants cause unstable actin, altered polymerization/depolymerization; ACTB loss-of-function (LoF) disorder: thrombocytopenia and neurodevelopmental features; ACTG1 deletions: milder phenotypes or near-normal presentations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[281: Variant-level mapping of ACTB and ACTG1 defines eight non-muscle actinopathies and links BWCFF to actin polymerization defects]]>
                </itunes:title>
                                    <itunes:episode>281</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Di Donato N et al., The American Journal of Human Genetics, 113 (2026) 324-341. doi:10.1016/j.ajhg.2025.12.007 - Analysis of 290 individuals with ACTB and ACTG1 variants defines eight distinct non-muscle actinopathies and links BWCFF-causing variants to altered actin polymerization dynamics. Key terms: ACTB, ACTG1, Baraitser-Winter, actin polymerization, genotype-phenotype.</p>
<p> Study Highlights:<br />The study assembled a clinical-genomic cohort of 290 individuals with P/LP ACTB or ACTG1 variants and used expert phenotyping plus GestaltMatcher facial analysis to delineate eight distinct non-muscle actinopathies. Complementary methods included patient-derived fibroblast transcriptomics, recombinant actin production, differential scanning fluorimetry, and pyrene-based polymerization/depolymerization assays. BWCFF-associated missense variants (e.g., ACTB:R196H, ACTG1:T203M) produced decreased polymerization rates and faster depolymerization, whereas selected ACTB missense or in-frame variants impaired folding or thermal stability consistent with loss-of-function. These mechanistic stratifications support improved diagnostic classification, prognostication, and selection of functional assays for variant interpretation.</p>
<p> Conclusion:<br />Variant-level analysis of 290 individuals delineates eight distinct non-muscle actinopathies and shows that BWCFF-linked missense variants disrupt actin polymerization while select ACTB variants cause protein instability consistent with loss-of-function.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Molecular genotype-phenotype correlation in ACTB- and ACTG1-related non-muscle actinopathies</p>
<p> First author:<br />Di Donato N</p>
<p> Journal:<br />The American Journal of Human Genetics, 113 (2026) 324-341. doi:10.1016/j.ajhg.2025.12.007</p>
<p> DOI:<br />10.1016/j.ajhg.2025.12.007</p>
<p> Reference:<br />Di Donato N, NMA Consortium, et al. Molecular genotype-phenotype correlation in ACTB- and ACTG1-related non-muscle actinopathies. The American Journal of Human Genetics. 113:324-341 (2026). https://doi.org/10.1016/j.ajhg.2025.12.007</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/actb-actg1-non-muscle-actinopathies</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the substantive scientific content of the transcript, focusing on: gene pair ACTB/ACTG1; eight NMAs; BWCFF mechanistic basis (actin polymerization/depolymerization); loss-of-function ACTB with thrombocytopenia; ACTG1 deletion phenotypes; fibroblast/tissue specificity; GestaltMatcher-based facial analysis; diagn<br />- transcript topics: ACTB and ACTG1 gene similarity and functional differences; Cohort overview: 290 individuals, 125 new cases; Eight non-muscle actinopathies (NMAs) and genotype-phenotype correlations; BWCFF mechanism: missense variants cause unstable actin, altered polymerization/depolymerization; ACTB loss-of-function (LoF) disorder: thrombocytopenia and neurodevelopmental features; ACTG1 deletions: milder phenotypes or near-normal presentations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Cohort comprises 290 individuals with ACTB/ACTG1 variants (125 new cases)<br />- Eight distinct non-muscle actinopathies (NMAs) identified<br />- BWCFF associated with missense variants showing decreased actin polymerization and faster depolymerization<br />- ACTB loss-of-function (LoF) variants/deletions associated with thrombocytopenia and mild neurodevelopmental impairment<br />- ACTG1 deletions often milder or near-normal; dosage sensitivity lower than ACTB<br />- Dystonia-deafness syndrome (ACTB hotspot variants like R183W) and isolated hearing loss (ACTG1) described</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Di Donato N et al., The American Journal of Human Genetics, 113 (2026) 324-341. doi:10.1016/j.ajhg.2025.12.007 - Analysis of 290 individuals with ACTB and ACTG1 variants defines eight distinct non-muscle actinopathies and links BWCFF-causing variants to altered actin polymerization dynamics. Key terms: ACTB, ACTG1, Baraitser-Winter, actin polymerization, genotype-phenotype.
 Study Highlights:The study assembled a clinical-genomic cohort of 290 individuals with P/LP ACTB or ACTG1 variants and used expert phenotyping plus GestaltMatcher facial analysis to delineate eight distinct non-muscle actinopathies. Complementary methods included patient-derived fibroblast transcriptomics, recombinant actin production, differential scanning fluorimetry, and pyrene-based polymerization/depolymerization assays. BWCFF-associated missense variants (e.g., ACTB:R196H, ACTG1:T203M) produced decreased polymerization rates and faster depolymerization, whereas selected ACTB missense or in-frame variants impaired folding or thermal stability consistent with loss-of-function. These mechanistic stratifications support improved diagnostic classification, prognostication, and selection of functional assays for variant interpretation.
 Conclusion:Variant-level analysis of 290 individuals delineates eight distinct non-muscle actinopathies and shows that BWCFF-linked missense variants disrupt actin polymerization while select ACTB variants cause protein instability consistent with loss-of-function.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Molecular genotype-phenotype correlation in ACTB- and ACTG1-related non-muscle actinopathies
 First author:Di Donato N
 Journal:The American Journal of Human Genetics, 113 (2026) 324-341. doi:10.1016/j.ajhg.2025.12.007
 DOI:10.1016/j.ajhg.2025.12.007
 Reference:Di Donato N, NMA Consortium, et al. Molecular genotype-phenotype correlation in ACTB- and ACTG1-related non-muscle actinopathies. The American Journal of Human Genetics. 113:324-341 (2026). https://doi.org/10.1016/j.ajhg.2025.12.007
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/actb-actg1-non-muscle-actinopathies
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the substantive scientific content of the transcript, focusing on: gene pair ACTB/ACTG1; eight NMAs; BWCFF mechanistic basis (actin polymerization/depolymerization); loss-of-function ACTB with thrombocytopenia; ACTG1 deletion phenotypes; fibroblast/tissue specificity; GestaltMatcher-based facial analysis; diagn- transcript topics: ACTB and ACTG1 gene similarity and functional differences; Cohort overview: 290 individuals, 125 new cases; Eight non-muscle actinopathies (NMAs) and genotype-phenotype correlations; BWCFF mechanism: missense variants cause unstable actin, altered polymerization/depolymerization; ACTB loss-of-function (LoF) disorder: thrombocytopenia and neurodevelopmental features; ACTG1 deletions: milder phenotypes or near-normal presentations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2350096/c1a-p6xp7-6z8w2241u26k-nqbrb5.png"></itunes:image>
                                                                            <itunes:duration>00:20:37</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[280: SCD, FADS and a 3p25.2 (PPARG) locus shape fatty acid composition in human subcutaneous adipose tissue]]>
                </title>
                <pubDate>Wed, 04 Feb 2026 05:38:29 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2347848</guid>
                                    <link>https://basebybase.castos.com/episodes/scd-fads-pparg-adipose</link>
                                <description>
                                            <![CDATA[<p>Yan X et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.008 - In 569 TwinsUK subcutaneous adipose biopsies, twin models and GWAS identify SCD, FADS and 3p25.2 (PPARG) loci regulating fatty acid levels and conversions. Key terms: SCD, FADS1, PPARG, adipose-tissue, fatty-acids.</p>
<p> Study Highlights:<br />System and sample: 569 female TwinsUK subcutaneous adipose biopsies with matched serum, RNA-seq and 450K methylation data were analyzed. Key methods: gas chromatography fatty acid profiling, ACE twin heritability models, GWAS of 18 fatty acids and 15 product-to-precursor ratios, colocalization with adipose eQTLs and meQTLs, and polygenic score analysis. Main quantitative results: heritability of individual fatty acids ranged from 5%–59% while 15 fatty acid ratios were heritable and GWAS identified 10 genome-wide significant loci including SCD and FADS with the SCD lead variant explaining ~7–11% of variance and ratios showing heritability up to ~54%. Functional implication: colocalizations with adipose-specific eQTLs and meQTLs and associations between metabolic polygenic scores and fatty acid levels link local genetic regulation in adipose tissue to renal and cardio-metabolic phenotypes.</p>
<p> Conclusion:<br />Local genetic variation in adipose tissue, including SCD, FADS and a 3p25.2 locus near PPARG, regulates fatty acid composition and conversion and is connected to renal and cardio-metabolic traits.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genetic regulation of fatty acid content in adipose tissue</p>
<p> First author:<br />Yan X</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.008</p>
<p> DOI:<br />10.1016/j.ajhg.2025.12.008</p>
<p> Reference:<br />Yan X., Roberts A.L., El-Sayed Moustafa J.S., Villicaña S., Al-Hilal M., Tomlinson M., Menni C., Sanders T.A.B., Freidin M.B., Bell J.T., Small K.S., Genetic regulation of fatty acid content in adipose tissue. The American Journal of Human Genetics 113, 1–18, February 5, 2026. https://doi.org/10.1016/j.ajhg.2025.12.008</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/scd-fads-pparg-adipose</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive scientific claims regarding adipose fatty acid heritability and tissue specificity, GWAS loci (SCD, FADS, 3p25.2/PPARG), adipose molecular mechanisms (eQTL/meQTL colocalization), the fat–kidney link via pleiotropy, and polygenic-score associations with adipose fatty acids; also covered study limitat<br />- transcript topics: Adipose fatty acid heritability and tissue specificity; Genome-wide association signals for adipose fatty acids (SCD, FADS, 3p25.2/PPARG); Adipose-specific regulation and colocalization with eQTL/meQTL; Arachidonic acid and kidney trait pleiotropy; Polygenic scores and adipose fatty acids; Limitations and demographic scope</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Yan X et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.008 - In 569 TwinsUK subcutaneous adipose biopsies, twin models and GWAS identify SCD, FADS and 3p25.2 (PPARG) loci regulating fatty acid levels and conversions. Key terms: SCD, FADS1, PPARG, adipose-tissue, fatty-acids.
 Study Highlights:System and sample: 569 female TwinsUK subcutaneous adipose biopsies with matched serum, RNA-seq and 450K methylation data were analyzed. Key methods: gas chromatography fatty acid profiling, ACE twin heritability models, GWAS of 18 fatty acids and 15 product-to-precursor ratios, colocalization with adipose eQTLs and meQTLs, and polygenic score analysis. Main quantitative results: heritability of individual fatty acids ranged from 5%–59% while 15 fatty acid ratios were heritable and GWAS identified 10 genome-wide significant loci including SCD and FADS with the SCD lead variant explaining ~7–11% of variance and ratios showing heritability up to ~54%. Functional implication: colocalizations with adipose-specific eQTLs and meQTLs and associations between metabolic polygenic scores and fatty acid levels link local genetic regulation in adipose tissue to renal and cardio-metabolic phenotypes.
 Conclusion:Local genetic variation in adipose tissue, including SCD, FADS and a 3p25.2 locus near PPARG, regulates fatty acid composition and conversion and is connected to renal and cardio-metabolic traits.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genetic regulation of fatty acid content in adipose tissue
 First author:Yan X
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.008
 DOI:10.1016/j.ajhg.2025.12.008
 Reference:Yan X., Roberts A.L., El-Sayed Moustafa J.S., Villicaña S., Al-Hilal M., Tomlinson M., Menni C., Sanders T.A.B., Freidin M.B., Bell J.T., Small K.S., Genetic regulation of fatty acid content in adipose tissue. The American Journal of Human Genetics 113, 1–18, February 5, 2026. https://doi.org/10.1016/j.ajhg.2025.12.008
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/scd-fads-pparg-adipose
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive scientific claims regarding adipose fatty acid heritability and tissue specificity, GWAS loci (SCD, FADS, 3p25.2/PPARG), adipose molecular mechanisms (eQTL/meQTL colocalization), the fat–kidney link via pleiotropy, and polygenic-score associations with adipose fatty acids; also covered study limitat- transcript topics: Adipose fatty acid heritability and tissue specificity; Genome-wide association signals for adipose fatty acids (SCD, FADS, 3p25.2/PPARG); Adipose-specific regulation and colocalization with eQTL/meQTL; Arachidonic acid and kidney trait pleiotropy; Polygenic scores and adipose fatty acids; Limitations and demographic scope
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[280: SCD, FADS and a 3p25.2 (PPARG) locus shape fatty acid composition in human subcutaneous adipose tissue]]>
                </itunes:title>
                                    <itunes:episode>280</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Yan X et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.008 - In 569 TwinsUK subcutaneous adipose biopsies, twin models and GWAS identify SCD, FADS and 3p25.2 (PPARG) loci regulating fatty acid levels and conversions. Key terms: SCD, FADS1, PPARG, adipose-tissue, fatty-acids.</p>
<p> Study Highlights:<br />System and sample: 569 female TwinsUK subcutaneous adipose biopsies with matched serum, RNA-seq and 450K methylation data were analyzed. Key methods: gas chromatography fatty acid profiling, ACE twin heritability models, GWAS of 18 fatty acids and 15 product-to-precursor ratios, colocalization with adipose eQTLs and meQTLs, and polygenic score analysis. Main quantitative results: heritability of individual fatty acids ranged from 5%–59% while 15 fatty acid ratios were heritable and GWAS identified 10 genome-wide significant loci including SCD and FADS with the SCD lead variant explaining ~7–11% of variance and ratios showing heritability up to ~54%. Functional implication: colocalizations with adipose-specific eQTLs and meQTLs and associations between metabolic polygenic scores and fatty acid levels link local genetic regulation in adipose tissue to renal and cardio-metabolic phenotypes.</p>
<p> Conclusion:<br />Local genetic variation in adipose tissue, including SCD, FADS and a 3p25.2 locus near PPARG, regulates fatty acid composition and conversion and is connected to renal and cardio-metabolic traits.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genetic regulation of fatty acid content in adipose tissue</p>
<p> First author:<br />Yan X</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.008</p>
<p> DOI:<br />10.1016/j.ajhg.2025.12.008</p>
<p> Reference:<br />Yan X., Roberts A.L., El-Sayed Moustafa J.S., Villicaña S., Al-Hilal M., Tomlinson M., Menni C., Sanders T.A.B., Freidin M.B., Bell J.T., Small K.S., Genetic regulation of fatty acid content in adipose tissue. The American Journal of Human Genetics 113, 1–18, February 5, 2026. https://doi.org/10.1016/j.ajhg.2025.12.008</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/scd-fads-pparg-adipose</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive scientific claims regarding adipose fatty acid heritability and tissue specificity, GWAS loci (SCD, FADS, 3p25.2/PPARG), adipose molecular mechanisms (eQTL/meQTL colocalization), the fat–kidney link via pleiotropy, and polygenic-score associations with adipose fatty acids; also covered study limitat<br />- transcript topics: Adipose fatty acid heritability and tissue specificity; Genome-wide association signals for adipose fatty acids (SCD, FADS, 3p25.2/PPARG); Adipose-specific regulation and colocalization with eQTL/meQTL; Arachidonic acid and kidney trait pleiotropy; Polygenic scores and adipose fatty acids; Limitations and demographic scope</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Adipose fatty acids show heritability with tissue specificity; adipose heritability ranges widely (0–59%), with some fatty acids showing little to no heritability in adipose but hi<br />- GWAS identified 10 independent loci associated with adipose fatty acids and ratios; SCD and FADS loci were replicated, and a novel 3p25.2 locus near PPARG/MKRN2/TSEN2 was identifie<br />- SCD locus exhibits adipose-specific regulatory effects (adipose eQTL and meQTL colocalization; adipose SCD expression correlates with fatty acid ratios).<br />- 3p25.2 locus regulates arachidonic acid and the arachidonic acid/linoleic acid ratio in adipose tissue and colocalizes with kidney-trait signals (eGFR, creatinine, cystatin C), ind<br />- GWAS signals at SCD, FADS, and 3p25.2 show molecular-trait colocalization with eQTLs/meQTLs, supporting tissue-specific regulatory mechanisms.<br />- Polygenic scores for BMI, fat distribution, and triglycerides are associated with adipose tissue fatty acid levels, linking systemic metabolic risk to local adipose composition.</p>
<p>QC result: Pass.</p>]]>
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                    <![CDATA[Yan X et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.008 - In 569 TwinsUK subcutaneous adipose biopsies, twin models and GWAS identify SCD, FADS and 3p25.2 (PPARG) loci regulating fatty acid levels and conversions. Key terms: SCD, FADS1, PPARG, adipose-tissue, fatty-acids.
 Study Highlights:System and sample: 569 female TwinsUK subcutaneous adipose biopsies with matched serum, RNA-seq and 450K methylation data were analyzed. Key methods: gas chromatography fatty acid profiling, ACE twin heritability models, GWAS of 18 fatty acids and 15 product-to-precursor ratios, colocalization with adipose eQTLs and meQTLs, and polygenic score analysis. Main quantitative results: heritability of individual fatty acids ranged from 5%–59% while 15 fatty acid ratios were heritable and GWAS identified 10 genome-wide significant loci including SCD and FADS with the SCD lead variant explaining ~7–11% of variance and ratios showing heritability up to ~54%. Functional implication: colocalizations with adipose-specific eQTLs and meQTLs and associations between metabolic polygenic scores and fatty acid levels link local genetic regulation in adipose tissue to renal and cardio-metabolic phenotypes.
 Conclusion:Local genetic variation in adipose tissue, including SCD, FADS and a 3p25.2 locus near PPARG, regulates fatty acid composition and conversion and is connected to renal and cardio-metabolic traits.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genetic regulation of fatty acid content in adipose tissue
 First author:Yan X
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.008
 DOI:10.1016/j.ajhg.2025.12.008
 Reference:Yan X., Roberts A.L., El-Sayed Moustafa J.S., Villicaña S., Al-Hilal M., Tomlinson M., Menni C., Sanders T.A.B., Freidin M.B., Bell J.T., Small K.S., Genetic regulation of fatty acid content in adipose tissue. The American Journal of Human Genetics 113, 1–18, February 5, 2026. https://doi.org/10.1016/j.ajhg.2025.12.008
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/scd-fads-pparg-adipose
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive scientific claims regarding adipose fatty acid heritability and tissue specificity, GWAS loci (SCD, FADS, 3p25.2/PPARG), adipose molecular mechanisms (eQTL/meQTL colocalization), the fat–kidney link via pleiotropy, and polygenic-score associations with adipose fatty acids; also covered study limitat- transcript topics: Adipose fatty acid heritability and tissue specificity; Genome-wide association signals for adipose fatty acids (SCD, FADS, 3p25.2/PPARG); Adipose-specific regulation and colocalization with eQTL/meQTL; Arachidonic acid and kidney trait pleiotropy; Polygenic scores and adipose fatty acids; Limitations and demographic scope
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article...]]>
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                                                                            <itunes:duration>00:17:04</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[279: Against the Uncritical Adoption of AI in Universities: LLMs, Chatbots, and Academic Integrity (Guest et al.)]]>
                </title>
                <pubDate>Mon, 02 Feb 2026 22:23:34 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2346945</guid>
                                    <link>https://basebybase.castos.com/episodes/universities-resist-ai-adoption</link>
                                <description>
                                            <![CDATA[<p>Guest O et al. - Position piece urging universities to resist uncritical adoption of AI technologies such as LLMs and chatbots because they undermine academic freedom, integrity, and pedagogical skills. Key terms: artificial intelligence, higher education, large language models, academic freedom, critical AI literacy.</p>
<p> Study Highlights:<br />System: the higher education sector and university classrooms; methods: a co-authored open letter, conceptual analysis, and literature synthesis drawing on historical and contemporary sources. The authors analyse how AI industry marketing, ambiguous jargon, closed-source models, and extractive data and labour practices create institutional dependencies and conflicts of interest. They show this structural entanglement erodes research integrity, deskills students and staff, and produces environmental and social harms. As a functional implication they call for principled refusal, transparency, critical AI literacy, and policy measures to protect academic freedom and the ecosystem of human knowledge.</p>
<p> Conclusion:<br />Universities must reject the uncritical adoption of AI technologies and take active measures to safeguard critical thinking, expertise, academic freedom, and scientific integrity.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Against the Uncritical Adoption of AI Technologies in Academia</p>
<p> First author:<br />Guest O</p>
<p> Journal:<br />Zenodo</p>
<p> DOI:<br />10.5281/zenodo.17065099</p>
<p> Reference:<br />Guest O, Suarez M, Muller BCN, van Meerkerk E, Oude Groote Beverborg A, de Haan R, et al. Against the Uncritical Adoption of AI Technologies in Academia. Zenodo. 2025. https://doi.org/10.5281/zenodo.17065099</p>
<p> License:<br />This episode is based on an open-access preprint released under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/universities-resist-ai-adoption</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections that discuss the preprint 'Against the Uncritical Adoption of AI Technologies in Academia' and its critiques: hype/terminology, environmental and labor harms, two victims of plagiarism, knowledge production vs knowledge translation, and guardrails for AI-assisted science communication.<br />- transcript topics: AI hype and terminology in academia; Marketing, hype, and harm of AI technologies; Environmental costs and ghost labor in AI; Two victims of plagiarism (original author and audience); Knowledge production vs knowledge translation; Guardrails for ethical AI use in science communication</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- AI hype and marketing as a concern in academia<br />- Environmental costs and labor (ghost work) associated with AI systems<br />- The concept of two victims of plagiarism (original author and audience)<br />- Distinction between knowledge production and knowledge translation<br />- Need for guardrails and human verification in AI-assisted science commun...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Guest O et al. - Position piece urging universities to resist uncritical adoption of AI technologies such as LLMs and chatbots because they undermine academic freedom, integrity, and pedagogical skills. Key terms: artificial intelligence, higher education, large language models, academic freedom, critical AI literacy.
 Study Highlights:System: the higher education sector and university classrooms; methods: a co-authored open letter, conceptual analysis, and literature synthesis drawing on historical and contemporary sources. The authors analyse how AI industry marketing, ambiguous jargon, closed-source models, and extractive data and labour practices create institutional dependencies and conflicts of interest. They show this structural entanglement erodes research integrity, deskills students and staff, and produces environmental and social harms. As a functional implication they call for principled refusal, transparency, critical AI literacy, and policy measures to protect academic freedom and the ecosystem of human knowledge.
 Conclusion:Universities must reject the uncritical adoption of AI technologies and take active measures to safeguard critical thinking, expertise, academic freedom, and scientific integrity.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Against the Uncritical Adoption of AI Technologies in Academia
 First author:Guest O
 Journal:Zenodo
 DOI:10.5281/zenodo.17065099
 Reference:Guest O, Suarez M, Muller BCN, van Meerkerk E, Oude Groote Beverborg A, de Haan R, et al. Against the Uncritical Adoption of AI Technologies in Academia. Zenodo. 2025. https://doi.org/10.5281/zenodo.17065099
 License:This episode is based on an open-access preprint released under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/universities-resist-ai-adoption
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections that discuss the preprint 'Against the Uncritical Adoption of AI Technologies in Academia' and its critiques: hype/terminology, environmental and labor harms, two victims of plagiarism, knowledge production vs knowledge translation, and guardrails for AI-assisted science communication.- transcript topics: AI hype and terminology in academia; Marketing, hype, and harm of AI technologies; Environmental costs and ghost labor in AI; Two victims of plagiarism (original author and audience); Knowledge production vs knowledge translation; Guardrails for ethical AI use in science communication
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- AI hype and marketing as a concern in academia- Environmental costs and labor (ghost work) associated with AI systems- The concept of two victims of plagiarism (original author and audience)- Distinction between knowledge production and knowledge translation- Need for guardrails and human verification in AI-assisted science commun...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[279: Against the Uncritical Adoption of AI in Universities: LLMs, Chatbots, and Academic Integrity (Guest et al.)]]>
                </itunes:title>
                                    <itunes:episode>279</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Guest O et al. - Position piece urging universities to resist uncritical adoption of AI technologies such as LLMs and chatbots because they undermine academic freedom, integrity, and pedagogical skills. Key terms: artificial intelligence, higher education, large language models, academic freedom, critical AI literacy.</p>
<p> Study Highlights:<br />System: the higher education sector and university classrooms; methods: a co-authored open letter, conceptual analysis, and literature synthesis drawing on historical and contemporary sources. The authors analyse how AI industry marketing, ambiguous jargon, closed-source models, and extractive data and labour practices create institutional dependencies and conflicts of interest. They show this structural entanglement erodes research integrity, deskills students and staff, and produces environmental and social harms. As a functional implication they call for principled refusal, transparency, critical AI literacy, and policy measures to protect academic freedom and the ecosystem of human knowledge.</p>
<p> Conclusion:<br />Universities must reject the uncritical adoption of AI technologies and take active measures to safeguard critical thinking, expertise, academic freedom, and scientific integrity.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Against the Uncritical Adoption of AI Technologies in Academia</p>
<p> First author:<br />Guest O</p>
<p> Journal:<br />Zenodo</p>
<p> DOI:<br />10.5281/zenodo.17065099</p>
<p> Reference:<br />Guest O, Suarez M, Muller BCN, van Meerkerk E, Oude Groote Beverborg A, de Haan R, et al. Against the Uncritical Adoption of AI Technologies in Academia. Zenodo. 2025. https://doi.org/10.5281/zenodo.17065099</p>
<p> License:<br />This episode is based on an open-access preprint released under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/universities-resist-ai-adoption</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections that discuss the preprint 'Against the Uncritical Adoption of AI Technologies in Academia' and its critiques: hype/terminology, environmental and labor harms, two victims of plagiarism, knowledge production vs knowledge translation, and guardrails for AI-assisted science communication.<br />- transcript topics: AI hype and terminology in academia; Marketing, hype, and harm of AI technologies; Environmental costs and ghost labor in AI; Two victims of plagiarism (original author and audience); Knowledge production vs knowledge translation; Guardrails for ethical AI use in science communication</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- AI hype and marketing as a concern in academia<br />- Environmental costs and labor (ghost work) associated with AI systems<br />- The concept of two victims of plagiarism (original author and audience)<br />- Distinction between knowledge production and knowledge translation<br />- Need for guardrails and human verification in AI-assisted science communication<br />- Call for critical AI literacy and public discussion</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Guest O et al. - Position piece urging universities to resist uncritical adoption of AI technologies such as LLMs and chatbots because they undermine academic freedom, integrity, and pedagogical skills. Key terms: artificial intelligence, higher education, large language models, academic freedom, critical AI literacy.
 Study Highlights:System: the higher education sector and university classrooms; methods: a co-authored open letter, conceptual analysis, and literature synthesis drawing on historical and contemporary sources. The authors analyse how AI industry marketing, ambiguous jargon, closed-source models, and extractive data and labour practices create institutional dependencies and conflicts of interest. They show this structural entanglement erodes research integrity, deskills students and staff, and produces environmental and social harms. As a functional implication they call for principled refusal, transparency, critical AI literacy, and policy measures to protect academic freedom and the ecosystem of human knowledge.
 Conclusion:Universities must reject the uncritical adoption of AI technologies and take active measures to safeguard critical thinking, expertise, academic freedom, and scientific integrity.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Against the Uncritical Adoption of AI Technologies in Academia
 First author:Guest O
 Journal:Zenodo
 DOI:10.5281/zenodo.17065099
 Reference:Guest O, Suarez M, Muller BCN, van Meerkerk E, Oude Groote Beverborg A, de Haan R, et al. Against the Uncritical Adoption of AI Technologies in Academia. Zenodo. 2025. https://doi.org/10.5281/zenodo.17065099
 License:This episode is based on an open-access preprint released under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/universities-resist-ai-adoption
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections that discuss the preprint 'Against the Uncritical Adoption of AI Technologies in Academia' and its critiques: hype/terminology, environmental and labor harms, two victims of plagiarism, knowledge production vs knowledge translation, and guardrails for AI-assisted science communication.- transcript topics: AI hype and terminology in academia; Marketing, hype, and harm of AI technologies; Environmental costs and ghost labor in AI; Two victims of plagiarism (original author and audience); Knowledge production vs knowledge translation; Guardrails for ethical AI use in science communication
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- AI hype and marketing as a concern in academia- Environmental costs and labor (ghost work) associated with AI systems- The concept of two victims of plagiarism (original author and audience)- Distinction between knowledge production and knowledge translation- Need for guardrails and human verification in AI-assisted science commun...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2346945/c1a-p6xp7-345gppvws7d5-jruiml.png"></itunes:image>
                                                                            <itunes:duration>00:20:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[278: Illumina, Grail and FTC scrutiny of vertical mergers in human genetic technologies]]>
                </title>
                <pubDate>Mon, 02 Feb 2026 05:47:51 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2345641</guid>
                                    <link>https://basebybase.castos.com/episodes/illumina-grail-vertical-mergers</link>
                                <description>
                                            <![CDATA[<p>Rashid AI et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.012 - US antitrust shifts in human genetic technologies: FTC scrutiny of Illumina’s acquisition of Grail alters NGS market oversight and could affect spin-offs and startups. Key terms: Illumina, Grail, vertical mergers, FTC merger guidelines, non-compete rule.</p>
<p> Study Highlights:<br />This perspective examines the US legal and regulatory landscape for human genetic and genomic technologies, focusing on FTC and DOJ policy changes and enforcement habits. Using a case-study approach centered on Illumina’s proposed acquisition and eventual divestiture of Grail, the authors review updated merger guidelines, non-compete rule developments, and exclusive-dealing concerns. They report that the 2023 merger guidelines lowered thresholds for presumed anti-competitiveness and that the FTC’s challenge emphasized risks to nascent mult-cancer early detection competitors that rely on next-generation sequencing platforms. The authors conclude that heightened vertical-merger scrutiny may reduce spin-offs and early-stage acquisitions, prompting firms to favor in-house R&amp;D or alternate collaboration models.</p>
<p> Conclusion:<br />Heightened scrutiny of vertical mergers and attention to nascent competition in US antitrust policy is likely to reshape biotechnology strategies by reducing spin-offs and encouraging in-house development.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Competition in human genetic technologies: The current US legal landscape</p>
<p> First author:<br />Rashid AI</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.012</p>
<p> DOI:<br />10.1016/j.ajhg.2025.12.012</p>
<p> Reference:<br />Rashid AI, Rincon NA, Rihani N, Wagner JK. Competition in human genetic technologies: The current US legal landscape. The American Journal of Human Genetics. 2026;113:1–10. https://doi.org/10.1016/j.ajhg.2025.12.012</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/illumina-grail-vertical-mergers</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections that discuss antitrust policy landscape, the Illumina/Grail vertical merger case, regulatory instruments (HSR, Sherman, Clayton), NASCENT competition, spin-offs and IRS spin-off rules, non-compete status, and startup financing implications.<br />- transcript topics: Illumina/Grail vertical merger case; Foreclosure theory in vertical mergers; Open offer and divestiture outcome; 2023 merger guidelines and vertical mergers; Nascent competition and spin-offs; IRS rules on corporate spin-offs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Illumina/Grail case as a vertical merger example with divestiture<br />- Foreclosure as a potential anti-competitive mechanism in vertical mergers<br />- 2023 merger gu...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Rashid AI et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.012 - US antitrust shifts in human genetic technologies: FTC scrutiny of Illumina’s acquisition of Grail alters NGS market oversight and could affect spin-offs and startups. Key terms: Illumina, Grail, vertical mergers, FTC merger guidelines, non-compete rule.
 Study Highlights:This perspective examines the US legal and regulatory landscape for human genetic and genomic technologies, focusing on FTC and DOJ policy changes and enforcement habits. Using a case-study approach centered on Illumina’s proposed acquisition and eventual divestiture of Grail, the authors review updated merger guidelines, non-compete rule developments, and exclusive-dealing concerns. They report that the 2023 merger guidelines lowered thresholds for presumed anti-competitiveness and that the FTC’s challenge emphasized risks to nascent mult-cancer early detection competitors that rely on next-generation sequencing platforms. The authors conclude that heightened vertical-merger scrutiny may reduce spin-offs and early-stage acquisitions, prompting firms to favor in-house R&D or alternate collaboration models.
 Conclusion:Heightened scrutiny of vertical mergers and attention to nascent competition in US antitrust policy is likely to reshape biotechnology strategies by reducing spin-offs and encouraging in-house development.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Competition in human genetic technologies: The current US legal landscape
 First author:Rashid AI
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.012
 DOI:10.1016/j.ajhg.2025.12.012
 Reference:Rashid AI, Rincon NA, Rihani N, Wagner JK. Competition in human genetic technologies: The current US legal landscape. The American Journal of Human Genetics. 2026;113:1–10. https://doi.org/10.1016/j.ajhg.2025.12.012
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/illumina-grail-vertical-mergers
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections that discuss antitrust policy landscape, the Illumina/Grail vertical merger case, regulatory instruments (HSR, Sherman, Clayton), NASCENT competition, spin-offs and IRS spin-off rules, non-compete status, and startup financing implications.- transcript topics: Illumina/Grail vertical merger case; Foreclosure theory in vertical mergers; Open offer and divestiture outcome; 2023 merger guidelines and vertical mergers; Nascent competition and spin-offs; IRS rules on corporate spin-offs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Illumina/Grail case as a vertical merger example with divestiture- Foreclosure as a potential anti-competitive mechanism in vertical mergers- 2023 merger gu...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[278: Illumina, Grail and FTC scrutiny of vertical mergers in human genetic technologies]]>
                </itunes:title>
                                    <itunes:episode>278</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Rashid AI et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.012 - US antitrust shifts in human genetic technologies: FTC scrutiny of Illumina’s acquisition of Grail alters NGS market oversight and could affect spin-offs and startups. Key terms: Illumina, Grail, vertical mergers, FTC merger guidelines, non-compete rule.</p>
<p> Study Highlights:<br />This perspective examines the US legal and regulatory landscape for human genetic and genomic technologies, focusing on FTC and DOJ policy changes and enforcement habits. Using a case-study approach centered on Illumina’s proposed acquisition and eventual divestiture of Grail, the authors review updated merger guidelines, non-compete rule developments, and exclusive-dealing concerns. They report that the 2023 merger guidelines lowered thresholds for presumed anti-competitiveness and that the FTC’s challenge emphasized risks to nascent mult-cancer early detection competitors that rely on next-generation sequencing platforms. The authors conclude that heightened vertical-merger scrutiny may reduce spin-offs and early-stage acquisitions, prompting firms to favor in-house R&amp;D or alternate collaboration models.</p>
<p> Conclusion:<br />Heightened scrutiny of vertical mergers and attention to nascent competition in US antitrust policy is likely to reshape biotechnology strategies by reducing spin-offs and encouraging in-house development.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Competition in human genetic technologies: The current US legal landscape</p>
<p> First author:<br />Rashid AI</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.012</p>
<p> DOI:<br />10.1016/j.ajhg.2025.12.012</p>
<p> Reference:<br />Rashid AI, Rincon NA, Rihani N, Wagner JK. Competition in human genetic technologies: The current US legal landscape. The American Journal of Human Genetics. 2026;113:1–10. https://doi.org/10.1016/j.ajhg.2025.12.012</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/illumina-grail-vertical-mergers</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections that discuss antitrust policy landscape, the Illumina/Grail vertical merger case, regulatory instruments (HSR, Sherman, Clayton), NASCENT competition, spin-offs and IRS spin-off rules, non-compete status, and startup financing implications.<br />- transcript topics: Illumina/Grail vertical merger case; Foreclosure theory in vertical mergers; Open offer and divestiture outcome; 2023 merger guidelines and vertical mergers; Nascent competition and spin-offs; IRS rules on corporate spin-offs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Illumina/Grail case as a vertical merger example with divestiture<br />- Foreclosure as a potential anti-competitive mechanism in vertical mergers<br />- 2023 merger guidelines lowered thresholds for presumed anti-competitiveness<br />- IRS spin-off rules tightened in January 2025 with stricter proof and reporting<br />- Non-compete regulation status: initial nationwide ban with subsequent rulings and continued case-by-case enforcement<br />- Startup financing pressures (kill zone) due to antitrust scrutiny and exit constraints</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Rashid AI et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.012 - US antitrust shifts in human genetic technologies: FTC scrutiny of Illumina’s acquisition of Grail alters NGS market oversight and could affect spin-offs and startups. Key terms: Illumina, Grail, vertical mergers, FTC merger guidelines, non-compete rule.
 Study Highlights:This perspective examines the US legal and regulatory landscape for human genetic and genomic technologies, focusing on FTC and DOJ policy changes and enforcement habits. Using a case-study approach centered on Illumina’s proposed acquisition and eventual divestiture of Grail, the authors review updated merger guidelines, non-compete rule developments, and exclusive-dealing concerns. They report that the 2023 merger guidelines lowered thresholds for presumed anti-competitiveness and that the FTC’s challenge emphasized risks to nascent mult-cancer early detection competitors that rely on next-generation sequencing platforms. The authors conclude that heightened vertical-merger scrutiny may reduce spin-offs and early-stage acquisitions, prompting firms to favor in-house R&D or alternate collaboration models.
 Conclusion:Heightened scrutiny of vertical mergers and attention to nascent competition in US antitrust policy is likely to reshape biotechnology strategies by reducing spin-offs and encouraging in-house development.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Competition in human genetic technologies: The current US legal landscape
 First author:Rashid AI
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.012
 DOI:10.1016/j.ajhg.2025.12.012
 Reference:Rashid AI, Rincon NA, Rihani N, Wagner JK. Competition in human genetic technologies: The current US legal landscape. The American Journal of Human Genetics. 2026;113:1–10. https://doi.org/10.1016/j.ajhg.2025.12.012
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/illumina-grail-vertical-mergers
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections that discuss antitrust policy landscape, the Illumina/Grail vertical merger case, regulatory instruments (HSR, Sherman, Clayton), NASCENT competition, spin-offs and IRS spin-off rules, non-compete status, and startup financing implications.- transcript topics: Illumina/Grail vertical merger case; Foreclosure theory in vertical mergers; Open offer and divestiture outcome; 2023 merger guidelines and vertical mergers; Nascent competition and spin-offs; IRS rules on corporate spin-offs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Illumina/Grail case as a vertical merger example with divestiture- Foreclosure as a potential anti-competitive mechanism in vertical mergers- 2023 merger gu...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2345641/c1a-p6xp7-ww4m119wi67n-vezbsc.png"></itunes:image>
                                                                            <itunes:duration>00:19:06</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[277: MDGA2 homozygous loss-of-function variants in developmental and epileptic encephalopathy]]>
                </title>
                <pubDate>Sun, 01 Feb 2026 21:49:52 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2345371</guid>
                                    <link>https://basebybase.castos.com/episodes/mdga2-loss-of-function-dee</link>
                                <description>
                                            <![CDATA[<p>Morsy H et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.015 - Exome sequencing identifies homozygous MDGA2 loss-of-function variants in nine individuals and functional neuronal assays show impaired MDGA2 trafficking with disrupted Nlgn1-dependent excitatory synapse regulation causing DEE. Key terms: MDGA2, developmental and epileptic encephalopathy, loss-of-function, neuroligin-1, exome sequencing.</p>
<p> Study Highlights:<br />Exome sequencing of consanguineous families identified seven distinct homozygous MDGA2 loss-of-function variants in nine individuals with severe developmental and epileptic encephalopathy. Functional evaluation used mammalian expression in HEK293T cells, heterologous synapse-formation assays, cultured hippocampal neurons, and electrophysiology. Representative nonsense variants abolished MDGA2 surface trafficking, disrupted MDGA2–Nlgn1 binding, failed to suppress excitatory synapse density, and did not reduce AMPAR- and NMDAR-mediated synaptic responses. These synaptic deficits imply disruption of excitatory-inhibitory balance, providing a mechanistic link to early-onset intractable seizures and progressive neurodevelopmental impairment.</p>
<p> Conclusion:<br />Homozygous MDGA2 loss-of-function variants cause an autosomal-recessive developmental and epileptic encephalopathy by impairing MDGA2 trafficking and Nlgn1-dependent suppression of excitatory synapses.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />MDGA2 homozygous loss-of-function variants cause developmental and epileptic encephalopathy</p>
<p> First author:<br />Morsy H</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.015</p>
<p> DOI:<br />10.1016/j.ajhg.2025.12.015</p>
<p> Reference:<br />Morsy H, Kim H, Jang G, et al. MDGA2 homozygous loss-of-function variants cause developmental and epileptic encephalopathy. The American Journal of Human Genetics. 2026;113:1–12. https://doi.org/10.1016/j.ajhg.2025.12.015</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mdga2-loss-of-function-dee</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-01.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audit covered the sections describing MDGA2 function in synaptic regulation, genetic basis (LoF variants in consanguineous families), functional assays (trafficking, Nlgn1 interactions, synapse formation, electrophysiology), clinical phenotype (DEE with seizures), and therapeutic angles (ketogenic diet, potential recep<br />- transcript topics: MDGA2 as a brake on Nlgn1 and suppression of excitatory synapses; Genetic basis: homozygous loss-of-function MDGA2 variants in consanguineous families; Functional validation: trafficking and surface expression of MDGA2; Nlgn1 interaction; Synapse formation and electrophysiology: mEPSCs, AMPAR/NMDAR EPSCs; Clinical presentation: DEE phenotype, hypotonia, seizures, dysmorphic features, MRI findings; Therapeutic angles: ketogenic diet effects; potential TRKB/AMPA receptor–related targets</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />-...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Morsy H et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.015 - Exome sequencing identifies homozygous MDGA2 loss-of-function variants in nine individuals and functional neuronal assays show impaired MDGA2 trafficking with disrupted Nlgn1-dependent excitatory synapse regulation causing DEE. Key terms: MDGA2, developmental and epileptic encephalopathy, loss-of-function, neuroligin-1, exome sequencing.
 Study Highlights:Exome sequencing of consanguineous families identified seven distinct homozygous MDGA2 loss-of-function variants in nine individuals with severe developmental and epileptic encephalopathy. Functional evaluation used mammalian expression in HEK293T cells, heterologous synapse-formation assays, cultured hippocampal neurons, and electrophysiology. Representative nonsense variants abolished MDGA2 surface trafficking, disrupted MDGA2–Nlgn1 binding, failed to suppress excitatory synapse density, and did not reduce AMPAR- and NMDAR-mediated synaptic responses. These synaptic deficits imply disruption of excitatory-inhibitory balance, providing a mechanistic link to early-onset intractable seizures and progressive neurodevelopmental impairment.
 Conclusion:Homozygous MDGA2 loss-of-function variants cause an autosomal-recessive developmental and epileptic encephalopathy by impairing MDGA2 trafficking and Nlgn1-dependent suppression of excitatory synapses.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:MDGA2 homozygous loss-of-function variants cause developmental and epileptic encephalopathy
 First author:Morsy H
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.015
 DOI:10.1016/j.ajhg.2025.12.015
 Reference:Morsy H, Kim H, Jang G, et al. MDGA2 homozygous loss-of-function variants cause developmental and epileptic encephalopathy. The American Journal of Human Genetics. 2026;113:1–12. https://doi.org/10.1016/j.ajhg.2025.12.015
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mdga2-loss-of-function-dee
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-01.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audit covered the sections describing MDGA2 function in synaptic regulation, genetic basis (LoF variants in consanguineous families), functional assays (trafficking, Nlgn1 interactions, synapse formation, electrophysiology), clinical phenotype (DEE with seizures), and therapeutic angles (ketogenic diet, potential recep- transcript topics: MDGA2 as a brake on Nlgn1 and suppression of excitatory synapses; Genetic basis: homozygous loss-of-function MDGA2 variants in consanguineous families; Functional validation: trafficking and surface expression of MDGA2; Nlgn1 interaction; Synapse formation and electrophysiology: mEPSCs, AMPAR/NMDAR EPSCs; Clinical presentation: DEE phenotype, hypotonia, seizures, dysmorphic features, MRI findings; Therapeutic angles: ketogenic diet effects; potential TRKB/AMPA receptor–related targets
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4-...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[277: MDGA2 homozygous loss-of-function variants in developmental and epileptic encephalopathy]]>
                </itunes:title>
                                    <itunes:episode>277</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Morsy H et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.015 - Exome sequencing identifies homozygous MDGA2 loss-of-function variants in nine individuals and functional neuronal assays show impaired MDGA2 trafficking with disrupted Nlgn1-dependent excitatory synapse regulation causing DEE. Key terms: MDGA2, developmental and epileptic encephalopathy, loss-of-function, neuroligin-1, exome sequencing.</p>
<p> Study Highlights:<br />Exome sequencing of consanguineous families identified seven distinct homozygous MDGA2 loss-of-function variants in nine individuals with severe developmental and epileptic encephalopathy. Functional evaluation used mammalian expression in HEK293T cells, heterologous synapse-formation assays, cultured hippocampal neurons, and electrophysiology. Representative nonsense variants abolished MDGA2 surface trafficking, disrupted MDGA2–Nlgn1 binding, failed to suppress excitatory synapse density, and did not reduce AMPAR- and NMDAR-mediated synaptic responses. These synaptic deficits imply disruption of excitatory-inhibitory balance, providing a mechanistic link to early-onset intractable seizures and progressive neurodevelopmental impairment.</p>
<p> Conclusion:<br />Homozygous MDGA2 loss-of-function variants cause an autosomal-recessive developmental and epileptic encephalopathy by impairing MDGA2 trafficking and Nlgn1-dependent suppression of excitatory synapses.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />MDGA2 homozygous loss-of-function variants cause developmental and epileptic encephalopathy</p>
<p> First author:<br />Morsy H</p>
<p> Journal:<br />The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.015</p>
<p> DOI:<br />10.1016/j.ajhg.2025.12.015</p>
<p> Reference:<br />Morsy H, Kim H, Jang G, et al. MDGA2 homozygous loss-of-function variants cause developmental and epileptic encephalopathy. The American Journal of Human Genetics. 2026;113:1–12. https://doi.org/10.1016/j.ajhg.2025.12.015</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mdga2-loss-of-function-dee</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-01.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audit covered the sections describing MDGA2 function in synaptic regulation, genetic basis (LoF variants in consanguineous families), functional assays (trafficking, Nlgn1 interactions, synapse formation, electrophysiology), clinical phenotype (DEE with seizures), and therapeutic angles (ketogenic diet, potential recep<br />- transcript topics: MDGA2 as a brake on Nlgn1 and suppression of excitatory synapses; Genetic basis: homozygous loss-of-function MDGA2 variants in consanguineous families; Functional validation: trafficking and surface expression of MDGA2; Nlgn1 interaction; Synapse formation and electrophysiology: mEPSCs, AMPAR/NMDAR EPSCs; Clinical presentation: DEE phenotype, hypotonia, seizures, dysmorphic features, MRI findings; Therapeutic angles: ketogenic diet effects; potential TRKB/AMPA receptor–related targets</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MDGA2 homozygous loss-of-function variants identified in nine individuals from seven consanguineous families<br />- MDGA2 variants cause trafficking impairment and loss of surface expression with disrupted Nlgn1 interaction<br />- MDGA2 waives suppression of excitatory synapses in LoF variants; WT MDGA2 suppresses excitatory synapse numbers<br />- Electrophysiology shows MDGA2 WT reduces mEPSC frequency and AMPAR/NMDAR EPSCs; LoF variants fail to alter synaptic function<br />- DEE phenotype with early-onset seizures, severe developmental delay, dysmorphic features; brain MRI shows delayed myelination and early brain atrophy<br />- Ketogenic diet produced partial seizure control in two individuals (P4 and P5B)</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Morsy H et al., The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.015 - Exome sequencing identifies homozygous MDGA2 loss-of-function variants in nine individuals and functional neuronal assays show impaired MDGA2 trafficking with disrupted Nlgn1-dependent excitatory synapse regulation causing DEE. Key terms: MDGA2, developmental and epileptic encephalopathy, loss-of-function, neuroligin-1, exome sequencing.
 Study Highlights:Exome sequencing of consanguineous families identified seven distinct homozygous MDGA2 loss-of-function variants in nine individuals with severe developmental and epileptic encephalopathy. Functional evaluation used mammalian expression in HEK293T cells, heterologous synapse-formation assays, cultured hippocampal neurons, and electrophysiology. Representative nonsense variants abolished MDGA2 surface trafficking, disrupted MDGA2–Nlgn1 binding, failed to suppress excitatory synapse density, and did not reduce AMPAR- and NMDAR-mediated synaptic responses. These synaptic deficits imply disruption of excitatory-inhibitory balance, providing a mechanistic link to early-onset intractable seizures and progressive neurodevelopmental impairment.
 Conclusion:Homozygous MDGA2 loss-of-function variants cause an autosomal-recessive developmental and epileptic encephalopathy by impairing MDGA2 trafficking and Nlgn1-dependent suppression of excitatory synapses.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:MDGA2 homozygous loss-of-function variants cause developmental and epileptic encephalopathy
 First author:Morsy H
 Journal:The American Journal of Human Genetics, Corrected proof. doi:10.1016/j.ajhg.2025.12.015
 DOI:10.1016/j.ajhg.2025.12.015
 Reference:Morsy H, Kim H, Jang G, et al. MDGA2 homozygous loss-of-function variants cause developmental and epileptic encephalopathy. The American Journal of Human Genetics. 2026;113:1–12. https://doi.org/10.1016/j.ajhg.2025.12.015
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mdga2-loss-of-function-dee
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-02-01.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audit covered the sections describing MDGA2 function in synaptic regulation, genetic basis (LoF variants in consanguineous families), functional assays (trafficking, Nlgn1 interactions, synapse formation, electrophysiology), clinical phenotype (DEE with seizures), and therapeutic angles (ketogenic diet, potential recep- transcript topics: MDGA2 as a brake on Nlgn1 and suppression of excitatory synapses; Genetic basis: homozygous loss-of-function MDGA2 variants in consanguineous families; Functional validation: trafficking and surface expression of MDGA2; Nlgn1 interaction; Synapse formation and electrophysiology: mEPSCs, AMPAR/NMDAR EPSCs; Clinical presentation: DEE phenotype, hypotonia, seizures, dysmorphic features, MRI findings; Therapeutic angles: ketogenic diet effects; potential TRKB/AMPA receptor–related targets
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4-...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:18:27</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[276: AlphaGenome: 1-Mb multimodal deep model predicts regulatory variant effects including splicing and TAL1 mechanisms]]>
                </title>
                <pubDate>Fri, 30 Jan 2026 22:00:21 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2344799</guid>
                                    <link>https://basebybase.castos.com/episodes/alphagenome-regulatory-variant-prediction</link>
                                <description>
                                            <![CDATA[<p>Avsec et al., Nature, doi:10.1038/s41586-025-10014-0 - AlphaGenome, a 1 Mb DNA deep‑learning model, predicts base‑pair‑resolution genome tracks (RNA‑seq, splicing, chromatin) and scores variant effects, achieving state‑of‑the‑art performance across modalities. Key terms: AlphaGenome, splicing, eQTL, chromatin-accessibility, 1Mb-sequence.</p>
<p> Study Highlights:<br />AlphaGenome is a unified sequence‑to‑function deep learning model trained on human and mouse genomes that consumes 1 Mb of DNA and predicts 5,930 human genome tracks across 11 modalities using a U‑Net‑inspired encoder, transformer tower and decoder. The model was pretrained with fold splits and distilled into a single student model for efficient variant scoring, enabling base‑pair resolution outputs and splice junction prediction alongside splice site usage and RNA‑seq coverage. Quantitatively, AlphaGenome outperformed or matched external models on 22 of 24 genome track tasks and on 25 of 26 variant effect benchmarks, improving eQTL sign prediction and QTL effect correlations. The multimodal outputs enable mechanistic interpretation of variants, for example recapitulating oncogenic TAL1 enhancer mutations and identifying splice‑disrupting variants.</p>
<p> Conclusion:<br />AlphaGenome provides a unified 1‑Mb multimodal, base‑resolution sequence model that substantially improves genome track and regulatory variant effect prediction and enables mechanistic, cross‑modality interpretation.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions presenting AlphaGenome architecture, multimodal outputs, benchmarking, splicing, TAL1 mechanism, 3D genome, in silico mutagenesis, and limitations.<br />- transcript topics: AlphaGenome architecture (1 Mb input, U‑Net backbone, transformers, sequence parallelism); Multimodal genome tracks (5,930 human tracks, 1,128 mouse tracks across 11 modalities); Variant effect benchmarking (26 tasks; 25/26 ahead); Splicing variant predictions (splice sites, splice junctions, usage); TAL1 oncogene mechanism (neo-enhancer, MYB motif); 3D genome contact maps predictions</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- AlphaGenome takes input of 1 Mb DNA and predicts thousands of genome tracks across 11 modalities at base-pair resolution<br />- 5,930 human genome tracks and 1,128 mouse genome tracks predicted<br />- AlphaGenome matched or outperformed strongest external models on 25 of 26 variant-effect benchmarks<br />- Splicing variant predictions include splice sites, splice junctions, and splice site usage<br />- TAL1 oncogene mechanism recapitulated via a neo-enhancer and MYB motif<br />- 3D genome folding predicted via contact maps with improved performance over specialized tools</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Avsec et al., Nature, doi:10.1038/s41586-025-10014-0 - AlphaGenome, a 1 Mb DNA deep‑learning model, predicts base‑pair‑resolution genome tracks (RNA‑seq, splicing, chromatin) and scores variant effects, achieving state‑of‑the‑art performance across modalities. Key terms: AlphaGenome, splicing, eQTL, chromatin-accessibility, 1Mb-sequence.
 Study Highlights:AlphaGenome is a unified sequence‑to‑function deep learning model trained on human and mouse genomes that consumes 1 Mb of DNA and predicts 5,930 human genome tracks across 11 modalities using a U‑Net‑inspired encoder, transformer tower and decoder. The model was pretrained with fold splits and distilled into a single student model for efficient variant scoring, enabling base‑pair resolution outputs and splice junction prediction alongside splice site usage and RNA‑seq coverage. Quantitatively, AlphaGenome outperformed or matched external models on 22 of 24 genome track tasks and on 25 of 26 variant effect benchmarks, improving eQTL sign prediction and QTL effect correlations. The multimodal outputs enable mechanistic interpretation of variants, for example recapitulating oncogenic TAL1 enhancer mutations and identifying splice‑disrupting variants.
 Conclusion:AlphaGenome provides a unified 1‑Mb multimodal, base‑resolution sequence model that substantially improves genome track and regulatory variant effect prediction and enables mechanistic, cross‑modality interpretation.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions presenting AlphaGenome architecture, multimodal outputs, benchmarking, splicing, TAL1 mechanism, 3D genome, in silico mutagenesis, and limitations.- transcript topics: AlphaGenome architecture (1 Mb input, U‑Net backbone, transformers, sequence parallelism); Multimodal genome tracks (5,930 human tracks, 1,128 mouse tracks across 11 modalities); Variant effect benchmarking (26 tasks; 25/26 ahead); Splicing variant predictions (splice sites, splice junctions, usage); TAL1 oncogene mechanism (neo-enhancer, MYB motif); 3D genome contact maps predictions
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- AlphaGenome takes input of 1 Mb DNA and predicts thousands of genome tracks across 11 modalities at base-pair resolution- 5,930 human genome tracks and 1,128 mouse genome tracks predicted- AlphaGenome matched or outperformed strongest external models on 25 of 26 variant-effect benchmarks- Splicing variant predictions include splice sites, splice junctions, and splice site usage- TAL1 oncogene mechanism recapitulated via a neo-enhancer and MYB motif- 3D genome folding predicted via contact maps with improved performance over specialized tools
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[276: AlphaGenome: 1-Mb multimodal deep model predicts regulatory variant effects including splicing and TAL1 mechanisms]]>
                </itunes:title>
                                    <itunes:episode>276</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Avsec et al., Nature, doi:10.1038/s41586-025-10014-0 - AlphaGenome, a 1 Mb DNA deep‑learning model, predicts base‑pair‑resolution genome tracks (RNA‑seq, splicing, chromatin) and scores variant effects, achieving state‑of‑the‑art performance across modalities. Key terms: AlphaGenome, splicing, eQTL, chromatin-accessibility, 1Mb-sequence.</p>
<p> Study Highlights:<br />AlphaGenome is a unified sequence‑to‑function deep learning model trained on human and mouse genomes that consumes 1 Mb of DNA and predicts 5,930 human genome tracks across 11 modalities using a U‑Net‑inspired encoder, transformer tower and decoder. The model was pretrained with fold splits and distilled into a single student model for efficient variant scoring, enabling base‑pair resolution outputs and splice junction prediction alongside splice site usage and RNA‑seq coverage. Quantitatively, AlphaGenome outperformed or matched external models on 22 of 24 genome track tasks and on 25 of 26 variant effect benchmarks, improving eQTL sign prediction and QTL effect correlations. The multimodal outputs enable mechanistic interpretation of variants, for example recapitulating oncogenic TAL1 enhancer mutations and identifying splice‑disrupting variants.</p>
<p> Conclusion:<br />AlphaGenome provides a unified 1‑Mb multimodal, base‑resolution sequence model that substantially improves genome track and regulatory variant effect prediction and enables mechanistic, cross‑modality interpretation.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions presenting AlphaGenome architecture, multimodal outputs, benchmarking, splicing, TAL1 mechanism, 3D genome, in silico mutagenesis, and limitations.<br />- transcript topics: AlphaGenome architecture (1 Mb input, U‑Net backbone, transformers, sequence parallelism); Multimodal genome tracks (5,930 human tracks, 1,128 mouse tracks across 11 modalities); Variant effect benchmarking (26 tasks; 25/26 ahead); Splicing variant predictions (splice sites, splice junctions, usage); TAL1 oncogene mechanism (neo-enhancer, MYB motif); 3D genome contact maps predictions</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- AlphaGenome takes input of 1 Mb DNA and predicts thousands of genome tracks across 11 modalities at base-pair resolution<br />- 5,930 human genome tracks and 1,128 mouse genome tracks predicted<br />- AlphaGenome matched or outperformed strongest external models on 25 of 26 variant-effect benchmarks<br />- Splicing variant predictions include splice sites, splice junctions, and splice site usage<br />- TAL1 oncogene mechanism recapitulated via a neo-enhancer and MYB motif<br />- 3D genome folding predicted via contact maps with improved performance over specialized tools</p>
<p>QC result: Pass.</p>]]>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Avsec et al., Nature, doi:10.1038/s41586-025-10014-0 - AlphaGenome, a 1 Mb DNA deep‑learning model, predicts base‑pair‑resolution genome tracks (RNA‑seq, splicing, chromatin) and scores variant effects, achieving state‑of‑the‑art performance across modalities. Key terms: AlphaGenome, splicing, eQTL, chromatin-accessibility, 1Mb-sequence.
 Study Highlights:AlphaGenome is a unified sequence‑to‑function deep learning model trained on human and mouse genomes that consumes 1 Mb of DNA and predicts 5,930 human genome tracks across 11 modalities using a U‑Net‑inspired encoder, transformer tower and decoder. The model was pretrained with fold splits and distilled into a single student model for efficient variant scoring, enabling base‑pair resolution outputs and splice junction prediction alongside splice site usage and RNA‑seq coverage. Quantitatively, AlphaGenome outperformed or matched external models on 22 of 24 genome track tasks and on 25 of 26 variant effect benchmarks, improving eQTL sign prediction and QTL effect correlations. The multimodal outputs enable mechanistic interpretation of variants, for example recapitulating oncogenic TAL1 enhancer mutations and identifying splice‑disrupting variants.
 Conclusion:AlphaGenome provides a unified 1‑Mb multimodal, base‑resolution sequence model that substantially improves genome track and regulatory variant effect prediction and enables mechanistic, cross‑modality interpretation.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions presenting AlphaGenome architecture, multimodal outputs, benchmarking, splicing, TAL1 mechanism, 3D genome, in silico mutagenesis, and limitations.- transcript topics: AlphaGenome architecture (1 Mb input, U‑Net backbone, transformers, sequence parallelism); Multimodal genome tracks (5,930 human tracks, 1,128 mouse tracks across 11 modalities); Variant effect benchmarking (26 tasks; 25/26 ahead); Splicing variant predictions (splice sites, splice junctions, usage); TAL1 oncogene mechanism (neo-enhancer, MYB motif); 3D genome contact maps predictions
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- AlphaGenome takes input of 1 Mb DNA and predicts thousands of genome tracks across 11 modalities at base-pair resolution- 5,930 human genome tracks and 1,128 mouse genome tracks predicted- AlphaGenome matched or outperformed strongest external models on 25 of 26 variant-effect benchmarks- Splicing variant predictions include splice sites, splice junctions, and splice site usage- TAL1 oncogene mechanism recapitulated via a neo-enhancer and MYB motif- 3D genome folding predicted via contact maps with improved performance over specialized tools
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2344799/c1a-p6xp7-qdp499grsz6g-crljyb.png"></itunes:image>
                                                                            <itunes:duration>00:19:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[275: MIPseq/WES of 11,555 CHD probands implicates 60 dominant genes with NOTCH1 cysteine‑altering and transmitted MYH6 missense variants]]>
                </title>
                <pubDate>Fri, 30 Jan 2026 19:36:34 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2344758</guid>
                                    <link>https://basebybase.castos.com/episodes/notch1-myh6-chd-genes</link>
                                <description>
                                            <![CDATA[<p>Sierant MC et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2420343122 - MIPseq and exome sequencing of 11,555 human congenital heart disease probands implicate 60 dominant CHD genes, with NOTCH1 cysteine‑altering and transmitted MYH6 missense variants driving distinct defects. Key terms: congenital heart disease, NOTCH1, MYH6, MIPseq, de novo mutations.</p>
<p> Study Highlights:<br />We analyzed 11,555 human CHD probands from PCGC and PHN using a 248‑gene MIPseq panel and whole‑exome sequencing. A meta‑analysis of de novo and very rare transmitted/unphased damaging variants identified 60 genes with significant burden, accounting for damaging variants in 10.1% of probands with similar DNM and transmitted contributions. Mechanistically, NOTCH1 missense mutations that introduce or remove cysteines in EGF domains were highly enriched in tetralogy of Fallot and conotruncal defects, while transmitted damaging MYH6 missense variants were overtransmitted and contributed to multiple CHD subtypes. Genes with cardiomyocyte‑restricted expression correlated with isolated CHD, whereas broadly brain‑expressed genes correlated with neurodevelopmental delay, supporting genotype‑informed risk assessment.</p>
<p> Conclusion:<br />Targeted genomic analysis of 11,555 CHD probands identifies 60 dominant genes accounting for 10.1% of cases and supports molecular diagnosis to stratify cardiac and neurodevelopmental risk.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the study design (MIPseq), cohort composition, main genetic findings (60 genes, 10.1%), NOTCH1 cysteine-altering variants, MYH6 transmission findings, chromatin gene involvement, syndromic diagnoses, and cost reductions and future gene discovery projections.<br />- transcript topics: MIPseq methodology and cost reduction; Cohort assembly and the 248-gene panel; 60 significant CHD genes and 10.1% probands; NOTCH1 cysteine-altering variants in TOF/CTD (EGF domains, domain #5); MYH6 transmitted damaging variants and penetrance; Chromatin modifier genes and neurodevelopmental/EC phenotypes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Study analyzed 11,555 CHD probands with a 248-gene MIPseq panel.<br />- 60 genes identified with significant burden of damaging variants; 10.1% of probands affected.<br />- Equal contributions from de novo and transmitted variants to CHD risk within the 60-gene set.<br />- NOTCH1 missense variants introducing/removing cysteines in EGF domains are enriched in TOF and CTD; cysteine-altering variants cluster in EGF domain #5.<br />- Transmitted damaging MYH6 missense variants enriched across multiple CHD phenotypes; risk ratio ~6; 2–3% of probands; ~1% of all trios.<br />- MYH6 is heart-restricted in expression; NDD risk among MYH6 carriers is low (~4%).</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:20) - Deadly heart defect: The genetics of congenital heart disease</li><li>(00:03:05) - How 60 genes explain the cause of heart defect</li><li>(00:07:03) - Heart defects and neurodevelopmental delay</li><li>(00:10:24) - These are the hidden syndromes</li><li>(00:14:21) - Dazzling Sound</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sierant MC et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2420343122 - MIPseq and exome sequencing of 11,555 human congenital heart disease probands implicate 60 dominant CHD genes, with NOTCH1 cysteine‑altering and transmitted MYH6 missense variants driving distinct defects. Key terms: congenital heart disease, NOTCH1, MYH6, MIPseq, de novo mutations.
 Study Highlights:We analyzed 11,555 human CHD probands from PCGC and PHN using a 248‑gene MIPseq panel and whole‑exome sequencing. A meta‑analysis of de novo and very rare transmitted/unphased damaging variants identified 60 genes with significant burden, accounting for damaging variants in 10.1% of probands with similar DNM and transmitted contributions. Mechanistically, NOTCH1 missense mutations that introduce or remove cysteines in EGF domains were highly enriched in tetralogy of Fallot and conotruncal defects, while transmitted damaging MYH6 missense variants were overtransmitted and contributed to multiple CHD subtypes. Genes with cardiomyocyte‑restricted expression correlated with isolated CHD, whereas broadly brain‑expressed genes correlated with neurodevelopmental delay, supporting genotype‑informed risk assessment.
 Conclusion:Targeted genomic analysis of 11,555 CHD probands identifies 60 dominant genes accounting for 10.1% of cases and supports molecular diagnosis to stratify cardiac and neurodevelopmental risk.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the study design (MIPseq), cohort composition, main genetic findings (60 genes, 10.1%), NOTCH1 cysteine-altering variants, MYH6 transmission findings, chromatin gene involvement, syndromic diagnoses, and cost reductions and future gene discovery projections.- transcript topics: MIPseq methodology and cost reduction; Cohort assembly and the 248-gene panel; 60 significant CHD genes and 10.1% probands; NOTCH1 cysteine-altering variants in TOF/CTD (EGF domains, domain #5); MYH6 transmitted damaging variants and penetrance; Chromatin modifier genes and neurodevelopmental/EC phenotypes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Study analyzed 11,555 CHD probands with a 248-gene MIPseq panel.- 60 genes identified with significant burden of damaging variants; 10.1% of probands affected.- Equal contributions from de novo and transmitted variants to CHD risk within the 60-gene set.- NOTCH1 missense variants introducing/removing cysteines in EGF domains are enriched in TOF and CTD; cysteine-altering variants cluster in EGF domain #5.- Transmitted damaging MYH6 missense variants enriched across multiple CHD phenotypes; risk ratio ~6; 2–3% of probands; ~1% of all trios.- MYH6 is heart-restricted in expression; NDD risk among MYH6 carriers is low (~4%).
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[275: MIPseq/WES of 11,555 CHD probands implicates 60 dominant genes with NOTCH1 cysteine‑altering and transmitted MYH6 missense variants]]>
                </itunes:title>
                                    <itunes:episode>275</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sierant MC et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2420343122 - MIPseq and exome sequencing of 11,555 human congenital heart disease probands implicate 60 dominant CHD genes, with NOTCH1 cysteine‑altering and transmitted MYH6 missense variants driving distinct defects. Key terms: congenital heart disease, NOTCH1, MYH6, MIPseq, de novo mutations.</p>
<p> Study Highlights:<br />We analyzed 11,555 human CHD probands from PCGC and PHN using a 248‑gene MIPseq panel and whole‑exome sequencing. A meta‑analysis of de novo and very rare transmitted/unphased damaging variants identified 60 genes with significant burden, accounting for damaging variants in 10.1% of probands with similar DNM and transmitted contributions. Mechanistically, NOTCH1 missense mutations that introduce or remove cysteines in EGF domains were highly enriched in tetralogy of Fallot and conotruncal defects, while transmitted damaging MYH6 missense variants were overtransmitted and contributed to multiple CHD subtypes. Genes with cardiomyocyte‑restricted expression correlated with isolated CHD, whereas broadly brain‑expressed genes correlated with neurodevelopmental delay, supporting genotype‑informed risk assessment.</p>
<p> Conclusion:<br />Targeted genomic analysis of 11,555 CHD probands identifies 60 dominant genes accounting for 10.1% of cases and supports molecular diagnosis to stratify cardiac and neurodevelopmental risk.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the study design (MIPseq), cohort composition, main genetic findings (60 genes, 10.1%), NOTCH1 cysteine-altering variants, MYH6 transmission findings, chromatin gene involvement, syndromic diagnoses, and cost reductions and future gene discovery projections.<br />- transcript topics: MIPseq methodology and cost reduction; Cohort assembly and the 248-gene panel; 60 significant CHD genes and 10.1% probands; NOTCH1 cysteine-altering variants in TOF/CTD (EGF domains, domain #5); MYH6 transmitted damaging variants and penetrance; Chromatin modifier genes and neurodevelopmental/EC phenotypes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Study analyzed 11,555 CHD probands with a 248-gene MIPseq panel.<br />- 60 genes identified with significant burden of damaging variants; 10.1% of probands affected.<br />- Equal contributions from de novo and transmitted variants to CHD risk within the 60-gene set.<br />- NOTCH1 missense variants introducing/removing cysteines in EGF domains are enriched in TOF and CTD; cysteine-altering variants cluster in EGF domain #5.<br />- Transmitted damaging MYH6 missense variants enriched across multiple CHD phenotypes; risk ratio ~6; 2–3% of probands; ~1% of all trios.<br />- MYH6 is heart-restricted in expression; NDD risk among MYH6 carriers is low (~4%).</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Sierant MC et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2420343122 - MIPseq and exome sequencing of 11,555 human congenital heart disease probands implicate 60 dominant CHD genes, with NOTCH1 cysteine‑altering and transmitted MYH6 missense variants driving distinct defects. Key terms: congenital heart disease, NOTCH1, MYH6, MIPseq, de novo mutations.
 Study Highlights:We analyzed 11,555 human CHD probands from PCGC and PHN using a 248‑gene MIPseq panel and whole‑exome sequencing. A meta‑analysis of de novo and very rare transmitted/unphased damaging variants identified 60 genes with significant burden, accounting for damaging variants in 10.1% of probands with similar DNM and transmitted contributions. Mechanistically, NOTCH1 missense mutations that introduce or remove cysteines in EGF domains were highly enriched in tetralogy of Fallot and conotruncal defects, while transmitted damaging MYH6 missense variants were overtransmitted and contributed to multiple CHD subtypes. Genes with cardiomyocyte‑restricted expression correlated with isolated CHD, whereas broadly brain‑expressed genes correlated with neurodevelopmental delay, supporting genotype‑informed risk assessment.
 Conclusion:Targeted genomic analysis of 11,555 CHD probands identifies 60 dominant genes accounting for 10.1% of cases and supports molecular diagnosis to stratify cardiac and neurodevelopmental risk.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the study design (MIPseq), cohort composition, main genetic findings (60 genes, 10.1%), NOTCH1 cysteine-altering variants, MYH6 transmission findings, chromatin gene involvement, syndromic diagnoses, and cost reductions and future gene discovery projections.- transcript topics: MIPseq methodology and cost reduction; Cohort assembly and the 248-gene panel; 60 significant CHD genes and 10.1% probands; NOTCH1 cysteine-altering variants in TOF/CTD (EGF domains, domain #5); MYH6 transmitted damaging variants and penetrance; Chromatin modifier genes and neurodevelopmental/EC phenotypes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Study analyzed 11,555 CHD probands with a 248-gene MIPseq panel.- 60 genes identified with significant burden of damaging variants; 10.1% of probands affected.- Equal contributions from de novo and transmitted variants to CHD risk within the 60-gene set.- NOTCH1 missense variants introducing/removing cysteines in EGF domains are enriched in TOF and CTD; cysteine-altering variants cluster in EGF domain #5.- Transmitted damaging MYH6 missense variants enriched across multiple CHD phenotypes; risk ratio ~6; 2–3% of probands; ~1% of all trios.- MYH6 is heart-restricted in expression; NDD risk among MYH6 carriers is low (~4%).
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2344758/c1a-p6xp7-z319vvwvu89z-ft6hha.png"></itunes:image>
                                                                            <itunes:duration>00:19:55</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2344758/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[274: RPE MCT2: A metabolic gene-agnostic approach to preserve cones in RP]]>
                </title>
                <pubDate>Thu, 29 Jan 2026 06:02:37 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2342303</guid>
                                    <link>https://basebybase.castos.com/episodes/rpe-mct2-cone-survival-rp</link>
                                <description>
                                            <![CDATA[<p>PNAS - RPE-specific MCT2 gene delivery preserves cones and vision in retinitis pigmentosa models</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />RPE-specific MCT2 expression promotes cone survival in models of retinitis pigmentosa</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2421978122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-29.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering: metabolic mechanism (RPE lactate uptake via MCT2 and glucose sparing), vector design (AAV8.Best1.MCT2), RP animal models and cone survival/function outcomes, FLIM-based lactate/glucose sensors (LiLac, GlucoSnFR-TS), MCT2 localization to apical/basal RPE membranes, observed species-<br />- transcript topics: RPE-specific MCT2 metabolic reprogramming; Retina metabolism: lactate, glucose, and NAD+ dynamics in RP; AAV8.Best1.MCT2 vector design and RPE specificity; RP models: S334ter rat, FVB mouse, P23H mouse; Cone survival and functional outcomes (cone counts and optomotor assay); FLIM-based lactate and glucose sensors (LiLac, GlucoSnFR-TS)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 8/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 3<br />- metadata issues found: 1</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- RPE-specific MCT2 expression increases cone survival across RP models (rat S334ter; mouse FVB and P23H).<br />- MCT2 expression transiently preserves cone function in P23H mice (optomotor results at P40; diminished by P53).<br />- MCT2 localizes to apical and basal membranes of the RPE after AAV delivery.<br />- FLIM sensors show higher intracellular lactate and greater glucose accumulation in MCT2-expressing RPE, consistent with reduced glycolysis and glucose sparing for cones.<br />- Three RP mutations/models tested support a gene-agnostic approach.<br />- Toxicity observed in mice but not rats; potential translational bottleneck due to species-specific responses.</p>
<p>QC Flagged Items (audited and not fully supported):<br />- license: metadata does not match the canonical article record. License naming differs between metadata snapshot and article description; both refer to CC BY variants.<br />Internal QC note: manual editorial review is recommended before publication.</p>
<p>QC result: Warning. Items above were flagged during automated QC; the editorial team reviewed them before release.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Blending Genomics Into Your Life</li><li>(00:00:28) - The starvation of RPE</li><li>(00:02:48) - New science in retinal degeneration</li><li>(00:03:56) - Gene therapy to save the retina</li><li>(00:08:04) - Pigmented eyes to help sight?</li><li>(00:10:25) - Genetics fixes blindness in mice</li><li>(00:13:47) - A New way to save the brain</li><li>(00:14:36) - Open the Gate, Let the Sugar Run</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[PNAS - RPE-specific MCT2 gene delivery preserves cones and vision in retinitis pigmentosa models
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:RPE-specific MCT2 expression promotes cone survival in models of retinitis pigmentosa
 Journal:PNAS
 DOI:10.1073/pnas.2421978122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-29.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering: metabolic mechanism (RPE lactate uptake via MCT2 and glucose sparing), vector design (AAV8.Best1.MCT2), RP animal models and cone survival/function outcomes, FLIM-based lactate/glucose sensors (LiLac, GlucoSnFR-TS), MCT2 localization to apical/basal RPE membranes, observed species-- transcript topics: RPE-specific MCT2 metabolic reprogramming; Retina metabolism: lactate, glucose, and NAD+ dynamics in RP; AAV8.Best1.MCT2 vector design and RPE specificity; RP models: S334ter rat, FVB mouse, P23H mouse; Cone survival and functional outcomes (cone counts and optomotor assay); FLIM-based lactate and glucose sensors (LiLac, GlucoSnFR-TS)
QC Summary:- factual score: 10/10- metadata score: 8/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 3- metadata issues found: 1
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- RPE-specific MCT2 expression increases cone survival across RP models (rat S334ter; mouse FVB and P23H).- MCT2 expression transiently preserves cone function in P23H mice (optomotor results at P40; diminished by P53).- MCT2 localizes to apical and basal membranes of the RPE after AAV delivery.- FLIM sensors show higher intracellular lactate and greater glucose accumulation in MCT2-expressing RPE, consistent with reduced glycolysis and glucose sparing for cones.- Three RP mutations/models tested support a gene-agnostic approach.- Toxicity observed in mice but not rats; potential translational bottleneck due to species-specific responses.
QC Flagged Items (audited and not fully supported):- license: metadata does not match the canonical article record. License naming differs between metadata snapshot and article description; both refer to CC BY variants.Internal QC note: manual editorial review is recommended before publication.
QC result: Warning. Items above were flagged during automated QC; the editorial team reviewed them before release.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[274: RPE MCT2: A metabolic gene-agnostic approach to preserve cones in RP]]>
                </itunes:title>
                                    <itunes:episode>274</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>PNAS - RPE-specific MCT2 gene delivery preserves cones and vision in retinitis pigmentosa models</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />RPE-specific MCT2 expression promotes cone survival in models of retinitis pigmentosa</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2421978122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-29.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering: metabolic mechanism (RPE lactate uptake via MCT2 and glucose sparing), vector design (AAV8.Best1.MCT2), RP animal models and cone survival/function outcomes, FLIM-based lactate/glucose sensors (LiLac, GlucoSnFR-TS), MCT2 localization to apical/basal RPE membranes, observed species-<br />- transcript topics: RPE-specific MCT2 metabolic reprogramming; Retina metabolism: lactate, glucose, and NAD+ dynamics in RP; AAV8.Best1.MCT2 vector design and RPE specificity; RP models: S334ter rat, FVB mouse, P23H mouse; Cone survival and functional outcomes (cone counts and optomotor assay); FLIM-based lactate and glucose sensors (LiLac, GlucoSnFR-TS)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 8/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 3<br />- metadata issues found: 1</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- RPE-specific MCT2 expression increases cone survival across RP models (rat S334ter; mouse FVB and P23H).<br />- MCT2 expression transiently preserves cone function in P23H mice (optomotor results at P40; diminished by P53).<br />- MCT2 localizes to apical and basal membranes of the RPE after AAV delivery.<br />- FLIM sensors show higher intracellular lactate and greater glucose accumulation in MCT2-expressing RPE, consistent with reduced glycolysis and glucose sparing for cones.<br />- Three RP mutations/models tested support a gene-agnostic approach.<br />- Toxicity observed in mice but not rats; potential translational bottleneck due to species-specific responses.</p>
<p>QC Flagged Items (audited and not fully supported):<br />- license: metadata does not match the canonical article record. License naming differs between metadata snapshot and article description; both refer to CC BY variants.<br />Internal QC note: manual editorial review is recommended before publication.</p>
<p>QC result: Warning. Items above were flagged during automated QC; the editorial team reviewed them before release.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[PNAS - RPE-specific MCT2 gene delivery preserves cones and vision in retinitis pigmentosa models
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:RPE-specific MCT2 expression promotes cone survival in models of retinitis pigmentosa
 Journal:PNAS
 DOI:10.1073/pnas.2421978122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-29.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering: metabolic mechanism (RPE lactate uptake via MCT2 and glucose sparing), vector design (AAV8.Best1.MCT2), RP animal models and cone survival/function outcomes, FLIM-based lactate/glucose sensors (LiLac, GlucoSnFR-TS), MCT2 localization to apical/basal RPE membranes, observed species-- transcript topics: RPE-specific MCT2 metabolic reprogramming; Retina metabolism: lactate, glucose, and NAD+ dynamics in RP; AAV8.Best1.MCT2 vector design and RPE specificity; RP models: S334ter rat, FVB mouse, P23H mouse; Cone survival and functional outcomes (cone counts and optomotor assay); FLIM-based lactate and glucose sensors (LiLac, GlucoSnFR-TS)
QC Summary:- factual score: 10/10- metadata score: 8/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 3- metadata issues found: 1
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- RPE-specific MCT2 expression increases cone survival across RP models (rat S334ter; mouse FVB and P23H).- MCT2 expression transiently preserves cone function in P23H mice (optomotor results at P40; diminished by P53).- MCT2 localizes to apical and basal membranes of the RPE after AAV delivery.- FLIM sensors show higher intracellular lactate and greater glucose accumulation in MCT2-expressing RPE, consistent with reduced glycolysis and glucose sparing for cones.- Three RP mutations/models tested support a gene-agnostic approach.- Toxicity observed in mice but not rats; potential translational bottleneck due to species-specific responses.
QC Flagged Items (audited and not fully supported):- license: metadata does not match the canonical article record. License naming differs between metadata snapshot and article description; both refer to CC BY variants.Internal QC note: manual editorial review is recommended before publication.
QC result: Warning. Items above were flagged during automated QC; the editorial team reviewed them before release.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2342303/c1a-p6xp7-0v02zzx1td3n-uzumqe.png"></itunes:image>
                                                                            <itunes:duration>00:22:16</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2342303/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[273: CTVT-A acquires 15-Mb N-HT1 dicentric nuclear element via horizontal transfer]]>
                </title>
                <pubDate>Wed, 28 Jan 2026 06:26:55 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2341518</guid>
                                    <link>https://basebybase.castos.com/episodes/ctvt-n-ht1-horizontal-transfer</link>
                                <description>
                                            <![CDATA[<p>Gori K et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2424634122 - In canine transmissible venereal tumor (CTVT), deep sequencing and cytogenetics identify a 15‑Mb horizontally transferred nuclear element (N-HT1) acquired ~2,000 years ago that is transcriptionally active. Key terms: CTVT, horizontal gene transfer, N-HT1, PacBio long-read sequencing, centromeric fusion.</p>
<p> Study Highlights:<br />The authors screened 174 transmissible tumor genomes, focusing on CTVT, DFT1, and DFT2, using deep short-read sequencing, long-read PacBio sequencing, structural variant analysis, and metaphase FISH. In CTVT-A they discovered a 15-Mb dicentric element (N-HT1) assembled from 11 fragments of six chromosomes that forms the short arm of a small submetacentric chromosome after centromeric fusion. Mutation density and CpG-based dating place N-HT1 acquisition about 2,000 years ago, and transcriptome allele deconvolution shows N-HT1 is transcriptionally active and adopts the CTVT expression profile. Functional interrogation found no clear oncogenic drivers on N-HT1, with at least one rescued gene (ARFGEF3) later inactivated, consistent with the element behaving as a likely neutral passenger.</p>
<p> Conclusion:<br />A single host-to-tumor nuclear horizontal transfer event was detected in sampled transmissible cancers: CTVT-A acquired a 15-Mb N-HT1 element that is transcriptionally active but shows no clear evidence of positive selection.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific claims presented about N-HT1: its structure, origin, timing, transcriptional activity, and evolutionary implications, as described in the article.<br />- transcript topics: CTVT background and transmissible cancers; SNP flipping screen to detect host-to-tumor nuclear transfer; Discovery and structure of N-HT1 (15 Mb, 11 fragments, from 6 chromosomes); Cytogenetics and centromeric fusion of N-HT1 onto a CTVT chromosome; Timing: acquisition ~2000 years ago and donor ancestry; Gene expression and functional impact (ARFGEF3 rescue)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- N-HT1 is a 15-Mb horizontally transferred nuclear DNA element composed of 11 fragments from six canine chromosomes<br />- N-HT1 forms the short arm of a small submetacentric chromosome via centromeric fusion onto a CTVT chromosome<br />- N-HT1 was acquired by CTVT-A approximately 2,000 years ago<br />- N-HT1 is transcriptionally active and adopts the CTVT expression profile<br />- There is no clear evidence of positive selection acting on N-HT1 within CTVT-A<br />- ARFGEF3 was rescued from a null state by N-HT1 but was subsequently inactivated again</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Blast by Bass</li><li>(00:00:29) - Cancer Has Stealing DNA From Your Body</li><li>(00:02:41) - Horizontal Transfer of nuclear DNA in transmissible cancer</li><li>(00:07:24) - The ghost of a dog's genome</li><li>(00:11:55) - Transmissible DNA in human cancer</li><li>(00:14:08) - Step, Step, Close Hold</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Gori K et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2424634122 - In canine transmissible venereal tumor (CTVT), deep sequencing and cytogenetics identify a 15‑Mb horizontally transferred nuclear element (N-HT1) acquired ~2,000 years ago that is transcriptionally active. Key terms: CTVT, horizontal gene transfer, N-HT1, PacBio long-read sequencing, centromeric fusion.
 Study Highlights:The authors screened 174 transmissible tumor genomes, focusing on CTVT, DFT1, and DFT2, using deep short-read sequencing, long-read PacBio sequencing, structural variant analysis, and metaphase FISH. In CTVT-A they discovered a 15-Mb dicentric element (N-HT1) assembled from 11 fragments of six chromosomes that forms the short arm of a small submetacentric chromosome after centromeric fusion. Mutation density and CpG-based dating place N-HT1 acquisition about 2,000 years ago, and transcriptome allele deconvolution shows N-HT1 is transcriptionally active and adopts the CTVT expression profile. Functional interrogation found no clear oncogenic drivers on N-HT1, with at least one rescued gene (ARFGEF3) later inactivated, consistent with the element behaving as a likely neutral passenger.
 Conclusion:A single host-to-tumor nuclear horizontal transfer event was detected in sampled transmissible cancers: CTVT-A acquired a 15-Mb N-HT1 element that is transcriptionally active but shows no clear evidence of positive selection.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific claims presented about N-HT1: its structure, origin, timing, transcriptional activity, and evolutionary implications, as described in the article.- transcript topics: CTVT background and transmissible cancers; SNP flipping screen to detect host-to-tumor nuclear transfer; Discovery and structure of N-HT1 (15 Mb, 11 fragments, from 6 chromosomes); Cytogenetics and centromeric fusion of N-HT1 onto a CTVT chromosome; Timing: acquisition ~2000 years ago and donor ancestry; Gene expression and functional impact (ARFGEF3 rescue)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- N-HT1 is a 15-Mb horizontally transferred nuclear DNA element composed of 11 fragments from six canine chromosomes- N-HT1 forms the short arm of a small submetacentric chromosome via centromeric fusion onto a CTVT chromosome- N-HT1 was acquired by CTVT-A approximately 2,000 years ago- N-HT1 is transcriptionally active and adopts the CTVT expression profile- There is no clear evidence of positive selection acting on N-HT1 within CTVT-A- ARFGEF3 was rescued from a null state by N-HT1 but was subsequently inactivated again
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[273: CTVT-A acquires 15-Mb N-HT1 dicentric nuclear element via horizontal transfer]]>
                </itunes:title>
                                    <itunes:episode>273</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Gori K et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2424634122 - In canine transmissible venereal tumor (CTVT), deep sequencing and cytogenetics identify a 15‑Mb horizontally transferred nuclear element (N-HT1) acquired ~2,000 years ago that is transcriptionally active. Key terms: CTVT, horizontal gene transfer, N-HT1, PacBio long-read sequencing, centromeric fusion.</p>
<p> Study Highlights:<br />The authors screened 174 transmissible tumor genomes, focusing on CTVT, DFT1, and DFT2, using deep short-read sequencing, long-read PacBio sequencing, structural variant analysis, and metaphase FISH. In CTVT-A they discovered a 15-Mb dicentric element (N-HT1) assembled from 11 fragments of six chromosomes that forms the short arm of a small submetacentric chromosome after centromeric fusion. Mutation density and CpG-based dating place N-HT1 acquisition about 2,000 years ago, and transcriptome allele deconvolution shows N-HT1 is transcriptionally active and adopts the CTVT expression profile. Functional interrogation found no clear oncogenic drivers on N-HT1, with at least one rescued gene (ARFGEF3) later inactivated, consistent with the element behaving as a likely neutral passenger.</p>
<p> Conclusion:<br />A single host-to-tumor nuclear horizontal transfer event was detected in sampled transmissible cancers: CTVT-A acquired a 15-Mb N-HT1 element that is transcriptionally active but shows no clear evidence of positive selection.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific claims presented about N-HT1: its structure, origin, timing, transcriptional activity, and evolutionary implications, as described in the article.<br />- transcript topics: CTVT background and transmissible cancers; SNP flipping screen to detect host-to-tumor nuclear transfer; Discovery and structure of N-HT1 (15 Mb, 11 fragments, from 6 chromosomes); Cytogenetics and centromeric fusion of N-HT1 onto a CTVT chromosome; Timing: acquisition ~2000 years ago and donor ancestry; Gene expression and functional impact (ARFGEF3 rescue)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- N-HT1 is a 15-Mb horizontally transferred nuclear DNA element composed of 11 fragments from six canine chromosomes<br />- N-HT1 forms the short arm of a small submetacentric chromosome via centromeric fusion onto a CTVT chromosome<br />- N-HT1 was acquired by CTVT-A approximately 2,000 years ago<br />- N-HT1 is transcriptionally active and adopts the CTVT expression profile<br />- There is no clear evidence of positive selection acting on N-HT1 within CTVT-A<br />- ARFGEF3 was rescued from a null state by N-HT1 but was subsequently inactivated again</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Gori K et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2424634122 - In canine transmissible venereal tumor (CTVT), deep sequencing and cytogenetics identify a 15‑Mb horizontally transferred nuclear element (N-HT1) acquired ~2,000 years ago that is transcriptionally active. Key terms: CTVT, horizontal gene transfer, N-HT1, PacBio long-read sequencing, centromeric fusion.
 Study Highlights:The authors screened 174 transmissible tumor genomes, focusing on CTVT, DFT1, and DFT2, using deep short-read sequencing, long-read PacBio sequencing, structural variant analysis, and metaphase FISH. In CTVT-A they discovered a 15-Mb dicentric element (N-HT1) assembled from 11 fragments of six chromosomes that forms the short arm of a small submetacentric chromosome after centromeric fusion. Mutation density and CpG-based dating place N-HT1 acquisition about 2,000 years ago, and transcriptome allele deconvolution shows N-HT1 is transcriptionally active and adopts the CTVT expression profile. Functional interrogation found no clear oncogenic drivers on N-HT1, with at least one rescued gene (ARFGEF3) later inactivated, consistent with the element behaving as a likely neutral passenger.
 Conclusion:A single host-to-tumor nuclear horizontal transfer event was detected in sampled transmissible cancers: CTVT-A acquired a 15-Mb N-HT1 element that is transcriptionally active but shows no clear evidence of positive selection.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific claims presented about N-HT1: its structure, origin, timing, transcriptional activity, and evolutionary implications, as described in the article.- transcript topics: CTVT background and transmissible cancers; SNP flipping screen to detect host-to-tumor nuclear transfer; Discovery and structure of N-HT1 (15 Mb, 11 fragments, from 6 chromosomes); Cytogenetics and centromeric fusion of N-HT1 onto a CTVT chromosome; Timing: acquisition ~2000 years ago and donor ancestry; Gene expression and functional impact (ARFGEF3 rescue)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- N-HT1 is a 15-Mb horizontally transferred nuclear DNA element composed of 11 fragments from six canine chromosomes- N-HT1 forms the short arm of a small submetacentric chromosome via centromeric fusion onto a CTVT chromosome- N-HT1 was acquired by CTVT-A approximately 2,000 years ago- N-HT1 is transcriptionally active and adopts the CTVT expression profile- There is no clear evidence of positive selection acting on N-HT1 within CTVT-A- ARFGEF3 was rescued from a null state by N-HT1 but was subsequently inactivated again
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2341518/c1a-p6xp7-5zqk770dukmx-k1ixs5.png"></itunes:image>
                                                                            <itunes:duration>00:18:32</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2341518/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[272: ADSL A429V reduces purine biosynthesis in brain and alters female mouse water-seeking behavior]]>
                </title>
                <pubDate>Tue, 27 Jan 2026 05:22:26 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2339900</guid>
                                    <link>https://basebybase.castos.com/episodes/adsl-a429v-purine-brain</link>
                                <description>
                                            <![CDATA[<p>Ju X-C et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2508540122 - Human-specific ADSL A429V substitution and a common regulatory haplotype reduce ADSL activity and raise purine substrates in the brain, altering mouse behavior. Key terms: adenylosuccinate lyase, A429V, purine biosynthesis, succinyladenosine, human evolution.</p>
<p> Study Highlights:<br />Model: mice humanized for ADSL carrying the modern-human A429V (with R428Q) were compared to wild-type littermates using ultraperformance LC–Orbitrap metabolomics and automated IntelliCage behavioral assays. Mechanistic/quantitative result: SAICAr and S-Ado concentrations increased up to ~2-fold in liver and 1.8–5.4-fold across cerebrum regions, and these increases correlated negatively with Adsl mRNA expression across tissues. Human genetics: a 7.8-kb haplotype (including rs8135371) at &gt;97% carrier frequency is associated with lower ADSL expression, higher S-Ado in cerebrospinal fluid, and signals of positive selection. Functional implication: female humanized mice accessed water more efficiently under restricted conditions, linking reduced ADSL activity to altered behavior.</p>
<p> Conclusion:<br />Two genetic changes on the modern human lineage—a nearly fixed A429V amino acid substitution and a common regulatory haplotype—have reduced ADSL activity and expression, increasing purine substrates particularly in the brain and producing measurable behavioral effects in mice.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing the ADSL enzyme, the A429V substitution, mouse model (humanized Adsl), tissue metabolite changes, the IntelliCage water-competition experiment with female-specific effects, regulatory haplotype and selection signals, and human CSF/metabolite correlations with intelligence.<br />- transcript topics: ADSL role in purine biosynthesis; A429V modern-human substitution and enzyme stability; CRISPR-based humanized Adsl mouse model; Tissue-specific metabolic substrates SAICAr and S-Ado; Brain- and liver-specific accumulation patterns; IntelliCage water-competition behavioral assay and female-specific effects</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The modern-human ADSL coding change (A429V) reduces enzyme stability and activity relative to Neanderthal version.<br />- A second regulatory haplotype reduces ADSL expression, especially in brain, with evidence of positive selection.<br />- In humanized Adsl mice, SAICAr and S-Ado accumulate, particularly in brain and liver; brain shows greatest impact due to low baseline Adsl expression.<br />- Female humanized mice show increased water-approach behavior under restricted water conditions; males show no difference.<br />- CSF levels of S-Ado correlate negatively with intelligence in humans (rg ≈ -0.13; small effect size but statistically significant).<br />- Positive selection signals are present for both the coding and regulatory changes, with estimated selection coefficients around 0.0016–0.0018.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ju X-C et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2508540122 - Human-specific ADSL A429V substitution and a common regulatory haplotype reduce ADSL activity and raise purine substrates in the brain, altering mouse behavior. Key terms: adenylosuccinate lyase, A429V, purine biosynthesis, succinyladenosine, human evolution.
 Study Highlights:Model: mice humanized for ADSL carrying the modern-human A429V (with R428Q) were compared to wild-type littermates using ultraperformance LC–Orbitrap metabolomics and automated IntelliCage behavioral assays. Mechanistic/quantitative result: SAICAr and S-Ado concentrations increased up to ~2-fold in liver and 1.8–5.4-fold across cerebrum regions, and these increases correlated negatively with Adsl mRNA expression across tissues. Human genetics: a 7.8-kb haplotype (including rs8135371) at >97% carrier frequency is associated with lower ADSL expression, higher S-Ado in cerebrospinal fluid, and signals of positive selection. Functional implication: female humanized mice accessed water more efficiently under restricted conditions, linking reduced ADSL activity to altered behavior.
 Conclusion:Two genetic changes on the modern human lineage—a nearly fixed A429V amino acid substitution and a common regulatory haplotype—have reduced ADSL activity and expression, increasing purine substrates particularly in the brain and producing measurable behavioral effects in mice.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing the ADSL enzyme, the A429V substitution, mouse model (humanized Adsl), tissue metabolite changes, the IntelliCage water-competition experiment with female-specific effects, regulatory haplotype and selection signals, and human CSF/metabolite correlations with intelligence.- transcript topics: ADSL role in purine biosynthesis; A429V modern-human substitution and enzyme stability; CRISPR-based humanized Adsl mouse model; Tissue-specific metabolic substrates SAICAr and S-Ado; Brain- and liver-specific accumulation patterns; IntelliCage water-competition behavioral assay and female-specific effects
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The modern-human ADSL coding change (A429V) reduces enzyme stability and activity relative to Neanderthal version.- A second regulatory haplotype reduces ADSL expression, especially in brain, with evidence of positive selection.- In humanized Adsl mice, SAICAr and S-Ado accumulate, particularly in brain and liver; brain shows greatest impact due to low baseline Adsl expression.- Female humanized mice show increased water-approach behavior under restricted water conditions; males show no difference.- CSF levels of S-Ado correlate negatively with intelligence in humans (rg ≈ -0.13; small effect size but statistically significant).- Positive selection signals are present for both the coding and regulatory changes, with estimated selection coefficients around 0.0016–0.0018.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[272: ADSL A429V reduces purine biosynthesis in brain and alters female mouse water-seeking behavior]]>
                </itunes:title>
                                    <itunes:episode>272</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ju X-C et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2508540122 - Human-specific ADSL A429V substitution and a common regulatory haplotype reduce ADSL activity and raise purine substrates in the brain, altering mouse behavior. Key terms: adenylosuccinate lyase, A429V, purine biosynthesis, succinyladenosine, human evolution.</p>
<p> Study Highlights:<br />Model: mice humanized for ADSL carrying the modern-human A429V (with R428Q) were compared to wild-type littermates using ultraperformance LC–Orbitrap metabolomics and automated IntelliCage behavioral assays. Mechanistic/quantitative result: SAICAr and S-Ado concentrations increased up to ~2-fold in liver and 1.8–5.4-fold across cerebrum regions, and these increases correlated negatively with Adsl mRNA expression across tissues. Human genetics: a 7.8-kb haplotype (including rs8135371) at &gt;97% carrier frequency is associated with lower ADSL expression, higher S-Ado in cerebrospinal fluid, and signals of positive selection. Functional implication: female humanized mice accessed water more efficiently under restricted conditions, linking reduced ADSL activity to altered behavior.</p>
<p> Conclusion:<br />Two genetic changes on the modern human lineage—a nearly fixed A429V amino acid substitution and a common regulatory haplotype—have reduced ADSL activity and expression, increasing purine substrates particularly in the brain and producing measurable behavioral effects in mice.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing the ADSL enzyme, the A429V substitution, mouse model (humanized Adsl), tissue metabolite changes, the IntelliCage water-competition experiment with female-specific effects, regulatory haplotype and selection signals, and human CSF/metabolite correlations with intelligence.<br />- transcript topics: ADSL role in purine biosynthesis; A429V modern-human substitution and enzyme stability; CRISPR-based humanized Adsl mouse model; Tissue-specific metabolic substrates SAICAr and S-Ado; Brain- and liver-specific accumulation patterns; IntelliCage water-competition behavioral assay and female-specific effects</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The modern-human ADSL coding change (A429V) reduces enzyme stability and activity relative to Neanderthal version.<br />- A second regulatory haplotype reduces ADSL expression, especially in brain, with evidence of positive selection.<br />- In humanized Adsl mice, SAICAr and S-Ado accumulate, particularly in brain and liver; brain shows greatest impact due to low baseline Adsl expression.<br />- Female humanized mice show increased water-approach behavior under restricted water conditions; males show no difference.<br />- CSF levels of S-Ado correlate negatively with intelligence in humans (rg ≈ -0.13; small effect size but statistically significant).<br />- Positive selection signals are present for both the coding and regulatory changes, with estimated selection coefficients around 0.0016–0.0018.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Ju X-C et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2508540122 - Human-specific ADSL A429V substitution and a common regulatory haplotype reduce ADSL activity and raise purine substrates in the brain, altering mouse behavior. Key terms: adenylosuccinate lyase, A429V, purine biosynthesis, succinyladenosine, human evolution.
 Study Highlights:Model: mice humanized for ADSL carrying the modern-human A429V (with R428Q) were compared to wild-type littermates using ultraperformance LC–Orbitrap metabolomics and automated IntelliCage behavioral assays. Mechanistic/quantitative result: SAICAr and S-Ado concentrations increased up to ~2-fold in liver and 1.8–5.4-fold across cerebrum regions, and these increases correlated negatively with Adsl mRNA expression across tissues. Human genetics: a 7.8-kb haplotype (including rs8135371) at >97% carrier frequency is associated with lower ADSL expression, higher S-Ado in cerebrospinal fluid, and signals of positive selection. Functional implication: female humanized mice accessed water more efficiently under restricted conditions, linking reduced ADSL activity to altered behavior.
 Conclusion:Two genetic changes on the modern human lineage—a nearly fixed A429V amino acid substitution and a common regulatory haplotype—have reduced ADSL activity and expression, increasing purine substrates particularly in the brain and producing measurable behavioral effects in mice.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing the ADSL enzyme, the A429V substitution, mouse model (humanized Adsl), tissue metabolite changes, the IntelliCage water-competition experiment with female-specific effects, regulatory haplotype and selection signals, and human CSF/metabolite correlations with intelligence.- transcript topics: ADSL role in purine biosynthesis; A429V modern-human substitution and enzyme stability; CRISPR-based humanized Adsl mouse model; Tissue-specific metabolic substrates SAICAr and S-Ado; Brain- and liver-specific accumulation patterns; IntelliCage water-competition behavioral assay and female-specific effects
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The modern-human ADSL coding change (A429V) reduces enzyme stability and activity relative to Neanderthal version.- A second regulatory haplotype reduces ADSL expression, especially in brain, with evidence of positive selection.- In humanized Adsl mice, SAICAr and S-Ado accumulate, particularly in brain and liver; brain shows greatest impact due to low baseline Adsl expression.- Female humanized mice show increased water-approach behavior under restricted water conditions; males show no difference.- CSF levels of S-Ado correlate negatively with intelligence in humans (rg ≈ -0.13; small effect size but statistically significant).- Positive selection signals are present for both the coding and regulatory changes, with estimated selection coefficients around 0.0016–0.0018.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2339900/c1a-p6xp7-6z8w22nda169-cxhdrf.png"></itunes:image>
                                                                            <itunes:duration>00:22:11</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[271: Rising EA PGI prediction of educational attainment across 1946–1970 British birth cohorts and socioeconomic interaction]]>
                </title>
                <pubDate>Sun, 25 Jan 2026 23:41:30 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2338095</guid>
                                    <link>https://basebybase.castos.com/episodes/ea-pgi-cohort-socioeconomic-interaction</link>
                                <description>
                                            <![CDATA[<p>Morris TT et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2516460123 - EA and cognition polygenic indexes (PGIs) in three British birth cohorts show EA PGI associations with years of education increased from 1946–1970 and were strongest in advantaged socioeconomic backgrounds. Key terms: educational attainment, polygenic index, gene-environment interaction, British birth cohorts, socioeconomic status.</p>
<p> Study Highlights:<br />Using three nationally representative British birth cohorts born 1946, 1958, and 1970, the authors analyzed polygenic indexes for educational attainment (EA) and cognition. They generated PGIs with clumping-and-thresholding (PRSice2) and LDpred2, used multiple imputation and inverse probability weighting, and estimated linear models including cohort-by-PGI interactions. EA PGI associations increased from approximately 0.44 to 0.67 years of education per 1-SD and incremental R2 rose from 3.5% to 5.1% across cohorts, while cognition PGI associations were broadly stable. There was strong evidence of gene–environment interaction: returns to EA genetic liability were disproportionately larger among those born into more advantaged socioeconomic backgrounds.</p>
<p> Conclusion:<br />Across three British birth cohorts born 1946–1970, genetic liability indexed by an EA PGI became more predictive of years of completed education while cognition PGI prediction remained stable, and EA PGI effects were amplified in advantaged socioeconomic contexts.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific claims conveyed in the transcript: temporal increase of EA PGI associations, stability of cognition PGI, GxE interaction by SES, non-cognitive vs cognitive PGI interpretation, and study limitations.<br />- transcript topics: EA PGI prediction of education across cohorts; Cognition PGI stability across cohorts; Polygenic indices (EA PGI and cognition PGI) methods; Gene–environment interactions with socioeconomic background; Non-cognitive vs cognitive PGI interpretation; Limitations: ancestry and PGI portability</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- EA PGI associations with years of completed education increased across cohorts (1946c 0.44, 1958c 0.49, 1970c 0.67).<br />- Cognition PGI associations with education remained broadly stable across cohorts (1946c 0.23, 1958c 0.27, 1970c 0.24).<br />- EA PGI explained incremental variance in education rising from 3.5% to 5.1% across cohorts.<br />- Gene–environment interaction: higher returns to EA PGI among advantaged backgrounds and near-null returns among the most disadvantaged.<br />- Non-cognitive PGI captures additional variance; cognition PGI did not show increasing predictive power.<br />- Limitations include ancestry limitation to white European participants and PGI portability concerns.</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Genetics and the socioeconomic gap</li><li>(00:04:36) - The genetic link between school and success</li><li>(00:07:42) - Genetics and educational success</li><li>(00:11:42) - The Wealthy Kids and the Poor</li><li>(00:12:56) - The genetics of intelligence and personality</li><li>(00:15:38) - Open Access: Science Podcast</li><li>(00:16:31) - Inheritance</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Morris TT et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2516460123 - EA and cognition polygenic indexes (PGIs) in three British birth cohorts show EA PGI associations with years of education increased from 1946–1970 and were strongest in advantaged socioeconomic backgrounds. Key terms: educational attainment, polygenic index, gene-environment interaction, British birth cohorts, socioeconomic status.
 Study Highlights:Using three nationally representative British birth cohorts born 1946, 1958, and 1970, the authors analyzed polygenic indexes for educational attainment (EA) and cognition. They generated PGIs with clumping-and-thresholding (PRSice2) and LDpred2, used multiple imputation and inverse probability weighting, and estimated linear models including cohort-by-PGI interactions. EA PGI associations increased from approximately 0.44 to 0.67 years of education per 1-SD and incremental R2 rose from 3.5% to 5.1% across cohorts, while cognition PGI associations were broadly stable. There was strong evidence of gene–environment interaction: returns to EA genetic liability were disproportionately larger among those born into more advantaged socioeconomic backgrounds.
 Conclusion:Across three British birth cohorts born 1946–1970, genetic liability indexed by an EA PGI became more predictive of years of completed education while cognition PGI prediction remained stable, and EA PGI effects were amplified in advantaged socioeconomic contexts.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific claims conveyed in the transcript: temporal increase of EA PGI associations, stability of cognition PGI, GxE interaction by SES, non-cognitive vs cognitive PGI interpretation, and study limitations.- transcript topics: EA PGI prediction of education across cohorts; Cognition PGI stability across cohorts; Polygenic indices (EA PGI and cognition PGI) methods; Gene–environment interactions with socioeconomic background; Non-cognitive vs cognitive PGI interpretation; Limitations: ancestry and PGI portability
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- EA PGI associations with years of completed education increased across cohorts (1946c 0.44, 1958c 0.49, 1970c 0.67).- Cognition PGI associations with education remained broadly stable across cohorts (1946c 0.23, 1958c 0.27, 1970c 0.24).- EA PGI explained incremental variance in education rising from 3.5% to 5.1% across cohorts.- Gene–environment interaction: higher returns to EA PGI among advantaged backgrounds and near-null returns among the most disadvantaged.- Non-cognitive PGI captures additional variance; cognition PGI did not show increasing predictive power.- Limitations include ancestry limitation to white European participants and PGI portability concerns.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[271: Rising EA PGI prediction of educational attainment across 1946–1970 British birth cohorts and socioeconomic interaction]]>
                </itunes:title>
                                    <itunes:episode>271</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Morris TT et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2516460123 - EA and cognition polygenic indexes (PGIs) in three British birth cohorts show EA PGI associations with years of education increased from 1946–1970 and were strongest in advantaged socioeconomic backgrounds. Key terms: educational attainment, polygenic index, gene-environment interaction, British birth cohorts, socioeconomic status.</p>
<p> Study Highlights:<br />Using three nationally representative British birth cohorts born 1946, 1958, and 1970, the authors analyzed polygenic indexes for educational attainment (EA) and cognition. They generated PGIs with clumping-and-thresholding (PRSice2) and LDpred2, used multiple imputation and inverse probability weighting, and estimated linear models including cohort-by-PGI interactions. EA PGI associations increased from approximately 0.44 to 0.67 years of education per 1-SD and incremental R2 rose from 3.5% to 5.1% across cohorts, while cognition PGI associations were broadly stable. There was strong evidence of gene–environment interaction: returns to EA genetic liability were disproportionately larger among those born into more advantaged socioeconomic backgrounds.</p>
<p> Conclusion:<br />Across three British birth cohorts born 1946–1970, genetic liability indexed by an EA PGI became more predictive of years of completed education while cognition PGI prediction remained stable, and EA PGI effects were amplified in advantaged socioeconomic contexts.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific claims conveyed in the transcript: temporal increase of EA PGI associations, stability of cognition PGI, GxE interaction by SES, non-cognitive vs cognitive PGI interpretation, and study limitations.<br />- transcript topics: EA PGI prediction of education across cohorts; Cognition PGI stability across cohorts; Polygenic indices (EA PGI and cognition PGI) methods; Gene–environment interactions with socioeconomic background; Non-cognitive vs cognitive PGI interpretation; Limitations: ancestry and PGI portability</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- EA PGI associations with years of completed education increased across cohorts (1946c 0.44, 1958c 0.49, 1970c 0.67).<br />- Cognition PGI associations with education remained broadly stable across cohorts (1946c 0.23, 1958c 0.27, 1970c 0.24).<br />- EA PGI explained incremental variance in education rising from 3.5% to 5.1% across cohorts.<br />- Gene–environment interaction: higher returns to EA PGI among advantaged backgrounds and near-null returns among the most disadvantaged.<br />- Non-cognitive PGI captures additional variance; cognition PGI did not show increasing predictive power.<br />- Limitations include ancestry limitation to white European participants and PGI portability concerns.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2338095/c1e-6j36gi75w16uz2zxd-qd1zn720snk8-onnafb.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2338095&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fea-pgi-cohort-socioeconomic-interaction&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=210c33c7fe25beed342ead4bc89a90aa1881d522e9a8fc113d0fd03c9be8b1bb" length="28722861"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Morris TT et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2516460123 - EA and cognition polygenic indexes (PGIs) in three British birth cohorts show EA PGI associations with years of education increased from 1946–1970 and were strongest in advantaged socioeconomic backgrounds. Key terms: educational attainment, polygenic index, gene-environment interaction, British birth cohorts, socioeconomic status.
 Study Highlights:Using three nationally representative British birth cohorts born 1946, 1958, and 1970, the authors analyzed polygenic indexes for educational attainment (EA) and cognition. They generated PGIs with clumping-and-thresholding (PRSice2) and LDpred2, used multiple imputation and inverse probability weighting, and estimated linear models including cohort-by-PGI interactions. EA PGI associations increased from approximately 0.44 to 0.67 years of education per 1-SD and incremental R2 rose from 3.5% to 5.1% across cohorts, while cognition PGI associations were broadly stable. There was strong evidence of gene–environment interaction: returns to EA genetic liability were disproportionately larger among those born into more advantaged socioeconomic backgrounds.
 Conclusion:Across three British birth cohorts born 1946–1970, genetic liability indexed by an EA PGI became more predictive of years of completed education while cognition PGI prediction remained stable, and EA PGI effects were amplified in advantaged socioeconomic contexts.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific claims conveyed in the transcript: temporal increase of EA PGI associations, stability of cognition PGI, GxE interaction by SES, non-cognitive vs cognitive PGI interpretation, and study limitations.- transcript topics: EA PGI prediction of education across cohorts; Cognition PGI stability across cohorts; Polygenic indices (EA PGI and cognition PGI) methods; Gene–environment interactions with socioeconomic background; Non-cognitive vs cognitive PGI interpretation; Limitations: ancestry and PGI portability
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- EA PGI associations with years of completed education increased across cohorts (1946c 0.44, 1958c 0.49, 1970c 0.67).- Cognition PGI associations with education remained broadly stable across cohorts (1946c 0.23, 1958c 0.27, 1970c 0.24).- EA PGI explained incremental variance in education rising from 3.5% to 5.1% across cohorts.- Gene–environment interaction: higher returns to EA PGI among advantaged backgrounds and near-null returns among the most disadvantaged.- Non-cognitive PGI captures additional variance; cognition PGI did not show increasing predictive power.- Limitations include ancestry limitation to white European participants and PGI portability concerns.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2338095/c1a-p6xp7-9jg0ooj8h584-pi4abl.png"></itunes:image>
                                                                            <itunes:duration>00:19:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2338095/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[270: Human Topoisomerase IIIα–RMI1–RMI2 (TRR) processively relaxes negatively supercoiled DNA measured by optical tweezers]]>
                </title>
                <pubDate>Sun, 25 Jan 2026 23:03:54 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2338088</guid>
                                    <link>https://basebybase.castos.com/episodes/trr-supercoil-relaxation-optical-tweezers</link>
                                <description>
                                            <![CDATA[<p>Spakmana D et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2406949123 - Optical tweezers and fluorescence imaging show human Topoisomerase IIIα–RMI1–RMI2 (TRR) processively relaxes highly negatively supercoiled DNA faster than PICH loops. Key terms: topoisomerase IIIα, TRR complex, DNA supercoiling, optical tweezers, ultrafine anaphase bridges.</p>
<p> Study Highlights:<br />Using torsionally constrained end-closed λ-DNA in a multichannel flow cell, the authors combined Optical DNA Supercoiling (ODS), dual-trap optical tweezers, and fluorescence imaging to measure supercoiling density and visualize TRR binding in real time. They find TRR relaxes hyper-negatively supercoiled DNA in a highly processive manner, with single TRR complexes performing thousands (&gt;3,000) of strand-passage reactions and exhibiting a force-dependent rate described by an Arrhenius relation (δ ≈ 1.1–1.4 nm in ensemble and single-molecule fits). Ensemble TRR activity was ~10-fold lower than E. coli TopoI under the same conditions, while single- complex rates indicate a single TRR can relax PICH-generated negative loops within the reported loop lifetime. These results support a mechanistic role for TRR in relaxing PICH-generated negative supercoils that could facilitate ultrafine anaphase bridge resolution.</p>
<p> Conclusion:<br />Human topoisomerase IIIα–RMI1–RMI2 (TRR) relaxes highly negatively supercoiled DNA in a force-dependent, highly processive manner and can act within the lifetime of PICH-generated negative loops, supporting a role in ultrafine anaphase bridge resolution.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of the transcript's presentation of TRR mechanism, speed and processivity, binding preferences, dwell times, single-molecule assay setup, relation to PICH loop dynamics, and implications for ultrafine anaphase bridge resolution.<br />- transcript topics: TRR mechanistic relaxation of negatively supercoiled DNA; Single-molecule optical DNA supercoiling (ODS) assay with dual-trap optical tweezers; TRR processivity and burst dynamics; Force dependence and Arrhenius behavior (δ values); AT-rich sequence binding preferences of TRR; PICH loop dynamics and ultrafine bridge context</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TRR relaxes hyper-negatively supercoiled DNA in a highly processive manner<br />- A single TRR complex can catalyze thousands of strand passages (&gt;3,000 Lk) without dissociating<br />- Ensemble relaxation rate ~35 Lk/s; TRR is ~10-fold slower than EcTopoI; δ ~ 1.1 nm<br />- Single TRRmCherry complexes exhibit force-dependent relaxation with δ ~ 1.4 nm<br />- TRR binds preferentially to AT-rich sequences and melted bubbles<br />- TRR remains bound to DNA for tens of minutes after relaxation</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - The Great Divide: When will the bridge break?</li><li>(00:02:41) - Deep Dive: The mechanism of DNA supercoils by human to</li><li>(00:03:49) - The Hidden Story of DNA</li><li>(00:08:02) - How fast does TRR work on DNA?</li><li>(00:12:40) - Why TRR Stuck to the DNA</li><li>(00:17:30) - Who is the bouncer of DNA?</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Spakmana D et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2406949123 - Optical tweezers and fluorescence imaging show human Topoisomerase IIIα–RMI1–RMI2 (TRR) processively relaxes highly negatively supercoiled DNA faster than PICH loops. Key terms: topoisomerase IIIα, TRR complex, DNA supercoiling, optical tweezers, ultrafine anaphase bridges.
 Study Highlights:Using torsionally constrained end-closed λ-DNA in a multichannel flow cell, the authors combined Optical DNA Supercoiling (ODS), dual-trap optical tweezers, and fluorescence imaging to measure supercoiling density and visualize TRR binding in real time. They find TRR relaxes hyper-negatively supercoiled DNA in a highly processive manner, with single TRR complexes performing thousands (>3,000) of strand-passage reactions and exhibiting a force-dependent rate described by an Arrhenius relation (δ ≈ 1.1–1.4 nm in ensemble and single-molecule fits). Ensemble TRR activity was ~10-fold lower than E. coli TopoI under the same conditions, while single- complex rates indicate a single TRR can relax PICH-generated negative loops within the reported loop lifetime. These results support a mechanistic role for TRR in relaxing PICH-generated negative supercoils that could facilitate ultrafine anaphase bridge resolution.
 Conclusion:Human topoisomerase IIIα–RMI1–RMI2 (TRR) relaxes highly negatively supercoiled DNA in a force-dependent, highly processive manner and can act within the lifetime of PICH-generated negative loops, supporting a role in ultrafine anaphase bridge resolution.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of the transcript's presentation of TRR mechanism, speed and processivity, binding preferences, dwell times, single-molecule assay setup, relation to PICH loop dynamics, and implications for ultrafine anaphase bridge resolution.- transcript topics: TRR mechanistic relaxation of negatively supercoiled DNA; Single-molecule optical DNA supercoiling (ODS) assay with dual-trap optical tweezers; TRR processivity and burst dynamics; Force dependence and Arrhenius behavior (δ values); AT-rich sequence binding preferences of TRR; PICH loop dynamics and ultrafine bridge context
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- TRR relaxes hyper-negatively supercoiled DNA in a highly processive manner- A single TRR complex can catalyze thousands of strand passages (>3,000 Lk) without dissociating- Ensemble relaxation rate ~35 Lk/s; TRR is ~10-fold slower than EcTopoI; δ ~ 1.1 nm- Single TRRmCherry complexes exhibit force-dependent relaxation with δ ~ 1.4 nm- TRR binds preferentially to AT-rich sequences and melted bubbles- TRR remains bound to DNA for tens of minutes after relaxation
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[270: Human Topoisomerase IIIα–RMI1–RMI2 (TRR) processively relaxes negatively supercoiled DNA measured by optical tweezers]]>
                </itunes:title>
                                    <itunes:episode>270</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Spakmana D et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2406949123 - Optical tweezers and fluorescence imaging show human Topoisomerase IIIα–RMI1–RMI2 (TRR) processively relaxes highly negatively supercoiled DNA faster than PICH loops. Key terms: topoisomerase IIIα, TRR complex, DNA supercoiling, optical tweezers, ultrafine anaphase bridges.</p>
<p> Study Highlights:<br />Using torsionally constrained end-closed λ-DNA in a multichannel flow cell, the authors combined Optical DNA Supercoiling (ODS), dual-trap optical tweezers, and fluorescence imaging to measure supercoiling density and visualize TRR binding in real time. They find TRR relaxes hyper-negatively supercoiled DNA in a highly processive manner, with single TRR complexes performing thousands (&gt;3,000) of strand-passage reactions and exhibiting a force-dependent rate described by an Arrhenius relation (δ ≈ 1.1–1.4 nm in ensemble and single-molecule fits). Ensemble TRR activity was ~10-fold lower than E. coli TopoI under the same conditions, while single- complex rates indicate a single TRR can relax PICH-generated negative loops within the reported loop lifetime. These results support a mechanistic role for TRR in relaxing PICH-generated negative supercoils that could facilitate ultrafine anaphase bridge resolution.</p>
<p> Conclusion:<br />Human topoisomerase IIIα–RMI1–RMI2 (TRR) relaxes highly negatively supercoiled DNA in a force-dependent, highly processive manner and can act within the lifetime of PICH-generated negative loops, supporting a role in ultrafine anaphase bridge resolution.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of the transcript's presentation of TRR mechanism, speed and processivity, binding preferences, dwell times, single-molecule assay setup, relation to PICH loop dynamics, and implications for ultrafine anaphase bridge resolution.<br />- transcript topics: TRR mechanistic relaxation of negatively supercoiled DNA; Single-molecule optical DNA supercoiling (ODS) assay with dual-trap optical tweezers; TRR processivity and burst dynamics; Force dependence and Arrhenius behavior (δ values); AT-rich sequence binding preferences of TRR; PICH loop dynamics and ultrafine bridge context</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TRR relaxes hyper-negatively supercoiled DNA in a highly processive manner<br />- A single TRR complex can catalyze thousands of strand passages (&gt;3,000 Lk) without dissociating<br />- Ensemble relaxation rate ~35 Lk/s; TRR is ~10-fold slower than EcTopoI; δ ~ 1.1 nm<br />- Single TRRmCherry complexes exhibit force-dependent relaxation with δ ~ 1.4 nm<br />- TRR binds preferentially to AT-rich sequences and melted bubbles<br />- TRR remains bound to DNA for tens of minutes after relaxation</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2338088/c1e-p6xp7cwp09mb4n42o-ww7kvr58co14-hmijjd.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2338088&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Ftrr-supercoil-relaxation-optical-tweezers&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=7657d9e805b70b9959acdfb12cc76f20c7affaf448952e7be2608aaa8eb7a5aa" length="31813101"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Spakmana D et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2406949123 - Optical tweezers and fluorescence imaging show human Topoisomerase IIIα–RMI1–RMI2 (TRR) processively relaxes highly negatively supercoiled DNA faster than PICH loops. Key terms: topoisomerase IIIα, TRR complex, DNA supercoiling, optical tweezers, ultrafine anaphase bridges.
 Study Highlights:Using torsionally constrained end-closed λ-DNA in a multichannel flow cell, the authors combined Optical DNA Supercoiling (ODS), dual-trap optical tweezers, and fluorescence imaging to measure supercoiling density and visualize TRR binding in real time. They find TRR relaxes hyper-negatively supercoiled DNA in a highly processive manner, with single TRR complexes performing thousands (>3,000) of strand-passage reactions and exhibiting a force-dependent rate described by an Arrhenius relation (δ ≈ 1.1–1.4 nm in ensemble and single-molecule fits). Ensemble TRR activity was ~10-fold lower than E. coli TopoI under the same conditions, while single- complex rates indicate a single TRR can relax PICH-generated negative loops within the reported loop lifetime. These results support a mechanistic role for TRR in relaxing PICH-generated negative supercoils that could facilitate ultrafine anaphase bridge resolution.
 Conclusion:Human topoisomerase IIIα–RMI1–RMI2 (TRR) relaxes highly negatively supercoiled DNA in a force-dependent, highly processive manner and can act within the lifetime of PICH-generated negative loops, supporting a role in ultrafine anaphase bridge resolution.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of the transcript's presentation of TRR mechanism, speed and processivity, binding preferences, dwell times, single-molecule assay setup, relation to PICH loop dynamics, and implications for ultrafine anaphase bridge resolution.- transcript topics: TRR mechanistic relaxation of negatively supercoiled DNA; Single-molecule optical DNA supercoiling (ODS) assay with dual-trap optical tweezers; TRR processivity and burst dynamics; Force dependence and Arrhenius behavior (δ values); AT-rich sequence binding preferences of TRR; PICH loop dynamics and ultrafine bridge context
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- TRR relaxes hyper-negatively supercoiled DNA in a highly processive manner- A single TRR complex can catalyze thousands of strand passages (>3,000 Lk) without dissociating- Ensemble relaxation rate ~35 Lk/s; TRR is ~10-fold slower than EcTopoI; δ ~ 1.1 nm- Single TRRmCherry complexes exhibit force-dependent relaxation with δ ~ 1.4 nm- TRR binds preferentially to AT-rich sequences and melted bubbles- TRR remains bound to DNA for tens of minutes after relaxation
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2338088/c1a-p6xp7-4741557qcm24-sa6dwi.png"></itunes:image>
                                                                            <itunes:duration>00:22:04</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2338088/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[269: Mlh1–Pms1 endonuclease creates single-strand gaps to excise mispairs in S. cerevisiae MMR]]>
                </title>
                <pubDate>Sat, 24 Jan 2026 06:01:33 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2336125</guid>
                                    <link>https://basebybase.castos.com/episodes/mlh1-pms1-gap-excision</link>
                                <description>
                                            <![CDATA[<p>Palacio T et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2528670122 - Reconstituted Saccharomyces cerevisiae mismatch repair shows the Mlh1–Pms1 endonuclease directly generates single-strand gaps to excise mispairs independent of Exo1 and Rad27. Key terms: Mlh1-Pms1, mismatch repair, single-strand gaps, Exo1, APOBEC3A.</p>
<p> Study Highlights:<br />We reconstituted Saccharomyces cerevisiae mismatch repair with purified Msh2–Msh6 or Msh2–Msh3, Mlh1–Pms1, PCNA, RFC, RPA, and DNA polymerases and analyzed products by restriction mapping, Mung Bean nuclease, electron microscopy, and APOBEC3A deamination. The Mlh1–Pms1 endonuclease, activated by RFC-loaded PCNA and Mn2+, generates strand-specific single-strand gaps on the preexisting nicked strand. Electron microscopy and deamination mapping revealed a broad distribution of gap sizes with a peak around 128 ± 17 nucleotides and most gaps under 500 nucleotides. These gaps can be filled by DNA Polε or low levels of DNA Polδ, providing an Exo1- and Rad27-independent route for mispair excision and explaining redundancy among excision pathways.</p>
<p> Conclusion:<br />Mlh1–Pms1 catalyzes strand-specific single-strand gap formation that mediates Exo1- and Rad27-independent mispair excision in reconstituted S. cerevisiae mismatch repair.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections: Exo1/Rad27 independence, MLH1-Pms1 endonuclease role, Mn2+ activation, gap formation and sizes, EM evidence, APOBEC3A gap mapping, and the proposed three-pathway MMR model.<br />- transcript topics: Background on mismatch repair and Exo1/Rad27 roles; Exo1- and Rad27-independent MMR reconstitution; MLH1-Pms1 endonuclease activity and Mn2+ activation; Formation and types of single-stranded gaps; Electron microscopy evidence of gap sizes; APOBEC3A mapping of excision gaps</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Combined Exo1- and Rad27-independent repair accounts for a small fraction (5–13%) of MMR when Exo1/Rad27 pathways are deleted, with Exo1/Rad27 contributing the remainder via redund<br />- MLH1–Pms1 endonuclease can drive mispair excision independently of Exo1 and Rad27.<br />- MLH1–Pms1–mediated repair generates strand-specific single-stranded gaps on the nicked strand.<br />- Gap sizes are broadly distributed with a peak at 128 ± 17 nucleotides; most gaps are under 500 nucleotides.<br />- Gaps can be filled by DNA Polε or low levels of DNA Polδ, enabling Exo1- and Rad27-independent repair.<br />- Mn2+ activates MLH1–Pms1 endonuclease; Mg2+ alone does not support robust activity.</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Base by Bass</li><li>(00:00:29) - Who is the real repairman of DNA?</li><li>(00:02:39) - The spell-checker for our DNA</li><li>(00:04:23) - The ghost mechanic of DNA repair</li><li>(00:07:02) - The secret to DNA repair</li><li>(00:09:48) - How DNA repair works: The 3 pathways</li><li>(00:13:43) - How to Stop cancer with a single drug</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Palacio T et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2528670122 - Reconstituted Saccharomyces cerevisiae mismatch repair shows the Mlh1–Pms1 endonuclease directly generates single-strand gaps to excise mispairs independent of Exo1 and Rad27. Key terms: Mlh1-Pms1, mismatch repair, single-strand gaps, Exo1, APOBEC3A.
 Study Highlights:We reconstituted Saccharomyces cerevisiae mismatch repair with purified Msh2–Msh6 or Msh2–Msh3, Mlh1–Pms1, PCNA, RFC, RPA, and DNA polymerases and analyzed products by restriction mapping, Mung Bean nuclease, electron microscopy, and APOBEC3A deamination. The Mlh1–Pms1 endonuclease, activated by RFC-loaded PCNA and Mn2+, generates strand-specific single-strand gaps on the preexisting nicked strand. Electron microscopy and deamination mapping revealed a broad distribution of gap sizes with a peak around 128 ± 17 nucleotides and most gaps under 500 nucleotides. These gaps can be filled by DNA Polε or low levels of DNA Polδ, providing an Exo1- and Rad27-independent route for mispair excision and explaining redundancy among excision pathways.
 Conclusion:Mlh1–Pms1 catalyzes strand-specific single-strand gap formation that mediates Exo1- and Rad27-independent mispair excision in reconstituted S. cerevisiae mismatch repair.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections: Exo1/Rad27 independence, MLH1-Pms1 endonuclease role, Mn2+ activation, gap formation and sizes, EM evidence, APOBEC3A gap mapping, and the proposed three-pathway MMR model.- transcript topics: Background on mismatch repair and Exo1/Rad27 roles; Exo1- and Rad27-independent MMR reconstitution; MLH1-Pms1 endonuclease activity and Mn2+ activation; Formation and types of single-stranded gaps; Electron microscopy evidence of gap sizes; APOBEC3A mapping of excision gaps
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Combined Exo1- and Rad27-independent repair accounts for a small fraction (5–13%) of MMR when Exo1/Rad27 pathways are deleted, with Exo1/Rad27 contributing the remainder via redund- MLH1–Pms1 endonuclease can drive mispair excision independently of Exo1 and Rad27.- MLH1–Pms1–mediated repair generates strand-specific single-stranded gaps on the nicked strand.- Gap sizes are broadly distributed with a peak at 128 ± 17 nucleotides; most gaps are under 500 nucleotides.- Gaps can be filled by DNA Polε or low levels of DNA Polδ, enabling Exo1- and Rad27-independent repair.- Mn2+ activates MLH1–Pms1 endonuclease; Mg2+ alone does not support robust activity.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[269: Mlh1–Pms1 endonuclease creates single-strand gaps to excise mispairs in S. cerevisiae MMR]]>
                </itunes:title>
                                    <itunes:episode>269</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Palacio T et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2528670122 - Reconstituted Saccharomyces cerevisiae mismatch repair shows the Mlh1–Pms1 endonuclease directly generates single-strand gaps to excise mispairs independent of Exo1 and Rad27. Key terms: Mlh1-Pms1, mismatch repair, single-strand gaps, Exo1, APOBEC3A.</p>
<p> Study Highlights:<br />We reconstituted Saccharomyces cerevisiae mismatch repair with purified Msh2–Msh6 or Msh2–Msh3, Mlh1–Pms1, PCNA, RFC, RPA, and DNA polymerases and analyzed products by restriction mapping, Mung Bean nuclease, electron microscopy, and APOBEC3A deamination. The Mlh1–Pms1 endonuclease, activated by RFC-loaded PCNA and Mn2+, generates strand-specific single-strand gaps on the preexisting nicked strand. Electron microscopy and deamination mapping revealed a broad distribution of gap sizes with a peak around 128 ± 17 nucleotides and most gaps under 500 nucleotides. These gaps can be filled by DNA Polε or low levels of DNA Polδ, providing an Exo1- and Rad27-independent route for mispair excision and explaining redundancy among excision pathways.</p>
<p> Conclusion:<br />Mlh1–Pms1 catalyzes strand-specific single-strand gap formation that mediates Exo1- and Rad27-independent mispair excision in reconstituted S. cerevisiae mismatch repair.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections: Exo1/Rad27 independence, MLH1-Pms1 endonuclease role, Mn2+ activation, gap formation and sizes, EM evidence, APOBEC3A gap mapping, and the proposed three-pathway MMR model.<br />- transcript topics: Background on mismatch repair and Exo1/Rad27 roles; Exo1- and Rad27-independent MMR reconstitution; MLH1-Pms1 endonuclease activity and Mn2+ activation; Formation and types of single-stranded gaps; Electron microscopy evidence of gap sizes; APOBEC3A mapping of excision gaps</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Combined Exo1- and Rad27-independent repair accounts for a small fraction (5–13%) of MMR when Exo1/Rad27 pathways are deleted, with Exo1/Rad27 contributing the remainder via redund<br />- MLH1–Pms1 endonuclease can drive mispair excision independently of Exo1 and Rad27.<br />- MLH1–Pms1–mediated repair generates strand-specific single-stranded gaps on the nicked strand.<br />- Gap sizes are broadly distributed with a peak at 128 ± 17 nucleotides; most gaps are under 500 nucleotides.<br />- Gaps can be filled by DNA Polε or low levels of DNA Polδ, enabling Exo1- and Rad27-independent repair.<br />- Mn2+ activates MLH1–Pms1 endonuclease; Mg2+ alone does not support robust activity.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2336125/c1e-4jx6ni89pwdt909jp-47o283q8tk74-mfjkps.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2336125&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fmlh1-pms1-gap-excision&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=877b692656e96ca1e514a944929566afe713fa1a4fa785f2526476445b295f01" length="30020013"
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                                <itunes:summary>
                    <![CDATA[Palacio T et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2528670122 - Reconstituted Saccharomyces cerevisiae mismatch repair shows the Mlh1–Pms1 endonuclease directly generates single-strand gaps to excise mispairs independent of Exo1 and Rad27. Key terms: Mlh1-Pms1, mismatch repair, single-strand gaps, Exo1, APOBEC3A.
 Study Highlights:We reconstituted Saccharomyces cerevisiae mismatch repair with purified Msh2–Msh6 or Msh2–Msh3, Mlh1–Pms1, PCNA, RFC, RPA, and DNA polymerases and analyzed products by restriction mapping, Mung Bean nuclease, electron microscopy, and APOBEC3A deamination. The Mlh1–Pms1 endonuclease, activated by RFC-loaded PCNA and Mn2+, generates strand-specific single-strand gaps on the preexisting nicked strand. Electron microscopy and deamination mapping revealed a broad distribution of gap sizes with a peak around 128 ± 17 nucleotides and most gaps under 500 nucleotides. These gaps can be filled by DNA Polε or low levels of DNA Polδ, providing an Exo1- and Rad27-independent route for mispair excision and explaining redundancy among excision pathways.
 Conclusion:Mlh1–Pms1 catalyzes strand-specific single-strand gap formation that mediates Exo1- and Rad27-independent mispair excision in reconstituted S. cerevisiae mismatch repair.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections: Exo1/Rad27 independence, MLH1-Pms1 endonuclease role, Mn2+ activation, gap formation and sizes, EM evidence, APOBEC3A gap mapping, and the proposed three-pathway MMR model.- transcript topics: Background on mismatch repair and Exo1/Rad27 roles; Exo1- and Rad27-independent MMR reconstitution; MLH1-Pms1 endonuclease activity and Mn2+ activation; Formation and types of single-stranded gaps; Electron microscopy evidence of gap sizes; APOBEC3A mapping of excision gaps
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Combined Exo1- and Rad27-independent repair accounts for a small fraction (5–13%) of MMR when Exo1/Rad27 pathways are deleted, with Exo1/Rad27 contributing the remainder via redund- MLH1–Pms1 endonuclease can drive mispair excision independently of Exo1 and Rad27.- MLH1–Pms1–mediated repair generates strand-specific single-stranded gaps on the nicked strand.- Gap sizes are broadly distributed with a peak at 128 ± 17 nucleotides; most gaps are under 500 nucleotides.- Gaps can be filled by DNA Polε or low levels of DNA Polδ, enabling Exo1- and Rad27-independent repair.- Mn2+ activates MLH1–Pms1 endonuclease; Mg2+ alone does not support robust activity.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2336125/c1a-p6xp7-kpod77poadwd-64okhu.png"></itunes:image>
                                                                            <itunes:duration>00:20:50</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2336125/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[268: M493I in human β-cardiac myosin: SRX disruption, slow ADP release, and enhanced actin attachment]]>
                </title>
                <pubDate>Fri, 23 Jan 2026 06:17:26 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2334941</guid>
                                    <link>https://basebybase.castos.com/episodes/m493i-beta-myosin-srx-disruption</link>
                                <description>
                                            <![CDATA[<p>Cail RC et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2521561122 - Recombinant human β-cardiac myosin M493I studied by optical trapping and stopped-flow kinetics disrupts the super-relaxed state and increases actin attachment and contractile force. Key terms: β-cardiac myosin, M493I, super-relaxed state, actin attachment, optical trap.</p>
<p> Study Highlights:<br />System: recombinant human β-cardiac heavy meromyosin (cHMM) expressed in C2C12 cells. Methods: ensemble actin gliding, stopped-flow kinetics, NADH ATPase, mantATP single-turnover, and single-molecule three-bead optical trap assays. Main results: M493I preserves Pi release and the two-step 4.7–5 nm working stroke but slows ADP release ~5-fold, doubles steady-state ATPase Vmax, reduces SRX occupancy (KSRX/DRX from ~0.33 to ~0.53), and prolongs actin attachment with increased high-force, long-duration interactions. Functional implication: the combined increase in DRX head availability and prolonged AM·ADP lifetimes produce higher sustained force and faster actin reattachment consistent with a mechanism for HCM hypercontractility and impaired relaxation.</p>
<p> Conclusion:<br />The M493I relay-helix mutation disrupts the SRX off state and, together with slowed ADP release and prolonged actin attachment, increases myosin head availability and force production, explaining its hypercontractile HCM phenotype.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-23.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering the M493I mutation in the relay helix, SRX/DRX equilibrium and head availability, ADP release kinetics and duty ratio, actin gliding and power stroke, isometric high-force attachments, single-molecule actin reattachment dynamics, and mavacamten/therapeutic implications.<br />- transcript topics: M493I mutation in relay helix and mechanistic role; SRX/DRX equilibrium and head availability; ADP release kinetics and duty ratio; Actin gliding velocity and power stroke; Isometric high-force attachments under hindering load; Single-molecule actin reattachment dynamics</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- M493I slows ADP release ~5-fold (ADP release ~12 s−1 vs ~69 s−1 for WT).<br />- Actin gliding velocity reduced ~70% (WT ~1.6 μm/s; M493I ~0.46 μm/s).<br />- SRX/DRX disruption: SRX/DRX equilibrium constant ~0.53 (M493I) vs ~0.33 (WT); DRX heads ~35% vs ~25%.<br />- Duty ratio increases from ~0.017 (WT) to ~0.20 (M493I).<br />- Power output under hindering load (0–10 pN) nearly twofold higher for M493I vs WT.<br />- Single-molecule actin reattachment fastest component ~1.62 s−1 (M493I) vs ~0.83 s−1 (WT).</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Heart Hypertrophic Cardiomyopathy: The genetic puzzle</li><li>(00:04:48) - Myosin motors: Do they Pull or Float?</li><li>(00:07:50) - Heart Disease: M493I mutant causes heart to slow</li><li>(00:12:16) - Heart dysrhythmias: The sticky insomniac motor</li><li>(00:17:54) - Hold on Hold On</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Cail RC et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2521561122 - Recombinant human β-cardiac myosin M493I studied by optical trapping and stopped-flow kinetics disrupts the super-relaxed state and increases actin attachment and contractile force. Key terms: β-cardiac myosin, M493I, super-relaxed state, actin attachment, optical trap.
 Study Highlights:System: recombinant human β-cardiac heavy meromyosin (cHMM) expressed in C2C12 cells. Methods: ensemble actin gliding, stopped-flow kinetics, NADH ATPase, mantATP single-turnover, and single-molecule three-bead optical trap assays. Main results: M493I preserves Pi release and the two-step 4.7–5 nm working stroke but slows ADP release ~5-fold, doubles steady-state ATPase Vmax, reduces SRX occupancy (KSRX/DRX from ~0.33 to ~0.53), and prolongs actin attachment with increased high-force, long-duration interactions. Functional implication: the combined increase in DRX head availability and prolonged AM·ADP lifetimes produce higher sustained force and faster actin reattachment consistent with a mechanism for HCM hypercontractility and impaired relaxation.
 Conclusion:The M493I relay-helix mutation disrupts the SRX off state and, together with slowed ADP release and prolonged actin attachment, increases myosin head availability and force production, explaining its hypercontractile HCM phenotype.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-23.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering the M493I mutation in the relay helix, SRX/DRX equilibrium and head availability, ADP release kinetics and duty ratio, actin gliding and power stroke, isometric high-force attachments, single-molecule actin reattachment dynamics, and mavacamten/therapeutic implications.- transcript topics: M493I mutation in relay helix and mechanistic role; SRX/DRX equilibrium and head availability; ADP release kinetics and duty ratio; Actin gliding velocity and power stroke; Isometric high-force attachments under hindering load; Single-molecule actin reattachment dynamics
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- M493I slows ADP release ~5-fold (ADP release ~12 s−1 vs ~69 s−1 for WT).- Actin gliding velocity reduced ~70% (WT ~1.6 μm/s; M493I ~0.46 μm/s).- SRX/DRX disruption: SRX/DRX equilibrium constant ~0.53 (M493I) vs ~0.33 (WT); DRX heads ~35% vs ~25%.- Duty ratio increases from ~0.017 (WT) to ~0.20 (M493I).- Power output under hindering load (0–10 pN) nearly twofold higher for M493I vs WT.- Single-molecule actin reattachment fastest component ~1.62 s−1 (M493I) vs ~0.83 s−1 (WT).
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[268: M493I in human β-cardiac myosin: SRX disruption, slow ADP release, and enhanced actin attachment]]>
                </itunes:title>
                                    <itunes:episode>268</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Cail RC et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2521561122 - Recombinant human β-cardiac myosin M493I studied by optical trapping and stopped-flow kinetics disrupts the super-relaxed state and increases actin attachment and contractile force. Key terms: β-cardiac myosin, M493I, super-relaxed state, actin attachment, optical trap.</p>
<p> Study Highlights:<br />System: recombinant human β-cardiac heavy meromyosin (cHMM) expressed in C2C12 cells. Methods: ensemble actin gliding, stopped-flow kinetics, NADH ATPase, mantATP single-turnover, and single-molecule three-bead optical trap assays. Main results: M493I preserves Pi release and the two-step 4.7–5 nm working stroke but slows ADP release ~5-fold, doubles steady-state ATPase Vmax, reduces SRX occupancy (KSRX/DRX from ~0.33 to ~0.53), and prolongs actin attachment with increased high-force, long-duration interactions. Functional implication: the combined increase in DRX head availability and prolonged AM·ADP lifetimes produce higher sustained force and faster actin reattachment consistent with a mechanism for HCM hypercontractility and impaired relaxation.</p>
<p> Conclusion:<br />The M493I relay-helix mutation disrupts the SRX off state and, together with slowed ADP release and prolonged actin attachment, increases myosin head availability and force production, explaining its hypercontractile HCM phenotype.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-23.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering the M493I mutation in the relay helix, SRX/DRX equilibrium and head availability, ADP release kinetics and duty ratio, actin gliding and power stroke, isometric high-force attachments, single-molecule actin reattachment dynamics, and mavacamten/therapeutic implications.<br />- transcript topics: M493I mutation in relay helix and mechanistic role; SRX/DRX equilibrium and head availability; ADP release kinetics and duty ratio; Actin gliding velocity and power stroke; Isometric high-force attachments under hindering load; Single-molecule actin reattachment dynamics</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- M493I slows ADP release ~5-fold (ADP release ~12 s−1 vs ~69 s−1 for WT).<br />- Actin gliding velocity reduced ~70% (WT ~1.6 μm/s; M493I ~0.46 μm/s).<br />- SRX/DRX disruption: SRX/DRX equilibrium constant ~0.53 (M493I) vs ~0.33 (WT); DRX heads ~35% vs ~25%.<br />- Duty ratio increases from ~0.017 (WT) to ~0.20 (M493I).<br />- Power output under hindering load (0–10 pN) nearly twofold higher for M493I vs WT.<br />- Single-molecule actin reattachment fastest component ~1.62 s−1 (M493I) vs ~0.83 s−1 (WT).</p>
<p>QC result: Pass.</p>]]>
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                    <![CDATA[Cail RC et al., Proc. Natl. Acad. Sci. U.S.A. 2025.122:e2521561122 - Recombinant human β-cardiac myosin M493I studied by optical trapping and stopped-flow kinetics disrupts the super-relaxed state and increases actin attachment and contractile force. Key terms: β-cardiac myosin, M493I, super-relaxed state, actin attachment, optical trap.
 Study Highlights:System: recombinant human β-cardiac heavy meromyosin (cHMM) expressed in C2C12 cells. Methods: ensemble actin gliding, stopped-flow kinetics, NADH ATPase, mantATP single-turnover, and single-molecule three-bead optical trap assays. Main results: M493I preserves Pi release and the two-step 4.7–5 nm working stroke but slows ADP release ~5-fold, doubles steady-state ATPase Vmax, reduces SRX occupancy (KSRX/DRX from ~0.33 to ~0.53), and prolongs actin attachment with increased high-force, long-duration interactions. Functional implication: the combined increase in DRX head availability and prolonged AM·ADP lifetimes produce higher sustained force and faster actin reattachment consistent with a mechanism for HCM hypercontractility and impaired relaxation.
 Conclusion:The M493I relay-helix mutation disrupts the SRX off state and, together with slowed ADP release and prolonged actin attachment, increases myosin head availability and force production, explaining its hypercontractile HCM phenotype.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-23.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering the M493I mutation in the relay helix, SRX/DRX equilibrium and head availability, ADP release kinetics and duty ratio, actin gliding and power stroke, isometric high-force attachments, single-molecule actin reattachment dynamics, and mavacamten/therapeutic implications.- transcript topics: M493I mutation in relay helix and mechanistic role; SRX/DRX equilibrium and head availability; ADP release kinetics and duty ratio; Actin gliding velocity and power stroke; Isometric high-force attachments under hindering load; Single-molecule actin reattachment dynamics
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- M493I slows ADP release ~5-fold (ADP release ~12 s−1 vs ~69 s−1 for WT).- Actin gliding velocity reduced ~70% (WT ~1.6 μm/s; M493I ~0.46 μm/s).- SRX/DRX disruption: SRX/DRX equilibrium constant ~0.53 (M493I) vs ~0.33 (WT); DRX heads ~35% vs ~25%.- Duty ratio increases from ~0.017 (WT) to ~0.20 (M493I).- Power output under hindering load (0–10 pN) nearly twofold higher for M493I vs WT.- Single-molecule actin reattachment fastest component ~1.62 s−1 (M493I) vs ~0.83 s−1 (WT).
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2334941/c1a-p6xp7-qdp499dwtdg5-t8jrpk.png"></itunes:image>
                                                                            <itunes:duration>00:22:09</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[267: DNA base-pair opening modes and soliton-like loops revealed by hydrogen exchange]]>
                </title>
                <pubDate>Thu, 22 Jan 2026 05:41:03 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2333709</guid>
                                    <link>https://basebybase.castos.com/episodes/dna-basepair-opening-soliton</link>
                                <description>
                                            <![CDATA[<p>Englander SW et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2520855122 - Hydrogen exchange (H-T and NMR H-H) on DNA and RNA reveals two distinct base-pair opening modes: single-base microsecond openings and multi-base millisecond soliton-like loops. Key terms: hydrogen exchange, DNA dynamics, base pair opening, soliton, H-T exchange.</p>
<p> Study Highlights:<br />Systems studied include long polynucleotides (DNA, duplex RNA, synthetic long duplexes) and short oligonucleotides; key methods are H-T (tritium) exchange, stopped-flow H-D, and NMR H-H (water relaxation) measurements. H-T exchange of long polymers reports opening-limited EX1 imino exchange with kop ~1/s, reclosing kcl ~20/s and Kop ~10^-2 consistent with multi-base open loops with ms lifetimes. NMR H-H on short oligos reports catalyzable EX2 behavior dominated by single base-pair openings with kcl ~10^6/s and Kop ~10^-6 and microsecond lifetimes. The selective detection implies short oligonucleotides cannot host extensive loops while multi-base soliton-like loops in polynucleotides could dynamically expose sequences for protein or nucleic acid recognition.</p>
<p> Conclusion:<br />Both H-T and NMR H-H exchange provide accurate but complementary views: long polynucleotides exhibit frequent multi-base, ms-lived open loops (Kop ~10^-2, kcl ~20/s) while short oligonucleotides reveal rare single-base, μs-lived openings (Kop ~10^-6, kcl ~10^6/s).</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript portions describing hydrogen exchange theory, EX1/EX2, the two base-pair opening modes, the soliton traveling loop hypothesis, length dependence, and biological implications as presented in the article.<br />- transcript topics: Hydrogen exchange theory and Eigen proton-transfer foundations; H-T exchange in long polynucleotides (1000+ bp) and EX1 vs EX2 interpretation; H-H exchange by NMR in short oligonucleotides and its constraints; Two base-pair opening modes: single-base openings (EX1-dominated) and multi-base open loops (EX2-dominated); Soliton traveling loop hypothesis and migration along DNA; Length dependence reconciles datasets (native long DNA vs short oligonucleotides)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- There are two base-pair opening modes: single-base openings detected by NMR on short oligonucleotides and multi-base open loops observed in long polynucleotides<br />- HT (tritium) exchange reports ms-lived open loops with Kop ~ 10^-2 and kcl ~ 20 s^-1 in long polynucleotides, with open-state population Kop ~ 10^-2 (~1%)<br />- HH-NMR exchange on short oligonucleotides reports μs-lived single-base openings with Kop ~ 10^-6 and very low open-state population<br />- A traveling soliton-like loop mechanism is proposed to explain how open states migrate along DNA and expose sequences<br />- Length of nucleic acid dictates which HX method observes which opening mode, reconciling historical discrepancies<br />- Cryo-EM is proposed as a future method to visualize soliton-like waves and validate the hypothesis</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Papercast: The mystery of DNA</li><li>(00:02:42) - Breaking down the mystery of DNA</li><li>(00:03:26) - How does DNA open? The '</li><li>(00:07:43) -  DNA is Not Like Longer Strands</li><li>(00:11:32) - The physics of DNA replication</li><li>(00:16:10) - I'm 1% Open</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Englander SW et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2520855122 - Hydrogen exchange (H-T and NMR H-H) on DNA and RNA reveals two distinct base-pair opening modes: single-base microsecond openings and multi-base millisecond soliton-like loops. Key terms: hydrogen exchange, DNA dynamics, base pair opening, soliton, H-T exchange.
 Study Highlights:Systems studied include long polynucleotides (DNA, duplex RNA, synthetic long duplexes) and short oligonucleotides; key methods are H-T (tritium) exchange, stopped-flow H-D, and NMR H-H (water relaxation) measurements. H-T exchange of long polymers reports opening-limited EX1 imino exchange with kop ~1/s, reclosing kcl ~20/s and Kop ~10^-2 consistent with multi-base open loops with ms lifetimes. NMR H-H on short oligos reports catalyzable EX2 behavior dominated by single base-pair openings with kcl ~10^6/s and Kop ~10^-6 and microsecond lifetimes. The selective detection implies short oligonucleotides cannot host extensive loops while multi-base soliton-like loops in polynucleotides could dynamically expose sequences for protein or nucleic acid recognition.
 Conclusion:Both H-T and NMR H-H exchange provide accurate but complementary views: long polynucleotides exhibit frequent multi-base, ms-lived open loops (Kop ~10^-2, kcl ~20/s) while short oligonucleotides reveal rare single-base, μs-lived openings (Kop ~10^-6, kcl ~10^6/s).
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript portions describing hydrogen exchange theory, EX1/EX2, the two base-pair opening modes, the soliton traveling loop hypothesis, length dependence, and biological implications as presented in the article.- transcript topics: Hydrogen exchange theory and Eigen proton-transfer foundations; H-T exchange in long polynucleotides (1000+ bp) and EX1 vs EX2 interpretation; H-H exchange by NMR in short oligonucleotides and its constraints; Two base-pair opening modes: single-base openings (EX1-dominated) and multi-base open loops (EX2-dominated); Soliton traveling loop hypothesis and migration along DNA; Length dependence reconciles datasets (native long DNA vs short oligonucleotides)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- There are two base-pair opening modes: single-base openings detected by NMR on short oligonucleotides and multi-base open loops observed in long polynucleotides- HT (tritium) exchange reports ms-lived open loops with Kop ~ 10^-2 and kcl ~ 20 s^-1 in long polynucleotides, with open-state population Kop ~ 10^-2 (~1%)- HH-NMR exchange on short oligonucleotides reports μs-lived single-base openings with Kop ~ 10^-6 and very low open-state population- A traveling soliton-like loop mechanism is proposed to explain how open states migrate along DNA and expose sequences- Length of nucleic acid dictates which HX method observes which opening mode, reconciling historical discrepancies- Cryo-EM is proposed as a future method to visualize soliton-like waves and validate the hypothesis
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[267: DNA base-pair opening modes and soliton-like loops revealed by hydrogen exchange]]>
                </itunes:title>
                                    <itunes:episode>267</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Englander SW et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2520855122 - Hydrogen exchange (H-T and NMR H-H) on DNA and RNA reveals two distinct base-pair opening modes: single-base microsecond openings and multi-base millisecond soliton-like loops. Key terms: hydrogen exchange, DNA dynamics, base pair opening, soliton, H-T exchange.</p>
<p> Study Highlights:<br />Systems studied include long polynucleotides (DNA, duplex RNA, synthetic long duplexes) and short oligonucleotides; key methods are H-T (tritium) exchange, stopped-flow H-D, and NMR H-H (water relaxation) measurements. H-T exchange of long polymers reports opening-limited EX1 imino exchange with kop ~1/s, reclosing kcl ~20/s and Kop ~10^-2 consistent with multi-base open loops with ms lifetimes. NMR H-H on short oligos reports catalyzable EX2 behavior dominated by single base-pair openings with kcl ~10^6/s and Kop ~10^-6 and microsecond lifetimes. The selective detection implies short oligonucleotides cannot host extensive loops while multi-base soliton-like loops in polynucleotides could dynamically expose sequences for protein or nucleic acid recognition.</p>
<p> Conclusion:<br />Both H-T and NMR H-H exchange provide accurate but complementary views: long polynucleotides exhibit frequent multi-base, ms-lived open loops (Kop ~10^-2, kcl ~20/s) while short oligonucleotides reveal rare single-base, μs-lived openings (Kop ~10^-6, kcl ~10^6/s).</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript portions describing hydrogen exchange theory, EX1/EX2, the two base-pair opening modes, the soliton traveling loop hypothesis, length dependence, and biological implications as presented in the article.<br />- transcript topics: Hydrogen exchange theory and Eigen proton-transfer foundations; H-T exchange in long polynucleotides (1000+ bp) and EX1 vs EX2 interpretation; H-H exchange by NMR in short oligonucleotides and its constraints; Two base-pair opening modes: single-base openings (EX1-dominated) and multi-base open loops (EX2-dominated); Soliton traveling loop hypothesis and migration along DNA; Length dependence reconciles datasets (native long DNA vs short oligonucleotides)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- There are two base-pair opening modes: single-base openings detected by NMR on short oligonucleotides and multi-base open loops observed in long polynucleotides<br />- HT (tritium) exchange reports ms-lived open loops with Kop ~ 10^-2 and kcl ~ 20 s^-1 in long polynucleotides, with open-state population Kop ~ 10^-2 (~1%)<br />- HH-NMR exchange on short oligonucleotides reports μs-lived single-base openings with Kop ~ 10^-6 and very low open-state population<br />- A traveling soliton-like loop mechanism is proposed to explain how open states migrate along DNA and expose sequences<br />- Length of nucleic acid dictates which HX method observes which opening mode, reconciling historical discrepancies<br />- Cryo-EM is proposed as a future method to visualize soliton-like waves and validate the hypothesis</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Englander SW et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2520855122 - Hydrogen exchange (H-T and NMR H-H) on DNA and RNA reveals two distinct base-pair opening modes: single-base microsecond openings and multi-base millisecond soliton-like loops. Key terms: hydrogen exchange, DNA dynamics, base pair opening, soliton, H-T exchange.
 Study Highlights:Systems studied include long polynucleotides (DNA, duplex RNA, synthetic long duplexes) and short oligonucleotides; key methods are H-T (tritium) exchange, stopped-flow H-D, and NMR H-H (water relaxation) measurements. H-T exchange of long polymers reports opening-limited EX1 imino exchange with kop ~1/s, reclosing kcl ~20/s and Kop ~10^-2 consistent with multi-base open loops with ms lifetimes. NMR H-H on short oligos reports catalyzable EX2 behavior dominated by single base-pair openings with kcl ~10^6/s and Kop ~10^-6 and microsecond lifetimes. The selective detection implies short oligonucleotides cannot host extensive loops while multi-base soliton-like loops in polynucleotides could dynamically expose sequences for protein or nucleic acid recognition.
 Conclusion:Both H-T and NMR H-H exchange provide accurate but complementary views: long polynucleotides exhibit frequent multi-base, ms-lived open loops (Kop ~10^-2, kcl ~20/s) while short oligonucleotides reveal rare single-base, μs-lived openings (Kop ~10^-6, kcl ~10^6/s).
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript portions describing hydrogen exchange theory, EX1/EX2, the two base-pair opening modes, the soliton traveling loop hypothesis, length dependence, and biological implications as presented in the article.- transcript topics: Hydrogen exchange theory and Eigen proton-transfer foundations; H-T exchange in long polynucleotides (1000+ bp) and EX1 vs EX2 interpretation; H-H exchange by NMR in short oligonucleotides and its constraints; Two base-pair opening modes: single-base openings (EX1-dominated) and multi-base open loops (EX2-dominated); Soliton traveling loop hypothesis and migration along DNA; Length dependence reconciles datasets (native long DNA vs short oligonucleotides)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- There are two base-pair opening modes: single-base openings detected by NMR on short oligonucleotides and multi-base open loops observed in long polynucleotides- HT (tritium) exchange reports ms-lived open loops with Kop ~ 10^-2 and kcl ~ 20 s^-1 in long polynucleotides, with open-state population Kop ~ 10^-2 (~1%)- HH-NMR exchange on short oligonucleotides reports μs-lived single-base openings with Kop ~ 10^-6 and very low open-state population- A traveling soliton-like loop mechanism is proposed to explain how open states migrate along DNA and expose sequences- Length of nucleic acid dictates which HX method observes which opening mode, reconciling historical discrepancies- Cryo-EM is proposed as a future method to visualize soliton-like waves and validate the hypothesis
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2333709/c1a-p6xp7-6z8w220vhpxn-6hsq2c.png"></itunes:image>
                                                                            <itunes:duration>00:21:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2333709/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[266: TOP1α and TOP3β Differentially Regulate HPV31 Replication via R-loops and DNA Breaks]]>
                </title>
                <pubDate>Wed, 21 Jan 2026 06:47:30 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2331975</guid>
                                    <link>https://basebybase.castos.com/episodes/top1alpha-top3beta-hpv-replication</link>
                                <description>
                                            <![CDATA[<p>Vatsa A et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123 - In HPV31-positive keratinocytes (CIN612), TOP1α and TOP3β are upregulated and required for viral transcription and replication, acting via distinct effects on R-loop accumulation and topoisomerase-mediated DNA breaks. Key terms: HPV31, TOP1α, TOP3β, R-loops, DNA breaks.</p>
<p> Study Highlights:<br />Using HPV31-positive CIN612 cells and primary HFK controls, the authors applied ChIP, RADAR, DRIP, alkaline COMET, RNA-seq, and shRNA knockdown to map topoisomerase binding and function. They found TOP1α and TOP3β, but not TOP3α, are elevated in HPV-positive cells and bind the viral URR, and that shRNA depletion of TOP1α or TOP3β reduced episomal viral DNA and early viral transcripts. Knockdown decreased DNA breaks (~50% reduction in COMET tail formation and reduced γH2AX) and altered R-loop levels differentially, with TOP1α depletion increasing viral R-loops by ~50% and TOP3β depletion causing &gt;3-fold R-loop accumulation at viral and cellular loci. Transcriptome changes included reduced IL6/STAT3-AKT signaling after TOP1α loss and marked downregulation of EGR3 (&gt;5-fold) after TOP3β loss, linking distinct mechanistic effects to impaired viral replication.</p>
<p> Conclusion:<br />TOP1α and TOP3β are differentially required for maintenance of HPV episomes and viral gene expression through distinct regulation of DNA breaks, R-loop dynamics, and specific host signaling pathways.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Differential roles of type I topoisomerases in regulating HPV pathogenesis</p>
<p> First author:<br />Vatsa A</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123</p>
<p> DOI:<br />10.1073/pnas.2526296123</p>
<p> Reference:<br />Vatsa A, Templeton CW, Laimins L. Differential roles of type I topoisomerases in regulating HPV pathogenesis. Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123. https://doi.org/10.1073/pnas.2526296123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/top1alpha-top3beta-hpv-replication</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections covering HPV biology and torsional stress, TOP1α/TOP3β (and TOP3α) roles, URR binding and episomal maintenance, knockdown effects on viral DNA and transcription, R-loop dynamics (DRIP), DNA breaks (COMET, γH2AX, TOP1cc/TOP3cc), DDR involvement, and host signaling changes (IL-6/STAT3-AKT, EGR3).<br />- transcript topics: HPV-induced torsional stress and topoisomerase roles; TOP1α, TOP3β, and TOP3α expression in HPV-positive cells; Binding of TOP1α and TOP3β to the HPV URR and episomal maintenance; shRNA knockdown effects on HPV genome levels and viral transcription; R-loop dynamics and DRIP analyses; DNA damage and TOP1cc/TOP3cc formation; γH2AX and COMET results</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TOP1α and TOP3β are elevated in HP...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - How HPV solves its torsional stress</li><li>(00:02:49) - How do HPV mutations cause cancer?</li><li>(00:06:16) -  HPV cell cancer</li><li>(00:10:12) -  HPV cancer: The DNA damage crisis</li><li>(00:13:54) - Untie the Loop</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Vatsa A et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123 - In HPV31-positive keratinocytes (CIN612), TOP1α and TOP3β are upregulated and required for viral transcription and replication, acting via distinct effects on R-loop accumulation and topoisomerase-mediated DNA breaks. Key terms: HPV31, TOP1α, TOP3β, R-loops, DNA breaks.
 Study Highlights:Using HPV31-positive CIN612 cells and primary HFK controls, the authors applied ChIP, RADAR, DRIP, alkaline COMET, RNA-seq, and shRNA knockdown to map topoisomerase binding and function. They found TOP1α and TOP3β, but not TOP3α, are elevated in HPV-positive cells and bind the viral URR, and that shRNA depletion of TOP1α or TOP3β reduced episomal viral DNA and early viral transcripts. Knockdown decreased DNA breaks (~50% reduction in COMET tail formation and reduced γH2AX) and altered R-loop levels differentially, with TOP1α depletion increasing viral R-loops by ~50% and TOP3β depletion causing >3-fold R-loop accumulation at viral and cellular loci. Transcriptome changes included reduced IL6/STAT3-AKT signaling after TOP1α loss and marked downregulation of EGR3 (>5-fold) after TOP3β loss, linking distinct mechanistic effects to impaired viral replication.
 Conclusion:TOP1α and TOP3β are differentially required for maintenance of HPV episomes and viral gene expression through distinct regulation of DNA breaks, R-loop dynamics, and specific host signaling pathways.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Differential roles of type I topoisomerases in regulating HPV pathogenesis
 First author:Vatsa A
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123
 DOI:10.1073/pnas.2526296123
 Reference:Vatsa A, Templeton CW, Laimins L. Differential roles of type I topoisomerases in regulating HPV pathogenesis. Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123. https://doi.org/10.1073/pnas.2526296123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/top1alpha-top3beta-hpv-replication
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections covering HPV biology and torsional stress, TOP1α/TOP3β (and TOP3α) roles, URR binding and episomal maintenance, knockdown effects on viral DNA and transcription, R-loop dynamics (DRIP), DNA breaks (COMET, γH2AX, TOP1cc/TOP3cc), DDR involvement, and host signaling changes (IL-6/STAT3-AKT, EGR3).- transcript topics: HPV-induced torsional stress and topoisomerase roles; TOP1α, TOP3β, and TOP3α expression in HPV-positive cells; Binding of TOP1α and TOP3β to the HPV URR and episomal maintenance; shRNA knockdown effects on HPV genome levels and viral transcription; R-loop dynamics and DRIP analyses; DNA damage and TOP1cc/TOP3cc formation; γH2AX and COMET results
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- TOP1α and TOP3β are elevated in HP...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[266: TOP1α and TOP3β Differentially Regulate HPV31 Replication via R-loops and DNA Breaks]]>
                </itunes:title>
                                    <itunes:episode>266</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
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                    <![CDATA[<p>Vatsa A et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123 - In HPV31-positive keratinocytes (CIN612), TOP1α and TOP3β are upregulated and required for viral transcription and replication, acting via distinct effects on R-loop accumulation and topoisomerase-mediated DNA breaks. Key terms: HPV31, TOP1α, TOP3β, R-loops, DNA breaks.</p>
<p> Study Highlights:<br />Using HPV31-positive CIN612 cells and primary HFK controls, the authors applied ChIP, RADAR, DRIP, alkaline COMET, RNA-seq, and shRNA knockdown to map topoisomerase binding and function. They found TOP1α and TOP3β, but not TOP3α, are elevated in HPV-positive cells and bind the viral URR, and that shRNA depletion of TOP1α or TOP3β reduced episomal viral DNA and early viral transcripts. Knockdown decreased DNA breaks (~50% reduction in COMET tail formation and reduced γH2AX) and altered R-loop levels differentially, with TOP1α depletion increasing viral R-loops by ~50% and TOP3β depletion causing &gt;3-fold R-loop accumulation at viral and cellular loci. Transcriptome changes included reduced IL6/STAT3-AKT signaling after TOP1α loss and marked downregulation of EGR3 (&gt;5-fold) after TOP3β loss, linking distinct mechanistic effects to impaired viral replication.</p>
<p> Conclusion:<br />TOP1α and TOP3β are differentially required for maintenance of HPV episomes and viral gene expression through distinct regulation of DNA breaks, R-loop dynamics, and specific host signaling pathways.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Differential roles of type I topoisomerases in regulating HPV pathogenesis</p>
<p> First author:<br />Vatsa A</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123</p>
<p> DOI:<br />10.1073/pnas.2526296123</p>
<p> Reference:<br />Vatsa A, Templeton CW, Laimins L. Differential roles of type I topoisomerases in regulating HPV pathogenesis. Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123. https://doi.org/10.1073/pnas.2526296123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/top1alpha-top3beta-hpv-replication</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections covering HPV biology and torsional stress, TOP1α/TOP3β (and TOP3α) roles, URR binding and episomal maintenance, knockdown effects on viral DNA and transcription, R-loop dynamics (DRIP), DNA breaks (COMET, γH2AX, TOP1cc/TOP3cc), DDR involvement, and host signaling changes (IL-6/STAT3-AKT, EGR3).<br />- transcript topics: HPV-induced torsional stress and topoisomerase roles; TOP1α, TOP3β, and TOP3α expression in HPV-positive cells; Binding of TOP1α and TOP3β to the HPV URR and episomal maintenance; shRNA knockdown effects on HPV genome levels and viral transcription; R-loop dynamics and DRIP analyses; DNA damage and TOP1cc/TOP3cc formation; γH2AX and COMET results</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TOP1α and TOP3β are elevated in HPV-positive cells and bound to the HPV genome URR, while TOP3α is not bound to URR and is not essential for replication/transcription.<br />- Knockdown of TOP1α or TOP3β reduces HPV episome DNA and early viral transcripts (E1, E2, E6, E7).<br />- TOP1α depletion increases viral R-loops; TOP3β depletion increases R-loops more dramatically (greater than 3-fold).<br />- TOP1α and TOP3β knockdown reduces DNA breaks (COMET tail moment ~50% reduction; γH2AX decreases).<br />- TOP1α and TOP3β depletion reduces TOP1cc/TOP3cc formation; R-loop recruitment factors (DHX9, POLR3H) are modulated accordingly.<br />- Expression of HPV oncoproteins E6 and E7 upregulates TOP1α and TOP3β.</p>
<p>QC result: Pass.</p>]]>
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                    <![CDATA[Vatsa A et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123 - In HPV31-positive keratinocytes (CIN612), TOP1α and TOP3β are upregulated and required for viral transcription and replication, acting via distinct effects on R-loop accumulation and topoisomerase-mediated DNA breaks. Key terms: HPV31, TOP1α, TOP3β, R-loops, DNA breaks.
 Study Highlights:Using HPV31-positive CIN612 cells and primary HFK controls, the authors applied ChIP, RADAR, DRIP, alkaline COMET, RNA-seq, and shRNA knockdown to map topoisomerase binding and function. They found TOP1α and TOP3β, but not TOP3α, are elevated in HPV-positive cells and bind the viral URR, and that shRNA depletion of TOP1α or TOP3β reduced episomal viral DNA and early viral transcripts. Knockdown decreased DNA breaks (~50% reduction in COMET tail formation and reduced γH2AX) and altered R-loop levels differentially, with TOP1α depletion increasing viral R-loops by ~50% and TOP3β depletion causing >3-fold R-loop accumulation at viral and cellular loci. Transcriptome changes included reduced IL6/STAT3-AKT signaling after TOP1α loss and marked downregulation of EGR3 (>5-fold) after TOP3β loss, linking distinct mechanistic effects to impaired viral replication.
 Conclusion:TOP1α and TOP3β are differentially required for maintenance of HPV episomes and viral gene expression through distinct regulation of DNA breaks, R-loop dynamics, and specific host signaling pathways.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Differential roles of type I topoisomerases in regulating HPV pathogenesis
 First author:Vatsa A
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123
 DOI:10.1073/pnas.2526296123
 Reference:Vatsa A, Templeton CW, Laimins L. Differential roles of type I topoisomerases in regulating HPV pathogenesis. Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2526296123. https://doi.org/10.1073/pnas.2526296123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/top1alpha-top3beta-hpv-replication
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections covering HPV biology and torsional stress, TOP1α/TOP3β (and TOP3α) roles, URR binding and episomal maintenance, knockdown effects on viral DNA and transcription, R-loop dynamics (DRIP), DNA breaks (COMET, γH2AX, TOP1cc/TOP3cc), DDR involvement, and host signaling changes (IL-6/STAT3-AKT, EGR3).- transcript topics: HPV-induced torsional stress and topoisomerase roles; TOP1α, TOP3β, and TOP3α expression in HPV-positive cells; Binding of TOP1α and TOP3β to the HPV URR and episomal maintenance; shRNA knockdown effects on HPV genome levels and viral transcription; R-loop dynamics and DRIP analyses; DNA damage and TOP1cc/TOP3cc formation; γH2AX and COMET results
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- TOP1α and TOP3β are elevated in HP...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:17:03</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                <title>
                    <![CDATA[265: ANTSR lncRNA and the conserved multiallelic sex-determining locus across Aculeata]]>
                </title>
                <pubDate>Tue, 20 Jan 2026 05:51:41 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                    <link>https://basebybase.castos.com/episodes/antsr-aculeata-sex-locus</link>
                                <description>
                                            <![CDATA[<p>Yu C et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2522417123 - Genetic mapping and comparative genomics show the lncRNA ANTSR multiallelic locus in Aculeata directs female development via heterozygosity despite lacking sequence homology. Key terms: ANTSR, Aculeata, lncRNA, complementary sex determination, heterozygosity.</p>
<p> Study Highlights:<br />The study analyzed 41 hymenopteran genomes and performed whole-genome resequencing and genetic mapping in Bombus terrestris and Vespa velutina nigrithorax to locate the sex-determining region. The ANTSR locus is a multiallelic noncoding interval between CRELD2 and THUMPD3 that is highly polymorphic and heterozygous in females but homozygous in diploid males across ants, bumblebees, and hornets. Comparative synteny shows the CRELD2–THUMPD3 block originated ~160–200 Mya and the locus has functioned as a zygosity-based female determinant for over 150 million years. Despite this deep functional conservation, alignments and phastCons analyses reveal no detectable sequence homology among distant aculeate lineages, and heterozygosity at ANTSR provides an actionable molecular sex marker for breeding and conservation.</p>
<p> Conclusion:<br />The ANTSR multiallelic noncoding locus is an ancient, positionally conserved zygosity-based sex determinant across Aculeata that has retained function for over 150 million years despite complete sequence divergence.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Deep evolutionary conservation of a sex-determining locus without sequence homology</p>
<p> First author:<br />Yu C</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2522417123</p>
<p> DOI:<br />10.1073/pnas.2522417123</p>
<p> Reference:<br />Yu C, Moog S, Pan Q, Keller Valsecchi CI, Dupont S, Darrouzet E, Darras H, Hodapp D, Colgan TJ, et al. Deep evolutionary conservation of a sex-determining locus without sequence homology. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2522417123. https://doi.org/10.1073/pnas.2522417123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/antsr-aculeata-sex-locus</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript sections describing: (1) haplodiploid sex determination in Hymenoptera; (2) ANTSR locus and its position between CRELD2 and THUMPD3; (3) heterozygosity-dependent female development demonstrated in Bombus terrestris and Vespa velutina; (4) ANTSR as a long noncoding RNA; (5) absence of<br />- transcript topics: haplodiploid sex determination in Hymenoptera; ANTSR locus and CRELD2–THUMPD3 synteny; heterozygosity-based female determination at ANTSR; Bombus terrestris: lab crosses and diploid male production; Vespa velutina nigrithorax: field data and haplotype diversity; ANTSR as a long noncoding RNA</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ANTSR locus is a multiallelic noncoding region that determi...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Yu C et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2522417123 - Genetic mapping and comparative genomics show the lncRNA ANTSR multiallelic locus in Aculeata directs female development via heterozygosity despite lacking sequence homology. Key terms: ANTSR, Aculeata, lncRNA, complementary sex determination, heterozygosity.
 Study Highlights:The study analyzed 41 hymenopteran genomes and performed whole-genome resequencing and genetic mapping in Bombus terrestris and Vespa velutina nigrithorax to locate the sex-determining region. The ANTSR locus is a multiallelic noncoding interval between CRELD2 and THUMPD3 that is highly polymorphic and heterozygous in females but homozygous in diploid males across ants, bumblebees, and hornets. Comparative synteny shows the CRELD2–THUMPD3 block originated ~160–200 Mya and the locus has functioned as a zygosity-based female determinant for over 150 million years. Despite this deep functional conservation, alignments and phastCons analyses reveal no detectable sequence homology among distant aculeate lineages, and heterozygosity at ANTSR provides an actionable molecular sex marker for breeding and conservation.
 Conclusion:The ANTSR multiallelic noncoding locus is an ancient, positionally conserved zygosity-based sex determinant across Aculeata that has retained function for over 150 million years despite complete sequence divergence.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Deep evolutionary conservation of a sex-determining locus without sequence homology
 First author:Yu C
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2522417123
 DOI:10.1073/pnas.2522417123
 Reference:Yu C, Moog S, Pan Q, Keller Valsecchi CI, Dupont S, Darrouzet E, Darras H, Hodapp D, Colgan TJ, et al. Deep evolutionary conservation of a sex-determining locus without sequence homology. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2522417123. https://doi.org/10.1073/pnas.2522417123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/antsr-aculeata-sex-locus
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript sections describing: (1) haplodiploid sex determination in Hymenoptera; (2) ANTSR locus and its position between CRELD2 and THUMPD3; (3) heterozygosity-dependent female development demonstrated in Bombus terrestris and Vespa velutina; (4) ANTSR as a long noncoding RNA; (5) absence of- transcript topics: haplodiploid sex determination in Hymenoptera; ANTSR locus and CRELD2–THUMPD3 synteny; heterozygosity-based female determination at ANTSR; Bombus terrestris: lab crosses and diploid male production; Vespa velutina nigrithorax: field data and haplotype diversity; ANTSR as a long noncoding RNA
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- ANTSR locus is a multiallelic noncoding region that determi...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[265: ANTSR lncRNA and the conserved multiallelic sex-determining locus across Aculeata]]>
                </itunes:title>
                                    <itunes:episode>265</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Yu C et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2522417123 - Genetic mapping and comparative genomics show the lncRNA ANTSR multiallelic locus in Aculeata directs female development via heterozygosity despite lacking sequence homology. Key terms: ANTSR, Aculeata, lncRNA, complementary sex determination, heterozygosity.</p>
<p> Study Highlights:<br />The study analyzed 41 hymenopteran genomes and performed whole-genome resequencing and genetic mapping in Bombus terrestris and Vespa velutina nigrithorax to locate the sex-determining region. The ANTSR locus is a multiallelic noncoding interval between CRELD2 and THUMPD3 that is highly polymorphic and heterozygous in females but homozygous in diploid males across ants, bumblebees, and hornets. Comparative synteny shows the CRELD2–THUMPD3 block originated ~160–200 Mya and the locus has functioned as a zygosity-based female determinant for over 150 million years. Despite this deep functional conservation, alignments and phastCons analyses reveal no detectable sequence homology among distant aculeate lineages, and heterozygosity at ANTSR provides an actionable molecular sex marker for breeding and conservation.</p>
<p> Conclusion:<br />The ANTSR multiallelic noncoding locus is an ancient, positionally conserved zygosity-based sex determinant across Aculeata that has retained function for over 150 million years despite complete sequence divergence.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Deep evolutionary conservation of a sex-determining locus without sequence homology</p>
<p> First author:<br />Yu C</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2522417123</p>
<p> DOI:<br />10.1073/pnas.2522417123</p>
<p> Reference:<br />Yu C, Moog S, Pan Q, Keller Valsecchi CI, Dupont S, Darrouzet E, Darras H, Hodapp D, Colgan TJ, et al. Deep evolutionary conservation of a sex-determining locus without sequence homology. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2522417123. https://doi.org/10.1073/pnas.2522417123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/antsr-aculeata-sex-locus</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript sections describing: (1) haplodiploid sex determination in Hymenoptera; (2) ANTSR locus and its position between CRELD2 and THUMPD3; (3) heterozygosity-dependent female development demonstrated in Bombus terrestris and Vespa velutina; (4) ANTSR as a long noncoding RNA; (5) absence of<br />- transcript topics: haplodiploid sex determination in Hymenoptera; ANTSR locus and CRELD2–THUMPD3 synteny; heterozygosity-based female determination at ANTSR; Bombus terrestris: lab crosses and diploid male production; Vespa velutina nigrithorax: field data and haplotype diversity; ANTSR as a long noncoding RNA</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ANTSR locus is a multiallelic noncoding region that determines female development via heterozygosity.<br />- ANTSR locus is located between CRELD2 and THUMPD3; synteny preserved across Aculeata with origin ~160–200 Myr ago.<br />- In Bombus terrestris, crosses yield diploid males; females are heterozygous at the ANTSR locus and diploid males are homozygous at that region.<br />- In Vespa velutina nigrithorax, a 13.3 kb interval on chromosome 23 shows female–heterozygous/diploid male–homozygous patterns; four haplotypes observed in France.<br />- ANTSR encodes a long noncoding RNA; sequence conservation across Aculeata is not detectable.<br />- Honey bees lost the ANTSR system and use csd as the primary sex determiner.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Yu C et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2522417123 - Genetic mapping and comparative genomics show the lncRNA ANTSR multiallelic locus in Aculeata directs female development via heterozygosity despite lacking sequence homology. Key terms: ANTSR, Aculeata, lncRNA, complementary sex determination, heterozygosity.
 Study Highlights:The study analyzed 41 hymenopteran genomes and performed whole-genome resequencing and genetic mapping in Bombus terrestris and Vespa velutina nigrithorax to locate the sex-determining region. The ANTSR locus is a multiallelic noncoding interval between CRELD2 and THUMPD3 that is highly polymorphic and heterozygous in females but homozygous in diploid males across ants, bumblebees, and hornets. Comparative synteny shows the CRELD2–THUMPD3 block originated ~160–200 Mya and the locus has functioned as a zygosity-based female determinant for over 150 million years. Despite this deep functional conservation, alignments and phastCons analyses reveal no detectable sequence homology among distant aculeate lineages, and heterozygosity at ANTSR provides an actionable molecular sex marker for breeding and conservation.
 Conclusion:The ANTSR multiallelic noncoding locus is an ancient, positionally conserved zygosity-based sex determinant across Aculeata that has retained function for over 150 million years despite complete sequence divergence.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Deep evolutionary conservation of a sex-determining locus without sequence homology
 First author:Yu C
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2522417123
 DOI:10.1073/pnas.2522417123
 Reference:Yu C, Moog S, Pan Q, Keller Valsecchi CI, Dupont S, Darrouzet E, Darras H, Hodapp D, Colgan TJ, et al. Deep evolutionary conservation of a sex-determining locus without sequence homology. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2522417123. https://doi.org/10.1073/pnas.2522417123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/antsr-aculeata-sex-locus
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript sections describing: (1) haplodiploid sex determination in Hymenoptera; (2) ANTSR locus and its position between CRELD2 and THUMPD3; (3) heterozygosity-dependent female development demonstrated in Bombus terrestris and Vespa velutina; (4) ANTSR as a long noncoding RNA; (5) absence of- transcript topics: haplodiploid sex determination in Hymenoptera; ANTSR locus and CRELD2–THUMPD3 synteny; heterozygosity-based female determination at ANTSR; Bombus terrestris: lab crosses and diploid male production; Vespa velutina nigrithorax: field data and haplotype diversity; ANTSR as a long noncoding RNA
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- ANTSR locus is a multiallelic noncoding region that determi...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2330356/c1a-p6xp7-ok03oo8nfj3z-uq7lyx.png"></itunes:image>
                                                                            <itunes:duration>00:17:51</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[264: Single-TF rejuvenation: EZH2, E2F3, STAT3, ZFX identified by TRDP/Perturb-seq rejuvenate human fibroblasts and mouse liver]]>
                </title>
                <pubDate>Mon, 19 Jan 2026 06:11:15 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2329291</guid>
                                    <link>https://basebybase.castos.com/episodes/ezh2-liver-rejuvenation</link>
                                <description>
                                            <![CDATA[<p>Sengstack J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2515183123 - TRDP with Perturb-seq in human fibroblasts found that manipulating TFs (EZH2, E2F3, STAT3, ZFX) reversed aging hallmarks, and EZH2 overexpression rejuvenated aged mouse livers. Key terms: EZH2, E2F3, Perturb-seq, liver rejuvenation, transcription factor.</p>
<p> Study Highlights:<br />The study used passaged human neonatal dermal fibroblasts and aged mouse liver as model systems and applied the Transcriptional Rejuvenation Discovery Platform (TRDP) with Perturb-seq and CRISPRa/CRISPRi screens. Overexpressing E2F3 or EZH2 and repressing STAT3 or ZFX reversed global gene expression toward earlier passage states and ameliorated cellular aging hallmarks including increased proliferation, proteasome activity, and mitochondrial function. In aged mice, AAV8-mediated liver-specific EZH2 overexpression (log2fc ≈ 2.9) reversed thousands of age-associated gene changes (R_rej = -0.42), reduced steatosis and fibrosis, and improved glucose tolerance. Downstream transcriptional programs converged across perturbations, suggesting shared molecular requirements for cellular and tissue rejuvenation.</p>
<p> Conclusion:<br />Single transcription factor perturbations identified by TRDP can reverse cellular aging hallmarks in human fibroblasts and, in the case of EZH2 overexpression, partially rejuvenate aged mouse liver with improved histology and glucose tolerance.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Systematic identification of single transcription factor perturbations that drive cellular and tissue rejuvenation</p>
<p> First author:<br />Sengstack J</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2515183123</p>
<p> DOI:<br />10.1073/pnas.2515183123</p>
<p> Reference:<br />Sengstack J, Li H, Aghayev T, Bier G, Mobaraki M, Zheng J, Lin J, Deng C, Villeda SA, et al. Systematic identification of single transcription factor perturbations that drive cellular and tissue rejuvenation. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2515183123. Published January 9, 2026. https://doi.org/10.1073/pnas.2515183123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ezh2-liver-rejuvenation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing the TRDP platform, identification of four rejuvenating TF perturbations, in vitro cellular aging hallmarks, in vivo liver experiments with EZH2, safety considerations, and broader implications of aging as a programmable, reversible state.<br />- transcript topics: TRDP platform and Perturb-seq workflow; Top rejuvenating TF perturbations: E2F3, EZH2, STAT3, ZFX; In vitro reversal of aging hallmarks in late-passage fibroblasts; In vivo liver rejuvenation in aged mice via EZH2 overexpression; Cancer risk considerations and mesenchymal drift; Broader implications and potential organ-wide applications of TRDP</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br /></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sengstack J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2515183123 - TRDP with Perturb-seq in human fibroblasts found that manipulating TFs (EZH2, E2F3, STAT3, ZFX) reversed aging hallmarks, and EZH2 overexpression rejuvenated aged mouse livers. Key terms: EZH2, E2F3, Perturb-seq, liver rejuvenation, transcription factor.
 Study Highlights:The study used passaged human neonatal dermal fibroblasts and aged mouse liver as model systems and applied the Transcriptional Rejuvenation Discovery Platform (TRDP) with Perturb-seq and CRISPRa/CRISPRi screens. Overexpressing E2F3 or EZH2 and repressing STAT3 or ZFX reversed global gene expression toward earlier passage states and ameliorated cellular aging hallmarks including increased proliferation, proteasome activity, and mitochondrial function. In aged mice, AAV8-mediated liver-specific EZH2 overexpression (log2fc ≈ 2.9) reversed thousands of age-associated gene changes (R_rej = -0.42), reduced steatosis and fibrosis, and improved glucose tolerance. Downstream transcriptional programs converged across perturbations, suggesting shared molecular requirements for cellular and tissue rejuvenation.
 Conclusion:Single transcription factor perturbations identified by TRDP can reverse cellular aging hallmarks in human fibroblasts and, in the case of EZH2 overexpression, partially rejuvenate aged mouse liver with improved histology and glucose tolerance.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Systematic identification of single transcription factor perturbations that drive cellular and tissue rejuvenation
 First author:Sengstack J
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2515183123
 DOI:10.1073/pnas.2515183123
 Reference:Sengstack J, Li H, Aghayev T, Bier G, Mobaraki M, Zheng J, Lin J, Deng C, Villeda SA, et al. Systematic identification of single transcription factor perturbations that drive cellular and tissue rejuvenation. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2515183123. Published January 9, 2026. https://doi.org/10.1073/pnas.2515183123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ezh2-liver-rejuvenation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing the TRDP platform, identification of four rejuvenating TF perturbations, in vitro cellular aging hallmarks, in vivo liver experiments with EZH2, safety considerations, and broader implications of aging as a programmable, reversible state.- transcript topics: TRDP platform and Perturb-seq workflow; Top rejuvenating TF perturbations: E2F3, EZH2, STAT3, ZFX; In vitro reversal of aging hallmarks in late-passage fibroblasts; In vivo liver rejuvenation in aged mice via EZH2 overexpression; Cancer risk considerations and mesenchymal drift; Broader implications and potential organ-wide applications of TRDP
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[264: Single-TF rejuvenation: EZH2, E2F3, STAT3, ZFX identified by TRDP/Perturb-seq rejuvenate human fibroblasts and mouse liver]]>
                </itunes:title>
                                    <itunes:episode>264</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sengstack J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2515183123 - TRDP with Perturb-seq in human fibroblasts found that manipulating TFs (EZH2, E2F3, STAT3, ZFX) reversed aging hallmarks, and EZH2 overexpression rejuvenated aged mouse livers. Key terms: EZH2, E2F3, Perturb-seq, liver rejuvenation, transcription factor.</p>
<p> Study Highlights:<br />The study used passaged human neonatal dermal fibroblasts and aged mouse liver as model systems and applied the Transcriptional Rejuvenation Discovery Platform (TRDP) with Perturb-seq and CRISPRa/CRISPRi screens. Overexpressing E2F3 or EZH2 and repressing STAT3 or ZFX reversed global gene expression toward earlier passage states and ameliorated cellular aging hallmarks including increased proliferation, proteasome activity, and mitochondrial function. In aged mice, AAV8-mediated liver-specific EZH2 overexpression (log2fc ≈ 2.9) reversed thousands of age-associated gene changes (R_rej = -0.42), reduced steatosis and fibrosis, and improved glucose tolerance. Downstream transcriptional programs converged across perturbations, suggesting shared molecular requirements for cellular and tissue rejuvenation.</p>
<p> Conclusion:<br />Single transcription factor perturbations identified by TRDP can reverse cellular aging hallmarks in human fibroblasts and, in the case of EZH2 overexpression, partially rejuvenate aged mouse liver with improved histology and glucose tolerance.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Systematic identification of single transcription factor perturbations that drive cellular and tissue rejuvenation</p>
<p> First author:<br />Sengstack J</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2515183123</p>
<p> DOI:<br />10.1073/pnas.2515183123</p>
<p> Reference:<br />Sengstack J, Li H, Aghayev T, Bier G, Mobaraki M, Zheng J, Lin J, Deng C, Villeda SA, et al. Systematic identification of single transcription factor perturbations that drive cellular and tissue rejuvenation. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2515183123. Published January 9, 2026. https://doi.org/10.1073/pnas.2515183123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ezh2-liver-rejuvenation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing the TRDP platform, identification of four rejuvenating TF perturbations, in vitro cellular aging hallmarks, in vivo liver experiments with EZH2, safety considerations, and broader implications of aging as a programmable, reversible state.<br />- transcript topics: TRDP platform and Perturb-seq workflow; Top rejuvenating TF perturbations: E2F3, EZH2, STAT3, ZFX; In vitro reversal of aging hallmarks in late-passage fibroblasts; In vivo liver rejuvenation in aged mice via EZH2 overexpression; Cancer risk considerations and mesenchymal drift; Broader implications and potential organ-wide applications of TRDP</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- TRDP identifies single TF perturbations that promote rejuvenation without dedifferentiation<br />- Four TF perturbations (E2F3, EZH2, STAT3, ZFX) reverse aging hallmarks in late-passage human fibroblasts<br />- EZH2 overexpression in aged mouse liver reverses aging-associated gene expression and improves steatosis, fibrosis, and glucose tolerance within three weeks<br />- TF perturbations do not induce cancer-like transcriptome changes; no resemblance to oncogenic programs<br />- Aging may reflect an epigenetic/operating-system-like state that can be reset by targeted TF perturbations<br />- TRDP has potential for translation to other organs, per discussion in the article</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Sengstack J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2515183123 - TRDP with Perturb-seq in human fibroblasts found that manipulating TFs (EZH2, E2F3, STAT3, ZFX) reversed aging hallmarks, and EZH2 overexpression rejuvenated aged mouse livers. Key terms: EZH2, E2F3, Perturb-seq, liver rejuvenation, transcription factor.
 Study Highlights:The study used passaged human neonatal dermal fibroblasts and aged mouse liver as model systems and applied the Transcriptional Rejuvenation Discovery Platform (TRDP) with Perturb-seq and CRISPRa/CRISPRi screens. Overexpressing E2F3 or EZH2 and repressing STAT3 or ZFX reversed global gene expression toward earlier passage states and ameliorated cellular aging hallmarks including increased proliferation, proteasome activity, and mitochondrial function. In aged mice, AAV8-mediated liver-specific EZH2 overexpression (log2fc ≈ 2.9) reversed thousands of age-associated gene changes (R_rej = -0.42), reduced steatosis and fibrosis, and improved glucose tolerance. Downstream transcriptional programs converged across perturbations, suggesting shared molecular requirements for cellular and tissue rejuvenation.
 Conclusion:Single transcription factor perturbations identified by TRDP can reverse cellular aging hallmarks in human fibroblasts and, in the case of EZH2 overexpression, partially rejuvenate aged mouse liver with improved histology and glucose tolerance.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Systematic identification of single transcription factor perturbations that drive cellular and tissue rejuvenation
 First author:Sengstack J
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2515183123
 DOI:10.1073/pnas.2515183123
 Reference:Sengstack J, Li H, Aghayev T, Bier G, Mobaraki M, Zheng J, Lin J, Deng C, Villeda SA, et al. Systematic identification of single transcription factor perturbations that drive cellular and tissue rejuvenation. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2515183123. Published January 9, 2026. https://doi.org/10.1073/pnas.2515183123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ezh2-liver-rejuvenation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing the TRDP platform, identification of four rejuvenating TF perturbations, in vitro cellular aging hallmarks, in vivo liver experiments with EZH2, safety considerations, and broader implications of aging as a programmable, reversible state.- transcript topics: TRDP platform and Perturb-seq workflow; Top rejuvenating TF perturbations: E2F3, EZH2, STAT3, ZFX; In vitro reversal of aging hallmarks in late-passage fibroblasts; In vivo liver rejuvenation in aged mice via EZH2 overexpression; Cancer risk considerations and mesenchymal drift; Broader implications and potential organ-wide applications of TRDP
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2329291/c1a-p6xp7-1p2d88x7b3q8-duz98q.png"></itunes:image>
                                                                            <itunes:duration>00:19:44</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[263: Bifacial γPNA triplets target rCUG repeats and displace MBNL1 in Myotonic Dystrophy type 1]]>
                </title>
                <pubDate>Sun, 18 Jan 2026 22:19:16 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2329047</guid>
                                    <link>https://basebybase.castos.com/episodes/pothole-filling-rcug-gamma-pna</link>
                                <description>
                                            <![CDATA[<p>Perera J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2507065123 - Gamma-PNA triplet ligands with Janus bases selectively bind expanded rCUG repeats, displace MBNL1, and show length-dependent cooperativity with partial splicing rescue. Key terms: rCUG repeats, gamma PNA, Janus bases, MBNL1 displacement, myotonic dystrophy type 1.</p>
<p> Study Highlights:<br />The authors designed compact three-unit bifacial nucleic acid ligands (Janus bases on a γPNA backbone) and evaluated them against rCUG repeat duplexes and DM1 patient-derived myotubes using molecular dynamics, EMSA, SPR, AFM, and cellular splicing assays. MD and EMSA/SPR show cooperative, length-dependent binding with Kd values decreasing to ~0.56 µM for rCUG98 and Hill coefficients rising to ~5, driven by enhanced hydrogen-bonding and π–π stacking between adjacent ligands. AFM revealed a 0.348 nm increase in RNA helix contour height on binding, consistent with a pothole-filling insertion mechanism that selectively recognizes hairpin duplexes over single-stranded RNA. Functionally, a cell-permeable LG2c analog reduced nuclear foci and partially restored mis-splicing of Serca1, cTNT, and IR in DM1 myotubes, though cellular uptake remains limiting.</p>
<p> Conclusion:<br />Short bifacial γPNA triplet ligands selectively recognize pathogenic rCUG hairpins via a pothole-filling mechanism, displace MBNL1, and can partially restore splicing in DM1 myotubes while cellular delivery requires further optimization.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A pothole-filling strategy for selective targeting of rCUG-repeats associated with myotonic dystrophy type 1</p>
<p> First author:<br />Perera J</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2507065123</p>
<p> DOI:<br />10.1073/pnas.2507065123</p>
<p> Reference:<br />Perera J. D. R., Thadke S. A., Thrikawala S. W., Wilson W. D., Tan K. W. R., Chand N. Z. W., Phan A. T., Ly D. H., et al. A pothole-filling strategy for selective targeting of rCUG-repeats associated with myotonic dystrophy type 1. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2507065123. https://doi.org/10.1073/pnas.2507065123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pothole-filling-rcug-gamma-pna</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing (a) design of bifacial Janus bases on a gammaPNA backbone, (b) pothole-filling mechanism and cooperative binding to rCUG repeats, (c) selectivity for long pathogenic repeats vs. short normal repeats, (d) displacement of MBNL1, (e) splicing rescue in DM1 patient-derived myotube<br />- transcript topics: Janus bases and gammaPNA backbone design; Pothole-filling mechanism and RNA hairpin targeting; Cooperativity and length-dependent binding to rCUG repeats; Pathogenic vs normal repeat selectivity (rCUG98 vs rCUG33); MBNL1 displacement by LG2b; LG2c: cell uptake and rescue of splicing in DM1 myotubes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi&lt;...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Perera J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2507065123 - Gamma-PNA triplet ligands with Janus bases selectively bind expanded rCUG repeats, displace MBNL1, and show length-dependent cooperativity with partial splicing rescue. Key terms: rCUG repeats, gamma PNA, Janus bases, MBNL1 displacement, myotonic dystrophy type 1.
 Study Highlights:The authors designed compact three-unit bifacial nucleic acid ligands (Janus bases on a γPNA backbone) and evaluated them against rCUG repeat duplexes and DM1 patient-derived myotubes using molecular dynamics, EMSA, SPR, AFM, and cellular splicing assays. MD and EMSA/SPR show cooperative, length-dependent binding with Kd values decreasing to ~0.56 µM for rCUG98 and Hill coefficients rising to ~5, driven by enhanced hydrogen-bonding and π–π stacking between adjacent ligands. AFM revealed a 0.348 nm increase in RNA helix contour height on binding, consistent with a pothole-filling insertion mechanism that selectively recognizes hairpin duplexes over single-stranded RNA. Functionally, a cell-permeable LG2c analog reduced nuclear foci and partially restored mis-splicing of Serca1, cTNT, and IR in DM1 myotubes, though cellular uptake remains limiting.
 Conclusion:Short bifacial γPNA triplet ligands selectively recognize pathogenic rCUG hairpins via a pothole-filling mechanism, displace MBNL1, and can partially restore splicing in DM1 myotubes while cellular delivery requires further optimization.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A pothole-filling strategy for selective targeting of rCUG-repeats associated with myotonic dystrophy type 1
 First author:Perera J
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2507065123
 DOI:10.1073/pnas.2507065123
 Reference:Perera J. D. R., Thadke S. A., Thrikawala S. W., Wilson W. D., Tan K. W. R., Chand N. Z. W., Phan A. T., Ly D. H., et al. A pothole-filling strategy for selective targeting of rCUG-repeats associated with myotonic dystrophy type 1. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2507065123. https://doi.org/10.1073/pnas.2507065123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pothole-filling-rcug-gamma-pna
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing (a) design of bifacial Janus bases on a gammaPNA backbone, (b) pothole-filling mechanism and cooperative binding to rCUG repeats, (c) selectivity for long pathogenic repeats vs. short normal repeats, (d) displacement of MBNL1, (e) splicing rescue in DM1 patient-derived myotube- transcript topics: Janus bases and gammaPNA backbone design; Pothole-filling mechanism and RNA hairpin targeting; Cooperativity and length-dependent binding to rCUG repeats; Pathogenic vs normal repeat selectivity (rCUG98 vs rCUG33); MBNL1 displacement by LG2b; LG2c: cell uptake and rescue of splicing in DM1 myotubes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi<...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[263: Bifacial γPNA triplets target rCUG repeats and displace MBNL1 in Myotonic Dystrophy type 1]]>
                </itunes:title>
                                    <itunes:episode>263</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Perera J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2507065123 - Gamma-PNA triplet ligands with Janus bases selectively bind expanded rCUG repeats, displace MBNL1, and show length-dependent cooperativity with partial splicing rescue. Key terms: rCUG repeats, gamma PNA, Janus bases, MBNL1 displacement, myotonic dystrophy type 1.</p>
<p> Study Highlights:<br />The authors designed compact three-unit bifacial nucleic acid ligands (Janus bases on a γPNA backbone) and evaluated them against rCUG repeat duplexes and DM1 patient-derived myotubes using molecular dynamics, EMSA, SPR, AFM, and cellular splicing assays. MD and EMSA/SPR show cooperative, length-dependent binding with Kd values decreasing to ~0.56 µM for rCUG98 and Hill coefficients rising to ~5, driven by enhanced hydrogen-bonding and π–π stacking between adjacent ligands. AFM revealed a 0.348 nm increase in RNA helix contour height on binding, consistent with a pothole-filling insertion mechanism that selectively recognizes hairpin duplexes over single-stranded RNA. Functionally, a cell-permeable LG2c analog reduced nuclear foci and partially restored mis-splicing of Serca1, cTNT, and IR in DM1 myotubes, though cellular uptake remains limiting.</p>
<p> Conclusion:<br />Short bifacial γPNA triplet ligands selectively recognize pathogenic rCUG hairpins via a pothole-filling mechanism, displace MBNL1, and can partially restore splicing in DM1 myotubes while cellular delivery requires further optimization.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A pothole-filling strategy for selective targeting of rCUG-repeats associated with myotonic dystrophy type 1</p>
<p> First author:<br />Perera J</p>
<p> Journal:<br />Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2507065123</p>
<p> DOI:<br />10.1073/pnas.2507065123</p>
<p> Reference:<br />Perera J. D. R., Thadke S. A., Thrikawala S. W., Wilson W. D., Tan K. W. R., Chand N. Z. W., Phan A. T., Ly D. H., et al. A pothole-filling strategy for selective targeting of rCUG-repeats associated with myotonic dystrophy type 1. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2507065123. https://doi.org/10.1073/pnas.2507065123</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pothole-filling-rcug-gamma-pna</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing (a) design of bifacial Janus bases on a gammaPNA backbone, (b) pothole-filling mechanism and cooperative binding to rCUG repeats, (c) selectivity for long pathogenic repeats vs. short normal repeats, (d) displacement of MBNL1, (e) splicing rescue in DM1 patient-derived myotube<br />- transcript topics: Janus bases and gammaPNA backbone design; Pothole-filling mechanism and RNA hairpin targeting; Cooperativity and length-dependent binding to rCUG repeats; Pathogenic vs normal repeat selectivity (rCUG98 vs rCUG33); MBNL1 displacement by LG2b; LG2c: cell uptake and rescue of splicing in DM1 myotubes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- DM1 is driven by expanded rCUG repeats that sequester MBNL1 and disrupt splicing<br />- Bifacial Janus base ligands on a gammaPNA backbone enable targeted RNA recognition via hydrogen-bonding on two faces<br />- LG2b binds longer pathogenic rCUG repeats with cooperativity (N ~ 5) and shows length-dependent binding (Kd decreases with longer repeats; e.g., rCUG98 ~0.56 µM)<br />- LG2b selectively binds pathogenic repeats (rCUG98) and ignores normal repeats (rCUG33)<br />- AFM evidence shows a 0.348 nm height increase upon LG2b binding, supporting a pothole-filling mechanism<br />- LG2b can displace MBNL1 from rCUG98 and can prevent binding in competitive formats</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Perera J et al., Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2507065123 - Gamma-PNA triplet ligands with Janus bases selectively bind expanded rCUG repeats, displace MBNL1, and show length-dependent cooperativity with partial splicing rescue. Key terms: rCUG repeats, gamma PNA, Janus bases, MBNL1 displacement, myotonic dystrophy type 1.
 Study Highlights:The authors designed compact three-unit bifacial nucleic acid ligands (Janus bases on a γPNA backbone) and evaluated them against rCUG repeat duplexes and DM1 patient-derived myotubes using molecular dynamics, EMSA, SPR, AFM, and cellular splicing assays. MD and EMSA/SPR show cooperative, length-dependent binding with Kd values decreasing to ~0.56 µM for rCUG98 and Hill coefficients rising to ~5, driven by enhanced hydrogen-bonding and π–π stacking between adjacent ligands. AFM revealed a 0.348 nm increase in RNA helix contour height on binding, consistent with a pothole-filling insertion mechanism that selectively recognizes hairpin duplexes over single-stranded RNA. Functionally, a cell-permeable LG2c analog reduced nuclear foci and partially restored mis-splicing of Serca1, cTNT, and IR in DM1 myotubes, though cellular uptake remains limiting.
 Conclusion:Short bifacial γPNA triplet ligands selectively recognize pathogenic rCUG hairpins via a pothole-filling mechanism, displace MBNL1, and can partially restore splicing in DM1 myotubes while cellular delivery requires further optimization.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A pothole-filling strategy for selective targeting of rCUG-repeats associated with myotonic dystrophy type 1
 First author:Perera J
 Journal:Proc. Natl. Acad. Sci. U.S.A. 2026.123:e2507065123
 DOI:10.1073/pnas.2507065123
 Reference:Perera J. D. R., Thadke S. A., Thrikawala S. W., Wilson W. D., Tan K. W. R., Chand N. Z. W., Phan A. T., Ly D. H., et al. A pothole-filling strategy for selective targeting of rCUG-repeats associated with myotonic dystrophy type 1. Proc. Natl. Acad. Sci. U.S.A. 2026;123:e2507065123. https://doi.org/10.1073/pnas.2507065123
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pothole-filling-rcug-gamma-pna
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing (a) design of bifacial Janus bases on a gammaPNA backbone, (b) pothole-filling mechanism and cooperative binding to rCUG repeats, (c) selectivity for long pathogenic repeats vs. short normal repeats, (d) displacement of MBNL1, (e) splicing rescue in DM1 patient-derived myotube- transcript topics: Janus bases and gammaPNA backbone design; Pothole-filling mechanism and RNA hairpin targeting; Cooperativity and length-dependent binding to rCUG repeats; Pathogenic vs normal repeat selectivity (rCUG98 vs rCUG33); MBNL1 displacement by LG2b; LG2c: cell uptake and rescue of splicing in DM1 myotubes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi<...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2329047/c1a-p6xp7-9jg0oogkb32x-ljdolo.png"></itunes:image>
                                                                            <itunes:duration>00:20:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[262: Human Langerhans cells reprogrammed by tick saliva (CXCR4/CCR7 migration and IDO1/IRF4 tolerance)]]>
                </title>
                <pubDate>Sat, 17 Jan 2026 07:30:11 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2327954</guid>
                                    <link>https://basebybase.castos.com/episodes/langerhans-tick-saliva-tolerance</link>
                                <description>
                                            <![CDATA[<p>Strobl et al., Nature Communications - Human epidermal Langerhans cells exposed to Ixodes ricinus tick saliva and Borrelia burgdorferi adopt a tolerogenic state with CXCR4/CCR7-driven emigration that impairs T cell priming. Key terms: Langerhans cells, tick saliva, Borrelia burgdorferi, CXCR4/CCR7 migration, immune tolerance.</p>
<p> Study Highlights:<br />The study uses clinical human tick bite biopsies, an ex vivo human skin tick bite model, in vitro monocyte- and CD34-derived Langerhans cells, immune spheroid cultures and single-cell RNA-sequencing of erythema migrans lesions, employing imaging, migration assays, co-cultures and scRNA-seq. Tick salivary gland extract (SGE) up-regulates CXCR4 and CCR7 on LCs, promotes emigration from the epidermis into dermis and lymphatic vessels, and reduces keratinocyte TGF-β consistent with migration. SGE and Borrelia burgdorferi drive up-regulation of tolerogenic transcription factors IDO1 and IRF4 while blunting immunogenic IRF1/NFκB programs, and SGE-primed LCs induce Treg and Th2 bias with reduced Tfh, Th17 and Th9 induction. Functionally, these changes dampen protective adaptive responses in lymphoid models and in patient lesions, which may reduce bacterial clearance and memory formation.</p>
<p> Conclusion:<br />Tick saliva reprograms human epidermal Langerhans cells to migrate to lymphatics and adopt a tolerogenic program that impairs protective T cell responses and may facilitate Borrelia transmission.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Human epidermal Langerhans cells induce tolerance and hamper T cell function upon tick-borne pathogen transmission</p>
<p> First author:<br />Strobl</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66821-6</p>
<p> Reference:<br />Strobl, J., Kleissl, L., Eder, J., Conolly, S., Frey, T., Gail, L. M., Kopf, A., Weninger, S., Markowicz, M., Bartíková, P., Freystätter, C., Schmetterer, K., Strobl, H., Stockinger, H., Wijnveld, M. &amp; Stary, G. Human epidermal Langerhans cells induce tolerance and hamper T cell function upon tick-borne pathogen transmission. Nature Communications. 2025. https://doi.org/10.1038/s41467-025-66821-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/langerhans-tick-saliva-tolerance</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content conveyed in the transcript, focusing on LC migration (CXCR4/CCR7), tolerogenic programming (IDO1/IRF4), and T cell polarization in skin infection and ex vivo models, plus vaccine implications.<br />- transcript topics: LC migration from epidermis to dermis/lymphatics via CXCR4/CCR7; Tolerogenic transcription factors IDO1 and IRF4 upregulation in LCs; Impact of Borrelia burgdorferi and Staphylococcus aureus on LC polarization; Ex vivo human skin tick bite model and single-cell RNA sequencing findings; Immune spheroid culture model and T cell polarization outcomes; Vaccine implications: targeting tick saliva to prevent transmission</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- m...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Strobl et al., Nature Communications - Human epidermal Langerhans cells exposed to Ixodes ricinus tick saliva and Borrelia burgdorferi adopt a tolerogenic state with CXCR4/CCR7-driven emigration that impairs T cell priming. Key terms: Langerhans cells, tick saliva, Borrelia burgdorferi, CXCR4/CCR7 migration, immune tolerance.
 Study Highlights:The study uses clinical human tick bite biopsies, an ex vivo human skin tick bite model, in vitro monocyte- and CD34-derived Langerhans cells, immune spheroid cultures and single-cell RNA-sequencing of erythema migrans lesions, employing imaging, migration assays, co-cultures and scRNA-seq. Tick salivary gland extract (SGE) up-regulates CXCR4 and CCR7 on LCs, promotes emigration from the epidermis into dermis and lymphatic vessels, and reduces keratinocyte TGF-β consistent with migration. SGE and Borrelia burgdorferi drive up-regulation of tolerogenic transcription factors IDO1 and IRF4 while blunting immunogenic IRF1/NFκB programs, and SGE-primed LCs induce Treg and Th2 bias with reduced Tfh, Th17 and Th9 induction. Functionally, these changes dampen protective adaptive responses in lymphoid models and in patient lesions, which may reduce bacterial clearance and memory formation.
 Conclusion:Tick saliva reprograms human epidermal Langerhans cells to migrate to lymphatics and adopt a tolerogenic program that impairs protective T cell responses and may facilitate Borrelia transmission.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Human epidermal Langerhans cells induce tolerance and hamper T cell function upon tick-borne pathogen transmission
 First author:Strobl
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66821-6
 Reference:Strobl, J., Kleissl, L., Eder, J., Conolly, S., Frey, T., Gail, L. M., Kopf, A., Weninger, S., Markowicz, M., Bartíková, P., Freystätter, C., Schmetterer, K., Strobl, H., Stockinger, H., Wijnveld, M. & Stary, G. Human epidermal Langerhans cells induce tolerance and hamper T cell function upon tick-borne pathogen transmission. Nature Communications. 2025. https://doi.org/10.1038/s41467-025-66821-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/langerhans-tick-saliva-tolerance
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content conveyed in the transcript, focusing on LC migration (CXCR4/CCR7), tolerogenic programming (IDO1/IRF4), and T cell polarization in skin infection and ex vivo models, plus vaccine implications.- transcript topics: LC migration from epidermis to dermis/lymphatics via CXCR4/CCR7; Tolerogenic transcription factors IDO1 and IRF4 upregulation in LCs; Impact of Borrelia burgdorferi and Staphylococcus aureus on LC polarization; Ex vivo human skin tick bite model and single-cell RNA sequencing findings; Immune spheroid culture model and T cell polarization outcomes; Vaccine implications: targeting tick saliva to prevent transmission
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- m...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[262: Human Langerhans cells reprogrammed by tick saliva (CXCR4/CCR7 migration and IDO1/IRF4 tolerance)]]>
                </itunes:title>
                                    <itunes:episode>262</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Strobl et al., Nature Communications - Human epidermal Langerhans cells exposed to Ixodes ricinus tick saliva and Borrelia burgdorferi adopt a tolerogenic state with CXCR4/CCR7-driven emigration that impairs T cell priming. Key terms: Langerhans cells, tick saliva, Borrelia burgdorferi, CXCR4/CCR7 migration, immune tolerance.</p>
<p> Study Highlights:<br />The study uses clinical human tick bite biopsies, an ex vivo human skin tick bite model, in vitro monocyte- and CD34-derived Langerhans cells, immune spheroid cultures and single-cell RNA-sequencing of erythema migrans lesions, employing imaging, migration assays, co-cultures and scRNA-seq. Tick salivary gland extract (SGE) up-regulates CXCR4 and CCR7 on LCs, promotes emigration from the epidermis into dermis and lymphatic vessels, and reduces keratinocyte TGF-β consistent with migration. SGE and Borrelia burgdorferi drive up-regulation of tolerogenic transcription factors IDO1 and IRF4 while blunting immunogenic IRF1/NFκB programs, and SGE-primed LCs induce Treg and Th2 bias with reduced Tfh, Th17 and Th9 induction. Functionally, these changes dampen protective adaptive responses in lymphoid models and in patient lesions, which may reduce bacterial clearance and memory formation.</p>
<p> Conclusion:<br />Tick saliva reprograms human epidermal Langerhans cells to migrate to lymphatics and adopt a tolerogenic program that impairs protective T cell responses and may facilitate Borrelia transmission.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Human epidermal Langerhans cells induce tolerance and hamper T cell function upon tick-borne pathogen transmission</p>
<p> First author:<br />Strobl</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66821-6</p>
<p> Reference:<br />Strobl, J., Kleissl, L., Eder, J., Conolly, S., Frey, T., Gail, L. M., Kopf, A., Weninger, S., Markowicz, M., Bartíková, P., Freystätter, C., Schmetterer, K., Strobl, H., Stockinger, H., Wijnveld, M. &amp; Stary, G. Human epidermal Langerhans cells induce tolerance and hamper T cell function upon tick-borne pathogen transmission. Nature Communications. 2025. https://doi.org/10.1038/s41467-025-66821-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/langerhans-tick-saliva-tolerance</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content conveyed in the transcript, focusing on LC migration (CXCR4/CCR7), tolerogenic programming (IDO1/IRF4), and T cell polarization in skin infection and ex vivo models, plus vaccine implications.<br />- transcript topics: LC migration from epidermis to dermis/lymphatics via CXCR4/CCR7; Tolerogenic transcription factors IDO1 and IRF4 upregulation in LCs; Impact of Borrelia burgdorferi and Staphylococcus aureus on LC polarization; Ex vivo human skin tick bite model and single-cell RNA sequencing findings; Immune spheroid culture model and T cell polarization outcomes; Vaccine implications: targeting tick saliva to prevent transmission</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Tick saliva induces emigration of Langerhans cells from epidermis to dermis and lymphatics (CXCR4/CCR7 upregulation)<br />- SGE promotes LCs to adopt tolerogenic transcriptional program (IDO1 and IRF4)<br />- TL interactions shift T cell responses toward Tregs and Th2; dampen Th17/Th9 and Tfh<br />- Borrelia burgdorferi co-stimulation maintains tolerogenic LC polarization; SGE effects persist<br />- Lesional erythema migrans skin shows reduced LC density with migratory/tolerogenic signatures<br />- Ex vivo and scRNA-seq and spheroid models reveal mechanistic LC-T cell interactions that impair protective immunity</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Strobl et al., Nature Communications - Human epidermal Langerhans cells exposed to Ixodes ricinus tick saliva and Borrelia burgdorferi adopt a tolerogenic state with CXCR4/CCR7-driven emigration that impairs T cell priming. Key terms: Langerhans cells, tick saliva, Borrelia burgdorferi, CXCR4/CCR7 migration, immune tolerance.
 Study Highlights:The study uses clinical human tick bite biopsies, an ex vivo human skin tick bite model, in vitro monocyte- and CD34-derived Langerhans cells, immune spheroid cultures and single-cell RNA-sequencing of erythema migrans lesions, employing imaging, migration assays, co-cultures and scRNA-seq. Tick salivary gland extract (SGE) up-regulates CXCR4 and CCR7 on LCs, promotes emigration from the epidermis into dermis and lymphatic vessels, and reduces keratinocyte TGF-β consistent with migration. SGE and Borrelia burgdorferi drive up-regulation of tolerogenic transcription factors IDO1 and IRF4 while blunting immunogenic IRF1/NFκB programs, and SGE-primed LCs induce Treg and Th2 bias with reduced Tfh, Th17 and Th9 induction. Functionally, these changes dampen protective adaptive responses in lymphoid models and in patient lesions, which may reduce bacterial clearance and memory formation.
 Conclusion:Tick saliva reprograms human epidermal Langerhans cells to migrate to lymphatics and adopt a tolerogenic program that impairs protective T cell responses and may facilitate Borrelia transmission.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Human epidermal Langerhans cells induce tolerance and hamper T cell function upon tick-borne pathogen transmission
 First author:Strobl
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66821-6
 Reference:Strobl, J., Kleissl, L., Eder, J., Conolly, S., Frey, T., Gail, L. M., Kopf, A., Weninger, S., Markowicz, M., Bartíková, P., Freystätter, C., Schmetterer, K., Strobl, H., Stockinger, H., Wijnveld, M. & Stary, G. Human epidermal Langerhans cells induce tolerance and hamper T cell function upon tick-borne pathogen transmission. Nature Communications. 2025. https://doi.org/10.1038/s41467-025-66821-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/langerhans-tick-saliva-tolerance
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content conveyed in the transcript, focusing on LC migration (CXCR4/CCR7), tolerogenic programming (IDO1/IRF4), and T cell polarization in skin infection and ex vivo models, plus vaccine implications.- transcript topics: LC migration from epidermis to dermis/lymphatics via CXCR4/CCR7; Tolerogenic transcription factors IDO1 and IRF4 upregulation in LCs; Impact of Borrelia burgdorferi and Staphylococcus aureus on LC polarization; Ex vivo human skin tick bite model and single-cell RNA sequencing findings; Immune spheroid culture model and T cell polarization outcomes; Vaccine implications: targeting tick saliva to prevent transmission
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- m...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2327954/c1a-p6xp7-7z8kdd8gt6pj-pheum2.png"></itunes:image>
                                                                            <itunes:duration>00:21:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[261: MHz-XPCS reveals anomalous ferritin diffusion and nanoscale cage trapping]]>
                </title>
                <pubDate>Fri, 16 Jan 2026 08:44:53 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2327006</guid>
                                    <link>https://basebybase.castos.com/episodes/ferritin-anomalous-diffusion-xpcs</link>
                                <description>
                                            <![CDATA[<p>Girelli et al., Nature Communications - MHz-XPCS of ferritin solutions at EuXFEL shows anomalous, cage-trapped protein diffusion with reduced long-time transport and ~1.2 nm rattling at high concentration. Key terms: ferritin, MHz-XPCS, anomalous diffusion, cage effects, hydrodynamic function.</p>
<p> Study Highlights:<br />The study probes crowded ferritin solutions using megahertz X-ray Photon Correlation Spectroscopy (MHz-XPCS) at EuXFEL combined with SAXS and δγ-theory modeling. Intensity autocorrelation functions g2(q,t) become non-exponential at high concentrations, and double-exponential analysis yields short- and long-time diffusion components with Dlong/Dshort ≈ 0.12 ± 0.04 at 730 mg/ml and an interaction time estimated near 4.25 µs. δγ-theory of hydrodynamically interacting spheres reproduces the q-dependent hydrodynamic function only when a scaling factor tied to direct protein interactions is included, indicating hydrodynamics set the q-dependence while direct forces reduce overall self-diffusion. Cage analysis finds an average rattling displacement δ ≈ 1.0 ± 0.3 nm for ≈89% of proteins, implying cage-trapping substantially slows molecular transport with consequences for ferritin-based drug delivery.</p>
<p> Conclusion:<br />MHz-XPCS measurements and δγ-theory modeling demonstrate that crowded ferritin solutions exhibit anomalous, cage-trapped diffusion with separate short- and long-time components and markedly reduced self-diffusion, indicating slower molecular transport under crowding.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Coherent X-rays reveal anomalous molecular diffusion and cage effects in crowded protein solutions</p>
<p> First author:<br />Girelli</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66972-6</p>
<p> Reference:<br />Girelli, A., Bin, M., Filianina, M. et al. Coherent X-rays reveal anomalous molecular diffusion and cage effects in crowded protein solutions. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66972-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ferritin-anomalous-diffusion-xpcs</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for the central findings and methods: crowded diffusion in ferritin solutions, MHz-XPCS techniques at EuXFEL, evidence for cage trapping, two diffusion regimes (Dshort and Dlong), interaction time, cage displacement, δγ-theory modeling with a scaling factor, and implications for diffusion in<br />- transcript topics: Crowding and diffusion in cellular-like environments; MHz-XPCS methodology at EuXFEL; Ferritin as a model system; Anomalous diffusion and cage effects; Short-time vs long-time diffusion; Two-component diffusion: Dshort and Dlong</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Anomalous diffusion observed in crowded ferritin solutions<br />- Cage trapping as a mechani...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Girelli et al., Nature Communications - MHz-XPCS of ferritin solutions at EuXFEL shows anomalous, cage-trapped protein diffusion with reduced long-time transport and ~1.2 nm rattling at high concentration. Key terms: ferritin, MHz-XPCS, anomalous diffusion, cage effects, hydrodynamic function.
 Study Highlights:The study probes crowded ferritin solutions using megahertz X-ray Photon Correlation Spectroscopy (MHz-XPCS) at EuXFEL combined with SAXS and δγ-theory modeling. Intensity autocorrelation functions g2(q,t) become non-exponential at high concentrations, and double-exponential analysis yields short- and long-time diffusion components with Dlong/Dshort ≈ 0.12 ± 0.04 at 730 mg/ml and an interaction time estimated near 4.25 µs. δγ-theory of hydrodynamically interacting spheres reproduces the q-dependent hydrodynamic function only when a scaling factor tied to direct protein interactions is included, indicating hydrodynamics set the q-dependence while direct forces reduce overall self-diffusion. Cage analysis finds an average rattling displacement δ ≈ 1.0 ± 0.3 nm for ≈89% of proteins, implying cage-trapping substantially slows molecular transport with consequences for ferritin-based drug delivery.
 Conclusion:MHz-XPCS measurements and δγ-theory modeling demonstrate that crowded ferritin solutions exhibit anomalous, cage-trapped diffusion with separate short- and long-time components and markedly reduced self-diffusion, indicating slower molecular transport under crowding.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Coherent X-rays reveal anomalous molecular diffusion and cage effects in crowded protein solutions
 First author:Girelli
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66972-6
 Reference:Girelli, A., Bin, M., Filianina, M. et al. Coherent X-rays reveal anomalous molecular diffusion and cage effects in crowded protein solutions. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66972-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ferritin-anomalous-diffusion-xpcs
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for the central findings and methods: crowded diffusion in ferritin solutions, MHz-XPCS techniques at EuXFEL, evidence for cage trapping, two diffusion regimes (Dshort and Dlong), interaction time, cage displacement, δγ-theory modeling with a scaling factor, and implications for diffusion in- transcript topics: Crowding and diffusion in cellular-like environments; MHz-XPCS methodology at EuXFEL; Ferritin as a model system; Anomalous diffusion and cage effects; Short-time vs long-time diffusion; Two-component diffusion: Dshort and Dlong
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Anomalous diffusion observed in crowded ferritin solutions- Cage trapping as a mechani...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[261: MHz-XPCS reveals anomalous ferritin diffusion and nanoscale cage trapping]]>
                </itunes:title>
                                    <itunes:episode>261</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Girelli et al., Nature Communications - MHz-XPCS of ferritin solutions at EuXFEL shows anomalous, cage-trapped protein diffusion with reduced long-time transport and ~1.2 nm rattling at high concentration. Key terms: ferritin, MHz-XPCS, anomalous diffusion, cage effects, hydrodynamic function.</p>
<p> Study Highlights:<br />The study probes crowded ferritin solutions using megahertz X-ray Photon Correlation Spectroscopy (MHz-XPCS) at EuXFEL combined with SAXS and δγ-theory modeling. Intensity autocorrelation functions g2(q,t) become non-exponential at high concentrations, and double-exponential analysis yields short- and long-time diffusion components with Dlong/Dshort ≈ 0.12 ± 0.04 at 730 mg/ml and an interaction time estimated near 4.25 µs. δγ-theory of hydrodynamically interacting spheres reproduces the q-dependent hydrodynamic function only when a scaling factor tied to direct protein interactions is included, indicating hydrodynamics set the q-dependence while direct forces reduce overall self-diffusion. Cage analysis finds an average rattling displacement δ ≈ 1.0 ± 0.3 nm for ≈89% of proteins, implying cage-trapping substantially slows molecular transport with consequences for ferritin-based drug delivery.</p>
<p> Conclusion:<br />MHz-XPCS measurements and δγ-theory modeling demonstrate that crowded ferritin solutions exhibit anomalous, cage-trapped diffusion with separate short- and long-time components and markedly reduced self-diffusion, indicating slower molecular transport under crowding.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Coherent X-rays reveal anomalous molecular diffusion and cage effects in crowded protein solutions</p>
<p> First author:<br />Girelli</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66972-6</p>
<p> Reference:<br />Girelli, A., Bin, M., Filianina, M. et al. Coherent X-rays reveal anomalous molecular diffusion and cage effects in crowded protein solutions. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66972-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ferritin-anomalous-diffusion-xpcs</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for the central findings and methods: crowded diffusion in ferritin solutions, MHz-XPCS techniques at EuXFEL, evidence for cage trapping, two diffusion regimes (Dshort and Dlong), interaction time, cage displacement, δγ-theory modeling with a scaling factor, and implications for diffusion in<br />- transcript topics: Crowding and diffusion in cellular-like environments; MHz-XPCS methodology at EuXFEL; Ferritin as a model system; Anomalous diffusion and cage effects; Short-time vs long-time diffusion; Two-component diffusion: Dshort and Dlong</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Anomalous diffusion observed in crowded ferritin solutions<br />- Cage trapping as a mechanism for constrained diffusion under crowding<br />- Two diffusion components: short-time Dshort and long-time Dlong<br />- Interaction time τi for ferritin ~ 4.25 µs in crowded conditions<br />- Cage occupancy A0 ≈ 89% of proteins<br />- Cage displacement δ ≈ 1.0 ± 0.3 nm (with discussion suggesting δ ≈ 1.2 ± 0.6 nm)</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Girelli et al., Nature Communications - MHz-XPCS of ferritin solutions at EuXFEL shows anomalous, cage-trapped protein diffusion with reduced long-time transport and ~1.2 nm rattling at high concentration. Key terms: ferritin, MHz-XPCS, anomalous diffusion, cage effects, hydrodynamic function.
 Study Highlights:The study probes crowded ferritin solutions using megahertz X-ray Photon Correlation Spectroscopy (MHz-XPCS) at EuXFEL combined with SAXS and δγ-theory modeling. Intensity autocorrelation functions g2(q,t) become non-exponential at high concentrations, and double-exponential analysis yields short- and long-time diffusion components with Dlong/Dshort ≈ 0.12 ± 0.04 at 730 mg/ml and an interaction time estimated near 4.25 µs. δγ-theory of hydrodynamically interacting spheres reproduces the q-dependent hydrodynamic function only when a scaling factor tied to direct protein interactions is included, indicating hydrodynamics set the q-dependence while direct forces reduce overall self-diffusion. Cage analysis finds an average rattling displacement δ ≈ 1.0 ± 0.3 nm for ≈89% of proteins, implying cage-trapping substantially slows molecular transport with consequences for ferritin-based drug delivery.
 Conclusion:MHz-XPCS measurements and δγ-theory modeling demonstrate that crowded ferritin solutions exhibit anomalous, cage-trapped diffusion with separate short- and long-time components and markedly reduced self-diffusion, indicating slower molecular transport under crowding.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Coherent X-rays reveal anomalous molecular diffusion and cage effects in crowded protein solutions
 First author:Girelli
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66972-6
 Reference:Girelli, A., Bin, M., Filianina, M. et al. Coherent X-rays reveal anomalous molecular diffusion and cage effects in crowded protein solutions. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66972-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) - https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ferritin-anomalous-diffusion-xpcs
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for the central findings and methods: crowded diffusion in ferritin solutions, MHz-XPCS techniques at EuXFEL, evidence for cage trapping, two diffusion regimes (Dshort and Dlong), interaction time, cage displacement, δγ-theory modeling with a scaling factor, and implications for diffusion in- transcript topics: Crowding and diffusion in cellular-like environments; MHz-XPCS methodology at EuXFEL; Ferritin as a model system; Anomalous diffusion and cage effects; Short-time vs long-time diffusion; Two-component diffusion: Dshort and Dlong
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Anomalous diffusion observed in crowded ferritin solutions- Cage trapping as a mechani...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2327006/c1a-p6xp7-5zqk77q4cp2r-pzzseu.png"></itunes:image>
                                                                            <itunes:duration>00:16:20</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[260: TSS hypermutability in human germline linked to RNAP II stalling, R-loops and early embryonic mosaics]]>
                </title>
                <pubDate>Thu, 15 Jan 2026 00:18:50 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2324429</guid>
                                    <link>https://basebybase.castos.com/episodes/tss-germline-hotspot-rnapii</link>
                                <description>
                                            <![CDATA[<p>Nature Communications - Transcription start sites experience a high influx of heritable variants fueled by early development</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Transcription start sites experience a high influx of heritable variants fueled by early development</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66201-0</p>
<p> License:<br />CC BY 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript for core germline mutagenesis mechanisms around transcription start sites (TSS), mosaic vs de novo variation, mechanistic links (RNAP II stalling, R-loops, divergent transcription), mutational signatures, purifying selection, disease links, and clinical implications as described in the article.<br />- transcript topics: Germline TSS mutational hotspot; Extremely rare variants and mosaicism; De novo mutations vs mosaic filtering; Transcription-associated mutagenesis mechanisms (RNAP II stalling, R-loops, divergent transcription); Mutational signatures (SBS3, SBS40b, SBS40c; SBS39 maternal clusters; SBS12/SBS16); Divergent transcription at promoters</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Germline transcription start sites harbor a mutational hotspot spanning several hundred base pairs upstream and downstream of the TSS<br />- Non(CpG &gt; TpG) variations show a mutational excess at the TSS, up to ~35% in 100-bp windows around the TSS<br />- De novo mutations (DNMs) do not show a significant TSS excess due to misclassification/ filtering; the hotspot is revealed by mosaic variants<br />- Early mosaic mutations are enriched near the TSS, with a 52% excess immediately downstream of the TSS<br />- Divergent transcription, RNAP II stalling, and R-loop formation are associated with the TSS hotspot<br />- Mutational signatures SBS3, SBS40b, SBS40c indicate non-canonical DSB repair; SBS39 linked to maternal mutation clusters</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nature Communications - Transcription start sites experience a high influx of heritable variants fueled by early development
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Transcription start sites experience a high influx of heritable variants fueled by early development
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66201-0
 License:CC BY 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript for core germline mutagenesis mechanisms around transcription start sites (TSS), mosaic vs de novo variation, mechanistic links (RNAP II stalling, R-loops, divergent transcription), mutational signatures, purifying selection, disease links, and clinical implications as described in the article.- transcript topics: Germline TSS mutational hotspot; Extremely rare variants and mosaicism; De novo mutations vs mosaic filtering; Transcription-associated mutagenesis mechanisms (RNAP II stalling, R-loops, divergent transcription); Mutational signatures (SBS3, SBS40b, SBS40c; SBS39 maternal clusters; SBS12/SBS16); Divergent transcription at promoters
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Germline transcription start sites harbor a mutational hotspot spanning several hundred base pairs upstream and downstream of the TSS- Non(CpG > TpG) variations show a mutational excess at the TSS, up to ~35% in 100-bp windows around the TSS- De novo mutations (DNMs) do not show a significant TSS excess due to misclassification/ filtering; the hotspot is revealed by mosaic variants- Early mosaic mutations are enriched near the TSS, with a 52% excess immediately downstream of the TSS- Divergent transcription, RNAP II stalling, and R-loop formation are associated with the TSS hotspot- Mutational signatures SBS3, SBS40b, SBS40c indicate non-canonical DSB repair; SBS39 linked to maternal mutation clusters
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[260: TSS hypermutability in human germline linked to RNAP II stalling, R-loops and early embryonic mosaics]]>
                </itunes:title>
                                    <itunes:episode>260</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nature Communications - Transcription start sites experience a high influx of heritable variants fueled by early development</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Transcription start sites experience a high influx of heritable variants fueled by early development</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66201-0</p>
<p> License:<br />CC BY 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript for core germline mutagenesis mechanisms around transcription start sites (TSS), mosaic vs de novo variation, mechanistic links (RNAP II stalling, R-loops, divergent transcription), mutational signatures, purifying selection, disease links, and clinical implications as described in the article.<br />- transcript topics: Germline TSS mutational hotspot; Extremely rare variants and mosaicism; De novo mutations vs mosaic filtering; Transcription-associated mutagenesis mechanisms (RNAP II stalling, R-loops, divergent transcription); Mutational signatures (SBS3, SBS40b, SBS40c; SBS39 maternal clusters; SBS12/SBS16); Divergent transcription at promoters</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Germline transcription start sites harbor a mutational hotspot spanning several hundred base pairs upstream and downstream of the TSS<br />- Non(CpG &gt; TpG) variations show a mutational excess at the TSS, up to ~35% in 100-bp windows around the TSS<br />- De novo mutations (DNMs) do not show a significant TSS excess due to misclassification/ filtering; the hotspot is revealed by mosaic variants<br />- Early mosaic mutations are enriched near the TSS, with a 52% excess immediately downstream of the TSS<br />- Divergent transcription, RNAP II stalling, and R-loop formation are associated with the TSS hotspot<br />- Mutational signatures SBS3, SBS40b, SBS40c indicate non-canonical DSB repair; SBS39 linked to maternal mutation clusters</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Nature Communications - Transcription start sites experience a high influx of heritable variants fueled by early development
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Transcription start sites experience a high influx of heritable variants fueled by early development
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66201-0
 License:CC BY 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript for core germline mutagenesis mechanisms around transcription start sites (TSS), mosaic vs de novo variation, mechanistic links (RNAP II stalling, R-loops, divergent transcription), mutational signatures, purifying selection, disease links, and clinical implications as described in the article.- transcript topics: Germline TSS mutational hotspot; Extremely rare variants and mosaicism; De novo mutations vs mosaic filtering; Transcription-associated mutagenesis mechanisms (RNAP II stalling, R-loops, divergent transcription); Mutational signatures (SBS3, SBS40b, SBS40c; SBS39 maternal clusters; SBS12/SBS16); Divergent transcription at promoters
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Germline transcription start sites harbor a mutational hotspot spanning several hundred base pairs upstream and downstream of the TSS- Non(CpG > TpG) variations show a mutational excess at the TSS, up to ~35% in 100-bp windows around the TSS- De novo mutations (DNMs) do not show a significant TSS excess due to misclassification/ filtering; the hotspot is revealed by mosaic variants- Early mosaic mutations are enriched near the TSS, with a 52% excess immediately downstream of the TSS- Divergent transcription, RNAP II stalling, and R-loop formation are associated with the TSS hotspot- Mutational signatures SBS3, SBS40b, SBS40c indicate non-canonical DSB repair; SBS39 linked to maternal mutation clusters
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2324429/c1a-p6xp7-v6vzggvpsq6z-f4p3ih.png"></itunes:image>
                                                                            <itunes:duration>00:16:09</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[259: Ku filaments that hold DNA together]]>
                </title>
                <pubDate>Wed, 14 Jan 2026 06:12:18 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2322763</guid>
                                    <link>https://basebybase.castos.com/episodes/ku-mtb-dna-synapsis</link>
                                <description>
                                            <![CDATA[<p>Zahid S et al., Nature Communications, doi:10.1038/s41467-025-65609-y - Cryo-EM and biophysical analyses show Mycobacterium tuberculosis Ku assembles into DNA-bound oligomeric filaments that synapse DNA ends and are required for survival under DNA-damaging conditions. Key terms: Ku-Mtb, non-homologous end joining, cryo-EM, DNA synapsis, Mycobacterium tuberculosis.</p>
<p> Study Highlights:<br />Deletion of ku in M. smegmatis causes marked survival defects after methyl methanesulfonate exposure and desiccation that are rescued by complementation. Cryo-EM structures of apo-Ku-Mtb (4.04 Å) and DNA-bound Ku-Mtb (2.96 Å) reveal a homodimer that assembles into extended filaments with a minimal repeating unit of two homodimers per DNA duplex. Biophysical assays (mass photometry, FIDA, AFM) and positive-stain EM confirm DNA-induced oligomerisation and show Ku can circularize DNA ends, holding them ~40 Å apart. Mutation of hydrophobic loop residues L13/V14 abolishes filament formation while preserving DNA binding and reduces bacterial survival, and the C-terminal α-helix blocks the filament interface in the apo state and is displaced on DNA binding to enable LigD recruitment.</p>
<p> Conclusion:<br />Ku oligomerisation mediates DNA end synapsis during bacterial NHEJ and is critical for mycobacterial survival under DNA-damaging stresses</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Oligomerisation of Ku from Mycobacterium tuberculosis promotes DNA synapsis</p>
<p> First author:<br />Zahid S</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65609-y</p>
<p> DOI:<br />10.1038/s41467-025-65609-y</p>
<p> Reference:<br />Zahid S, Baconnais S, Smith H, Atwal S, Bates L, Read H, Chadda A, Morati F, Stender EGP, Westerlund F, Galburt E, Mukamolova GV, Chaplin AK, et al. Oligomerisation of Ku from Mycobacterium tuberculosis promotes DNA synapsis. Nature Communications. 2025;16:10568. https://doi.org/10.1038/s41467-025-65609-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ku-mtb-dna-synapsis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content covering MTB NHEJ, Ku-Mtb filament formation on DNA, cryo-EM structural details, mutational analyses, functional assays, and therapeutic implications.<br />- transcript topics: Ku essential for mycobacterial survival under MMS-induced DNA DSBs; Desiccation tolerance and MTB DNA repair via NHEJ; apo-Ku-Mtb structure by cryo-EM (4.04 Å) and DNA-bound filament (2.96 Å); DNA synapsis by Ku-Mtb filament; ~40 Å end-to-end distance; Minimal repeating unit: two Ku-Mtb homodimers per DNA duplex; Role of C-terminal helix and L13/V14 hydrophobic interface in filament regulation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Ku-Mtb forms an extended filament on DNA and synapses DNA ends; minimal unit is two Ku-Mtb homodimers per DNA duplex<br />- DNA ends are held at...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zahid S et al., Nature Communications, doi:10.1038/s41467-025-65609-y - Cryo-EM and biophysical analyses show Mycobacterium tuberculosis Ku assembles into DNA-bound oligomeric filaments that synapse DNA ends and are required for survival under DNA-damaging conditions. Key terms: Ku-Mtb, non-homologous end joining, cryo-EM, DNA synapsis, Mycobacterium tuberculosis.
 Study Highlights:Deletion of ku in M. smegmatis causes marked survival defects after methyl methanesulfonate exposure and desiccation that are rescued by complementation. Cryo-EM structures of apo-Ku-Mtb (4.04 Å) and DNA-bound Ku-Mtb (2.96 Å) reveal a homodimer that assembles into extended filaments with a minimal repeating unit of two homodimers per DNA duplex. Biophysical assays (mass photometry, FIDA, AFM) and positive-stain EM confirm DNA-induced oligomerisation and show Ku can circularize DNA ends, holding them ~40 Å apart. Mutation of hydrophobic loop residues L13/V14 abolishes filament formation while preserving DNA binding and reduces bacterial survival, and the C-terminal α-helix blocks the filament interface in the apo state and is displaced on DNA binding to enable LigD recruitment.
 Conclusion:Ku oligomerisation mediates DNA end synapsis during bacterial NHEJ and is critical for mycobacterial survival under DNA-damaging stresses
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Oligomerisation of Ku from Mycobacterium tuberculosis promotes DNA synapsis
 First author:Zahid S
 Journal:Nature Communications, doi:10.1038/s41467-025-65609-y
 DOI:10.1038/s41467-025-65609-y
 Reference:Zahid S, Baconnais S, Smith H, Atwal S, Bates L, Read H, Chadda A, Morati F, Stender EGP, Westerlund F, Galburt E, Mukamolova GV, Chaplin AK, et al. Oligomerisation of Ku from Mycobacterium tuberculosis promotes DNA synapsis. Nature Communications. 2025;16:10568. https://doi.org/10.1038/s41467-025-65609-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ku-mtb-dna-synapsis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content covering MTB NHEJ, Ku-Mtb filament formation on DNA, cryo-EM structural details, mutational analyses, functional assays, and therapeutic implications.- transcript topics: Ku essential for mycobacterial survival under MMS-induced DNA DSBs; Desiccation tolerance and MTB DNA repair via NHEJ; apo-Ku-Mtb structure by cryo-EM (4.04 Å) and DNA-bound filament (2.96 Å); DNA synapsis by Ku-Mtb filament; ~40 Å end-to-end distance; Minimal repeating unit: two Ku-Mtb homodimers per DNA duplex; Role of C-terminal helix and L13/V14 hydrophobic interface in filament regulation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Ku-Mtb forms an extended filament on DNA and synapses DNA ends; minimal unit is two Ku-Mtb homodimers per DNA duplex- DNA ends are held at...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[259: Ku filaments that hold DNA together]]>
                </itunes:title>
                                    <itunes:episode>259</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zahid S et al., Nature Communications, doi:10.1038/s41467-025-65609-y - Cryo-EM and biophysical analyses show Mycobacterium tuberculosis Ku assembles into DNA-bound oligomeric filaments that synapse DNA ends and are required for survival under DNA-damaging conditions. Key terms: Ku-Mtb, non-homologous end joining, cryo-EM, DNA synapsis, Mycobacterium tuberculosis.</p>
<p> Study Highlights:<br />Deletion of ku in M. smegmatis causes marked survival defects after methyl methanesulfonate exposure and desiccation that are rescued by complementation. Cryo-EM structures of apo-Ku-Mtb (4.04 Å) and DNA-bound Ku-Mtb (2.96 Å) reveal a homodimer that assembles into extended filaments with a minimal repeating unit of two homodimers per DNA duplex. Biophysical assays (mass photometry, FIDA, AFM) and positive-stain EM confirm DNA-induced oligomerisation and show Ku can circularize DNA ends, holding them ~40 Å apart. Mutation of hydrophobic loop residues L13/V14 abolishes filament formation while preserving DNA binding and reduces bacterial survival, and the C-terminal α-helix blocks the filament interface in the apo state and is displaced on DNA binding to enable LigD recruitment.</p>
<p> Conclusion:<br />Ku oligomerisation mediates DNA end synapsis during bacterial NHEJ and is critical for mycobacterial survival under DNA-damaging stresses</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Oligomerisation of Ku from Mycobacterium tuberculosis promotes DNA synapsis</p>
<p> First author:<br />Zahid S</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65609-y</p>
<p> DOI:<br />10.1038/s41467-025-65609-y</p>
<p> Reference:<br />Zahid S, Baconnais S, Smith H, Atwal S, Bates L, Read H, Chadda A, Morati F, Stender EGP, Westerlund F, Galburt E, Mukamolova GV, Chaplin AK, et al. Oligomerisation of Ku from Mycobacterium tuberculosis promotes DNA synapsis. Nature Communications. 2025;16:10568. https://doi.org/10.1038/s41467-025-65609-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ku-mtb-dna-synapsis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content covering MTB NHEJ, Ku-Mtb filament formation on DNA, cryo-EM structural details, mutational analyses, functional assays, and therapeutic implications.<br />- transcript topics: Ku essential for mycobacterial survival under MMS-induced DNA DSBs; Desiccation tolerance and MTB DNA repair via NHEJ; apo-Ku-Mtb structure by cryo-EM (4.04 Å) and DNA-bound filament (2.96 Å); DNA synapsis by Ku-Mtb filament; ~40 Å end-to-end distance; Minimal repeating unit: two Ku-Mtb homodimers per DNA duplex; Role of C-terminal helix and L13/V14 hydrophobic interface in filament regulation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Ku-Mtb forms an extended filament on DNA and synapses DNA ends; minimal unit is two Ku-Mtb homodimers per DNA duplex<br />- DNA ends are held at a distance of approximately 40 Å within the filament<br />- Leu13 and Val14 form a hydrophobic interface critical for filament formation; L13A/V14A abolishes filament formation<br />- The C-terminus acts as an autoinhibitory regulatory arm; displacement upon DNA binding enables filament formation and LigD recruitment<br />- MTB NHEJ is a minimalist system lacking vWA domains and DNA-PKcs, capable of synapsis without the large human machinery<br />- Mutational analysis in vivo (L23A/L24A equivalent) reduces survival under DNA-damaging stress</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Zahid S et al., Nature Communications, doi:10.1038/s41467-025-65609-y - Cryo-EM and biophysical analyses show Mycobacterium tuberculosis Ku assembles into DNA-bound oligomeric filaments that synapse DNA ends and are required for survival under DNA-damaging conditions. Key terms: Ku-Mtb, non-homologous end joining, cryo-EM, DNA synapsis, Mycobacterium tuberculosis.
 Study Highlights:Deletion of ku in M. smegmatis causes marked survival defects after methyl methanesulfonate exposure and desiccation that are rescued by complementation. Cryo-EM structures of apo-Ku-Mtb (4.04 Å) and DNA-bound Ku-Mtb (2.96 Å) reveal a homodimer that assembles into extended filaments with a minimal repeating unit of two homodimers per DNA duplex. Biophysical assays (mass photometry, FIDA, AFM) and positive-stain EM confirm DNA-induced oligomerisation and show Ku can circularize DNA ends, holding them ~40 Å apart. Mutation of hydrophobic loop residues L13/V14 abolishes filament formation while preserving DNA binding and reduces bacterial survival, and the C-terminal α-helix blocks the filament interface in the apo state and is displaced on DNA binding to enable LigD recruitment.
 Conclusion:Ku oligomerisation mediates DNA end synapsis during bacterial NHEJ and is critical for mycobacterial survival under DNA-damaging stresses
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Oligomerisation of Ku from Mycobacterium tuberculosis promotes DNA synapsis
 First author:Zahid S
 Journal:Nature Communications, doi:10.1038/s41467-025-65609-y
 DOI:10.1038/s41467-025-65609-y
 Reference:Zahid S, Baconnais S, Smith H, Atwal S, Bates L, Read H, Chadda A, Morati F, Stender EGP, Westerlund F, Galburt E, Mukamolova GV, Chaplin AK, et al. Oligomerisation of Ku from Mycobacterium tuberculosis promotes DNA synapsis. Nature Communications. 2025;16:10568. https://doi.org/10.1038/s41467-025-65609-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ku-mtb-dna-synapsis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content covering MTB NHEJ, Ku-Mtb filament formation on DNA, cryo-EM structural details, mutational analyses, functional assays, and therapeutic implications.- transcript topics: Ku essential for mycobacterial survival under MMS-induced DNA DSBs; Desiccation tolerance and MTB DNA repair via NHEJ; apo-Ku-Mtb structure by cryo-EM (4.04 Å) and DNA-bound filament (2.96 Å); DNA synapsis by Ku-Mtb filament; ~40 Å end-to-end distance; Minimal repeating unit: two Ku-Mtb homodimers per DNA duplex; Role of C-terminal helix and L13/V14 hydrophobic interface in filament regulation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Ku-Mtb forms an extended filament on DNA and synapses DNA ends; minimal unit is two Ku-Mtb homodimers per DNA duplex- DNA ends are held at...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2322763/c1a-p6xp7-jpxj55x4hk47-j808le.png"></itunes:image>
                                                                            <itunes:duration>00:17:49</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[258: Correcting GC bias in metagenomes]]>
                </title>
                <pubDate>Tue, 13 Jan 2026 21:19:06 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2322432</guid>
                                    <link>https://basebybase.castos.com/episodes/gc-bias-correction-metagenomics</link>
                                <description>
                                            <![CDATA[<p>Holcik L et al., Nature Communications, doi:10.1038/s41467-025-65530-4 - GuaCAMOLE is an alignment-free algorithm that estimates and removes genomic GC-content-dependent sequencing bias to produce more accurate species abundance estimates from single metagenomic samples. Key terms: GC bias, metagenomics, species abundance, GuaCAMOLE, colorectal cancer.</p>
<p> Study Highlights:<br />GuaCAMOLE combines Kraken2/Bracken read assignment with per-taxon GC binning and a regularized least-squares estimator to infer GC-dependent sequencing efficiencies and bias-corrected abundances from a single sample. On simulations and mock communities across 28 library protocols it produced near-unbiased estimates and outperformed Bracken and MetaPhlAn4 when GC bias was present. Application to 3,435 gut microbiomes from 33 colorectal cancer studies revealed four distinct protocol-specific GC-bias shapes and systematic underestimation of GC-poor taxa. The tool also filters false-positive taxa by comparing observed and expected GC distributions and can apply inferred efficiencies to correct other tools' outputs.</p>
<p> Conclusion:<br />Per-sample GC-bias correction with GuaCAMOLE improves accuracy and comparability of metagenomic species abundance estimates across diverse protocols</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genomic GC bias correction improves species abundance estimation from metagenomic data</p>
<p> First author:<br />Holcik L</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65530-4</p>
<p> DOI:<br />10.1038/s41467-025-65530-4</p>
<p> Reference:<br />Holcik L., von Haeseler A., Pflug F. G. Genomic GC bias correction improves species abundance estimation from metagenomic data. Nature Communications. 2025;16:10523. https://doi.org/10.1038/s41467-025-65530-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/gc-bias-correction-metagenomics</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript content for core scientific claims and results described in the article, including GC bias problems in metagenomics, the GuaCAMOLE algorithm, GC-bin strategy and QC, benchmarking results (simulated and mock data), CRC meta-analysis findings, and limitations/future work.<br />- transcript topics: GC bias in metagenomic sequencing; GuaCAMOLE algorithm overview and alignment-free design; GC-bin read counting and abundance estimation; False-positive taxon filtering and QC; Benchmarking on simulated data and mock communities; Four GC-bias shapes across colorectal cancer gut microbiomes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- GC content affects sequencing efficiency and biases vary by protocol<br />- GuaCAMOLE is alignment-free and uses Kraken2/Bracken for initial taxon assignment with GC-bin stratification<br />- Abundances and GC-dependent sequencing efficiencies are solved simultaneously via lea...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Holcik L et al., Nature Communications, doi:10.1038/s41467-025-65530-4 - GuaCAMOLE is an alignment-free algorithm that estimates and removes genomic GC-content-dependent sequencing bias to produce more accurate species abundance estimates from single metagenomic samples. Key terms: GC bias, metagenomics, species abundance, GuaCAMOLE, colorectal cancer.
 Study Highlights:GuaCAMOLE combines Kraken2/Bracken read assignment with per-taxon GC binning and a regularized least-squares estimator to infer GC-dependent sequencing efficiencies and bias-corrected abundances from a single sample. On simulations and mock communities across 28 library protocols it produced near-unbiased estimates and outperformed Bracken and MetaPhlAn4 when GC bias was present. Application to 3,435 gut microbiomes from 33 colorectal cancer studies revealed four distinct protocol-specific GC-bias shapes and systematic underestimation of GC-poor taxa. The tool also filters false-positive taxa by comparing observed and expected GC distributions and can apply inferred efficiencies to correct other tools' outputs.
 Conclusion:Per-sample GC-bias correction with GuaCAMOLE improves accuracy and comparability of metagenomic species abundance estimates across diverse protocols
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genomic GC bias correction improves species abundance estimation from metagenomic data
 First author:Holcik L
 Journal:Nature Communications, doi:10.1038/s41467-025-65530-4
 DOI:10.1038/s41467-025-65530-4
 Reference:Holcik L., von Haeseler A., Pflug F. G. Genomic GC bias correction improves species abundance estimation from metagenomic data. Nature Communications. 2025;16:10523. https://doi.org/10.1038/s41467-025-65530-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/gc-bias-correction-metagenomics
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript content for core scientific claims and results described in the article, including GC bias problems in metagenomics, the GuaCAMOLE algorithm, GC-bin strategy and QC, benchmarking results (simulated and mock data), CRC meta-analysis findings, and limitations/future work.- transcript topics: GC bias in metagenomic sequencing; GuaCAMOLE algorithm overview and alignment-free design; GC-bin read counting and abundance estimation; False-positive taxon filtering and QC; Benchmarking on simulated data and mock communities; Four GC-bias shapes across colorectal cancer gut microbiomes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- GC content affects sequencing efficiency and biases vary by protocol- GuaCAMOLE is alignment-free and uses Kraken2/Bracken for initial taxon assignment with GC-bin stratification- Abundances and GC-dependent sequencing efficiencies are solved simultaneously via lea...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[258: Correcting GC bias in metagenomes]]>
                </itunes:title>
                                    <itunes:episode>258</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Holcik L et al., Nature Communications, doi:10.1038/s41467-025-65530-4 - GuaCAMOLE is an alignment-free algorithm that estimates and removes genomic GC-content-dependent sequencing bias to produce more accurate species abundance estimates from single metagenomic samples. Key terms: GC bias, metagenomics, species abundance, GuaCAMOLE, colorectal cancer.</p>
<p> Study Highlights:<br />GuaCAMOLE combines Kraken2/Bracken read assignment with per-taxon GC binning and a regularized least-squares estimator to infer GC-dependent sequencing efficiencies and bias-corrected abundances from a single sample. On simulations and mock communities across 28 library protocols it produced near-unbiased estimates and outperformed Bracken and MetaPhlAn4 when GC bias was present. Application to 3,435 gut microbiomes from 33 colorectal cancer studies revealed four distinct protocol-specific GC-bias shapes and systematic underestimation of GC-poor taxa. The tool also filters false-positive taxa by comparing observed and expected GC distributions and can apply inferred efficiencies to correct other tools' outputs.</p>
<p> Conclusion:<br />Per-sample GC-bias correction with GuaCAMOLE improves accuracy and comparability of metagenomic species abundance estimates across diverse protocols</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genomic GC bias correction improves species abundance estimation from metagenomic data</p>
<p> First author:<br />Holcik L</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65530-4</p>
<p> DOI:<br />10.1038/s41467-025-65530-4</p>
<p> Reference:<br />Holcik L., von Haeseler A., Pflug F. G. Genomic GC bias correction improves species abundance estimation from metagenomic data. Nature Communications. 2025;16:10523. https://doi.org/10.1038/s41467-025-65530-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/gc-bias-correction-metagenomics</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript content for core scientific claims and results described in the article, including GC bias problems in metagenomics, the GuaCAMOLE algorithm, GC-bin strategy and QC, benchmarking results (simulated and mock data), CRC meta-analysis findings, and limitations/future work.<br />- transcript topics: GC bias in metagenomic sequencing; GuaCAMOLE algorithm overview and alignment-free design; GC-bin read counting and abundance estimation; False-positive taxon filtering and QC; Benchmarking on simulated data and mock communities; Four GC-bias shapes across colorectal cancer gut microbiomes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- GC content affects sequencing efficiency and biases vary by protocol<br />- GuaCAMOLE is alignment-free and uses Kraken2/Bracken for initial taxon assignment with GC-bin stratification<br />- Abundances and GC-dependent sequencing efficiencies are solved simultaneously via least-squares estimation<br />- False-positive taxa are screened via GC-distribution outlier detection<br />- Simulated data show mean relative error &lt; 1% for GuaCAMOLE versus 10–30% for Bracken<br />- Mock community across 28 protocols reveals four distinct GC-efficiency shapes</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Holcik L et al., Nature Communications, doi:10.1038/s41467-025-65530-4 - GuaCAMOLE is an alignment-free algorithm that estimates and removes genomic GC-content-dependent sequencing bias to produce more accurate species abundance estimates from single metagenomic samples. Key terms: GC bias, metagenomics, species abundance, GuaCAMOLE, colorectal cancer.
 Study Highlights:GuaCAMOLE combines Kraken2/Bracken read assignment with per-taxon GC binning and a regularized least-squares estimator to infer GC-dependent sequencing efficiencies and bias-corrected abundances from a single sample. On simulations and mock communities across 28 library protocols it produced near-unbiased estimates and outperformed Bracken and MetaPhlAn4 when GC bias was present. Application to 3,435 gut microbiomes from 33 colorectal cancer studies revealed four distinct protocol-specific GC-bias shapes and systematic underestimation of GC-poor taxa. The tool also filters false-positive taxa by comparing observed and expected GC distributions and can apply inferred efficiencies to correct other tools' outputs.
 Conclusion:Per-sample GC-bias correction with GuaCAMOLE improves accuracy and comparability of metagenomic species abundance estimates across diverse protocols
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genomic GC bias correction improves species abundance estimation from metagenomic data
 First author:Holcik L
 Journal:Nature Communications, doi:10.1038/s41467-025-65530-4
 DOI:10.1038/s41467-025-65530-4
 Reference:Holcik L., von Haeseler A., Pflug F. G. Genomic GC bias correction improves species abundance estimation from metagenomic data. Nature Communications. 2025;16:10523. https://doi.org/10.1038/s41467-025-65530-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/gc-bias-correction-metagenomics
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript content for core scientific claims and results described in the article, including GC bias problems in metagenomics, the GuaCAMOLE algorithm, GC-bin strategy and QC, benchmarking results (simulated and mock data), CRC meta-analysis findings, and limitations/future work.- transcript topics: GC bias in metagenomic sequencing; GuaCAMOLE algorithm overview and alignment-free design; GC-bin read counting and abundance estimation; False-positive taxon filtering and QC; Benchmarking on simulated data and mock communities; Four GC-bias shapes across colorectal cancer gut microbiomes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- GC content affects sequencing efficiency and biases vary by protocol- GuaCAMOLE is alignment-free and uses Kraken2/Bracken for initial taxon assignment with GC-bin stratification- Abundances and GC-dependent sequencing efficiencies are solved simultaneously via lea...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2322432/c1a-p6xp7-9jg0oow6hrnn-oqjowj.png"></itunes:image>
                                                                            <itunes:duration>00:17:09</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[257: PSMC5: proteasomes, immunity and neurodevelopment]]>
                </title>
                <pubDate>Mon, 12 Jan 2026 06:21:26 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2319911</guid>
                                    <link>https://basebybase.castos.com/episodes/psmc5-proteasome-neurodevelopment</link>
                                <description>
                                            <![CDATA[<p>Küry S et al., Nature Communications, doi:10.1038/s41467-025-65556-8 - This study describes 26 distinct PSMC5 variants in 44 individuals and demonstrates that PSMC5 loss impairs proteasome function, driving proteotoxic stress, mitochondrial and lipid dysregulation, sterile type I interferon activation, and neurodevelopmental deficits. Key terms: PSMC5, proteasome, neurodevelopment, interferon, mitophagy.</p>
<p> Study Highlights:<br />Twenty-six distinct PSMC5 variants were identified in 44 affected individuals, mostly heterozygous and de novo, clustering in the AAA+ ATPase domain and predicted to be pathogenic. Functional assays and patient T cells show that many variants perturb PSMC5 incorporation into 26S proteasomes, reduce proteasome activity, and increase ubiquitin-positive aggregates and aggresomes. Multi-omics of patient T cells revealed disrupted mitochondrial proteostasis with increased mitophagy, altered glycerophospholipid profiles and impaired ribosome biogenesis. Neuronal models and Drosophila demonstrate reduced excitatory synapses, E/I imbalance, impaired neuritogenesis, deficits in reversal learning and compromised NPC differentiation, while ISR kinases PKR and GCN2 plus cGAS-STING and JAK pathways mediate a spontaneous type I IFN response that can be pharmacologically reduced.</p>
<p> Conclusion:<br />PSMC5 variants cause proteasome loss-of-function that links proteotoxic stress to innate immune activation and impaired neurogenesis, identifying ISR and JAK pathway components as potential therapeutic targets.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Investigating the neuronal role of the proteasomal ATPase subunit gene PSMC5 in neurodevelopmental proteasomopathies</p>
<p> First author:<br />Küry S</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65556-8</p>
<p> DOI:<br />10.1038/s41467-025-65556-8</p>
<p> Reference:<br />Küry S, Bézieau S, Ebstein F, et al. Investigating the neuronal role of the proteasomal ATPase subunit gene PSMC5 in neurodevelopmental proteasomopathies. Nature Communications. 2025;16:10545. https://doi.org/10.1038/s41467-025-65556-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/psmc5-proteasome-neurodevelopment</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content describing PSMC5/UPS biology, variant effects, multi-model analyses (Drosophila, rat neurons, iPSC-derived NPCs), ISR and IFN signaling, lipid/mitophagy changes, synaptic balance, and therapeutic implications.<br />- transcript topics: PSMC5 and 26S proteasome function; PSMC5 variants and neurodevelopmental proteasomopathies; Proteotoxic stress and aggresome formation; Mitochondrial dysfunction and mitophagy; Lipid metabolism dysregulation; Integrated stress response (PKR/GCN2) and type I interferon signaling</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 26 distinct PSMC5...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Küry S et al., Nature Communications, doi:10.1038/s41467-025-65556-8 - This study describes 26 distinct PSMC5 variants in 44 individuals and demonstrates that PSMC5 loss impairs proteasome function, driving proteotoxic stress, mitochondrial and lipid dysregulation, sterile type I interferon activation, and neurodevelopmental deficits. Key terms: PSMC5, proteasome, neurodevelopment, interferon, mitophagy.
 Study Highlights:Twenty-six distinct PSMC5 variants were identified in 44 affected individuals, mostly heterozygous and de novo, clustering in the AAA+ ATPase domain and predicted to be pathogenic. Functional assays and patient T cells show that many variants perturb PSMC5 incorporation into 26S proteasomes, reduce proteasome activity, and increase ubiquitin-positive aggregates and aggresomes. Multi-omics of patient T cells revealed disrupted mitochondrial proteostasis with increased mitophagy, altered glycerophospholipid profiles and impaired ribosome biogenesis. Neuronal models and Drosophila demonstrate reduced excitatory synapses, E/I imbalance, impaired neuritogenesis, deficits in reversal learning and compromised NPC differentiation, while ISR kinases PKR and GCN2 plus cGAS-STING and JAK pathways mediate a spontaneous type I IFN response that can be pharmacologically reduced.
 Conclusion:PSMC5 variants cause proteasome loss-of-function that links proteotoxic stress to innate immune activation and impaired neurogenesis, identifying ISR and JAK pathway components as potential therapeutic targets.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Investigating the neuronal role of the proteasomal ATPase subunit gene PSMC5 in neurodevelopmental proteasomopathies
 First author:Küry S
 Journal:Nature Communications, doi:10.1038/s41467-025-65556-8
 DOI:10.1038/s41467-025-65556-8
 Reference:Küry S, Bézieau S, Ebstein F, et al. Investigating the neuronal role of the proteasomal ATPase subunit gene PSMC5 in neurodevelopmental proteasomopathies. Nature Communications. 2025;16:10545. https://doi.org/10.1038/s41467-025-65556-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/psmc5-proteasome-neurodevelopment
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content describing PSMC5/UPS biology, variant effects, multi-model analyses (Drosophila, rat neurons, iPSC-derived NPCs), ISR and IFN signaling, lipid/mitophagy changes, synaptic balance, and therapeutic implications.- transcript topics: PSMC5 and 26S proteasome function; PSMC5 variants and neurodevelopmental proteasomopathies; Proteotoxic stress and aggresome formation; Mitochondrial dysfunction and mitophagy; Lipid metabolism dysregulation; Integrated stress response (PKR/GCN2) and type I interferon signaling
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 26 distinct PSMC5...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[257: PSMC5: proteasomes, immunity and neurodevelopment]]>
                </itunes:title>
                                    <itunes:episode>257</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Küry S et al., Nature Communications, doi:10.1038/s41467-025-65556-8 - This study describes 26 distinct PSMC5 variants in 44 individuals and demonstrates that PSMC5 loss impairs proteasome function, driving proteotoxic stress, mitochondrial and lipid dysregulation, sterile type I interferon activation, and neurodevelopmental deficits. Key terms: PSMC5, proteasome, neurodevelopment, interferon, mitophagy.</p>
<p> Study Highlights:<br />Twenty-six distinct PSMC5 variants were identified in 44 affected individuals, mostly heterozygous and de novo, clustering in the AAA+ ATPase domain and predicted to be pathogenic. Functional assays and patient T cells show that many variants perturb PSMC5 incorporation into 26S proteasomes, reduce proteasome activity, and increase ubiquitin-positive aggregates and aggresomes. Multi-omics of patient T cells revealed disrupted mitochondrial proteostasis with increased mitophagy, altered glycerophospholipid profiles and impaired ribosome biogenesis. Neuronal models and Drosophila demonstrate reduced excitatory synapses, E/I imbalance, impaired neuritogenesis, deficits in reversal learning and compromised NPC differentiation, while ISR kinases PKR and GCN2 plus cGAS-STING and JAK pathways mediate a spontaneous type I IFN response that can be pharmacologically reduced.</p>
<p> Conclusion:<br />PSMC5 variants cause proteasome loss-of-function that links proteotoxic stress to innate immune activation and impaired neurogenesis, identifying ISR and JAK pathway components as potential therapeutic targets.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Investigating the neuronal role of the proteasomal ATPase subunit gene PSMC5 in neurodevelopmental proteasomopathies</p>
<p> First author:<br />Küry S</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65556-8</p>
<p> DOI:<br />10.1038/s41467-025-65556-8</p>
<p> Reference:<br />Küry S, Bézieau S, Ebstein F, et al. Investigating the neuronal role of the proteasomal ATPase subunit gene PSMC5 in neurodevelopmental proteasomopathies. Nature Communications. 2025;16:10545. https://doi.org/10.1038/s41467-025-65556-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/psmc5-proteasome-neurodevelopment</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content describing PSMC5/UPS biology, variant effects, multi-model analyses (Drosophila, rat neurons, iPSC-derived NPCs), ISR and IFN signaling, lipid/mitophagy changes, synaptic balance, and therapeutic implications.<br />- transcript topics: PSMC5 and 26S proteasome function; PSMC5 variants and neurodevelopmental proteasomopathies; Proteotoxic stress and aggresome formation; Mitochondrial dysfunction and mitophagy; Lipid metabolism dysregulation; Integrated stress response (PKR/GCN2) and type I interferon signaling</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 26 distinct PSMC5 variants identified in 44 individuals<br />- Variants cluster in the AAA+ ATPase domain; Arg325Trp recurring<br />- Loss of PSMC5 function impairs proteasome activity, causing proteotoxic stress and aggresome formation<br />- Mitophagy is increased and lipid metabolism is disrupted (50% increase in cholesterol esters; decreased glycerophospholipids)<br />- Transcriptomic/type I IFN signature elevated in patient T cells; ISR mediates IFN induction; PKR/GCN2 inhibitors reduce IFN scores; baricitinib (JAK inhibitor) also reduces IFN sco<br />- Arg325Trp variant impairs neural progenitor cell differentiation in iPSC models</p>
<p>QC result: Pass.</p>]]>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Küry S et al., Nature Communications, doi:10.1038/s41467-025-65556-8 - This study describes 26 distinct PSMC5 variants in 44 individuals and demonstrates that PSMC5 loss impairs proteasome function, driving proteotoxic stress, mitochondrial and lipid dysregulation, sterile type I interferon activation, and neurodevelopmental deficits. Key terms: PSMC5, proteasome, neurodevelopment, interferon, mitophagy.
 Study Highlights:Twenty-six distinct PSMC5 variants were identified in 44 affected individuals, mostly heterozygous and de novo, clustering in the AAA+ ATPase domain and predicted to be pathogenic. Functional assays and patient T cells show that many variants perturb PSMC5 incorporation into 26S proteasomes, reduce proteasome activity, and increase ubiquitin-positive aggregates and aggresomes. Multi-omics of patient T cells revealed disrupted mitochondrial proteostasis with increased mitophagy, altered glycerophospholipid profiles and impaired ribosome biogenesis. Neuronal models and Drosophila demonstrate reduced excitatory synapses, E/I imbalance, impaired neuritogenesis, deficits in reversal learning and compromised NPC differentiation, while ISR kinases PKR and GCN2 plus cGAS-STING and JAK pathways mediate a spontaneous type I IFN response that can be pharmacologically reduced.
 Conclusion:PSMC5 variants cause proteasome loss-of-function that links proteotoxic stress to innate immune activation and impaired neurogenesis, identifying ISR and JAK pathway components as potential therapeutic targets.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Investigating the neuronal role of the proteasomal ATPase subunit gene PSMC5 in neurodevelopmental proteasomopathies
 First author:Küry S
 Journal:Nature Communications, doi:10.1038/s41467-025-65556-8
 DOI:10.1038/s41467-025-65556-8
 Reference:Küry S, Bézieau S, Ebstein F, et al. Investigating the neuronal role of the proteasomal ATPase subunit gene PSMC5 in neurodevelopmental proteasomopathies. Nature Communications. 2025;16:10545. https://doi.org/10.1038/s41467-025-65556-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/psmc5-proteasome-neurodevelopment
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content describing PSMC5/UPS biology, variant effects, multi-model analyses (Drosophila, rat neurons, iPSC-derived NPCs), ISR and IFN signaling, lipid/mitophagy changes, synaptic balance, and therapeutic implications.- transcript topics: PSMC5 and 26S proteasome function; PSMC5 variants and neurodevelopmental proteasomopathies; Proteotoxic stress and aggresome formation; Mitochondrial dysfunction and mitophagy; Lipid metabolism dysregulation; Integrated stress response (PKR/GCN2) and type I interferon signaling
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 26 distinct PSMC5...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2319911/c1a-p6xp7-ok03oopqfow0-pnsakq.png"></itunes:image>
                                                                            <itunes:duration>00:18:05</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[256: Compartmental control of VSG silencing]]>
                </title>
                <pubDate>Sun, 11 Jan 2026 19:39:49 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2319778</guid>
                                    <link>https://basebybase.castos.com/episodes/compartment-vsg-silencing</link>
                                <description>
                                            <![CDATA[<p>Antunes et al., Nature Communications - The study shows that spatial segregation of core and subtelomeric chromosome compartments, demarcated by protein-rich boundaries and controlled by a phosphoinositide regulator, is required to silence subtelomeric VSG genes. Key terms: RAP1, PIP5Pase, VSG, Hi-C, chromatin.</p>
<p> Study Highlights:<br />Hi-C and Pore-C reveal that T. brucei chromosomes are organized into transcribed core (A) and repressed subtelomeric (B) compartments that contain TADs and loops. XLMS and ChIP-seq identify compartment-boundary proteins including RAP1, HDAC1, HAT1 and BDF2, with RAP1 spreading across silent subtelomeric regions. Boundaries from multiple chromosomes co-interact and are enriched for repeat motifs resembling telomeric and centromeric sequences. Inactivation or knockdown of the PIP5Pase regulator disrupts intra-compartment contacts, displaces RAP1 from boundaries and subtelomeres, and activates hundreds of silent VSG genes.</p>
<p> Conclusion:<br />Assembly of chromosome compartments and PIP5Pase-regulated RAP1 binding are essential for subtelomeric VSG gene silencing in T. brucei.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Chromosome compartment assembly is essential for subtelomeric gene silencing in trypanosomes</p>
<p> First author:<br />Antunes</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66824-3</p>
<p> Reference:<br />Antunes, L.B., Isebe, T., Kutova, O. et al. Chromosome compartment assembly is essential for subtelomeric gene silencing in trypanosomes. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66824-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/compartment-vsg-silencing</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing focused on the transcript’s coverage of 3D genome compartments (A/B), boundary proteins (RAP1, BDF2, HAT1, HDAC1, ZCW1, etc.), XLMS/SPR validation, Hi-C vs Pore-C insights, and the PIP5Pase–PI(3,4,5)P3–RAP1 axis governing VSG silencing and the consequences of PIP5Pase knockdown or catalytic inactiv<br />- transcript topics: VSG gene silencing and monoallelic expression; A/B chromosome compartments and 3D genome organization; RAP1 boundaries and subtelomeric spread; PIP5Pase and PI(3,4,5)P3 signaling regulating RAP1; XLMS network and SPR validation of interactions; Hi-C and Pore-C mapping of TADs/loops and boundary interactions</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Subtelomeric VSG silencing is coupled to chromosome compartmentalization into core (A) and subtelomeric (B) compartments<br />- RAP1 localizes at compartment boundaries and spreads across subtelomeric regions to enforce silencing<br />- PIP5Pase dephosphorylates PI(3,4,5)P3, maintaining RAP1 DNA binding and subtelomeric repression<br />- PIP5Pase knockdown disrupts intra-compartment contacts, displaces RAP1 from bounda...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Antunes et al., Nature Communications - The study shows that spatial segregation of core and subtelomeric chromosome compartments, demarcated by protein-rich boundaries and controlled by a phosphoinositide regulator, is required to silence subtelomeric VSG genes. Key terms: RAP1, PIP5Pase, VSG, Hi-C, chromatin.
 Study Highlights:Hi-C and Pore-C reveal that T. brucei chromosomes are organized into transcribed core (A) and repressed subtelomeric (B) compartments that contain TADs and loops. XLMS and ChIP-seq identify compartment-boundary proteins including RAP1, HDAC1, HAT1 and BDF2, with RAP1 spreading across silent subtelomeric regions. Boundaries from multiple chromosomes co-interact and are enriched for repeat motifs resembling telomeric and centromeric sequences. Inactivation or knockdown of the PIP5Pase regulator disrupts intra-compartment contacts, displaces RAP1 from boundaries and subtelomeres, and activates hundreds of silent VSG genes.
 Conclusion:Assembly of chromosome compartments and PIP5Pase-regulated RAP1 binding are essential for subtelomeric VSG gene silencing in T. brucei.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Chromosome compartment assembly is essential for subtelomeric gene silencing in trypanosomes
 First author:Antunes
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66824-3
 Reference:Antunes, L.B., Isebe, T., Kutova, O. et al. Chromosome compartment assembly is essential for subtelomeric gene silencing in trypanosomes. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66824-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/compartment-vsg-silencing
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing focused on the transcript’s coverage of 3D genome compartments (A/B), boundary proteins (RAP1, BDF2, HAT1, HDAC1, ZCW1, etc.), XLMS/SPR validation, Hi-C vs Pore-C insights, and the PIP5Pase–PI(3,4,5)P3–RAP1 axis governing VSG silencing and the consequences of PIP5Pase knockdown or catalytic inactiv- transcript topics: VSG gene silencing and monoallelic expression; A/B chromosome compartments and 3D genome organization; RAP1 boundaries and subtelomeric spread; PIP5Pase and PI(3,4,5)P3 signaling regulating RAP1; XLMS network and SPR validation of interactions; Hi-C and Pore-C mapping of TADs/loops and boundary interactions
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Subtelomeric VSG silencing is coupled to chromosome compartmentalization into core (A) and subtelomeric (B) compartments- RAP1 localizes at compartment boundaries and spreads across subtelomeric regions to enforce silencing- PIP5Pase dephosphorylates PI(3,4,5)P3, maintaining RAP1 DNA binding and subtelomeric repression- PIP5Pase knockdown disrupts intra-compartment contacts, displaces RAP1 from bounda...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[256: Compartmental control of VSG silencing]]>
                </itunes:title>
                                    <itunes:episode>256</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Antunes et al., Nature Communications - The study shows that spatial segregation of core and subtelomeric chromosome compartments, demarcated by protein-rich boundaries and controlled by a phosphoinositide regulator, is required to silence subtelomeric VSG genes. Key terms: RAP1, PIP5Pase, VSG, Hi-C, chromatin.</p>
<p> Study Highlights:<br />Hi-C and Pore-C reveal that T. brucei chromosomes are organized into transcribed core (A) and repressed subtelomeric (B) compartments that contain TADs and loops. XLMS and ChIP-seq identify compartment-boundary proteins including RAP1, HDAC1, HAT1 and BDF2, with RAP1 spreading across silent subtelomeric regions. Boundaries from multiple chromosomes co-interact and are enriched for repeat motifs resembling telomeric and centromeric sequences. Inactivation or knockdown of the PIP5Pase regulator disrupts intra-compartment contacts, displaces RAP1 from boundaries and subtelomeres, and activates hundreds of silent VSG genes.</p>
<p> Conclusion:<br />Assembly of chromosome compartments and PIP5Pase-regulated RAP1 binding are essential for subtelomeric VSG gene silencing in T. brucei.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Chromosome compartment assembly is essential for subtelomeric gene silencing in trypanosomes</p>
<p> First author:<br />Antunes</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66824-3</p>
<p> Reference:<br />Antunes, L.B., Isebe, T., Kutova, O. et al. Chromosome compartment assembly is essential for subtelomeric gene silencing in trypanosomes. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66824-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/compartment-vsg-silencing</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing focused on the transcript’s coverage of 3D genome compartments (A/B), boundary proteins (RAP1, BDF2, HAT1, HDAC1, ZCW1, etc.), XLMS/SPR validation, Hi-C vs Pore-C insights, and the PIP5Pase–PI(3,4,5)P3–RAP1 axis governing VSG silencing and the consequences of PIP5Pase knockdown or catalytic inactiv<br />- transcript topics: VSG gene silencing and monoallelic expression; A/B chromosome compartments and 3D genome organization; RAP1 boundaries and subtelomeric spread; PIP5Pase and PI(3,4,5)P3 signaling regulating RAP1; XLMS network and SPR validation of interactions; Hi-C and Pore-C mapping of TADs/loops and boundary interactions</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Subtelomeric VSG silencing is coupled to chromosome compartmentalization into core (A) and subtelomeric (B) compartments<br />- RAP1 localizes at compartment boundaries and spreads across subtelomeric regions to enforce silencing<br />- PIP5Pase dephosphorylates PI(3,4,5)P3, maintaining RAP1 DNA binding and subtelomeric repression<br />- PIP5Pase knockdown disrupts intra-compartment contacts, displaces RAP1 from boundaries/subtelomeres, and derepresses subtelomeric VSG genes<br />- Hi-C and Pore-C identify A/B compartments, TADs, and chromatin loops; boundaries co-interact<br />- Catalytically inactive PIP5Pase displaces RAP1 and derepresses subtelomeric VSG genes</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2319778/c1e-g6zrncmqz70b050d4-1pr1gv2di8xj-n36wnz.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2319778&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fcompartment-vsg-silencing&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=e33b155bf8ccf1f3c6631a6018af5cb9d9d60c7e895d50ae6a3a9363f3d1d25f" length="27300141"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Antunes et al., Nature Communications - The study shows that spatial segregation of core and subtelomeric chromosome compartments, demarcated by protein-rich boundaries and controlled by a phosphoinositide regulator, is required to silence subtelomeric VSG genes. Key terms: RAP1, PIP5Pase, VSG, Hi-C, chromatin.
 Study Highlights:Hi-C and Pore-C reveal that T. brucei chromosomes are organized into transcribed core (A) and repressed subtelomeric (B) compartments that contain TADs and loops. XLMS and ChIP-seq identify compartment-boundary proteins including RAP1, HDAC1, HAT1 and BDF2, with RAP1 spreading across silent subtelomeric regions. Boundaries from multiple chromosomes co-interact and are enriched for repeat motifs resembling telomeric and centromeric sequences. Inactivation or knockdown of the PIP5Pase regulator disrupts intra-compartment contacts, displaces RAP1 from boundaries and subtelomeres, and activates hundreds of silent VSG genes.
 Conclusion:Assembly of chromosome compartments and PIP5Pase-regulated RAP1 binding are essential for subtelomeric VSG gene silencing in T. brucei.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Chromosome compartment assembly is essential for subtelomeric gene silencing in trypanosomes
 First author:Antunes
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66824-3
 Reference:Antunes, L.B., Isebe, T., Kutova, O. et al. Chromosome compartment assembly is essential for subtelomeric gene silencing in trypanosomes. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66824-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/compartment-vsg-silencing
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing focused on the transcript’s coverage of 3D genome compartments (A/B), boundary proteins (RAP1, BDF2, HAT1, HDAC1, ZCW1, etc.), XLMS/SPR validation, Hi-C vs Pore-C insights, and the PIP5Pase–PI(3,4,5)P3–RAP1 axis governing VSG silencing and the consequences of PIP5Pase knockdown or catalytic inactiv- transcript topics: VSG gene silencing and monoallelic expression; A/B chromosome compartments and 3D genome organization; RAP1 boundaries and subtelomeric spread; PIP5Pase and PI(3,4,5)P3 signaling regulating RAP1; XLMS network and SPR validation of interactions; Hi-C and Pore-C mapping of TADs/loops and boundary interactions
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Subtelomeric VSG silencing is coupled to chromosome compartmentalization into core (A) and subtelomeric (B) compartments- RAP1 localizes at compartment boundaries and spreads across subtelomeric regions to enforce silencing- PIP5Pase dephosphorylates PI(3,4,5)P3, maintaining RAP1 DNA binding and subtelomeric repression- PIP5Pase knockdown disrupts intra-compartment contacts, displaces RAP1 from bounda...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2319778/c1a-p6xp7-0v02zz94szpw-uedl0j.png"></itunes:image>
                                                                            <itunes:duration>00:18:52</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[255: Lipids, Ions and the AE1 Elevator]]>
                </title>
                <pubDate>Sat, 10 Jan 2026 08:32:44 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2318800</guid>
                                    <link>https://basebybase.castos.com/episodes/pipt2-inhibits-ae1</link>
                                <description>
                                            <![CDATA[<p>Chen T et al., Nature Communications - Cryo-EM structures, uptake assays, and molecular dynamics show that PIP2 lipids bind at the AE1 dimer interface and inhibit the OF⇌IF conformational transition while substrate binding lowers the transition barrier. Key terms: AE1, PIP2, bicarbonate transport, cryo-EM, molecular dynamics.</p>
<p> Study Highlights:<br />Three high-resolution cryo-EM states were solved: two inward-facing (IF1, IF2) and one outward-facing (OF). Proteoliposome uptake assays show that depleting or masking PIP2 increases HCO3– and I– transport. MD simulations identify recurring anion binding in the lumen with R730 as a key coordinating residue and estimate tighter HCO3– binding than Cl–. Enhanced-sampling free energy profiles reveal that HCO3– binding lowers the OF⇌IF barrier by ~3 kcal/mol while removing PIP2 lowers it by ~2 kcal/mol. Mechanistically, HCO3– stabilizes a transition-state conformation by promoting R730 contact with the scaffold domain.</p>
<p> Conclusion:<br />PIP2 stabilizes AE1 in a conformation that raises the transport transition barrier and inhibits activity, whereas substrate binding promotes the transition and facilitates transport.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Impact of anionic lipids on the energy landscape of conformational transition in anion exchanger 1 (AE1)</p>
<p> First author:<br />Chen T</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66786-6</p>
<p> Reference:<br />Chen T, Vallese F, Gil-Iturbe E, Kim K, Calì T, Quick M, Clarke OB, Tajkhorshid E. Impact of anionic lipids on the energy landscape of conformational transition in anion exchanger 1 (AE1). Nature Communications. 2025. https://doi.org/10.1038/s41467-025-66786-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pipt2-inhibits-ae1</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing AE1 elevator mechanism (TD/SD), R730 and ion binding, bicarbonate vs chloride affinity, PIP2 as a regulatory brake, energy landscape via BEUS/SMwST, cross-linking to trap IF, and the three-state (OF, IF1, IF2) structural context, plus functional uptake assays.<br />- transcript topics: AE1 elevator mechanism (TD/SD architecture); R730 and luminal anion binding sites; Bicarbonate vs chloride binding affinities (Kd values); PIP2 binding site at the dimer interface and K743 salt bridge; PIP2 as molecular brake and its removal increasing activity; Energy landscape and conformational transitions (BEUS/SMwST)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PIP2 binds at the AE1 dimer interface and inhibits the OF⇌IF conformational transition.<br />- Substrate binding (HCO3−) lowers the transition barrier by ~3 kcal/mol.<br />- PIP2 binding raises the transition barrier by ~2 kcal/mol; removal lowers it.<br />- R730 is a key coordinating residue for bicar...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Chen T et al., Nature Communications - Cryo-EM structures, uptake assays, and molecular dynamics show that PIP2 lipids bind at the AE1 dimer interface and inhibit the OF⇌IF conformational transition while substrate binding lowers the transition barrier. Key terms: AE1, PIP2, bicarbonate transport, cryo-EM, molecular dynamics.
 Study Highlights:Three high-resolution cryo-EM states were solved: two inward-facing (IF1, IF2) and one outward-facing (OF). Proteoliposome uptake assays show that depleting or masking PIP2 increases HCO3– and I– transport. MD simulations identify recurring anion binding in the lumen with R730 as a key coordinating residue and estimate tighter HCO3– binding than Cl–. Enhanced-sampling free energy profiles reveal that HCO3– binding lowers the OF⇌IF barrier by ~3 kcal/mol while removing PIP2 lowers it by ~2 kcal/mol. Mechanistically, HCO3– stabilizes a transition-state conformation by promoting R730 contact with the scaffold domain.
 Conclusion:PIP2 stabilizes AE1 in a conformation that raises the transport transition barrier and inhibits activity, whereas substrate binding promotes the transition and facilitates transport.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Impact of anionic lipids on the energy landscape of conformational transition in anion exchanger 1 (AE1)
 First author:Chen T
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66786-6
 Reference:Chen T, Vallese F, Gil-Iturbe E, Kim K, Calì T, Quick M, Clarke OB, Tajkhorshid E. Impact of anionic lipids on the energy landscape of conformational transition in anion exchanger 1 (AE1). Nature Communications. 2025. https://doi.org/10.1038/s41467-025-66786-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pipt2-inhibits-ae1
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing AE1 elevator mechanism (TD/SD), R730 and ion binding, bicarbonate vs chloride affinity, PIP2 as a regulatory brake, energy landscape via BEUS/SMwST, cross-linking to trap IF, and the three-state (OF, IF1, IF2) structural context, plus functional uptake assays.- transcript topics: AE1 elevator mechanism (TD/SD architecture); R730 and luminal anion binding sites; Bicarbonate vs chloride binding affinities (Kd values); PIP2 binding site at the dimer interface and K743 salt bridge; PIP2 as molecular brake and its removal increasing activity; Energy landscape and conformational transitions (BEUS/SMwST)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- PIP2 binds at the AE1 dimer interface and inhibits the OF⇌IF conformational transition.- Substrate binding (HCO3−) lowers the transition barrier by ~3 kcal/mol.- PIP2 binding raises the transition barrier by ~2 kcal/mol; removal lowers it.- R730 is a key coordinating residue for bicar...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[255: Lipids, Ions and the AE1 Elevator]]>
                </itunes:title>
                                    <itunes:episode>255</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Chen T et al., Nature Communications - Cryo-EM structures, uptake assays, and molecular dynamics show that PIP2 lipids bind at the AE1 dimer interface and inhibit the OF⇌IF conformational transition while substrate binding lowers the transition barrier. Key terms: AE1, PIP2, bicarbonate transport, cryo-EM, molecular dynamics.</p>
<p> Study Highlights:<br />Three high-resolution cryo-EM states were solved: two inward-facing (IF1, IF2) and one outward-facing (OF). Proteoliposome uptake assays show that depleting or masking PIP2 increases HCO3– and I– transport. MD simulations identify recurring anion binding in the lumen with R730 as a key coordinating residue and estimate tighter HCO3– binding than Cl–. Enhanced-sampling free energy profiles reveal that HCO3– binding lowers the OF⇌IF barrier by ~3 kcal/mol while removing PIP2 lowers it by ~2 kcal/mol. Mechanistically, HCO3– stabilizes a transition-state conformation by promoting R730 contact with the scaffold domain.</p>
<p> Conclusion:<br />PIP2 stabilizes AE1 in a conformation that raises the transport transition barrier and inhibits activity, whereas substrate binding promotes the transition and facilitates transport.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Impact of anionic lipids on the energy landscape of conformational transition in anion exchanger 1 (AE1)</p>
<p> First author:<br />Chen T</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66786-6</p>
<p> Reference:<br />Chen T, Vallese F, Gil-Iturbe E, Kim K, Calì T, Quick M, Clarke OB, Tajkhorshid E. Impact of anionic lipids on the energy landscape of conformational transition in anion exchanger 1 (AE1). Nature Communications. 2025. https://doi.org/10.1038/s41467-025-66786-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pipt2-inhibits-ae1</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing AE1 elevator mechanism (TD/SD), R730 and ion binding, bicarbonate vs chloride affinity, PIP2 as a regulatory brake, energy landscape via BEUS/SMwST, cross-linking to trap IF, and the three-state (OF, IF1, IF2) structural context, plus functional uptake assays.<br />- transcript topics: AE1 elevator mechanism (TD/SD architecture); R730 and luminal anion binding sites; Bicarbonate vs chloride binding affinities (Kd values); PIP2 binding site at the dimer interface and K743 salt bridge; PIP2 as molecular brake and its removal increasing activity; Energy landscape and conformational transitions (BEUS/SMwST)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PIP2 binds at the AE1 dimer interface and inhibits the OF⇌IF conformational transition.<br />- Substrate binding (HCO3−) lowers the transition barrier by ~3 kcal/mol.<br />- PIP2 binding raises the transition barrier by ~2 kcal/mol; removal lowers it.<br />- R730 is a key coordinating residue for bicarbonate and chloride binding in AE1 lumen.<br />- HCO3− binding affinity is higher than Cl− in both OF and IF states (Kd values reported).<br />- AE1 operates via an elevator mechanism with TD translating/rotating relative to SD.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Chen T et al., Nature Communications - Cryo-EM structures, uptake assays, and molecular dynamics show that PIP2 lipids bind at the AE1 dimer interface and inhibit the OF⇌IF conformational transition while substrate binding lowers the transition barrier. Key terms: AE1, PIP2, bicarbonate transport, cryo-EM, molecular dynamics.
 Study Highlights:Three high-resolution cryo-EM states were solved: two inward-facing (IF1, IF2) and one outward-facing (OF). Proteoliposome uptake assays show that depleting or masking PIP2 increases HCO3– and I– transport. MD simulations identify recurring anion binding in the lumen with R730 as a key coordinating residue and estimate tighter HCO3– binding than Cl–. Enhanced-sampling free energy profiles reveal that HCO3– binding lowers the OF⇌IF barrier by ~3 kcal/mol while removing PIP2 lowers it by ~2 kcal/mol. Mechanistically, HCO3– stabilizes a transition-state conformation by promoting R730 contact with the scaffold domain.
 Conclusion:PIP2 stabilizes AE1 in a conformation that raises the transport transition barrier and inhibits activity, whereas substrate binding promotes the transition and facilitates transport.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Impact of anionic lipids on the energy landscape of conformational transition in anion exchanger 1 (AE1)
 First author:Chen T
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66786-6
 Reference:Chen T, Vallese F, Gil-Iturbe E, Kim K, Calì T, Quick M, Clarke OB, Tajkhorshid E. Impact of anionic lipids on the energy landscape of conformational transition in anion exchanger 1 (AE1). Nature Communications. 2025. https://doi.org/10.1038/s41467-025-66786-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pipt2-inhibits-ae1
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing AE1 elevator mechanism (TD/SD), R730 and ion binding, bicarbonate vs chloride affinity, PIP2 as a regulatory brake, energy landscape via BEUS/SMwST, cross-linking to trap IF, and the three-state (OF, IF1, IF2) structural context, plus functional uptake assays.- transcript topics: AE1 elevator mechanism (TD/SD architecture); R730 and luminal anion binding sites; Bicarbonate vs chloride binding affinities (Kd values); PIP2 binding site at the dimer interface and K743 salt bridge; PIP2 as molecular brake and its removal increasing activity; Energy landscape and conformational transitions (BEUS/SMwST)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- PIP2 binds at the AE1 dimer interface and inhibits the OF⇌IF conformational transition.- Substrate binding (HCO3−) lowers the transition barrier by ~3 kcal/mol.- PIP2 binding raises the transition barrier by ~2 kcal/mol; removal lowers it.- R730 is a key coordinating residue for bicar...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2318800/c1a-p6xp7-ndr4xx1zf4-2gzbvb.png"></itunes:image>
                                                                            <itunes:duration>00:19:08</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[254: Rescuing the replisome at a nick]]>
                </title>
                <pubDate>Fri, 09 Jan 2026 08:11:53 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2318798</guid>
                                    <link>https://basebybase.castos.com/episodes/replisome-nick-repair</link>
                                <description>
                                            <![CDATA[<p>Winterhalter et al., Nature Communications - Cas9 nickases in Bacillus subtilis show that single-strand nicks in either template strand arrest DNA replication, create single-end double-strand breaks, and require homologous recombination plus PriA-dependent helicase reloading for replication restart. Key terms: DNA replication, recombinational repair, AddAB, PriA, SSB.</p>
<p> Study Highlights:<br />Site-specific nicks created with Cas9D10A block DNA synthesis downstream of the nick and induce RecA bundling in live cells. ChIP-qPCR shows helicase enrichment upstream of nicks and persistence downstream when the leading strand template is nicked, indicating helicase runs off the template for lagging-strand nicks but translocates onto dsDNA for leading-strand nicks. Genetic and marker frequency analyses identify AddAB helicase activity, RecFOR, RecA, RecG and PriA as essential for repair and PriA-dependent helicase reloading to resume replication. SSB C-terminal tail is required to recruit RecO and enable RecA loading, while AddAB nuclease activity is largely dispensable if helicase activity and an alternative nuclease provide ssDNA.</p>
<p> Conclusion:<br />B. subtilis repairs replisome inactivation at single-strand discontinuities via AddAB-mediated end-processing, RecFOR/RecA-mediated recombination, and PriA-dependent helicase reloading to restart replication</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Rescuing the bacterial replisome at a nick requires recombinational repair and helicase reloading</p>
<p> First author:<br />Winterhalter</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66550-w</p>
<p> Reference:<br />Winterhalter, C., Stratton, K.J., Fenyk, S. et al. Rescuing the bacterial replisome at a nick requires recombinational repair and helicase reloading. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66550-w</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/replisome-nick-repair</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of the nickase system, replication arrest, downstream molecular events (AddAB end-processing, SSB recruitment, RecFOR/RecA loading, RecG/RecU roles), PriA-dependent helicase reloading, and the manuscript’s implications for antibiotic strategies.<br />- transcript topics: Cas9 nickase system in Bacillus subtilis; Replication arrest and MFA evidence; Fate of helicase at leading vs lagging strand nick; PriA-dependent replication restart pathway; AddAB end-processing and SSB recruitment; RecFOR-mediated RecA loading via SSB-CTT</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Cas9 nickase system creates site-specific nicks in Bacillus subtilis<br />- Nick on either leading or lagging strand arrests replication downstream<br />- Replication restart requires recombinational repair and PriA-dependent restart<br />- Add...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Winterhalter et al., Nature Communications - Cas9 nickases in Bacillus subtilis show that single-strand nicks in either template strand arrest DNA replication, create single-end double-strand breaks, and require homologous recombination plus PriA-dependent helicase reloading for replication restart. Key terms: DNA replication, recombinational repair, AddAB, PriA, SSB.
 Study Highlights:Site-specific nicks created with Cas9D10A block DNA synthesis downstream of the nick and induce RecA bundling in live cells. ChIP-qPCR shows helicase enrichment upstream of nicks and persistence downstream when the leading strand template is nicked, indicating helicase runs off the template for lagging-strand nicks but translocates onto dsDNA for leading-strand nicks. Genetic and marker frequency analyses identify AddAB helicase activity, RecFOR, RecA, RecG and PriA as essential for repair and PriA-dependent helicase reloading to resume replication. SSB C-terminal tail is required to recruit RecO and enable RecA loading, while AddAB nuclease activity is largely dispensable if helicase activity and an alternative nuclease provide ssDNA.
 Conclusion:B. subtilis repairs replisome inactivation at single-strand discontinuities via AddAB-mediated end-processing, RecFOR/RecA-mediated recombination, and PriA-dependent helicase reloading to restart replication
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Rescuing the bacterial replisome at a nick requires recombinational repair and helicase reloading
 First author:Winterhalter
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66550-w
 Reference:Winterhalter, C., Stratton, K.J., Fenyk, S. et al. Rescuing the bacterial replisome at a nick requires recombinational repair and helicase reloading. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66550-w
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/replisome-nick-repair
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of the nickase system, replication arrest, downstream molecular events (AddAB end-processing, SSB recruitment, RecFOR/RecA loading, RecG/RecU roles), PriA-dependent helicase reloading, and the manuscript’s implications for antibiotic strategies.- transcript topics: Cas9 nickase system in Bacillus subtilis; Replication arrest and MFA evidence; Fate of helicase at leading vs lagging strand nick; PriA-dependent replication restart pathway; AddAB end-processing and SSB recruitment; RecFOR-mediated RecA loading via SSB-CTT
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Cas9 nickase system creates site-specific nicks in Bacillus subtilis- Nick on either leading or lagging strand arrests replication downstream- Replication restart requires recombinational repair and PriA-dependent restart- Add...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[254: Rescuing the replisome at a nick]]>
                </itunes:title>
                                    <itunes:episode>254</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Winterhalter et al., Nature Communications - Cas9 nickases in Bacillus subtilis show that single-strand nicks in either template strand arrest DNA replication, create single-end double-strand breaks, and require homologous recombination plus PriA-dependent helicase reloading for replication restart. Key terms: DNA replication, recombinational repair, AddAB, PriA, SSB.</p>
<p> Study Highlights:<br />Site-specific nicks created with Cas9D10A block DNA synthesis downstream of the nick and induce RecA bundling in live cells. ChIP-qPCR shows helicase enrichment upstream of nicks and persistence downstream when the leading strand template is nicked, indicating helicase runs off the template for lagging-strand nicks but translocates onto dsDNA for leading-strand nicks. Genetic and marker frequency analyses identify AddAB helicase activity, RecFOR, RecA, RecG and PriA as essential for repair and PriA-dependent helicase reloading to resume replication. SSB C-terminal tail is required to recruit RecO and enable RecA loading, while AddAB nuclease activity is largely dispensable if helicase activity and an alternative nuclease provide ssDNA.</p>
<p> Conclusion:<br />B. subtilis repairs replisome inactivation at single-strand discontinuities via AddAB-mediated end-processing, RecFOR/RecA-mediated recombination, and PriA-dependent helicase reloading to restart replication</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Rescuing the bacterial replisome at a nick requires recombinational repair and helicase reloading</p>
<p> First author:<br />Winterhalter</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66550-w</p>
<p> Reference:<br />Winterhalter, C., Stratton, K.J., Fenyk, S. et al. Rescuing the bacterial replisome at a nick requires recombinational repair and helicase reloading. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66550-w</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/replisome-nick-repair</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of the nickase system, replication arrest, downstream molecular events (AddAB end-processing, SSB recruitment, RecFOR/RecA loading, RecG/RecU roles), PriA-dependent helicase reloading, and the manuscript’s implications for antibiotic strategies.<br />- transcript topics: Cas9 nickase system in Bacillus subtilis; Replication arrest and MFA evidence; Fate of helicase at leading vs lagging strand nick; PriA-dependent replication restart pathway; AddAB end-processing and SSB recruitment; RecFOR-mediated RecA loading via SSB-CTT</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Cas9 nickase system creates site-specific nicks in Bacillus subtilis<br />- Nick on either leading or lagging strand arrests replication downstream<br />- Replication restart requires recombinational repair and PriA-dependent restart<br />- AddAB helicase activity is necessary for end-processing; nuclease activity dispensable<br />- SSB C-terminal tail is required for efficient recombinational repair via RecO recruitment<br />- RecFOR mediates displacement of SSB to allow RecA loading onto ssDNA</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Winterhalter et al., Nature Communications - Cas9 nickases in Bacillus subtilis show that single-strand nicks in either template strand arrest DNA replication, create single-end double-strand breaks, and require homologous recombination plus PriA-dependent helicase reloading for replication restart. Key terms: DNA replication, recombinational repair, AddAB, PriA, SSB.
 Study Highlights:Site-specific nicks created with Cas9D10A block DNA synthesis downstream of the nick and induce RecA bundling in live cells. ChIP-qPCR shows helicase enrichment upstream of nicks and persistence downstream when the leading strand template is nicked, indicating helicase runs off the template for lagging-strand nicks but translocates onto dsDNA for leading-strand nicks. Genetic and marker frequency analyses identify AddAB helicase activity, RecFOR, RecA, RecG and PriA as essential for repair and PriA-dependent helicase reloading to resume replication. SSB C-terminal tail is required to recruit RecO and enable RecA loading, while AddAB nuclease activity is largely dispensable if helicase activity and an alternative nuclease provide ssDNA.
 Conclusion:B. subtilis repairs replisome inactivation at single-strand discontinuities via AddAB-mediated end-processing, RecFOR/RecA-mediated recombination, and PriA-dependent helicase reloading to restart replication
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Rescuing the bacterial replisome at a nick requires recombinational repair and helicase reloading
 First author:Winterhalter
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66550-w
 Reference:Winterhalter, C., Stratton, K.J., Fenyk, S. et al. Rescuing the bacterial replisome at a nick requires recombinational repair and helicase reloading. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66550-w
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/replisome-nick-repair
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of the nickase system, replication arrest, downstream molecular events (AddAB end-processing, SSB recruitment, RecFOR/RecA loading, RecG/RecU roles), PriA-dependent helicase reloading, and the manuscript’s implications for antibiotic strategies.- transcript topics: Cas9 nickase system in Bacillus subtilis; Replication arrest and MFA evidence; Fate of helicase at leading vs lagging strand nick; PriA-dependent replication restart pathway; AddAB end-processing and SSB recruitment; RecFOR-mediated RecA loading via SSB-CTT
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Cas9 nickase system creates site-specific nicks in Bacillus subtilis- Nick on either leading or lagging strand arrests replication downstream- Replication restart requires recombinational repair and PriA-dependent restart- Add...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2318798/c1a-p6xp7-7z8kddxqc49o-4pc5ev.png"></itunes:image>
                                                                            <itunes:duration>00:19:52</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[253: Nap1 and histone acetylation tune chromatin condensates]]>
                </title>
                <pubDate>Thu, 08 Jan 2026 06:17:53 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2317630</guid>
                                    <link>https://basebybase.castos.com/episodes/nap1-histone-acetylation</link>
                                <description>
                                            <![CDATA[<p>Gao J et al., Nature Communications - H4 tail lysine residues drive liquid-liquid phase separation of 12‑mer nucleosome arrays, while H3 tail acetylation and the histone chaperone Nap1 increase internal dynamics and lower droplet viscosity. Key terms: Nap1, H3 acetylation, H4 acetylation, liquid-liquid phase separation, nucleosome arrays.</p>
<p> Study Highlights:<br />H4 tail lysine residues are the primary drivers of nucleosome array phase separation, and H4-tail acetylation prevents droplet formation. H3 tail acetylation mimic (H3KQ) and in situ H3 acetylation speed fluorescence recovery, indicating enhanced DNA–histone dynamics. Nap1 dissolves gel-like aggregates formed by tailless H3 arrays, increases nucleosome concentration inside droplets from ~326 µM to ~491 µM, and accelerates internal dynamics. STORM imaging reveals condensed droplets contain both a mobile fraction and a relatively immobile structural scaffold. Optical-tweezers microrheology identifies two relaxation components and shows Nap1 and H3KQ specifically lower the relaxation time and viscosity of the slower scaffold-associated component</p>
<p> Conclusion:<br />Histone H4 tail lysines govern chromatin phase separation while H3 acetylation and Nap1 tune the fluidity and accessibility of condensed chromatin</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Roles of histone chaperone Nap1 and histone acetylation in regulating phase-separation of nucleosome arrays</p>
<p> First author:<br />Gao J</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65701-3</p>
<p> Reference:<br />Gao J, Li H, Tan S, Zhou R &amp; Lee T-H. Roles of histone chaperone Nap1 and histone acetylation in regulating phase-separation of nucleosome arrays. Nature Communications. 2025;16:10672. https://doi.org/10.1038/s41467-025-65701-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nap1-histone-acetylation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited sections cover the core biophysical mechanisms and measurements: LLPS initiation by H4 tail, effects of H4KQ and H3KQ on droplet formation and dynamics, Nap1’s dual role, FRAP, STORM, microrheology with two relaxation components, and H2A–H2B exchange context.<br />- transcript topics: LLPS of nucleosome arrays driven by H4 tail lysines; H4KQ acetylation mimic blocks droplet formation; H3 tail acetylation mimic (H3KQ) increases dynamics but does not block LLPS; Nap1 dissolves aggregates and increases nucleosome concentration inside condensates; STORM reveals mobile fraction and immobile scaffold inside droplets; Microrheology with optical traps identifying two relaxation components</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- H4 tail lysine residues drive LLPS of nucleosome arrays<br />- H4KQ acetylation mimic blocks droplet formation<br />- H3KQ acetylation mimic increases dynamic...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Gao J et al., Nature Communications - H4 tail lysine residues drive liquid-liquid phase separation of 12‑mer nucleosome arrays, while H3 tail acetylation and the histone chaperone Nap1 increase internal dynamics and lower droplet viscosity. Key terms: Nap1, H3 acetylation, H4 acetylation, liquid-liquid phase separation, nucleosome arrays.
 Study Highlights:H4 tail lysine residues are the primary drivers of nucleosome array phase separation, and H4-tail acetylation prevents droplet formation. H3 tail acetylation mimic (H3KQ) and in situ H3 acetylation speed fluorescence recovery, indicating enhanced DNA–histone dynamics. Nap1 dissolves gel-like aggregates formed by tailless H3 arrays, increases nucleosome concentration inside droplets from ~326 µM to ~491 µM, and accelerates internal dynamics. STORM imaging reveals condensed droplets contain both a mobile fraction and a relatively immobile structural scaffold. Optical-tweezers microrheology identifies two relaxation components and shows Nap1 and H3KQ specifically lower the relaxation time and viscosity of the slower scaffold-associated component
 Conclusion:Histone H4 tail lysines govern chromatin phase separation while H3 acetylation and Nap1 tune the fluidity and accessibility of condensed chromatin
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Roles of histone chaperone Nap1 and histone acetylation in regulating phase-separation of nucleosome arrays
 First author:Gao J
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65701-3
 Reference:Gao J, Li H, Tan S, Zhou R & Lee T-H. Roles of histone chaperone Nap1 and histone acetylation in regulating phase-separation of nucleosome arrays. Nature Communications. 2025;16:10672. https://doi.org/10.1038/s41467-025-65701-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nap1-histone-acetylation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited sections cover the core biophysical mechanisms and measurements: LLPS initiation by H4 tail, effects of H4KQ and H3KQ on droplet formation and dynamics, Nap1’s dual role, FRAP, STORM, microrheology with two relaxation components, and H2A–H2B exchange context.- transcript topics: LLPS of nucleosome arrays driven by H4 tail lysines; H4KQ acetylation mimic blocks droplet formation; H3 tail acetylation mimic (H3KQ) increases dynamics but does not block LLPS; Nap1 dissolves aggregates and increases nucleosome concentration inside condensates; STORM reveals mobile fraction and immobile scaffold inside droplets; Microrheology with optical traps identifying two relaxation components
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- H4 tail lysine residues drive LLPS of nucleosome arrays- H4KQ acetylation mimic blocks droplet formation- H3KQ acetylation mimic increases dynamic...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[253: Nap1 and histone acetylation tune chromatin condensates]]>
                </itunes:title>
                                    <itunes:episode>253</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Gao J et al., Nature Communications - H4 tail lysine residues drive liquid-liquid phase separation of 12‑mer nucleosome arrays, while H3 tail acetylation and the histone chaperone Nap1 increase internal dynamics and lower droplet viscosity. Key terms: Nap1, H3 acetylation, H4 acetylation, liquid-liquid phase separation, nucleosome arrays.</p>
<p> Study Highlights:<br />H4 tail lysine residues are the primary drivers of nucleosome array phase separation, and H4-tail acetylation prevents droplet formation. H3 tail acetylation mimic (H3KQ) and in situ H3 acetylation speed fluorescence recovery, indicating enhanced DNA–histone dynamics. Nap1 dissolves gel-like aggregates formed by tailless H3 arrays, increases nucleosome concentration inside droplets from ~326 µM to ~491 µM, and accelerates internal dynamics. STORM imaging reveals condensed droplets contain both a mobile fraction and a relatively immobile structural scaffold. Optical-tweezers microrheology identifies two relaxation components and shows Nap1 and H3KQ specifically lower the relaxation time and viscosity of the slower scaffold-associated component</p>
<p> Conclusion:<br />Histone H4 tail lysines govern chromatin phase separation while H3 acetylation and Nap1 tune the fluidity and accessibility of condensed chromatin</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Roles of histone chaperone Nap1 and histone acetylation in regulating phase-separation of nucleosome arrays</p>
<p> First author:<br />Gao J</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65701-3</p>
<p> Reference:<br />Gao J, Li H, Tan S, Zhou R &amp; Lee T-H. Roles of histone chaperone Nap1 and histone acetylation in regulating phase-separation of nucleosome arrays. Nature Communications. 2025;16:10672. https://doi.org/10.1038/s41467-025-65701-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nap1-histone-acetylation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited sections cover the core biophysical mechanisms and measurements: LLPS initiation by H4 tail, effects of H4KQ and H3KQ on droplet formation and dynamics, Nap1’s dual role, FRAP, STORM, microrheology with two relaxation components, and H2A–H2B exchange context.<br />- transcript topics: LLPS of nucleosome arrays driven by H4 tail lysines; H4KQ acetylation mimic blocks droplet formation; H3 tail acetylation mimic (H3KQ) increases dynamics but does not block LLPS; Nap1 dissolves aggregates and increases nucleosome concentration inside condensates; STORM reveals mobile fraction and immobile scaffold inside droplets; Microrheology with optical traps identifying two relaxation components</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- H4 tail lysine residues drive LLPS of nucleosome arrays<br />- H4KQ acetylation mimic blocks droplet formation<br />- H3KQ acetylation mimic increases dynamics but does not block condensation<br />- Nap1 dissolves chromatin aggregates and increases nucleosome concentration inside condensates<br />- Condensates contain a mobile fraction and a relatively immobile structural scaffold<br />- Nap1 and H3KQ reduce the slower component's viscosity and shorten its relaxation time</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Gao J et al., Nature Communications - H4 tail lysine residues drive liquid-liquid phase separation of 12‑mer nucleosome arrays, while H3 tail acetylation and the histone chaperone Nap1 increase internal dynamics and lower droplet viscosity. Key terms: Nap1, H3 acetylation, H4 acetylation, liquid-liquid phase separation, nucleosome arrays.
 Study Highlights:H4 tail lysine residues are the primary drivers of nucleosome array phase separation, and H4-tail acetylation prevents droplet formation. H3 tail acetylation mimic (H3KQ) and in situ H3 acetylation speed fluorescence recovery, indicating enhanced DNA–histone dynamics. Nap1 dissolves gel-like aggregates formed by tailless H3 arrays, increases nucleosome concentration inside droplets from ~326 µM to ~491 µM, and accelerates internal dynamics. STORM imaging reveals condensed droplets contain both a mobile fraction and a relatively immobile structural scaffold. Optical-tweezers microrheology identifies two relaxation components and shows Nap1 and H3KQ specifically lower the relaxation time and viscosity of the slower scaffold-associated component
 Conclusion:Histone H4 tail lysines govern chromatin phase separation while H3 acetylation and Nap1 tune the fluidity and accessibility of condensed chromatin
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Roles of histone chaperone Nap1 and histone acetylation in regulating phase-separation of nucleosome arrays
 First author:Gao J
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65701-3
 Reference:Gao J, Li H, Tan S, Zhou R & Lee T-H. Roles of histone chaperone Nap1 and histone acetylation in regulating phase-separation of nucleosome arrays. Nature Communications. 2025;16:10672. https://doi.org/10.1038/s41467-025-65701-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nap1-histone-acetylation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited sections cover the core biophysical mechanisms and measurements: LLPS initiation by H4 tail, effects of H4KQ and H3KQ on droplet formation and dynamics, Nap1’s dual role, FRAP, STORM, microrheology with two relaxation components, and H2A–H2B exchange context.- transcript topics: LLPS of nucleosome arrays driven by H4 tail lysines; H4KQ acetylation mimic blocks droplet formation; H3 tail acetylation mimic (H3KQ) increases dynamics but does not block LLPS; Nap1 dissolves aggregates and increases nucleosome concentration inside condensates; STORM reveals mobile fraction and immobile scaffold inside droplets; Microrheology with optical traps identifying two relaxation components
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- H4 tail lysine residues drive LLPS of nucleosome arrays- H4KQ acetylation mimic blocks droplet formation- H3KQ acetylation mimic increases dynamic...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2317630/c1a-p6xp7-v6vzggpgunx2-l0idvu.png"></itunes:image>
                                                                            <itunes:duration>00:20:26</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[252: Keratinocytes to cSCC: genetic steps]]>
                </title>
                <pubDate>Wed, 07 Jan 2026 05:42:21 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2316872</guid>
                                    <link>https://basebybase.castos.com/episodes/keratinocytes-to-cscc-evolution</link>
                                <description>
                                            <![CDATA[<p>Deivendran D et al., Nature Communications, doi:10.1038/s41467-025-65687-y - Single-cell and spatial multi-omic profiling maps the genetic and transcriptional changes from normal keratinocytes through actinic keratoses to invasive cutaneous squamous cell carcinoma. Key terms: keratinocytes, actinic keratosis, TP53, ARID2, spatial transcriptomics.</p>
<p> Study Highlights:<br />Single-cell genotyping of 137 keratinocytes revealed most cells have low mutation burdens (median 1.14 mut/Mb) while keratinocytes with TP53 or NOTCH1 mutations carry substantially higher burdens. Deep panel sequencing of 16 paired actinic keratoses and adjacent cSCCs showed TERT promoter and CDKN2A mutations arise in actinic keratoses and additional events such as ARID2 loss and MAPK pathway activation delineate progression to cSCC. Many actinic keratoses were genetically unrelated to their neighboring cSCCs, indicating independent clonal origins despite spatial proximity. Spatial transcriptomics exposed intratumoral heterogeneity and enrichment of immune checkpoint molecules at invasive fronts, implicating localized immune modulation.</p>
<p> Conclusion:<br />Keratinocyte transformation to cSCC follows a stereotyped sequence where TP53/NOTCH1-associated mutator phenotypes prime cells for acquisition of telomerase activation and cell-cycle defects in precursors, with SWI/SNF disruption and MAPK activation driving invasion alongside spatial immune evasion.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genetic evolution of keratinocytes to cutaneous squamous cell carcinoma</p>
<p> First author:<br />Deivendran D</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65687-y</p>
<p> DOI:<br />10.1038/s41467-025-65687-y</p>
<p> Reference:<br />Deivendran D, Chen L, Tandukar B, Bandari AK, Cruz-Pacheco N, Sharma H, Wang M, Xu A, Chen DB, George CD, Marty AL, Cho RJ, Cheng JB, Saylor D, Gerami P, Yeh I, Arron ST, Bastian BC, Shain AH. Genetic evolution of keratinocytes to cutaneous squamous cell carcinoma. Nature Communications. 2025;16:10663. https://doi.org/10.1038/s41467-025-65687-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/keratinocytes-to-cscc-evolution</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for keratinocyte mutational landscape, mutator phenotype, clonal architecture, AK adjacency to cSCC, SWI/SNF (ARID2) disruption, MAPK activation, spatial transcriptomics, immune evasion, and translational implications.<br />- transcript topics: Keratinocyte mutation burden in normal skin; Mutator phenotype driven by TP53/NOTCH1 mutations; Single-cell clonality and deep sequencing depth; Actinic keratosis to squamous cell carcinoma progression; ARID2 SWI/SNF disruption and MAPK pathway in invasion; Spatial transcriptomics and intratumoral heterogeneity</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Kera...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Deivendran D et al., Nature Communications, doi:10.1038/s41467-025-65687-y - Single-cell and spatial multi-omic profiling maps the genetic and transcriptional changes from normal keratinocytes through actinic keratoses to invasive cutaneous squamous cell carcinoma. Key terms: keratinocytes, actinic keratosis, TP53, ARID2, spatial transcriptomics.
 Study Highlights:Single-cell genotyping of 137 keratinocytes revealed most cells have low mutation burdens (median 1.14 mut/Mb) while keratinocytes with TP53 or NOTCH1 mutations carry substantially higher burdens. Deep panel sequencing of 16 paired actinic keratoses and adjacent cSCCs showed TERT promoter and CDKN2A mutations arise in actinic keratoses and additional events such as ARID2 loss and MAPK pathway activation delineate progression to cSCC. Many actinic keratoses were genetically unrelated to their neighboring cSCCs, indicating independent clonal origins despite spatial proximity. Spatial transcriptomics exposed intratumoral heterogeneity and enrichment of immune checkpoint molecules at invasive fronts, implicating localized immune modulation.
 Conclusion:Keratinocyte transformation to cSCC follows a stereotyped sequence where TP53/NOTCH1-associated mutator phenotypes prime cells for acquisition of telomerase activation and cell-cycle defects in precursors, with SWI/SNF disruption and MAPK activation driving invasion alongside spatial immune evasion.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genetic evolution of keratinocytes to cutaneous squamous cell carcinoma
 First author:Deivendran D
 Journal:Nature Communications, doi:10.1038/s41467-025-65687-y
 DOI:10.1038/s41467-025-65687-y
 Reference:Deivendran D, Chen L, Tandukar B, Bandari AK, Cruz-Pacheco N, Sharma H, Wang M, Xu A, Chen DB, George CD, Marty AL, Cho RJ, Cheng JB, Saylor D, Gerami P, Yeh I, Arron ST, Bastian BC, Shain AH. Genetic evolution of keratinocytes to cutaneous squamous cell carcinoma. Nature Communications. 2025;16:10663. https://doi.org/10.1038/s41467-025-65687-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/keratinocytes-to-cscc-evolution
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for keratinocyte mutational landscape, mutator phenotype, clonal architecture, AK adjacency to cSCC, SWI/SNF (ARID2) disruption, MAPK activation, spatial transcriptomics, immune evasion, and translational implications.- transcript topics: Keratinocyte mutation burden in normal skin; Mutator phenotype driven by TP53/NOTCH1 mutations; Single-cell clonality and deep sequencing depth; Actinic keratosis to squamous cell carcinoma progression; ARID2 SWI/SNF disruption and MAPK pathway in invasion; Spatial transcriptomics and intratumoral heterogeneity
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Kera...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[252: Keratinocytes to cSCC: genetic steps]]>
                </itunes:title>
                                    <itunes:episode>252</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Deivendran D et al., Nature Communications, doi:10.1038/s41467-025-65687-y - Single-cell and spatial multi-omic profiling maps the genetic and transcriptional changes from normal keratinocytes through actinic keratoses to invasive cutaneous squamous cell carcinoma. Key terms: keratinocytes, actinic keratosis, TP53, ARID2, spatial transcriptomics.</p>
<p> Study Highlights:<br />Single-cell genotyping of 137 keratinocytes revealed most cells have low mutation burdens (median 1.14 mut/Mb) while keratinocytes with TP53 or NOTCH1 mutations carry substantially higher burdens. Deep panel sequencing of 16 paired actinic keratoses and adjacent cSCCs showed TERT promoter and CDKN2A mutations arise in actinic keratoses and additional events such as ARID2 loss and MAPK pathway activation delineate progression to cSCC. Many actinic keratoses were genetically unrelated to their neighboring cSCCs, indicating independent clonal origins despite spatial proximity. Spatial transcriptomics exposed intratumoral heterogeneity and enrichment of immune checkpoint molecules at invasive fronts, implicating localized immune modulation.</p>
<p> Conclusion:<br />Keratinocyte transformation to cSCC follows a stereotyped sequence where TP53/NOTCH1-associated mutator phenotypes prime cells for acquisition of telomerase activation and cell-cycle defects in precursors, with SWI/SNF disruption and MAPK activation driving invasion alongside spatial immune evasion.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genetic evolution of keratinocytes to cutaneous squamous cell carcinoma</p>
<p> First author:<br />Deivendran D</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65687-y</p>
<p> DOI:<br />10.1038/s41467-025-65687-y</p>
<p> Reference:<br />Deivendran D, Chen L, Tandukar B, Bandari AK, Cruz-Pacheco N, Sharma H, Wang M, Xu A, Chen DB, George CD, Marty AL, Cho RJ, Cheng JB, Saylor D, Gerami P, Yeh I, Arron ST, Bastian BC, Shain AH. Genetic evolution of keratinocytes to cutaneous squamous cell carcinoma. Nature Communications. 2025;16:10663. https://doi.org/10.1038/s41467-025-65687-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/keratinocytes-to-cscc-evolution</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for keratinocyte mutational landscape, mutator phenotype, clonal architecture, AK adjacency to cSCC, SWI/SNF (ARID2) disruption, MAPK activation, spatial transcriptomics, immune evasion, and translational implications.<br />- transcript topics: Keratinocyte mutation burden in normal skin; Mutator phenotype driven by TP53/NOTCH1 mutations; Single-cell clonality and deep sequencing depth; Actinic keratosis to squamous cell carcinoma progression; ARID2 SWI/SNF disruption and MAPK pathway in invasion; Spatial transcriptomics and intratumoral heterogeneity</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Keratinocytes in normal skin have a low mutation burden (median around 1 mut/Mb)<br />- Keratinocytes with TP53 or NOTCH1 mutations show substantially higher mutation burdens (up to ~49.71 mut/Mb)<br />- Clonal expansion yielded colonies of about 200 cells for sequencing<br />- Actinic keratoses adjacent to cSCCs are not always clonally related to the neighboring cSCC</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2316872/c1e-m6jzvcqr7ddcovo5q-9jwdd9wpbvw4-9tdjtx.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2316872&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fkeratinocytes-to-cscc-evolution&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=c5809ec7733f1ae5ffdb252f90dc55016262031ca134c1e654f88ebfcedc5615" length="26359533"
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                                <itunes:summary>
                    <![CDATA[Deivendran D et al., Nature Communications, doi:10.1038/s41467-025-65687-y - Single-cell and spatial multi-omic profiling maps the genetic and transcriptional changes from normal keratinocytes through actinic keratoses to invasive cutaneous squamous cell carcinoma. Key terms: keratinocytes, actinic keratosis, TP53, ARID2, spatial transcriptomics.
 Study Highlights:Single-cell genotyping of 137 keratinocytes revealed most cells have low mutation burdens (median 1.14 mut/Mb) while keratinocytes with TP53 or NOTCH1 mutations carry substantially higher burdens. Deep panel sequencing of 16 paired actinic keratoses and adjacent cSCCs showed TERT promoter and CDKN2A mutations arise in actinic keratoses and additional events such as ARID2 loss and MAPK pathway activation delineate progression to cSCC. Many actinic keratoses were genetically unrelated to their neighboring cSCCs, indicating independent clonal origins despite spatial proximity. Spatial transcriptomics exposed intratumoral heterogeneity and enrichment of immune checkpoint molecules at invasive fronts, implicating localized immune modulation.
 Conclusion:Keratinocyte transformation to cSCC follows a stereotyped sequence where TP53/NOTCH1-associated mutator phenotypes prime cells for acquisition of telomerase activation and cell-cycle defects in precursors, with SWI/SNF disruption and MAPK activation driving invasion alongside spatial immune evasion.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genetic evolution of keratinocytes to cutaneous squamous cell carcinoma
 First author:Deivendran D
 Journal:Nature Communications, doi:10.1038/s41467-025-65687-y
 DOI:10.1038/s41467-025-65687-y
 Reference:Deivendran D, Chen L, Tandukar B, Bandari AK, Cruz-Pacheco N, Sharma H, Wang M, Xu A, Chen DB, George CD, Marty AL, Cho RJ, Cheng JB, Saylor D, Gerami P, Yeh I, Arron ST, Bastian BC, Shain AH. Genetic evolution of keratinocytes to cutaneous squamous cell carcinoma. Nature Communications. 2025;16:10663. https://doi.org/10.1038/s41467-025-65687-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/keratinocytes-to-cscc-evolution
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for keratinocyte mutational landscape, mutator phenotype, clonal architecture, AK adjacency to cSCC, SWI/SNF (ARID2) disruption, MAPK activation, spatial transcriptomics, immune evasion, and translational implications.- transcript topics: Keratinocyte mutation burden in normal skin; Mutator phenotype driven by TP53/NOTCH1 mutations; Single-cell clonality and deep sequencing depth; Actinic keratosis to squamous cell carcinoma progression; ARID2 SWI/SNF disruption and MAPK pathway in invasion; Spatial transcriptomics and intratumoral heterogeneity
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Kera...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2316872/c1a-p6xp7-6z8w22qrfj19-xjng5e.png"></itunes:image>
                                                                            <itunes:duration>00:18:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[251: MuSCs, laminin-α2 and LAMA2 MD]]>
                </title>
                <pubDate>Tue, 06 Jan 2026 22:33:15 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2316685</guid>
                                    <link>https://basebybase.castos.com/episodes/muscle-stem-laminin-alpha2</link>
                                <description>
                                            <![CDATA[<p>McGowan TJ et al., Nature Communications, doi:10.1038/s41467-025-65703-1 - Activated muscle stem cells express and secrete laminin-α2 to remodel their niche, and loss of MuSC-derived laminin-α2 slows MuSC proliferation and delays regeneration in mouse models and human iPSC-derived precursors. Key terms: laminin-α2, muscle stem cells, LAMA2 MD, regeneration, proliferation.</p>
<p> Study Highlights:<br />Activated MuSCs upregulate Lama2 and deposit laminin-α2 around proliferating cells during early regeneration. MuSCs from Lama2-deficient dyW/dyW mice progress more slowly through S phase, accumulate in G1, and show reduced expansion ex vivo and in vivo. Transplantation of dyW/dyW MuSCs into wild-type muscle does not restore their proliferative capacity, indicating a cell-intrinsic defect. A MuSC-specific Lama2 knockout recapitulates the slower proliferation and reduces early injury-associated laminin-α2, delaying muscle repair. Isogenic human LAMA2 knockout myogenic precursors also incorporate less EdU and show transcriptional changes consistent with impaired cell-cycle progression.</p>
<p> Conclusion:<br />Self-secreted laminin-α2 is required cell-autonomously for efficient MuSC proliferation and timely muscle regeneration, implicating MuSC dysfunction as a contributor to LAMA2-related muscular dystrophy pathology</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Loss of cell-autonomously secreted laminin-Î±2 drives muscle stem cell dysfunction in LAMA2-related muscular dystrophy</p>
<p> First author:<br />McGowan TJ</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65703-1</p>
<p> DOI:<br />10.1038/s41467-025-65703-1</p>
<p> Reference:<br />McGowan TJ, Reinhard JR, Lewerenz N, Białobrzeska M, Lin S, Stępniewski J, Szade K, Dulak J &amp; Rüegg MA. Loss of cell-autonomously secreted laminin-Î±2 drives muscle stem cell dysfunction in LAMA2-related muscular dystrophy. Nature Communications (2025) 16:10674. https://doi.org/10.1038/s41467-025-65703-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/muscle-stem-laminin-alpha2</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the transcript’s coverage of: MuSC expression/secreted laminin-α2; intrinsic MuSC proliferation defects in dyW/dyW mice; transplantation results; MuSC-specific Lama2 knockout; human LAMA2 KO hiPSC model; and downstream signaling/cell-cycle implications.<br />- transcript topics: MuSC activation and Lama2 expression; MuSC secretion and remodeling with laminin-α2; dyW/dyW mouse model: regeneration defects and MuSC proliferation; ex vivo MuSC proliferation assays (EdU, cell cycle); MuSC transplantation experiments and intrinsic vs extrinsic defect; MuSC-specific Lama2 knockout effects on proliferation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Activated MuSCs express Lama2 and deposit laminin-α2 into their microenviron...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[McGowan TJ et al., Nature Communications, doi:10.1038/s41467-025-65703-1 - Activated muscle stem cells express and secrete laminin-α2 to remodel their niche, and loss of MuSC-derived laminin-α2 slows MuSC proliferation and delays regeneration in mouse models and human iPSC-derived precursors. Key terms: laminin-α2, muscle stem cells, LAMA2 MD, regeneration, proliferation.
 Study Highlights:Activated MuSCs upregulate Lama2 and deposit laminin-α2 around proliferating cells during early regeneration. MuSCs from Lama2-deficient dyW/dyW mice progress more slowly through S phase, accumulate in G1, and show reduced expansion ex vivo and in vivo. Transplantation of dyW/dyW MuSCs into wild-type muscle does not restore their proliferative capacity, indicating a cell-intrinsic defect. A MuSC-specific Lama2 knockout recapitulates the slower proliferation and reduces early injury-associated laminin-α2, delaying muscle repair. Isogenic human LAMA2 knockout myogenic precursors also incorporate less EdU and show transcriptional changes consistent with impaired cell-cycle progression.
 Conclusion:Self-secreted laminin-α2 is required cell-autonomously for efficient MuSC proliferation and timely muscle regeneration, implicating MuSC dysfunction as a contributor to LAMA2-related muscular dystrophy pathology
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Loss of cell-autonomously secreted laminin-Î±2 drives muscle stem cell dysfunction in LAMA2-related muscular dystrophy
 First author:McGowan TJ
 Journal:Nature Communications, doi:10.1038/s41467-025-65703-1
 DOI:10.1038/s41467-025-65703-1
 Reference:McGowan TJ, Reinhard JR, Lewerenz N, Białobrzeska M, Lin S, Stępniewski J, Szade K, Dulak J & Rüegg MA. Loss of cell-autonomously secreted laminin-Î±2 drives muscle stem cell dysfunction in LAMA2-related muscular dystrophy. Nature Communications (2025) 16:10674. https://doi.org/10.1038/s41467-025-65703-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/muscle-stem-laminin-alpha2
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the transcript’s coverage of: MuSC expression/secreted laminin-α2; intrinsic MuSC proliferation defects in dyW/dyW mice; transplantation results; MuSC-specific Lama2 knockout; human LAMA2 KO hiPSC model; and downstream signaling/cell-cycle implications.- transcript topics: MuSC activation and Lama2 expression; MuSC secretion and remodeling with laminin-α2; dyW/dyW mouse model: regeneration defects and MuSC proliferation; ex vivo MuSC proliferation assays (EdU, cell cycle); MuSC transplantation experiments and intrinsic vs extrinsic defect; MuSC-specific Lama2 knockout effects on proliferation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Activated MuSCs express Lama2 and deposit laminin-α2 into their microenviron...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[251: MuSCs, laminin-α2 and LAMA2 MD]]>
                </itunes:title>
                                    <itunes:episode>251</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>McGowan TJ et al., Nature Communications, doi:10.1038/s41467-025-65703-1 - Activated muscle stem cells express and secrete laminin-α2 to remodel their niche, and loss of MuSC-derived laminin-α2 slows MuSC proliferation and delays regeneration in mouse models and human iPSC-derived precursors. Key terms: laminin-α2, muscle stem cells, LAMA2 MD, regeneration, proliferation.</p>
<p> Study Highlights:<br />Activated MuSCs upregulate Lama2 and deposit laminin-α2 around proliferating cells during early regeneration. MuSCs from Lama2-deficient dyW/dyW mice progress more slowly through S phase, accumulate in G1, and show reduced expansion ex vivo and in vivo. Transplantation of dyW/dyW MuSCs into wild-type muscle does not restore their proliferative capacity, indicating a cell-intrinsic defect. A MuSC-specific Lama2 knockout recapitulates the slower proliferation and reduces early injury-associated laminin-α2, delaying muscle repair. Isogenic human LAMA2 knockout myogenic precursors also incorporate less EdU and show transcriptional changes consistent with impaired cell-cycle progression.</p>
<p> Conclusion:<br />Self-secreted laminin-α2 is required cell-autonomously for efficient MuSC proliferation and timely muscle regeneration, implicating MuSC dysfunction as a contributor to LAMA2-related muscular dystrophy pathology</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Loss of cell-autonomously secreted laminin-Î±2 drives muscle stem cell dysfunction in LAMA2-related muscular dystrophy</p>
<p> First author:<br />McGowan TJ</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65703-1</p>
<p> DOI:<br />10.1038/s41467-025-65703-1</p>
<p> Reference:<br />McGowan TJ, Reinhard JR, Lewerenz N, Białobrzeska M, Lin S, Stępniewski J, Szade K, Dulak J &amp; Rüegg MA. Loss of cell-autonomously secreted laminin-Î±2 drives muscle stem cell dysfunction in LAMA2-related muscular dystrophy. Nature Communications (2025) 16:10674. https://doi.org/10.1038/s41467-025-65703-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/muscle-stem-laminin-alpha2</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the transcript’s coverage of: MuSC expression/secreted laminin-α2; intrinsic MuSC proliferation defects in dyW/dyW mice; transplantation results; MuSC-specific Lama2 knockout; human LAMA2 KO hiPSC model; and downstream signaling/cell-cycle implications.<br />- transcript topics: MuSC activation and Lama2 expression; MuSC secretion and remodeling with laminin-α2; dyW/dyW mouse model: regeneration defects and MuSC proliferation; ex vivo MuSC proliferation assays (EdU, cell cycle); MuSC transplantation experiments and intrinsic vs extrinsic defect; MuSC-specific Lama2 knockout effects on proliferation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Activated MuSCs express Lama2 and deposit laminin-α2 into their microenvironment<br />- MuSC-derived laminin-α2 is essential for rapid MuSC expansion and timely muscle regeneration<br />- Lama2-deficient MuSCs proliferate more slowly ex vivo and show delayed regeneration in dyW/dyW mice<br />- Transplantation of Lama2-deficient MuSCs shows reduced tissue remodeling capacity in vivo<br />- MuSC-specific Lama2 knockout slows MuSC proliferation and delays regeneration<br />- LAMA2 knockout in human hiPSCs slows cell-cycle progression and downregulates G2/M and E2F-related pathways (p53 pathway up)</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2316685/c1e-4jx6ni1p29db909jp-gp5xq79ja0g0-pqjwnc.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2316685&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fmuscle-stem-laminin-alpha2&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=4a6a8577beeea2eed4fce46a27ad53543e0a7bcffb754cf4557c2c1d5decde12" length="27485613"
                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[McGowan TJ et al., Nature Communications, doi:10.1038/s41467-025-65703-1 - Activated muscle stem cells express and secrete laminin-α2 to remodel their niche, and loss of MuSC-derived laminin-α2 slows MuSC proliferation and delays regeneration in mouse models and human iPSC-derived precursors. Key terms: laminin-α2, muscle stem cells, LAMA2 MD, regeneration, proliferation.
 Study Highlights:Activated MuSCs upregulate Lama2 and deposit laminin-α2 around proliferating cells during early regeneration. MuSCs from Lama2-deficient dyW/dyW mice progress more slowly through S phase, accumulate in G1, and show reduced expansion ex vivo and in vivo. Transplantation of dyW/dyW MuSCs into wild-type muscle does not restore their proliferative capacity, indicating a cell-intrinsic defect. A MuSC-specific Lama2 knockout recapitulates the slower proliferation and reduces early injury-associated laminin-α2, delaying muscle repair. Isogenic human LAMA2 knockout myogenic precursors also incorporate less EdU and show transcriptional changes consistent with impaired cell-cycle progression.
 Conclusion:Self-secreted laminin-α2 is required cell-autonomously for efficient MuSC proliferation and timely muscle regeneration, implicating MuSC dysfunction as a contributor to LAMA2-related muscular dystrophy pathology
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Loss of cell-autonomously secreted laminin-Î±2 drives muscle stem cell dysfunction in LAMA2-related muscular dystrophy
 First author:McGowan TJ
 Journal:Nature Communications, doi:10.1038/s41467-025-65703-1
 DOI:10.1038/s41467-025-65703-1
 Reference:McGowan TJ, Reinhard JR, Lewerenz N, Białobrzeska M, Lin S, Stępniewski J, Szade K, Dulak J & Rüegg MA. Loss of cell-autonomously secreted laminin-Î±2 drives muscle stem cell dysfunction in LAMA2-related muscular dystrophy. Nature Communications (2025) 16:10674. https://doi.org/10.1038/s41467-025-65703-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/muscle-stem-laminin-alpha2
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the transcript’s coverage of: MuSC expression/secreted laminin-α2; intrinsic MuSC proliferation defects in dyW/dyW mice; transplantation results; MuSC-specific Lama2 knockout; human LAMA2 KO hiPSC model; and downstream signaling/cell-cycle implications.- transcript topics: MuSC activation and Lama2 expression; MuSC secretion and remodeling with laminin-α2; dyW/dyW mouse model: regeneration defects and MuSC proliferation; ex vivo MuSC proliferation assays (EdU, cell cycle); MuSC transplantation experiments and intrinsic vs extrinsic defect; MuSC-specific Lama2 knockout effects on proliferation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Activated MuSCs express Lama2 and deposit laminin-α2 into their microenviron...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2316685/c1a-p6xp7-5zqk77dqaz5m-lflzbc.png"></itunes:image>
                                                                            <itunes:duration>00:19:00</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[250: CIP2A–TOPBP1: Mitotic repair via MiDAS and MMEJ]]>
                </title>
                <pubDate>Mon, 05 Jan 2026 05:21:56 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2313342</guid>
                                    <link>https://basebybase.castos.com/episodes/cip2a-topbp1-mitotic-repair</link>
                                <description>
                                            <![CDATA[<p>Nieminuszczy J et al., Nature Communications, doi:10.1038/s41467-025-65594-2 - This study shows the CIP2A-TOPBP1 complex coordinates two mitotic double-strand break repair pathways, MiDAS and MMEJ, by recruiting SLX4/SMX components and Polθ to mitotic chromatin. Key terms: CIP2A, TOPBP1, SLX4, MiDAS, MMEJ.</p>
<p> Study Highlights:<br />TOPBP1 BRCT1/2 binds SLX4 phosphorylated at Thr1260, a CDK1-dependent modification that promotes recruitment of SLX4, MUS81 and ERCC1 to mitotic chromatin to drive MiDAS. CIP2A is required for mitotic chromatin localisation of both TOPBP1 and Polθ, enabling Polθ-dependent MMEJ. Loss of CIP2A impairs both MiDAS and MMEJ, increasing micronuclei, γH2AX and 53BP1 and reducing proliferation under replication stress. Pharmacological Polθ inhibition combined with disruption of the TOPBP1–SLX4 interaction further elevates genome instability and selectively limits growth of BRCA1/2-deficient cells.</p>
<p> Conclusion:<br />The CIP2A-TOPBP1 axis is a central mitotic DNA repair hub that integrates CDK1-dependent phosphorylation and Polθ recruitment to safeguard genome stability and represents a therapeutic vulnerability in HR-deficient tumors.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The CIP2A-TOPBP1 axis facilitates mitotic DNA repair via MiDAS and MMEJ</p>
<p> First author:<br />Nieminuszczy J</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65594-2</p>
<p> DOI:<br />10.1038/s41467-025-65594-2</p>
<p> Reference:<br />Nieminuszczy J, Kozik Z, Jakub N, Vorhauser J, Lane KA, Martin PR, Kowalski S, Lecot M, Kanellou A, Mansfeld J, Pearl LH, Oliver AW, Downs JA, Niedzwiedz W, Choudhary JS, Day M, et al. The CIP2A-TOPBP1 axis facilitates mitotic DNA repair via MiDAS and MMEJ. Nature Communications. 2025;16:10623. https://doi.org/10.1038/s41467-025-65594-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cip2a-topbp1-mitotic-repair</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing the CIP2A-TOPBP1 axis, MiDAS and MMEJ pathways, the SLX4 Thr1260 phosphorylation by CDK1, TOPBP1-SMX interactions, CIP2A’s regulation of Polθ and SMX components, and the BRCA1/2-deficient synthetic lethal context, plus experimental approaches referenced (co-IP/MS, CRISPR knock<br />- transcript topics: CIP2A-TOPBP1 axis as a mitotic DNA repair hub; MiDAS and SMX complex recruitment to mitotic chromatin; MMEJ and Polθ dependence in mitosis; CDK1-dependent phosphorylation of SLX4 Thr1260 and TOPBP1 interaction; TOPBP1 BRCT1/2-mediated SMX recruitment and AlphaFold modelling; CIP2A upstream regulation of SLX4 and Polθ localization</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CIP2A-TOPBP1 axis coordinates mitotic DNA repair by promoting MiDAS and MMEJ<br />- CDK1-dependent phosphorylation of SLX4 at Thr1260 enables TOPBP1 BRCT1/2 interaction and SMX recruitment...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nieminuszczy J et al., Nature Communications, doi:10.1038/s41467-025-65594-2 - This study shows the CIP2A-TOPBP1 complex coordinates two mitotic double-strand break repair pathways, MiDAS and MMEJ, by recruiting SLX4/SMX components and Polθ to mitotic chromatin. Key terms: CIP2A, TOPBP1, SLX4, MiDAS, MMEJ.
 Study Highlights:TOPBP1 BRCT1/2 binds SLX4 phosphorylated at Thr1260, a CDK1-dependent modification that promotes recruitment of SLX4, MUS81 and ERCC1 to mitotic chromatin to drive MiDAS. CIP2A is required for mitotic chromatin localisation of both TOPBP1 and Polθ, enabling Polθ-dependent MMEJ. Loss of CIP2A impairs both MiDAS and MMEJ, increasing micronuclei, γH2AX and 53BP1 and reducing proliferation under replication stress. Pharmacological Polθ inhibition combined with disruption of the TOPBP1–SLX4 interaction further elevates genome instability and selectively limits growth of BRCA1/2-deficient cells.
 Conclusion:The CIP2A-TOPBP1 axis is a central mitotic DNA repair hub that integrates CDK1-dependent phosphorylation and Polθ recruitment to safeguard genome stability and represents a therapeutic vulnerability in HR-deficient tumors.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The CIP2A-TOPBP1 axis facilitates mitotic DNA repair via MiDAS and MMEJ
 First author:Nieminuszczy J
 Journal:Nature Communications, doi:10.1038/s41467-025-65594-2
 DOI:10.1038/s41467-025-65594-2
 Reference:Nieminuszczy J, Kozik Z, Jakub N, Vorhauser J, Lane KA, Martin PR, Kowalski S, Lecot M, Kanellou A, Mansfeld J, Pearl LH, Oliver AW, Downs JA, Niedzwiedz W, Choudhary JS, Day M, et al. The CIP2A-TOPBP1 axis facilitates mitotic DNA repair via MiDAS and MMEJ. Nature Communications. 2025;16:10623. https://doi.org/10.1038/s41467-025-65594-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cip2a-topbp1-mitotic-repair
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing the CIP2A-TOPBP1 axis, MiDAS and MMEJ pathways, the SLX4 Thr1260 phosphorylation by CDK1, TOPBP1-SMX interactions, CIP2A’s regulation of Polθ and SMX components, and the BRCA1/2-deficient synthetic lethal context, plus experimental approaches referenced (co-IP/MS, CRISPR knock- transcript topics: CIP2A-TOPBP1 axis as a mitotic DNA repair hub; MiDAS and SMX complex recruitment to mitotic chromatin; MMEJ and Polθ dependence in mitosis; CDK1-dependent phosphorylation of SLX4 Thr1260 and TOPBP1 interaction; TOPBP1 BRCT1/2-mediated SMX recruitment and AlphaFold modelling; CIP2A upstream regulation of SLX4 and Polθ localization
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CIP2A-TOPBP1 axis coordinates mitotic DNA repair by promoting MiDAS and MMEJ- CDK1-dependent phosphorylation of SLX4 at Thr1260 enables TOPBP1 BRCT1/2 interaction and SMX recruitment...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[250: CIP2A–TOPBP1: Mitotic repair via MiDAS and MMEJ]]>
                </itunes:title>
                                    <itunes:episode>250</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nieminuszczy J et al., Nature Communications, doi:10.1038/s41467-025-65594-2 - This study shows the CIP2A-TOPBP1 complex coordinates two mitotic double-strand break repair pathways, MiDAS and MMEJ, by recruiting SLX4/SMX components and Polθ to mitotic chromatin. Key terms: CIP2A, TOPBP1, SLX4, MiDAS, MMEJ.</p>
<p> Study Highlights:<br />TOPBP1 BRCT1/2 binds SLX4 phosphorylated at Thr1260, a CDK1-dependent modification that promotes recruitment of SLX4, MUS81 and ERCC1 to mitotic chromatin to drive MiDAS. CIP2A is required for mitotic chromatin localisation of both TOPBP1 and Polθ, enabling Polθ-dependent MMEJ. Loss of CIP2A impairs both MiDAS and MMEJ, increasing micronuclei, γH2AX and 53BP1 and reducing proliferation under replication stress. Pharmacological Polθ inhibition combined with disruption of the TOPBP1–SLX4 interaction further elevates genome instability and selectively limits growth of BRCA1/2-deficient cells.</p>
<p> Conclusion:<br />The CIP2A-TOPBP1 axis is a central mitotic DNA repair hub that integrates CDK1-dependent phosphorylation and Polθ recruitment to safeguard genome stability and represents a therapeutic vulnerability in HR-deficient tumors.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The CIP2A-TOPBP1 axis facilitates mitotic DNA repair via MiDAS and MMEJ</p>
<p> First author:<br />Nieminuszczy J</p>
<p> Journal:<br />Nature Communications, doi:10.1038/s41467-025-65594-2</p>
<p> DOI:<br />10.1038/s41467-025-65594-2</p>
<p> Reference:<br />Nieminuszczy J, Kozik Z, Jakub N, Vorhauser J, Lane KA, Martin PR, Kowalski S, Lecot M, Kanellou A, Mansfeld J, Pearl LH, Oliver AW, Downs JA, Niedzwiedz W, Choudhary JS, Day M, et al. The CIP2A-TOPBP1 axis facilitates mitotic DNA repair via MiDAS and MMEJ. Nature Communications. 2025;16:10623. https://doi.org/10.1038/s41467-025-65594-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cip2a-topbp1-mitotic-repair</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing the CIP2A-TOPBP1 axis, MiDAS and MMEJ pathways, the SLX4 Thr1260 phosphorylation by CDK1, TOPBP1-SMX interactions, CIP2A’s regulation of Polθ and SMX components, and the BRCA1/2-deficient synthetic lethal context, plus experimental approaches referenced (co-IP/MS, CRISPR knock<br />- transcript topics: CIP2A-TOPBP1 axis as a mitotic DNA repair hub; MiDAS and SMX complex recruitment to mitotic chromatin; MMEJ and Polθ dependence in mitosis; CDK1-dependent phosphorylation of SLX4 Thr1260 and TOPBP1 interaction; TOPBP1 BRCT1/2-mediated SMX recruitment and AlphaFold modelling; CIP2A upstream regulation of SLX4 and Polθ localization</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CIP2A-TOPBP1 axis coordinates mitotic DNA repair by promoting MiDAS and MMEJ<br />- CDK1-dependent phosphorylation of SLX4 at Thr1260 enables TOPBP1 BRCT1/2 interaction and SMX recruitment for MiDAS<br />- TOPBP1 BRCT1/2 mediate binding to SMX components; BRCT0-2 suffices for interaction<br />- CIP2A loss impairs both MiDAS (MiDAS-like BIR) and MMEJ, reducing recruitment of SMX and Polθ<br />- Polθ recruitment to mitotic chromatin is CIP2A-dependent; CIP2A depletion reduces Polθ localization and MMEJ activity<br />- BRCA1/2-deficient cells exhibit synthetic lethality when CIP2A-TOPBP1 axis is disrupted</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Nieminuszczy J et al., Nature Communications, doi:10.1038/s41467-025-65594-2 - This study shows the CIP2A-TOPBP1 complex coordinates two mitotic double-strand break repair pathways, MiDAS and MMEJ, by recruiting SLX4/SMX components and Polθ to mitotic chromatin. Key terms: CIP2A, TOPBP1, SLX4, MiDAS, MMEJ.
 Study Highlights:TOPBP1 BRCT1/2 binds SLX4 phosphorylated at Thr1260, a CDK1-dependent modification that promotes recruitment of SLX4, MUS81 and ERCC1 to mitotic chromatin to drive MiDAS. CIP2A is required for mitotic chromatin localisation of both TOPBP1 and Polθ, enabling Polθ-dependent MMEJ. Loss of CIP2A impairs both MiDAS and MMEJ, increasing micronuclei, γH2AX and 53BP1 and reducing proliferation under replication stress. Pharmacological Polθ inhibition combined with disruption of the TOPBP1–SLX4 interaction further elevates genome instability and selectively limits growth of BRCA1/2-deficient cells.
 Conclusion:The CIP2A-TOPBP1 axis is a central mitotic DNA repair hub that integrates CDK1-dependent phosphorylation and Polθ recruitment to safeguard genome stability and represents a therapeutic vulnerability in HR-deficient tumors.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The CIP2A-TOPBP1 axis facilitates mitotic DNA repair via MiDAS and MMEJ
 First author:Nieminuszczy J
 Journal:Nature Communications, doi:10.1038/s41467-025-65594-2
 DOI:10.1038/s41467-025-65594-2
 Reference:Nieminuszczy J, Kozik Z, Jakub N, Vorhauser J, Lane KA, Martin PR, Kowalski S, Lecot M, Kanellou A, Mansfeld J, Pearl LH, Oliver AW, Downs JA, Niedzwiedz W, Choudhary JS, Day M, et al. The CIP2A-TOPBP1 axis facilitates mitotic DNA repair via MiDAS and MMEJ. Nature Communications. 2025;16:10623. https://doi.org/10.1038/s41467-025-65594-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cip2a-topbp1-mitotic-repair
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing the CIP2A-TOPBP1 axis, MiDAS and MMEJ pathways, the SLX4 Thr1260 phosphorylation by CDK1, TOPBP1-SMX interactions, CIP2A’s regulation of Polθ and SMX components, and the BRCA1/2-deficient synthetic lethal context, plus experimental approaches referenced (co-IP/MS, CRISPR knock- transcript topics: CIP2A-TOPBP1 axis as a mitotic DNA repair hub; MiDAS and SMX complex recruitment to mitotic chromatin; MMEJ and Polθ dependence in mitosis; CDK1-dependent phosphorylation of SLX4 Thr1260 and TOPBP1 interaction; TOPBP1 BRCT1/2-mediated SMX recruitment and AlphaFold modelling; CIP2A upstream regulation of SLX4 and Polθ localization
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CIP2A-TOPBP1 axis coordinates mitotic DNA repair by promoting MiDAS and MMEJ- CDK1-dependent phosphorylation of SLX4 at Thr1260 enables TOPBP1 BRCT1/2 interaction and SMX recruitment...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2313342/c1a-p6xp7-ok03ooj4t5vm-pcx9nt.png"></itunes:image>
                                                                            <itunes:duration>00:18:16</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[249: PCM1 links centrosome asymmetry to endosome dynamics]]>
                </title>
                <pubDate>Sun, 04 Jan 2026 20:42:17 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2313002</guid>
                                    <link>https://basebybase.castos.com/episodes/pcm1-centrosome-endosome-asymmetry</link>
                                <description>
                                            <![CDATA[<p>Zhao X et al., Nature Communications - In developing neural progenitors PCM1 localizes to the mother centrosome and to Notch ligand-containing endosomes, promoting Par-3/dynein assembly and Rab5-to-Rab11 trafficking to bias posterior-directed endosome segregation and preserve progenitor fate. Key terms: PCM1, centrosome asymmetry, endosome dynamics, radial glia progenitors, Notch signaling.</p>
<p> Study Highlights:<br />Pcm1 is asymmetrically enriched at the posterior mother centrosome (Cep83+) in zebrafish radial glia progenitors and is also found on central-zone Notch ligand (Dld)-containing endosomes. In vivo time-lapse imaging and expansion microscopy show Pcm1 puncta move with Dld endosomes and promote posterior-directed polarized dynamics. Loss of pcm1 disrupts Rab5b-to-Rab11a trafficking, reduces Par-3 and dynein co-assembly on recycling endosomes, lowers Notch signaling, and shifts divisions toward neuron–neuron outcomes at the expense of progenitors. Similar PCM1–PARD3–CEP83–RAB11 associations and asymmetric PCM1 distribution are observed in human iPSC-derived neural rosettes and cortical organoids.</p>
<p> Conclusion:<br />PCM1 couples centrosome asymmetry to polarized recycling endosome trafficking to enforce asymmetric Notch signaling and maintain radial glia progenitor fate</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />PCM1 coordinates centrosome asymmetry with polarized endosome dynamics to regulate daughter cell fate</p>
<p> First author:<br />Zhao X</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65756-2</p>
<p> Reference:<br />Zhao X., Mouilleau V., Wang Y., Solak A.C., Garcia J.Q., Chen X., Shi X., Wilkinson C.J., Royer L.A., Dong Z. &amp; Guo S. PCM1 coordinates centrosome asymmetry with polarized endosome dynamics to regulate daughter cell fate. Nature Communications. 2025;16:10728. https://doi.org/10.1038/s41467-025-65756-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pcm1-centrosome-endosome-asymmetry</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and mechanisms described in the transcript: PCM1 association with centrosome age, Dld endosome polarization, Par-3/dynein loading on recycling endosomes, Rab5b→Rab11a maturation, cross-species conservation in hiPSC-derived neural progenitors, and clonal division outcomes.<br />- transcript topics: Asymmetric localization of PCM1 at the posterior mother centrosome (Cep83+); Delta-like endosome (Dld) polarization and Notch signaling asymmetry; Co-localization and interaction of Par-3 and dynein on recycling endosomes; Rab5b to Rab11a endosome maturation on Dld endosomes; Conservation of PCM1 asymmetry and endosome dynamics in hiPSC-derived neural progenitors; Clonal analysis of RGP divisions: P/P, P/N, N/N outcomes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PCM1 enriched at the pos...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zhao X et al., Nature Communications - In developing neural progenitors PCM1 localizes to the mother centrosome and to Notch ligand-containing endosomes, promoting Par-3/dynein assembly and Rab5-to-Rab11 trafficking to bias posterior-directed endosome segregation and preserve progenitor fate. Key terms: PCM1, centrosome asymmetry, endosome dynamics, radial glia progenitors, Notch signaling.
 Study Highlights:Pcm1 is asymmetrically enriched at the posterior mother centrosome (Cep83+) in zebrafish radial glia progenitors and is also found on central-zone Notch ligand (Dld)-containing endosomes. In vivo time-lapse imaging and expansion microscopy show Pcm1 puncta move with Dld endosomes and promote posterior-directed polarized dynamics. Loss of pcm1 disrupts Rab5b-to-Rab11a trafficking, reduces Par-3 and dynein co-assembly on recycling endosomes, lowers Notch signaling, and shifts divisions toward neuron–neuron outcomes at the expense of progenitors. Similar PCM1–PARD3–CEP83–RAB11 associations and asymmetric PCM1 distribution are observed in human iPSC-derived neural rosettes and cortical organoids.
 Conclusion:PCM1 couples centrosome asymmetry to polarized recycling endosome trafficking to enforce asymmetric Notch signaling and maintain radial glia progenitor fate
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:PCM1 coordinates centrosome asymmetry with polarized endosome dynamics to regulate daughter cell fate
 First author:Zhao X
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65756-2
 Reference:Zhao X., Mouilleau V., Wang Y., Solak A.C., Garcia J.Q., Chen X., Shi X., Wilkinson C.J., Royer L.A., Dong Z. & Guo S. PCM1 coordinates centrosome asymmetry with polarized endosome dynamics to regulate daughter cell fate. Nature Communications. 2025;16:10728. https://doi.org/10.1038/s41467-025-65756-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pcm1-centrosome-endosome-asymmetry
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and mechanisms described in the transcript: PCM1 association with centrosome age, Dld endosome polarization, Par-3/dynein loading on recycling endosomes, Rab5b→Rab11a maturation, cross-species conservation in hiPSC-derived neural progenitors, and clonal division outcomes.- transcript topics: Asymmetric localization of PCM1 at the posterior mother centrosome (Cep83+); Delta-like endosome (Dld) polarization and Notch signaling asymmetry; Co-localization and interaction of Par-3 and dynein on recycling endosomes; Rab5b to Rab11a endosome maturation on Dld endosomes; Conservation of PCM1 asymmetry and endosome dynamics in hiPSC-derived neural progenitors; Clonal analysis of RGP divisions: P/P, P/N, N/N outcomes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- PCM1 enriched at the pos...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[249: PCM1 links centrosome asymmetry to endosome dynamics]]>
                </itunes:title>
                                    <itunes:episode>249</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zhao X et al., Nature Communications - In developing neural progenitors PCM1 localizes to the mother centrosome and to Notch ligand-containing endosomes, promoting Par-3/dynein assembly and Rab5-to-Rab11 trafficking to bias posterior-directed endosome segregation and preserve progenitor fate. Key terms: PCM1, centrosome asymmetry, endosome dynamics, radial glia progenitors, Notch signaling.</p>
<p> Study Highlights:<br />Pcm1 is asymmetrically enriched at the posterior mother centrosome (Cep83+) in zebrafish radial glia progenitors and is also found on central-zone Notch ligand (Dld)-containing endosomes. In vivo time-lapse imaging and expansion microscopy show Pcm1 puncta move with Dld endosomes and promote posterior-directed polarized dynamics. Loss of pcm1 disrupts Rab5b-to-Rab11a trafficking, reduces Par-3 and dynein co-assembly on recycling endosomes, lowers Notch signaling, and shifts divisions toward neuron–neuron outcomes at the expense of progenitors. Similar PCM1–PARD3–CEP83–RAB11 associations and asymmetric PCM1 distribution are observed in human iPSC-derived neural rosettes and cortical organoids.</p>
<p> Conclusion:<br />PCM1 couples centrosome asymmetry to polarized recycling endosome trafficking to enforce asymmetric Notch signaling and maintain radial glia progenitor fate</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />PCM1 coordinates centrosome asymmetry with polarized endosome dynamics to regulate daughter cell fate</p>
<p> First author:<br />Zhao X</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65756-2</p>
<p> Reference:<br />Zhao X., Mouilleau V., Wang Y., Solak A.C., Garcia J.Q., Chen X., Shi X., Wilkinson C.J., Royer L.A., Dong Z. &amp; Guo S. PCM1 coordinates centrosome asymmetry with polarized endosome dynamics to regulate daughter cell fate. Nature Communications. 2025;16:10728. https://doi.org/10.1038/s41467-025-65756-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pcm1-centrosome-endosome-asymmetry</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and mechanisms described in the transcript: PCM1 association with centrosome age, Dld endosome polarization, Par-3/dynein loading on recycling endosomes, Rab5b→Rab11a maturation, cross-species conservation in hiPSC-derived neural progenitors, and clonal division outcomes.<br />- transcript topics: Asymmetric localization of PCM1 at the posterior mother centrosome (Cep83+); Delta-like endosome (Dld) polarization and Notch signaling asymmetry; Co-localization and interaction of Par-3 and dynein on recycling endosomes; Rab5b to Rab11a endosome maturation on Dld endosomes; Conservation of PCM1 asymmetry and endosome dynamics in hiPSC-derived neural progenitors; Clonal analysis of RGP divisions: P/P, P/N, N/N outcomes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PCM1 enriched at the posterior mother centrosome Cep83+<br />- PCM1 localizes to the central zone near Delta-containing endosomes (Dld) and moves with Dld endosomes<br />- Loss of pcm1 disrupts endosome dynamics and increases neuronal differentiation at the expense of progenitor self-renewal<br />- PCM1 facilitates the Rab5b to Rab11a transition and promotes Par-3 and dynein assembly on recycling endosomes<br />- Conserved PCM1–CEP83–RAB11 associations observed in human hiPSC-derived neural progenitors and organoids<br />- PCM1 acts as a bridge linking centrosome age to polarized endosome trafficking and Notch signaling to preserve progenitor fate</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2313002/c1e-2j46rimoq6jc595n7-v6w7894ghw5-nduhph.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2313002&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fpcm1-centrosome-endosome-asymmetry&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=30a1d3207e4351e2ebeece4372291de0e534b9077bf4dcec97b448743db82171" length="29887533"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Zhao X et al., Nature Communications - In developing neural progenitors PCM1 localizes to the mother centrosome and to Notch ligand-containing endosomes, promoting Par-3/dynein assembly and Rab5-to-Rab11 trafficking to bias posterior-directed endosome segregation and preserve progenitor fate. Key terms: PCM1, centrosome asymmetry, endosome dynamics, radial glia progenitors, Notch signaling.
 Study Highlights:Pcm1 is asymmetrically enriched at the posterior mother centrosome (Cep83+) in zebrafish radial glia progenitors and is also found on central-zone Notch ligand (Dld)-containing endosomes. In vivo time-lapse imaging and expansion microscopy show Pcm1 puncta move with Dld endosomes and promote posterior-directed polarized dynamics. Loss of pcm1 disrupts Rab5b-to-Rab11a trafficking, reduces Par-3 and dynein co-assembly on recycling endosomes, lowers Notch signaling, and shifts divisions toward neuron–neuron outcomes at the expense of progenitors. Similar PCM1–PARD3–CEP83–RAB11 associations and asymmetric PCM1 distribution are observed in human iPSC-derived neural rosettes and cortical organoids.
 Conclusion:PCM1 couples centrosome asymmetry to polarized recycling endosome trafficking to enforce asymmetric Notch signaling and maintain radial glia progenitor fate
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:PCM1 coordinates centrosome asymmetry with polarized endosome dynamics to regulate daughter cell fate
 First author:Zhao X
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65756-2
 Reference:Zhao X., Mouilleau V., Wang Y., Solak A.C., Garcia J.Q., Chen X., Shi X., Wilkinson C.J., Royer L.A., Dong Z. & Guo S. PCM1 coordinates centrosome asymmetry with polarized endosome dynamics to regulate daughter cell fate. Nature Communications. 2025;16:10728. https://doi.org/10.1038/s41467-025-65756-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pcm1-centrosome-endosome-asymmetry
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and mechanisms described in the transcript: PCM1 association with centrosome age, Dld endosome polarization, Par-3/dynein loading on recycling endosomes, Rab5b→Rab11a maturation, cross-species conservation in hiPSC-derived neural progenitors, and clonal division outcomes.- transcript topics: Asymmetric localization of PCM1 at the posterior mother centrosome (Cep83+); Delta-like endosome (Dld) polarization and Notch signaling asymmetry; Co-localization and interaction of Par-3 and dynein on recycling endosomes; Rab5b to Rab11a endosome maturation on Dld endosomes; Conservation of PCM1 asymmetry and endosome dynamics in hiPSC-derived neural progenitors; Clonal analysis of RGP divisions: P/P, P/N, N/N outcomes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- PCM1 enriched at the pos...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2313002/c1a-p6xp7-1p2d8858tjg4-vougcp.png"></itunes:image>
                                                                            <itunes:duration>00:20:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[248: Disruption of PIKfyve triggers lysosomal repair and mitochondrial adaptation]]>
                </title>
                <pubDate>Sat, 03 Jan 2026 06:09:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2311477</guid>
                                    <link>https://basebybase.castos.com/episodes/pikfyve-lysosome-mitochondria</link>
                                <description>
                                            <![CDATA[<p>Kutchukian C et al., Nature Communications - Disruption of the PIKfyve/Fig4/Vac14 complex drives ULK1-dependent trafficking of PI4KIIα and ATG9A to lysosomes, elevating lysosomal PI(4)P to promote membrane repair and induce mitochondrial fragmentation with increased respiration. Key terms: PIKfyve, PI4KIIα, PI(4)P, ULK1, lysosomal repair.</p>
<p> Study Highlights:<br />PIKfyve complex disruption or pharmacological inhibition reduces mTORC1 signaling, activating ULK1 and driving ATG9A-dependent trafficking of PI4KIIα from the TGN to lysosomes. PI4KIIα accumulation elevates lysosomal PI(4)P, recruiting OSBP/ORP proteins to transfer cholesterol and phosphatidylserine and enhance lysosomal membrane repair. Elevated lysosomal PI(4)P recruits ORP1L at ER–lysosome–mitochondria three-way contacts, enabling PI(4)P transfer to mitochondria, Drp1 recruitment, mitochondrial fragmentation, and increased oxygen consumption. Inhibition of ULK1 or PI4KIIα or mitochondrial targeting of Sac1 reverses these lysosomal and mitochondrial phenotypes.</p>
<p> Conclusion:<br />A ULK1-dependent PI4KIIα–PI(4)P pathway links PIKfyve complex dysfunction to coordinated lysosomal membrane repair and adaptive mitochondrial remodeling</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Disruption of the PIKfyve complex unveils an adaptive mechanism to promote lysosomal repair and mitochondrial homeostasis</p>
<p> First author:<br />Kutchukian C</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65798-6</p>
<p> Reference:<br />Kutchukian C., Casas M., Dixon R. E., Dickson E. J. Disruption of the PIKfyve complex unveils an adaptive mechanism to promote lysosomal repair and mitochondrial homeostasis. Nature Communications. 2025;16:10761. https://doi.org/10.1038/s41467-025-65798-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pikfyve-lysosome-mitochondria</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of the paper's mechanism: acute PIKfyve disruption activates a ULK1-dependent PI4KIIα/ATG9A trafficking program, increases lysosomal PI(4)P, recruits OSBP/ORP proteins for membrane repair, enhances ER–lysosome–mitochondria three-way contacts with ORP1L and Drp1-driven mitochondrial fra<br />- transcript topics: ULK1-dependent trafficking of PI4KIIα and ATG9A from the TGN to lysosomes; PI(4)P redistribution to lysosomes and PI4KIIα relocation from the TGN; OSBP/ORP-mediated lipid transfer and lysosomal membrane repair (PITT pathway); ER–lysosome–mitochondria three-way contact sites and ORP1L/Drp1 recruitment; Mitochondrial fragmentation and enhanced respiration (Seahorse data); ULK1/mTOR signaling modulation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Acute PIKfyve inhibition reduces mTORC1 signaling and ULK1 activation<br />- ULK1-dependent trafficking of PI4KIIα and ATG9A from the TGN to lys...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kutchukian C et al., Nature Communications - Disruption of the PIKfyve/Fig4/Vac14 complex drives ULK1-dependent trafficking of PI4KIIα and ATG9A to lysosomes, elevating lysosomal PI(4)P to promote membrane repair and induce mitochondrial fragmentation with increased respiration. Key terms: PIKfyve, PI4KIIα, PI(4)P, ULK1, lysosomal repair.
 Study Highlights:PIKfyve complex disruption or pharmacological inhibition reduces mTORC1 signaling, activating ULK1 and driving ATG9A-dependent trafficking of PI4KIIα from the TGN to lysosomes. PI4KIIα accumulation elevates lysosomal PI(4)P, recruiting OSBP/ORP proteins to transfer cholesterol and phosphatidylserine and enhance lysosomal membrane repair. Elevated lysosomal PI(4)P recruits ORP1L at ER–lysosome–mitochondria three-way contacts, enabling PI(4)P transfer to mitochondria, Drp1 recruitment, mitochondrial fragmentation, and increased oxygen consumption. Inhibition of ULK1 or PI4KIIα or mitochondrial targeting of Sac1 reverses these lysosomal and mitochondrial phenotypes.
 Conclusion:A ULK1-dependent PI4KIIα–PI(4)P pathway links PIKfyve complex dysfunction to coordinated lysosomal membrane repair and adaptive mitochondrial remodeling
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Disruption of the PIKfyve complex unveils an adaptive mechanism to promote lysosomal repair and mitochondrial homeostasis
 First author:Kutchukian C
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65798-6
 Reference:Kutchukian C., Casas M., Dixon R. E., Dickson E. J. Disruption of the PIKfyve complex unveils an adaptive mechanism to promote lysosomal repair and mitochondrial homeostasis. Nature Communications. 2025;16:10761. https://doi.org/10.1038/s41467-025-65798-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pikfyve-lysosome-mitochondria
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of the paper's mechanism: acute PIKfyve disruption activates a ULK1-dependent PI4KIIα/ATG9A trafficking program, increases lysosomal PI(4)P, recruits OSBP/ORP proteins for membrane repair, enhances ER–lysosome–mitochondria three-way contacts with ORP1L and Drp1-driven mitochondrial fra- transcript topics: ULK1-dependent trafficking of PI4KIIα and ATG9A from the TGN to lysosomes; PI(4)P redistribution to lysosomes and PI4KIIα relocation from the TGN; OSBP/ORP-mediated lipid transfer and lysosomal membrane repair (PITT pathway); ER–lysosome–mitochondria three-way contact sites and ORP1L/Drp1 recruitment; Mitochondrial fragmentation and enhanced respiration (Seahorse data); ULK1/mTOR signaling modulation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Acute PIKfyve inhibition reduces mTORC1 signaling and ULK1 activation- ULK1-dependent trafficking of PI4KIIα and ATG9A from the TGN to lys...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[248: Disruption of PIKfyve triggers lysosomal repair and mitochondrial adaptation]]>
                </itunes:title>
                                    <itunes:episode>248</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kutchukian C et al., Nature Communications - Disruption of the PIKfyve/Fig4/Vac14 complex drives ULK1-dependent trafficking of PI4KIIα and ATG9A to lysosomes, elevating lysosomal PI(4)P to promote membrane repair and induce mitochondrial fragmentation with increased respiration. Key terms: PIKfyve, PI4KIIα, PI(4)P, ULK1, lysosomal repair.</p>
<p> Study Highlights:<br />PIKfyve complex disruption or pharmacological inhibition reduces mTORC1 signaling, activating ULK1 and driving ATG9A-dependent trafficking of PI4KIIα from the TGN to lysosomes. PI4KIIα accumulation elevates lysosomal PI(4)P, recruiting OSBP/ORP proteins to transfer cholesterol and phosphatidylserine and enhance lysosomal membrane repair. Elevated lysosomal PI(4)P recruits ORP1L at ER–lysosome–mitochondria three-way contacts, enabling PI(4)P transfer to mitochondria, Drp1 recruitment, mitochondrial fragmentation, and increased oxygen consumption. Inhibition of ULK1 or PI4KIIα or mitochondrial targeting of Sac1 reverses these lysosomal and mitochondrial phenotypes.</p>
<p> Conclusion:<br />A ULK1-dependent PI4KIIα–PI(4)P pathway links PIKfyve complex dysfunction to coordinated lysosomal membrane repair and adaptive mitochondrial remodeling</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Disruption of the PIKfyve complex unveils an adaptive mechanism to promote lysosomal repair and mitochondrial homeostasis</p>
<p> First author:<br />Kutchukian C</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65798-6</p>
<p> Reference:<br />Kutchukian C., Casas M., Dixon R. E., Dickson E. J. Disruption of the PIKfyve complex unveils an adaptive mechanism to promote lysosomal repair and mitochondrial homeostasis. Nature Communications. 2025;16:10761. https://doi.org/10.1038/s41467-025-65798-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pikfyve-lysosome-mitochondria</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of the paper's mechanism: acute PIKfyve disruption activates a ULK1-dependent PI4KIIα/ATG9A trafficking program, increases lysosomal PI(4)P, recruits OSBP/ORP proteins for membrane repair, enhances ER–lysosome–mitochondria three-way contacts with ORP1L and Drp1-driven mitochondrial fra<br />- transcript topics: ULK1-dependent trafficking of PI4KIIα and ATG9A from the TGN to lysosomes; PI(4)P redistribution to lysosomes and PI4KIIα relocation from the TGN; OSBP/ORP-mediated lipid transfer and lysosomal membrane repair (PITT pathway); ER–lysosome–mitochondria three-way contact sites and ORP1L/Drp1 recruitment; Mitochondrial fragmentation and enhanced respiration (Seahorse data); ULK1/mTOR signaling modulation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Acute PIKfyve inhibition reduces mTORC1 signaling and ULK1 activation<br />- ULK1-dependent trafficking of PI4KIIα and ATG9A from the TGN to lysosomes<br />- PI(4)P redistribution to lysosomes via PI4KIIα relocation to lysosomes<br />- OSBP/ORP-mediated transfer of cholesterol and phosphatidylserine to lysosomal membranes (PITT pathway)<br />- ULK1-dependent recruitment of ORP1L at ER–lysosome–mitochondria three-way contacts and DRP1 recruitment<br />- PI(4)P-dependent lysosomal membrane repair and enhanced mitochondrial respiration</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2311477/c1e-q6o5kcd5456snon1v-ww7kvr8qcw6-lfwxfo.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2311477&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fpikfyve-lysosome-mitochondria&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=7ae43ac3dd13c552f551cea53b78926cf78b4e3b51ead76b5d58010d4260028d" length="30659949"
                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Kutchukian C et al., Nature Communications - Disruption of the PIKfyve/Fig4/Vac14 complex drives ULK1-dependent trafficking of PI4KIIα and ATG9A to lysosomes, elevating lysosomal PI(4)P to promote membrane repair and induce mitochondrial fragmentation with increased respiration. Key terms: PIKfyve, PI4KIIα, PI(4)P, ULK1, lysosomal repair.
 Study Highlights:PIKfyve complex disruption or pharmacological inhibition reduces mTORC1 signaling, activating ULK1 and driving ATG9A-dependent trafficking of PI4KIIα from the TGN to lysosomes. PI4KIIα accumulation elevates lysosomal PI(4)P, recruiting OSBP/ORP proteins to transfer cholesterol and phosphatidylserine and enhance lysosomal membrane repair. Elevated lysosomal PI(4)P recruits ORP1L at ER–lysosome–mitochondria three-way contacts, enabling PI(4)P transfer to mitochondria, Drp1 recruitment, mitochondrial fragmentation, and increased oxygen consumption. Inhibition of ULK1 or PI4KIIα or mitochondrial targeting of Sac1 reverses these lysosomal and mitochondrial phenotypes.
 Conclusion:A ULK1-dependent PI4KIIα–PI(4)P pathway links PIKfyve complex dysfunction to coordinated lysosomal membrane repair and adaptive mitochondrial remodeling
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Disruption of the PIKfyve complex unveils an adaptive mechanism to promote lysosomal repair and mitochondrial homeostasis
 First author:Kutchukian C
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65798-6
 Reference:Kutchukian C., Casas M., Dixon R. E., Dickson E. J. Disruption of the PIKfyve complex unveils an adaptive mechanism to promote lysosomal repair and mitochondrial homeostasis. Nature Communications. 2025;16:10761. https://doi.org/10.1038/s41467-025-65798-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pikfyve-lysosome-mitochondria
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of the paper's mechanism: acute PIKfyve disruption activates a ULK1-dependent PI4KIIα/ATG9A trafficking program, increases lysosomal PI(4)P, recruits OSBP/ORP proteins for membrane repair, enhances ER–lysosome–mitochondria three-way contacts with ORP1L and Drp1-driven mitochondrial fra- transcript topics: ULK1-dependent trafficking of PI4KIIα and ATG9A from the TGN to lysosomes; PI(4)P redistribution to lysosomes and PI4KIIα relocation from the TGN; OSBP/ORP-mediated lipid transfer and lysosomal membrane repair (PITT pathway); ER–lysosome–mitochondria three-way contact sites and ORP1L/Drp1 recruitment; Mitochondrial fragmentation and enhanced respiration (Seahorse data); ULK1/mTOR signaling modulation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Acute PIKfyve inhibition reduces mTORC1 signaling and ULK1 activation- ULK1-dependent trafficking of PI4KIIα and ATG9A from the TGN to lys...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2311477/c1a-p6xp7-258kvv4qfmg6-anqvqc.png"></itunes:image>
                                                                            <itunes:duration>00:21:12</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[247: Genome graphs reveal structural variation in M. tuberculosis]]>
                </title>
                <pubDate>Fri, 02 Jan 2026 13:08:39 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2311073</guid>
                                    <link>https://basebybase.castos.com/episodes/structural-variation-mtb-pangenome</link>
                                <description>
                                            <![CDATA[<p>Canalda-Baltrons A et al., Nature Communications - Long-read assemblies and a pangenome reference graph uncover widespread structural variants that shape Mycobacterium tuberculosis evolution and contribute to drug resistance. Key terms: structural variation, pangenome graph, Mycobacterium tuberculosis, drug resistance, long-read sequencing.</p>
<p> Study Highlights:<br />The authors built an M. tuberculosis pangenome reference graph from 859 high-quality long-read assemblies and identified 3,077 unique structural variants genome-wide. They developed miniwalk to genotype SVs from graph-mapped assemblies and showed higher precision for short-read SV genotyping (0.7 vs 0.46 for manta) at modest cost to recall. SVs cluster in GC-rich PE/PPE regions and include recurrent events such as a ppe25-ppe27 deletion fixed in L4.4 and diverse deletions of the copper exporter ctpV specific to sub-lineage L1.2.1 that alter copper-associated transcription. Genotyping 41,134 isolates revealed non-canonical SVs and SV-gene burdens associated with resistance to multiple first- and second-line drugs</p>
<p> Conclusion:<br />Structural variants are an important and previously underappreciated driver of M. tuberculosis evolution and drug resistance, and pangenome graph approaches improve their detection</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance</p>
<p> First author:<br />Canalda-Baltrons A</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65779-9</p>
<p> Reference:<br />Canalda-Baltrons A., Theys D., Chang X., Viberg L. T., Sherry N. L., Coin L., Dunstan S. J., Silcocks M., Hall M. B. Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance. Nature Communications. 2025;16:10746. https://doi.org/10.1038/s41467-025-65779-9</p>
<p> License:<br />CC BY 4.0 International License (CC-BY-4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/structural-variation-mtb-pangenome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of transcript segments describing: PRG construction and miniwalk SV genotyping; genome-wide SV landscape across lineages; ESX loci and ppe25-ppe27 deletion; copper exporter ctpV deletions in L1.2.1 with copper accumulation signals; DR associations across 41,134 isolates; and clinical implications.<br />- transcript topics: PRG construction and miniwalk SV genotyping; Genome-wide SV landscape across M. tuberculosis lineages; ESX secretion systems SVs and ppe25-ppe27 deletion; Copper homeostasis and ctpV deletions in L1.2.1; SV-based drug resistance associations across 41,134 isolates; Clinical implications and integration into sequencing pipelines</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PRG built from 859 long-read Mtb assemblies; 821 assemblies used for SV genotyping<br />- Miniwalk SV genotyping on Illumina data yields precision 0.7 vs manta 0.46<br />- 3077 unique SVs identified across...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Canalda-Baltrons A et al., Nature Communications - Long-read assemblies and a pangenome reference graph uncover widespread structural variants that shape Mycobacterium tuberculosis evolution and contribute to drug resistance. Key terms: structural variation, pangenome graph, Mycobacterium tuberculosis, drug resistance, long-read sequencing.
 Study Highlights:The authors built an M. tuberculosis pangenome reference graph from 859 high-quality long-read assemblies and identified 3,077 unique structural variants genome-wide. They developed miniwalk to genotype SVs from graph-mapped assemblies and showed higher precision for short-read SV genotyping (0.7 vs 0.46 for manta) at modest cost to recall. SVs cluster in GC-rich PE/PPE regions and include recurrent events such as a ppe25-ppe27 deletion fixed in L4.4 and diverse deletions of the copper exporter ctpV specific to sub-lineage L1.2.1 that alter copper-associated transcription. Genotyping 41,134 isolates revealed non-canonical SVs and SV-gene burdens associated with resistance to multiple first- and second-line drugs
 Conclusion:Structural variants are an important and previously underappreciated driver of M. tuberculosis evolution and drug resistance, and pangenome graph approaches improve their detection
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance
 First author:Canalda-Baltrons A
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65779-9
 Reference:Canalda-Baltrons A., Theys D., Chang X., Viberg L. T., Sherry N. L., Coin L., Dunstan S. J., Silcocks M., Hall M. B. Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance. Nature Communications. 2025;16:10746. https://doi.org/10.1038/s41467-025-65779-9
 License:CC BY 4.0 International License (CC-BY-4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/structural-variation-mtb-pangenome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of transcript segments describing: PRG construction and miniwalk SV genotyping; genome-wide SV landscape across lineages; ESX loci and ppe25-ppe27 deletion; copper exporter ctpV deletions in L1.2.1 with copper accumulation signals; DR associations across 41,134 isolates; and clinical implications.- transcript topics: PRG construction and miniwalk SV genotyping; Genome-wide SV landscape across M. tuberculosis lineages; ESX secretion systems SVs and ppe25-ppe27 deletion; Copper homeostasis and ctpV deletions in L1.2.1; SV-based drug resistance associations across 41,134 isolates; Clinical implications and integration into sequencing pipelines
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- PRG built from 859 long-read Mtb assemblies; 821 assemblies used for SV genotyping- Miniwalk SV genotyping on Illumina data yields precision 0.7 vs manta 0.46- 3077 unique SVs identified across...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[247: Genome graphs reveal structural variation in M. tuberculosis]]>
                </itunes:title>
                                    <itunes:episode>247</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Canalda-Baltrons A et al., Nature Communications - Long-read assemblies and a pangenome reference graph uncover widespread structural variants that shape Mycobacterium tuberculosis evolution and contribute to drug resistance. Key terms: structural variation, pangenome graph, Mycobacterium tuberculosis, drug resistance, long-read sequencing.</p>
<p> Study Highlights:<br />The authors built an M. tuberculosis pangenome reference graph from 859 high-quality long-read assemblies and identified 3,077 unique structural variants genome-wide. They developed miniwalk to genotype SVs from graph-mapped assemblies and showed higher precision for short-read SV genotyping (0.7 vs 0.46 for manta) at modest cost to recall. SVs cluster in GC-rich PE/PPE regions and include recurrent events such as a ppe25-ppe27 deletion fixed in L4.4 and diverse deletions of the copper exporter ctpV specific to sub-lineage L1.2.1 that alter copper-associated transcription. Genotyping 41,134 isolates revealed non-canonical SVs and SV-gene burdens associated with resistance to multiple first- and second-line drugs</p>
<p> Conclusion:<br />Structural variants are an important and previously underappreciated driver of M. tuberculosis evolution and drug resistance, and pangenome graph approaches improve their detection</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance</p>
<p> First author:<br />Canalda-Baltrons A</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65779-9</p>
<p> Reference:<br />Canalda-Baltrons A., Theys D., Chang X., Viberg L. T., Sherry N. L., Coin L., Dunstan S. J., Silcocks M., Hall M. B. Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance. Nature Communications. 2025;16:10746. https://doi.org/10.1038/s41467-025-65779-9</p>
<p> License:<br />CC BY 4.0 International License (CC-BY-4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/structural-variation-mtb-pangenome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of transcript segments describing: PRG construction and miniwalk SV genotyping; genome-wide SV landscape across lineages; ESX loci and ppe25-ppe27 deletion; copper exporter ctpV deletions in L1.2.1 with copper accumulation signals; DR associations across 41,134 isolates; and clinical implications.<br />- transcript topics: PRG construction and miniwalk SV genotyping; Genome-wide SV landscape across M. tuberculosis lineages; ESX secretion systems SVs and ppe25-ppe27 deletion; Copper homeostasis and ctpV deletions in L1.2.1; SV-based drug resistance associations across 41,134 isolates; Clinical implications and integration into sequencing pipelines</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PRG built from 859 long-read Mtb assemblies; 821 assemblies used for SV genotyping<br />- Miniwalk SV genotyping on Illumina data yields precision 0.7 vs manta 0.46<br />- 3077 unique SVs identified across 821 isolates (1127 INS, 1694 DEL, 59 DUP, 58 INV, 139 CNVs)<br />- Largest SV ~66,582 bp inverted and translocated in lineage 9<br />- ppe25-ppe27 deletion in ESX-5 is the most frequent non-reference haplotype (9% overall; fixed in sub-lineage 4.4)<br />- Loss-of-function deletions of ctpV observed in L1.2.1 with transcriptional signals consistent with copper accumulation</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Canalda-Baltrons A et al., Nature Communications - Long-read assemblies and a pangenome reference graph uncover widespread structural variants that shape Mycobacterium tuberculosis evolution and contribute to drug resistance. Key terms: structural variation, pangenome graph, Mycobacterium tuberculosis, drug resistance, long-read sequencing.
 Study Highlights:The authors built an M. tuberculosis pangenome reference graph from 859 high-quality long-read assemblies and identified 3,077 unique structural variants genome-wide. They developed miniwalk to genotype SVs from graph-mapped assemblies and showed higher precision for short-read SV genotyping (0.7 vs 0.46 for manta) at modest cost to recall. SVs cluster in GC-rich PE/PPE regions and include recurrent events such as a ppe25-ppe27 deletion fixed in L4.4 and diverse deletions of the copper exporter ctpV specific to sub-lineage L1.2.1 that alter copper-associated transcription. Genotyping 41,134 isolates revealed non-canonical SVs and SV-gene burdens associated with resistance to multiple first- and second-line drugs
 Conclusion:Structural variants are an important and previously underappreciated driver of M. tuberculosis evolution and drug resistance, and pangenome graph approaches improve their detection
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance
 First author:Canalda-Baltrons A
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65779-9
 Reference:Canalda-Baltrons A., Theys D., Chang X., Viberg L. T., Sherry N. L., Coin L., Dunstan S. J., Silcocks M., Hall M. B. Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance. Nature Communications. 2025;16:10746. https://doi.org/10.1038/s41467-025-65779-9
 License:CC BY 4.0 International License (CC-BY-4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/structural-variation-mtb-pangenome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of transcript segments describing: PRG construction and miniwalk SV genotyping; genome-wide SV landscape across lineages; ESX loci and ppe25-ppe27 deletion; copper exporter ctpV deletions in L1.2.1 with copper accumulation signals; DR associations across 41,134 isolates; and clinical implications.- transcript topics: PRG construction and miniwalk SV genotyping; Genome-wide SV landscape across M. tuberculosis lineages; ESX secretion systems SVs and ppe25-ppe27 deletion; Copper homeostasis and ctpV deletions in L1.2.1; SV-based drug resistance associations across 41,134 isolates; Clinical implications and integration into sequencing pipelines
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- PRG built from 859 long-read Mtb assemblies; 821 assemblies used for SV genotyping- Miniwalk SV genotyping on Illumina data yields precision 0.7 vs manta 0.46- 3077 unique SVs identified across...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2311073/c1a-p6xp7-1p2d8852b9g-hq4pex.png"></itunes:image>
                                                                            <itunes:duration>00:21:27</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[246: SV2A structural pharmacology and allosteric occlusion]]>
                </title>
                <pubDate>Thu, 01 Jan 2026 18:13:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2310730</guid>
                                    <link>https://basebybase.castos.com/episodes/sv2a-allosteric-occlusion</link>
                                <description>
                                            <![CDATA[<p>Pidathala S et al., Nature Communications - High-resolution cryo-EM structures of human SV2A reveal that orthosteric ligands induce an occluded MFS conformation and a secondary allosteric pocket modulates ligand binding. Key terms: SV2A, allosteric modulation, cryo-EM, levetiracetam, padsevonil.</p>
<p> Study Highlights:<br />The authors report sub-3 Å cryo-EM structures of human SV2A in the apo state and in complexes with levetiracetam, UCB-J, padsevonil, and the allosteric modulator UCB1244283. Levetiracetam and UCB-J bind the central cavity and drive inward movement of TM1 with Phe188 sealing the lumen, producing complete occlusion with levetiracetam and partial occlusion with UCB-J. UCB1244283 occupies a distinct allosteric site ~13 Å above the orthosteric pocket, reshapes the orthosteric site, lowers UCB-J Kd, increases Bmax, and slows ligand dissociation. Padsevonil binds both orthosteric and allosteric sites, precluding UCB1244283-mediated potentiation and illustrating overlapping but flexible allosteric interactions.</p>
<p> Conclusion:<br />SV2A uses orthosteric-induced occlusion combined with a secondary allosteric pocket to regulate ligand engagement, offering a structural blueprint for designing SV2A-specific modulators</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Structural pharmacology of SV2A reveals an allosteric modulation mechanism in the major facilitator superfamily</p>
<p> First author:<br />Pidathala S</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65781-1</p>
<p> Reference:<br />Pidathala S., Chen X., Dai Y., Gorgulla C., Niu Y., Liu F., Lee C.-H. Structural pharmacology of SV2A reveals an allosteric modulation mechanism in the major facilitator superfamily. Nature Communications. 2025;16:10748. https://doi.org/10.1038/s41467-025-65781-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/sv2a-allosteric-occlusion</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-01.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing SV2A mechanism, ligand-induced occlusion, orthosteric vs allosteric ligands, dual-binding Padsevonil, conditional engagement, and implications for MFS transporters; compared to the original article text.<br />- transcript topics: SV2A as a major facilitator superfamily transporter in brain; Cryo-EM methods and saposin nanoparticle reconstitution for SV2A; Levetiracetam and UCB-J binding to central cavity and induction of occlusion; TM1 inward movement and Phe188 sealing the central cavity; Allosteric site ~13 Å above orthosteric site; UCB1244283 mechanism; Padsevonil dual orthosteric/allosteric binding</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- SV2A is a major facilitator superfamily (MFS) transporter abundantly present in synaptic vesicles<br />- Sub-3 Å cryo-EM structures reported for SV2A in apo form and ligand-bound states<br />- Levetiracetam and UCB-J bind t...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Pidathala S et al., Nature Communications - High-resolution cryo-EM structures of human SV2A reveal that orthosteric ligands induce an occluded MFS conformation and a secondary allosteric pocket modulates ligand binding. Key terms: SV2A, allosteric modulation, cryo-EM, levetiracetam, padsevonil.
 Study Highlights:The authors report sub-3 Å cryo-EM structures of human SV2A in the apo state and in complexes with levetiracetam, UCB-J, padsevonil, and the allosteric modulator UCB1244283. Levetiracetam and UCB-J bind the central cavity and drive inward movement of TM1 with Phe188 sealing the lumen, producing complete occlusion with levetiracetam and partial occlusion with UCB-J. UCB1244283 occupies a distinct allosteric site ~13 Å above the orthosteric pocket, reshapes the orthosteric site, lowers UCB-J Kd, increases Bmax, and slows ligand dissociation. Padsevonil binds both orthosteric and allosteric sites, precluding UCB1244283-mediated potentiation and illustrating overlapping but flexible allosteric interactions.
 Conclusion:SV2A uses orthosteric-induced occlusion combined with a secondary allosteric pocket to regulate ligand engagement, offering a structural blueprint for designing SV2A-specific modulators
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Structural pharmacology of SV2A reveals an allosteric modulation mechanism in the major facilitator superfamily
 First author:Pidathala S
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65781-1
 Reference:Pidathala S., Chen X., Dai Y., Gorgulla C., Niu Y., Liu F., Lee C.-H. Structural pharmacology of SV2A reveals an allosteric modulation mechanism in the major facilitator superfamily. Nature Communications. 2025;16:10748. https://doi.org/10.1038/s41467-025-65781-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/sv2a-allosteric-occlusion
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-01.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing SV2A mechanism, ligand-induced occlusion, orthosteric vs allosteric ligands, dual-binding Padsevonil, conditional engagement, and implications for MFS transporters; compared to the original article text.- transcript topics: SV2A as a major facilitator superfamily transporter in brain; Cryo-EM methods and saposin nanoparticle reconstitution for SV2A; Levetiracetam and UCB-J binding to central cavity and induction of occlusion; TM1 inward movement and Phe188 sealing the central cavity; Allosteric site ~13 Å above orthosteric site; UCB1244283 mechanism; Padsevonil dual orthosteric/allosteric binding
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- SV2A is a major facilitator superfamily (MFS) transporter abundantly present in synaptic vesicles- Sub-3 Å cryo-EM structures reported for SV2A in apo form and ligand-bound states- Levetiracetam and UCB-J bind t...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[246: SV2A structural pharmacology and allosteric occlusion]]>
                </itunes:title>
                                    <itunes:episode>246</itunes:episode>
                                                    <itunes:season>2</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Pidathala S et al., Nature Communications - High-resolution cryo-EM structures of human SV2A reveal that orthosteric ligands induce an occluded MFS conformation and a secondary allosteric pocket modulates ligand binding. Key terms: SV2A, allosteric modulation, cryo-EM, levetiracetam, padsevonil.</p>
<p> Study Highlights:<br />The authors report sub-3 Å cryo-EM structures of human SV2A in the apo state and in complexes with levetiracetam, UCB-J, padsevonil, and the allosteric modulator UCB1244283. Levetiracetam and UCB-J bind the central cavity and drive inward movement of TM1 with Phe188 sealing the lumen, producing complete occlusion with levetiracetam and partial occlusion with UCB-J. UCB1244283 occupies a distinct allosteric site ~13 Å above the orthosteric pocket, reshapes the orthosteric site, lowers UCB-J Kd, increases Bmax, and slows ligand dissociation. Padsevonil binds both orthosteric and allosteric sites, precluding UCB1244283-mediated potentiation and illustrating overlapping but flexible allosteric interactions.</p>
<p> Conclusion:<br />SV2A uses orthosteric-induced occlusion combined with a secondary allosteric pocket to regulate ligand engagement, offering a structural blueprint for designing SV2A-specific modulators</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Structural pharmacology of SV2A reveals an allosteric modulation mechanism in the major facilitator superfamily</p>
<p> First author:<br />Pidathala S</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65781-1</p>
<p> Reference:<br />Pidathala S., Chen X., Dai Y., Gorgulla C., Niu Y., Liu F., Lee C.-H. Structural pharmacology of SV2A reveals an allosteric modulation mechanism in the major facilitator superfamily. Nature Communications. 2025;16:10748. https://doi.org/10.1038/s41467-025-65781-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/sv2a-allosteric-occlusion</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-01.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing SV2A mechanism, ligand-induced occlusion, orthosteric vs allosteric ligands, dual-binding Padsevonil, conditional engagement, and implications for MFS transporters; compared to the original article text.<br />- transcript topics: SV2A as a major facilitator superfamily transporter in brain; Cryo-EM methods and saposin nanoparticle reconstitution for SV2A; Levetiracetam and UCB-J binding to central cavity and induction of occlusion; TM1 inward movement and Phe188 sealing the central cavity; Allosteric site ~13 Å above orthosteric site; UCB1244283 mechanism; Padsevonil dual orthosteric/allosteric binding</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- SV2A is a major facilitator superfamily (MFS) transporter abundantly present in synaptic vesicles<br />- Sub-3 Å cryo-EM structures reported for SV2A in apo form and ligand-bound states<br />- Levetiracetam and UCB-J bind the central cavity and induce occlusion; levetiracetam causes complete occlusion, UCB-J partial occlusion<br />- UCB1244283 binds an allosteric site ~13 Å above the orthosteric site and stabilizes the occluded state while slowing ligand dissociation<br />- Padsevonil occupies both orthosteric and allosteric sites (dual binder)<br />- Allosteric modulation can be conditional, requiring orthosteric occupancy (conditional engagement)</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Pidathala S et al., Nature Communications - High-resolution cryo-EM structures of human SV2A reveal that orthosteric ligands induce an occluded MFS conformation and a secondary allosteric pocket modulates ligand binding. Key terms: SV2A, allosteric modulation, cryo-EM, levetiracetam, padsevonil.
 Study Highlights:The authors report sub-3 Å cryo-EM structures of human SV2A in the apo state and in complexes with levetiracetam, UCB-J, padsevonil, and the allosteric modulator UCB1244283. Levetiracetam and UCB-J bind the central cavity and drive inward movement of TM1 with Phe188 sealing the lumen, producing complete occlusion with levetiracetam and partial occlusion with UCB-J. UCB1244283 occupies a distinct allosteric site ~13 Å above the orthosteric pocket, reshapes the orthosteric site, lowers UCB-J Kd, increases Bmax, and slows ligand dissociation. Padsevonil binds both orthosteric and allosteric sites, precluding UCB1244283-mediated potentiation and illustrating overlapping but flexible allosteric interactions.
 Conclusion:SV2A uses orthosteric-induced occlusion combined with a secondary allosteric pocket to regulate ligand engagement, offering a structural blueprint for designing SV2A-specific modulators
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Structural pharmacology of SV2A reveals an allosteric modulation mechanism in the major facilitator superfamily
 First author:Pidathala S
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65781-1
 Reference:Pidathala S., Chen X., Dai Y., Gorgulla C., Niu Y., Liu F., Lee C.-H. Structural pharmacology of SV2A reveals an allosteric modulation mechanism in the major facilitator superfamily. Nature Communications. 2025;16:10748. https://doi.org/10.1038/s41467-025-65781-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/sv2a-allosteric-occlusion
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-01-01.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing SV2A mechanism, ligand-induced occlusion, orthosteric vs allosteric ligands, dual-binding Padsevonil, conditional engagement, and implications for MFS transporters; compared to the original article text.- transcript topics: SV2A as a major facilitator superfamily transporter in brain; Cryo-EM methods and saposin nanoparticle reconstitution for SV2A; Levetiracetam and UCB-J binding to central cavity and induction of occlusion; TM1 inward movement and Phe188 sealing the central cavity; Allosteric site ~13 Å above orthosteric site; UCB1244283 mechanism; Padsevonil dual orthosteric/allosteric binding
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- SV2A is a major facilitator superfamily (MFS) transporter abundantly present in synaptic vesicles- Sub-3 Å cryo-EM structures reported for SV2A in apo form and ligand-bound states- Levetiracetam and UCB-J bind t...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2310730/c1a-p6xp7-jpxj55d0ik3m-1ldiu1.png"></itunes:image>
                                                                            <itunes:duration>00:16:44</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[245: Benchmarking DNA foundation models]]>
                </title>
                <pubDate>Wed, 31 Dec 2025 17:12:59 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2310066</guid>
                                    <link>https://basebybase.castos.com/episodes/dna-foundation-models-benchmark</link>
                                <description>
                                            <![CDATA[<p>Feng H et al., Nat Commun - A comprehensive, unbiased benchmark compares five DNA foundation models across 57 datasets and multiple tasks, finding mean token embeddings improve classification and that model strengths vary by task and pre-training. Key terms: DNA foundation models, mean token embedding, sequence classification, variant effect, gene expression.</p>
<p> Study Highlights:<br />The study evaluated DNABERT-2, NT-v2, HyenaDNA, Caduceus-Ph, and GROVER on 57 datasets spanning sequence classification, gene expression prediction, variant effect quantification, and TAD recognition. Mean token embedding consistently and significantly outperformed summary-token and max pooling for sequence classification. Model performance was task-dependent: Caduceus-Ph excelled at human TFBS and promoter tasks, NT-v2 led pathogenic variant identification, HyenaDNA scaled efficiently and benefited from multi-species pre-training, while specialized models outperformed general foundations on QTL prediction. Zero-shot embeddings provided modest gene expression prediction and NT-v2 attention patterns did not reveal inherent TAD recognition.</p>
<p> Conclusion:<br />Mean token pooling yields more robust sequence-level representations and model choice should align with task, input length, and pre-training data for best genomic performance</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Feng H</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65823-8</p>
<p> Reference:<br />Feng H, Wu L, Zhao B, Huff C, Zhang J, Wu J, Lin L, Wei P &amp; Wu C. Benchmarking DNA foundation models for genomic and genetic tasks. Nat Commun. 2025;16:10780. https://doi.org/10.1038/s41467-025-65823-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/dna-foundation-models-benchmark</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-31.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of core scientific claims: DNA foundation models benchmarking, pooling strategies (mean token embedding), zero-shot embeddings with a downstream classifier, VEQ dichotomy, multispecies pre-training and cross-species generalization, long-sequence performance, TAD recognition limitations<br />- transcript topics: DNA foundation models and zero-shot embeddings; Pooling strategies for sequence representations (mean token embedding vs summary/max pooling); Downstream classification using zero-shot embeddings (random forest); Variant effect quantification: pathogenic vs QTL (VEQ dichotomy); Multispecies pre-training and cross-species generalization; Cross-species transfer in promoter identification (Arabidopsis example)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Mean token embedding consistently improves sequence classification across all foundation models and yields measurable AUROC gains.<br />- Zero-shot embeddings with frozen weights are evaluated with a downstream random forest classif...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Feng H et al., Nat Commun - A comprehensive, unbiased benchmark compares five DNA foundation models across 57 datasets and multiple tasks, finding mean token embeddings improve classification and that model strengths vary by task and pre-training. Key terms: DNA foundation models, mean token embedding, sequence classification, variant effect, gene expression.
 Study Highlights:The study evaluated DNABERT-2, NT-v2, HyenaDNA, Caduceus-Ph, and GROVER on 57 datasets spanning sequence classification, gene expression prediction, variant effect quantification, and TAD recognition. Mean token embedding consistently and significantly outperformed summary-token and max pooling for sequence classification. Model performance was task-dependent: Caduceus-Ph excelled at human TFBS and promoter tasks, NT-v2 led pathogenic variant identification, HyenaDNA scaled efficiently and benefited from multi-species pre-training, while specialized models outperformed general foundations on QTL prediction. Zero-shot embeddings provided modest gene expression prediction and NT-v2 attention patterns did not reveal inherent TAD recognition.
 Conclusion:Mean token pooling yields more robust sequence-level representations and model choice should align with task, input length, and pre-training data for best genomic performance
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Feng H
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65823-8
 Reference:Feng H, Wu L, Zhao B, Huff C, Zhang J, Wu J, Lin L, Wei P & Wu C. Benchmarking DNA foundation models for genomic and genetic tasks. Nat Commun. 2025;16:10780. https://doi.org/10.1038/s41467-025-65823-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/dna-foundation-models-benchmark
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-31.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of core scientific claims: DNA foundation models benchmarking, pooling strategies (mean token embedding), zero-shot embeddings with a downstream classifier, VEQ dichotomy, multispecies pre-training and cross-species generalization, long-sequence performance, TAD recognition limitations- transcript topics: DNA foundation models and zero-shot embeddings; Pooling strategies for sequence representations (mean token embedding vs summary/max pooling); Downstream classification using zero-shot embeddings (random forest); Variant effect quantification: pathogenic vs QTL (VEQ dichotomy); Multispecies pre-training and cross-species generalization; Cross-species transfer in promoter identification (Arabidopsis example)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Mean token embedding consistently improves sequence classification across all foundation models and yields measurable AUROC gains.- Zero-shot embeddings with frozen weights are evaluated with a downstream random forest classif...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[245: Benchmarking DNA foundation models]]>
                </itunes:title>
                                    <itunes:episode>245</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Feng H et al., Nat Commun - A comprehensive, unbiased benchmark compares five DNA foundation models across 57 datasets and multiple tasks, finding mean token embeddings improve classification and that model strengths vary by task and pre-training. Key terms: DNA foundation models, mean token embedding, sequence classification, variant effect, gene expression.</p>
<p> Study Highlights:<br />The study evaluated DNABERT-2, NT-v2, HyenaDNA, Caduceus-Ph, and GROVER on 57 datasets spanning sequence classification, gene expression prediction, variant effect quantification, and TAD recognition. Mean token embedding consistently and significantly outperformed summary-token and max pooling for sequence classification. Model performance was task-dependent: Caduceus-Ph excelled at human TFBS and promoter tasks, NT-v2 led pathogenic variant identification, HyenaDNA scaled efficiently and benefited from multi-species pre-training, while specialized models outperformed general foundations on QTL prediction. Zero-shot embeddings provided modest gene expression prediction and NT-v2 attention patterns did not reveal inherent TAD recognition.</p>
<p> Conclusion:<br />Mean token pooling yields more robust sequence-level representations and model choice should align with task, input length, and pre-training data for best genomic performance</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Feng H</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65823-8</p>
<p> Reference:<br />Feng H, Wu L, Zhao B, Huff C, Zhang J, Wu J, Lin L, Wei P &amp; Wu C. Benchmarking DNA foundation models for genomic and genetic tasks. Nat Commun. 2025;16:10780. https://doi.org/10.1038/s41467-025-65823-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/dna-foundation-models-benchmark</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-31.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of core scientific claims: DNA foundation models benchmarking, pooling strategies (mean token embedding), zero-shot embeddings with a downstream classifier, VEQ dichotomy, multispecies pre-training and cross-species generalization, long-sequence performance, TAD recognition limitations<br />- transcript topics: DNA foundation models and zero-shot embeddings; Pooling strategies for sequence representations (mean token embedding vs summary/max pooling); Downstream classification using zero-shot embeddings (random forest); Variant effect quantification: pathogenic vs QTL (VEQ dichotomy); Multispecies pre-training and cross-species generalization; Cross-species transfer in promoter identification (Arabidopsis example)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Mean token embedding consistently improves sequence classification across all foundation models and yields measurable AUROC gains.<br />- Zero-shot embeddings with frozen weights are evaluated with a downstream random forest classifier to measure embedding quality without fine-tuning.<br />- VEQ dichotomy: generalists excel at pathogenic variant identification; specialized models excel at tissue-specific QTL predictions.<br />- Multispecies pre-training improves generalization; 14 of 49 tasks show statistically significant improvements, with some tasks favoring human-only pre-training.<br />- Cross-species transfer evidence: HyenaDNA pre-trained on human genomes shows cross-species transfer advantages (e.g., Arabidopsis promoter identification).<br />- NT-v2 self-attention does not inherently recognize higher-order chromatin structures (TADs) in zero-shot mode.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2310066/c1e-w38o0b3ndqwix3xvg-7zr77o2qc8nz-c7ml6p.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2310066&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fdna-foundation-models-benchmark&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=c7b847739b1bc33236435ca488d5f4b9d53fabf78e3d56cce597b57a457c4ea3" length="27736173"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Feng H et al., Nat Commun - A comprehensive, unbiased benchmark compares five DNA foundation models across 57 datasets and multiple tasks, finding mean token embeddings improve classification and that model strengths vary by task and pre-training. Key terms: DNA foundation models, mean token embedding, sequence classification, variant effect, gene expression.
 Study Highlights:The study evaluated DNABERT-2, NT-v2, HyenaDNA, Caduceus-Ph, and GROVER on 57 datasets spanning sequence classification, gene expression prediction, variant effect quantification, and TAD recognition. Mean token embedding consistently and significantly outperformed summary-token and max pooling for sequence classification. Model performance was task-dependent: Caduceus-Ph excelled at human TFBS and promoter tasks, NT-v2 led pathogenic variant identification, HyenaDNA scaled efficiently and benefited from multi-species pre-training, while specialized models outperformed general foundations on QTL prediction. Zero-shot embeddings provided modest gene expression prediction and NT-v2 attention patterns did not reveal inherent TAD recognition.
 Conclusion:Mean token pooling yields more robust sequence-level representations and model choice should align with task, input length, and pre-training data for best genomic performance
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Feng H
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65823-8
 Reference:Feng H, Wu L, Zhao B, Huff C, Zhang J, Wu J, Lin L, Wei P & Wu C. Benchmarking DNA foundation models for genomic and genetic tasks. Nat Commun. 2025;16:10780. https://doi.org/10.1038/s41467-025-65823-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/dna-foundation-models-benchmark
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-31.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of core scientific claims: DNA foundation models benchmarking, pooling strategies (mean token embedding), zero-shot embeddings with a downstream classifier, VEQ dichotomy, multispecies pre-training and cross-species generalization, long-sequence performance, TAD recognition limitations- transcript topics: DNA foundation models and zero-shot embeddings; Pooling strategies for sequence representations (mean token embedding vs summary/max pooling); Downstream classification using zero-shot embeddings (random forest); Variant effect quantification: pathogenic vs QTL (VEQ dichotomy); Multispecies pre-training and cross-species generalization; Cross-species transfer in promoter identification (Arabidopsis example)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Mean token embedding consistently improves sequence classification across all foundation models and yields measurable AUROC gains.- Zero-shot embeddings with frozen weights are evaluated with a downstream random forest classif...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2310066/c1a-p6xp7-6z8w22o2hj64-ueraii.png"></itunes:image>
                                                                            <itunes:duration>00:19:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[244: NEK7 couples SDHB to preserve mitochondrial electron transport and limit liver fibrosis]]>
                </title>
                <pubDate>Tue, 30 Dec 2025 05:57:16 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2308162</guid>
                                    <link>https://basebybase.castos.com/episodes/nek7-sdhb-mitochondria-fibrosis</link>
                                <description>
                                            <![CDATA[<p>Sun Z et al., Nature Communications - Mitochondrial NEK7 is imported via MTS peptides, binds SDHB to stabilize complex II conformation, prevent reverse electron transport and ROS, and thereby protects against spontaneous and experimentally induced liver fibrosis. Key terms: NEK7, SDHB, reverse electron transport, ROS, liver fibrosis.</p>
<p> Study Highlights:<br />NEK7 localizes to hepatocyte mitochondria through two internal mitochondrial targeting signal peptides and co‑localizes with SDHB. NEK7 binds SDHB and stabilizes complex II spatial conformation without changing SDHB abundance or complex assembly. Hepatocyte NEK7 deficiency induces reverse electron transport, increases mitochondrial membrane potential and mtROS, suppresses respiration, and triggers spontaneous liver fibrosis while worsening CCl4‑induced fibrosis. RET inhibitors or NEK7 overexpression restore mitochondrial function and substantially attenuate CCl4‑ and CDAHFD‑induced liver fibrosis.</p>
<p> Conclusion:<br />NEK7 maintains respiratory chain electron transport homeostasis via SDHB binding and is a candidate therapeutic target to prevent or treat liver fibrosis</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />NEK7 couples SDHB to orchestrate respiratory chain electron transport homeostasis that impedes liver fibrosis</p>
<p> First author:<br />Sun Z</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65790-0</p>
<p> Reference:<br />Sun Z., Le S., Hua H., Ren Y., Zhu W., Wang X., Gu W., Huang S., Zhong D., Sun Y., Zhang Y., Zhang A. &amp; Jia Z. NEK7 couples SDHB to orchestrate respiratory chain electron transport homeostasis that impedes liver fibrosis. Nature Communications. 2025;16:10751. https://doi.org/10.1038/s41467-025-65790-0</p>
<p> License:<br />CC BY 4.0 / Creative Commons Attribution 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nek7-sdhb-mitochondria-fibrosis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for core mechanistic claims and experimental outcomes: mitochondrial localization of NEK7 via MTS, NEK7–SDHB binding and complex II stabilization, consequences of NEK7 deficiency (RET, mtROS, membrane potential, respiration), fibrosis phenotypes in hepatocyte NEK7 knockout mice, rescue by NEK<br />- transcript topics: NEK7 mitochondrial localization and mitochondrial targeting sequences (MTS); NEK7–SDHB interaction and stabilization of mitochondrial complex II; NEK7 deficiency effects: RET, mtROS, membrane potential, respiration impairment; Spontaneous liver fibrosis in hepatocyte NEK7 knockout mice; NEK7 overexpression mitigates CCl4- and CDAHFD-induced liver fibrosis; RET inhibitors and ROS scavengers mitigate NEK7-deficiency–driven fibrosis</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- NEK7 localizes to mitochondria in hepatocytes via two mitochondrial targeting signal peptides (MTS).<br />- NEK7 directly binds SDHB and stabilizes the spatial conformation of complex II, supporting forward electron transport.<br />- NEK7 deficiency in hepatocytes i...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - How to prevent and treat liver scarring?</li><li>(00:02:07) - Liver fibrosis: The mystery of NEK7</li><li>(00:07:58) - Liver fibrosis: NeK7 protection</li><li>(00:14:14) - Keep It Moving Forward</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sun Z et al., Nature Communications - Mitochondrial NEK7 is imported via MTS peptides, binds SDHB to stabilize complex II conformation, prevent reverse electron transport and ROS, and thereby protects against spontaneous and experimentally induced liver fibrosis. Key terms: NEK7, SDHB, reverse electron transport, ROS, liver fibrosis.
 Study Highlights:NEK7 localizes to hepatocyte mitochondria through two internal mitochondrial targeting signal peptides and co‑localizes with SDHB. NEK7 binds SDHB and stabilizes complex II spatial conformation without changing SDHB abundance or complex assembly. Hepatocyte NEK7 deficiency induces reverse electron transport, increases mitochondrial membrane potential and mtROS, suppresses respiration, and triggers spontaneous liver fibrosis while worsening CCl4‑induced fibrosis. RET inhibitors or NEK7 overexpression restore mitochondrial function and substantially attenuate CCl4‑ and CDAHFD‑induced liver fibrosis.
 Conclusion:NEK7 maintains respiratory chain electron transport homeostasis via SDHB binding and is a candidate therapeutic target to prevent or treat liver fibrosis
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:NEK7 couples SDHB to orchestrate respiratory chain electron transport homeostasis that impedes liver fibrosis
 First author:Sun Z
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65790-0
 Reference:Sun Z., Le S., Hua H., Ren Y., Zhu W., Wang X., Gu W., Huang S., Zhong D., Sun Y., Zhang Y., Zhang A. & Jia Z. NEK7 couples SDHB to orchestrate respiratory chain electron transport homeostasis that impedes liver fibrosis. Nature Communications. 2025;16:10751. https://doi.org/10.1038/s41467-025-65790-0
 License:CC BY 4.0 / Creative Commons Attribution 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nek7-sdhb-mitochondria-fibrosis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for core mechanistic claims and experimental outcomes: mitochondrial localization of NEK7 via MTS, NEK7–SDHB binding and complex II stabilization, consequences of NEK7 deficiency (RET, mtROS, membrane potential, respiration), fibrosis phenotypes in hepatocyte NEK7 knockout mice, rescue by NEK- transcript topics: NEK7 mitochondrial localization and mitochondrial targeting sequences (MTS); NEK7–SDHB interaction and stabilization of mitochondrial complex II; NEK7 deficiency effects: RET, mtROS, membrane potential, respiration impairment; Spontaneous liver fibrosis in hepatocyte NEK7 knockout mice; NEK7 overexpression mitigates CCl4- and CDAHFD-induced liver fibrosis; RET inhibitors and ROS scavengers mitigate NEK7-deficiency–driven fibrosis
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- NEK7 localizes to mitochondria in hepatocytes via two mitochondrial targeting signal peptides (MTS).- NEK7 directly binds SDHB and stabilizes the spatial conformation of complex II, supporting forward electron transport.- NEK7 deficiency in hepatocytes i...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[244: NEK7 couples SDHB to preserve mitochondrial electron transport and limit liver fibrosis]]>
                </itunes:title>
                                    <itunes:episode>244</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sun Z et al., Nature Communications - Mitochondrial NEK7 is imported via MTS peptides, binds SDHB to stabilize complex II conformation, prevent reverse electron transport and ROS, and thereby protects against spontaneous and experimentally induced liver fibrosis. Key terms: NEK7, SDHB, reverse electron transport, ROS, liver fibrosis.</p>
<p> Study Highlights:<br />NEK7 localizes to hepatocyte mitochondria through two internal mitochondrial targeting signal peptides and co‑localizes with SDHB. NEK7 binds SDHB and stabilizes complex II spatial conformation without changing SDHB abundance or complex assembly. Hepatocyte NEK7 deficiency induces reverse electron transport, increases mitochondrial membrane potential and mtROS, suppresses respiration, and triggers spontaneous liver fibrosis while worsening CCl4‑induced fibrosis. RET inhibitors or NEK7 overexpression restore mitochondrial function and substantially attenuate CCl4‑ and CDAHFD‑induced liver fibrosis.</p>
<p> Conclusion:<br />NEK7 maintains respiratory chain electron transport homeostasis via SDHB binding and is a candidate therapeutic target to prevent or treat liver fibrosis</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />NEK7 couples SDHB to orchestrate respiratory chain electron transport homeostasis that impedes liver fibrosis</p>
<p> First author:<br />Sun Z</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65790-0</p>
<p> Reference:<br />Sun Z., Le S., Hua H., Ren Y., Zhu W., Wang X., Gu W., Huang S., Zhong D., Sun Y., Zhang Y., Zhang A. &amp; Jia Z. NEK7 couples SDHB to orchestrate respiratory chain electron transport homeostasis that impedes liver fibrosis. Nature Communications. 2025;16:10751. https://doi.org/10.1038/s41467-025-65790-0</p>
<p> License:<br />CC BY 4.0 / Creative Commons Attribution 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nek7-sdhb-mitochondria-fibrosis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for core mechanistic claims and experimental outcomes: mitochondrial localization of NEK7 via MTS, NEK7–SDHB binding and complex II stabilization, consequences of NEK7 deficiency (RET, mtROS, membrane potential, respiration), fibrosis phenotypes in hepatocyte NEK7 knockout mice, rescue by NEK<br />- transcript topics: NEK7 mitochondrial localization and mitochondrial targeting sequences (MTS); NEK7–SDHB interaction and stabilization of mitochondrial complex II; NEK7 deficiency effects: RET, mtROS, membrane potential, respiration impairment; Spontaneous liver fibrosis in hepatocyte NEK7 knockout mice; NEK7 overexpression mitigates CCl4- and CDAHFD-induced liver fibrosis; RET inhibitors and ROS scavengers mitigate NEK7-deficiency–driven fibrosis</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- NEK7 localizes to mitochondria in hepatocytes via two mitochondrial targeting signal peptides (MTS).<br />- NEK7 directly binds SDHB and stabilizes the spatial conformation of complex II, supporting forward electron transport.<br />- NEK7 deficiency in hepatocytes induces RET, increases mtROS, increases membrane potential, reduces respiration, and leads to spontaneous liver fibrosis.<br />- Overexpression of NEK7 reduces liver fibrosis in both CCl4- and CDAHFD-induced models and restores mitochondrial morphology/function.<br />- NEK7’s protective effect is independent of NLRP3 inflammasome activation in hepatocytes.<br />- RET inhibitors and ROS scavengers alleviate NEK7 deficiency–driven fibrosis in vivo and in vitro.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Sun Z et al., Nature Communications - Mitochondrial NEK7 is imported via MTS peptides, binds SDHB to stabilize complex II conformation, prevent reverse electron transport and ROS, and thereby protects against spontaneous and experimentally induced liver fibrosis. Key terms: NEK7, SDHB, reverse electron transport, ROS, liver fibrosis.
 Study Highlights:NEK7 localizes to hepatocyte mitochondria through two internal mitochondrial targeting signal peptides and co‑localizes with SDHB. NEK7 binds SDHB and stabilizes complex II spatial conformation without changing SDHB abundance or complex assembly. Hepatocyte NEK7 deficiency induces reverse electron transport, increases mitochondrial membrane potential and mtROS, suppresses respiration, and triggers spontaneous liver fibrosis while worsening CCl4‑induced fibrosis. RET inhibitors or NEK7 overexpression restore mitochondrial function and substantially attenuate CCl4‑ and CDAHFD‑induced liver fibrosis.
 Conclusion:NEK7 maintains respiratory chain electron transport homeostasis via SDHB binding and is a candidate therapeutic target to prevent or treat liver fibrosis
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:NEK7 couples SDHB to orchestrate respiratory chain electron transport homeostasis that impedes liver fibrosis
 First author:Sun Z
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65790-0
 Reference:Sun Z., Le S., Hua H., Ren Y., Zhu W., Wang X., Gu W., Huang S., Zhong D., Sun Y., Zhang Y., Zhang A. & Jia Z. NEK7 couples SDHB to orchestrate respiratory chain electron transport homeostasis that impedes liver fibrosis. Nature Communications. 2025;16:10751. https://doi.org/10.1038/s41467-025-65790-0
 License:CC BY 4.0 / Creative Commons Attribution 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nek7-sdhb-mitochondria-fibrosis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for core mechanistic claims and experimental outcomes: mitochondrial localization of NEK7 via MTS, NEK7–SDHB binding and complex II stabilization, consequences of NEK7 deficiency (RET, mtROS, membrane potential, respiration), fibrosis phenotypes in hepatocyte NEK7 knockout mice, rescue by NEK- transcript topics: NEK7 mitochondrial localization and mitochondrial targeting sequences (MTS); NEK7–SDHB interaction and stabilization of mitochondrial complex II; NEK7 deficiency effects: RET, mtROS, membrane potential, respiration impairment; Spontaneous liver fibrosis in hepatocyte NEK7 knockout mice; NEK7 overexpression mitigates CCl4- and CDAHFD-induced liver fibrosis; RET inhibitors and ROS scavengers mitigate NEK7-deficiency–driven fibrosis
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- NEK7 localizes to mitochondria in hepatocytes via two mitochondrial targeting signal peptides (MTS).- NEK7 directly binds SDHB and stabilizes the spatial conformation of complex II, supporting forward electron transport.- NEK7 deficiency in hepatocytes i...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2308162/c1a-p6xp7-qdp499mgswpx-mqug48.png"></itunes:image>
                                                                            <itunes:duration>00:17:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2308162/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[243: Genome-wide UVB GxE study finds 162 vitamin D variants]]>
                </title>
                <pubDate>Mon, 29 Dec 2025 05:54:17 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2307476</guid>
                                    <link>https://basebybase.castos.com/episodes/uvb-gxe-vitamin-d-variants</link>
                                <description>
                                            <![CDATA[<p>Shraim R et al., Nat Commun - A GWIS of 338,977 UK Biobank White British participants using a cumulative weighted ambient UVB measure identified 307 independent loci for 25-hydroxyvitamin D, including 162 novel variants. Key terms: vitamin D, gene-environment interaction, ambient UVB, GWAS, circadian rhythm.</p>
<p> Study Highlights:<br />The study linked a cumulative and weighted ambient UVB (CW-D-UVB) dose from TEMIS to each participant’s residence and blood draw date to model gene-environment interaction on standardized log-transformed 25OHD in 338,977 White British UK Biobank participants. Genome-wide marginal, interaction, and joint tests identified 307 independent variants associated with 25OHD, 162 of which were novel to prior GWAS. SNP-heritability increased across CW-D-UVB quintiles from 8.48% in the lowest to 15.56% in the highest and was higher in participants reporting ≥3 hours outdoors. Functional annotation implicated known vitamin D genes, glucuronidation and lipid metabolism pathways, and circadian clock genes including BMAL1 and NPAS2, with replication showing concordant effect directions in European, LURIC, and ORCADES cohorts</p>
<p> Conclusion:<br />Incorporating a precise ambient UVB exposure measure increased power to detect genetic effects on vitamin D status and revealed GxE interactions linking vitamin D biology with lipid metabolism and circadian regulation</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Shraim R</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65820-x</p>
<p> Reference:<br />Shraim R, Timofeeva M, Wyse C, van Geffen J, van Weele M, Romero-Ortuno R, Lopez LM, Pilz S, März W, Fletcher BS, Kleber ME, Wilson JF, Theodoratou E, Dunlop MG, McManus R, Zgaga L. Genome-wide gene-environment interaction study uncovers 162 vitamin D status variants using a precise ambient UVB measure. Nat Commun. 2025;16:10774. https://doi.org/10.1038/s41467-025-65820-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/uvb-gxe-vitamin-d-variants</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-29.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of: (i) construction of the CW-D-UVB exposure metric and study scale; (ii) genome-wide and interaction results for 25OHD; (iii) heritability gradient with UVB; (iv) key genes and pathways (circadian clock, UGT glucuronidation, lipid metabolism); (v) replication across European UKB, LUR<br />- transcript topics: CW-D-UVB environmental exposure measurement; GWAS results for 25OHD (marginal, interaction, joint tests); Gene-environment interactions with UVB; SNP-based heritability gradient across UVB quintiles; Circadian clock genes BMAL1/ARNTL and NPAS2; UGT glucuronidation and lipid metabolism pathways</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CW-D-UVB: cumulative, weighted ambient UVB dose over 135 days prior to sampling<br />- Cohort: 338,977 UK Biobank part...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Quantifying the genetics of vitamin D</li><li>(00:05:54) - The genetic basis of vitamin D deficiency</li><li>(00:08:45) - Vitamin D genetic risk in winter</li><li>(00:11:26) - Genetic determinants of vitamin D</li><li>(00:12:48) - I'm Made of Clockwork Sun Lines</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Shraim R et al., Nat Commun - A GWIS of 338,977 UK Biobank White British participants using a cumulative weighted ambient UVB measure identified 307 independent loci for 25-hydroxyvitamin D, including 162 novel variants. Key terms: vitamin D, gene-environment interaction, ambient UVB, GWAS, circadian rhythm.
 Study Highlights:The study linked a cumulative and weighted ambient UVB (CW-D-UVB) dose from TEMIS to each participant’s residence and blood draw date to model gene-environment interaction on standardized log-transformed 25OHD in 338,977 White British UK Biobank participants. Genome-wide marginal, interaction, and joint tests identified 307 independent variants associated with 25OHD, 162 of which were novel to prior GWAS. SNP-heritability increased across CW-D-UVB quintiles from 8.48% in the lowest to 15.56% in the highest and was higher in participants reporting ≥3 hours outdoors. Functional annotation implicated known vitamin D genes, glucuronidation and lipid metabolism pathways, and circadian clock genes including BMAL1 and NPAS2, with replication showing concordant effect directions in European, LURIC, and ORCADES cohorts
 Conclusion:Incorporating a precise ambient UVB exposure measure increased power to detect genetic effects on vitamin D status and revealed GxE interactions linking vitamin D biology with lipid metabolism and circadian regulation
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Shraim R
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65820-x
 Reference:Shraim R, Timofeeva M, Wyse C, van Geffen J, van Weele M, Romero-Ortuno R, Lopez LM, Pilz S, März W, Fletcher BS, Kleber ME, Wilson JF, Theodoratou E, Dunlop MG, McManus R, Zgaga L. Genome-wide gene-environment interaction study uncovers 162 vitamin D status variants using a precise ambient UVB measure. Nat Commun. 2025;16:10774. https://doi.org/10.1038/s41467-025-65820-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/uvb-gxe-vitamin-d-variants
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-29.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of: (i) construction of the CW-D-UVB exposure metric and study scale; (ii) genome-wide and interaction results for 25OHD; (iii) heritability gradient with UVB; (iv) key genes and pathways (circadian clock, UGT glucuronidation, lipid metabolism); (v) replication across European UKB, LUR- transcript topics: CW-D-UVB environmental exposure measurement; GWAS results for 25OHD (marginal, interaction, joint tests); Gene-environment interactions with UVB; SNP-based heritability gradient across UVB quintiles; Circadian clock genes BMAL1/ARNTL and NPAS2; UGT glucuronidation and lipid metabolism pathways
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CW-D-UVB: cumulative, weighted ambient UVB dose over 135 days prior to sampling- Cohort: 338,977 UK Biobank part...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[243: Genome-wide UVB GxE study finds 162 vitamin D variants]]>
                </itunes:title>
                                    <itunes:episode>243</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Shraim R et al., Nat Commun - A GWIS of 338,977 UK Biobank White British participants using a cumulative weighted ambient UVB measure identified 307 independent loci for 25-hydroxyvitamin D, including 162 novel variants. Key terms: vitamin D, gene-environment interaction, ambient UVB, GWAS, circadian rhythm.</p>
<p> Study Highlights:<br />The study linked a cumulative and weighted ambient UVB (CW-D-UVB) dose from TEMIS to each participant’s residence and blood draw date to model gene-environment interaction on standardized log-transformed 25OHD in 338,977 White British UK Biobank participants. Genome-wide marginal, interaction, and joint tests identified 307 independent variants associated with 25OHD, 162 of which were novel to prior GWAS. SNP-heritability increased across CW-D-UVB quintiles from 8.48% in the lowest to 15.56% in the highest and was higher in participants reporting ≥3 hours outdoors. Functional annotation implicated known vitamin D genes, glucuronidation and lipid metabolism pathways, and circadian clock genes including BMAL1 and NPAS2, with replication showing concordant effect directions in European, LURIC, and ORCADES cohorts</p>
<p> Conclusion:<br />Incorporating a precise ambient UVB exposure measure increased power to detect genetic effects on vitamin D status and revealed GxE interactions linking vitamin D biology with lipid metabolism and circadian regulation</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Shraim R</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65820-x</p>
<p> Reference:<br />Shraim R, Timofeeva M, Wyse C, van Geffen J, van Weele M, Romero-Ortuno R, Lopez LM, Pilz S, März W, Fletcher BS, Kleber ME, Wilson JF, Theodoratou E, Dunlop MG, McManus R, Zgaga L. Genome-wide gene-environment interaction study uncovers 162 vitamin D status variants using a precise ambient UVB measure. Nat Commun. 2025;16:10774. https://doi.org/10.1038/s41467-025-65820-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/uvb-gxe-vitamin-d-variants</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-29.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of: (i) construction of the CW-D-UVB exposure metric and study scale; (ii) genome-wide and interaction results for 25OHD; (iii) heritability gradient with UVB; (iv) key genes and pathways (circadian clock, UGT glucuronidation, lipid metabolism); (v) replication across European UKB, LUR<br />- transcript topics: CW-D-UVB environmental exposure measurement; GWAS results for 25OHD (marginal, interaction, joint tests); Gene-environment interactions with UVB; SNP-based heritability gradient across UVB quintiles; Circadian clock genes BMAL1/ARNTL and NPAS2; UGT glucuronidation and lipid metabolism pathways</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CW-D-UVB: cumulative, weighted ambient UVB dose over 135 days prior to sampling<br />- Cohort: 338,977 UK Biobank participants of White British ancestry<br />- Identified 307 independent 25OHD variants; 162 novel variants<br />- SNP-based heritability (h2SNP) increases with ambient UVB: 8.48% in CW-D-UVB Q1 vs 15.56% in Q5; outdoors ≥3h: 11.01%<br />- 20 variants show GxE interaction with UVB exposure; novel interaction at COPB1 and PSMA1; circadian clock genes BMAL1/ARNTL and NPAS2 implicated<br />- Functional annotation: enrichment in lipid metabolism pathways and glucuronidation; liver-tissue enrichment</p>
<p>QC result: Pass.</p>]]>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Shraim R et al., Nat Commun - A GWIS of 338,977 UK Biobank White British participants using a cumulative weighted ambient UVB measure identified 307 independent loci for 25-hydroxyvitamin D, including 162 novel variants. Key terms: vitamin D, gene-environment interaction, ambient UVB, GWAS, circadian rhythm.
 Study Highlights:The study linked a cumulative and weighted ambient UVB (CW-D-UVB) dose from TEMIS to each participant’s residence and blood draw date to model gene-environment interaction on standardized log-transformed 25OHD in 338,977 White British UK Biobank participants. Genome-wide marginal, interaction, and joint tests identified 307 independent variants associated with 25OHD, 162 of which were novel to prior GWAS. SNP-heritability increased across CW-D-UVB quintiles from 8.48% in the lowest to 15.56% in the highest and was higher in participants reporting ≥3 hours outdoors. Functional annotation implicated known vitamin D genes, glucuronidation and lipid metabolism pathways, and circadian clock genes including BMAL1 and NPAS2, with replication showing concordant effect directions in European, LURIC, and ORCADES cohorts
 Conclusion:Incorporating a precise ambient UVB exposure measure increased power to detect genetic effects on vitamin D status and revealed GxE interactions linking vitamin D biology with lipid metabolism and circadian regulation
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Shraim R
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65820-x
 Reference:Shraim R, Timofeeva M, Wyse C, van Geffen J, van Weele M, Romero-Ortuno R, Lopez LM, Pilz S, März W, Fletcher BS, Kleber ME, Wilson JF, Theodoratou E, Dunlop MG, McManus R, Zgaga L. Genome-wide gene-environment interaction study uncovers 162 vitamin D status variants using a precise ambient UVB measure. Nat Commun. 2025;16:10774. https://doi.org/10.1038/s41467-025-65820-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/uvb-gxe-vitamin-d-variants
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-29.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of: (i) construction of the CW-D-UVB exposure metric and study scale; (ii) genome-wide and interaction results for 25OHD; (iii) heritability gradient with UVB; (iv) key genes and pathways (circadian clock, UGT glucuronidation, lipid metabolism); (v) replication across European UKB, LUR- transcript topics: CW-D-UVB environmental exposure measurement; GWAS results for 25OHD (marginal, interaction, joint tests); Gene-environment interactions with UVB; SNP-based heritability gradient across UVB quintiles; Circadian clock genes BMAL1/ARNTL and NPAS2; UGT glucuronidation and lipid metabolism pathways
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CW-D-UVB: cumulative, weighted ambient UVB dose over 135 days prior to sampling- Cohort: 338,977 UK Biobank part...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2307476/c1a-p6xp7-6z8w22o9u66w-ccob4o.png"></itunes:image>
                                                                            <itunes:duration>00:17:41</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2307476/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[242: AAV9-fcMISv2 gene therapy prevents pregnancy in female cats]]>
                </title>
                <pubDate>Sun, 28 Dec 2025 08:35:31 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2306871</guid>
                                    <link>https://basebybase.castos.com/episodes/aav9-fcmisv2-sterilization-cats</link>
                                <description>
                                            <![CDATA[<p>Godin P et al., Nature Communications - A single intramuscular injection of an AAV9 vector encoding feline anti‑Müllerian hormone (fcMISv2) in prepubertal kittens produced sustained supraphysiological AMH, was well tolerated, and prevented breeding‑induced ovulation and pregnancy in adult females. Key terms: gene therapy, anti-Müllerian hormone, feline sterilization, adeno-associated virus, population control.</p>
<p> Study Highlights:<br />Twelve 2–3 month-old kittens received a single IM dose of AAV9-fcMISv2 (low or high dose) or empty AAV9 and were monitored for up to 21 months for females and 10 months for males. Treated animals showed rapid viral clearance, no clinically significant systemic inflammation or growth impairment, and no anti‑AMH antibody response. Females developed sustained elevated AMH, had reduced fecal estrogen and progestogen metabolites, increased circulating LH, lacked luteal phases, displayed altered estrous behavior, and none of the treated females became pregnant during a year-later 4‑month mating trial. Males completed puberty, maintained normal testis development, semen parameters, and in vitro fertilizing capacity, indicating preserved male fertility.</p>
<p> Conclusion:<br />Prepubertal intramuscular delivery of AAV9-fcMISv2 is a safe, durable, female-specific sterilant in domestic cats that prevents breeding-induced ovulation and pregnancy while sparing male reproductive function</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Gene therapy delivery of anti‑Müllerian hormone in prepubertal female domestic cats induces long-term sterilization.</p>
<p> First author:<br />Godin P</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65780-2</p>
<p> Reference:<br />Godin P., Nagykery N., Sicher N., Barnes J. L., Miller A. G., Bunner C., Thompson A. K., Kano M., Gao G., Wang D., Donahoe P. K., Rhodes L., Brake D. A., Conlon T. J., Swanson W. F., Vansandt L. M. &amp; Pépin D. Gene therapy delivery of anti‑Müllerian hormone in prepubertal female domestic cats induces long-term sterilization. Nat Commun. 2025;16:10747. https://doi.org/10.1038/s41467-025-65780-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/aav9-fcmisv2-sterilization-cats</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing vectored contraception, prepubertal kitten treatment, sustained AMH production, safety in both sexes, mating trial outcomes, hormonal and uterine changes, and observed behavioral aspects.<br />- transcript topics: Vectored contraception and AMH target; Prepubertal AAV9-fcMISv2 administration in kittens; Safety and immunogenicity in cats; Durable AMH production and pharmacokinetics; Block of ovulation and absence of luteal phases; Mating trial outcomes and pregnancy prevention</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Prepubertal AAV9-fcMI...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - A single shot, long term contraceptive for cats</li><li>(00:05:29) - The AMH treatment in cats</li><li>(00:07:31) - AMH completely abrogated ovulation in cats</li><li>(00:08:53) - Gene therapy for women's uterine health</li><li>(00:09:31) - African cats: Sterilization by blocking ovulation</li><li>(00:12:53) - Signal to Stillness</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Godin P et al., Nature Communications - A single intramuscular injection of an AAV9 vector encoding feline anti‑Müllerian hormone (fcMISv2) in prepubertal kittens produced sustained supraphysiological AMH, was well tolerated, and prevented breeding‑induced ovulation and pregnancy in adult females. Key terms: gene therapy, anti-Müllerian hormone, feline sterilization, adeno-associated virus, population control.
 Study Highlights:Twelve 2–3 month-old kittens received a single IM dose of AAV9-fcMISv2 (low or high dose) or empty AAV9 and were monitored for up to 21 months for females and 10 months for males. Treated animals showed rapid viral clearance, no clinically significant systemic inflammation or growth impairment, and no anti‑AMH antibody response. Females developed sustained elevated AMH, had reduced fecal estrogen and progestogen metabolites, increased circulating LH, lacked luteal phases, displayed altered estrous behavior, and none of the treated females became pregnant during a year-later 4‑month mating trial. Males completed puberty, maintained normal testis development, semen parameters, and in vitro fertilizing capacity, indicating preserved male fertility.
 Conclusion:Prepubertal intramuscular delivery of AAV9-fcMISv2 is a safe, durable, female-specific sterilant in domestic cats that prevents breeding-induced ovulation and pregnancy while sparing male reproductive function
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Gene therapy delivery of anti‑Müllerian hormone in prepubertal female domestic cats induces long-term sterilization.
 First author:Godin P
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65780-2
 Reference:Godin P., Nagykery N., Sicher N., Barnes J. L., Miller A. G., Bunner C., Thompson A. K., Kano M., Gao G., Wang D., Donahoe P. K., Rhodes L., Brake D. A., Conlon T. J., Swanson W. F., Vansandt L. M. & Pépin D. Gene therapy delivery of anti‑Müllerian hormone in prepubertal female domestic cats induces long-term sterilization. Nat Commun. 2025;16:10747. https://doi.org/10.1038/s41467-025-65780-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/aav9-fcmisv2-sterilization-cats
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing vectored contraception, prepubertal kitten treatment, sustained AMH production, safety in both sexes, mating trial outcomes, hormonal and uterine changes, and observed behavioral aspects.- transcript topics: Vectored contraception and AMH target; Prepubertal AAV9-fcMISv2 administration in kittens; Safety and immunogenicity in cats; Durable AMH production and pharmacokinetics; Block of ovulation and absence of luteal phases; Mating trial outcomes and pregnancy prevention
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Prepubertal AAV9-fcMI...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[242: AAV9-fcMISv2 gene therapy prevents pregnancy in female cats]]>
                </itunes:title>
                                    <itunes:episode>242</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Godin P et al., Nature Communications - A single intramuscular injection of an AAV9 vector encoding feline anti‑Müllerian hormone (fcMISv2) in prepubertal kittens produced sustained supraphysiological AMH, was well tolerated, and prevented breeding‑induced ovulation and pregnancy in adult females. Key terms: gene therapy, anti-Müllerian hormone, feline sterilization, adeno-associated virus, population control.</p>
<p> Study Highlights:<br />Twelve 2–3 month-old kittens received a single IM dose of AAV9-fcMISv2 (low or high dose) or empty AAV9 and were monitored for up to 21 months for females and 10 months for males. Treated animals showed rapid viral clearance, no clinically significant systemic inflammation or growth impairment, and no anti‑AMH antibody response. Females developed sustained elevated AMH, had reduced fecal estrogen and progestogen metabolites, increased circulating LH, lacked luteal phases, displayed altered estrous behavior, and none of the treated females became pregnant during a year-later 4‑month mating trial. Males completed puberty, maintained normal testis development, semen parameters, and in vitro fertilizing capacity, indicating preserved male fertility.</p>
<p> Conclusion:<br />Prepubertal intramuscular delivery of AAV9-fcMISv2 is a safe, durable, female-specific sterilant in domestic cats that prevents breeding-induced ovulation and pregnancy while sparing male reproductive function</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Gene therapy delivery of anti‑Müllerian hormone in prepubertal female domestic cats induces long-term sterilization.</p>
<p> First author:<br />Godin P</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65780-2</p>
<p> Reference:<br />Godin P., Nagykery N., Sicher N., Barnes J. L., Miller A. G., Bunner C., Thompson A. K., Kano M., Gao G., Wang D., Donahoe P. K., Rhodes L., Brake D. A., Conlon T. J., Swanson W. F., Vansandt L. M. &amp; Pépin D. Gene therapy delivery of anti‑Müllerian hormone in prepubertal female domestic cats induces long-term sterilization. Nat Commun. 2025;16:10747. https://doi.org/10.1038/s41467-025-65780-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/aav9-fcmisv2-sterilization-cats</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing vectored contraception, prepubertal kitten treatment, sustained AMH production, safety in both sexes, mating trial outcomes, hormonal and uterine changes, and observed behavioral aspects.<br />- transcript topics: Vectored contraception and AMH target; Prepubertal AAV9-fcMISv2 administration in kittens; Safety and immunogenicity in cats; Durable AMH production and pharmacokinetics; Block of ovulation and absence of luteal phases; Mating trial outcomes and pregnancy prevention</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Prepubertal AAV9-fcMISv2 injection yields sustained supraphysiological AMH production and sterilization in female kittens<br />- Single low- or high-dose intramuscular injection with follow-up up to 21 months in females and ~9–10 months in males<br />- 100% pregnancy prevention in treated females during a mating trial (no pregnancies in treated group vs controls)<br />- No anti-AMH antibodies detected in treated cats<br />- Males show normal puberty, testicular development, and fertility parameters<br />- Treated females exhibit smaller uterine horn diameters post-puberty, suggesting protective effects</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2306871/c1e-0jp63ik09p6i101pm-dm1q785mf21d-ls3nhq.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2306871&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Faav9-fcmisv2-sterilization-cats&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=5bdc3f17a4eb6b09bb6c533b878c9c5fe9c8f7b4cf3c2aec7e3fe27219c56911" length="25580781"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Godin P et al., Nature Communications - A single intramuscular injection of an AAV9 vector encoding feline anti‑Müllerian hormone (fcMISv2) in prepubertal kittens produced sustained supraphysiological AMH, was well tolerated, and prevented breeding‑induced ovulation and pregnancy in adult females. Key terms: gene therapy, anti-Müllerian hormone, feline sterilization, adeno-associated virus, population control.
 Study Highlights:Twelve 2–3 month-old kittens received a single IM dose of AAV9-fcMISv2 (low or high dose) or empty AAV9 and were monitored for up to 21 months for females and 10 months for males. Treated animals showed rapid viral clearance, no clinically significant systemic inflammation or growth impairment, and no anti‑AMH antibody response. Females developed sustained elevated AMH, had reduced fecal estrogen and progestogen metabolites, increased circulating LH, lacked luteal phases, displayed altered estrous behavior, and none of the treated females became pregnant during a year-later 4‑month mating trial. Males completed puberty, maintained normal testis development, semen parameters, and in vitro fertilizing capacity, indicating preserved male fertility.
 Conclusion:Prepubertal intramuscular delivery of AAV9-fcMISv2 is a safe, durable, female-specific sterilant in domestic cats that prevents breeding-induced ovulation and pregnancy while sparing male reproductive function
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Gene therapy delivery of anti‑Müllerian hormone in prepubertal female domestic cats induces long-term sterilization.
 First author:Godin P
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65780-2
 Reference:Godin P., Nagykery N., Sicher N., Barnes J. L., Miller A. G., Bunner C., Thompson A. K., Kano M., Gao G., Wang D., Donahoe P. K., Rhodes L., Brake D. A., Conlon T. J., Swanson W. F., Vansandt L. M. & Pépin D. Gene therapy delivery of anti‑Müllerian hormone in prepubertal female domestic cats induces long-term sterilization. Nat Commun. 2025;16:10747. https://doi.org/10.1038/s41467-025-65780-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/aav9-fcmisv2-sterilization-cats
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing vectored contraception, prepubertal kitten treatment, sustained AMH production, safety in both sexes, mating trial outcomes, hormonal and uterine changes, and observed behavioral aspects.- transcript topics: Vectored contraception and AMH target; Prepubertal AAV9-fcMISv2 administration in kittens; Safety and immunogenicity in cats; Durable AMH production and pharmacokinetics; Block of ovulation and absence of luteal phases; Mating trial outcomes and pregnancy prevention
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Prepubertal AAV9-fcMI...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2306871/c1a-p6xp7-474155kdbd5-jzmwxv.png"></itunes:image>
                                                                            <itunes:duration>00:17:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2306871/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[241: Wagyu T2T reveals a cattle X neocentromere]]>
                </title>
                <pubDate>Sat, 27 Dec 2025 09:17:58 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2306178</guid>
                                    <link>https://basebybase.castos.com/episodes/wagyu-t2t-x-neocentromere</link>
                                <description>
                                            <![CDATA[<p>Pineda PS et al., Nature Communications - A telomere-to-telomere Wagyu assembly uncovers a natural neocentromere on the cattle X formed by inverted repeats and transposable element expansion, adds hundreds of new genes, and improves variant discovery. Key terms: cattle genomics, neocentromere, centromere evolution, telomere-to-telomere, structural variants.</p>
<p> Study Highlights:<br />The UOA_Wagyu_1 haplotype-resolved assembly includes a complete X chromosome and four T2T autosomes, adding 431 Mb relative to the ARS-UCD2.0 reference and annotating 738 new protein-coding genes. The cattle X centromere spans ~12 Mb and is a natural neocentromere composed mainly of highly identical inverted repeats and transposable elements, lacking canonical bovine satellite arrays and showing low CENP-A signal. The BTAX centromere exhibits CpG depletion and elevated TpG consistent with TE expansion followed by methylation and CpG deamination, and all 37 centromeric protein-coding genes are expressed in testes. Using UOA_Wagyu_1_Y increased mapping rates for Wagyu reads and enabled discovery of 49,610 structural variants from 20 animals, revealing Wagyu-specific SV and PAV hotspots overlapping genes enriched for olfactory transduction.</p>
<p> Conclusion:<br />A breed-specific T2T cattle genome reveals a dynamic, TE-rich X neocentromere with testis-expressed genes and substantially improves structural variant discovery for Wagyu populations</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Insights into natural neocentromere evolution from a cattle T2T X chromosome</p>
<p> First author:<br />Pineda PS</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65778-w</p>
<p> Reference:<br />Pineda PS, MacPhillamy C, Ren Y, Chen T, Zhong L, Adelson DL, Dessaix C, Perez-Silva J, Haggerty L, Martin FJ, Bottema CDK, Pitchford WS, Rosen BD, Smith TPL, Low WY. Insights into natural neocentromere evolution from a cattle T2T X chromosome. Nature Communications. 2025;16:10745. https://doi.org/10.1038/s41467-025-65778-w</p>
<p> License:<br />CC BY 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/wagyu-t2t-x-neocentromere</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's core scientific claims as presented in the article, focusing on BTAX assembly, centromere architecture, epigenetics, neocentromere formation, gene content within BTAX, X-Y PAR, and improvements in SV discovery and mapping.<br />- transcript topics: BTAX assembly and haplotype-resolved X chromosome (UOA_Wagyu_1_Y); BTAX centromere structure: inverted repeats and TE content; absence of bovine satellites; Epigenetic features: CENP-A signal, methylation, CpG/TpG dynamics; Two-step model for neocentromere formation: TE expansion followed by CpG deamination; BTAX centromere gene content: 37 centromere genes, 24 newly identified; testes expression; Wagyu SV discovery and improved mapping rates using the Wagyu reference</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- BTAX centromere is a natural neocentromere located o...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Finding the dark matter of cattle genetics</li><li>(00:05:26) - The cattle genome: a mutational puzzle</li><li>(00:10:09) - Strange centromere on the cattle X chromosome</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Pineda PS et al., Nature Communications - A telomere-to-telomere Wagyu assembly uncovers a natural neocentromere on the cattle X formed by inverted repeats and transposable element expansion, adds hundreds of new genes, and improves variant discovery. Key terms: cattle genomics, neocentromere, centromere evolution, telomere-to-telomere, structural variants.
 Study Highlights:The UOA_Wagyu_1 haplotype-resolved assembly includes a complete X chromosome and four T2T autosomes, adding 431 Mb relative to the ARS-UCD2.0 reference and annotating 738 new protein-coding genes. The cattle X centromere spans ~12 Mb and is a natural neocentromere composed mainly of highly identical inverted repeats and transposable elements, lacking canonical bovine satellite arrays and showing low CENP-A signal. The BTAX centromere exhibits CpG depletion and elevated TpG consistent with TE expansion followed by methylation and CpG deamination, and all 37 centromeric protein-coding genes are expressed in testes. Using UOA_Wagyu_1_Y increased mapping rates for Wagyu reads and enabled discovery of 49,610 structural variants from 20 animals, revealing Wagyu-specific SV and PAV hotspots overlapping genes enriched for olfactory transduction.
 Conclusion:A breed-specific T2T cattle genome reveals a dynamic, TE-rich X neocentromere with testis-expressed genes and substantially improves structural variant discovery for Wagyu populations
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Insights into natural neocentromere evolution from a cattle T2T X chromosome
 First author:Pineda PS
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65778-w
 Reference:Pineda PS, MacPhillamy C, Ren Y, Chen T, Zhong L, Adelson DL, Dessaix C, Perez-Silva J, Haggerty L, Martin FJ, Bottema CDK, Pitchford WS, Rosen BD, Smith TPL, Low WY. Insights into natural neocentromere evolution from a cattle T2T X chromosome. Nature Communications. 2025;16:10745. https://doi.org/10.1038/s41467-025-65778-w
 License:CC BY 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/wagyu-t2t-x-neocentromere
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's core scientific claims as presented in the article, focusing on BTAX assembly, centromere architecture, epigenetics, neocentromere formation, gene content within BTAX, X-Y PAR, and improvements in SV discovery and mapping.- transcript topics: BTAX assembly and haplotype-resolved X chromosome (UOA_Wagyu_1_Y); BTAX centromere structure: inverted repeats and TE content; absence of bovine satellites; Epigenetic features: CENP-A signal, methylation, CpG/TpG dynamics; Two-step model for neocentromere formation: TE expansion followed by CpG deamination; BTAX centromere gene content: 37 centromere genes, 24 newly identified; testes expression; Wagyu SV discovery and improved mapping rates using the Wagyu reference
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- BTAX centromere is a natural neocentromere located o...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[241: Wagyu T2T reveals a cattle X neocentromere]]>
                </itunes:title>
                                    <itunes:episode>241</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Pineda PS et al., Nature Communications - A telomere-to-telomere Wagyu assembly uncovers a natural neocentromere on the cattle X formed by inverted repeats and transposable element expansion, adds hundreds of new genes, and improves variant discovery. Key terms: cattle genomics, neocentromere, centromere evolution, telomere-to-telomere, structural variants.</p>
<p> Study Highlights:<br />The UOA_Wagyu_1 haplotype-resolved assembly includes a complete X chromosome and four T2T autosomes, adding 431 Mb relative to the ARS-UCD2.0 reference and annotating 738 new protein-coding genes. The cattle X centromere spans ~12 Mb and is a natural neocentromere composed mainly of highly identical inverted repeats and transposable elements, lacking canonical bovine satellite arrays and showing low CENP-A signal. The BTAX centromere exhibits CpG depletion and elevated TpG consistent with TE expansion followed by methylation and CpG deamination, and all 37 centromeric protein-coding genes are expressed in testes. Using UOA_Wagyu_1_Y increased mapping rates for Wagyu reads and enabled discovery of 49,610 structural variants from 20 animals, revealing Wagyu-specific SV and PAV hotspots overlapping genes enriched for olfactory transduction.</p>
<p> Conclusion:<br />A breed-specific T2T cattle genome reveals a dynamic, TE-rich X neocentromere with testis-expressed genes and substantially improves structural variant discovery for Wagyu populations</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Insights into natural neocentromere evolution from a cattle T2T X chromosome</p>
<p> First author:<br />Pineda PS</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65778-w</p>
<p> Reference:<br />Pineda PS, MacPhillamy C, Ren Y, Chen T, Zhong L, Adelson DL, Dessaix C, Perez-Silva J, Haggerty L, Martin FJ, Bottema CDK, Pitchford WS, Rosen BD, Smith TPL, Low WY. Insights into natural neocentromere evolution from a cattle T2T X chromosome. Nature Communications. 2025;16:10745. https://doi.org/10.1038/s41467-025-65778-w</p>
<p> License:<br />CC BY 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/wagyu-t2t-x-neocentromere</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's core scientific claims as presented in the article, focusing on BTAX assembly, centromere architecture, epigenetics, neocentromere formation, gene content within BTAX, X-Y PAR, and improvements in SV discovery and mapping.<br />- transcript topics: BTAX assembly and haplotype-resolved X chromosome (UOA_Wagyu_1_Y); BTAX centromere structure: inverted repeats and TE content; absence of bovine satellites; Epigenetic features: CENP-A signal, methylation, CpG/TpG dynamics; Two-step model for neocentromere formation: TE expansion followed by CpG deamination; BTAX centromere gene content: 37 centromere genes, 24 newly identified; testes expression; Wagyu SV discovery and improved mapping rates using the Wagyu reference</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- BTAX centromere is a natural neocentromere located on the cattle X chromosome<br />- BTAX centromere consists primarily of highly identical inverted repeats and transposable elements<br />- BTAX centromere lacks bovine satellite repeats<br />- BTAX centromere exhibits low CENP-A signal and CpG depletion with low methylation relative to TpG dinucleotides<br />- Two-step model for neocentromere formation: TE expansion followed by CpG deamination<br />- BTAX contains 37 centromere genes; 24 of these are newly identified; all centromere genes are expressed in testes</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Pineda PS et al., Nature Communications - A telomere-to-telomere Wagyu assembly uncovers a natural neocentromere on the cattle X formed by inverted repeats and transposable element expansion, adds hundreds of new genes, and improves variant discovery. Key terms: cattle genomics, neocentromere, centromere evolution, telomere-to-telomere, structural variants.
 Study Highlights:The UOA_Wagyu_1 haplotype-resolved assembly includes a complete X chromosome and four T2T autosomes, adding 431 Mb relative to the ARS-UCD2.0 reference and annotating 738 new protein-coding genes. The cattle X centromere spans ~12 Mb and is a natural neocentromere composed mainly of highly identical inverted repeats and transposable elements, lacking canonical bovine satellite arrays and showing low CENP-A signal. The BTAX centromere exhibits CpG depletion and elevated TpG consistent with TE expansion followed by methylation and CpG deamination, and all 37 centromeric protein-coding genes are expressed in testes. Using UOA_Wagyu_1_Y increased mapping rates for Wagyu reads and enabled discovery of 49,610 structural variants from 20 animals, revealing Wagyu-specific SV and PAV hotspots overlapping genes enriched for olfactory transduction.
 Conclusion:A breed-specific T2T cattle genome reveals a dynamic, TE-rich X neocentromere with testis-expressed genes and substantially improves structural variant discovery for Wagyu populations
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Insights into natural neocentromere evolution from a cattle T2T X chromosome
 First author:Pineda PS
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65778-w
 Reference:Pineda PS, MacPhillamy C, Ren Y, Chen T, Zhong L, Adelson DL, Dessaix C, Perez-Silva J, Haggerty L, Martin FJ, Bottema CDK, Pitchford WS, Rosen BD, Smith TPL, Low WY. Insights into natural neocentromere evolution from a cattle T2T X chromosome. Nature Communications. 2025;16:10745. https://doi.org/10.1038/s41467-025-65778-w
 License:CC BY 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/wagyu-t2t-x-neocentromere
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's core scientific claims as presented in the article, focusing on BTAX assembly, centromere architecture, epigenetics, neocentromere formation, gene content within BTAX, X-Y PAR, and improvements in SV discovery and mapping.- transcript topics: BTAX assembly and haplotype-resolved X chromosome (UOA_Wagyu_1_Y); BTAX centromere structure: inverted repeats and TE content; absence of bovine satellites; Epigenetic features: CENP-A signal, methylation, CpG/TpG dynamics; Two-step model for neocentromere formation: TE expansion followed by CpG deamination; BTAX centromere gene content: 37 centromere genes, 24 newly identified; testes expression; Wagyu SV discovery and improved mapping rates using the Wagyu reference
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- BTAX centromere is a natural neocentromere located o...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2306178/c1a-p6xp7-rkgdrrzvuw94-n9vxfz.png"></itunes:image>
                                                                            <itunes:duration>00:18:36</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2306178/chapter-data.json"
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                            </item>
                    <item>
                <title>
                    <![CDATA[240: CYFIP1 controls cortical axon development by modulating calcium]]>
                </title>
                <pubDate>Fri, 26 Dec 2025 06:21:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2305361</guid>
                                    <link>https://basebybase.castos.com/episodes/cyfip1-calcium-axon-development</link>
                                <description>
                                            <![CDATA[<p>Ricci C et al., Nature Communications - Reduction of CYFIP1 delays callosal axon growth and arborization by lowering intracellular calcium and impairing mitochondrial function. Key terms: cyfip1, axon development, calcium, mitochondria, callosal connectivity.</p>
<p> Study Highlights:<br />In vivo, Cyfip1+/- mice show delayed callosal axon growth at P5 and reduced axonal branching during P15 arborization that normalizes by P30. Cyfip1+/- cortical neurons have reduced cytosolic and mitochondrial calcium, larger and elongated mitochondria, increased mitochondrial density and motility, and decreased mitochondrial membrane potential and ATP at early stages. CYFIP1 associates with Hu proteins and binds mRNAs encoding Cav alpha-1 subunits (Cacna1c, Cacna1e, Cacna1i), stabilizing those transcripts and maintaining membrane protein levels in developing neurons and axons. Loss of CYFIP1 accelerates decay of these channel mRNAs, leading to reduced Cav protein abundance in axons and lower calcium availability. Restoring intracellular calcium with ionomycin or activating L-type channels (Bay-K-8644, nefiracetam) rescues axonal growth and mitochondrial defects in Cyfip1+/- neurons</p>
<p> Conclusion:<br />CYFIP1 ensures timely cortical callosal development by stabilizing mRNAs for voltage-gated calcium channel subunits to maintain intracellular calcium and mitochondrial function, and its haploinsufficiency may contribute to connectivity deficits linked to neurodevelopmental disorders</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />CYFIP1 governs the development of cortical axons by modulating calcium availability</p>
<p> First author:<br />Ricci C</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65801-0</p>
<p> Reference:<br />Ricci C, Midroit MJ, Caicci F, Achsel T, Domínguez-Iturza N, Bagni C. CYFIP1 governs the development of cortical axons by modulating calcium availability. Nature Communications. 2025;16:10764. https://doi.org/10.1038/s41467-025-65801-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cyfip1-calcium-axon-development</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-26.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript segments covering in vivo axon development timing, calcium homeostasis, mitochondrial changes, CYFIP1-Hu interactions with CaV channel subunit mRNAs, and rescue experiments (ionomycin and VGCC agonists).<br />- transcript topics: CYFIP1 background and 15q11.2 CNVs; CYFIP1 dual roles: WRC actin regulation and translational repression; in vivo IUE and postnatal axon development timing (P5, P15, P30); mitochondrial density, motility, and morphology in Cyfip1+/- axons; intracellular Ca2+ dysregulation and mitochondrial function; CYFIP1 association with Hu proteins and regulation of CaV channel subunit mRNAs (CACNA1C, CACNA1E, CACNA1I)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CYFIP1 haploinsufficiency...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Deep Dive: The brain's dysfunctional wiring</li><li>(00:02:10) - CYFIP1 governs the development of cortical axons by</li><li>(00:07:16) - The bottleneck in MRNA production</li><li>(00:08:03) - CIFIP1 deficiency in neurodevelopmental disorders</li><li>(00:13:06) - CY FIP1 dysregulation in the brain</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ricci C et al., Nature Communications - Reduction of CYFIP1 delays callosal axon growth and arborization by lowering intracellular calcium and impairing mitochondrial function. Key terms: cyfip1, axon development, calcium, mitochondria, callosal connectivity.
 Study Highlights:In vivo, Cyfip1+/- mice show delayed callosal axon growth at P5 and reduced axonal branching during P15 arborization that normalizes by P30. Cyfip1+/- cortical neurons have reduced cytosolic and mitochondrial calcium, larger and elongated mitochondria, increased mitochondrial density and motility, and decreased mitochondrial membrane potential and ATP at early stages. CYFIP1 associates with Hu proteins and binds mRNAs encoding Cav alpha-1 subunits (Cacna1c, Cacna1e, Cacna1i), stabilizing those transcripts and maintaining membrane protein levels in developing neurons and axons. Loss of CYFIP1 accelerates decay of these channel mRNAs, leading to reduced Cav protein abundance in axons and lower calcium availability. Restoring intracellular calcium with ionomycin or activating L-type channels (Bay-K-8644, nefiracetam) rescues axonal growth and mitochondrial defects in Cyfip1+/- neurons
 Conclusion:CYFIP1 ensures timely cortical callosal development by stabilizing mRNAs for voltage-gated calcium channel subunits to maintain intracellular calcium and mitochondrial function, and its haploinsufficiency may contribute to connectivity deficits linked to neurodevelopmental disorders
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:CYFIP1 governs the development of cortical axons by modulating calcium availability
 First author:Ricci C
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65801-0
 Reference:Ricci C, Midroit MJ, Caicci F, Achsel T, Domínguez-Iturza N, Bagni C. CYFIP1 governs the development of cortical axons by modulating calcium availability. Nature Communications. 2025;16:10764. https://doi.org/10.1038/s41467-025-65801-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cyfip1-calcium-axon-development
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-26.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript segments covering in vivo axon development timing, calcium homeostasis, mitochondrial changes, CYFIP1-Hu interactions with CaV channel subunit mRNAs, and rescue experiments (ionomycin and VGCC agonists).- transcript topics: CYFIP1 background and 15q11.2 CNVs; CYFIP1 dual roles: WRC actin regulation and translational repression; in vivo IUE and postnatal axon development timing (P5, P15, P30); mitochondrial density, motility, and morphology in Cyfip1+/- axons; intracellular Ca2+ dysregulation and mitochondrial function; CYFIP1 association with Hu proteins and regulation of CaV channel subunit mRNAs (CACNA1C, CACNA1E, CACNA1I)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CYFIP1 haploinsufficiency...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[240: CYFIP1 controls cortical axon development by modulating calcium]]>
                </itunes:title>
                                    <itunes:episode>240</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ricci C et al., Nature Communications - Reduction of CYFIP1 delays callosal axon growth and arborization by lowering intracellular calcium and impairing mitochondrial function. Key terms: cyfip1, axon development, calcium, mitochondria, callosal connectivity.</p>
<p> Study Highlights:<br />In vivo, Cyfip1+/- mice show delayed callosal axon growth at P5 and reduced axonal branching during P15 arborization that normalizes by P30. Cyfip1+/- cortical neurons have reduced cytosolic and mitochondrial calcium, larger and elongated mitochondria, increased mitochondrial density and motility, and decreased mitochondrial membrane potential and ATP at early stages. CYFIP1 associates with Hu proteins and binds mRNAs encoding Cav alpha-1 subunits (Cacna1c, Cacna1e, Cacna1i), stabilizing those transcripts and maintaining membrane protein levels in developing neurons and axons. Loss of CYFIP1 accelerates decay of these channel mRNAs, leading to reduced Cav protein abundance in axons and lower calcium availability. Restoring intracellular calcium with ionomycin or activating L-type channels (Bay-K-8644, nefiracetam) rescues axonal growth and mitochondrial defects in Cyfip1+/- neurons</p>
<p> Conclusion:<br />CYFIP1 ensures timely cortical callosal development by stabilizing mRNAs for voltage-gated calcium channel subunits to maintain intracellular calcium and mitochondrial function, and its haploinsufficiency may contribute to connectivity deficits linked to neurodevelopmental disorders</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />CYFIP1 governs the development of cortical axons by modulating calcium availability</p>
<p> First author:<br />Ricci C</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65801-0</p>
<p> Reference:<br />Ricci C, Midroit MJ, Caicci F, Achsel T, Domínguez-Iturza N, Bagni C. CYFIP1 governs the development of cortical axons by modulating calcium availability. Nature Communications. 2025;16:10764. https://doi.org/10.1038/s41467-025-65801-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cyfip1-calcium-axon-development</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-26.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript segments covering in vivo axon development timing, calcium homeostasis, mitochondrial changes, CYFIP1-Hu interactions with CaV channel subunit mRNAs, and rescue experiments (ionomycin and VGCC agonists).<br />- transcript topics: CYFIP1 background and 15q11.2 CNVs; CYFIP1 dual roles: WRC actin regulation and translational repression; in vivo IUE and postnatal axon development timing (P5, P15, P30); mitochondrial density, motility, and morphology in Cyfip1+/- axons; intracellular Ca2+ dysregulation and mitochondrial function; CYFIP1 association with Hu proteins and regulation of CaV channel subunit mRNAs (CACNA1C, CACNA1E, CACNA1I)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CYFIP1 haploinsufficiency delays callosal axon growth and arborization in vivo with normalization by P30<br />- Cyfip1+/- cortical axons show reduced cytosolic/axo-plasmic Ca2+ and altered mitochondrial function (density, motility, membrane potential, ATP at early stages)<br />- CYFIP1 binds and stabilizes mRNA of CaV channel subunits CACNA1C, CACNA1E, CACNA1I via Hu proteins, affecting axonal calcium entry<br />- CaV channel subunits (CaV1.2 CACNA1C, CaV2.3 CACNA1E, CaV3.3 CACNA1I) are reduced in membrane fractions at DIV3 in Cyfip1+/- neurons; later stages show normalization<br />- mRNA levels of CACNA1E and CACNA1I are significantly reduced in Cyfip1+/- neurons; CACNA1C shows a non-significant downward trend<br />- Ionomycin and VGCC agonists Bay-K-8644 and Nefiracetam rescue delayed axonal growth and mitochondrial defects</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Ricci C et al., Nature Communications - Reduction of CYFIP1 delays callosal axon growth and arborization by lowering intracellular calcium and impairing mitochondrial function. Key terms: cyfip1, axon development, calcium, mitochondria, callosal connectivity.
 Study Highlights:In vivo, Cyfip1+/- mice show delayed callosal axon growth at P5 and reduced axonal branching during P15 arborization that normalizes by P30. Cyfip1+/- cortical neurons have reduced cytosolic and mitochondrial calcium, larger and elongated mitochondria, increased mitochondrial density and motility, and decreased mitochondrial membrane potential and ATP at early stages. CYFIP1 associates with Hu proteins and binds mRNAs encoding Cav alpha-1 subunits (Cacna1c, Cacna1e, Cacna1i), stabilizing those transcripts and maintaining membrane protein levels in developing neurons and axons. Loss of CYFIP1 accelerates decay of these channel mRNAs, leading to reduced Cav protein abundance in axons and lower calcium availability. Restoring intracellular calcium with ionomycin or activating L-type channels (Bay-K-8644, nefiracetam) rescues axonal growth and mitochondrial defects in Cyfip1+/- neurons
 Conclusion:CYFIP1 ensures timely cortical callosal development by stabilizing mRNAs for voltage-gated calcium channel subunits to maintain intracellular calcium and mitochondrial function, and its haploinsufficiency may contribute to connectivity deficits linked to neurodevelopmental disorders
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:CYFIP1 governs the development of cortical axons by modulating calcium availability
 First author:Ricci C
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65801-0
 Reference:Ricci C, Midroit MJ, Caicci F, Achsel T, Domínguez-Iturza N, Bagni C. CYFIP1 governs the development of cortical axons by modulating calcium availability. Nature Communications. 2025;16:10764. https://doi.org/10.1038/s41467-025-65801-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cyfip1-calcium-axon-development
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-26.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript segments covering in vivo axon development timing, calcium homeostasis, mitochondrial changes, CYFIP1-Hu interactions with CaV channel subunit mRNAs, and rescue experiments (ionomycin and VGCC agonists).- transcript topics: CYFIP1 background and 15q11.2 CNVs; CYFIP1 dual roles: WRC actin regulation and translational repression; in vivo IUE and postnatal axon development timing (P5, P15, P30); mitochondrial density, motility, and morphology in Cyfip1+/- axons; intracellular Ca2+ dysregulation and mitochondrial function; CYFIP1 association with Hu proteins and regulation of CaV channel subunit mRNAs (CACNA1C, CACNA1E, CACNA1I)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CYFIP1 haploinsufficiency...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2305361/c1a-p6xp7-xxk822w6sdqp-jxgnf3.png"></itunes:image>
                                                                            <itunes:duration>00:18:46</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[239: Genomic Adaptations of the Svalbard Reindeer]]>
                </title>
                <pubDate>Thu, 25 Dec 2025 10:33:35 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2304886</guid>
                                    <link>https://basebybase.castos.com/episodes/svalbard-reindeer-genomics</link>
                                <description>
                                            <![CDATA[<p>Genome Biology and Evolution - The Genomic Basis of the Svalbard Reindeer’s Adaptation to an Extreme Arctic Environment</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The Genomic Basis of the Svalbard Reindeer’s Adaptation to an Extreme Arctic Environment</p>
<p> Journal:<br />Genome Biology and Evolution</p>
<p> DOI:<br />10.1093/gbe/evaf160</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing bottleneck/island colonization, PBS-based selection signals, SNPeff-derived variants, CNVs/structural variation, energy metabolism and fasting adaptations, circadian rhythm and vision adaptations, insulation/morphology (dwarfism), and discussed limitations/future directions.<br />- transcript topics: Population bottleneck and island colonization; PBS-based selection signals and outliers; SNPeff high- and moderate-impact variants; Copy number variation (CNV) and structural variation; Energy metabolism and fat storage; Leptin signaling and insulin resistance</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Svalbard reindeer originated from a founder population likely fewer than 100 individuals around 7000 years ago.<br />- 62 reindeer genomes were sequenced, with populations from Svalbard, mainland Norway, mainland Russia, and Novaya Zemlya used for comparison.<br />- Population Branch Statistic (PBS) identified around 75 outlier regions under selection.<br />- SNPeff annotated variants yielded 1 high-impact and 54 moderate-impact variants within 44 genes.<br />- Copy number variation (CNV) analysis identified 124 differentiating CNVs; including 4 deletions and 10 duplications overlapping genes; large deletions (&gt;500 bp) fixed in Svalbard.<br />- Overall, 150 genomic regions under putative selection were identified; ~120 of these correspond to annotated genes.</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - How do animals evolve to survive in the Arctic?</li><li>(00:04:09) - How did the Svalbard reindeer evolve so quickly?</li><li>(00:09:24) - Adaptation to cold and fat</li><li>(00:11:10) - The story of the Svalbard Reindeer</li><li>(00:15:41) - Winter Songs for Creatures</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Genome Biology and Evolution - The Genomic Basis of the Svalbard Reindeer’s Adaptation to an Extreme Arctic Environment
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The Genomic Basis of the Svalbard Reindeer’s Adaptation to an Extreme Arctic Environment
 Journal:Genome Biology and Evolution
 DOI:10.1093/gbe/evaf160
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing bottleneck/island colonization, PBS-based selection signals, SNPeff-derived variants, CNVs/structural variation, energy metabolism and fasting adaptations, circadian rhythm and vision adaptations, insulation/morphology (dwarfism), and discussed limitations/future directions.- transcript topics: Population bottleneck and island colonization; PBS-based selection signals and outliers; SNPeff high- and moderate-impact variants; Copy number variation (CNV) and structural variation; Energy metabolism and fat storage; Leptin signaling and insulin resistance
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Svalbard reindeer originated from a founder population likely fewer than 100 individuals around 7000 years ago.- 62 reindeer genomes were sequenced, with populations from Svalbard, mainland Norway, mainland Russia, and Novaya Zemlya used for comparison.- Population Branch Statistic (PBS) identified around 75 outlier regions under selection.- SNPeff annotated variants yielded 1 high-impact and 54 moderate-impact variants within 44 genes.- Copy number variation (CNV) analysis identified 124 differentiating CNVs; including 4 deletions and 10 duplications overlapping genes; large deletions (>500 bp) fixed in Svalbard.- Overall, 150 genomic regions under putative selection were identified; ~120 of these correspond to annotated genes.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[239: Genomic Adaptations of the Svalbard Reindeer]]>
                </itunes:title>
                                    <itunes:episode>239</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Genome Biology and Evolution - The Genomic Basis of the Svalbard Reindeer’s Adaptation to an Extreme Arctic Environment</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The Genomic Basis of the Svalbard Reindeer’s Adaptation to an Extreme Arctic Environment</p>
<p> Journal:<br />Genome Biology and Evolution</p>
<p> DOI:<br />10.1093/gbe/evaf160</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing bottleneck/island colonization, PBS-based selection signals, SNPeff-derived variants, CNVs/structural variation, energy metabolism and fasting adaptations, circadian rhythm and vision adaptations, insulation/morphology (dwarfism), and discussed limitations/future directions.<br />- transcript topics: Population bottleneck and island colonization; PBS-based selection signals and outliers; SNPeff high- and moderate-impact variants; Copy number variation (CNV) and structural variation; Energy metabolism and fat storage; Leptin signaling and insulin resistance</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Svalbard reindeer originated from a founder population likely fewer than 100 individuals around 7000 years ago.<br />- 62 reindeer genomes were sequenced, with populations from Svalbard, mainland Norway, mainland Russia, and Novaya Zemlya used for comparison.<br />- Population Branch Statistic (PBS) identified around 75 outlier regions under selection.<br />- SNPeff annotated variants yielded 1 high-impact and 54 moderate-impact variants within 44 genes.<br />- Copy number variation (CNV) analysis identified 124 differentiating CNVs; including 4 deletions and 10 duplications overlapping genes; large deletions (&gt;500 bp) fixed in Svalbard.<br />- Overall, 150 genomic regions under putative selection were identified; ~120 of these correspond to annotated genes.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Genome Biology and Evolution - The Genomic Basis of the Svalbard Reindeer’s Adaptation to an Extreme Arctic Environment
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The Genomic Basis of the Svalbard Reindeer’s Adaptation to an Extreme Arctic Environment
 Journal:Genome Biology and Evolution
 DOI:10.1093/gbe/evaf160
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing bottleneck/island colonization, PBS-based selection signals, SNPeff-derived variants, CNVs/structural variation, energy metabolism and fasting adaptations, circadian rhythm and vision adaptations, insulation/morphology (dwarfism), and discussed limitations/future directions.- transcript topics: Population bottleneck and island colonization; PBS-based selection signals and outliers; SNPeff high- and moderate-impact variants; Copy number variation (CNV) and structural variation; Energy metabolism and fat storage; Leptin signaling and insulin resistance
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Svalbard reindeer originated from a founder population likely fewer than 100 individuals around 7000 years ago.- 62 reindeer genomes were sequenced, with populations from Svalbard, mainland Norway, mainland Russia, and Novaya Zemlya used for comparison.- Population Branch Statistic (PBS) identified around 75 outlier regions under selection.- SNPeff annotated variants yielded 1 high-impact and 54 moderate-impact variants within 44 genes.- Copy number variation (CNV) analysis identified 124 differentiating CNVs; including 4 deletions and 10 duplications overlapping genes; large deletions (>500 bp) fixed in Svalbard.- Overall, 150 genomic regions under putative selection were identified; ~120 of these correspond to annotated genes.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2304886/c1a-p6xp7-qdp499wpsn7-dbvtgi.png"></itunes:image>
                                                                            <itunes:duration>00:19:21</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2304886/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[238: Germline polymorphisms shape antibody light chain repertoires]]>
                </title>
                <pubDate>Wed, 24 Dec 2025 08:16:59 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2304150</guid>
                                    <link>https://basebybase.castos.com/episodes/ig-light-chain-variation</link>
                                <description>
                                            <![CDATA[<p>Engelbrecht E et al., Nat Commun - Long-read sequencing of IGK and IGL paired with AIRR-seq shows that common germline SNVs, SVs, and alleles drive inter-individual differences in light chain gene usage and CDR3 properties. Key terms: immunoglobulin-kappa, immunoglobulin-lambda, germline-variation, antibody-repertoire, long-read-sequencing.</p>
<p> Study Highlights:<br />The authors combined targeted long-read genomic sequencing of IGK and IGL in 177 donors with matched AIRR-seq (IGK n=164, IGL n=168) to generate phased SNV, SV, and allele callsets and personalized germline databases. Cis guQTL analysis identified 2,352 variants in the unmutated IGK repertoire linked to usage changes in 21 IGKV and 3 IGKJ genes, and 911 variants in IGL linked to 22 IGLV and 3 IGLJ genes, indicating germline variation affects &gt;70% of light chain genes. Lead variants mapped to intergenic regions, RSSs, coding exons and structural variants, with examples including a premature stop in IGKV2-29, a K50D missense in IGKV1-5, RSS spacer changes in IGLV3-16, and copy-number SVs that alter gene usage. Genetic effects were stronger in the antigen-naïve repertoire, associated with shifts in encoded V/J alleles and CDR3 physicochemical properties, and IGK exhibited larger LD blocks and coordinated multi-gene usage compared with IGL.</p>
<p> Conclusion:<br />Germline polymorphisms across IGK and IGL establish reproducible baseline differences in light chain gene availability and amino acid composition that likely influence antibody-mediated responses.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Germline polymorphisms in the immunoglobulin kappa and lambda loci underpinning antibody light chain repertoire variability</p>
<p> First author:<br />Engelbrecht E</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-66759-9</p>
<p> Reference:<br />Engelbrecht E, Rodriguez OL, Lees W, Vanwinkle Z, Shields K, Schultze S, Gibson WS, Smith DR, Jana U, Saha S, Peres A, Yaari G, Smith ML, Watson CT. Germline polymorphisms in the immunoglobulin kappa and lambda loci underpinning antibody light chain repertoire variability. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66759-9</p>
<p> License:<br />CC BY 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ig-light-chain-variation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific narrative describing targeted SMRT sequencing of IGK/IGL loci, creation of personalized germline references, guQTL mapping linking variants to gene usage, variant mechanisms (coding, RSS, CNV), LD architecture differences, CDR3 physicochemical properties, and naive vs. antigen-experienced re<br />- transcript topics: IGK vs IGL locus architecture and diversity; SMRT long-read sequencing and personalized germline references; guQTL mapping and gene usage in IGK/IGL; Coding variants: IGKV2-29 stop codon; Coding variants: IGKV1-5 K50D; Regulatory variants: RSS spacers (IGLV3-16)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Long-read SMRT sequencing of IGK and IGL...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - How your genetic blueprint shapes your immunity</li><li>(00:01:38) - Personal genetics of the human genome</li><li>(00:05:13) - What Did Genomic Personalization Reveal About the Immunity</li><li>(00:08:21) - How genetic variation affects the way your body recognizes molecules</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Engelbrecht E et al., Nat Commun - Long-read sequencing of IGK and IGL paired with AIRR-seq shows that common germline SNVs, SVs, and alleles drive inter-individual differences in light chain gene usage and CDR3 properties. Key terms: immunoglobulin-kappa, immunoglobulin-lambda, germline-variation, antibody-repertoire, long-read-sequencing.
 Study Highlights:The authors combined targeted long-read genomic sequencing of IGK and IGL in 177 donors with matched AIRR-seq (IGK n=164, IGL n=168) to generate phased SNV, SV, and allele callsets and personalized germline databases. Cis guQTL analysis identified 2,352 variants in the unmutated IGK repertoire linked to usage changes in 21 IGKV and 3 IGKJ genes, and 911 variants in IGL linked to 22 IGLV and 3 IGLJ genes, indicating germline variation affects >70% of light chain genes. Lead variants mapped to intergenic regions, RSSs, coding exons and structural variants, with examples including a premature stop in IGKV2-29, a K50D missense in IGKV1-5, RSS spacer changes in IGLV3-16, and copy-number SVs that alter gene usage. Genetic effects were stronger in the antigen-naïve repertoire, associated with shifts in encoded V/J alleles and CDR3 physicochemical properties, and IGK exhibited larger LD blocks and coordinated multi-gene usage compared with IGL.
 Conclusion:Germline polymorphisms across IGK and IGL establish reproducible baseline differences in light chain gene availability and amino acid composition that likely influence antibody-mediated responses.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Germline polymorphisms in the immunoglobulin kappa and lambda loci underpinning antibody light chain repertoire variability
 First author:Engelbrecht E
 Journal:Nat Commun
 DOI:10.1038/s41467-025-66759-9
 Reference:Engelbrecht E, Rodriguez OL, Lees W, Vanwinkle Z, Shields K, Schultze S, Gibson WS, Smith DR, Jana U, Saha S, Peres A, Yaari G, Smith ML, Watson CT. Germline polymorphisms in the immunoglobulin kappa and lambda loci underpinning antibody light chain repertoire variability. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66759-9
 License:CC BY 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ig-light-chain-variation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific narrative describing targeted SMRT sequencing of IGK/IGL loci, creation of personalized germline references, guQTL mapping linking variants to gene usage, variant mechanisms (coding, RSS, CNV), LD architecture differences, CDR3 physicochemical properties, and naive vs. antigen-experienced re- transcript topics: IGK vs IGL locus architecture and diversity; SMRT long-read sequencing and personalized germline references; guQTL mapping and gene usage in IGK/IGL; Coding variants: IGKV2-29 stop codon; Coding variants: IGKV1-5 K50D; Regulatory variants: RSS spacers (IGLV3-16)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Long-read SMRT sequencing of IGK and IGL...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[238: Germline polymorphisms shape antibody light chain repertoires]]>
                </itunes:title>
                                    <itunes:episode>238</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Engelbrecht E et al., Nat Commun - Long-read sequencing of IGK and IGL paired with AIRR-seq shows that common germline SNVs, SVs, and alleles drive inter-individual differences in light chain gene usage and CDR3 properties. Key terms: immunoglobulin-kappa, immunoglobulin-lambda, germline-variation, antibody-repertoire, long-read-sequencing.</p>
<p> Study Highlights:<br />The authors combined targeted long-read genomic sequencing of IGK and IGL in 177 donors with matched AIRR-seq (IGK n=164, IGL n=168) to generate phased SNV, SV, and allele callsets and personalized germline databases. Cis guQTL analysis identified 2,352 variants in the unmutated IGK repertoire linked to usage changes in 21 IGKV and 3 IGKJ genes, and 911 variants in IGL linked to 22 IGLV and 3 IGLJ genes, indicating germline variation affects &gt;70% of light chain genes. Lead variants mapped to intergenic regions, RSSs, coding exons and structural variants, with examples including a premature stop in IGKV2-29, a K50D missense in IGKV1-5, RSS spacer changes in IGLV3-16, and copy-number SVs that alter gene usage. Genetic effects were stronger in the antigen-naïve repertoire, associated with shifts in encoded V/J alleles and CDR3 physicochemical properties, and IGK exhibited larger LD blocks and coordinated multi-gene usage compared with IGL.</p>
<p> Conclusion:<br />Germline polymorphisms across IGK and IGL establish reproducible baseline differences in light chain gene availability and amino acid composition that likely influence antibody-mediated responses.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Germline polymorphisms in the immunoglobulin kappa and lambda loci underpinning antibody light chain repertoire variability</p>
<p> First author:<br />Engelbrecht E</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-66759-9</p>
<p> Reference:<br />Engelbrecht E, Rodriguez OL, Lees W, Vanwinkle Z, Shields K, Schultze S, Gibson WS, Smith DR, Jana U, Saha S, Peres A, Yaari G, Smith ML, Watson CT. Germline polymorphisms in the immunoglobulin kappa and lambda loci underpinning antibody light chain repertoire variability. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66759-9</p>
<p> License:<br />CC BY 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ig-light-chain-variation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific narrative describing targeted SMRT sequencing of IGK/IGL loci, creation of personalized germline references, guQTL mapping linking variants to gene usage, variant mechanisms (coding, RSS, CNV), LD architecture differences, CDR3 physicochemical properties, and naive vs. antigen-experienced re<br />- transcript topics: IGK vs IGL locus architecture and diversity; SMRT long-read sequencing and personalized germline references; guQTL mapping and gene usage in IGK/IGL; Coding variants: IGKV2-29 stop codon; Coding variants: IGKV1-5 K50D; Regulatory variants: RSS spacers (IGLV3-16)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Long-read SMRT sequencing of IGK and IGL across 177 individuals with matched AIRR-seq (IGK n=164, IGL n=168).<br />- Personalized germline reference maps built for each individual to map expressed repertoires.<br />- &gt;70% of light chain gene usage variation is explained by germline guQTLs in IGK/IGL.<br />- Lead variants include IGKV2-29 premature stop codon; IGKV1-5 K50D missense; RSS spacer variants in IGLV3-16; CNVs IGKV1-NL1, IGKV1-D-8, IGLV5-39.<br />- CDR3 aromaticity and aliphaticity are influenced by germline variants (guQTL-linked effects).<br />- IGK exhibits larger LD blocks and coordinated multi-gene usage; IGL shows smaller LD blocks and more independent usage.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Engelbrecht E et al., Nat Commun - Long-read sequencing of IGK and IGL paired with AIRR-seq shows that common germline SNVs, SVs, and alleles drive inter-individual differences in light chain gene usage and CDR3 properties. Key terms: immunoglobulin-kappa, immunoglobulin-lambda, germline-variation, antibody-repertoire, long-read-sequencing.
 Study Highlights:The authors combined targeted long-read genomic sequencing of IGK and IGL in 177 donors with matched AIRR-seq (IGK n=164, IGL n=168) to generate phased SNV, SV, and allele callsets and personalized germline databases. Cis guQTL analysis identified 2,352 variants in the unmutated IGK repertoire linked to usage changes in 21 IGKV and 3 IGKJ genes, and 911 variants in IGL linked to 22 IGLV and 3 IGLJ genes, indicating germline variation affects >70% of light chain genes. Lead variants mapped to intergenic regions, RSSs, coding exons and structural variants, with examples including a premature stop in IGKV2-29, a K50D missense in IGKV1-5, RSS spacer changes in IGLV3-16, and copy-number SVs that alter gene usage. Genetic effects were stronger in the antigen-naïve repertoire, associated with shifts in encoded V/J alleles and CDR3 physicochemical properties, and IGK exhibited larger LD blocks and coordinated multi-gene usage compared with IGL.
 Conclusion:Germline polymorphisms across IGK and IGL establish reproducible baseline differences in light chain gene availability and amino acid composition that likely influence antibody-mediated responses.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Germline polymorphisms in the immunoglobulin kappa and lambda loci underpinning antibody light chain repertoire variability
 First author:Engelbrecht E
 Journal:Nat Commun
 DOI:10.1038/s41467-025-66759-9
 Reference:Engelbrecht E, Rodriguez OL, Lees W, Vanwinkle Z, Shields K, Schultze S, Gibson WS, Smith DR, Jana U, Saha S, Peres A, Yaari G, Smith ML, Watson CT. Germline polymorphisms in the immunoglobulin kappa and lambda loci underpinning antibody light chain repertoire variability. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66759-9
 License:CC BY 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ig-light-chain-variation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific narrative describing targeted SMRT sequencing of IGK/IGL loci, creation of personalized germline references, guQTL mapping linking variants to gene usage, variant mechanisms (coding, RSS, CNV), LD architecture differences, CDR3 physicochemical properties, and naive vs. antigen-experienced re- transcript topics: IGK vs IGL locus architecture and diversity; SMRT long-read sequencing and personalized germline references; guQTL mapping and gene usage in IGK/IGL; Coding variants: IGKV2-29 stop codon; Coding variants: IGKV1-5 K50D; Regulatory variants: RSS spacers (IGLV3-16)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Long-read SMRT sequencing of IGK and IGL...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:18:14</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[237: Tracing enteric pathogens in Africa with metagenomics and WGS]]>
                </title>
                <pubDate>Tue, 23 Dec 2025 05:49:06 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2302821</guid>
                                    <link>https://basebybase.castos.com/episodes/metagenomics-wgs-africa</link>
                                <description>
                                            <![CDATA[<p>Thystrup C et al., Nat Commun (2025) - This study combines whole-genome sequencing and metagenomics to map the diversity, abundance, and genomic relationships of enteric foodborne pathogens across human, animal, food and environmental samples in four African LMICs. Key terms: metagenomics, whole-genome sequencing, foodborne pathogens, one-health, surveillance.</p>
<p> Study Highlights:<br />The project sampled 3,417 items across Ethiopia, Mozambique, Nigeria and Tanzania between 2019 and 2023 and applied culture-based WGS and metagenomic sequencing. Of 446 recovered isolates, 380 high-quality genomes were analyzed (207 E. coli, 138 Salmonella spp., 24 Campylobacter spp., 11 Shigella spp.), and 139 metagenomes passed QC for community profiling. Pathogen distributions were geographically stable over time, with genomic clustering showing closely related isolates across distinct sources consistent with potential transmission routes. Metagenomics revealed dominant genera such as Escherichia, Enterococcus and Bifidobacterium, recovered 13 high-quality MAGs (12 E. coli, 1 Campylobacter), and provided complementary population-level insights though MAGs rarely reached strain-level identity with cultured isolates.</p>
<p> Conclusion:<br />Combining targeted environmental and food-chain sampling with WGS and metagenomic sequencing strengthens surveillance and source-tracing of foodborne enteric pathogens in resource-limited African settings</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Using metagenomics and whole-genome sequencing to characterize enteric pathogens across various sources in Africa</p>
<p> First author:<br />Thystrup C</p>
<p> Journal:<br />Nat Commun (2025)</p>
<p> DOI:<br />10.1038/s41467-025-66400-9</p>
<p> Reference:<br />Thystrup C, Gobena T, Salvador EM, Fayemi OE, Kumburu H, Buys EM, Gichure J, Moiane BT, Belina D, Hugho EA, Faife S, Ogunbiyi TS, Akanni G, Ayolabi CI, Mmbaga B, Thomas KM, Pires SM, Njage PMK, Hald T. Using metagenomics and whole-genome sequencing to characterize enteric pathogens across various sources in Africa. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66400-9</p>
<p> License:<br />CC BY 4.0 International License (CC BY 4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/metagenomics-wgs-africa</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-23.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s discussion of study design (WGS vs metagenomics), multicountry sampling, major pathogen findings (E. coli, Salmonella, Campylobacter, Shigella), STs (ST131, ST38, ST1208), MAGs and their concordance with culture data, temporal sewage trends (2021), and limitations (database bias, AMR on plasmid<br />- transcript topics: WGS vs metagenomics methodological comparison; FOCAL project sampling across four African LMICs; Pathogen diversity across human, animal, food, and environmental reservoirs; E. coli typing (ST131, ST38) and Salmonella typing (ST1208); MAGs and culture-independent surveillance; Temporal trends in sewage pathogen burden (2021 spike)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 3,417 samples coll...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Meeting the challenges of diarrheal disease tracking</li><li>(00:05:52) - WGS findings on diarrheal disease</li><li>(00:06:53) - E. Coli, Salmonella</li><li>(00:08:01) - The wide angle lens of metagenomic science</li><li>(00:13:19) - Getting it out there: pathogens in our water</li><li>(00:14:25) - Follow the Signal</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Thystrup C et al., Nat Commun (2025) - This study combines whole-genome sequencing and metagenomics to map the diversity, abundance, and genomic relationships of enteric foodborne pathogens across human, animal, food and environmental samples in four African LMICs. Key terms: metagenomics, whole-genome sequencing, foodborne pathogens, one-health, surveillance.
 Study Highlights:The project sampled 3,417 items across Ethiopia, Mozambique, Nigeria and Tanzania between 2019 and 2023 and applied culture-based WGS and metagenomic sequencing. Of 446 recovered isolates, 380 high-quality genomes were analyzed (207 E. coli, 138 Salmonella spp., 24 Campylobacter spp., 11 Shigella spp.), and 139 metagenomes passed QC for community profiling. Pathogen distributions were geographically stable over time, with genomic clustering showing closely related isolates across distinct sources consistent with potential transmission routes. Metagenomics revealed dominant genera such as Escherichia, Enterococcus and Bifidobacterium, recovered 13 high-quality MAGs (12 E. coli, 1 Campylobacter), and provided complementary population-level insights though MAGs rarely reached strain-level identity with cultured isolates.
 Conclusion:Combining targeted environmental and food-chain sampling with WGS and metagenomic sequencing strengthens surveillance and source-tracing of foodborne enteric pathogens in resource-limited African settings
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Using metagenomics and whole-genome sequencing to characterize enteric pathogens across various sources in Africa
 First author:Thystrup C
 Journal:Nat Commun (2025)
 DOI:10.1038/s41467-025-66400-9
 Reference:Thystrup C, Gobena T, Salvador EM, Fayemi OE, Kumburu H, Buys EM, Gichure J, Moiane BT, Belina D, Hugho EA, Faife S, Ogunbiyi TS, Akanni G, Ayolabi CI, Mmbaga B, Thomas KM, Pires SM, Njage PMK, Hald T. Using metagenomics and whole-genome sequencing to characterize enteric pathogens across various sources in Africa. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66400-9
 License:CC BY 4.0 International License (CC BY 4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/metagenomics-wgs-africa
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-23.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s discussion of study design (WGS vs metagenomics), multicountry sampling, major pathogen findings (E. coli, Salmonella, Campylobacter, Shigella), STs (ST131, ST38, ST1208), MAGs and their concordance with culture data, temporal sewage trends (2021), and limitations (database bias, AMR on plasmid- transcript topics: WGS vs metagenomics methodological comparison; FOCAL project sampling across four African LMICs; Pathogen diversity across human, animal, food, and environmental reservoirs; E. coli typing (ST131, ST38) and Salmonella typing (ST1208); MAGs and culture-independent surveillance; Temporal trends in sewage pathogen burden (2021 spike)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 3,417 samples coll...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[237: Tracing enteric pathogens in Africa with metagenomics and WGS]]>
                </itunes:title>
                                    <itunes:episode>237</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Thystrup C et al., Nat Commun (2025) - This study combines whole-genome sequencing and metagenomics to map the diversity, abundance, and genomic relationships of enteric foodborne pathogens across human, animal, food and environmental samples in four African LMICs. Key terms: metagenomics, whole-genome sequencing, foodborne pathogens, one-health, surveillance.</p>
<p> Study Highlights:<br />The project sampled 3,417 items across Ethiopia, Mozambique, Nigeria and Tanzania between 2019 and 2023 and applied culture-based WGS and metagenomic sequencing. Of 446 recovered isolates, 380 high-quality genomes were analyzed (207 E. coli, 138 Salmonella spp., 24 Campylobacter spp., 11 Shigella spp.), and 139 metagenomes passed QC for community profiling. Pathogen distributions were geographically stable over time, with genomic clustering showing closely related isolates across distinct sources consistent with potential transmission routes. Metagenomics revealed dominant genera such as Escherichia, Enterococcus and Bifidobacterium, recovered 13 high-quality MAGs (12 E. coli, 1 Campylobacter), and provided complementary population-level insights though MAGs rarely reached strain-level identity with cultured isolates.</p>
<p> Conclusion:<br />Combining targeted environmental and food-chain sampling with WGS and metagenomic sequencing strengthens surveillance and source-tracing of foodborne enteric pathogens in resource-limited African settings</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Using metagenomics and whole-genome sequencing to characterize enteric pathogens across various sources in Africa</p>
<p> First author:<br />Thystrup C</p>
<p> Journal:<br />Nat Commun (2025)</p>
<p> DOI:<br />10.1038/s41467-025-66400-9</p>
<p> Reference:<br />Thystrup C, Gobena T, Salvador EM, Fayemi OE, Kumburu H, Buys EM, Gichure J, Moiane BT, Belina D, Hugho EA, Faife S, Ogunbiyi TS, Akanni G, Ayolabi CI, Mmbaga B, Thomas KM, Pires SM, Njage PMK, Hald T. Using metagenomics and whole-genome sequencing to characterize enteric pathogens across various sources in Africa. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66400-9</p>
<p> License:<br />CC BY 4.0 International License (CC BY 4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/metagenomics-wgs-africa</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-23.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s discussion of study design (WGS vs metagenomics), multicountry sampling, major pathogen findings (E. coli, Salmonella, Campylobacter, Shigella), STs (ST131, ST38, ST1208), MAGs and their concordance with culture data, temporal sewage trends (2021), and limitations (database bias, AMR on plasmid<br />- transcript topics: WGS vs metagenomics methodological comparison; FOCAL project sampling across four African LMICs; Pathogen diversity across human, animal, food, and environmental reservoirs; E. coli typing (ST131, ST38) and Salmonella typing (ST1208); MAGs and culture-independent surveillance; Temporal trends in sewage pathogen burden (2021 spike)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 3,417 samples collected from 24 sources across four African LMICs (Ethiopia, Nigeria, Mozambique, Tanzania).<br />- 446 bacterial isolates recovered; 380 high-quality genomes subjected to downstream analyses.<br />- 168 metagenomic samples collected; 139 metagenomic samples passed quality control and were analyzed.<br />- 13 high-quality MAGs recovered (12 Escherichia coli and 1 Campylobacter).<br />- E. coli ST131 and ST38 detected across multiple countries/sources; Salmonella ST1208 identified as dominant lineage.<br />- Temporal sewage data show a notable increase in total FBD pathogen burden in 2021, temporally aligned with the COVID-19 pandemic.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Thystrup C et al., Nat Commun (2025) - This study combines whole-genome sequencing and metagenomics to map the diversity, abundance, and genomic relationships of enteric foodborne pathogens across human, animal, food and environmental samples in four African LMICs. Key terms: metagenomics, whole-genome sequencing, foodborne pathogens, one-health, surveillance.
 Study Highlights:The project sampled 3,417 items across Ethiopia, Mozambique, Nigeria and Tanzania between 2019 and 2023 and applied culture-based WGS and metagenomic sequencing. Of 446 recovered isolates, 380 high-quality genomes were analyzed (207 E. coli, 138 Salmonella spp., 24 Campylobacter spp., 11 Shigella spp.), and 139 metagenomes passed QC for community profiling. Pathogen distributions were geographically stable over time, with genomic clustering showing closely related isolates across distinct sources consistent with potential transmission routes. Metagenomics revealed dominant genera such as Escherichia, Enterococcus and Bifidobacterium, recovered 13 high-quality MAGs (12 E. coli, 1 Campylobacter), and provided complementary population-level insights though MAGs rarely reached strain-level identity with cultured isolates.
 Conclusion:Combining targeted environmental and food-chain sampling with WGS and metagenomic sequencing strengthens surveillance and source-tracing of foodborne enteric pathogens in resource-limited African settings
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Using metagenomics and whole-genome sequencing to characterize enteric pathogens across various sources in Africa
 First author:Thystrup C
 Journal:Nat Commun (2025)
 DOI:10.1038/s41467-025-66400-9
 Reference:Thystrup C, Gobena T, Salvador EM, Fayemi OE, Kumburu H, Buys EM, Gichure J, Moiane BT, Belina D, Hugho EA, Faife S, Ogunbiyi TS, Akanni G, Ayolabi CI, Mmbaga B, Thomas KM, Pires SM, Njage PMK, Hald T. Using metagenomics and whole-genome sequencing to characterize enteric pathogens across various sources in Africa. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66400-9
 License:CC BY 4.0 International License (CC BY 4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/metagenomics-wgs-africa
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-23.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s discussion of study design (WGS vs metagenomics), multicountry sampling, major pathogen findings (E. coli, Salmonella, Campylobacter, Shigella), STs (ST131, ST38, ST1208), MAGs and their concordance with culture data, temporal sewage trends (2021), and limitations (database bias, AMR on plasmid- transcript topics: WGS vs metagenomics methodological comparison; FOCAL project sampling across four African LMICs; Pathogen diversity across human, animal, food, and environmental reservoirs; E. coli typing (ST131, ST38) and Salmonella typing (ST1208); MAGs and culture-independent surveillance; Temporal trends in sewage pathogen burden (2021 spike)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 3,417 samples coll...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2302821/c1a-p6xp7-kpod77d7t3g0-ongz5e.png"></itunes:image>
                                                                            <itunes:duration>00:20:00</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2302821/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[236: XPD translocation and genetic disease etiology]]>
                </title>
                <pubDate>Mon, 22 Dec 2025 05:31:38 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2301745</guid>
                                    <link>https://basebybase.castos.com/episodes/xpd-translocation-disease-etiology</link>
                                <description>
                                            <![CDATA[<p>Paul T et al., Nat Commun - Computational modeling reveals how ATP-driven conformational cycles of the XPD helicase drive directional 5′→3′ translocation on single-stranded DNA and how mutations disrupt this process to cause disease. Key terms: XPD, DinG, ssDNA translocation, nucleotide excision repair, disease mutations.</p>
<p> Study Highlights:<br />The authors combined molecular dynamics, partial nudged elastic band path optimization, transition path sampling, and Markov state modeling to map seven metastable on-path states that define XPD’s ATPase cycle. ATP binding and hydrolysis drive reciprocal rotations of the RecA2 and Arch domains, transmitted via a spring helix and spindle helix, that alternate DNA affinity at two defined constrictions at the 5′ and 3′ ends of the DNA-binding groove. Translocation proceeds in two phases: RecA2-driven sliding of ssDNA through Constriction 1 followed by ATP hydrolysis, constriction switching and sliding through Constriction 2, advancing one nucleotide per ATP. Mapping of missense mutations shows clustering of disease-associated residues at DNA- and ATP-binding sites and classifies mutations that impair DNA binding, ATPase function, or allosteric domain dynamics</p>
<p> Conclusion:<br />A detailed mechanistic map links XPD’s nucleotide-dependent conformational switching to directional ssDNA translocation and explains how perturbations of key residues underlie XP, CS, and TTD phenotypes</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Translocation mechanism of xeroderma pigmentosum group D protein on single-stranded DNA and genetic disease etiology</p>
<p> First author:<br />Paul T</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-66834-1</p>
<p> Reference:<br />Paul T, Yan C, Derdeyn-Blackwell G, Ivanov I. Translocation mechanism of xeroderma pigmentosum group D protein on single-stranded DNA and genetic disease etiology. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66834-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/xpd-translocation-disease-etiology</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript portions describing XPD’s translocation mechanism, the seven-state ATPase cycle (S1–S7), the roles of Constriction 1 and Constriction 2, mutation class mapping to XP/CS/TTD phenotypes, XPD–DinG comparison, and per-nucleotide kinetic estimates.<br />- transcript topics: XPD function in nucleotide excision repair and lesion verification; XPD domain architecture and DNA-binding groove; Seven-state ATPase cycle (S1–S7) and translocation on ssDNA; Constriction 1 (5′ end) and Constriction 2 (3′ end) as molecular clamps; ATP binding/hydrolysis and mechanical coupling (spring spindle helix, Arch/Fe–S interactions); Disease mutations: XP, CS, TTD phenotypes and class mapping</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- XPD translocates 5′...</p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - Leading the charge in the DNA repair process</li><li>(00:04:33) - How XPD moves forward in the DNA</li><li>(00:07:49) - How does XPD pull the DNA forward?</li><li>(00:10:36) - How XPCS mutations disrupt the ATP engine</li><li>(00:12:46) - XPD</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Paul T et al., Nat Commun - Computational modeling reveals how ATP-driven conformational cycles of the XPD helicase drive directional 5′→3′ translocation on single-stranded DNA and how mutations disrupt this process to cause disease. Key terms: XPD, DinG, ssDNA translocation, nucleotide excision repair, disease mutations.
 Study Highlights:The authors combined molecular dynamics, partial nudged elastic band path optimization, transition path sampling, and Markov state modeling to map seven metastable on-path states that define XPD’s ATPase cycle. ATP binding and hydrolysis drive reciprocal rotations of the RecA2 and Arch domains, transmitted via a spring helix and spindle helix, that alternate DNA affinity at two defined constrictions at the 5′ and 3′ ends of the DNA-binding groove. Translocation proceeds in two phases: RecA2-driven sliding of ssDNA through Constriction 1 followed by ATP hydrolysis, constriction switching and sliding through Constriction 2, advancing one nucleotide per ATP. Mapping of missense mutations shows clustering of disease-associated residues at DNA- and ATP-binding sites and classifies mutations that impair DNA binding, ATPase function, or allosteric domain dynamics
 Conclusion:A detailed mechanistic map links XPD’s nucleotide-dependent conformational switching to directional ssDNA translocation and explains how perturbations of key residues underlie XP, CS, and TTD phenotypes
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Translocation mechanism of xeroderma pigmentosum group D protein on single-stranded DNA and genetic disease etiology
 First author:Paul T
 Journal:Nat Commun
 DOI:10.1038/s41467-025-66834-1
 Reference:Paul T, Yan C, Derdeyn-Blackwell G, Ivanov I. Translocation mechanism of xeroderma pigmentosum group D protein on single-stranded DNA and genetic disease etiology. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66834-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/xpd-translocation-disease-etiology
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript portions describing XPD’s translocation mechanism, the seven-state ATPase cycle (S1–S7), the roles of Constriction 1 and Constriction 2, mutation class mapping to XP/CS/TTD phenotypes, XPD–DinG comparison, and per-nucleotide kinetic estimates.- transcript topics: XPD function in nucleotide excision repair and lesion verification; XPD domain architecture and DNA-binding groove; Seven-state ATPase cycle (S1–S7) and translocation on ssDNA; Constriction 1 (5′ end) and Constriction 2 (3′ end) as molecular clamps; ATP binding/hydrolysis and mechanical coupling (spring spindle helix, Arch/Fe–S interactions); Disease mutations: XP, CS, TTD phenotypes and class mapping
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- XPD translocates 5′...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[236: XPD translocation and genetic disease etiology]]>
                </itunes:title>
                                    <itunes:episode>236</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Paul T et al., Nat Commun - Computational modeling reveals how ATP-driven conformational cycles of the XPD helicase drive directional 5′→3′ translocation on single-stranded DNA and how mutations disrupt this process to cause disease. Key terms: XPD, DinG, ssDNA translocation, nucleotide excision repair, disease mutations.</p>
<p> Study Highlights:<br />The authors combined molecular dynamics, partial nudged elastic band path optimization, transition path sampling, and Markov state modeling to map seven metastable on-path states that define XPD’s ATPase cycle. ATP binding and hydrolysis drive reciprocal rotations of the RecA2 and Arch domains, transmitted via a spring helix and spindle helix, that alternate DNA affinity at two defined constrictions at the 5′ and 3′ ends of the DNA-binding groove. Translocation proceeds in two phases: RecA2-driven sliding of ssDNA through Constriction 1 followed by ATP hydrolysis, constriction switching and sliding through Constriction 2, advancing one nucleotide per ATP. Mapping of missense mutations shows clustering of disease-associated residues at DNA- and ATP-binding sites and classifies mutations that impair DNA binding, ATPase function, or allosteric domain dynamics</p>
<p> Conclusion:<br />A detailed mechanistic map links XPD’s nucleotide-dependent conformational switching to directional ssDNA translocation and explains how perturbations of key residues underlie XP, CS, and TTD phenotypes</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Translocation mechanism of xeroderma pigmentosum group D protein on single-stranded DNA and genetic disease etiology</p>
<p> First author:<br />Paul T</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-66834-1</p>
<p> Reference:<br />Paul T, Yan C, Derdeyn-Blackwell G, Ivanov I. Translocation mechanism of xeroderma pigmentosum group D protein on single-stranded DNA and genetic disease etiology. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66834-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/xpd-translocation-disease-etiology</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript portions describing XPD’s translocation mechanism, the seven-state ATPase cycle (S1–S7), the roles of Constriction 1 and Constriction 2, mutation class mapping to XP/CS/TTD phenotypes, XPD–DinG comparison, and per-nucleotide kinetic estimates.<br />- transcript topics: XPD function in nucleotide excision repair and lesion verification; XPD domain architecture and DNA-binding groove; Seven-state ATPase cycle (S1–S7) and translocation on ssDNA; Constriction 1 (5′ end) and Constriction 2 (3′ end) as molecular clamps; ATP binding/hydrolysis and mechanical coupling (spring spindle helix, Arch/Fe–S interactions); Disease mutations: XP, CS, TTD phenotypes and class mapping</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- XPD translocates 5′→3′ on ssDNA via a seven-state ATPase cycle (S1–S7).<br />- Two constrictions (Constriction 1 at the 5′ end and Constriction 2 at the 3′ end) act as molecular clamps enabling directional translocation.<br />- Mutations cluster at DNA-binding and ATPase sites and are categorized into three classes (A XP, B XP/CS, C XP/CS) with disease phenotypes XP, CS, and TTD.<br />- Key structural elements such as the spring helix and spindle helix couple motor-domain movements to Arch/Fe–S domains.<br />- XPD and DinG share a common architecture but differ in Fe–S domain anchoring; DinG lacks the XPD-specific anchoring element and shows different intermediate states (SD1–SD5).<br />- Per-nucleotide translocation times are predicted to be ~4 ms for XPD and ~9 ms for DinG; experimental rates on duplex DNA under load can be ~100 ms per nucleotide.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Paul T et al., Nat Commun - Computational modeling reveals how ATP-driven conformational cycles of the XPD helicase drive directional 5′→3′ translocation on single-stranded DNA and how mutations disrupt this process to cause disease. Key terms: XPD, DinG, ssDNA translocation, nucleotide excision repair, disease mutations.
 Study Highlights:The authors combined molecular dynamics, partial nudged elastic band path optimization, transition path sampling, and Markov state modeling to map seven metastable on-path states that define XPD’s ATPase cycle. ATP binding and hydrolysis drive reciprocal rotations of the RecA2 and Arch domains, transmitted via a spring helix and spindle helix, that alternate DNA affinity at two defined constrictions at the 5′ and 3′ ends of the DNA-binding groove. Translocation proceeds in two phases: RecA2-driven sliding of ssDNA through Constriction 1 followed by ATP hydrolysis, constriction switching and sliding through Constriction 2, advancing one nucleotide per ATP. Mapping of missense mutations shows clustering of disease-associated residues at DNA- and ATP-binding sites and classifies mutations that impair DNA binding, ATPase function, or allosteric domain dynamics
 Conclusion:A detailed mechanistic map links XPD’s nucleotide-dependent conformational switching to directional ssDNA translocation and explains how perturbations of key residues underlie XP, CS, and TTD phenotypes
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Translocation mechanism of xeroderma pigmentosum group D protein on single-stranded DNA and genetic disease etiology
 First author:Paul T
 Journal:Nat Commun
 DOI:10.1038/s41467-025-66834-1
 Reference:Paul T, Yan C, Derdeyn-Blackwell G, Ivanov I. Translocation mechanism of xeroderma pigmentosum group D protein on single-stranded DNA and genetic disease etiology. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66834-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/xpd-translocation-disease-etiology
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript portions describing XPD’s translocation mechanism, the seven-state ATPase cycle (S1–S7), the roles of Constriction 1 and Constriction 2, mutation class mapping to XP/CS/TTD phenotypes, XPD–DinG comparison, and per-nucleotide kinetic estimates.- transcript topics: XPD function in nucleotide excision repair and lesion verification; XPD domain architecture and DNA-binding groove; Seven-state ATPase cycle (S1–S7) and translocation on ssDNA; Constriction 1 (5′ end) and Constriction 2 (3′ end) as molecular clamps; ATP binding/hydrolysis and mechanical coupling (spring spindle helix, Arch/Fe–S interactions); Disease mutations: XP, CS, TTD phenotypes and class mapping
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- XPD translocates 5′...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2301745/c1a-p6xp7-qdp49947sp3v-rhxmmu.png"></itunes:image>
                                                                            <itunes:duration>00:19:54</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[235: Maternal H3K9 methyltransferases control aRMAE in C. elegans]]>
                </title>
                <pubDate>Sun, 21 Dec 2025 09:54:11 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2301262</guid>
                                    <link>https://basebybase.castos.com/episodes/maternal-h3k9-armae-c-elegans</link>
                                <description>
                                            <![CDATA[<p>Sands et al., Nature Communications - Using dual-color reporters in C. elegans, the study shows maternal H3K9 methyltransferases MET-2 and SET-25 antagonistically regulate autosomal random monoallelic expression initiated in the early embryo. Key terms: histone-methyltransferase, aRMAE, MET-2, SET-25, c-elegans.</p>
<p> Study Highlights:<br />Dual-color fluorescent reporter alleles in C. elegans intestine cells enabled single-cell quantification of allele expression and a targeted screen for aRMAE regulators. MET-2/SETDB1, with LIN-65 and ARLE-14, acts maternally in the 8-cell E-cell to prevent monoallelic expression, while SET-25/SUV39 with HPL-2 and LIN-61 promotes allele silencing. Catalytic SET domains of both MET-2 and SET-25 are required for their opposing activities, and loss of MET-2 increases persistent but non-heritable monoallelic expression whereas loss of SET-25 causes biallelic expression. Reciprocal crosses and genetic interactions indicate these maternal H3K9 HMTs set early embryonic histone states that are propagated through somatic divisions to shape tissue-wide allele expression.</p>
<p> Conclusion:<br />Maternal MET-2 and SET-25 establish competing H3K9-related chromatin states in the early embryo that bias autosomal alleles toward persistent somatic monoallelic or biallelic expression</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Maternal histone methyltransferases antagonistically regulate autosomal random monoallelic expression (aRMAE) in C. elegans</p>
<p> First author:<br />Sands</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66501-5</p>
<p> Reference:<br />Sands, B., Yun, S.R., Oshima, J. et al. Maternal histone methyltransferases antagonistically regulate autosomal random monoallelic expression (aRMAE) in C. elegans. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66501-5</p>
<p> License:<br />CC BY 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/maternal-h3k9-armae-c-elegans</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing MAE basics, the C. elegans reporter MAE assay, intrinsic noise as a MAE metric, the MET-2/SET-25 antagonism and cofactors, maternal deposition in the E-cell, catalytic SET-domain requirements, cross experiments, gene specificity, and translational implications.<br />- transcript topics: Introduction to autosomal random monoallelic expression (aRMAE); C. elegans MAE reporter system with dual-color alleles (hsp-90); Intrinsic noise as a quantitative MAE measure; RNAi screen identifying H3K9 methyltransferases MET-2 and SET-25; Antagonistic roles of MET-2 (negative regulator) and SET-25 (positive regulator) of MAE; Cofactors LIN-65, ARLE-14, HPL-2, LIN-61</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Autosomal random monoallelic expression (aRMAE) is probabilistic, persistent within a tissue, but not heritable across generations.<br />- In C. elegans intestine, maternal MET-2 antagonizes SET-25 to regulate MAE; MET-2 promotes biallelic expression while SET-25 promotes m...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - How do maternal histone methyltransferases regulate DNA health?</li><li>(00:05:14) - The epigenetic tug of war in the worm</li><li>(00:09:11) - Maternal DNA silencing</li><li>(00:14:27) - Half the Story</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sands et al., Nature Communications - Using dual-color reporters in C. elegans, the study shows maternal H3K9 methyltransferases MET-2 and SET-25 antagonistically regulate autosomal random monoallelic expression initiated in the early embryo. Key terms: histone-methyltransferase, aRMAE, MET-2, SET-25, c-elegans.
 Study Highlights:Dual-color fluorescent reporter alleles in C. elegans intestine cells enabled single-cell quantification of allele expression and a targeted screen for aRMAE regulators. MET-2/SETDB1, with LIN-65 and ARLE-14, acts maternally in the 8-cell E-cell to prevent monoallelic expression, while SET-25/SUV39 with HPL-2 and LIN-61 promotes allele silencing. Catalytic SET domains of both MET-2 and SET-25 are required for their opposing activities, and loss of MET-2 increases persistent but non-heritable monoallelic expression whereas loss of SET-25 causes biallelic expression. Reciprocal crosses and genetic interactions indicate these maternal H3K9 HMTs set early embryonic histone states that are propagated through somatic divisions to shape tissue-wide allele expression.
 Conclusion:Maternal MET-2 and SET-25 establish competing H3K9-related chromatin states in the early embryo that bias autosomal alleles toward persistent somatic monoallelic or biallelic expression
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Maternal histone methyltransferases antagonistically regulate autosomal random monoallelic expression (aRMAE) in C. elegans
 First author:Sands
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66501-5
 Reference:Sands, B., Yun, S.R., Oshima, J. et al. Maternal histone methyltransferases antagonistically regulate autosomal random monoallelic expression (aRMAE) in C. elegans. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66501-5
 License:CC BY 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/maternal-h3k9-armae-c-elegans
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing MAE basics, the C. elegans reporter MAE assay, intrinsic noise as a MAE metric, the MET-2/SET-25 antagonism and cofactors, maternal deposition in the E-cell, catalytic SET-domain requirements, cross experiments, gene specificity, and translational implications.- transcript topics: Introduction to autosomal random monoallelic expression (aRMAE); C. elegans MAE reporter system with dual-color alleles (hsp-90); Intrinsic noise as a quantitative MAE measure; RNAi screen identifying H3K9 methyltransferases MET-2 and SET-25; Antagonistic roles of MET-2 (negative regulator) and SET-25 (positive regulator) of MAE; Cofactors LIN-65, ARLE-14, HPL-2, LIN-61
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Autosomal random monoallelic expression (aRMAE) is probabilistic, persistent within a tissue, but not heritable across generations.- In C. elegans intestine, maternal MET-2 antagonizes SET-25 to regulate MAE; MET-2 promotes biallelic expression while SET-25 promotes m...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[235: Maternal H3K9 methyltransferases control aRMAE in C. elegans]]>
                </itunes:title>
                                    <itunes:episode>235</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sands et al., Nature Communications - Using dual-color reporters in C. elegans, the study shows maternal H3K9 methyltransferases MET-2 and SET-25 antagonistically regulate autosomal random monoallelic expression initiated in the early embryo. Key terms: histone-methyltransferase, aRMAE, MET-2, SET-25, c-elegans.</p>
<p> Study Highlights:<br />Dual-color fluorescent reporter alleles in C. elegans intestine cells enabled single-cell quantification of allele expression and a targeted screen for aRMAE regulators. MET-2/SETDB1, with LIN-65 and ARLE-14, acts maternally in the 8-cell E-cell to prevent monoallelic expression, while SET-25/SUV39 with HPL-2 and LIN-61 promotes allele silencing. Catalytic SET domains of both MET-2 and SET-25 are required for their opposing activities, and loss of MET-2 increases persistent but non-heritable monoallelic expression whereas loss of SET-25 causes biallelic expression. Reciprocal crosses and genetic interactions indicate these maternal H3K9 HMTs set early embryonic histone states that are propagated through somatic divisions to shape tissue-wide allele expression.</p>
<p> Conclusion:<br />Maternal MET-2 and SET-25 establish competing H3K9-related chromatin states in the early embryo that bias autosomal alleles toward persistent somatic monoallelic or biallelic expression</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Maternal histone methyltransferases antagonistically regulate autosomal random monoallelic expression (aRMAE) in C. elegans</p>
<p> First author:<br />Sands</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66501-5</p>
<p> Reference:<br />Sands, B., Yun, S.R., Oshima, J. et al. Maternal histone methyltransferases antagonistically regulate autosomal random monoallelic expression (aRMAE) in C. elegans. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66501-5</p>
<p> License:<br />CC BY 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/maternal-h3k9-armae-c-elegans</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing MAE basics, the C. elegans reporter MAE assay, intrinsic noise as a MAE metric, the MET-2/SET-25 antagonism and cofactors, maternal deposition in the E-cell, catalytic SET-domain requirements, cross experiments, gene specificity, and translational implications.<br />- transcript topics: Introduction to autosomal random monoallelic expression (aRMAE); C. elegans MAE reporter system with dual-color alleles (hsp-90); Intrinsic noise as a quantitative MAE measure; RNAi screen identifying H3K9 methyltransferases MET-2 and SET-25; Antagonistic roles of MET-2 (negative regulator) and SET-25 (positive regulator) of MAE; Cofactors LIN-65, ARLE-14, HPL-2, LIN-61</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Autosomal random monoallelic expression (aRMAE) is probabilistic, persistent within a tissue, but not heritable across generations.<br />- In C. elegans intestine, maternal MET-2 antagonizes SET-25 to regulate MAE; MET-2 promotes biallelic expression while SET-25 promotes monoallelic expression.<br />- Catalytic SET domains of MET-2 and SET-25 are required for their regulatory effects on MAE.<br />- Maternal MET-2 and SET-25 act in the E-cell of the 8-cell embryo to regulate MAE; the decision is propagated through somatic divisions but is not heritable.<br />- Cofactors LIN-65 and ARLE-14 support MET-2; HPL-2 and LIN-61 support SET-25 function.<br />- MAE regulation is gene-specific; not all MAE-prone genes respond similarly to MET-2 perturbation (e.g., hsp-90 vs vit-2).</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Sands et al., Nature Communications - Using dual-color reporters in C. elegans, the study shows maternal H3K9 methyltransferases MET-2 and SET-25 antagonistically regulate autosomal random monoallelic expression initiated in the early embryo. Key terms: histone-methyltransferase, aRMAE, MET-2, SET-25, c-elegans.
 Study Highlights:Dual-color fluorescent reporter alleles in C. elegans intestine cells enabled single-cell quantification of allele expression and a targeted screen for aRMAE regulators. MET-2/SETDB1, with LIN-65 and ARLE-14, acts maternally in the 8-cell E-cell to prevent monoallelic expression, while SET-25/SUV39 with HPL-2 and LIN-61 promotes allele silencing. Catalytic SET domains of both MET-2 and SET-25 are required for their opposing activities, and loss of MET-2 increases persistent but non-heritable monoallelic expression whereas loss of SET-25 causes biallelic expression. Reciprocal crosses and genetic interactions indicate these maternal H3K9 HMTs set early embryonic histone states that are propagated through somatic divisions to shape tissue-wide allele expression.
 Conclusion:Maternal MET-2 and SET-25 establish competing H3K9-related chromatin states in the early embryo that bias autosomal alleles toward persistent somatic monoallelic or biallelic expression
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Maternal histone methyltransferases antagonistically regulate autosomal random monoallelic expression (aRMAE) in C. elegans
 First author:Sands
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66501-5
 Reference:Sands, B., Yun, S.R., Oshima, J. et al. Maternal histone methyltransferases antagonistically regulate autosomal random monoallelic expression (aRMAE) in C. elegans. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66501-5
 License:CC BY 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/maternal-h3k9-armae-c-elegans
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing MAE basics, the C. elegans reporter MAE assay, intrinsic noise as a MAE metric, the MET-2/SET-25 antagonism and cofactors, maternal deposition in the E-cell, catalytic SET-domain requirements, cross experiments, gene specificity, and translational implications.- transcript topics: Introduction to autosomal random monoallelic expression (aRMAE); C. elegans MAE reporter system with dual-color alleles (hsp-90); Intrinsic noise as a quantitative MAE measure; RNAi screen identifying H3K9 methyltransferases MET-2 and SET-25; Antagonistic roles of MET-2 (negative regulator) and SET-25 (positive regulator) of MAE; Cofactors LIN-65, ARLE-14, HPL-2, LIN-61
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Autosomal random monoallelic expression (aRMAE) is probabilistic, persistent within a tissue, but not heritable across generations.- In C. elegans intestine, maternal MET-2 antagonizes SET-25 to regulate MAE; MET-2 promotes biallelic expression while SET-25 promotes m...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:17:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[234: MTHFR genotype and methionine metabolism predict COVID-19 severity]]>
                </title>
                <pubDate>Sat, 20 Dec 2025 08:43:58 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2299729</guid>
                                    <link>https://basebybase.castos.com/episodes/mthfr-methionine-covid-risk</link>
                                <description>
                                            <![CDATA[<p>Petrova B et al., Proc Natl Acad Sci U S A - IMPACC longitudinal metabolomics and genomics analyses show that disruptions in one‑carbon/methionine metabolism together with MTHFR C677T genotype at hospital admission improve prediction of severe COVID‑19 and long COVID risk. Key terms: mthfr, one-carbon metabolism, methionine, metabolomics, long covid.</p>
<p> Study Highlights:<br />IMPACC profiled plasma metabolites (global and targeted) from over 1,000 hospitalized COVID-19 patients and identified early alterations in one‑carbon metabolism, with emphasis on the methionine cycle. Methionine‑sulfoxide and S‑adenosylhomocysteine (SAH) were elevated in patients with more severe clinical trajectories and changed over serial visits. The common hypomorphic MTHFR C677T (AA) genotype associated with distinct methionine‑cycle metabolite profiles and, when combined with baseline methionine, methionine‑sulfoxide, and SAH levels, significantly improved mortality prediction versus genotype alone. The combined genotype–metabolite factor also stratified risk of long COVID across patient‑reported outcome clusters.</p>
<p> Conclusion:<br />Integrating MTHFR C677T status with early plasma methionine‑cycle metabolite measurements can enhance early risk stratification for severe COVID‑19 and long COVID.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />MTHFR allele and one-carbon metabolic profile predict severity of COVID-19</p>
<p> First author:<br />Petrova B</p>
<p> Journal:<br />Proc Natl Acad Sci U S A</p>
<p> DOI:<br />10.1073/pnas.2509118122</p>
<p> Reference:<br />Petrova B, Syphur C, Montgomery RR, Levy O, Diray‑Arce J, Kleinstein SH, Kanarek N, Culhane AJ, Chen J, et al. MTHFR allele and one‑carbon metabolic profile predict severity of COVID‑19. Proc Natl Acad Sci U S A. 2025;122(51):e2509118122. https://doi.org/10.1073/pnas.2509118122</p>
<p> License:<br />CC BY 4.0 International License (CC BY 4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mthfr-methionine-covid-risk</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive scientific content in the transcript: one-carbon metabolism and methionine cycle; MTHFR C677T polymorphism; IMPACC cohort design with visit-1 sampling within 72 hours; early metabolite perturbations (methionine, methionine sulfoxide, SAH, glycine, serine); two-hit hypothesis; predictive modeling (AI<br />- transcript topics: One-carbon metabolism and the methionine cycle; MTHFR C677T polymorphism and AA homozygosity; IMPACC cohort design and visit-1 sampling within 72 hours; Early metabolite changes: methionine, methionine sulfoxide, SAH, glycine, serine; Long COVID risk and trajectory analyses; Two-hit hypothesis and predictive modeling (AIC)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Combined MTHFR AA genotype with acute methionine-cycle metabolite levels (SAH, methionine, methionine sulfoxide) improves prediction of mortality and long COVID risk<br />- Visit 1 samples were collected within 72 hours of hospital admission<br />- SAH and methionine sulfoxide levels are elevated with highe...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Petrova B et al., Proc Natl Acad Sci U S A - IMPACC longitudinal metabolomics and genomics analyses show that disruptions in one‑carbon/methionine metabolism together with MTHFR C677T genotype at hospital admission improve prediction of severe COVID‑19 and long COVID risk. Key terms: mthfr, one-carbon metabolism, methionine, metabolomics, long covid.
 Study Highlights:IMPACC profiled plasma metabolites (global and targeted) from over 1,000 hospitalized COVID-19 patients and identified early alterations in one‑carbon metabolism, with emphasis on the methionine cycle. Methionine‑sulfoxide and S‑adenosylhomocysteine (SAH) were elevated in patients with more severe clinical trajectories and changed over serial visits. The common hypomorphic MTHFR C677T (AA) genotype associated with distinct methionine‑cycle metabolite profiles and, when combined with baseline methionine, methionine‑sulfoxide, and SAH levels, significantly improved mortality prediction versus genotype alone. The combined genotype–metabolite factor also stratified risk of long COVID across patient‑reported outcome clusters.
 Conclusion:Integrating MTHFR C677T status with early plasma methionine‑cycle metabolite measurements can enhance early risk stratification for severe COVID‑19 and long COVID.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:MTHFR allele and one-carbon metabolic profile predict severity of COVID-19
 First author:Petrova B
 Journal:Proc Natl Acad Sci U S A
 DOI:10.1073/pnas.2509118122
 Reference:Petrova B, Syphur C, Montgomery RR, Levy O, Diray‑Arce J, Kleinstein SH, Kanarek N, Culhane AJ, Chen J, et al. MTHFR allele and one‑carbon metabolic profile predict severity of COVID‑19. Proc Natl Acad Sci U S A. 2025;122(51):e2509118122. https://doi.org/10.1073/pnas.2509118122
 License:CC BY 4.0 International License (CC BY 4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mthfr-methionine-covid-risk
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive scientific content in the transcript: one-carbon metabolism and methionine cycle; MTHFR C677T polymorphism; IMPACC cohort design with visit-1 sampling within 72 hours; early metabolite perturbations (methionine, methionine sulfoxide, SAH, glycine, serine); two-hit hypothesis; predictive modeling (AI- transcript topics: One-carbon metabolism and the methionine cycle; MTHFR C677T polymorphism and AA homozygosity; IMPACC cohort design and visit-1 sampling within 72 hours; Early metabolite changes: methionine, methionine sulfoxide, SAH, glycine, serine; Long COVID risk and trajectory analyses; Two-hit hypothesis and predictive modeling (AIC)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Combined MTHFR AA genotype with acute methionine-cycle metabolite levels (SAH, methionine, methionine sulfoxide) improves prediction of mortality and long COVID risk- Visit 1 samples were collected within 72 hours of hospital admission- SAH and methionine sulfoxide levels are elevated with highe...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[234: MTHFR genotype and methionine metabolism predict COVID-19 severity]]>
                </itunes:title>
                                    <itunes:episode>234</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Petrova B et al., Proc Natl Acad Sci U S A - IMPACC longitudinal metabolomics and genomics analyses show that disruptions in one‑carbon/methionine metabolism together with MTHFR C677T genotype at hospital admission improve prediction of severe COVID‑19 and long COVID risk. Key terms: mthfr, one-carbon metabolism, methionine, metabolomics, long covid.</p>
<p> Study Highlights:<br />IMPACC profiled plasma metabolites (global and targeted) from over 1,000 hospitalized COVID-19 patients and identified early alterations in one‑carbon metabolism, with emphasis on the methionine cycle. Methionine‑sulfoxide and S‑adenosylhomocysteine (SAH) were elevated in patients with more severe clinical trajectories and changed over serial visits. The common hypomorphic MTHFR C677T (AA) genotype associated with distinct methionine‑cycle metabolite profiles and, when combined with baseline methionine, methionine‑sulfoxide, and SAH levels, significantly improved mortality prediction versus genotype alone. The combined genotype–metabolite factor also stratified risk of long COVID across patient‑reported outcome clusters.</p>
<p> Conclusion:<br />Integrating MTHFR C677T status with early plasma methionine‑cycle metabolite measurements can enhance early risk stratification for severe COVID‑19 and long COVID.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />MTHFR allele and one-carbon metabolic profile predict severity of COVID-19</p>
<p> First author:<br />Petrova B</p>
<p> Journal:<br />Proc Natl Acad Sci U S A</p>
<p> DOI:<br />10.1073/pnas.2509118122</p>
<p> Reference:<br />Petrova B, Syphur C, Montgomery RR, Levy O, Diray‑Arce J, Kleinstein SH, Kanarek N, Culhane AJ, Chen J, et al. MTHFR allele and one‑carbon metabolic profile predict severity of COVID‑19. Proc Natl Acad Sci U S A. 2025;122(51):e2509118122. https://doi.org/10.1073/pnas.2509118122</p>
<p> License:<br />CC BY 4.0 International License (CC BY 4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mthfr-methionine-covid-risk</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive scientific content in the transcript: one-carbon metabolism and methionine cycle; MTHFR C677T polymorphism; IMPACC cohort design with visit-1 sampling within 72 hours; early metabolite perturbations (methionine, methionine sulfoxide, SAH, glycine, serine); two-hit hypothesis; predictive modeling (AI<br />- transcript topics: One-carbon metabolism and the methionine cycle; MTHFR C677T polymorphism and AA homozygosity; IMPACC cohort design and visit-1 sampling within 72 hours; Early metabolite changes: methionine, methionine sulfoxide, SAH, glycine, serine; Long COVID risk and trajectory analyses; Two-hit hypothesis and predictive modeling (AIC)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Combined MTHFR AA genotype with acute methionine-cycle metabolite levels (SAH, methionine, methionine sulfoxide) improves prediction of mortality and long COVID risk<br />- Visit 1 samples were collected within 72 hours of hospital admission<br />- SAH and methionine sulfoxide levels are elevated with higher disease severity; glycine and serine changes observed in relation to severity<br />- MTHFR C677T AA allele frequency in IMPACC is 13.3% (AA allele), with ~10–15% globally for the AA variant<br />- AIC-based model comparison shows substantial improvement when adding MTHFR genotype and methionine-cycle metabolites to clinical data (AIC ~790.85 -&gt; ~738.66; χ2(3)=58.2, P&lt;0.001)<br />- Long COVID risk is predicted by combining MTHFR allele status with early one-carbon metabolite changes</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Petrova B et al., Proc Natl Acad Sci U S A - IMPACC longitudinal metabolomics and genomics analyses show that disruptions in one‑carbon/methionine metabolism together with MTHFR C677T genotype at hospital admission improve prediction of severe COVID‑19 and long COVID risk. Key terms: mthfr, one-carbon metabolism, methionine, metabolomics, long covid.
 Study Highlights:IMPACC profiled plasma metabolites (global and targeted) from over 1,000 hospitalized COVID-19 patients and identified early alterations in one‑carbon metabolism, with emphasis on the methionine cycle. Methionine‑sulfoxide and S‑adenosylhomocysteine (SAH) were elevated in patients with more severe clinical trajectories and changed over serial visits. The common hypomorphic MTHFR C677T (AA) genotype associated with distinct methionine‑cycle metabolite profiles and, when combined with baseline methionine, methionine‑sulfoxide, and SAH levels, significantly improved mortality prediction versus genotype alone. The combined genotype–metabolite factor also stratified risk of long COVID across patient‑reported outcome clusters.
 Conclusion:Integrating MTHFR C677T status with early plasma methionine‑cycle metabolite measurements can enhance early risk stratification for severe COVID‑19 and long COVID.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:MTHFR allele and one-carbon metabolic profile predict severity of COVID-19
 First author:Petrova B
 Journal:Proc Natl Acad Sci U S A
 DOI:10.1073/pnas.2509118122
 Reference:Petrova B, Syphur C, Montgomery RR, Levy O, Diray‑Arce J, Kleinstein SH, Kanarek N, Culhane AJ, Chen J, et al. MTHFR allele and one‑carbon metabolic profile predict severity of COVID‑19. Proc Natl Acad Sci U S A. 2025;122(51):e2509118122. https://doi.org/10.1073/pnas.2509118122
 License:CC BY 4.0 International License (CC BY 4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mthfr-methionine-covid-risk
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive scientific content in the transcript: one-carbon metabolism and methionine cycle; MTHFR C677T polymorphism; IMPACC cohort design with visit-1 sampling within 72 hours; early metabolite perturbations (methionine, methionine sulfoxide, SAH, glycine, serine); two-hit hypothesis; predictive modeling (AI- transcript topics: One-carbon metabolism and the methionine cycle; MTHFR C677T polymorphism and AA homozygosity; IMPACC cohort design and visit-1 sampling within 72 hours; Early metabolite changes: methionine, methionine sulfoxide, SAH, glycine, serine; Long COVID risk and trajectory analyses; Two-hit hypothesis and predictive modeling (AIC)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Combined MTHFR AA genotype with acute methionine-cycle metabolite levels (SAH, methionine, methionine sulfoxide) improves prediction of mortality and long COVID risk- Visit 1 samples were collected within 72 hours of hospital admission- SAH and methionine sulfoxide levels are elevated with highe...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2299729/c1a-p6xp7-mk91dd10umv-toznig.png"></itunes:image>
                                                                            <itunes:duration>00:20:32</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[233: NuA3 structure reveals the mechanism of H3K14 acetylation]]>
                </title>
                <pubDate>Fri, 19 Dec 2025 07:02:26 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2296922</guid>
                                    <link>https://basebybase.castos.com/episodes/nua3-h3k14-structure</link>
                                <description>
                                            <![CDATA[<p>Shi W et al., Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex - Cryo-EM structures of the yeast NuA3 complex show a composite histone tail binding cleft formed by Sas3 and Nto1 that dictates selective acetylation of H3K14. Key terms: NuA3, Sas3, Nto1, H3K14 acetylation, cryo-EM.</p>
<p> Study Highlights:<br />The six-subunit NuA3 complex was purified and shown to acetylate H3K14 preferentially on H3K4- or H3K36-trimethylated substrates. Cryo-EM maps of the apo, acetyl-CoA-bound, and acetyl-CoA plus H3 tail-bound states were determined at 3.7 Å, 3.1 Å, and 3.2 Å resolution, respectively. The H3 tail binding cleft is formed cooperatively by the catalytic Sas3 MYST domain and the Nto1 PZP region, with a hydrophobic pocket engaging H3 residues 9–12 and a network of polar contacts around Gly13–Ala15 that confer site specificity. Mutations predicted to disrupt contacts (L369R, N354A, E452Q) impair or abolish HAT activity in vitro and reduce H3K14 acetylation in yeast. Binding of acetyl-CoA induces conformational shifts in a histone-engaging loop and a CoA-engaging helix that likely position catalytic residues for transfer</p>
<p> Conclusion:<br />The structures define how cooperative recognition by Sas3 and Nto1 and local conformational changes confer high specificity for H3K14 acetylation and suggest conservation of this recognition mode in human homologs</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Shi W</p>
<p> Journal:<br />Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex</p>
<p> DOI:<br />10.1038/s41467-025-67049-0</p>
<p> Reference:<br />Shi W., Zhao L., Wang Y., Zhang Y., Liu S., Wang Y., Kornberg R. D., Zhang H. Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex. Nat Commun (2025). https://doi.org/10.1038/s41467-025-67049-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nua3-h3k14-structure</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of NuA3 structure-function findings: complex composition, cooperative histone tail binding cleft, acetyl-CoA–induced conformational priming, substrate specificity with Gly13, mutational evidence (L369R, N354A, E452Q), recruitment marks (H3K4me3/H3K36me3), and cross-species conservation<br />- transcript topics: NuA3 subunit composition; Cooperative H3 tail binding cleft formed by Sas3 and Nto1; Acetyl-CoA binding and conformational priming; Substrate specificity and Gly13 determinant; Mutational effects: L369R, N354A, E452Q; Recruitment marks: H3K4me3 and H3K36me3</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- NuA3 is a six-subunit histone acetyltransferase complex (Sas3, Nto1, Yng1, Eaf6, Taf14, Pdp3).<br />- NuA3 acetylates histone H3K14 and recruitment...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Shi W et al., Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex - Cryo-EM structures of the yeast NuA3 complex show a composite histone tail binding cleft formed by Sas3 and Nto1 that dictates selective acetylation of H3K14. Key terms: NuA3, Sas3, Nto1, H3K14 acetylation, cryo-EM.
 Study Highlights:The six-subunit NuA3 complex was purified and shown to acetylate H3K14 preferentially on H3K4- or H3K36-trimethylated substrates. Cryo-EM maps of the apo, acetyl-CoA-bound, and acetyl-CoA plus H3 tail-bound states were determined at 3.7 Å, 3.1 Å, and 3.2 Å resolution, respectively. The H3 tail binding cleft is formed cooperatively by the catalytic Sas3 MYST domain and the Nto1 PZP region, with a hydrophobic pocket engaging H3 residues 9–12 and a network of polar contacts around Gly13–Ala15 that confer site specificity. Mutations predicted to disrupt contacts (L369R, N354A, E452Q) impair or abolish HAT activity in vitro and reduce H3K14 acetylation in yeast. Binding of acetyl-CoA induces conformational shifts in a histone-engaging loop and a CoA-engaging helix that likely position catalytic residues for transfer
 Conclusion:The structures define how cooperative recognition by Sas3 and Nto1 and local conformational changes confer high specificity for H3K14 acetylation and suggest conservation of this recognition mode in human homologs
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Shi W
 Journal:Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex
 DOI:10.1038/s41467-025-67049-0
 Reference:Shi W., Zhao L., Wang Y., Zhang Y., Liu S., Wang Y., Kornberg R. D., Zhang H. Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex. Nat Commun (2025). https://doi.org/10.1038/s41467-025-67049-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nua3-h3k14-structure
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of NuA3 structure-function findings: complex composition, cooperative histone tail binding cleft, acetyl-CoA–induced conformational priming, substrate specificity with Gly13, mutational evidence (L369R, N354A, E452Q), recruitment marks (H3K4me3/H3K36me3), and cross-species conservation- transcript topics: NuA3 subunit composition; Cooperative H3 tail binding cleft formed by Sas3 and Nto1; Acetyl-CoA binding and conformational priming; Substrate specificity and Gly13 determinant; Mutational effects: L369R, N354A, E452Q; Recruitment marks: H3K4me3 and H3K36me3
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- NuA3 is a six-subunit histone acetyltransferase complex (Sas3, Nto1, Yng1, Eaf6, Taf14, Pdp3).- NuA3 acetylates histone H3K14 and recruitment...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[233: NuA3 structure reveals the mechanism of H3K14 acetylation]]>
                </itunes:title>
                                    <itunes:episode>233</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Shi W et al., Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex - Cryo-EM structures of the yeast NuA3 complex show a composite histone tail binding cleft formed by Sas3 and Nto1 that dictates selective acetylation of H3K14. Key terms: NuA3, Sas3, Nto1, H3K14 acetylation, cryo-EM.</p>
<p> Study Highlights:<br />The six-subunit NuA3 complex was purified and shown to acetylate H3K14 preferentially on H3K4- or H3K36-trimethylated substrates. Cryo-EM maps of the apo, acetyl-CoA-bound, and acetyl-CoA plus H3 tail-bound states were determined at 3.7 Å, 3.1 Å, and 3.2 Å resolution, respectively. The H3 tail binding cleft is formed cooperatively by the catalytic Sas3 MYST domain and the Nto1 PZP region, with a hydrophobic pocket engaging H3 residues 9–12 and a network of polar contacts around Gly13–Ala15 that confer site specificity. Mutations predicted to disrupt contacts (L369R, N354A, E452Q) impair or abolish HAT activity in vitro and reduce H3K14 acetylation in yeast. Binding of acetyl-CoA induces conformational shifts in a histone-engaging loop and a CoA-engaging helix that likely position catalytic residues for transfer</p>
<p> Conclusion:<br />The structures define how cooperative recognition by Sas3 and Nto1 and local conformational changes confer high specificity for H3K14 acetylation and suggest conservation of this recognition mode in human homologs</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Shi W</p>
<p> Journal:<br />Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex</p>
<p> DOI:<br />10.1038/s41467-025-67049-0</p>
<p> Reference:<br />Shi W., Zhao L., Wang Y., Zhang Y., Liu S., Wang Y., Kornberg R. D., Zhang H. Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex. Nat Commun (2025). https://doi.org/10.1038/s41467-025-67049-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nua3-h3k14-structure</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of NuA3 structure-function findings: complex composition, cooperative histone tail binding cleft, acetyl-CoA–induced conformational priming, substrate specificity with Gly13, mutational evidence (L369R, N354A, E452Q), recruitment marks (H3K4me3/H3K36me3), and cross-species conservation<br />- transcript topics: NuA3 subunit composition; Cooperative H3 tail binding cleft formed by Sas3 and Nto1; Acetyl-CoA binding and conformational priming; Substrate specificity and Gly13 determinant; Mutational effects: L369R, N354A, E452Q; Recruitment marks: H3K4me3 and H3K36me3</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- NuA3 is a six-subunit histone acetyltransferase complex (Sas3, Nto1, Yng1, Eaf6, Taf14, Pdp3).<br />- NuA3 acetylates histone H3K14 and recruitment depends on pre-existing marks H3K4me3 and H3K36me3.<br />- A deep histone tail binding cleft is formed cooperatively by Sas3 and Nto1, yielding site specificity for H3K14.<br />- Acetyl-CoA binding to Sas3 primes the complex by repositioning the histone-engaging loop and the CoA-engaging helix to facilitate tail docking.<br />- Gly13 preceding K14 acts as a critical determinant; G13R mutation reduces or abolishes HAT activity.<br />- Mutations L369R and N354A disrupt histone-tail interactions; E452Q abolishes catalytic activity.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Shi W et al., Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex - Cryo-EM structures of the yeast NuA3 complex show a composite histone tail binding cleft formed by Sas3 and Nto1 that dictates selective acetylation of H3K14. Key terms: NuA3, Sas3, Nto1, H3K14 acetylation, cryo-EM.
 Study Highlights:The six-subunit NuA3 complex was purified and shown to acetylate H3K14 preferentially on H3K4- or H3K36-trimethylated substrates. Cryo-EM maps of the apo, acetyl-CoA-bound, and acetyl-CoA plus H3 tail-bound states were determined at 3.7 Å, 3.1 Å, and 3.2 Å resolution, respectively. The H3 tail binding cleft is formed cooperatively by the catalytic Sas3 MYST domain and the Nto1 PZP region, with a hydrophobic pocket engaging H3 residues 9–12 and a network of polar contacts around Gly13–Ala15 that confer site specificity. Mutations predicted to disrupt contacts (L369R, N354A, E452Q) impair or abolish HAT activity in vitro and reduce H3K14 acetylation in yeast. Binding of acetyl-CoA induces conformational shifts in a histone-engaging loop and a CoA-engaging helix that likely position catalytic residues for transfer
 Conclusion:The structures define how cooperative recognition by Sas3 and Nto1 and local conformational changes confer high specificity for H3K14 acetylation and suggest conservation of this recognition mode in human homologs
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Shi W
 Journal:Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex
 DOI:10.1038/s41467-025-67049-0
 Reference:Shi W., Zhao L., Wang Y., Zhang Y., Liu S., Wang Y., Kornberg R. D., Zhang H. Mechanistic insights into histone recognition and H3K14 acetylation by the NuA3 histone acetyltransferase complex. Nat Commun (2025). https://doi.org/10.1038/s41467-025-67049-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nua3-h3k14-structure
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of NuA3 structure-function findings: complex composition, cooperative histone tail binding cleft, acetyl-CoA–induced conformational priming, substrate specificity with Gly13, mutational evidence (L369R, N354A, E452Q), recruitment marks (H3K4me3/H3K36me3), and cross-species conservation- transcript topics: NuA3 subunit composition; Cooperative H3 tail binding cleft formed by Sas3 and Nto1; Acetyl-CoA binding and conformational priming; Substrate specificity and Gly13 determinant; Mutational effects: L369R, N354A, E452Q; Recruitment marks: H3K4me3 and H3K36me3
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- NuA3 is a six-subunit histone acetyltransferase complex (Sas3, Nto1, Yng1, Eaf6, Taf14, Pdp3).- NuA3 acetylates histone H3K14 and recruitment...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:18:48</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[232: Lamin A/C steers fork restart via H3K9me3 and PARylation]]>
                </title>
                <pubDate>Thu, 18 Dec 2025 07:38:27 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2295053</guid>
                                    <link>https://basebybase.castos.com/episodes/nucleoplasmic-lamin-fork-restart</link>
                                <description>
                                            <![CDATA[<p>Cherdyntseva V et al., Nat Commun - Nucleoplasmic Lamin A/C, together with LAP2α, enforces active replication fork slowing during mild replication stress by promoting local H3K9me3 and ADP-ribosylation to restrain RECQ1-mediated restart and protect genome stability. Key terms: Lamin A/C, replication fork, H3K9me3, PARylation, RECQ1.</p>
<p> Study Highlights:<br />Lamin A/C dynamically associates with replication factories throughout the nucleus and its acute depletion abolishes stress-induced fork slowing and increases chromosomal breakage. Loss of nucleoplasmic Lamin A/C or LAP2α reduces poly-ADP-ribosylation (PAR) at nascent DNA, leading to untimely RECQ1-dependent restart of reversed forks. Mild replication stress induces accumulation of H3K9me3 at replication forks, and Lamin A/C is required to maintain this mark by preventing its removal by the demethylase KDM3A/JMJD1A. Inhibiting G9a to prevent H3K9 methylation phenocopies Lamin A/C loss, reducing PAR at forks and deregulating RECQ1 restart, whereas PARG inhibition or KDM3A downregulation restores PAR levels and fork slowing.</p>
<p> Conclusion:<br />Nucleoplasmic Lamin A/C maintains local chromatin compaction and PARylation at replication factories to limit RECQ1 activity, enforce fork slowing under mild stress, and preserve genome stability</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Nucleoplasmic Lamin A/C controls replication fork restart upon stress by modulating local H3K9me3 and ADP-ribosylation levels</p>
<p> First author:<br />Cherdyntseva V</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-66098-9</p>
<p> Reference:<br />Cherdyntseva V, Paulson J, González-Acosta D, Ubieto-Capella P, Rodrigues M, Aouami M, Adakli S, Gagné J-P, Bakker C, Poirier GG, Taneja N, Lopes M. Nucleoplasmic Lamin A/C controls replication fork restart upon stress by modulating local H3K9me3 and ADP-ribosylation levels. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66098-9</p>
<p> License:<br />CC BY 4.0 / Creative Commons Attribution 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nucleoplasmic-lamin-fork-restart</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s substantive coverage of the Lamin A/C–H3K9me3–PAR axis controlling fork slowdown and RECQ1 restart under mild replication stress, including roles of LAP2α, G9a, KDM3A, and ChromStretch mapping.<br />- transcript topics: Lamin A/C dynamic interaction with replication factories; Acute Lamin A/C depletion and LAP2α effect on fork slowing; RECQ1-mediated fork restart and genetic rescue by RECQ1 depletion; Local PARylation at replication forks and Lamin A/C control; H3K9me3 accumulation at forks and maintenance by Lamin A/C via KDM3A; G9a-driven chromatin methylation and chromatin compaction</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Lamin A/C dynamically interacts with replication factories throughout the nucleus<br />- Acute Lamin A/C depletion abolishes active fork slowing under mild replication stress; LAP2α depletion yields a similar pheno...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Cherdyntseva V et al., Nat Commun - Nucleoplasmic Lamin A/C, together with LAP2α, enforces active replication fork slowing during mild replication stress by promoting local H3K9me3 and ADP-ribosylation to restrain RECQ1-mediated restart and protect genome stability. Key terms: Lamin A/C, replication fork, H3K9me3, PARylation, RECQ1.
 Study Highlights:Lamin A/C dynamically associates with replication factories throughout the nucleus and its acute depletion abolishes stress-induced fork slowing and increases chromosomal breakage. Loss of nucleoplasmic Lamin A/C or LAP2α reduces poly-ADP-ribosylation (PAR) at nascent DNA, leading to untimely RECQ1-dependent restart of reversed forks. Mild replication stress induces accumulation of H3K9me3 at replication forks, and Lamin A/C is required to maintain this mark by preventing its removal by the demethylase KDM3A/JMJD1A. Inhibiting G9a to prevent H3K9 methylation phenocopies Lamin A/C loss, reducing PAR at forks and deregulating RECQ1 restart, whereas PARG inhibition or KDM3A downregulation restores PAR levels and fork slowing.
 Conclusion:Nucleoplasmic Lamin A/C maintains local chromatin compaction and PARylation at replication factories to limit RECQ1 activity, enforce fork slowing under mild stress, and preserve genome stability
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Nucleoplasmic Lamin A/C controls replication fork restart upon stress by modulating local H3K9me3 and ADP-ribosylation levels
 First author:Cherdyntseva V
 Journal:Nat Commun
 DOI:10.1038/s41467-025-66098-9
 Reference:Cherdyntseva V, Paulson J, González-Acosta D, Ubieto-Capella P, Rodrigues M, Aouami M, Adakli S, Gagné J-P, Bakker C, Poirier GG, Taneja N, Lopes M. Nucleoplasmic Lamin A/C controls replication fork restart upon stress by modulating local H3K9me3 and ADP-ribosylation levels. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66098-9
 License:CC BY 4.0 / Creative Commons Attribution 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nucleoplasmic-lamin-fork-restart
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s substantive coverage of the Lamin A/C–H3K9me3–PAR axis controlling fork slowdown and RECQ1 restart under mild replication stress, including roles of LAP2α, G9a, KDM3A, and ChromStretch mapping.- transcript topics: Lamin A/C dynamic interaction with replication factories; Acute Lamin A/C depletion and LAP2α effect on fork slowing; RECQ1-mediated fork restart and genetic rescue by RECQ1 depletion; Local PARylation at replication forks and Lamin A/C control; H3K9me3 accumulation at forks and maintenance by Lamin A/C via KDM3A; G9a-driven chromatin methylation and chromatin compaction
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Lamin A/C dynamically interacts with replication factories throughout the nucleus- Acute Lamin A/C depletion abolishes active fork slowing under mild replication stress; LAP2α depletion yields a similar pheno...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[232: Lamin A/C steers fork restart via H3K9me3 and PARylation]]>
                </itunes:title>
                                    <itunes:episode>232</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                    <![CDATA[<p>Cherdyntseva V et al., Nat Commun - Nucleoplasmic Lamin A/C, together with LAP2α, enforces active replication fork slowing during mild replication stress by promoting local H3K9me3 and ADP-ribosylation to restrain RECQ1-mediated restart and protect genome stability. Key terms: Lamin A/C, replication fork, H3K9me3, PARylation, RECQ1.</p>
<p> Study Highlights:<br />Lamin A/C dynamically associates with replication factories throughout the nucleus and its acute depletion abolishes stress-induced fork slowing and increases chromosomal breakage. Loss of nucleoplasmic Lamin A/C or LAP2α reduces poly-ADP-ribosylation (PAR) at nascent DNA, leading to untimely RECQ1-dependent restart of reversed forks. Mild replication stress induces accumulation of H3K9me3 at replication forks, and Lamin A/C is required to maintain this mark by preventing its removal by the demethylase KDM3A/JMJD1A. Inhibiting G9a to prevent H3K9 methylation phenocopies Lamin A/C loss, reducing PAR at forks and deregulating RECQ1 restart, whereas PARG inhibition or KDM3A downregulation restores PAR levels and fork slowing.</p>
<p> Conclusion:<br />Nucleoplasmic Lamin A/C maintains local chromatin compaction and PARylation at replication factories to limit RECQ1 activity, enforce fork slowing under mild stress, and preserve genome stability</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Nucleoplasmic Lamin A/C controls replication fork restart upon stress by modulating local H3K9me3 and ADP-ribosylation levels</p>
<p> First author:<br />Cherdyntseva V</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-66098-9</p>
<p> Reference:<br />Cherdyntseva V, Paulson J, González-Acosta D, Ubieto-Capella P, Rodrigues M, Aouami M, Adakli S, Gagné J-P, Bakker C, Poirier GG, Taneja N, Lopes M. Nucleoplasmic Lamin A/C controls replication fork restart upon stress by modulating local H3K9me3 and ADP-ribosylation levels. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66098-9</p>
<p> License:<br />CC BY 4.0 / Creative Commons Attribution 4.0 International License</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nucleoplasmic-lamin-fork-restart</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s substantive coverage of the Lamin A/C–H3K9me3–PAR axis controlling fork slowdown and RECQ1 restart under mild replication stress, including roles of LAP2α, G9a, KDM3A, and ChromStretch mapping.<br />- transcript topics: Lamin A/C dynamic interaction with replication factories; Acute Lamin A/C depletion and LAP2α effect on fork slowing; RECQ1-mediated fork restart and genetic rescue by RECQ1 depletion; Local PARylation at replication forks and Lamin A/C control; H3K9me3 accumulation at forks and maintenance by Lamin A/C via KDM3A; G9a-driven chromatin methylation and chromatin compaction</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Lamin A/C dynamically interacts with replication factories throughout the nucleus<br />- Acute Lamin A/C depletion abolishes active fork slowing under mild replication stress; LAP2α depletion yields a similar phenotype<br />- RECQ1 restart contributes to fork restart; RECQ1 depletion rescues slowed forks<br />- PARylation levels at replication forks are locally reduced after Lamin A/C loss and can be restored by PARG inhibition<br />- H3K9me3 accumulates at replication forks under mild replication stress and Lamin A/C maintains this mark by inhibiting the demethylase JMJD1A/KDM3A<br />- G9a inhibition phenocopies Lamin A/C loss, reducing PAR at forks and deregulating RECQ1 restart; PARG inhibition can rescue</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Cherdyntseva V et al., Nat Commun - Nucleoplasmic Lamin A/C, together with LAP2α, enforces active replication fork slowing during mild replication stress by promoting local H3K9me3 and ADP-ribosylation to restrain RECQ1-mediated restart and protect genome stability. Key terms: Lamin A/C, replication fork, H3K9me3, PARylation, RECQ1.
 Study Highlights:Lamin A/C dynamically associates with replication factories throughout the nucleus and its acute depletion abolishes stress-induced fork slowing and increases chromosomal breakage. Loss of nucleoplasmic Lamin A/C or LAP2α reduces poly-ADP-ribosylation (PAR) at nascent DNA, leading to untimely RECQ1-dependent restart of reversed forks. Mild replication stress induces accumulation of H3K9me3 at replication forks, and Lamin A/C is required to maintain this mark by preventing its removal by the demethylase KDM3A/JMJD1A. Inhibiting G9a to prevent H3K9 methylation phenocopies Lamin A/C loss, reducing PAR at forks and deregulating RECQ1 restart, whereas PARG inhibition or KDM3A downregulation restores PAR levels and fork slowing.
 Conclusion:Nucleoplasmic Lamin A/C maintains local chromatin compaction and PARylation at replication factories to limit RECQ1 activity, enforce fork slowing under mild stress, and preserve genome stability
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Nucleoplasmic Lamin A/C controls replication fork restart upon stress by modulating local H3K9me3 and ADP-ribosylation levels
 First author:Cherdyntseva V
 Journal:Nat Commun
 DOI:10.1038/s41467-025-66098-9
 Reference:Cherdyntseva V, Paulson J, González-Acosta D, Ubieto-Capella P, Rodrigues M, Aouami M, Adakli S, Gagné J-P, Bakker C, Poirier GG, Taneja N, Lopes M. Nucleoplasmic Lamin A/C controls replication fork restart upon stress by modulating local H3K9me3 and ADP-ribosylation levels. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66098-9
 License:CC BY 4.0 / Creative Commons Attribution 4.0 International License
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nucleoplasmic-lamin-fork-restart
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s substantive coverage of the Lamin A/C–H3K9me3–PAR axis controlling fork slowdown and RECQ1 restart under mild replication stress, including roles of LAP2α, G9a, KDM3A, and ChromStretch mapping.- transcript topics: Lamin A/C dynamic interaction with replication factories; Acute Lamin A/C depletion and LAP2α effect on fork slowing; RECQ1-mediated fork restart and genetic rescue by RECQ1 depletion; Local PARylation at replication forks and Lamin A/C control; H3K9me3 accumulation at forks and maintenance by Lamin A/C via KDM3A; G9a-driven chromatin methylation and chromatin compaction
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Lamin A/C dynamically interacts with replication factories throughout the nucleus- Acute Lamin A/C depletion abolishes active fork slowing under mild replication stress; LAP2α depletion yields a similar pheno...]]>
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                                                                            <itunes:duration>00:17:58</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                    <item>
                <title>
                    <![CDATA[231: Transcription start sites as a germline mutational hotspot]]>
                </title>
                <pubDate>Wed, 17 Dec 2025 12:40:33 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                    <link>https://basebybase.castos.com/episodes/tss-hotspot-early-development</link>
                                <description>
                                            <![CDATA[<p>Cortés Guzmán M et al., Nat Commun - This study identifies a pronounced germline mutational hotspot centered on transcription start sites (TSSs) driven in part by early embryonic mosaic variants and transcription-associated DNA damage. Key terms: transcription-start-sites, early-mosaicism, double-strand-breaks, mutational-signatures, promoter-mutations.</p>
<p> Study Highlights:<br />Extremely rare variants show a localized excess of non(CpG &gt; TpG) mutations around TSSs extending several hundred base pairs, reaching ~35% enrichment at the 100-bp scale and ~14% at 1 kb. The hotspot is largely absent from de novo mutation calls because early mosaic variants are significantly enriched downstream of the TSS and are often filtered from family sequencing data. Regression and feature analyses link the TSS excess to divergent transcription, RNA polymerase II stalling, R-loop formation and somatic (mitotic) double-strand breaks rather than meiotic PRDM9-associated breaks. Mutational signature decomposition implicates non-canonical DSB repair (including TMEJ) and transcription-associated processes, and the hotspot preferentially affects genes related to cancer and developmental phenotypes.</p>
<p> Conclusion:<br />Transcription initiation regions are focal points of heritable variation shaped by early-development mosaicism and transcription-linked mitotic DNA damage, with implications for disease genetics and evolutionary constraint</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Cortés Guzmán M</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66201-0</p>
<p> Reference:<br />Cortés Guzmán M, Castellano D, Serrano Colomé C, Seplyarskiy V, Weghorn D. Transcription start sites experience a high influx of heritable variants fueled by early development. Nat Commun. 2025;16:10120. https://doi.org/10.1038/s41467-025-66201-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/tss-hotspot-early-development</p>
<p>️ Episode:<br />231: Transcription start sites as a germline mutational hotspot</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Transcription start sites experience a high influx of heritable variants fueled by early development</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript's articulation of the TSS mutational hotspot, early mosaic enrichment, drivers (divergent transcription, RNAP II stalling, R-loops), mitotic DSBs vs meiotic DSBs, mutational signatures, timing in early embryogenesis, and disease/evolutionary implications of the hotspot.<br />- transcript topics: Germline transcription start-site (TSS) mutational hotspot; Early mosaic variants and DNMs vs ERVs; Divergent transcription, RNAP II stalling, and R-loop formation as drivers; Mitotic vs meiotic double-strand breaks; Mutational signatures around the TSS (SBS3, SBS40b, SBS40c, SBS39); Timing during early embryogenesis (4-cell to 8-cell transition)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_d...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Cortés Guzmán M et al., Nat Commun - This study identifies a pronounced germline mutational hotspot centered on transcription start sites (TSSs) driven in part by early embryonic mosaic variants and transcription-associated DNA damage. Key terms: transcription-start-sites, early-mosaicism, double-strand-breaks, mutational-signatures, promoter-mutations.
 Study Highlights:Extremely rare variants show a localized excess of non(CpG > TpG) mutations around TSSs extending several hundred base pairs, reaching ~35% enrichment at the 100-bp scale and ~14% at 1 kb. The hotspot is largely absent from de novo mutation calls because early mosaic variants are significantly enriched downstream of the TSS and are often filtered from family sequencing data. Regression and feature analyses link the TSS excess to divergent transcription, RNA polymerase II stalling, R-loop formation and somatic (mitotic) double-strand breaks rather than meiotic PRDM9-associated breaks. Mutational signature decomposition implicates non-canonical DSB repair (including TMEJ) and transcription-associated processes, and the hotspot preferentially affects genes related to cancer and developmental phenotypes.
 Conclusion:Transcription initiation regions are focal points of heritable variation shaped by early-development mosaicism and transcription-linked mitotic DNA damage, with implications for disease genetics and evolutionary constraint
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Cortés Guzmán M
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66201-0
 Reference:Cortés Guzmán M, Castellano D, Serrano Colomé C, Seplyarskiy V, Weghorn D. Transcription start sites experience a high influx of heritable variants fueled by early development. Nat Commun. 2025;16:10120. https://doi.org/10.1038/s41467-025-66201-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/tss-hotspot-early-development
️ Episode:231: Transcription start sites as a germline mutational hotspot
️ Season:1
 Article title:Transcription start sites experience a high influx of heritable variants fueled by early development
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript's articulation of the TSS mutational hotspot, early mosaic enrichment, drivers (divergent transcription, RNAP II stalling, R-loops), mitotic DSBs vs meiotic DSBs, mutational signatures, timing in early embryogenesis, and disease/evolutionary implications of the hotspot.- transcript topics: Germline transcription start-site (TSS) mutational hotspot; Early mosaic variants and DNMs vs ERVs; Divergent transcription, RNAP II stalling, and R-loop formation as drivers; Mitotic vs meiotic double-strand breaks; Mutational signatures around the TSS (SBS3, SBS40b, SBS40c, SBS39); Timing during early embryogenesis (4-cell to 8-cell transition)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_d...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[231: Transcription start sites as a germline mutational hotspot]]>
                </itunes:title>
                                    <itunes:episode>231</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Cortés Guzmán M et al., Nat Commun - This study identifies a pronounced germline mutational hotspot centered on transcription start sites (TSSs) driven in part by early embryonic mosaic variants and transcription-associated DNA damage. Key terms: transcription-start-sites, early-mosaicism, double-strand-breaks, mutational-signatures, promoter-mutations.</p>
<p> Study Highlights:<br />Extremely rare variants show a localized excess of non(CpG &gt; TpG) mutations around TSSs extending several hundred base pairs, reaching ~35% enrichment at the 100-bp scale and ~14% at 1 kb. The hotspot is largely absent from de novo mutation calls because early mosaic variants are significantly enriched downstream of the TSS and are often filtered from family sequencing data. Regression and feature analyses link the TSS excess to divergent transcription, RNA polymerase II stalling, R-loop formation and somatic (mitotic) double-strand breaks rather than meiotic PRDM9-associated breaks. Mutational signature decomposition implicates non-canonical DSB repair (including TMEJ) and transcription-associated processes, and the hotspot preferentially affects genes related to cancer and developmental phenotypes.</p>
<p> Conclusion:<br />Transcription initiation regions are focal points of heritable variation shaped by early-development mosaicism and transcription-linked mitotic DNA damage, with implications for disease genetics and evolutionary constraint</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Cortés Guzmán M</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66201-0</p>
<p> Reference:<br />Cortés Guzmán M, Castellano D, Serrano Colomé C, Seplyarskiy V, Weghorn D. Transcription start sites experience a high influx of heritable variants fueled by early development. Nat Commun. 2025;16:10120. https://doi.org/10.1038/s41467-025-66201-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/tss-hotspot-early-development</p>
<p>️ Episode:<br />231: Transcription start sites as a germline mutational hotspot</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Transcription start sites experience a high influx of heritable variants fueled by early development</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript's articulation of the TSS mutational hotspot, early mosaic enrichment, drivers (divergent transcription, RNAP II stalling, R-loops), mitotic DSBs vs meiotic DSBs, mutational signatures, timing in early embryogenesis, and disease/evolutionary implications of the hotspot.<br />- transcript topics: Germline transcription start-site (TSS) mutational hotspot; Early mosaic variants and DNMs vs ERVs; Divergent transcription, RNAP II stalling, and R-loop formation as drivers; Mitotic vs meiotic double-strand breaks; Mutational signatures around the TSS (SBS3, SBS40b, SBS40c, SBS39); Timing during early embryogenesis (4-cell to 8-cell transition)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Existence of a germline TSS mutational hotspot spanning hundreds of base pairs around the transcription start site (TSS).<br />- Hotspot not detectable in de novo mutation data due to enrichment of early mosaic variants and filtering in family sequencing data.<br />- Strong downstream enrichment of early mosaic variants immediately downstream of the TSS.<br />- Mutational hotspot associated with divergent transcription, RNA polymerase II stalling, and R-loops; linked to mitotic double-strand breaks but not meiotic breaks.<br />- Mutational signatures around the TSS implicate non-canonical DSB repair and transcription-associated mutagenesis (SBS3, SBS40b, SBS40c, SBS39).<br />- Temporal link: mutagenesis intensifies during the major transcriptional state shift between the 4-cell and 8-cell stages of development.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2292854/c1e-9xq68bd8x5rb0k0nv-6z9pd8r8f0ow-4kenmw.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2292854&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Ftss-hotspot-early-development&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=fd790337b7cf6e446c96cb0826b87d439f727eb895307b0bdd44b9e08526e8bd" length="24644781"
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                                <itunes:summary>
                    <![CDATA[Cortés Guzmán M et al., Nat Commun - This study identifies a pronounced germline mutational hotspot centered on transcription start sites (TSSs) driven in part by early embryonic mosaic variants and transcription-associated DNA damage. Key terms: transcription-start-sites, early-mosaicism, double-strand-breaks, mutational-signatures, promoter-mutations.
 Study Highlights:Extremely rare variants show a localized excess of non(CpG > TpG) mutations around TSSs extending several hundred base pairs, reaching ~35% enrichment at the 100-bp scale and ~14% at 1 kb. The hotspot is largely absent from de novo mutation calls because early mosaic variants are significantly enriched downstream of the TSS and are often filtered from family sequencing data. Regression and feature analyses link the TSS excess to divergent transcription, RNA polymerase II stalling, R-loop formation and somatic (mitotic) double-strand breaks rather than meiotic PRDM9-associated breaks. Mutational signature decomposition implicates non-canonical DSB repair (including TMEJ) and transcription-associated processes, and the hotspot preferentially affects genes related to cancer and developmental phenotypes.
 Conclusion:Transcription initiation regions are focal points of heritable variation shaped by early-development mosaicism and transcription-linked mitotic DNA damage, with implications for disease genetics and evolutionary constraint
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Cortés Guzmán M
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66201-0
 Reference:Cortés Guzmán M, Castellano D, Serrano Colomé C, Seplyarskiy V, Weghorn D. Transcription start sites experience a high influx of heritable variants fueled by early development. Nat Commun. 2025;16:10120. https://doi.org/10.1038/s41467-025-66201-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/tss-hotspot-early-development
️ Episode:231: Transcription start sites as a germline mutational hotspot
️ Season:1
 Article title:Transcription start sites experience a high influx of heritable variants fueled by early development
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript's articulation of the TSS mutational hotspot, early mosaic enrichment, drivers (divergent transcription, RNAP II stalling, R-loops), mitotic DSBs vs meiotic DSBs, mutational signatures, timing in early embryogenesis, and disease/evolutionary implications of the hotspot.- transcript topics: Germline transcription start-site (TSS) mutational hotspot; Early mosaic variants and DNMs vs ERVs; Divergent transcription, RNAP II stalling, and R-loop formation as drivers; Mitotic vs meiotic double-strand breaks; Mutational signatures around the TSS (SBS3, SBS40b, SBS40c, SBS39); Timing during early embryogenesis (4-cell to 8-cell transition)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_d...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:17:01</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                <title>
                    <![CDATA[230: MIDEAS Y654S hyperactivates MiDAC in a dominant neurodevelopmental syndrome]]>
                </title>
                <pubDate>Wed, 17 Dec 2025 05:18:17 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2292845</guid>
                                    <link>https://basebybase.castos.com/episodes/mideas-y654s-midac-hyperactivity</link>
                                <description>
                                            <![CDATA[<p>Sirvydis K et al., Nat Commun - A recurrent de novo MIDEAS p.Tyr654Ser variant disrupts an autoinhibitory loop in the MiDAC complex, increasing HDAC1 deacetylase activity and causing a multisystem neurodevelopmental disorder. Key terms: MIDEAS, MiDAC, HDAC1, neurodevelopmental disorder, Y654S.</p>
<p> Study Highlights:<br />Two unrelated probands carry the same de novo heterozygous MIDEAS p.Tyr654Ser variant and present with speech delay, progressive joint contractures, facial dysmorphism and gastrointestinal dysmotility. A 2.9 Å cryo-EM structure shows Y654 lies in a conserved loop of MIDEAS that covers the HDAC1 active site and positions I659 into the active site channel. The Y654S change creates an STP CDK consensus site that is highly phosphorylated and leads to displacement of the inhibitory loop, producing a 3–5-fold increase in MiDAC deacetylase activity in vitro. Patient fibroblast transcriptomes display largely reciprocal gene expression changes compared with MiDAC-depleted cells, and MiDAC loss upregulates MAP2K6 and MAP2K3 implicating p38 MAPK pathway involvement.</p>
<p> Conclusion:<br />MIDEAS p.Tyr654Ser is a dominant monogenic cause of a neurodevelopmental syndrome driven by hyperactivity of the MiDAC HDAC complex</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Sirvydis K</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65472-x</p>
<p> Reference:<br />Sirvydis K., Fairall L., Knottnerus SJG., Gonchar O., Muskett FW., Jukes-Jones R., van Brussel L., van de Geer E., van Gassen K., Badenhorst P., van Hasselt PM., van Jaarsveld RH., Schwabe J.W.R., et al. A de novo missense variant in MIDEAS results in increased deacetylase activity of the MiDAC HDAC complex causing a neurodevelopmental syndrome. Nat Commun. 2025;16:10472. https://doi.org/10.1038/s41467-025-65472-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mideas-y654s-midac-hyperactivity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's presentation of the paper's central mechanism: Y654S in MIDEAS causing MiDAC hyperactivity via disruption of an autoinhibitory loop; structural basis from cryo-EM; enzymatic gain-of-function; downstream gene expression and MAPK pathway implications; clinical phenotype overlap with related syndr<br />- transcript topics: MiDAC/MIDEAS composition and function; Y654S de novo variant and clinical phenotype; Cryo-EM structure showing autoinhibitory loop; HDAC activity assays and gain-of-function; CDK phosphorylation site creation and PTMs; Reciprocal gene expression changes and MAPK signaling</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Two unrelated probands carry de novo MIDEAS p.Tyr654Ser (Y654S) variant with overlapping neurodevelopmental features<br />- Y654S disrupts an autoinhibitory loop over the HDAC1 active site, leading to MiDAC hyperactivity<br />- Y654S creates a CD...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sirvydis K et al., Nat Commun - A recurrent de novo MIDEAS p.Tyr654Ser variant disrupts an autoinhibitory loop in the MiDAC complex, increasing HDAC1 deacetylase activity and causing a multisystem neurodevelopmental disorder. Key terms: MIDEAS, MiDAC, HDAC1, neurodevelopmental disorder, Y654S.
 Study Highlights:Two unrelated probands carry the same de novo heterozygous MIDEAS p.Tyr654Ser variant and present with speech delay, progressive joint contractures, facial dysmorphism and gastrointestinal dysmotility. A 2.9 Å cryo-EM structure shows Y654 lies in a conserved loop of MIDEAS that covers the HDAC1 active site and positions I659 into the active site channel. The Y654S change creates an STP CDK consensus site that is highly phosphorylated and leads to displacement of the inhibitory loop, producing a 3–5-fold increase in MiDAC deacetylase activity in vitro. Patient fibroblast transcriptomes display largely reciprocal gene expression changes compared with MiDAC-depleted cells, and MiDAC loss upregulates MAP2K6 and MAP2K3 implicating p38 MAPK pathway involvement.
 Conclusion:MIDEAS p.Tyr654Ser is a dominant monogenic cause of a neurodevelopmental syndrome driven by hyperactivity of the MiDAC HDAC complex
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Sirvydis K
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65472-x
 Reference:Sirvydis K., Fairall L., Knottnerus SJG., Gonchar O., Muskett FW., Jukes-Jones R., van Brussel L., van de Geer E., van Gassen K., Badenhorst P., van Hasselt PM., van Jaarsveld RH., Schwabe J.W.R., et al. A de novo missense variant in MIDEAS results in increased deacetylase activity of the MiDAC HDAC complex causing a neurodevelopmental syndrome. Nat Commun. 2025;16:10472. https://doi.org/10.1038/s41467-025-65472-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mideas-y654s-midac-hyperactivity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's presentation of the paper's central mechanism: Y654S in MIDEAS causing MiDAC hyperactivity via disruption of an autoinhibitory loop; structural basis from cryo-EM; enzymatic gain-of-function; downstream gene expression and MAPK pathway implications; clinical phenotype overlap with related syndr- transcript topics: MiDAC/MIDEAS composition and function; Y654S de novo variant and clinical phenotype; Cryo-EM structure showing autoinhibitory loop; HDAC activity assays and gain-of-function; CDK phosphorylation site creation and PTMs; Reciprocal gene expression changes and MAPK signaling
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Two unrelated probands carry de novo MIDEAS p.Tyr654Ser (Y654S) variant with overlapping neurodevelopmental features- Y654S disrupts an autoinhibitory loop over the HDAC1 active site, leading to MiDAC hyperactivity- Y654S creates a CD...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[230: MIDEAS Y654S hyperactivates MiDAC in a dominant neurodevelopmental syndrome]]>
                </itunes:title>
                                    <itunes:episode>230</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sirvydis K et al., Nat Commun - A recurrent de novo MIDEAS p.Tyr654Ser variant disrupts an autoinhibitory loop in the MiDAC complex, increasing HDAC1 deacetylase activity and causing a multisystem neurodevelopmental disorder. Key terms: MIDEAS, MiDAC, HDAC1, neurodevelopmental disorder, Y654S.</p>
<p> Study Highlights:<br />Two unrelated probands carry the same de novo heterozygous MIDEAS p.Tyr654Ser variant and present with speech delay, progressive joint contractures, facial dysmorphism and gastrointestinal dysmotility. A 2.9 Å cryo-EM structure shows Y654 lies in a conserved loop of MIDEAS that covers the HDAC1 active site and positions I659 into the active site channel. The Y654S change creates an STP CDK consensus site that is highly phosphorylated and leads to displacement of the inhibitory loop, producing a 3–5-fold increase in MiDAC deacetylase activity in vitro. Patient fibroblast transcriptomes display largely reciprocal gene expression changes compared with MiDAC-depleted cells, and MiDAC loss upregulates MAP2K6 and MAP2K3 implicating p38 MAPK pathway involvement.</p>
<p> Conclusion:<br />MIDEAS p.Tyr654Ser is a dominant monogenic cause of a neurodevelopmental syndrome driven by hyperactivity of the MiDAC HDAC complex</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Sirvydis K</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65472-x</p>
<p> Reference:<br />Sirvydis K., Fairall L., Knottnerus SJG., Gonchar O., Muskett FW., Jukes-Jones R., van Brussel L., van de Geer E., van Gassen K., Badenhorst P., van Hasselt PM., van Jaarsveld RH., Schwabe J.W.R., et al. A de novo missense variant in MIDEAS results in increased deacetylase activity of the MiDAC HDAC complex causing a neurodevelopmental syndrome. Nat Commun. 2025;16:10472. https://doi.org/10.1038/s41467-025-65472-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mideas-y654s-midac-hyperactivity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's presentation of the paper's central mechanism: Y654S in MIDEAS causing MiDAC hyperactivity via disruption of an autoinhibitory loop; structural basis from cryo-EM; enzymatic gain-of-function; downstream gene expression and MAPK pathway implications; clinical phenotype overlap with related syndr<br />- transcript topics: MiDAC/MIDEAS composition and function; Y654S de novo variant and clinical phenotype; Cryo-EM structure showing autoinhibitory loop; HDAC activity assays and gain-of-function; CDK phosphorylation site creation and PTMs; Reciprocal gene expression changes and MAPK signaling</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Two unrelated probands carry de novo MIDEAS p.Tyr654Ser (Y654S) variant with overlapping neurodevelopmental features<br />- Y654S disrupts an autoinhibitory loop over the HDAC1 active site, leading to MiDAC hyperactivity<br />- Y654S creates a CDK phosphorylation site (STP) with phosphorylation detected, plausibly driving loop displacement<br />- Y654S complex shows 3–5-fold increased deacetylase activity compared with wild-type/loop-present complex<br />- Patient fibroblast expression changes reciprocally with MiDAC depletion; MAP2K6/MAP2K3 upregulation linked to MAPK signaling<br />- MiDAC acts as a brake on the p38 MAPK cascade; hyperactivity may drive the neurodevelopmental syndrome</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Sirvydis K et al., Nat Commun - A recurrent de novo MIDEAS p.Tyr654Ser variant disrupts an autoinhibitory loop in the MiDAC complex, increasing HDAC1 deacetylase activity and causing a multisystem neurodevelopmental disorder. Key terms: MIDEAS, MiDAC, HDAC1, neurodevelopmental disorder, Y654S.
 Study Highlights:Two unrelated probands carry the same de novo heterozygous MIDEAS p.Tyr654Ser variant and present with speech delay, progressive joint contractures, facial dysmorphism and gastrointestinal dysmotility. A 2.9 Å cryo-EM structure shows Y654 lies in a conserved loop of MIDEAS that covers the HDAC1 active site and positions I659 into the active site channel. The Y654S change creates an STP CDK consensus site that is highly phosphorylated and leads to displacement of the inhibitory loop, producing a 3–5-fold increase in MiDAC deacetylase activity in vitro. Patient fibroblast transcriptomes display largely reciprocal gene expression changes compared with MiDAC-depleted cells, and MiDAC loss upregulates MAP2K6 and MAP2K3 implicating p38 MAPK pathway involvement.
 Conclusion:MIDEAS p.Tyr654Ser is a dominant monogenic cause of a neurodevelopmental syndrome driven by hyperactivity of the MiDAC HDAC complex
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Sirvydis K
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65472-x
 Reference:Sirvydis K., Fairall L., Knottnerus SJG., Gonchar O., Muskett FW., Jukes-Jones R., van Brussel L., van de Geer E., van Gassen K., Badenhorst P., van Hasselt PM., van Jaarsveld RH., Schwabe J.W.R., et al. A de novo missense variant in MIDEAS results in increased deacetylase activity of the MiDAC HDAC complex causing a neurodevelopmental syndrome. Nat Commun. 2025;16:10472. https://doi.org/10.1038/s41467-025-65472-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mideas-y654s-midac-hyperactivity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's presentation of the paper's central mechanism: Y654S in MIDEAS causing MiDAC hyperactivity via disruption of an autoinhibitory loop; structural basis from cryo-EM; enzymatic gain-of-function; downstream gene expression and MAPK pathway implications; clinical phenotype overlap with related syndr- transcript topics: MiDAC/MIDEAS composition and function; Y654S de novo variant and clinical phenotype; Cryo-EM structure showing autoinhibitory loop; HDAC activity assays and gain-of-function; CDK phosphorylation site creation and PTMs; Reciprocal gene expression changes and MAPK signaling
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Two unrelated probands carry de novo MIDEAS p.Tyr654Ser (Y654S) variant with overlapping neurodevelopmental features- Y654S disrupts an autoinhibitory loop over the HDAC1 active site, leading to MiDAC hyperactivity- Y654S creates a CD...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2292845/c1a-p6xp7-6z8w22doc810-kkxv3y.png"></itunes:image>
                                                                            <itunes:duration>00:18:27</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[229: Inhibiting PCBP2 condensates in Alzheimer’s]]>
                </title>
                <pubDate>Mon, 15 Dec 2025 06:39:59 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2289106</guid>
                                    <link>https://basebybase.castos.com/episodes/pcbp2-condensates-alzheimers</link>
                                <description>
                                            <![CDATA[<p>Wang L et al., Nat Commun - Elevated PCBP2 forms liquid-like condensates that sequester mitochondrial and RNA-binding proteins, stabilize BACE1 mRNA, and promote amyloid pathology while the small molecule CN-0928 reduces PCBP2 via INTS1 to lower Aβ and improve cognition in AD models. Key terms: PCBP2, biomolecular condensates, BACE1, CN-0928, mitochondria.</p>
<p> Study Highlights:<br />PCBP2 protein is increased in AD patient brains and AD mouse models and forms enlarged, dynamic cytoplasmic condensates that undergo LLPS in vitro and in cells. PCBP2 condensates concentrate mitochondrial proteins and RNA-binding/NMD factors including UPF1, correlating with disrupted mitochondrial morphology, increased ROS, and reduced mitochondrial respiration. PCBP2 stabilizes BACE1 mRNA by sequestering NMD components into condensates and thereby impairs 3′UTR-dependent decay. The small molecule CN-0928 binds INTS1 at Arg-1404, lowers PCBP2 transcription and protein levels, reduces condensates, decreases BACE1 and Aβ, and improves cognitive performance in 5×FAD mice</p>
<p> Conclusion:<br />Targeting PCBP2 biomolecular condensates via INTS1 with CN-0928 offers a novel strategy to mitigate mitochondrial dysfunction and BACE1-driven amyloidogenesis in Alzheimer’s disease</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Wang L</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65547-9</p>
<p> Reference:<br />Wang L, Xie X-Y, Pan Q-L, Zhang J, Zhou G-F, Zhang Q-L, Yan X-X, Xiang Y, Li C-L, He Y, Xiang X-J, Deng X-J, Wang Y-J, Zhou J-Y, Nie S &amp; Chen G-J. Pharmacologic inhibition of PCBP2 biomolecular condensates relieves Alzheimer’s disease. Nat Commun. 2025;16:10514. https://doi.org/10.1038/s41467-025-65547-9</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pcbp2-condensates-alzheimers</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the central mechanistic narrative (PCBP2 condensates, LLPS, mitochondrial sequestration, UPF1/BACE1 3'UTR regulation) and the therapeutic axis (CN-0928/INTS1) with in vivo cognitive outcomes in mouse models.<br />- transcript topics: PCBP2 elevation and LLPS condensates in AD models; Sequestration of mitochondrial proteins and UPF1; Mitochondrial dysfunction and ROS/ respiration effects; BACE1 mRNA stability via 3'UTR and UPF1 sequestration; CN-0928 reduces PCBP2 condensates and lowers BACE1/Aβ; INTS1 as CN-0928 target and Arg-1404 binding site</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PCBP2 levels elevated in AD brains and in AD mouse models<br />- PCBP2 forms biomolecular condensates that undergo LLPS<br />- PCBP2 condensates sequester mitochondrial proteins and UPF1<br />- Sequestration links to mitochondrial dysfunction (morphology, ROS, respiration)<br />- PCBP2 stabilizes BACE1 mRNA via 3'UTR and reduces mRNA decay<br />- CN-0928 reduces PCBP2 and condensates, lowers BAC...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Wang L et al., Nat Commun - Elevated PCBP2 forms liquid-like condensates that sequester mitochondrial and RNA-binding proteins, stabilize BACE1 mRNA, and promote amyloid pathology while the small molecule CN-0928 reduces PCBP2 via INTS1 to lower Aβ and improve cognition in AD models. Key terms: PCBP2, biomolecular condensates, BACE1, CN-0928, mitochondria.
 Study Highlights:PCBP2 protein is increased in AD patient brains and AD mouse models and forms enlarged, dynamic cytoplasmic condensates that undergo LLPS in vitro and in cells. PCBP2 condensates concentrate mitochondrial proteins and RNA-binding/NMD factors including UPF1, correlating with disrupted mitochondrial morphology, increased ROS, and reduced mitochondrial respiration. PCBP2 stabilizes BACE1 mRNA by sequestering NMD components into condensates and thereby impairs 3′UTR-dependent decay. The small molecule CN-0928 binds INTS1 at Arg-1404, lowers PCBP2 transcription and protein levels, reduces condensates, decreases BACE1 and Aβ, and improves cognitive performance in 5×FAD mice
 Conclusion:Targeting PCBP2 biomolecular condensates via INTS1 with CN-0928 offers a novel strategy to mitigate mitochondrial dysfunction and BACE1-driven amyloidogenesis in Alzheimer’s disease
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Wang L
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65547-9
 Reference:Wang L, Xie X-Y, Pan Q-L, Zhang J, Zhou G-F, Zhang Q-L, Yan X-X, Xiang Y, Li C-L, He Y, Xiang X-J, Deng X-J, Wang Y-J, Zhou J-Y, Nie S & Chen G-J. Pharmacologic inhibition of PCBP2 biomolecular condensates relieves Alzheimer’s disease. Nat Commun. 2025;16:10514. https://doi.org/10.1038/s41467-025-65547-9
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pcbp2-condensates-alzheimers
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the central mechanistic narrative (PCBP2 condensates, LLPS, mitochondrial sequestration, UPF1/BACE1 3'UTR regulation) and the therapeutic axis (CN-0928/INTS1) with in vivo cognitive outcomes in mouse models.- transcript topics: PCBP2 elevation and LLPS condensates in AD models; Sequestration of mitochondrial proteins and UPF1; Mitochondrial dysfunction and ROS/ respiration effects; BACE1 mRNA stability via 3'UTR and UPF1 sequestration; CN-0928 reduces PCBP2 condensates and lowers BACE1/Aβ; INTS1 as CN-0928 target and Arg-1404 binding site
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- PCBP2 levels elevated in AD brains and in AD mouse models- PCBP2 forms biomolecular condensates that undergo LLPS- PCBP2 condensates sequester mitochondrial proteins and UPF1- Sequestration links to mitochondrial dysfunction (morphology, ROS, respiration)- PCBP2 stabilizes BACE1 mRNA via 3'UTR and reduces mRNA decay- CN-0928 reduces PCBP2 and condensates, lowers BAC...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[229: Inhibiting PCBP2 condensates in Alzheimer’s]]>
                </itunes:title>
                                    <itunes:episode>229</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Wang L et al., Nat Commun - Elevated PCBP2 forms liquid-like condensates that sequester mitochondrial and RNA-binding proteins, stabilize BACE1 mRNA, and promote amyloid pathology while the small molecule CN-0928 reduces PCBP2 via INTS1 to lower Aβ and improve cognition in AD models. Key terms: PCBP2, biomolecular condensates, BACE1, CN-0928, mitochondria.</p>
<p> Study Highlights:<br />PCBP2 protein is increased in AD patient brains and AD mouse models and forms enlarged, dynamic cytoplasmic condensates that undergo LLPS in vitro and in cells. PCBP2 condensates concentrate mitochondrial proteins and RNA-binding/NMD factors including UPF1, correlating with disrupted mitochondrial morphology, increased ROS, and reduced mitochondrial respiration. PCBP2 stabilizes BACE1 mRNA by sequestering NMD components into condensates and thereby impairs 3′UTR-dependent decay. The small molecule CN-0928 binds INTS1 at Arg-1404, lowers PCBP2 transcription and protein levels, reduces condensates, decreases BACE1 and Aβ, and improves cognitive performance in 5×FAD mice</p>
<p> Conclusion:<br />Targeting PCBP2 biomolecular condensates via INTS1 with CN-0928 offers a novel strategy to mitigate mitochondrial dysfunction and BACE1-driven amyloidogenesis in Alzheimer’s disease</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Wang L</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65547-9</p>
<p> Reference:<br />Wang L, Xie X-Y, Pan Q-L, Zhang J, Zhou G-F, Zhang Q-L, Yan X-X, Xiang Y, Li C-L, He Y, Xiang X-J, Deng X-J, Wang Y-J, Zhou J-Y, Nie S &amp; Chen G-J. Pharmacologic inhibition of PCBP2 biomolecular condensates relieves Alzheimer’s disease. Nat Commun. 2025;16:10514. https://doi.org/10.1038/s41467-025-65547-9</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pcbp2-condensates-alzheimers</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the central mechanistic narrative (PCBP2 condensates, LLPS, mitochondrial sequestration, UPF1/BACE1 3'UTR regulation) and the therapeutic axis (CN-0928/INTS1) with in vivo cognitive outcomes in mouse models.<br />- transcript topics: PCBP2 elevation and LLPS condensates in AD models; Sequestration of mitochondrial proteins and UPF1; Mitochondrial dysfunction and ROS/ respiration effects; BACE1 mRNA stability via 3'UTR and UPF1 sequestration; CN-0928 reduces PCBP2 condensates and lowers BACE1/Aβ; INTS1 as CN-0928 target and Arg-1404 binding site</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PCBP2 levels elevated in AD brains and in AD mouse models<br />- PCBP2 forms biomolecular condensates that undergo LLPS<br />- PCBP2 condensates sequester mitochondrial proteins and UPF1<br />- Sequestration links to mitochondrial dysfunction (morphology, ROS, respiration)<br />- PCBP2 stabilizes BACE1 mRNA via 3'UTR and reduces mRNA decay<br />- CN-0928 reduces PCBP2 and condensates, lowers BACE1 and Aβ, improves cognition in 5×FAD mice</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Wang L et al., Nat Commun - Elevated PCBP2 forms liquid-like condensates that sequester mitochondrial and RNA-binding proteins, stabilize BACE1 mRNA, and promote amyloid pathology while the small molecule CN-0928 reduces PCBP2 via INTS1 to lower Aβ and improve cognition in AD models. Key terms: PCBP2, biomolecular condensates, BACE1, CN-0928, mitochondria.
 Study Highlights:PCBP2 protein is increased in AD patient brains and AD mouse models and forms enlarged, dynamic cytoplasmic condensates that undergo LLPS in vitro and in cells. PCBP2 condensates concentrate mitochondrial proteins and RNA-binding/NMD factors including UPF1, correlating with disrupted mitochondrial morphology, increased ROS, and reduced mitochondrial respiration. PCBP2 stabilizes BACE1 mRNA by sequestering NMD components into condensates and thereby impairs 3′UTR-dependent decay. The small molecule CN-0928 binds INTS1 at Arg-1404, lowers PCBP2 transcription and protein levels, reduces condensates, decreases BACE1 and Aβ, and improves cognitive performance in 5×FAD mice
 Conclusion:Targeting PCBP2 biomolecular condensates via INTS1 with CN-0928 offers a novel strategy to mitigate mitochondrial dysfunction and BACE1-driven amyloidogenesis in Alzheimer’s disease
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Wang L
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65547-9
 Reference:Wang L, Xie X-Y, Pan Q-L, Zhang J, Zhou G-F, Zhang Q-L, Yan X-X, Xiang Y, Li C-L, He Y, Xiang X-J, Deng X-J, Wang Y-J, Zhou J-Y, Nie S & Chen G-J. Pharmacologic inhibition of PCBP2 biomolecular condensates relieves Alzheimer’s disease. Nat Commun. 2025;16:10514. https://doi.org/10.1038/s41467-025-65547-9
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pcbp2-condensates-alzheimers
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the central mechanistic narrative (PCBP2 condensates, LLPS, mitochondrial sequestration, UPF1/BACE1 3'UTR regulation) and the therapeutic axis (CN-0928/INTS1) with in vivo cognitive outcomes in mouse models.- transcript topics: PCBP2 elevation and LLPS condensates in AD models; Sequestration of mitochondrial proteins and UPF1; Mitochondrial dysfunction and ROS/ respiration effects; BACE1 mRNA stability via 3'UTR and UPF1 sequestration; CN-0928 reduces PCBP2 condensates and lowers BACE1/Aβ; INTS1 as CN-0928 target and Arg-1404 binding site
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- PCBP2 levels elevated in AD brains and in AD mouse models- PCBP2 forms biomolecular condensates that undergo LLPS- PCBP2 condensates sequester mitochondrial proteins and UPF1- Sequestration links to mitochondrial dysfunction (morphology, ROS, respiration)- PCBP2 stabilizes BACE1 mRNA via 3'UTR and reduces mRNA decay- CN-0928 reduces PCBP2 and condensates, lowers BAC...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2289106/c1a-p6xp7-z319vg57anv0-t4k7ya.png"></itunes:image>
                                                                            <itunes:duration>00:19:55</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[228: Two non-competing H3N2 stem antibodies reveal evolving antigenicity]]>
                </title>
                <pubDate>Sun, 14 Dec 2025 10:15:41 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2287925</guid>
                                    <link>https://basebybase.castos.com/episodes/h3n2-stem-antibodies-evolution</link>
                                <description>
                                            <![CDATA[<p>Gopal AB et al., Nat Commun - Structural and functional characterization of two group 2 H3 HA stem antibodies, 2F02 and AG2-G02, shows distinct non-overlapping epitopes, protection in mice, and antigenic changes driven by HA2 position 32 that limit AG2-G02 binding. Key terms: influenza H3N2, hemagglutinin stem, broadly neutralizing antibodies, antigenic evolution, vaccine design.</p>
<p> Study Highlights:<br />Cryo-EM structures show 2F02 targets the central stem epitope while AG2-G02 targets the lower stem epitope and the two can bind concurrently to an HA trimer. Both antibodies neutralize diverse H3 strains in vitro and provide prophylactic protection in mice, with Fc-mediated effector functions contributing to in vivo efficacy. AG2-G02 binding is lost to recent human H3N2 HAs carrying R32 at HA2, whereas T32 or I32 permit binding. Human plasma binding profiles mirror the historical shift from T32 to I32 to R32, indicating altered population antigenicity of the lower stem over time.</p>
<p> Conclusion:<br />Natural evolution at HA2 position 32 has changed the antigenicity of the H3N2 HA lower stem, impacting binding of certain group 2 stem antibodies and informing vaccine design strategies</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Gopal AB</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65595-1</p>
<p> Reference:<br />Gopal AB, Lv H, Ouyang WO, Teo QW, Luo Y, Tang YS, Luo M, Mok CKP, Wu NC. Characterization of two non-competing antibodies to influenza H3N2 hemagglutinin stem reveals its evolving antigenicity. Nat Commun. 2025;16:10557. https://doi.org/10.1038/s41467-025-65595-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/h3n2-stem-antibodies-evolution</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections discussing: identification and epitopes of AG2-G02 and 2F02; structural/functional characterization; concurrent binding to an HA trimer; antigenic evolution at HA2 position 32; Fc-mediated protection in vivo; serological/population memory implications; vaccine-design implications.<br />- transcript topics: Identification and non-overlapping epitopes of AG2-G02 (lower stem) and 2F02 (central stem); Cryo-EM structural analysis and concurrent binding to an HA trimer; Antigenic evolution at HA2 position 32 (T32, I32, R32) and its effect on binding; In vivo Fc-mediated protection and importance of Fc effector functions; Serological analysis across pre-2003 adults, post-2011 adults, and post-2011 infants; Implications for universal influenza vaccine design targeting multiple stem epitopes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- AG2-G02 targets the lower stem epitope; 2F02 targets the central stem epitope; epitopes are distinct and non-overlapping<br />- AG2-G02 and 2F02 can bind concurrently to the same HA trimer (non-competitive binding with six Fabs on a single trimer)</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Gopal AB et al., Nat Commun - Structural and functional characterization of two group 2 H3 HA stem antibodies, 2F02 and AG2-G02, shows distinct non-overlapping epitopes, protection in mice, and antigenic changes driven by HA2 position 32 that limit AG2-G02 binding. Key terms: influenza H3N2, hemagglutinin stem, broadly neutralizing antibodies, antigenic evolution, vaccine design.
 Study Highlights:Cryo-EM structures show 2F02 targets the central stem epitope while AG2-G02 targets the lower stem epitope and the two can bind concurrently to an HA trimer. Both antibodies neutralize diverse H3 strains in vitro and provide prophylactic protection in mice, with Fc-mediated effector functions contributing to in vivo efficacy. AG2-G02 binding is lost to recent human H3N2 HAs carrying R32 at HA2, whereas T32 or I32 permit binding. Human plasma binding profiles mirror the historical shift from T32 to I32 to R32, indicating altered population antigenicity of the lower stem over time.
 Conclusion:Natural evolution at HA2 position 32 has changed the antigenicity of the H3N2 HA lower stem, impacting binding of certain group 2 stem antibodies and informing vaccine design strategies
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Gopal AB
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65595-1
 Reference:Gopal AB, Lv H, Ouyang WO, Teo QW, Luo Y, Tang YS, Luo M, Mok CKP, Wu NC. Characterization of two non-competing antibodies to influenza H3N2 hemagglutinin stem reveals its evolving antigenicity. Nat Commun. 2025;16:10557. https://doi.org/10.1038/s41467-025-65595-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/h3n2-stem-antibodies-evolution
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections discussing: identification and epitopes of AG2-G02 and 2F02; structural/functional characterization; concurrent binding to an HA trimer; antigenic evolution at HA2 position 32; Fc-mediated protection in vivo; serological/population memory implications; vaccine-design implications.- transcript topics: Identification and non-overlapping epitopes of AG2-G02 (lower stem) and 2F02 (central stem); Cryo-EM structural analysis and concurrent binding to an HA trimer; Antigenic evolution at HA2 position 32 (T32, I32, R32) and its effect on binding; In vivo Fc-mediated protection and importance of Fc effector functions; Serological analysis across pre-2003 adults, post-2011 adults, and post-2011 infants; Implications for universal influenza vaccine design targeting multiple stem epitopes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- AG2-G02 targets the lower stem epitope; 2F02 targets the central stem epitope; epitopes are distinct and non-overlapping- AG2-G02 and 2F02 can bind concurrently to the same HA trimer (non-competitive binding with six Fabs on a single trimer)]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[228: Two non-competing H3N2 stem antibodies reveal evolving antigenicity]]>
                </itunes:title>
                                    <itunes:episode>228</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Gopal AB et al., Nat Commun - Structural and functional characterization of two group 2 H3 HA stem antibodies, 2F02 and AG2-G02, shows distinct non-overlapping epitopes, protection in mice, and antigenic changes driven by HA2 position 32 that limit AG2-G02 binding. Key terms: influenza H3N2, hemagglutinin stem, broadly neutralizing antibodies, antigenic evolution, vaccine design.</p>
<p> Study Highlights:<br />Cryo-EM structures show 2F02 targets the central stem epitope while AG2-G02 targets the lower stem epitope and the two can bind concurrently to an HA trimer. Both antibodies neutralize diverse H3 strains in vitro and provide prophylactic protection in mice, with Fc-mediated effector functions contributing to in vivo efficacy. AG2-G02 binding is lost to recent human H3N2 HAs carrying R32 at HA2, whereas T32 or I32 permit binding. Human plasma binding profiles mirror the historical shift from T32 to I32 to R32, indicating altered population antigenicity of the lower stem over time.</p>
<p> Conclusion:<br />Natural evolution at HA2 position 32 has changed the antigenicity of the H3N2 HA lower stem, impacting binding of certain group 2 stem antibodies and informing vaccine design strategies</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Gopal AB</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65595-1</p>
<p> Reference:<br />Gopal AB, Lv H, Ouyang WO, Teo QW, Luo Y, Tang YS, Luo M, Mok CKP, Wu NC. Characterization of two non-competing antibodies to influenza H3N2 hemagglutinin stem reveals its evolving antigenicity. Nat Commun. 2025;16:10557. https://doi.org/10.1038/s41467-025-65595-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/h3n2-stem-antibodies-evolution</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections discussing: identification and epitopes of AG2-G02 and 2F02; structural/functional characterization; concurrent binding to an HA trimer; antigenic evolution at HA2 position 32; Fc-mediated protection in vivo; serological/population memory implications; vaccine-design implications.<br />- transcript topics: Identification and non-overlapping epitopes of AG2-G02 (lower stem) and 2F02 (central stem); Cryo-EM structural analysis and concurrent binding to an HA trimer; Antigenic evolution at HA2 position 32 (T32, I32, R32) and its effect on binding; In vivo Fc-mediated protection and importance of Fc effector functions; Serological analysis across pre-2003 adults, post-2011 adults, and post-2011 infants; Implications for universal influenza vaccine design targeting multiple stem epitopes</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- AG2-G02 targets the lower stem epitope; 2F02 targets the central stem epitope; epitopes are distinct and non-overlapping<br />- AG2-G02 and 2F02 can bind concurrently to the same HA trimer (non-competitive binding with six Fabs on a single trimer)<br />- AG2-G02 binding to H3 stem is abrogated by R32HA2; T32HA2 and I32HA2 permit binding<br />- Population plasma shows immune imprinting: pre-2003 adults bind more to T32HA2; post-2011 infants show stronger binding to R32HA2; post-2011 adults show intermediate patterns<br />- Fc-mediated effector functions are required for in vivo protection; LALA-PG variants reduce protection<br />- Two antibodies provide a blueprint for vaccines by targeting both central and lower stem epitopes</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2287925/c1e-2j46rim3xj8b595n7-8d0748pgup80-wnyed3.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2287925&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fh3n2-stem-antibodies-evolution&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=5eeb78d5658a1a75e254f9e04a81115b4d8bd58de6562efe502f2e4c31f82bcf" length="26092845"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Gopal AB et al., Nat Commun - Structural and functional characterization of two group 2 H3 HA stem antibodies, 2F02 and AG2-G02, shows distinct non-overlapping epitopes, protection in mice, and antigenic changes driven by HA2 position 32 that limit AG2-G02 binding. Key terms: influenza H3N2, hemagglutinin stem, broadly neutralizing antibodies, antigenic evolution, vaccine design.
 Study Highlights:Cryo-EM structures show 2F02 targets the central stem epitope while AG2-G02 targets the lower stem epitope and the two can bind concurrently to an HA trimer. Both antibodies neutralize diverse H3 strains in vitro and provide prophylactic protection in mice, with Fc-mediated effector functions contributing to in vivo efficacy. AG2-G02 binding is lost to recent human H3N2 HAs carrying R32 at HA2, whereas T32 or I32 permit binding. Human plasma binding profiles mirror the historical shift from T32 to I32 to R32, indicating altered population antigenicity of the lower stem over time.
 Conclusion:Natural evolution at HA2 position 32 has changed the antigenicity of the H3N2 HA lower stem, impacting binding of certain group 2 stem antibodies and informing vaccine design strategies
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Gopal AB
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65595-1
 Reference:Gopal AB, Lv H, Ouyang WO, Teo QW, Luo Y, Tang YS, Luo M, Mok CKP, Wu NC. Characterization of two non-competing antibodies to influenza H3N2 hemagglutinin stem reveals its evolving antigenicity. Nat Commun. 2025;16:10557. https://doi.org/10.1038/s41467-025-65595-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/h3n2-stem-antibodies-evolution
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections discussing: identification and epitopes of AG2-G02 and 2F02; structural/functional characterization; concurrent binding to an HA trimer; antigenic evolution at HA2 position 32; Fc-mediated protection in vivo; serological/population memory implications; vaccine-design implications.- transcript topics: Identification and non-overlapping epitopes of AG2-G02 (lower stem) and 2F02 (central stem); Cryo-EM structural analysis and concurrent binding to an HA trimer; Antigenic evolution at HA2 position 32 (T32, I32, R32) and its effect on binding; In vivo Fc-mediated protection and importance of Fc effector functions; Serological analysis across pre-2003 adults, post-2011 adults, and post-2011 infants; Implications for universal influenza vaccine design targeting multiple stem epitopes
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- AG2-G02 targets the lower stem epitope; 2F02 targets the central stem epitope; epitopes are distinct and non-overlapping- AG2-G02 and 2F02 can bind concurrently to the same HA trimer (non-competitive binding with six Fabs on a single trimer)]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2287925/c1a-p6xp7-258kvrgwsk92-ged7vi.png"></itunes:image>
                                                                            <itunes:duration>00:18:02</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[227: 1q gain enables rescue of aneuploid hESCs during RPE differentiation]]>
                </title>
                <pubDate>Sat, 13 Dec 2025 06:36:42 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2286769</guid>
                                    <link>https://basebybase.castos.com/episodes/1q-gain-wild-type-rescue</link>
                                <description>
                                            <![CDATA[<p>Couvreu de Deckersberg E et al., Nat Commun (2025) - This study shows that spontaneous RPE differentiation eliminates most aneuploid human pluripotent stem cells but permits expansion of cells with chromosome 1q gains when they are co-cultured with wild-type cells. Key terms: aneuploidy, 1q gain, RPE differentiation, co-culture, wild-type rescue.</p>
<p> Study Highlights:<br />Large-scale single-cell genomics revealed pervasive low-grade mosaicism in genetically balanced hPSC cultures, with 3–6% of cells carrying various aneuploidies. During undirected RPE differentiation most aneuploid lineages are purged, except for cells bearing gains of chromosome arm 1q which persist. 1q-gain cells only complete neural/RPE specification when co-cultured with wild-type cells that provide paracrine ligands and induce neuroectodermal regulons, enabling rescued differentiation trajectories. Rescued RPE1q cells show comparable RPE marker expression but display transcriptional signs of aneuploidy-related stress and can outcompete wild-type and other aneuploid cells, whereas 20q11.21 gains, iso20q and trisomy 20 generally fail to be rescued.</p>
<p> Conclusion:<br />Spontaneous RPE differentiation acts as a selective bottleneck removing most aneuploid cells but permits expansion of 1q-gain clones via wild-type co-culture rescue, underscoring the importance of genomic surveillance for hPSC-derived therapies</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Couvreu de Deckersberg E</p>
<p> Journal:<br />Nat Commun (2025)</p>
<p> DOI:<br />10.1038/s41467-025-66766-w</p>
<p> Reference:<br />Couvreu de Deckersberg E, Lei Y, Krivec N, Huyghebaert A, Duong MC, Janssens C, Regin M, Tsuiko O, Movahedi K, Verhulst S, van Grunsven LA, Sermon K, Al Delbany D, Spits C. 1q gain bypasses the selective barrier against aneuploidy in RPE differentiation via wild-type co-culture rescue. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66766-w</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/1q-gain-wild-type-rescue</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content covering: baseline mosaicism in hPSCs, the selective bottleneck during RPE differentiation, the 1q-gain rescue via co-culture, the MDM4/p53 mechanism, signaling interactions with wild-type neighbors, and comparisons to other aneuploides; also covered limitations and safety considerations.<br />- transcript topics: hPSC mosaicism and common aneuploidies; undirected RPE differentiation bottleneck; 1q gain persistence and enrichment; wild-type co-culture rescue mechanism; MDM4/p53 axis and stress responses; signaling interactions between wt and 1q-gain cells</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Prevalence of low-grade mosaicism in hPSC cultures (3-6%).<br />- During undirected RPE differentiation, most aneuploidies are eliminated except 1q gains.<br />- 1q-gain c...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Couvreu de Deckersberg E et al., Nat Commun (2025) - This study shows that spontaneous RPE differentiation eliminates most aneuploid human pluripotent stem cells but permits expansion of cells with chromosome 1q gains when they are co-cultured with wild-type cells. Key terms: aneuploidy, 1q gain, RPE differentiation, co-culture, wild-type rescue.
 Study Highlights:Large-scale single-cell genomics revealed pervasive low-grade mosaicism in genetically balanced hPSC cultures, with 3–6% of cells carrying various aneuploidies. During undirected RPE differentiation most aneuploid lineages are purged, except for cells bearing gains of chromosome arm 1q which persist. 1q-gain cells only complete neural/RPE specification when co-cultured with wild-type cells that provide paracrine ligands and induce neuroectodermal regulons, enabling rescued differentiation trajectories. Rescued RPE1q cells show comparable RPE marker expression but display transcriptional signs of aneuploidy-related stress and can outcompete wild-type and other aneuploid cells, whereas 20q11.21 gains, iso20q and trisomy 20 generally fail to be rescued.
 Conclusion:Spontaneous RPE differentiation acts as a selective bottleneck removing most aneuploid cells but permits expansion of 1q-gain clones via wild-type co-culture rescue, underscoring the importance of genomic surveillance for hPSC-derived therapies
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Couvreu de Deckersberg E
 Journal:Nat Commun (2025)
 DOI:10.1038/s41467-025-66766-w
 Reference:Couvreu de Deckersberg E, Lei Y, Krivec N, Huyghebaert A, Duong MC, Janssens C, Regin M, Tsuiko O, Movahedi K, Verhulst S, van Grunsven LA, Sermon K, Al Delbany D, Spits C. 1q gain bypasses the selective barrier against aneuploidy in RPE differentiation via wild-type co-culture rescue. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66766-w
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/1q-gain-wild-type-rescue
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content covering: baseline mosaicism in hPSCs, the selective bottleneck during RPE differentiation, the 1q-gain rescue via co-culture, the MDM4/p53 mechanism, signaling interactions with wild-type neighbors, and comparisons to other aneuploides; also covered limitations and safety considerations.- transcript topics: hPSC mosaicism and common aneuploidies; undirected RPE differentiation bottleneck; 1q gain persistence and enrichment; wild-type co-culture rescue mechanism; MDM4/p53 axis and stress responses; signaling interactions between wt and 1q-gain cells
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Prevalence of low-grade mosaicism in hPSC cultures (3-6%).- During undirected RPE differentiation, most aneuploidies are eliminated except 1q gains.- 1q-gain c...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[227: 1q gain enables rescue of aneuploid hESCs during RPE differentiation]]>
                </itunes:title>
                                    <itunes:episode>227</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Couvreu de Deckersberg E et al., Nat Commun (2025) - This study shows that spontaneous RPE differentiation eliminates most aneuploid human pluripotent stem cells but permits expansion of cells with chromosome 1q gains when they are co-cultured with wild-type cells. Key terms: aneuploidy, 1q gain, RPE differentiation, co-culture, wild-type rescue.</p>
<p> Study Highlights:<br />Large-scale single-cell genomics revealed pervasive low-grade mosaicism in genetically balanced hPSC cultures, with 3–6% of cells carrying various aneuploidies. During undirected RPE differentiation most aneuploid lineages are purged, except for cells bearing gains of chromosome arm 1q which persist. 1q-gain cells only complete neural/RPE specification when co-cultured with wild-type cells that provide paracrine ligands and induce neuroectodermal regulons, enabling rescued differentiation trajectories. Rescued RPE1q cells show comparable RPE marker expression but display transcriptional signs of aneuploidy-related stress and can outcompete wild-type and other aneuploid cells, whereas 20q11.21 gains, iso20q and trisomy 20 generally fail to be rescued.</p>
<p> Conclusion:<br />Spontaneous RPE differentiation acts as a selective bottleneck removing most aneuploid cells but permits expansion of 1q-gain clones via wild-type co-culture rescue, underscoring the importance of genomic surveillance for hPSC-derived therapies</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Couvreu de Deckersberg E</p>
<p> Journal:<br />Nat Commun (2025)</p>
<p> DOI:<br />10.1038/s41467-025-66766-w</p>
<p> Reference:<br />Couvreu de Deckersberg E, Lei Y, Krivec N, Huyghebaert A, Duong MC, Janssens C, Regin M, Tsuiko O, Movahedi K, Verhulst S, van Grunsven LA, Sermon K, Al Delbany D, Spits C. 1q gain bypasses the selective barrier against aneuploidy in RPE differentiation via wild-type co-culture rescue. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66766-w</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/1q-gain-wild-type-rescue</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content covering: baseline mosaicism in hPSCs, the selective bottleneck during RPE differentiation, the 1q-gain rescue via co-culture, the MDM4/p53 mechanism, signaling interactions with wild-type neighbors, and comparisons to other aneuploides; also covered limitations and safety considerations.<br />- transcript topics: hPSC mosaicism and common aneuploidies; undirected RPE differentiation bottleneck; 1q gain persistence and enrichment; wild-type co-culture rescue mechanism; MDM4/p53 axis and stress responses; signaling interactions between wt and 1q-gain cells</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Prevalence of low-grade mosaicism in hPSC cultures (3-6%).<br />- During undirected RPE differentiation, most aneuploidies are eliminated except 1q gains.<br />- 1q-gain cells differentiate efficiently only when co-cultured with wild-type cells via paracrine signals.<br />- 1q-gain cells can expand and dominate the culture (up to ~43% of final population in a line).<br />- MDM4 copy number in 1q gain inhibits p53, enabling survival through differentiation.<br />- Specific wt–1q ligand–receptor interactions (e.g., NRXN1–NLGN1, EFNA5–EPHA6, CALM1/2/3–RYR2/CACNA1C) mediate rescue.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Couvreu de Deckersberg E et al., Nat Commun (2025) - This study shows that spontaneous RPE differentiation eliminates most aneuploid human pluripotent stem cells but permits expansion of cells with chromosome 1q gains when they are co-cultured with wild-type cells. Key terms: aneuploidy, 1q gain, RPE differentiation, co-culture, wild-type rescue.
 Study Highlights:Large-scale single-cell genomics revealed pervasive low-grade mosaicism in genetically balanced hPSC cultures, with 3–6% of cells carrying various aneuploidies. During undirected RPE differentiation most aneuploid lineages are purged, except for cells bearing gains of chromosome arm 1q which persist. 1q-gain cells only complete neural/RPE specification when co-cultured with wild-type cells that provide paracrine ligands and induce neuroectodermal regulons, enabling rescued differentiation trajectories. Rescued RPE1q cells show comparable RPE marker expression but display transcriptional signs of aneuploidy-related stress and can outcompete wild-type and other aneuploid cells, whereas 20q11.21 gains, iso20q and trisomy 20 generally fail to be rescued.
 Conclusion:Spontaneous RPE differentiation acts as a selective bottleneck removing most aneuploid cells but permits expansion of 1q-gain clones via wild-type co-culture rescue, underscoring the importance of genomic surveillance for hPSC-derived therapies
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Couvreu de Deckersberg E
 Journal:Nat Commun (2025)
 DOI:10.1038/s41467-025-66766-w
 Reference:Couvreu de Deckersberg E, Lei Y, Krivec N, Huyghebaert A, Duong MC, Janssens C, Regin M, Tsuiko O, Movahedi K, Verhulst S, van Grunsven LA, Sermon K, Al Delbany D, Spits C. 1q gain bypasses the selective barrier against aneuploidy in RPE differentiation via wild-type co-culture rescue. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66766-w
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/1q-gain-wild-type-rescue
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content covering: baseline mosaicism in hPSCs, the selective bottleneck during RPE differentiation, the 1q-gain rescue via co-culture, the MDM4/p53 mechanism, signaling interactions with wild-type neighbors, and comparisons to other aneuploides; also covered limitations and safety considerations.- transcript topics: hPSC mosaicism and common aneuploidies; undirected RPE differentiation bottleneck; 1q gain persistence and enrichment; wild-type co-culture rescue mechanism; MDM4/p53 axis and stress responses; signaling interactions between wt and 1q-gain cells
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Prevalence of low-grade mosaicism in hPSC cultures (3-6%).- During undirected RPE differentiation, most aneuploidies are eliminated except 1q gains.- 1q-gain c...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2286769/c1a-p6xp7-rkgdrxwntxn5-ojc41t.png"></itunes:image>
                                                                            <itunes:duration>00:16:21</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[226: FGF4 protects podocytes in diabetic kidney disease]]>
                </title>
                <pubDate>Fri, 12 Dec 2025 06:03:01 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2285427</guid>
                                    <link>https://basebybase.castos.com/episodes/fgf4-podocyte-protects-kidney</link>
                                <description>
                                            <![CDATA[<p>Wang S et al., Nat Commun - This study shows that podocyte-derived FGF4 is reduced in DKD and that recombinant FGF4 preserves podocyte survival and glomerular function in diabetic models via FGFR1-AMPK-FOXO1 signaling. Key terms: FGF4, FGFR1, podocyte, AMPK-FOXO1, diabetic kidney disease.</p>
<p> Study Highlights:<br />FGF4 expression is downregulated in kidneys from DKD patients and diabetic mouse models and localizes predominantly to podocytes. Podocyte-specific deletion of Fgf4 worsened albuminuria, reduced GFR, increased oxidative stress and podocyte loss in diabetic mice. Systemic treatment with a non-mitogenic recombinant FGF4 improved glucose in db/db mice, lowered UACR and BUN, reduced fibrosis, ROS and apoptosis, and restored podocyte markers in both T1D and T2D models. The protective effects of rFGF4 require podocyte FGFR1 and downstream AMPK-FOXO1 activity, as Fgfr1, Ampk, or Foxo1 podocyte knockouts abolished rFGF4 benefits. rFGF4 also reversed high glucose–induced injury and promoted nuclear FOXO1 in human podocytes and isolated human glomeruli</p>
<p> Conclusion:<br />FGF4 is a podocyte-derived regulator that promotes podocyte survival and mitigates DKD through FGFR1-mediated activation of the AMPK-FOXO1 axis, supporting rFGF4 as a potential therapeutic approach for diabetic kidney disease</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Wang S</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65978-4</p>
<p> Reference:<br />Wang S, Lou J, Pan B, Zhao M, Li Q, Zhou J, et al. FGF4-FGFR1 signaling promotes podocyte survival and glomerular function to ameliorate diabetic kidney disease in male mice. Nat Commun. 2025;16:10430. https://doi.org/10.1038/s41467-025-65978-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/fgf4-podocyte-protects-kidney</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content of the transcript, focusing on: DKD context and podocyte injury; FGF4 downregulation and podocyte-specific Fgf4 knockout effects; rFGF4 therapeutic effects in DKD mouse models; FGFR1-AMPK-FOXO1 signaling; human cell data; safety considerations; interactions with losartan and SGLT2 inhibit<br />- transcript topics: DKD and podocyte injury; FGF4 as a podocyte-protective factor; Podocyte-specific Fgf4 knockout model (PKO); Recombinant FGF4 therapy in DKD (db/db and STZ models); FGFR1-AMPK-FOXO1 signaling axis; Human podocyte/glomerulus data and translational relevance</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- DKD downregulates FGF4 in podocytes and correlates with disease severity<br />- Podocyte-specific deletion of Fgf4 worsens DKD outcomes (lower GFR, higher albuminuria, histological damage)<br />- Recombinant FGF4 (rFGF4) protects against DKD in two mouse models (db/db and STZ), reducing kidney injury and fibrosis<br />- FGFR1-AMPK-FOXO1 signaling mediates rFGF4's p...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Wang S et al., Nat Commun - This study shows that podocyte-derived FGF4 is reduced in DKD and that recombinant FGF4 preserves podocyte survival and glomerular function in diabetic models via FGFR1-AMPK-FOXO1 signaling. Key terms: FGF4, FGFR1, podocyte, AMPK-FOXO1, diabetic kidney disease.
 Study Highlights:FGF4 expression is downregulated in kidneys from DKD patients and diabetic mouse models and localizes predominantly to podocytes. Podocyte-specific deletion of Fgf4 worsened albuminuria, reduced GFR, increased oxidative stress and podocyte loss in diabetic mice. Systemic treatment with a non-mitogenic recombinant FGF4 improved glucose in db/db mice, lowered UACR and BUN, reduced fibrosis, ROS and apoptosis, and restored podocyte markers in both T1D and T2D models. The protective effects of rFGF4 require podocyte FGFR1 and downstream AMPK-FOXO1 activity, as Fgfr1, Ampk, or Foxo1 podocyte knockouts abolished rFGF4 benefits. rFGF4 also reversed high glucose–induced injury and promoted nuclear FOXO1 in human podocytes and isolated human glomeruli
 Conclusion:FGF4 is a podocyte-derived regulator that promotes podocyte survival and mitigates DKD through FGFR1-mediated activation of the AMPK-FOXO1 axis, supporting rFGF4 as a potential therapeutic approach for diabetic kidney disease
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Wang S
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65978-4
 Reference:Wang S, Lou J, Pan B, Zhao M, Li Q, Zhou J, et al. FGF4-FGFR1 signaling promotes podocyte survival and glomerular function to ameliorate diabetic kidney disease in male mice. Nat Commun. 2025;16:10430. https://doi.org/10.1038/s41467-025-65978-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/fgf4-podocyte-protects-kidney
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content of the transcript, focusing on: DKD context and podocyte injury; FGF4 downregulation and podocyte-specific Fgf4 knockout effects; rFGF4 therapeutic effects in DKD mouse models; FGFR1-AMPK-FOXO1 signaling; human cell data; safety considerations; interactions with losartan and SGLT2 inhibit- transcript topics: DKD and podocyte injury; FGF4 as a podocyte-protective factor; Podocyte-specific Fgf4 knockout model (PKO); Recombinant FGF4 therapy in DKD (db/db and STZ models); FGFR1-AMPK-FOXO1 signaling axis; Human podocyte/glomerulus data and translational relevance
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- DKD downregulates FGF4 in podocytes and correlates with disease severity- Podocyte-specific deletion of Fgf4 worsens DKD outcomes (lower GFR, higher albuminuria, histological damage)- Recombinant FGF4 (rFGF4) protects against DKD in two mouse models (db/db and STZ), reducing kidney injury and fibrosis- FGFR1-AMPK-FOXO1 signaling mediates rFGF4's p...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[226: FGF4 protects podocytes in diabetic kidney disease]]>
                </itunes:title>
                                    <itunes:episode>226</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Wang S et al., Nat Commun - This study shows that podocyte-derived FGF4 is reduced in DKD and that recombinant FGF4 preserves podocyte survival and glomerular function in diabetic models via FGFR1-AMPK-FOXO1 signaling. Key terms: FGF4, FGFR1, podocyte, AMPK-FOXO1, diabetic kidney disease.</p>
<p> Study Highlights:<br />FGF4 expression is downregulated in kidneys from DKD patients and diabetic mouse models and localizes predominantly to podocytes. Podocyte-specific deletion of Fgf4 worsened albuminuria, reduced GFR, increased oxidative stress and podocyte loss in diabetic mice. Systemic treatment with a non-mitogenic recombinant FGF4 improved glucose in db/db mice, lowered UACR and BUN, reduced fibrosis, ROS and apoptosis, and restored podocyte markers in both T1D and T2D models. The protective effects of rFGF4 require podocyte FGFR1 and downstream AMPK-FOXO1 activity, as Fgfr1, Ampk, or Foxo1 podocyte knockouts abolished rFGF4 benefits. rFGF4 also reversed high glucose–induced injury and promoted nuclear FOXO1 in human podocytes and isolated human glomeruli</p>
<p> Conclusion:<br />FGF4 is a podocyte-derived regulator that promotes podocyte survival and mitigates DKD through FGFR1-mediated activation of the AMPK-FOXO1 axis, supporting rFGF4 as a potential therapeutic approach for diabetic kidney disease</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Wang S</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65978-4</p>
<p> Reference:<br />Wang S, Lou J, Pan B, Zhao M, Li Q, Zhou J, et al. FGF4-FGFR1 signaling promotes podocyte survival and glomerular function to ameliorate diabetic kidney disease in male mice. Nat Commun. 2025;16:10430. https://doi.org/10.1038/s41467-025-65978-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/fgf4-podocyte-protects-kidney</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content of the transcript, focusing on: DKD context and podocyte injury; FGF4 downregulation and podocyte-specific Fgf4 knockout effects; rFGF4 therapeutic effects in DKD mouse models; FGFR1-AMPK-FOXO1 signaling; human cell data; safety considerations; interactions with losartan and SGLT2 inhibit<br />- transcript topics: DKD and podocyte injury; FGF4 as a podocyte-protective factor; Podocyte-specific Fgf4 knockout model (PKO); Recombinant FGF4 therapy in DKD (db/db and STZ models); FGFR1-AMPK-FOXO1 signaling axis; Human podocyte/glomerulus data and translational relevance</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- DKD downregulates FGF4 in podocytes and correlates with disease severity<br />- Podocyte-specific deletion of Fgf4 worsens DKD outcomes (lower GFR, higher albuminuria, histological damage)<br />- Recombinant FGF4 (rFGF4) protects against DKD in two mouse models (db/db and STZ), reducing kidney injury and fibrosis<br />- FGFR1-AMPK-FOXO1 signaling mediates rFGF4's protective effects in podocytes<br />- Protection by rFGF4 is non-glycemic and can occur even when blood glucose remains high<br />- Human relevance: rFGF4 reverses injury in human podocytes and human glomeruli under high glucose</p>
<p>QC result: Pass.</p>]]>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Wang S et al., Nat Commun - This study shows that podocyte-derived FGF4 is reduced in DKD and that recombinant FGF4 preserves podocyte survival and glomerular function in diabetic models via FGFR1-AMPK-FOXO1 signaling. Key terms: FGF4, FGFR1, podocyte, AMPK-FOXO1, diabetic kidney disease.
 Study Highlights:FGF4 expression is downregulated in kidneys from DKD patients and diabetic mouse models and localizes predominantly to podocytes. Podocyte-specific deletion of Fgf4 worsened albuminuria, reduced GFR, increased oxidative stress and podocyte loss in diabetic mice. Systemic treatment with a non-mitogenic recombinant FGF4 improved glucose in db/db mice, lowered UACR and BUN, reduced fibrosis, ROS and apoptosis, and restored podocyte markers in both T1D and T2D models. The protective effects of rFGF4 require podocyte FGFR1 and downstream AMPK-FOXO1 activity, as Fgfr1, Ampk, or Foxo1 podocyte knockouts abolished rFGF4 benefits. rFGF4 also reversed high glucose–induced injury and promoted nuclear FOXO1 in human podocytes and isolated human glomeruli
 Conclusion:FGF4 is a podocyte-derived regulator that promotes podocyte survival and mitigates DKD through FGFR1-mediated activation of the AMPK-FOXO1 axis, supporting rFGF4 as a potential therapeutic approach for diabetic kidney disease
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Wang S
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65978-4
 Reference:Wang S, Lou J, Pan B, Zhao M, Li Q, Zhou J, et al. FGF4-FGFR1 signaling promotes podocyte survival and glomerular function to ameliorate diabetic kidney disease in male mice. Nat Commun. 2025;16:10430. https://doi.org/10.1038/s41467-025-65978-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/fgf4-podocyte-protects-kidney
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content of the transcript, focusing on: DKD context and podocyte injury; FGF4 downregulation and podocyte-specific Fgf4 knockout effects; rFGF4 therapeutic effects in DKD mouse models; FGFR1-AMPK-FOXO1 signaling; human cell data; safety considerations; interactions with losartan and SGLT2 inhibit- transcript topics: DKD and podocyte injury; FGF4 as a podocyte-protective factor; Podocyte-specific Fgf4 knockout model (PKO); Recombinant FGF4 therapy in DKD (db/db and STZ models); FGFR1-AMPK-FOXO1 signaling axis; Human podocyte/glomerulus data and translational relevance
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- DKD downregulates FGF4 in podocytes and correlates with disease severity- Podocyte-specific deletion of Fgf4 worsens DKD outcomes (lower GFR, higher albuminuria, histological damage)- Recombinant FGF4 (rFGF4) protects against DKD in two mouse models (db/db and STZ), reducing kidney injury and fibrosis- FGFR1-AMPK-FOXO1 signaling mediates rFGF4's p...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2285427/c1a-p6xp7-7z8kd15ptn18-1ykvtk.png"></itunes:image>
                                                                            <itunes:duration>00:16:09</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[225: VRK-1, BAF-1 and the release of meiotic chromatin]]>
                </title>
                <pubDate>Wed, 10 Dec 2025 23:08:49 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2284388</guid>
                                    <link>https://basebybase.castos.com/episodes/vrk1-baf1-meiosis-integrity</link>
                                <description>
                                            <![CDATA[<p>Paouneskou D et al., Nature Communications - VRK-1 phosphorylates BAF-1 to remove chromatin from the nuclear periphery during early meiotic prophase in C. elegans, and failure of this step impairs pairing and synapsis and generates heritable genome lesions. Key terms: VRK-1, BAF-1, meiosis, chromatin tethering, genome integrity.</p>
<p> Study Highlights:<br />The authors used an auxin-inducible VRK-1 depletion system and genetic perturbations to show that VRK-1 phosphorylates BAF-1 (Ser4) to release chromatin–nuclear periphery contacts during leptotene–zygotene. VRK-1 loss or a BAF-1 Ser4 phospho-mutant increases chromatin tethering at the nuclear envelope, delays homolog pairing, slows and disrupts synaptonemal complex assembly, and elevates apoptosis. VRK-1 depletion produces oocytes with increased DAPI bodies, intrachromosomal bridges and fragmentation that depend on SPO-11 and MSH-5, while baf-1 RNAi rescues overtethering phenotypes. Transient VRK-1 loss during the chromosome movement window yields offspring with an increased burden of deletions and duplications detected by long-read sequencing, implicating VRK-1–BAF-1 in preserving genome integrity</p>
<p> Conclusion:<br />Timed VRK-1–mediated phosphorylation of BAF-1 is required to detach chromatin from the nuclear periphery during meiotic chromosome movements to ensure correct pairing, synapsis, and genome stability</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Paouneskou D</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65420-9</p>
<p> Reference:<br />Paouneskou D., Baudrimont A., Elkrewi M., Kölbl C., Tiemann-Boege I., Vicoso B., Jantsch V. BAF-1–VRK-1 mediated release of meiotic chromosomes from the nuclear periphery is important for genome integrity. Nature Communications. 2025;16:10446. https://doi.org/10.1038/s41467-025-65420-9</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/vrk1-baf1-meiosis-integrity</p>
<p>️ Episode:<br />225: VRK-1 and BAF-1 release meiotic chromosomes</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />BAF-1–VRK-1 mediated release of meiotic chromosomes from the nuclear periphery is important for genome integrity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of the VRK-1–BAF-1 mechanism, effects of VRK-1 depletion on chromatin tethering and meiosis (pairing, SC, CO), apoptosis, and the heritable genome-variant outcomes revealed by long-read sequencing, plus rescue and repair pathway details described in the article.<br />- transcript topics: Meiosis in C. elegans and rapid chromosome movements; Chromatin tethering to nuclear periphery (BAF-1); VRK-1 kinase and BAF-1 Ser4 phosphorylation; AID timing window for VRK-1 depletion; Synapsis and CO formation (HTP-3, SYP-1, MSH-5, ZHP-3); DNA repair pathways and alternative repair (MUS-81, POLQ-1, NHEJ)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
&lt;...]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Paouneskou D et al., Nature Communications - VRK-1 phosphorylates BAF-1 to remove chromatin from the nuclear periphery during early meiotic prophase in C. elegans, and failure of this step impairs pairing and synapsis and generates heritable genome lesions. Key terms: VRK-1, BAF-1, meiosis, chromatin tethering, genome integrity.
 Study Highlights:The authors used an auxin-inducible VRK-1 depletion system and genetic perturbations to show that VRK-1 phosphorylates BAF-1 (Ser4) to release chromatin–nuclear periphery contacts during leptotene–zygotene. VRK-1 loss or a BAF-1 Ser4 phospho-mutant increases chromatin tethering at the nuclear envelope, delays homolog pairing, slows and disrupts synaptonemal complex assembly, and elevates apoptosis. VRK-1 depletion produces oocytes with increased DAPI bodies, intrachromosomal bridges and fragmentation that depend on SPO-11 and MSH-5, while baf-1 RNAi rescues overtethering phenotypes. Transient VRK-1 loss during the chromosome movement window yields offspring with an increased burden of deletions and duplications detected by long-read sequencing, implicating VRK-1–BAF-1 in preserving genome integrity
 Conclusion:Timed VRK-1–mediated phosphorylation of BAF-1 is required to detach chromatin from the nuclear periphery during meiotic chromosome movements to ensure correct pairing, synapsis, and genome stability
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Paouneskou D
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65420-9
 Reference:Paouneskou D., Baudrimont A., Elkrewi M., Kölbl C., Tiemann-Boege I., Vicoso B., Jantsch V. BAF-1–VRK-1 mediated release of meiotic chromosomes from the nuclear periphery is important for genome integrity. Nature Communications. 2025;16:10446. https://doi.org/10.1038/s41467-025-65420-9
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/vrk1-baf1-meiosis-integrity
️ Episode:225: VRK-1 and BAF-1 release meiotic chromosomes
️ Season:1
 Article title:BAF-1–VRK-1 mediated release of meiotic chromosomes from the nuclear periphery is important for genome integrity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of the VRK-1–BAF-1 mechanism, effects of VRK-1 depletion on chromatin tethering and meiosis (pairing, SC, CO), apoptosis, and the heritable genome-variant outcomes revealed by long-read sequencing, plus rescue and repair pathway details described in the article.- transcript topics: Meiosis in C. elegans and rapid chromosome movements; Chromatin tethering to nuclear periphery (BAF-1); VRK-1 kinase and BAF-1 Ser4 phosphorylation; AID timing window for VRK-1 depletion; Synapsis and CO formation (HTP-3, SYP-1, MSH-5, ZHP-3); DNA repair pathways and alternative repair (MUS-81, POLQ-1, NHEJ)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
<...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[225: VRK-1, BAF-1 and the release of meiotic chromatin]]>
                </itunes:title>
                                    <itunes:episode>225</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Paouneskou D et al., Nature Communications - VRK-1 phosphorylates BAF-1 to remove chromatin from the nuclear periphery during early meiotic prophase in C. elegans, and failure of this step impairs pairing and synapsis and generates heritable genome lesions. Key terms: VRK-1, BAF-1, meiosis, chromatin tethering, genome integrity.</p>
<p> Study Highlights:<br />The authors used an auxin-inducible VRK-1 depletion system and genetic perturbations to show that VRK-1 phosphorylates BAF-1 (Ser4) to release chromatin–nuclear periphery contacts during leptotene–zygotene. VRK-1 loss or a BAF-1 Ser4 phospho-mutant increases chromatin tethering at the nuclear envelope, delays homolog pairing, slows and disrupts synaptonemal complex assembly, and elevates apoptosis. VRK-1 depletion produces oocytes with increased DAPI bodies, intrachromosomal bridges and fragmentation that depend on SPO-11 and MSH-5, while baf-1 RNAi rescues overtethering phenotypes. Transient VRK-1 loss during the chromosome movement window yields offspring with an increased burden of deletions and duplications detected by long-read sequencing, implicating VRK-1–BAF-1 in preserving genome integrity</p>
<p> Conclusion:<br />Timed VRK-1–mediated phosphorylation of BAF-1 is required to detach chromatin from the nuclear periphery during meiotic chromosome movements to ensure correct pairing, synapsis, and genome stability</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Paouneskou D</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65420-9</p>
<p> Reference:<br />Paouneskou D., Baudrimont A., Elkrewi M., Kölbl C., Tiemann-Boege I., Vicoso B., Jantsch V. BAF-1–VRK-1 mediated release of meiotic chromosomes from the nuclear periphery is important for genome integrity. Nature Communications. 2025;16:10446. https://doi.org/10.1038/s41467-025-65420-9</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/vrk1-baf1-meiosis-integrity</p>
<p>️ Episode:<br />225: VRK-1 and BAF-1 release meiotic chromosomes</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />BAF-1–VRK-1 mediated release of meiotic chromosomes from the nuclear periphery is important for genome integrity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s presentation of the VRK-1–BAF-1 mechanism, effects of VRK-1 depletion on chromatin tethering and meiosis (pairing, SC, CO), apoptosis, and the heritable genome-variant outcomes revealed by long-read sequencing, plus rescue and repair pathway details described in the article.<br />- transcript topics: Meiosis in C. elegans and rapid chromosome movements; Chromatin tethering to nuclear periphery (BAF-1); VRK-1 kinase and BAF-1 Ser4 phosphorylation; AID timing window for VRK-1 depletion; Synapsis and CO formation (HTP-3, SYP-1, MSH-5, ZHP-3); DNA repair pathways and alternative repair (MUS-81, POLQ-1, NHEJ)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- VRK-1 phosphorylates BAF-1 at Ser4 to detach chromatin from the nuclear periphery during early meiotic prophase<br />- VRK-1 depletion leads to chromatin tethering, delayed pairing and synapsis, and elevated apoptosis<br />- BAF-1 Ser4 phosphorylation is a VRK-1 target; BAF-1 Ser4 phospho-mutant phenocopies VRK-1 depletion regarding chromosome reorganization<br />- Synapsis is delayed and crossover (CO) formation is perturbed (MSH-5 recruitment delayed; ZHP-3 retraction delayed) in VRK-1–depleted cells<br />- Transient VRK-1 depletion yields offspring with increased deletions and duplications (SVs) detected by long-read sequencing; large SVs (&gt;10 kb) increased &gt;6-fold<br />- Alternative repair pathways (MUS-81, POLQ-1) are engaged under VRK-1 depletion and influence chromosome integrity</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Paouneskou D et al., Nature Communications - VRK-1 phosphorylates BAF-1 to remove chromatin from the nuclear periphery during early meiotic prophase in C. elegans, and failure of this step impairs pairing and synapsis and generates heritable genome lesions. Key terms: VRK-1, BAF-1, meiosis, chromatin tethering, genome integrity.
 Study Highlights:The authors used an auxin-inducible VRK-1 depletion system and genetic perturbations to show that VRK-1 phosphorylates BAF-1 (Ser4) to release chromatin–nuclear periphery contacts during leptotene–zygotene. VRK-1 loss or a BAF-1 Ser4 phospho-mutant increases chromatin tethering at the nuclear envelope, delays homolog pairing, slows and disrupts synaptonemal complex assembly, and elevates apoptosis. VRK-1 depletion produces oocytes with increased DAPI bodies, intrachromosomal bridges and fragmentation that depend on SPO-11 and MSH-5, while baf-1 RNAi rescues overtethering phenotypes. Transient VRK-1 loss during the chromosome movement window yields offspring with an increased burden of deletions and duplications detected by long-read sequencing, implicating VRK-1–BAF-1 in preserving genome integrity
 Conclusion:Timed VRK-1–mediated phosphorylation of BAF-1 is required to detach chromatin from the nuclear periphery during meiotic chromosome movements to ensure correct pairing, synapsis, and genome stability
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Paouneskou D
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65420-9
 Reference:Paouneskou D., Baudrimont A., Elkrewi M., Kölbl C., Tiemann-Boege I., Vicoso B., Jantsch V. BAF-1–VRK-1 mediated release of meiotic chromosomes from the nuclear periphery is important for genome integrity. Nature Communications. 2025;16:10446. https://doi.org/10.1038/s41467-025-65420-9
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/vrk1-baf1-meiosis-integrity
️ Episode:225: VRK-1 and BAF-1 release meiotic chromosomes
️ Season:1
 Article title:BAF-1–VRK-1 mediated release of meiotic chromosomes from the nuclear periphery is important for genome integrity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s presentation of the VRK-1–BAF-1 mechanism, effects of VRK-1 depletion on chromatin tethering and meiosis (pairing, SC, CO), apoptosis, and the heritable genome-variant outcomes revealed by long-read sequencing, plus rescue and repair pathway details described in the article.- transcript topics: Meiosis in C. elegans and rapid chromosome movements; Chromatin tethering to nuclear periphery (BAF-1); VRK-1 kinase and BAF-1 Ser4 phosphorylation; AID timing window for VRK-1 depletion; Synapsis and CO formation (HTP-3, SYP-1, MSH-5, ZHP-3); DNA repair pathways and alternative repair (MUS-81, POLQ-1, NHEJ)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
<...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2284388/c1a-p6xp7-ok03o5r6ipwv-amkk1z.png"></itunes:image>
                                                                            <itunes:duration>00:17:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[224: Biohybrid implants: wireless sensing with engineered bacteria]]>
                </title>
                <pubDate>Wed, 10 Dec 2025 19:35:04 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2283831</guid>
                                    <link>https://basebybase.castos.com/episodes/antennalive-bacterial-implant</link>
                                <description>
                                            <![CDATA[<p>Bilir A et al., Wireless in-body sensing through genetically engineered bacteria - A bio-hybrid, battery-free implant converts engineered bacterial activity into microwave backscatter signals by controlled degradation of a biodegradable antenna. Key terms: engineered bacteria, biodegradable antenna, backscatter communication, implantable sensor, cytochrome c.</p>
<p> Study Highlights:<br />The AntennAlive system uses a magnesium split-ring passive implant antenna coupled with genetically engineered Escherichia coli that accelerate metal degradation to convert molecular detection into an electromagnetic signature. E. coli BL21 engineered to express the CcmA–H cytochrome c maturation pathway degraded the magnesium prototype faster (≈8 h) than non-engineered cells (≈14 h), causing a controlled structural transition from split ring to segmented ring. Numerical and experimental work showed resonant frequencies near 1.16 GHz for the intact antenna and 1.91 GHz after degradation, and an on-body reader antenna covering 0.8–2.3 GHz enabled backscatter monitoring through a muscle phantom. A wireless, chipless link between the cell-based passive implant and an external receiver was demonstrated at 25 mm implant depth, showing potential for molecular-level in-body sensing without batteries or electronics.</p>
<p> Conclusion:<br />Genetically programmed bacteria can modulate biodegradable antenna properties to produce remotely detectable backscatter signals, enabling battery-free, implantable molecular sensing.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Bilir A</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65416-5</p>
<p> Reference:<br />Bilir A., Yavuz M., Safak Seker U. O., Dumanli S. Wireless in-body sensing through genetically engineered bacteria. Nature Communications. 2025;16:10432. https://doi.org/10.1038/s41467-025-65416-5</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/antennalive-bacterial-implant</p>
<p>️ Episode:<br />224: AntennAlive — wireless in-body sensing with engineered bacteria</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Wireless in-body sensing through genetically engineered bacteria</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of AntennAlive concept, magnesium-based passive implant, engineered E. coli (CcmA–H), degradation-driven resonant-frequency shift, experimental phantom setup, 25 mm depth demonstration, and discussed limitations/future work.<br />- transcript topics: AntennAlive concept and biohybrid sensing bridge; Magnesium-based passive implant antenna design and degradation; Engineering E. coli for extracellular electron transfer (CcmA–H); Degradation dynamics and resonance shift (1.16 GHz to 1.91 GHz); Experimental setup: muscle phantom, Mg foil, on-body reader, VNA; Phantom-based wireless backscatter demonstration at 25 mm depth</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- articl...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Bilir A et al., Wireless in-body sensing through genetically engineered bacteria - A bio-hybrid, battery-free implant converts engineered bacterial activity into microwave backscatter signals by controlled degradation of a biodegradable antenna. Key terms: engineered bacteria, biodegradable antenna, backscatter communication, implantable sensor, cytochrome c.
 Study Highlights:The AntennAlive system uses a magnesium split-ring passive implant antenna coupled with genetically engineered Escherichia coli that accelerate metal degradation to convert molecular detection into an electromagnetic signature. E. coli BL21 engineered to express the CcmA–H cytochrome c maturation pathway degraded the magnesium prototype faster (≈8 h) than non-engineered cells (≈14 h), causing a controlled structural transition from split ring to segmented ring. Numerical and experimental work showed resonant frequencies near 1.16 GHz for the intact antenna and 1.91 GHz after degradation, and an on-body reader antenna covering 0.8–2.3 GHz enabled backscatter monitoring through a muscle phantom. A wireless, chipless link between the cell-based passive implant and an external receiver was demonstrated at 25 mm implant depth, showing potential for molecular-level in-body sensing without batteries or electronics.
 Conclusion:Genetically programmed bacteria can modulate biodegradable antenna properties to produce remotely detectable backscatter signals, enabling battery-free, implantable molecular sensing.
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Bilir A
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65416-5
 Reference:Bilir A., Yavuz M., Safak Seker U. O., Dumanli S. Wireless in-body sensing through genetically engineered bacteria. Nature Communications. 2025;16:10432. https://doi.org/10.1038/s41467-025-65416-5
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/antennalive-bacterial-implant
️ Episode:224: AntennAlive — wireless in-body sensing with engineered bacteria
️ Season:1
 Article title:Wireless in-body sensing through genetically engineered bacteria
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of AntennAlive concept, magnesium-based passive implant, engineered E. coli (CcmA–H), degradation-driven resonant-frequency shift, experimental phantom setup, 25 mm depth demonstration, and discussed limitations/future work.- transcript topics: AntennAlive concept and biohybrid sensing bridge; Magnesium-based passive implant antenna design and degradation; Engineering E. coli for extracellular electron transfer (CcmA–H); Degradation dynamics and resonance shift (1.16 GHz to 1.91 GHz); Experimental setup: muscle phantom, Mg foil, on-body reader, VNA; Phantom-based wireless backscatter demonstration at 25 mm depth
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- articl...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[224: Biohybrid implants: wireless sensing with engineered bacteria]]>
                </itunes:title>
                                    <itunes:episode>224</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Bilir A et al., Wireless in-body sensing through genetically engineered bacteria - A bio-hybrid, battery-free implant converts engineered bacterial activity into microwave backscatter signals by controlled degradation of a biodegradable antenna. Key terms: engineered bacteria, biodegradable antenna, backscatter communication, implantable sensor, cytochrome c.</p>
<p> Study Highlights:<br />The AntennAlive system uses a magnesium split-ring passive implant antenna coupled with genetically engineered Escherichia coli that accelerate metal degradation to convert molecular detection into an electromagnetic signature. E. coli BL21 engineered to express the CcmA–H cytochrome c maturation pathway degraded the magnesium prototype faster (≈8 h) than non-engineered cells (≈14 h), causing a controlled structural transition from split ring to segmented ring. Numerical and experimental work showed resonant frequencies near 1.16 GHz for the intact antenna and 1.91 GHz after degradation, and an on-body reader antenna covering 0.8–2.3 GHz enabled backscatter monitoring through a muscle phantom. A wireless, chipless link between the cell-based passive implant and an external receiver was demonstrated at 25 mm implant depth, showing potential for molecular-level in-body sensing without batteries or electronics.</p>
<p> Conclusion:<br />Genetically programmed bacteria can modulate biodegradable antenna properties to produce remotely detectable backscatter signals, enabling battery-free, implantable molecular sensing.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Bilir A</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65416-5</p>
<p> Reference:<br />Bilir A., Yavuz M., Safak Seker U. O., Dumanli S. Wireless in-body sensing through genetically engineered bacteria. Nature Communications. 2025;16:10432. https://doi.org/10.1038/s41467-025-65416-5</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/antennalive-bacterial-implant</p>
<p>️ Episode:<br />224: AntennAlive — wireless in-body sensing with engineered bacteria</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Wireless in-body sensing through genetically engineered bacteria</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of AntennAlive concept, magnesium-based passive implant, engineered E. coli (CcmA–H), degradation-driven resonant-frequency shift, experimental phantom setup, 25 mm depth demonstration, and discussed limitations/future work.<br />- transcript topics: AntennAlive concept and biohybrid sensing bridge; Magnesium-based passive implant antenna design and degradation; Engineering E. coli for extracellular electron transfer (CcmA–H); Degradation dynamics and resonance shift (1.16 GHz to 1.91 GHz); Experimental setup: muscle phantom, Mg foil, on-body reader, VNA; Phantom-based wireless backscatter demonstration at 25 mm depth</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Mg foil implant is 25 μm thick and degrades faster under engineered bacteria<br />- E. coli BL21 expressing CcmA–H accelerates magnesium degradation vs non-engineered BL21<br />- Degradation changes implant antenna from split ring to segmented ring<br />- Resonant frequency shifts from ~1.16 GHz (intact) to ~1.91 GHz (degraded)<br />- Wireless backscatter link detected by on-body reader at 25 mm depth in a muscle phantom<br />- Non-biodegradable implant resonance detectable up to 55 mm depth</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Bilir A et al., Wireless in-body sensing through genetically engineered bacteria - A bio-hybrid, battery-free implant converts engineered bacterial activity into microwave backscatter signals by controlled degradation of a biodegradable antenna. Key terms: engineered bacteria, biodegradable antenna, backscatter communication, implantable sensor, cytochrome c.
 Study Highlights:The AntennAlive system uses a magnesium split-ring passive implant antenna coupled with genetically engineered Escherichia coli that accelerate metal degradation to convert molecular detection into an electromagnetic signature. E. coli BL21 engineered to express the CcmA–H cytochrome c maturation pathway degraded the magnesium prototype faster (≈8 h) than non-engineered cells (≈14 h), causing a controlled structural transition from split ring to segmented ring. Numerical and experimental work showed resonant frequencies near 1.16 GHz for the intact antenna and 1.91 GHz after degradation, and an on-body reader antenna covering 0.8–2.3 GHz enabled backscatter monitoring through a muscle phantom. A wireless, chipless link between the cell-based passive implant and an external receiver was demonstrated at 25 mm implant depth, showing potential for molecular-level in-body sensing without batteries or electronics.
 Conclusion:Genetically programmed bacteria can modulate biodegradable antenna properties to produce remotely detectable backscatter signals, enabling battery-free, implantable molecular sensing.
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Bilir A
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65416-5
 Reference:Bilir A., Yavuz M., Safak Seker U. O., Dumanli S. Wireless in-body sensing through genetically engineered bacteria. Nature Communications. 2025;16:10432. https://doi.org/10.1038/s41467-025-65416-5
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/antennalive-bacterial-implant
️ Episode:224: AntennAlive — wireless in-body sensing with engineered bacteria
️ Season:1
 Article title:Wireless in-body sensing through genetically engineered bacteria
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of AntennAlive concept, magnesium-based passive implant, engineered E. coli (CcmA–H), degradation-driven resonant-frequency shift, experimental phantom setup, 25 mm depth demonstration, and discussed limitations/future work.- transcript topics: AntennAlive concept and biohybrid sensing bridge; Magnesium-based passive implant antenna design and degradation; Engineering E. coli for extracellular electron transfer (CcmA–H); Degradation dynamics and resonance shift (1.16 GHz to 1.91 GHz); Experimental setup: muscle phantom, Mg foil, on-body reader, VNA; Phantom-based wireless backscatter demonstration at 25 mm depth
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- articl...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2283831/c1a-p6xp7-6z8w2gpzbjr7-u7gsk1.png"></itunes:image>
                                                                            <itunes:duration>00:18:41</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[223: Torsion Controls Replication: Stall and Restart]]>
                </title>
                <pubDate>Tue, 09 Dec 2025 06:22:34 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2279982</guid>
                                    <link>https://basebybase.castos.com/episodes/torsion-dna-replication-restart</link>
                                <description>
                                            <![CDATA[<p>Xiaomeng Jia et al., Berger, Smita S - New single-molecule angular optical trap assays reveal that DNA torsion directly controls T7 replisome stalling and reactivation. Key terms: DNA replication, torsion, replisome, helicase, DNA polymerase.</p>
<p> Study Highlights:<br />A high-resolution, label-free angular optical trap (AOT) assay was developed to track T7 replisome-driven DNA rotation and torsional slowing in real time. The combined helicase–DNA polymerase (DNAP) replisome generates ∼22 pN·nm of stall torque, about twice that of E. coli RNA polymerase, while helicase or DNAP alone produce minimal positive torque. Loss of the helicase C‑terminal domain interaction with DNAP increases fork regression under torsion and reduces restart efficiency, and prolonged stalling leads to replisome inactivation. Excess free DNAP at the fork and gyrase-mediated torsional relaxation substantially improve restart after a torsion-induced stall</p>
<p> Conclusion:<br />Torsional stress is a central regulator of fork stability and restart, with helicase–DNAP synergy and timely topoisomerase activity determining whether stalled replisomes reactivate</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Xiaomeng Jia</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65567-5</p>
<p> Reference:<br />Xiaomeng Jia, Xiang Gao, Shuming Zhang, James T. Inman, Yifeng Hong, Anupam Singh, Fahad Rashid, James M. Berger, Smita S. Patel &amp; Michelle D. Wang. Torsion is a dynamic regulator of DNA replication stalling and reactivation. Nat Commun. 2025;16:10543. https://doi.org/10.1038/s41467-025-65567-5</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/torsion-dna-replication-restart</p>
<p>️ Episode:<br />223: Torsion Regulates DNA Replication Stalling and Restart</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Torsion is a dynamic regulator of DNA replication stalling and reactivation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the substantive scientific content describing torque generation by the T7 replisome, stall under torsion, fork regression, restart mechanisms (including excess DNAP and CTD recruitment), and gyrase effects; cross-checked against the original article.<br />- transcript topics: Torque generation by the T7 replisome (AOT measurements); Stalling of replication under torsion and stall torque values; CTD-mediated helicase–DNAP interaction and fork stability; Fork regression dynamics under torsion; Excess DNAP and DNAP exchange promoting fork restart; Gyrase/topoisomerase role in torque relief and restart</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- WT replisome stalls at ~21.9 ± 4.4 pN·nm (≈22 pN·nm) torque when helicase and DNAP act together<br />- DNAP alone and helicase alone generate minimal positive torsion (DNAP ≈ -1.5 ± 2.4 pN·nm; helicase ≈ 1.2 ± 5.0 pN·nm)<br />- ΔCt helicase (la...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Xiaomeng Jia et al., Berger, Smita S - New single-molecule angular optical trap assays reveal that DNA torsion directly controls T7 replisome stalling and reactivation. Key terms: DNA replication, torsion, replisome, helicase, DNA polymerase.
 Study Highlights:A high-resolution, label-free angular optical trap (AOT) assay was developed to track T7 replisome-driven DNA rotation and torsional slowing in real time. The combined helicase–DNA polymerase (DNAP) replisome generates ∼22 pN·nm of stall torque, about twice that of E. coli RNA polymerase, while helicase or DNAP alone produce minimal positive torque. Loss of the helicase C‑terminal domain interaction with DNAP increases fork regression under torsion and reduces restart efficiency, and prolonged stalling leads to replisome inactivation. Excess free DNAP at the fork and gyrase-mediated torsional relaxation substantially improve restart after a torsion-induced stall
 Conclusion:Torsional stress is a central regulator of fork stability and restart, with helicase–DNAP synergy and timely topoisomerase activity determining whether stalled replisomes reactivate
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Xiaomeng Jia
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65567-5
 Reference:Xiaomeng Jia, Xiang Gao, Shuming Zhang, James T. Inman, Yifeng Hong, Anupam Singh, Fahad Rashid, James M. Berger, Smita S. Patel & Michelle D. Wang. Torsion is a dynamic regulator of DNA replication stalling and reactivation. Nat Commun. 2025;16:10543. https://doi.org/10.1038/s41467-025-65567-5
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/torsion-dna-replication-restart
️ Episode:223: Torsion Regulates DNA Replication Stalling and Restart
️ Season:1
 Article title:Torsion is a dynamic regulator of DNA replication stalling and reactivation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the substantive scientific content describing torque generation by the T7 replisome, stall under torsion, fork regression, restart mechanisms (including excess DNAP and CTD recruitment), and gyrase effects; cross-checked against the original article.- transcript topics: Torque generation by the T7 replisome (AOT measurements); Stalling of replication under torsion and stall torque values; CTD-mediated helicase–DNAP interaction and fork stability; Fork regression dynamics under torsion; Excess DNAP and DNAP exchange promoting fork restart; Gyrase/topoisomerase role in torque relief and restart
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- WT replisome stalls at ~21.9 ± 4.4 pN·nm (≈22 pN·nm) torque when helicase and DNAP act together- DNAP alone and helicase alone generate minimal positive torsion (DNAP ≈ -1.5 ± 2.4 pN·nm; helicase ≈ 1.2 ± 5.0 pN·nm)- ΔCt helicase (la...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[223: Torsion Controls Replication: Stall and Restart]]>
                </itunes:title>
                                    <itunes:episode>223</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Xiaomeng Jia et al., Berger, Smita S - New single-molecule angular optical trap assays reveal that DNA torsion directly controls T7 replisome stalling and reactivation. Key terms: DNA replication, torsion, replisome, helicase, DNA polymerase.</p>
<p> Study Highlights:<br />A high-resolution, label-free angular optical trap (AOT) assay was developed to track T7 replisome-driven DNA rotation and torsional slowing in real time. The combined helicase–DNA polymerase (DNAP) replisome generates ∼22 pN·nm of stall torque, about twice that of E. coli RNA polymerase, while helicase or DNAP alone produce minimal positive torque. Loss of the helicase C‑terminal domain interaction with DNAP increases fork regression under torsion and reduces restart efficiency, and prolonged stalling leads to replisome inactivation. Excess free DNAP at the fork and gyrase-mediated torsional relaxation substantially improve restart after a torsion-induced stall</p>
<p> Conclusion:<br />Torsional stress is a central regulator of fork stability and restart, with helicase–DNAP synergy and timely topoisomerase activity determining whether stalled replisomes reactivate</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Xiaomeng Jia</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65567-5</p>
<p> Reference:<br />Xiaomeng Jia, Xiang Gao, Shuming Zhang, James T. Inman, Yifeng Hong, Anupam Singh, Fahad Rashid, James M. Berger, Smita S. Patel &amp; Michelle D. Wang. Torsion is a dynamic regulator of DNA replication stalling and reactivation. Nat Commun. 2025;16:10543. https://doi.org/10.1038/s41467-025-65567-5</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/torsion-dna-replication-restart</p>
<p>️ Episode:<br />223: Torsion Regulates DNA Replication Stalling and Restart</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Torsion is a dynamic regulator of DNA replication stalling and reactivation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the substantive scientific content describing torque generation by the T7 replisome, stall under torsion, fork regression, restart mechanisms (including excess DNAP and CTD recruitment), and gyrase effects; cross-checked against the original article.<br />- transcript topics: Torque generation by the T7 replisome (AOT measurements); Stalling of replication under torsion and stall torque values; CTD-mediated helicase–DNAP interaction and fork stability; Fork regression dynamics under torsion; Excess DNAP and DNAP exchange promoting fork restart; Gyrase/topoisomerase role in torque relief and restart</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- WT replisome stalls at ~21.9 ± 4.4 pN·nm (≈22 pN·nm) torque when helicase and DNAP act together<br />- DNAP alone and helicase alone generate minimal positive torsion (DNAP ≈ -1.5 ± 2.4 pN·nm; helicase ≈ 1.2 ± 5.0 pN·nm)<br />- ΔCt helicase (lacking CTD-DNAP interaction) replisome stalls with torque ~19.4 ± 3.0 pN·nm<br />- Fork regression distances under stall: WT ~80 bp; ΔCt ~240 bp; ΔCtexo ~340 bp<br />- Prolonged stalling reduces restart efficiency; short stalls restore better than long stalls<br />- Excess DNAP during a long stall increases restart fraction from ~40% to ~85%</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Xiaomeng Jia et al., Berger, Smita S - New single-molecule angular optical trap assays reveal that DNA torsion directly controls T7 replisome stalling and reactivation. Key terms: DNA replication, torsion, replisome, helicase, DNA polymerase.
 Study Highlights:A high-resolution, label-free angular optical trap (AOT) assay was developed to track T7 replisome-driven DNA rotation and torsional slowing in real time. The combined helicase–DNA polymerase (DNAP) replisome generates ∼22 pN·nm of stall torque, about twice that of E. coli RNA polymerase, while helicase or DNAP alone produce minimal positive torque. Loss of the helicase C‑terminal domain interaction with DNAP increases fork regression under torsion and reduces restart efficiency, and prolonged stalling leads to replisome inactivation. Excess free DNAP at the fork and gyrase-mediated torsional relaxation substantially improve restart after a torsion-induced stall
 Conclusion:Torsional stress is a central regulator of fork stability and restart, with helicase–DNAP synergy and timely topoisomerase activity determining whether stalled replisomes reactivate
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Xiaomeng Jia
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65567-5
 Reference:Xiaomeng Jia, Xiang Gao, Shuming Zhang, James T. Inman, Yifeng Hong, Anupam Singh, Fahad Rashid, James M. Berger, Smita S. Patel & Michelle D. Wang. Torsion is a dynamic regulator of DNA replication stalling and reactivation. Nat Commun. 2025;16:10543. https://doi.org/10.1038/s41467-025-65567-5
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/torsion-dna-replication-restart
️ Episode:223: Torsion Regulates DNA Replication Stalling and Restart
️ Season:1
 Article title:Torsion is a dynamic regulator of DNA replication stalling and reactivation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the substantive scientific content describing torque generation by the T7 replisome, stall under torsion, fork regression, restart mechanisms (including excess DNAP and CTD recruitment), and gyrase effects; cross-checked against the original article.- transcript topics: Torque generation by the T7 replisome (AOT measurements); Stalling of replication under torsion and stall torque values; CTD-mediated helicase–DNAP interaction and fork stability; Fork regression dynamics under torsion; Excess DNAP and DNAP exchange promoting fork restart; Gyrase/topoisomerase role in torque relief and restart
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- WT replisome stalls at ~21.9 ± 4.4 pN·nm (≈22 pN·nm) torque when helicase and DNAP act together- DNAP alone and helicase alone generate minimal positive torsion (DNAP ≈ -1.5 ± 2.4 pN·nm; helicase ≈ 1.2 ± 5.0 pN·nm)- ΔCt helicase (la...]]>
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                                                                            <itunes:duration>00:16:26</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[222: snaR-A disrupts mRNA splicing in cancer]]>
                </title>
                <pubDate>Mon, 08 Dec 2025 05:39:07 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2274958</guid>
                                    <link>https://basebybase.castos.com/episodes/snar-a-splicing-disruption</link>
                                <description>
                                            <![CDATA[<p>Zhou S et al., Nat Commun - This episode examines how the cancer-associated Pol III transcript snaR-A binds core splicing factors, localizes near nuclear speckles, perturbs U2-dependent splicing to increase intron retention, and promotes cell proliferation linked to poorer patient outcomes. Key terms: snaR-A, splicing, SF3B2, intron retention, nuclear speckles.</p>
<p> Study Highlights:<br />Proteomic pull-downs and CLIP analyses reveal snaR-A interactions with RNA chaperones (La, ILF3) and multiple splicing factors, with PAR-CLIP and CLIP-qPCR supporting a direct interaction with the U2 snRNP subunit SF3B2. HCR-RNA-FISH and SON TSA-seq place snaR-A in subnuclear foci adjacent to nuclear speckles and show snaR-A gene clusters are speckle-proximal. Functional genomics show snaR-A overexpression increases intron retention while snaR-A depletion reduces intron retention and enhances splicing of transcripts marked by high U2 occupancy and speckle proximity, and snaR-A overexpression selectively reduces SF3B2 protein levels. Phenotypically, snaR-A depletion lowers proliferation in HEK293T cells, snaR-A gene activity correlates with proliferation markers across primary tumors and predicts worse survival, and rescued splicing increases protein abundance for tumor-suppressive targets such as OGFR.</p>
<p> Conclusion:<br />snaR-A acts as a nuclear antagonist of U2-dependent splicing near speckles, promoting cell proliferation and providing a non-mutational route to splicing dysregulation in cancer</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Zhou S</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65448-x</p>
<p> Reference:<br />Zhou S, Lizarazo S, Chorghade S, Mouli L, Cheng R, KC R, Kalsotra A, Van Bortle K. Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations. Nat Commun. 2025;16:10460. https://doi.org/10.1038/s41467-025-65448-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/snar-a-splicing-disruption</p>
<p>️ Episode:<br />222: snaR-A hijacks splicing to drive proliferation</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's core mechanistic and phenotypic claims described in the Nature Communications article: snaR-A interactions with SF3B2 and splicing machinery, subnuclear speckle localization, intron retention changes with overexpression/depletion, effects on proliferation and OGFR, and clinical correlations.<br />- transcript topics: Pol III overactivity and snaR-A origin in cancer; snaR-A interactions with splicing factors (SF3B2, U2 snRNP); subnuclear localization near nuclear speckles; intron retention and splicing efficiency changes; effects of snaR-A depletion/overexpression on proliferation and OGFR; clinical associations: snaR-A activity and patient survival</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- met...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zhou S et al., Nat Commun - This episode examines how the cancer-associated Pol III transcript snaR-A binds core splicing factors, localizes near nuclear speckles, perturbs U2-dependent splicing to increase intron retention, and promotes cell proliferation linked to poorer patient outcomes. Key terms: snaR-A, splicing, SF3B2, intron retention, nuclear speckles.
 Study Highlights:Proteomic pull-downs and CLIP analyses reveal snaR-A interactions with RNA chaperones (La, ILF3) and multiple splicing factors, with PAR-CLIP and CLIP-qPCR supporting a direct interaction with the U2 snRNP subunit SF3B2. HCR-RNA-FISH and SON TSA-seq place snaR-A in subnuclear foci adjacent to nuclear speckles and show snaR-A gene clusters are speckle-proximal. Functional genomics show snaR-A overexpression increases intron retention while snaR-A depletion reduces intron retention and enhances splicing of transcripts marked by high U2 occupancy and speckle proximity, and snaR-A overexpression selectively reduces SF3B2 protein levels. Phenotypically, snaR-A depletion lowers proliferation in HEK293T cells, snaR-A gene activity correlates with proliferation markers across primary tumors and predicts worse survival, and rescued splicing increases protein abundance for tumor-suppressive targets such as OGFR.
 Conclusion:snaR-A acts as a nuclear antagonist of U2-dependent splicing near speckles, promoting cell proliferation and providing a non-mutational route to splicing dysregulation in cancer
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Zhou S
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65448-x
 Reference:Zhou S, Lizarazo S, Chorghade S, Mouli L, Cheng R, KC R, Kalsotra A, Van Bortle K. Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations. Nat Commun. 2025;16:10460. https://doi.org/10.1038/s41467-025-65448-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/snar-a-splicing-disruption
️ Episode:222: snaR-A hijacks splicing to drive proliferation
️ Season:1
 Article title:Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's core mechanistic and phenotypic claims described in the Nature Communications article: snaR-A interactions with SF3B2 and splicing machinery, subnuclear speckle localization, intron retention changes with overexpression/depletion, effects on proliferation and OGFR, and clinical correlations.- transcript topics: Pol III overactivity and snaR-A origin in cancer; snaR-A interactions with splicing factors (SF3B2, U2 snRNP); subnuclear localization near nuclear speckles; intron retention and splicing efficiency changes; effects of snaR-A depletion/overexpression on proliferation and OGFR; clinical associations: snaR-A activity and patient survival
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- met...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[222: snaR-A disrupts mRNA splicing in cancer]]>
                </itunes:title>
                                    <itunes:episode>222</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zhou S et al., Nat Commun - This episode examines how the cancer-associated Pol III transcript snaR-A binds core splicing factors, localizes near nuclear speckles, perturbs U2-dependent splicing to increase intron retention, and promotes cell proliferation linked to poorer patient outcomes. Key terms: snaR-A, splicing, SF3B2, intron retention, nuclear speckles.</p>
<p> Study Highlights:<br />Proteomic pull-downs and CLIP analyses reveal snaR-A interactions with RNA chaperones (La, ILF3) and multiple splicing factors, with PAR-CLIP and CLIP-qPCR supporting a direct interaction with the U2 snRNP subunit SF3B2. HCR-RNA-FISH and SON TSA-seq place snaR-A in subnuclear foci adjacent to nuclear speckles and show snaR-A gene clusters are speckle-proximal. Functional genomics show snaR-A overexpression increases intron retention while snaR-A depletion reduces intron retention and enhances splicing of transcripts marked by high U2 occupancy and speckle proximity, and snaR-A overexpression selectively reduces SF3B2 protein levels. Phenotypically, snaR-A depletion lowers proliferation in HEK293T cells, snaR-A gene activity correlates with proliferation markers across primary tumors and predicts worse survival, and rescued splicing increases protein abundance for tumor-suppressive targets such as OGFR.</p>
<p> Conclusion:<br />snaR-A acts as a nuclear antagonist of U2-dependent splicing near speckles, promoting cell proliferation and providing a non-mutational route to splicing dysregulation in cancer</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Zhou S</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65448-x</p>
<p> Reference:<br />Zhou S, Lizarazo S, Chorghade S, Mouli L, Cheng R, KC R, Kalsotra A, Van Bortle K. Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations. Nat Commun. 2025;16:10460. https://doi.org/10.1038/s41467-025-65448-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/snar-a-splicing-disruption</p>
<p>️ Episode:<br />222: snaR-A hijacks splicing to drive proliferation</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's core mechanistic and phenotypic claims described in the Nature Communications article: snaR-A interactions with SF3B2 and splicing machinery, subnuclear speckle localization, intron retention changes with overexpression/depletion, effects on proliferation and OGFR, and clinical correlations.<br />- transcript topics: Pol III overactivity and snaR-A origin in cancer; snaR-A interactions with splicing factors (SF3B2, U2 snRNP); subnuclear localization near nuclear speckles; intron retention and splicing efficiency changes; effects of snaR-A depletion/overexpression on proliferation and OGFR; clinical associations: snaR-A activity and patient survival</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- snaR-A interacts with core mRNA splicing machinery including SF3B2<br />- snaR-A localizes near nuclear speckles and associates with splicing factors<br />- overexpression of snaR-A increases intron retention, especially for U2-bound, speckle-proximal transcripts<br />- depletion of snaR-A reduces intron retention and improves splicing of U2-resident, speckle-proximal transcripts<br />- splicing improvements after snaR-A depletion correlate with increased OGFR protein levels (tumor suppressor)<br />- snaR-A depletion reduces cell proliferation in HEK293T cells</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Zhou S et al., Nat Commun - This episode examines how the cancer-associated Pol III transcript snaR-A binds core splicing factors, localizes near nuclear speckles, perturbs U2-dependent splicing to increase intron retention, and promotes cell proliferation linked to poorer patient outcomes. Key terms: snaR-A, splicing, SF3B2, intron retention, nuclear speckles.
 Study Highlights:Proteomic pull-downs and CLIP analyses reveal snaR-A interactions with RNA chaperones (La, ILF3) and multiple splicing factors, with PAR-CLIP and CLIP-qPCR supporting a direct interaction with the U2 snRNP subunit SF3B2. HCR-RNA-FISH and SON TSA-seq place snaR-A in subnuclear foci adjacent to nuclear speckles and show snaR-A gene clusters are speckle-proximal. Functional genomics show snaR-A overexpression increases intron retention while snaR-A depletion reduces intron retention and enhances splicing of transcripts marked by high U2 occupancy and speckle proximity, and snaR-A overexpression selectively reduces SF3B2 protein levels. Phenotypically, snaR-A depletion lowers proliferation in HEK293T cells, snaR-A gene activity correlates with proliferation markers across primary tumors and predicts worse survival, and rescued splicing increases protein abundance for tumor-suppressive targets such as OGFR.
 Conclusion:snaR-A acts as a nuclear antagonist of U2-dependent splicing near speckles, promoting cell proliferation and providing a non-mutational route to splicing dysregulation in cancer
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Zhou S
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65448-x
 Reference:Zhou S, Lizarazo S, Chorghade S, Mouli L, Cheng R, KC R, Kalsotra A, Van Bortle K. Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations. Nat Commun. 2025;16:10460. https://doi.org/10.1038/s41467-025-65448-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/snar-a-splicing-disruption
️ Episode:222: snaR-A hijacks splicing to drive proliferation
️ Season:1
 Article title:Cancer-associated snaR-A noncoding RNA interacts with core splicing machinery and disrupts processing of mRNA subpopulations
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's core mechanistic and phenotypic claims described in the Nature Communications article: snaR-A interactions with SF3B2 and splicing machinery, subnuclear speckle localization, intron retention changes with overexpression/depletion, effects on proliferation and OGFR, and clinical correlations.- transcript topics: Pol III overactivity and snaR-A origin in cancer; snaR-A interactions with splicing factors (SF3B2, U2 snRNP); subnuclear localization near nuclear speckles; intron retention and splicing efficiency changes; effects of snaR-A depletion/overexpression on proliferation and OGFR; clinical associations: snaR-A activity and patient survival
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- met...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2274958/c1a-p6xp7-9jg0o8ddfz-uc6vzf.png"></itunes:image>
                                                                            <itunes:duration>00:17:57</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[221: Allele-resolved nanopore tour of the human placental methylome]]>
                </title>
                <pubDate>Sun, 07 Dec 2025 09:22:31 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2273677</guid>
                                    <link>https://basebybase.castos.com/episodes/allele-resolved-placental-methylome</link>
                                <description>
                                            <![CDATA[<p>Kindlova M et al., Nat Commun - Using phased long-read nanopore and short-read sequencing across eight trios, the study maps allele-specific DNA methylation and transcription in female human placentas, identifies hundreds of DMRs and novel imprinted genes, and reports somatic placental variants. Key terms: placenta, nanopore sequencing, DNA methylation, imprinting, allele-specific expression.</p>
<p> Study Highlights:<br />The authors combined &gt;20x Oxford Nanopore whole-genome sequencing with Illumina WGS and RNA-seq in eight mother–father–placenta trios to phase reads into maternal and paternal alleles. They catalogued 723 differentially methylated regions, finding a strong bias toward paternal demethylation concentrated in partially methylated domains. Allele-resolved expression analysis identified 74 imprinted genes and revealed previously unreported imprinted loci including paternally expressed ILDR2 and maternally expressed RASA1. The study also detected widespread somatic point mutations and a small number of placenta-specific structural variants, including a CNDP1–ZNF407 duplication associated with altered gene expression</p>
<p> Conclusion:<br />Phased nanopore sequencing provides a high-resolution, allele-specific map of the placental methylome and transcriptome, revealing novel imprinted genes and somatic variation with potential relevance to placental biology</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Kindlova M</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65337-3</p>
<p> Reference:<br />Kindlova M, Byrne H, Kubler JM, Steane SE, Whyte JM, Borg D, Clifton VL &amp; Ewing AD. An allele-resolved nanopore-guided tour of the human placental methylome. Nat Commun. 2025;16:10358. https://doi.org/10.1038/s41467-025-65337-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/allele-resolved-placental-methylome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the transcript’s coverage of allele-resolved placental methylome mapping, DMRs, imprinting, specific imprinted genes ILDR2 and RASA1, the C19MC locus, SST1 repeats, somatic variation including CNDP1–ZNF407, and X-chromosome methylation, plus study limitations and conclusions.<br />- transcript topics: Allele-resolved methylome mapping by nanopore sequencing; Trio-based phasing and parental allele assignment; Global methylation patterns and PMDs in placenta; Differentially methylated regions (DMRs) and paternal demethylation bias; Imprinted genes ILDR2 and RASA1; C19MC locus and SST1 macro-satellite region</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Eight female placentas were sequenced in eight mother–father–placenta trios<br />- Long-read nanopore sequencing with trio-based phasing enables allele-specific methylation and transcription mapping, with EM-seq validation showing high concordance (~94%)<br />- Ident...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kindlova M et al., Nat Commun - Using phased long-read nanopore and short-read sequencing across eight trios, the study maps allele-specific DNA methylation and transcription in female human placentas, identifies hundreds of DMRs and novel imprinted genes, and reports somatic placental variants. Key terms: placenta, nanopore sequencing, DNA methylation, imprinting, allele-specific expression.
 Study Highlights:The authors combined >20x Oxford Nanopore whole-genome sequencing with Illumina WGS and RNA-seq in eight mother–father–placenta trios to phase reads into maternal and paternal alleles. They catalogued 723 differentially methylated regions, finding a strong bias toward paternal demethylation concentrated in partially methylated domains. Allele-resolved expression analysis identified 74 imprinted genes and revealed previously unreported imprinted loci including paternally expressed ILDR2 and maternally expressed RASA1. The study also detected widespread somatic point mutations and a small number of placenta-specific structural variants, including a CNDP1–ZNF407 duplication associated with altered gene expression
 Conclusion:Phased nanopore sequencing provides a high-resolution, allele-specific map of the placental methylome and transcriptome, revealing novel imprinted genes and somatic variation with potential relevance to placental biology
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Kindlova M
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65337-3
 Reference:Kindlova M, Byrne H, Kubler JM, Steane SE, Whyte JM, Borg D, Clifton VL & Ewing AD. An allele-resolved nanopore-guided tour of the human placental methylome. Nat Commun. 2025;16:10358. https://doi.org/10.1038/s41467-025-65337-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/allele-resolved-placental-methylome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the transcript’s coverage of allele-resolved placental methylome mapping, DMRs, imprinting, specific imprinted genes ILDR2 and RASA1, the C19MC locus, SST1 repeats, somatic variation including CNDP1–ZNF407, and X-chromosome methylation, plus study limitations and conclusions.- transcript topics: Allele-resolved methylome mapping by nanopore sequencing; Trio-based phasing and parental allele assignment; Global methylation patterns and PMDs in placenta; Differentially methylated regions (DMRs) and paternal demethylation bias; Imprinted genes ILDR2 and RASA1; C19MC locus and SST1 macro-satellite region
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Eight female placentas were sequenced in eight mother–father–placenta trios- Long-read nanopore sequencing with trio-based phasing enables allele-specific methylation and transcription mapping, with EM-seq validation showing high concordance (~94%)- Ident...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[221: Allele-resolved nanopore tour of the human placental methylome]]>
                </itunes:title>
                                    <itunes:episode>221</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kindlova M et al., Nat Commun - Using phased long-read nanopore and short-read sequencing across eight trios, the study maps allele-specific DNA methylation and transcription in female human placentas, identifies hundreds of DMRs and novel imprinted genes, and reports somatic placental variants. Key terms: placenta, nanopore sequencing, DNA methylation, imprinting, allele-specific expression.</p>
<p> Study Highlights:<br />The authors combined &gt;20x Oxford Nanopore whole-genome sequencing with Illumina WGS and RNA-seq in eight mother–father–placenta trios to phase reads into maternal and paternal alleles. They catalogued 723 differentially methylated regions, finding a strong bias toward paternal demethylation concentrated in partially methylated domains. Allele-resolved expression analysis identified 74 imprinted genes and revealed previously unreported imprinted loci including paternally expressed ILDR2 and maternally expressed RASA1. The study also detected widespread somatic point mutations and a small number of placenta-specific structural variants, including a CNDP1–ZNF407 duplication associated with altered gene expression</p>
<p> Conclusion:<br />Phased nanopore sequencing provides a high-resolution, allele-specific map of the placental methylome and transcriptome, revealing novel imprinted genes and somatic variation with potential relevance to placental biology</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Kindlova M</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-65337-3</p>
<p> Reference:<br />Kindlova M, Byrne H, Kubler JM, Steane SE, Whyte JM, Borg D, Clifton VL &amp; Ewing AD. An allele-resolved nanopore-guided tour of the human placental methylome. Nat Commun. 2025;16:10358. https://doi.org/10.1038/s41467-025-65337-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/allele-resolved-placental-methylome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the transcript’s coverage of allele-resolved placental methylome mapping, DMRs, imprinting, specific imprinted genes ILDR2 and RASA1, the C19MC locus, SST1 repeats, somatic variation including CNDP1–ZNF407, and X-chromosome methylation, plus study limitations and conclusions.<br />- transcript topics: Allele-resolved methylome mapping by nanopore sequencing; Trio-based phasing and parental allele assignment; Global methylation patterns and PMDs in placenta; Differentially methylated regions (DMRs) and paternal demethylation bias; Imprinted genes ILDR2 and RASA1; C19MC locus and SST1 macro-satellite region</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Eight female placentas were sequenced in eight mother–father–placenta trios<br />- Long-read nanopore sequencing with trio-based phasing enables allele-specific methylation and transcription mapping, with EM-seq validation showing high concordance (~94%)<br />- Identified 723 differentially methylated regions (DMRs), including 184 novel DMRs<br />- Large majority of DMRs show paternal demethylation bias<br />- ILDR2 is paternally demethylated and expressed; RASA1 is maternally demethylated and expressed<br />- C19MC locus encodes paternally expressed miRNAs; SST1 macro-satellite region shows paternal methylation pattern with transcription initiated at a HERVH element</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Kindlova M et al., Nat Commun - Using phased long-read nanopore and short-read sequencing across eight trios, the study maps allele-specific DNA methylation and transcription in female human placentas, identifies hundreds of DMRs and novel imprinted genes, and reports somatic placental variants. Key terms: placenta, nanopore sequencing, DNA methylation, imprinting, allele-specific expression.
 Study Highlights:The authors combined >20x Oxford Nanopore whole-genome sequencing with Illumina WGS and RNA-seq in eight mother–father–placenta trios to phase reads into maternal and paternal alleles. They catalogued 723 differentially methylated regions, finding a strong bias toward paternal demethylation concentrated in partially methylated domains. Allele-resolved expression analysis identified 74 imprinted genes and revealed previously unreported imprinted loci including paternally expressed ILDR2 and maternally expressed RASA1. The study also detected widespread somatic point mutations and a small number of placenta-specific structural variants, including a CNDP1–ZNF407 duplication associated with altered gene expression
 Conclusion:Phased nanopore sequencing provides a high-resolution, allele-specific map of the placental methylome and transcriptome, revealing novel imprinted genes and somatic variation with potential relevance to placental biology
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Kindlova M
 Journal:Nat Commun
 DOI:10.1038/s41467-025-65337-3
 Reference:Kindlova M, Byrne H, Kubler JM, Steane SE, Whyte JM, Borg D, Clifton VL & Ewing AD. An allele-resolved nanopore-guided tour of the human placental methylome. Nat Commun. 2025;16:10358. https://doi.org/10.1038/s41467-025-65337-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/allele-resolved-placental-methylome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the transcript’s coverage of allele-resolved placental methylome mapping, DMRs, imprinting, specific imprinted genes ILDR2 and RASA1, the C19MC locus, SST1 repeats, somatic variation including CNDP1–ZNF407, and X-chromosome methylation, plus study limitations and conclusions.- transcript topics: Allele-resolved methylome mapping by nanopore sequencing; Trio-based phasing and parental allele assignment; Global methylation patterns and PMDs in placenta; Differentially methylated regions (DMRs) and paternal demethylation bias; Imprinted genes ILDR2 and RASA1; C19MC locus and SST1 macro-satellite region
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Eight female placentas were sequenced in eight mother–father–placenta trios- Long-read nanopore sequencing with trio-based phasing enables allele-specific methylation and transcription mapping, with EM-seq validation showing high concordance (~94%)- Ident...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2273677/c1a-p6xp7-ok03o5g6u10r-htuzxa.png"></itunes:image>
                                                                            <itunes:duration>00:20:23</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[220: AML cell states reveal NPM1 immune-evasion subtypes]]>
                </title>
                <pubDate>Sat, 06 Dec 2025 08:46:36 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2271577</guid>
                                    <link>https://basebybase.castos.com/episodes/npm1-immune-evasion-subtypes</link>
                                <description>
                                            <![CDATA[<p>Lilljebjörn H et al., Nat Commun - Single-cell and bulk sequencing of 120 AML cases reveal two NPM1-mutated subtypes with distinct immune evasion mechanisms and divergent responses to hematopoietic stem cell transplantation. Key terms: acute myeloid leukemia, single-cell RNA-seq, NPM1, immune evasion, hematopoietic stem cell transplantation.</p>
<p> Study Highlights:<br />Bulk RNA-seq profiles are strongly confounded by variable mature cell-type signatures that can conceal subtype-specific blast programs. Single-cell multimodal sequencing of AML identified four main clusters of immature leukemic cells and separated NPM1-mutated cases into NPM1class I and NPM1class II. NPM1class I is marked by MHC class II downregulation and shows a significant survival benefit from HSCT, while NPM1class II resists allogeneic T cell killing ex vivo and does not benefit from HSCT. A 180-gene signature, and a shorter 30-gene panel, distinguished the classes across external bulk cohorts and associated each subtype with different co-mutation patterns.</p>
<p> Conclusion:<br />Single-cell transcriptional profiling defines two clinically relevant NPM1 subtypes with distinct immune evasion strategies that may inform HSCT decisions and immunotherapy approaches.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Lilljebjörn H</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66546-6</p>
<p> Reference:<br />Lilljebjörn H, Henningsson R, Rissler M, Landberg N, Puente-Moncada N, von Palffy S, Rissler V, Stanek P, Desponds J, Lazarevic V, Lehmann S, Fontes M, Ågerstam H, Sandén C, Orsmark-Pietras C, Zhong X, Juliusson G, Thorsson H, Fioretos T. The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes. Nat Commun. 2025;16:10592. https://doi.org/10.1038/s41467-025-66546-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/npm1-immune-evasion-subtypes</p>
<p>️ Episode:<br />220: The AML cellular state space reveals NPM1 immune evasion subtypes</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing AML heterogeneity, single-cell sequencing approaches, isolation of AML immature cells, the NPM1 class I/II dichotomy, MHC-II downregulation and CIITA, intrinsic T cell resistance, ex vivo T cell assays, HSCT outcomes, and the minimal 30-gene panel for clinical implementation.<br />- transcript topics: AML heterogeneity and leukemia stem cells; Single-cell multimodal sequencing (scRNA-seq + scADT-seq); Isolation and characterization of AML immature cells; NPM1-mutated AML: NPM1 class I and NPM1 class II; MHC class II downregulation and CIITA regulation; Intrinsic T cell resistance and alternative checkpoint pathways</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Lilljebjörn H et al., Nat Commun - Single-cell and bulk sequencing of 120 AML cases reveal two NPM1-mutated subtypes with distinct immune evasion mechanisms and divergent responses to hematopoietic stem cell transplantation. Key terms: acute myeloid leukemia, single-cell RNA-seq, NPM1, immune evasion, hematopoietic stem cell transplantation.
 Study Highlights:Bulk RNA-seq profiles are strongly confounded by variable mature cell-type signatures that can conceal subtype-specific blast programs. Single-cell multimodal sequencing of AML identified four main clusters of immature leukemic cells and separated NPM1-mutated cases into NPM1class I and NPM1class II. NPM1class I is marked by MHC class II downregulation and shows a significant survival benefit from HSCT, while NPM1class II resists allogeneic T cell killing ex vivo and does not benefit from HSCT. A 180-gene signature, and a shorter 30-gene panel, distinguished the classes across external bulk cohorts and associated each subtype with different co-mutation patterns.
 Conclusion:Single-cell transcriptional profiling defines two clinically relevant NPM1 subtypes with distinct immune evasion strategies that may inform HSCT decisions and immunotherapy approaches.
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Lilljebjörn H
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66546-6
 Reference:Lilljebjörn H, Henningsson R, Rissler M, Landberg N, Puente-Moncada N, von Palffy S, Rissler V, Stanek P, Desponds J, Lazarevic V, Lehmann S, Fontes M, Ågerstam H, Sandén C, Orsmark-Pietras C, Zhong X, Juliusson G, Thorsson H, Fioretos T. The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes. Nat Commun. 2025;16:10592. https://doi.org/10.1038/s41467-025-66546-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/npm1-immune-evasion-subtypes
️ Episode:220: The AML cellular state space reveals NPM1 immune evasion subtypes
️ Season:1
 Article title:The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing AML heterogeneity, single-cell sequencing approaches, isolation of AML immature cells, the NPM1 class I/II dichotomy, MHC-II downregulation and CIITA, intrinsic T cell resistance, ex vivo T cell assays, HSCT outcomes, and the minimal 30-gene panel for clinical implementation.- transcript topics: AML heterogeneity and leukemia stem cells; Single-cell multimodal sequencing (scRNA-seq + scADT-seq); Isolation and characterization of AML immature cells; NPM1-mutated AML: NPM1 class I and NPM1 class II; MHC class II downregulation and CIITA regulation; Intrinsic T cell resistance and alternative checkpoint pathways
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[220: AML cell states reveal NPM1 immune-evasion subtypes]]>
                </itunes:title>
                                    <itunes:episode>220</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Lilljebjörn H et al., Nat Commun - Single-cell and bulk sequencing of 120 AML cases reveal two NPM1-mutated subtypes with distinct immune evasion mechanisms and divergent responses to hematopoietic stem cell transplantation. Key terms: acute myeloid leukemia, single-cell RNA-seq, NPM1, immune evasion, hematopoietic stem cell transplantation.</p>
<p> Study Highlights:<br />Bulk RNA-seq profiles are strongly confounded by variable mature cell-type signatures that can conceal subtype-specific blast programs. Single-cell multimodal sequencing of AML identified four main clusters of immature leukemic cells and separated NPM1-mutated cases into NPM1class I and NPM1class II. NPM1class I is marked by MHC class II downregulation and shows a significant survival benefit from HSCT, while NPM1class II resists allogeneic T cell killing ex vivo and does not benefit from HSCT. A 180-gene signature, and a shorter 30-gene panel, distinguished the classes across external bulk cohorts and associated each subtype with different co-mutation patterns.</p>
<p> Conclusion:<br />Single-cell transcriptional profiling defines two clinically relevant NPM1 subtypes with distinct immune evasion strategies that may inform HSCT decisions and immunotherapy approaches.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Lilljebjörn H</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66546-6</p>
<p> Reference:<br />Lilljebjörn H, Henningsson R, Rissler M, Landberg N, Puente-Moncada N, von Palffy S, Rissler V, Stanek P, Desponds J, Lazarevic V, Lehmann S, Fontes M, Ågerstam H, Sandén C, Orsmark-Pietras C, Zhong X, Juliusson G, Thorsson H, Fioretos T. The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes. Nat Commun. 2025;16:10592. https://doi.org/10.1038/s41467-025-66546-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/npm1-immune-evasion-subtypes</p>
<p>️ Episode:<br />220: The AML cellular state space reveals NPM1 immune evasion subtypes</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing AML heterogeneity, single-cell sequencing approaches, isolation of AML immature cells, the NPM1 class I/II dichotomy, MHC-II downregulation and CIITA, intrinsic T cell resistance, ex vivo T cell assays, HSCT outcomes, and the minimal 30-gene panel for clinical implementation.<br />- transcript topics: AML heterogeneity and leukemia stem cells; Single-cell multimodal sequencing (scRNA-seq + scADT-seq); Isolation and characterization of AML immature cells; NPM1-mutated AML: NPM1 class I and NPM1 class II; MHC class II downregulation and CIITA regulation; Intrinsic T cell resistance and alternative checkpoint pathways</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- AML heterogeneity and leukemia stem cells drive relapse<br />- Single-cell multimodal sequencing identifies AML immature cells and two NPM1 subtypes<br />- NPM1 class I downregulates MHC II and HSCT improves survival<br />- NPM1 class II shows intrinsic resistance to donor T cells and lacks HSCT benefit<br />- Ex vivo T cell co-culture shows differential sensitivity between NPM1 classes I and II<br />- A minimal 30-gene expression panel can distinguish the two NPM1 subtypes for clinical use</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                    <![CDATA[Lilljebjörn H et al., Nat Commun - Single-cell and bulk sequencing of 120 AML cases reveal two NPM1-mutated subtypes with distinct immune evasion mechanisms and divergent responses to hematopoietic stem cell transplantation. Key terms: acute myeloid leukemia, single-cell RNA-seq, NPM1, immune evasion, hematopoietic stem cell transplantation.
 Study Highlights:Bulk RNA-seq profiles are strongly confounded by variable mature cell-type signatures that can conceal subtype-specific blast programs. Single-cell multimodal sequencing of AML identified four main clusters of immature leukemic cells and separated NPM1-mutated cases into NPM1class I and NPM1class II. NPM1class I is marked by MHC class II downregulation and shows a significant survival benefit from HSCT, while NPM1class II resists allogeneic T cell killing ex vivo and does not benefit from HSCT. A 180-gene signature, and a shorter 30-gene panel, distinguished the classes across external bulk cohorts and associated each subtype with different co-mutation patterns.
 Conclusion:Single-cell transcriptional profiling defines two clinically relevant NPM1 subtypes with distinct immune evasion strategies that may inform HSCT decisions and immunotherapy approaches.
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Lilljebjörn H
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66546-6
 Reference:Lilljebjörn H, Henningsson R, Rissler M, Landberg N, Puente-Moncada N, von Palffy S, Rissler V, Stanek P, Desponds J, Lazarevic V, Lehmann S, Fontes M, Ågerstam H, Sandén C, Orsmark-Pietras C, Zhong X, Juliusson G, Thorsson H, Fioretos T. The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes. Nat Commun. 2025;16:10592. https://doi.org/10.1038/s41467-025-66546-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/npm1-immune-evasion-subtypes
️ Episode:220: The AML cellular state space reveals NPM1 immune evasion subtypes
️ Season:1
 Article title:The AML cellular state space unveils NPM1 immune evasion subtypes with distinct clinical outcomes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing AML heterogeneity, single-cell sequencing approaches, isolation of AML immature cells, the NPM1 class I/II dichotomy, MHC-II downregulation and CIITA, intrinsic T cell resistance, ex vivo T cell assays, HSCT outcomes, and the minimal 30-gene panel for clinical implementation.- transcript topics: AML heterogeneity and leukemia stem cells; Single-cell multimodal sequencing (scRNA-seq + scADT-seq); Isolation and characterization of AML immature cells; NPM1-mutated AML: NPM1 class I and NPM1 class II; MHC class II downregulation and CIITA regulation; Intrinsic T cell resistance and alternative checkpoint pathways
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:15:48</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[219: Multi-omic mapping of lipid dysregulation in Parkinson’s brain]]>
                </title>
                <pubDate>Sat, 06 Dec 2025 08:11:05 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                    <link>https://basebybase.castos.com/episodes/lipid-dysregulation-parkinsons-brain</link>
                                <description>
                                            <![CDATA[<p>Hällqvist J et al., Nature Communications - Targeted multi-region lipidomics with proteomic and mitochondrial data reveals region- and stage-specific lipid alterations in Parkinson’s disease that converge on mitochondrial dysfunction. Key terms: lipids, parkinsons disease, putamen, ceramide, plasmalogens.</p>
<p> Study Highlights:<br />The study quantified 146 lipid species across eight anatomically distinct post-mortem brain regions in controls and mid- and late-stage Parkinson’s disease using targeted LC-MS/MS and integrated proteomics and mitochondrial assays. Control brains showed distinct regional lipid signatures and age-associated increases in hexosylceramides, while PD brains exhibited cortical elevations of gangliosides, HexCer and Hex2Cer and subcortical reductions of glycosphingolipids alongside increased sphingolipids and decreased phospholipids. The putamen displayed the most pronounced mid-stage changes with depletion of very long-chain ceramides and plasmalogen PE that normalized in late-stage disease, and lyso-phosphatidylcholine rose progressively with disease stage. Correlative multi-omic analysis linked sphingomyelin species to PD-related proteins and associated putaminal lipids including plasmalogens, long-chain ceramides, lyso-PC and HexCer with altered mitochondrial complex I activity.</p>
<p> Conclusion:<br />Region- and stage-specific lipid remodeling in Parkinson’s disease converges with mitochondrial dysfunction and identifies lipid pathways that may contribute to disease progression and therapeutic targeting</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Hällqvist J</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65489-2</p>
<p> Reference:<br />Hällqvist J, Toomey CE, Pinto R, Baldwin T, Doykov I, Wernick A, Al Shahrani M, Evans JR, Lachica J, Pope S, Heales S, Eaton S, Mills K, Gandhi S &amp; Heywood WE. Multi-omic analysis reveals lipid dysregulation associated with mitochondrial dysfunction in Parkinson’s disease brain. Nature Communications. 2025;16:10490. https://doi.org/10.1038/s41467-025-65489-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/lipid-dysregulation-parkinsons-brain</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of the transcript's scientific claims about regional lipid remodeling in PD, ceramide chain-length shifts, putamen-specific changes, mitochondrial correlations, and multi-omic integration, with attention to disease progression and potential protective responses.<br />- transcript topics: Regional lipid remodeling across eight brain regions; Ceramide chain-length alterations (short vs very long); Putamen mid-stage changes and plasmalogen PE; Glycosphingolipid patterns cortical vs subcortical; Lyso-phospholipids and plasmalogens across PD stages; Lipid-proteomics and mitochondrial complex I correlations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- licens...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Hällqvist J et al., Nature Communications - Targeted multi-region lipidomics with proteomic and mitochondrial data reveals region- and stage-specific lipid alterations in Parkinson’s disease that converge on mitochondrial dysfunction. Key terms: lipids, parkinsons disease, putamen, ceramide, plasmalogens.
 Study Highlights:The study quantified 146 lipid species across eight anatomically distinct post-mortem brain regions in controls and mid- and late-stage Parkinson’s disease using targeted LC-MS/MS and integrated proteomics and mitochondrial assays. Control brains showed distinct regional lipid signatures and age-associated increases in hexosylceramides, while PD brains exhibited cortical elevations of gangliosides, HexCer and Hex2Cer and subcortical reductions of glycosphingolipids alongside increased sphingolipids and decreased phospholipids. The putamen displayed the most pronounced mid-stage changes with depletion of very long-chain ceramides and plasmalogen PE that normalized in late-stage disease, and lyso-phosphatidylcholine rose progressively with disease stage. Correlative multi-omic analysis linked sphingomyelin species to PD-related proteins and associated putaminal lipids including plasmalogens, long-chain ceramides, lyso-PC and HexCer with altered mitochondrial complex I activity.
 Conclusion:Region- and stage-specific lipid remodeling in Parkinson’s disease converges with mitochondrial dysfunction and identifies lipid pathways that may contribute to disease progression and therapeutic targeting
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Hällqvist J
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65489-2
 Reference:Hällqvist J, Toomey CE, Pinto R, Baldwin T, Doykov I, Wernick A, Al Shahrani M, Evans JR, Lachica J, Pope S, Heales S, Eaton S, Mills K, Gandhi S & Heywood WE. Multi-omic analysis reveals lipid dysregulation associated with mitochondrial dysfunction in Parkinson’s disease brain. Nature Communications. 2025;16:10490. https://doi.org/10.1038/s41467-025-65489-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/lipid-dysregulation-parkinsons-brain
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of the transcript's scientific claims about regional lipid remodeling in PD, ceramide chain-length shifts, putamen-specific changes, mitochondrial correlations, and multi-omic integration, with attention to disease progression and potential protective responses.- transcript topics: Regional lipid remodeling across eight brain regions; Ceramide chain-length alterations (short vs very long); Putamen mid-stage changes and plasmalogen PE; Glycosphingolipid patterns cortical vs subcortical; Lyso-phospholipids and plasmalogens across PD stages; Lipid-proteomics and mitochondrial complex I correlations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- licens...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[219: Multi-omic mapping of lipid dysregulation in Parkinson’s brain]]>
                </itunes:title>
                                    <itunes:episode>219</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Hällqvist J et al., Nature Communications - Targeted multi-region lipidomics with proteomic and mitochondrial data reveals region- and stage-specific lipid alterations in Parkinson’s disease that converge on mitochondrial dysfunction. Key terms: lipids, parkinsons disease, putamen, ceramide, plasmalogens.</p>
<p> Study Highlights:<br />The study quantified 146 lipid species across eight anatomically distinct post-mortem brain regions in controls and mid- and late-stage Parkinson’s disease using targeted LC-MS/MS and integrated proteomics and mitochondrial assays. Control brains showed distinct regional lipid signatures and age-associated increases in hexosylceramides, while PD brains exhibited cortical elevations of gangliosides, HexCer and Hex2Cer and subcortical reductions of glycosphingolipids alongside increased sphingolipids and decreased phospholipids. The putamen displayed the most pronounced mid-stage changes with depletion of very long-chain ceramides and plasmalogen PE that normalized in late-stage disease, and lyso-phosphatidylcholine rose progressively with disease stage. Correlative multi-omic analysis linked sphingomyelin species to PD-related proteins and associated putaminal lipids including plasmalogens, long-chain ceramides, lyso-PC and HexCer with altered mitochondrial complex I activity.</p>
<p> Conclusion:<br />Region- and stage-specific lipid remodeling in Parkinson’s disease converges with mitochondrial dysfunction and identifies lipid pathways that may contribute to disease progression and therapeutic targeting</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Hällqvist J</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65489-2</p>
<p> Reference:<br />Hällqvist J, Toomey CE, Pinto R, Baldwin T, Doykov I, Wernick A, Al Shahrani M, Evans JR, Lachica J, Pope S, Heales S, Eaton S, Mills K, Gandhi S &amp; Heywood WE. Multi-omic analysis reveals lipid dysregulation associated with mitochondrial dysfunction in Parkinson’s disease brain. Nature Communications. 2025;16:10490. https://doi.org/10.1038/s41467-025-65489-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/lipid-dysregulation-parkinsons-brain</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of the transcript's scientific claims about regional lipid remodeling in PD, ceramide chain-length shifts, putamen-specific changes, mitochondrial correlations, and multi-omic integration, with attention to disease progression and potential protective responses.<br />- transcript topics: Regional lipid remodeling across eight brain regions; Ceramide chain-length alterations (short vs very long); Putamen mid-stage changes and plasmalogen PE; Glycosphingolipid patterns cortical vs subcortical; Lyso-phospholipids and plasmalogens across PD stages; Lipid-proteomics and mitochondrial complex I correlations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 8 anatomically distinct brain regions analyzed<br />- 146 lipid species quantified<br />- Braak staging used: mid-stage Braak 3-4 and late-stage Braak 5-6<br />- Putamen mid-stage shows depletion of very long-chain ceramides and plasmalogen PE<br />- Short-chain ceramides (C16, C18) elevated broadly in PD<br />- Cortical regions show increased glycosphingolipids (GM1, GM2, GM3) while subcortical regions show decreases</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Hällqvist J et al., Nature Communications - Targeted multi-region lipidomics with proteomic and mitochondrial data reveals region- and stage-specific lipid alterations in Parkinson’s disease that converge on mitochondrial dysfunction. Key terms: lipids, parkinsons disease, putamen, ceramide, plasmalogens.
 Study Highlights:The study quantified 146 lipid species across eight anatomically distinct post-mortem brain regions in controls and mid- and late-stage Parkinson’s disease using targeted LC-MS/MS and integrated proteomics and mitochondrial assays. Control brains showed distinct regional lipid signatures and age-associated increases in hexosylceramides, while PD brains exhibited cortical elevations of gangliosides, HexCer and Hex2Cer and subcortical reductions of glycosphingolipids alongside increased sphingolipids and decreased phospholipids. The putamen displayed the most pronounced mid-stage changes with depletion of very long-chain ceramides and plasmalogen PE that normalized in late-stage disease, and lyso-phosphatidylcholine rose progressively with disease stage. Correlative multi-omic analysis linked sphingomyelin species to PD-related proteins and associated putaminal lipids including plasmalogens, long-chain ceramides, lyso-PC and HexCer with altered mitochondrial complex I activity.
 Conclusion:Region- and stage-specific lipid remodeling in Parkinson’s disease converges with mitochondrial dysfunction and identifies lipid pathways that may contribute to disease progression and therapeutic targeting
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Hällqvist J
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65489-2
 Reference:Hällqvist J, Toomey CE, Pinto R, Baldwin T, Doykov I, Wernick A, Al Shahrani M, Evans JR, Lachica J, Pope S, Heales S, Eaton S, Mills K, Gandhi S & Heywood WE. Multi-omic analysis reveals lipid dysregulation associated with mitochondrial dysfunction in Parkinson’s disease brain. Nature Communications. 2025;16:10490. https://doi.org/10.1038/s41467-025-65489-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/lipid-dysregulation-parkinsons-brain
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of the transcript's scientific claims about regional lipid remodeling in PD, ceramide chain-length shifts, putamen-specific changes, mitochondrial correlations, and multi-omic integration, with attention to disease progression and potential protective responses.- transcript topics: Regional lipid remodeling across eight brain regions; Ceramide chain-length alterations (short vs very long); Putamen mid-stage changes and plasmalogen PE; Glycosphingolipid patterns cortical vs subcortical; Lyso-phospholipids and plasmalogens across PD stages; Lipid-proteomics and mitochondrial complex I correlations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- licens...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2271558/c1a-p6xp7-mk91dvnwt27-qvv9qg.png"></itunes:image>
                                                                            <itunes:duration>00:16:41</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[218: SIM1 and the multi-ancestry genomics of erectile dysfunction]]>
                </title>
                <pubDate>Thu, 04 Dec 2025 07:36:26 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2267219</guid>
                                    <link>https://basebybase.castos.com/episodes/genomics-erectile-dysfunction</link>
                                <description>
                                            <![CDATA[<p>Bright U et al., Nat Commun - A large multi-ancestry GWAS meta-analysis identifies a dominant SIM1-linked locus and multiple genetic connections between electronic health record-defined erectile dysfunction and cardiometabolic, psychiatric, and substance-use traits. Key terms: erectile dysfunction, GWAS, SIM1, obesity, polygenic risk.</p>
<p> Study Highlights:<br />Meta-analysis of 913,194 European and 125,315 African ancestry individuals (136,867 and 51,599 cases respectively) identified 40 independent variants in Europeans, two in Africans, and 51 lead SNPs in cross-ancestry analyses. The strongest associations mapped to a non-coding region regulating SIM1, led by rs78677597 in Europeans and rs17185536 in Africans and in the cross-ancestry meta-analysis. Genetic correlations and local analyses linked EHR-defined ED with psychiatric disorders, cardiometabolic traits, and substance use traits, and Mendelian randomization inferred bidirectional and directional causal relationships involving obesity, type 2 diabetes, cannabis use disorder and opioid use disorder. Polygenic risk scores explained up to 9.2% of variance but showed limited predictive power (AUC = 0.52), while gene-based and TWAS analyses highlighted ESR1, CTNNB1 and SLC39A8 and drug-repurposing nominated ER-α antagonists and sulindac as candidates.</p>
<p> Conclusion:<br />The study confirms a dominant SIM1-associated genetic signal for erectile dysfunction and reveals a complex, multi-factorial genetic architecture linking ED to cardiometabolic, psychiatric, and substance-use biology</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Bright U</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-66723-7</p>
<p> Reference:<br />Bright U, Chen Y, Deak JD, Zhou H, Levey DF, Gelernter J. Multi-ancestry investigation of the genomics of erectile dysfunction. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66723-7</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genomics-erectile-dysfunction</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the transcript's scientific claims describing the multi-ancestry ED GWAS, SIM1 locus, ancestry-specific signals, EHR-defined ED, MR, gSEM, correlations with psychiatric/metabolic traits, and drug repurposing implications.<br />- transcript topics: SIM1 regulatory locus as main ED signal; EUR/AFR/cross-ancestry GWAS results; EHR-defined erectile dysfunction phenotype; Mendelian randomization analyses linking ED to obesity and other traits; Genomic structural equation modeling: two major genetic factors; Gene-level signals (ESR1, CTNNB1, PHF21B, SLC39A8) and TWAS/MAGMA</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- strongest ED genetic signal maps to SIM1 regulatory region on chromosome 6; lead variants rs78677597 (EUR) and rs17185536 (AFR/cross-ancestry)<br />- 40 lead SNPs in European ancest...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Bright U et al., Nat Commun - A large multi-ancestry GWAS meta-analysis identifies a dominant SIM1-linked locus and multiple genetic connections between electronic health record-defined erectile dysfunction and cardiometabolic, psychiatric, and substance-use traits. Key terms: erectile dysfunction, GWAS, SIM1, obesity, polygenic risk.
 Study Highlights:Meta-analysis of 913,194 European and 125,315 African ancestry individuals (136,867 and 51,599 cases respectively) identified 40 independent variants in Europeans, two in Africans, and 51 lead SNPs in cross-ancestry analyses. The strongest associations mapped to a non-coding region regulating SIM1, led by rs78677597 in Europeans and rs17185536 in Africans and in the cross-ancestry meta-analysis. Genetic correlations and local analyses linked EHR-defined ED with psychiatric disorders, cardiometabolic traits, and substance use traits, and Mendelian randomization inferred bidirectional and directional causal relationships involving obesity, type 2 diabetes, cannabis use disorder and opioid use disorder. Polygenic risk scores explained up to 9.2% of variance but showed limited predictive power (AUC = 0.52), while gene-based and TWAS analyses highlighted ESR1, CTNNB1 and SLC39A8 and drug-repurposing nominated ER-α antagonists and sulindac as candidates.
 Conclusion:The study confirms a dominant SIM1-associated genetic signal for erectile dysfunction and reveals a complex, multi-factorial genetic architecture linking ED to cardiometabolic, psychiatric, and substance-use biology
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Bright U
 Journal:Nat Commun
 DOI:10.1038/s41467-025-66723-7
 Reference:Bright U, Chen Y, Deak JD, Zhou H, Levey DF, Gelernter J. Multi-ancestry investigation of the genomics of erectile dysfunction. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66723-7
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genomics-erectile-dysfunction
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the transcript's scientific claims describing the multi-ancestry ED GWAS, SIM1 locus, ancestry-specific signals, EHR-defined ED, MR, gSEM, correlations with psychiatric/metabolic traits, and drug repurposing implications.- transcript topics: SIM1 regulatory locus as main ED signal; EUR/AFR/cross-ancestry GWAS results; EHR-defined erectile dysfunction phenotype; Mendelian randomization analyses linking ED to obesity and other traits; Genomic structural equation modeling: two major genetic factors; Gene-level signals (ESR1, CTNNB1, PHF21B, SLC39A8) and TWAS/MAGMA
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- strongest ED genetic signal maps to SIM1 regulatory region on chromosome 6; lead variants rs78677597 (EUR) and rs17185536 (AFR/cross-ancestry)- 40 lead SNPs in European ancest...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[218: SIM1 and the multi-ancestry genomics of erectile dysfunction]]>
                </itunes:title>
                                    <itunes:episode>218</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Bright U et al., Nat Commun - A large multi-ancestry GWAS meta-analysis identifies a dominant SIM1-linked locus and multiple genetic connections between electronic health record-defined erectile dysfunction and cardiometabolic, psychiatric, and substance-use traits. Key terms: erectile dysfunction, GWAS, SIM1, obesity, polygenic risk.</p>
<p> Study Highlights:<br />Meta-analysis of 913,194 European and 125,315 African ancestry individuals (136,867 and 51,599 cases respectively) identified 40 independent variants in Europeans, two in Africans, and 51 lead SNPs in cross-ancestry analyses. The strongest associations mapped to a non-coding region regulating SIM1, led by rs78677597 in Europeans and rs17185536 in Africans and in the cross-ancestry meta-analysis. Genetic correlations and local analyses linked EHR-defined ED with psychiatric disorders, cardiometabolic traits, and substance use traits, and Mendelian randomization inferred bidirectional and directional causal relationships involving obesity, type 2 diabetes, cannabis use disorder and opioid use disorder. Polygenic risk scores explained up to 9.2% of variance but showed limited predictive power (AUC = 0.52), while gene-based and TWAS analyses highlighted ESR1, CTNNB1 and SLC39A8 and drug-repurposing nominated ER-α antagonists and sulindac as candidates.</p>
<p> Conclusion:<br />The study confirms a dominant SIM1-associated genetic signal for erectile dysfunction and reveals a complex, multi-factorial genetic architecture linking ED to cardiometabolic, psychiatric, and substance-use biology</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Bright U</p>
<p> Journal:<br />Nat Commun</p>
<p> DOI:<br />10.1038/s41467-025-66723-7</p>
<p> Reference:<br />Bright U, Chen Y, Deak JD, Zhou H, Levey DF, Gelernter J. Multi-ancestry investigation of the genomics of erectile dysfunction. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66723-7</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genomics-erectile-dysfunction</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the transcript's scientific claims describing the multi-ancestry ED GWAS, SIM1 locus, ancestry-specific signals, EHR-defined ED, MR, gSEM, correlations with psychiatric/metabolic traits, and drug repurposing implications.<br />- transcript topics: SIM1 regulatory locus as main ED signal; EUR/AFR/cross-ancestry GWAS results; EHR-defined erectile dysfunction phenotype; Mendelian randomization analyses linking ED to obesity and other traits; Genomic structural equation modeling: two major genetic factors; Gene-level signals (ESR1, CTNNB1, PHF21B, SLC39A8) and TWAS/MAGMA</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- strongest ED genetic signal maps to SIM1 regulatory region on chromosome 6; lead variants rs78677597 (EUR) and rs17185536 (AFR/cross-ancestry)<br />- 40 lead SNPs in European ancestry; 2 lead SNPs in African ancestry; 51 lead SNPs in cross-ancestry analyses<br />- EHR-defined ED (EHR-ED) phenotype defined by ICD-10 code N52 or ED drug prescriptions<br />- Mendelian randomization (MR) shows ED risk variants are a stronger causal factor for morbid obesity than obesity-related ED; bidirectional relations with some traits<br />- Genomic SEM identifies two major genetic factors: Factor 1 (behavioral/psychiatric) and Factor 3 (metabolic); ED loads on both via co-loading<br />- Drug repurposing highlights ESR1 antagonists and CTNNB1-related targets; sulindac discussed as PDE5 inhibitor and β-catenin modulator</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Bright U et al., Nat Commun - A large multi-ancestry GWAS meta-analysis identifies a dominant SIM1-linked locus and multiple genetic connections between electronic health record-defined erectile dysfunction and cardiometabolic, psychiatric, and substance-use traits. Key terms: erectile dysfunction, GWAS, SIM1, obesity, polygenic risk.
 Study Highlights:Meta-analysis of 913,194 European and 125,315 African ancestry individuals (136,867 and 51,599 cases respectively) identified 40 independent variants in Europeans, two in Africans, and 51 lead SNPs in cross-ancestry analyses. The strongest associations mapped to a non-coding region regulating SIM1, led by rs78677597 in Europeans and rs17185536 in Africans and in the cross-ancestry meta-analysis. Genetic correlations and local analyses linked EHR-defined ED with psychiatric disorders, cardiometabolic traits, and substance use traits, and Mendelian randomization inferred bidirectional and directional causal relationships involving obesity, type 2 diabetes, cannabis use disorder and opioid use disorder. Polygenic risk scores explained up to 9.2% of variance but showed limited predictive power (AUC = 0.52), while gene-based and TWAS analyses highlighted ESR1, CTNNB1 and SLC39A8 and drug-repurposing nominated ER-α antagonists and sulindac as candidates.
 Conclusion:The study confirms a dominant SIM1-associated genetic signal for erectile dysfunction and reveals a complex, multi-factorial genetic architecture linking ED to cardiometabolic, psychiatric, and substance-use biology
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Bright U
 Journal:Nat Commun
 DOI:10.1038/s41467-025-66723-7
 Reference:Bright U, Chen Y, Deak JD, Zhou H, Levey DF, Gelernter J. Multi-ancestry investigation of the genomics of erectile dysfunction. Nat Commun. 2025. https://doi.org/10.1038/s41467-025-66723-7
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genomics-erectile-dysfunction
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the transcript's scientific claims describing the multi-ancestry ED GWAS, SIM1 locus, ancestry-specific signals, EHR-defined ED, MR, gSEM, correlations with psychiatric/metabolic traits, and drug repurposing implications.- transcript topics: SIM1 regulatory locus as main ED signal; EUR/AFR/cross-ancestry GWAS results; EHR-defined erectile dysfunction phenotype; Mendelian randomization analyses linking ED to obesity and other traits; Genomic structural equation modeling: two major genetic factors; Gene-level signals (ESR1, CTNNB1, PHF21B, SLC39A8) and TWAS/MAGMA
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- strongest ED genetic signal maps to SIM1 regulatory region on chromosome 6; lead variants rs78677597 (EUR) and rs17185536 (AFR/cross-ancestry)- 40 lead SNPs in European ancest...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2267219/c1a-p6xp7-pknj37z0ujdk-hmk8ro.png"></itunes:image>
                                                                            <itunes:duration>00:19:37</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[217: Multiscale triads of meiotic crossover patterning]]>
                </title>
                <pubDate>Wed, 03 Dec 2025 06:19:31 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2265665</guid>
                                    <link>https://basebybase.castos.com/episodes/multiscale-crossover-triad-patterning</link>
                                <description>
                                            <![CDATA[<p>White MA et al., Nature Communications - FFT and inverse-FFT analysis of Zip3/Zip2, Hop1 and Zip1 on yeast pachytene chromosomes reveals two interdigitated tiers of evenly spaced protein triads that correspond to canonical and minority crossovers and are differentially regulated by Pch2/TRIP13. Key terms: crossover interference, meiotic chromosomes, Zip3/Zip2, Hop1, Pch2.</p>
<p> Study Highlights:<br />Quantitative fluorescence profiles and Fourier analysis identify two dominant spatial periodicities centered near 0.5 µm and 1.0 µm for Zip3/Zip2, Hop1 and Zip1 along pachytene chromosomes. Inverse FFT reconstructs narrow and broad peaks that colocalize into triads of the three proteins with intra-triad separations of ~70 nm. Shorter-periodicity triads map to canonical Zip3-defined crossovers and show classical interference, while longer-periodicity triads are interdigitated with shorter triads and also exhibit interference. The ratio, spacing relationships, and modulation by Pch2/TRIP13 support the interpretation that longer-periodicity triads correspond to minority crossovers and that Pch2 selectively alters abundance and relative loading in the longer-tier triads</p>
<p> Conclusion:<br />Crossover interference establishes two interdigitated, multiscale patterns of tightly clustered Zip2/Zip3–Hop1–Zip1 triads along meiotic chromosomes, linking canonical and minority crossovers into a single interference-governed process</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />White MA</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65423-6</p>
<p> Reference:<br />White MA, Weiner B, Chu L, Lim G, Prentiss M &amp; Kleckner N. Crossover interference mediates multiscale patterning along meiotic chromosomes. Nature Communications. 2025;16:10453. https://doi.org/10.1038/s41467-025-65423-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/multiscale-crossover-triad-patterning</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's discussion of the paper's key scientific claims and methods: FFT/IFFT decomposition revealing two periodicities, triad clustering of Zip3-Hop1-Zip1, canonical vs minority crossovers, interdigitation and spacing, CoC/LCoC analyses, and the role of Pch2, including a two-tier sequential model and<br />- transcript topics: Crossover interference and canonical vs minority crossovers; FFT and inverse-FFT analysis revealing two periodicities; Triad structure of Zip3-Hop1-Zip1 along chromosomes; Interference metrics: CoC and LCoC; Interdigitation of two triad types and precursor spacing (~0.23 μm); Minority crossovers and their ratio to canonical crossovers (~0.46:1)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Two interdigitated patterns with shorter (~0.5 μm) and longer (~1 μm) periodicities for crossover-related components<br />- Triplet (triad) clustering of Zip...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[White MA et al., Nature Communications - FFT and inverse-FFT analysis of Zip3/Zip2, Hop1 and Zip1 on yeast pachytene chromosomes reveals two interdigitated tiers of evenly spaced protein triads that correspond to canonical and minority crossovers and are differentially regulated by Pch2/TRIP13. Key terms: crossover interference, meiotic chromosomes, Zip3/Zip2, Hop1, Pch2.
 Study Highlights:Quantitative fluorescence profiles and Fourier analysis identify two dominant spatial periodicities centered near 0.5 µm and 1.0 µm for Zip3/Zip2, Hop1 and Zip1 along pachytene chromosomes. Inverse FFT reconstructs narrow and broad peaks that colocalize into triads of the three proteins with intra-triad separations of ~70 nm. Shorter-periodicity triads map to canonical Zip3-defined crossovers and show classical interference, while longer-periodicity triads are interdigitated with shorter triads and also exhibit interference. The ratio, spacing relationships, and modulation by Pch2/TRIP13 support the interpretation that longer-periodicity triads correspond to minority crossovers and that Pch2 selectively alters abundance and relative loading in the longer-tier triads
 Conclusion:Crossover interference establishes two interdigitated, multiscale patterns of tightly clustered Zip2/Zip3–Hop1–Zip1 triads along meiotic chromosomes, linking canonical and minority crossovers into a single interference-governed process
 Music:Enjoy the music based on this article at the end of the episode.
 First author:White MA
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65423-6
 Reference:White MA, Weiner B, Chu L, Lim G, Prentiss M & Kleckner N. Crossover interference mediates multiscale patterning along meiotic chromosomes. Nature Communications. 2025;16:10453. https://doi.org/10.1038/s41467-025-65423-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/multiscale-crossover-triad-patterning
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's discussion of the paper's key scientific claims and methods: FFT/IFFT decomposition revealing two periodicities, triad clustering of Zip3-Hop1-Zip1, canonical vs minority crossovers, interdigitation and spacing, CoC/LCoC analyses, and the role of Pch2, including a two-tier sequential model and- transcript topics: Crossover interference and canonical vs minority crossovers; FFT and inverse-FFT analysis revealing two periodicities; Triad structure of Zip3-Hop1-Zip1 along chromosomes; Interference metrics: CoC and LCoC; Interdigitation of two triad types and precursor spacing (~0.23 μm); Minority crossovers and their ratio to canonical crossovers (~0.46:1)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Two interdigitated patterns with shorter (~0.5 μm) and longer (~1 μm) periodicities for crossover-related components- Triplet (triad) clustering of Zip...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[217: Multiscale triads of meiotic crossover patterning]]>
                </itunes:title>
                                    <itunes:episode>217</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>White MA et al., Nature Communications - FFT and inverse-FFT analysis of Zip3/Zip2, Hop1 and Zip1 on yeast pachytene chromosomes reveals two interdigitated tiers of evenly spaced protein triads that correspond to canonical and minority crossovers and are differentially regulated by Pch2/TRIP13. Key terms: crossover interference, meiotic chromosomes, Zip3/Zip2, Hop1, Pch2.</p>
<p> Study Highlights:<br />Quantitative fluorescence profiles and Fourier analysis identify two dominant spatial periodicities centered near 0.5 µm and 1.0 µm for Zip3/Zip2, Hop1 and Zip1 along pachytene chromosomes. Inverse FFT reconstructs narrow and broad peaks that colocalize into triads of the three proteins with intra-triad separations of ~70 nm. Shorter-periodicity triads map to canonical Zip3-defined crossovers and show classical interference, while longer-periodicity triads are interdigitated with shorter triads and also exhibit interference. The ratio, spacing relationships, and modulation by Pch2/TRIP13 support the interpretation that longer-periodicity triads correspond to minority crossovers and that Pch2 selectively alters abundance and relative loading in the longer-tier triads</p>
<p> Conclusion:<br />Crossover interference establishes two interdigitated, multiscale patterns of tightly clustered Zip2/Zip3–Hop1–Zip1 triads along meiotic chromosomes, linking canonical and minority crossovers into a single interference-governed process</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />White MA</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65423-6</p>
<p> Reference:<br />White MA, Weiner B, Chu L, Lim G, Prentiss M &amp; Kleckner N. Crossover interference mediates multiscale patterning along meiotic chromosomes. Nature Communications. 2025;16:10453. https://doi.org/10.1038/s41467-025-65423-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/multiscale-crossover-triad-patterning</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's discussion of the paper's key scientific claims and methods: FFT/IFFT decomposition revealing two periodicities, triad clustering of Zip3-Hop1-Zip1, canonical vs minority crossovers, interdigitation and spacing, CoC/LCoC analyses, and the role of Pch2, including a two-tier sequential model and<br />- transcript topics: Crossover interference and canonical vs minority crossovers; FFT and inverse-FFT analysis revealing two periodicities; Triad structure of Zip3-Hop1-Zip1 along chromosomes; Interference metrics: CoC and LCoC; Interdigitation of two triad types and precursor spacing (~0.23 μm); Minority crossovers and their ratio to canonical crossovers (~0.46:1)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Two interdigitated patterns with shorter (~0.5 μm) and longer (~1 μm) periodicities for crossover-related components<br />- Triplet (triad) clustering of Zip3, Hop1, Zip1 at periodicities (≈0.5 μm and ≈1 μm)<br />- Shorter periodicity triads correspond to canonical crossovers with strong interference (CoC/LCoC values similar to canonical crossovers)<br />- Longer periodicity triads correspond to minority crossovers with strong interference and interdigitation with shorter triads<br />- Inter-triad distance between long and short triads ≈0.27 μm; nearest precursor site spacing ≈0.23 μm<br />- Ratio of longer to shorter periodicity triads and their relation to minority vs canonical crossovers ≈0.5:1; minority/canonical crossover ratio ≈0.46:1</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[White MA et al., Nature Communications - FFT and inverse-FFT analysis of Zip3/Zip2, Hop1 and Zip1 on yeast pachytene chromosomes reveals two interdigitated tiers of evenly spaced protein triads that correspond to canonical and minority crossovers and are differentially regulated by Pch2/TRIP13. Key terms: crossover interference, meiotic chromosomes, Zip3/Zip2, Hop1, Pch2.
 Study Highlights:Quantitative fluorescence profiles and Fourier analysis identify two dominant spatial periodicities centered near 0.5 µm and 1.0 µm for Zip3/Zip2, Hop1 and Zip1 along pachytene chromosomes. Inverse FFT reconstructs narrow and broad peaks that colocalize into triads of the three proteins with intra-triad separations of ~70 nm. Shorter-periodicity triads map to canonical Zip3-defined crossovers and show classical interference, while longer-periodicity triads are interdigitated with shorter triads and also exhibit interference. The ratio, spacing relationships, and modulation by Pch2/TRIP13 support the interpretation that longer-periodicity triads correspond to minority crossovers and that Pch2 selectively alters abundance and relative loading in the longer-tier triads
 Conclusion:Crossover interference establishes two interdigitated, multiscale patterns of tightly clustered Zip2/Zip3–Hop1–Zip1 triads along meiotic chromosomes, linking canonical and minority crossovers into a single interference-governed process
 Music:Enjoy the music based on this article at the end of the episode.
 First author:White MA
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65423-6
 Reference:White MA, Weiner B, Chu L, Lim G, Prentiss M & Kleckner N. Crossover interference mediates multiscale patterning along meiotic chromosomes. Nature Communications. 2025;16:10453. https://doi.org/10.1038/s41467-025-65423-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/multiscale-crossover-triad-patterning
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's discussion of the paper's key scientific claims and methods: FFT/IFFT decomposition revealing two periodicities, triad clustering of Zip3-Hop1-Zip1, canonical vs minority crossovers, interdigitation and spacing, CoC/LCoC analyses, and the role of Pch2, including a two-tier sequential model and- transcript topics: Crossover interference and canonical vs minority crossovers; FFT and inverse-FFT analysis revealing two periodicities; Triad structure of Zip3-Hop1-Zip1 along chromosomes; Interference metrics: CoC and LCoC; Interdigitation of two triad types and precursor spacing (~0.23 μm); Minority crossovers and their ratio to canonical crossovers (~0.46:1)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Two interdigitated patterns with shorter (~0.5 μm) and longer (~1 μm) periodicities for crossover-related components- Triplet (triad) clustering of Zip...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2265665/c1a-p6xp7-pknj37zqf19v-ey3vul.png"></itunes:image>
                                                                            <itunes:duration>00:17:47</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[216: 53BP1-RIF1 and DNA-PKcs: distinct interactions in chromosomal break repair]]>
                </title>
                <pubDate>Tue, 02 Dec 2025 09:45:40 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2263929</guid>
                                    <link>https://basebybase.castos.com/episodes/53bp1-rif1-dna-pkcs</link>
                                <description>
                                            <![CDATA[<p>Makins K et al., Nature Communications - This episode reviews a study showing that 53BP1-RIF1 and DNA-PKcs have different genetic relationships across blunt end joining, deletion patterns, HDR, and radiosensitivity. Key terms: 53BP1, DNA-PKcs, RIF1, non-homologous end joining, microhomology.</p>
<p> Study Highlights:<br />Using EJ7-GFP and MA-del reporters in HEK293 cells, loss of 53BP1 alone did not reduce blunt No Indel EJ but amplified the decrease caused by DNA-PKcs kinase inhibition (M3814) or PRKDC knockout. Disruption of 53BP1 or RIF1, and DNA-PKcs inhibition or loss, each caused a similar shift toward deletions with increased microhomology and reduced non-microhomology deletions, with combined disruption not additive. 53BP1 loss reduced blunt EJ efficiency in XLF-deficient cells and the deletion pattern of the 53BP1/XLF double mutant resembled that of 53BP1 loss alone. DNA-PKcs kinase inhibition produced marked increases in HDR and radiosensitivity that differed from genetic DNA-PKcs loss and were not fully additive with 53BP1 or RIF1 loss.</p>
<p> Conclusion:<br />53BP1-RIF1 act as a backup to DNA-PKcs for blunt DSB end joining but function in the same pathway as DNA-PKcs to limit microhomology-mediated deletions, while DNA-PKcs kinase inhibition broadly perturbs repair outcomes and increases radiosensitivity</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Makins K</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65329-3</p>
<p> Reference:<br />Makins K, Cisneros-Aguirre M, Lopezcolorado FW &amp; Stark JM. 53BP1-RIF1 and DNA-PKcs show distinct genetic interactions with diverse chromosomal break repair outcomes. Nature Communications. 2025;16:10361. https://doi.org/10.1038/s41467-025-65329-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/53bp1-rif1-dna-pkcs</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing (a) the interplay between 53BP1-RIF1 and DNA-PKcs in blunt end joining, (b) deletion/microhomology patterns (MA-del and related assays), (c) HDR and radiosensitivity outcomes (LMNA-HDR and clonogenic assays), (d) role of XLF and RIF1 as context modifiers, and (e) comparisons b<br />- transcript topics: EJ7-GFP No Indel EJ assay and 53BP1/DNA-PKcs interaction; MA-del assay: deletion patterns and microhomology usage; HDR frequency via LMNA-HDR assay; Radiosensitivity and clonogenic survival after IR; Roles of 53BP1, RIF1, XLF in end-joining and synapsis; DNA-PKcs kinase inhibition vs genetic loss</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 3<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 53BP1-RIF1 acts as a backup to DNA-PKcs for blunt DSB end joining (NHEJ).<br />- Disruption of 53BP1 or RIF1 increases microhomology-mediated deletions; combined disruption with DNA-PKcs disruption is not additive for this outcome.<br />- DNA-PKcs kinase inhibition (M3814) produces larger shifts in r...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Makins K et al., Nature Communications - This episode reviews a study showing that 53BP1-RIF1 and DNA-PKcs have different genetic relationships across blunt end joining, deletion patterns, HDR, and radiosensitivity. Key terms: 53BP1, DNA-PKcs, RIF1, non-homologous end joining, microhomology.
 Study Highlights:Using EJ7-GFP and MA-del reporters in HEK293 cells, loss of 53BP1 alone did not reduce blunt No Indel EJ but amplified the decrease caused by DNA-PKcs kinase inhibition (M3814) or PRKDC knockout. Disruption of 53BP1 or RIF1, and DNA-PKcs inhibition or loss, each caused a similar shift toward deletions with increased microhomology and reduced non-microhomology deletions, with combined disruption not additive. 53BP1 loss reduced blunt EJ efficiency in XLF-deficient cells and the deletion pattern of the 53BP1/XLF double mutant resembled that of 53BP1 loss alone. DNA-PKcs kinase inhibition produced marked increases in HDR and radiosensitivity that differed from genetic DNA-PKcs loss and were not fully additive with 53BP1 or RIF1 loss.
 Conclusion:53BP1-RIF1 act as a backup to DNA-PKcs for blunt DSB end joining but function in the same pathway as DNA-PKcs to limit microhomology-mediated deletions, while DNA-PKcs kinase inhibition broadly perturbs repair outcomes and increases radiosensitivity
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Makins K
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65329-3
 Reference:Makins K, Cisneros-Aguirre M, Lopezcolorado FW & Stark JM. 53BP1-RIF1 and DNA-PKcs show distinct genetic interactions with diverse chromosomal break repair outcomes. Nature Communications. 2025;16:10361. https://doi.org/10.1038/s41467-025-65329-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/53bp1-rif1-dna-pkcs
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing (a) the interplay between 53BP1-RIF1 and DNA-PKcs in blunt end joining, (b) deletion/microhomology patterns (MA-del and related assays), (c) HDR and radiosensitivity outcomes (LMNA-HDR and clonogenic assays), (d) role of XLF and RIF1 as context modifiers, and (e) comparisons b- transcript topics: EJ7-GFP No Indel EJ assay and 53BP1/DNA-PKcs interaction; MA-del assay: deletion patterns and microhomology usage; HDR frequency via LMNA-HDR assay; Radiosensitivity and clonogenic survival after IR; Roles of 53BP1, RIF1, XLF in end-joining and synapsis; DNA-PKcs kinase inhibition vs genetic loss
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 3- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 53BP1-RIF1 acts as a backup to DNA-PKcs for blunt DSB end joining (NHEJ).- Disruption of 53BP1 or RIF1 increases microhomology-mediated deletions; combined disruption with DNA-PKcs disruption is not additive for this outcome.- DNA-PKcs kinase inhibition (M3814) produces larger shifts in r...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[216: 53BP1-RIF1 and DNA-PKcs: distinct interactions in chromosomal break repair]]>
                </itunes:title>
                                    <itunes:episode>216</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Makins K et al., Nature Communications - This episode reviews a study showing that 53BP1-RIF1 and DNA-PKcs have different genetic relationships across blunt end joining, deletion patterns, HDR, and radiosensitivity. Key terms: 53BP1, DNA-PKcs, RIF1, non-homologous end joining, microhomology.</p>
<p> Study Highlights:<br />Using EJ7-GFP and MA-del reporters in HEK293 cells, loss of 53BP1 alone did not reduce blunt No Indel EJ but amplified the decrease caused by DNA-PKcs kinase inhibition (M3814) or PRKDC knockout. Disruption of 53BP1 or RIF1, and DNA-PKcs inhibition or loss, each caused a similar shift toward deletions with increased microhomology and reduced non-microhomology deletions, with combined disruption not additive. 53BP1 loss reduced blunt EJ efficiency in XLF-deficient cells and the deletion pattern of the 53BP1/XLF double mutant resembled that of 53BP1 loss alone. DNA-PKcs kinase inhibition produced marked increases in HDR and radiosensitivity that differed from genetic DNA-PKcs loss and were not fully additive with 53BP1 or RIF1 loss.</p>
<p> Conclusion:<br />53BP1-RIF1 act as a backup to DNA-PKcs for blunt DSB end joining but function in the same pathway as DNA-PKcs to limit microhomology-mediated deletions, while DNA-PKcs kinase inhibition broadly perturbs repair outcomes and increases radiosensitivity</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Makins K</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-65329-3</p>
<p> Reference:<br />Makins K, Cisneros-Aguirre M, Lopezcolorado FW &amp; Stark JM. 53BP1-RIF1 and DNA-PKcs show distinct genetic interactions with diverse chromosomal break repair outcomes. Nature Communications. 2025;16:10361. https://doi.org/10.1038/s41467-025-65329-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/53bp1-rif1-dna-pkcs</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing (a) the interplay between 53BP1-RIF1 and DNA-PKcs in blunt end joining, (b) deletion/microhomology patterns (MA-del and related assays), (c) HDR and radiosensitivity outcomes (LMNA-HDR and clonogenic assays), (d) role of XLF and RIF1 as context modifiers, and (e) comparisons b<br />- transcript topics: EJ7-GFP No Indel EJ assay and 53BP1/DNA-PKcs interaction; MA-del assay: deletion patterns and microhomology usage; HDR frequency via LMNA-HDR assay; Radiosensitivity and clonogenic survival after IR; Roles of 53BP1, RIF1, XLF in end-joining and synapsis; DNA-PKcs kinase inhibition vs genetic loss</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 3<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 53BP1-RIF1 acts as a backup to DNA-PKcs for blunt DSB end joining (NHEJ).<br />- Disruption of 53BP1 or RIF1 increases microhomology-mediated deletions; combined disruption with DNA-PKcs disruption is not additive for this outcome.<br />- DNA-PKcs kinase inhibition (M3814) produces larger shifts in repair outcomes (HDR increases and radiosensitivity) than genetic loss of DNA-PKcs.<br />- HDR frequency increases with 53BP1 loss in DNA-PKcs-proficient cells; M3814 treatment also increases HDR; combined perturbations show context-dependent effects.<br />- XLF interacts with 53BP1 in promoting end-joining; 53BP1 loss can reduce blunt EJ in XLF-deficient cells.<br />- RIF1 loss mirrors 53BP1 loss in several microhomology deletion patterns and its effects become pronounced under DNA-PKcs inhibition.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Makins K et al., Nature Communications - This episode reviews a study showing that 53BP1-RIF1 and DNA-PKcs have different genetic relationships across blunt end joining, deletion patterns, HDR, and radiosensitivity. Key terms: 53BP1, DNA-PKcs, RIF1, non-homologous end joining, microhomology.
 Study Highlights:Using EJ7-GFP and MA-del reporters in HEK293 cells, loss of 53BP1 alone did not reduce blunt No Indel EJ but amplified the decrease caused by DNA-PKcs kinase inhibition (M3814) or PRKDC knockout. Disruption of 53BP1 or RIF1, and DNA-PKcs inhibition or loss, each caused a similar shift toward deletions with increased microhomology and reduced non-microhomology deletions, with combined disruption not additive. 53BP1 loss reduced blunt EJ efficiency in XLF-deficient cells and the deletion pattern of the 53BP1/XLF double mutant resembled that of 53BP1 loss alone. DNA-PKcs kinase inhibition produced marked increases in HDR and radiosensitivity that differed from genetic DNA-PKcs loss and were not fully additive with 53BP1 or RIF1 loss.
 Conclusion:53BP1-RIF1 act as a backup to DNA-PKcs for blunt DSB end joining but function in the same pathway as DNA-PKcs to limit microhomology-mediated deletions, while DNA-PKcs kinase inhibition broadly perturbs repair outcomes and increases radiosensitivity
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Makins K
 Journal:Nature Communications
 DOI:10.1038/s41467-025-65329-3
 Reference:Makins K, Cisneros-Aguirre M, Lopezcolorado FW & Stark JM. 53BP1-RIF1 and DNA-PKcs show distinct genetic interactions with diverse chromosomal break repair outcomes. Nature Communications. 2025;16:10361. https://doi.org/10.1038/s41467-025-65329-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/53bp1-rif1-dna-pkcs
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing (a) the interplay between 53BP1-RIF1 and DNA-PKcs in blunt end joining, (b) deletion/microhomology patterns (MA-del and related assays), (c) HDR and radiosensitivity outcomes (LMNA-HDR and clonogenic assays), (d) role of XLF and RIF1 as context modifiers, and (e) comparisons b- transcript topics: EJ7-GFP No Indel EJ assay and 53BP1/DNA-PKcs interaction; MA-del assay: deletion patterns and microhomology usage; HDR frequency via LMNA-HDR assay; Radiosensitivity and clonogenic survival after IR; Roles of 53BP1, RIF1, XLF in end-joining and synapsis; DNA-PKcs kinase inhibition vs genetic loss
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 3- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 53BP1-RIF1 acts as a backup to DNA-PKcs for blunt DSB end joining (NHEJ).- Disruption of 53BP1 or RIF1 increases microhomology-mediated deletions; combined disruption with DNA-PKcs disruption is not additive for this outcome.- DNA-PKcs kinase inhibition (M3814) produces larger shifts in r...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:18:27</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[215: Protein Set Transformer for high-diversity viromics]]>
                </title>
                <pubDate>Mon, 01 Dec 2025 09:46:19 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2261229</guid>
                                    <link>https://basebybase.castos.com/episodes/protein-set-transformer</link>
                                <description>
                                            <![CDATA[<p>Martin et al., Nat Commun (2025) - Protein Set Transformer (PST) is a protein-based genome language model that represents genomes as sets of proteins to improve genome and protein representations across diverse viral datasets. Key terms: viromics, protein-language-model, genome-embeddings, triplet-loss, host-prediction.</p>
<p> Study Highlights:<br />PST embeds proteins with ESM2, concatenates positional and strand vectors, contextualizes proteins with a multi-head attention encoder, and produces genome embeddings via a learnable weighted decoder pooling. The foundation PST-TL models were pretrained on &gt;100k dereplicated viral genomes encoding &gt;6M proteins using a triplet-loss objective with PointSwap augmentation and evaluated on IMG/VR v4 and MGnify soil virus test sets. PST-TL outperformed other protein- and nucleotide-based methods at recovering genome–genome relationships, including remote relationships, and its protein embeddings clustered structural capsid folds and late-gene functional modules. PST improved annotation transfer for hypothetical proteins via embedding and structure-aware clustering and boosted viral host-species prediction when used in a graph link-prediction framework.</p>
<p> Conclusion:<br />PST provides transferable genome- and protein-level embeddings that strengthen representation, annotation, and host-prediction tasks for diverse viral and microbial genomics applications</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Martin</p>
<p> Journal:<br />Nat Commun (2025)</p>
<p> DOI:<br />10.1038/s41467-025-66049-4</p>
<p> Reference:<br />Martin, C., Gitter, A., Anantharaman, K. Protein Set Transformer: a protein-based genome language model to power high-diversity viromics. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66049-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/protein-set-transformer</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-01.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the core scientific claims and results described in PST工作 (architecture, training, data, evaluation, functional insights, host prediction, generalizability, and biosafety/licensing) as presented in the transcript.<br />- transcript topics: PST architecture: genome modeled as set of proteins with context; Protein embeddings and genome-position/strand augmentation; Triplet loss training: Chamfer distance and PointSwap; Pretraining data scale: &gt;100k viral genomes, &gt;6M proteins; Performance: PST-TL outperforms PST-CTX and PST-MLM; Remote relation detection: ASI correlations with PST embeddings</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Genomes are modeled as sets of proteins with context (not as linear sequences)<br />- ESM2 protein embeddings are augmented with two learnable vectors representing protein position and coding strand<br />- Training uses triplet loss with Chamfer distance and PointSwap augmentation</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Deep Learning in Viral Biology</li><li>(00:02:31) - Preliminary insights into viral biology</li><li>(00:08:01) - PSTTL: The Hidden Genome of Viruses</li><li>(00:11:29) - PSTTL: The Virality Model</li><li>(00:14:22) - Preston 2, Context-aware viral evolution</li><li>(00:16:19) - Signs and Numbers in the Code</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Martin et al., Nat Commun (2025) - Protein Set Transformer (PST) is a protein-based genome language model that represents genomes as sets of proteins to improve genome and protein representations across diverse viral datasets. Key terms: viromics, protein-language-model, genome-embeddings, triplet-loss, host-prediction.
 Study Highlights:PST embeds proteins with ESM2, concatenates positional and strand vectors, contextualizes proteins with a multi-head attention encoder, and produces genome embeddings via a learnable weighted decoder pooling. The foundation PST-TL models were pretrained on >100k dereplicated viral genomes encoding >6M proteins using a triplet-loss objective with PointSwap augmentation and evaluated on IMG/VR v4 and MGnify soil virus test sets. PST-TL outperformed other protein- and nucleotide-based methods at recovering genome–genome relationships, including remote relationships, and its protein embeddings clustered structural capsid folds and late-gene functional modules. PST improved annotation transfer for hypothetical proteins via embedding and structure-aware clustering and boosted viral host-species prediction when used in a graph link-prediction framework.
 Conclusion:PST provides transferable genome- and protein-level embeddings that strengthen representation, annotation, and host-prediction tasks for diverse viral and microbial genomics applications
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Martin
 Journal:Nat Commun (2025)
 DOI:10.1038/s41467-025-66049-4
 Reference:Martin, C., Gitter, A., Anantharaman, K. Protein Set Transformer: a protein-based genome language model to power high-diversity viromics. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66049-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/protein-set-transformer
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-01.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the core scientific claims and results described in PST工作 (architecture, training, data, evaluation, functional insights, host prediction, generalizability, and biosafety/licensing) as presented in the transcript.- transcript topics: PST architecture: genome modeled as set of proteins with context; Protein embeddings and genome-position/strand augmentation; Triplet loss training: Chamfer distance and PointSwap; Pretraining data scale: >100k viral genomes, >6M proteins; Performance: PST-TL outperforms PST-CTX and PST-MLM; Remote relation detection: ASI correlations with PST embeddings
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Genomes are modeled as sets of proteins with context (not as linear sequences)- ESM2 protein embeddings are augmented with two learnable vectors representing protein position and coding strand- Training uses triplet loss with Chamfer distance and PointSwap augmentation]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[215: Protein Set Transformer for high-diversity viromics]]>
                </itunes:title>
                                    <itunes:episode>215</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Martin et al., Nat Commun (2025) - Protein Set Transformer (PST) is a protein-based genome language model that represents genomes as sets of proteins to improve genome and protein representations across diverse viral datasets. Key terms: viromics, protein-language-model, genome-embeddings, triplet-loss, host-prediction.</p>
<p> Study Highlights:<br />PST embeds proteins with ESM2, concatenates positional and strand vectors, contextualizes proteins with a multi-head attention encoder, and produces genome embeddings via a learnable weighted decoder pooling. The foundation PST-TL models were pretrained on &gt;100k dereplicated viral genomes encoding &gt;6M proteins using a triplet-loss objective with PointSwap augmentation and evaluated on IMG/VR v4 and MGnify soil virus test sets. PST-TL outperformed other protein- and nucleotide-based methods at recovering genome–genome relationships, including remote relationships, and its protein embeddings clustered structural capsid folds and late-gene functional modules. PST improved annotation transfer for hypothetical proteins via embedding and structure-aware clustering and boosted viral host-species prediction when used in a graph link-prediction framework.</p>
<p> Conclusion:<br />PST provides transferable genome- and protein-level embeddings that strengthen representation, annotation, and host-prediction tasks for diverse viral and microbial genomics applications</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Martin</p>
<p> Journal:<br />Nat Commun (2025)</p>
<p> DOI:<br />10.1038/s41467-025-66049-4</p>
<p> Reference:<br />Martin, C., Gitter, A., Anantharaman, K. Protein Set Transformer: a protein-based genome language model to power high-diversity viromics. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66049-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/protein-set-transformer</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-01.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the core scientific claims and results described in PST工作 (architecture, training, data, evaluation, functional insights, host prediction, generalizability, and biosafety/licensing) as presented in the transcript.<br />- transcript topics: PST architecture: genome modeled as set of proteins with context; Protein embeddings and genome-position/strand augmentation; Triplet loss training: Chamfer distance and PointSwap; Pretraining data scale: &gt;100k viral genomes, &gt;6M proteins; Performance: PST-TL outperforms PST-CTX and PST-MLM; Remote relation detection: ASI correlations with PST embeddings</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Genomes are modeled as sets of proteins with context (not as linear sequences)<br />- ESM2 protein embeddings are augmented with two learnable vectors representing protein position and coding strand<br />- Training uses triplet loss with Chamfer distance and PointSwap augmentation<br />- Pretraining dataset scales: &gt;100k viral genomes encoding &gt;6M proteins<br />- PST-TL outperforms alternative methods (PST-CTX, PST-MLM, etc.)<br />- PST embeddings correlate with ASI for remote relationships (positive ASI correlation when AI is near zero)</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Martin et al., Nat Commun (2025) - Protein Set Transformer (PST) is a protein-based genome language model that represents genomes as sets of proteins to improve genome and protein representations across diverse viral datasets. Key terms: viromics, protein-language-model, genome-embeddings, triplet-loss, host-prediction.
 Study Highlights:PST embeds proteins with ESM2, concatenates positional and strand vectors, contextualizes proteins with a multi-head attention encoder, and produces genome embeddings via a learnable weighted decoder pooling. The foundation PST-TL models were pretrained on >100k dereplicated viral genomes encoding >6M proteins using a triplet-loss objective with PointSwap augmentation and evaluated on IMG/VR v4 and MGnify soil virus test sets. PST-TL outperformed other protein- and nucleotide-based methods at recovering genome–genome relationships, including remote relationships, and its protein embeddings clustered structural capsid folds and late-gene functional modules. PST improved annotation transfer for hypothetical proteins via embedding and structure-aware clustering and boosted viral host-species prediction when used in a graph link-prediction framework.
 Conclusion:PST provides transferable genome- and protein-level embeddings that strengthen representation, annotation, and host-prediction tasks for diverse viral and microbial genomics applications
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Martin
 Journal:Nat Commun (2025)
 DOI:10.1038/s41467-025-66049-4
 Reference:Martin, C., Gitter, A., Anantharaman, K. Protein Set Transformer: a protein-based genome language model to power high-diversity viromics. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66049-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/protein-set-transformer
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-12-01.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the core scientific claims and results described in PST工作 (architecture, training, data, evaluation, functional insights, host prediction, generalizability, and biosafety/licensing) as presented in the transcript.- transcript topics: PST architecture: genome modeled as set of proteins with context; Protein embeddings and genome-position/strand augmentation; Triplet loss training: Chamfer distance and PointSwap; Pretraining data scale: >100k viral genomes, >6M proteins; Performance: PST-TL outperforms PST-CTX and PST-MLM; Remote relation detection: ASI correlations with PST embeddings
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Genomes are modeled as sets of proteins with context (not as linear sequences)- ESM2 protein embeddings are augmented with two learnable vectors representing protein position and coding strand- Training uses triplet loss with Chamfer distance and PointSwap augmentation]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2261229/c1a-p6xp7-z319vgx9anmm-0jnywe.png"></itunes:image>
                                                                            <itunes:duration>00:20:07</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[214: PI(4,5)P2 Asymmetry Accelerates FGF2 Secretion]]>
                </title>
                <pubDate>Sun, 30 Nov 2025 12:08:06 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2256015</guid>
                                    <link>https://basebybase.castos.com/episodes/protein-set-transformer-2</link>
                                <description>
                                            <![CDATA[<p>Kaur M et al., Nature Communications - Reconstitution of asymmetric membranes and matched cell experiments show that transbilayer asymmetry of PI(4,5)P2 lowers the energetic barrier for FGF2-driven lipidic pore formation and enables rapid unconventional secretion. Disrupting PI(4,5)P2 asymmetry in cells blocks FGF2 export. Key terms: FGF2, PI(4,5)P2, membrane asymmetry, unconventional secretion, lipidic pore.</p>
<p> Study Highlights:<br />The authors created asymmetric LUVs and GUVs by enzymatic conversion of outer-leaflet PI(4)P to PI(4,5)P2 using PIP5K1C. Time-lapse GUV assays showed that PI(4,5)P2 asymmetry accelerated FGF2-dependent lipidic pore formation (mean ≈45 min asymmetric vs ≈95 min symmetric). In CHO-K1 cells, delivering PI(4,5)P2 to the outer leaflet to disturb asymmetry prevented reappearance of surface FGF2-GFP after heparin wash. Addition of other FGF2-binding phosphoinositides (PI(3,4)P2, PI(3,4,5)P3) similarly inhibited secretion, while PI(4)P and PS did not.</p>
<p> Conclusion:<br />Transbilayer asymmetry of PI(4,5)P2 is a key biophysical determinant that facilitates FGF2 oligomer–dependent lipidic pore formation and efficient unconventional secretion.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Plasma membrane transbilayer asymmetry of PI(4,5)P2 drives unconventional secretion of Fibroblast Growth Factor 2</p>
<p> First author:<br />Kaur M</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66860-z</p>
<p> Reference:<br />Kaur M, Lolicato F, Nickel W. Plasma membrane transbilayer asymmetry of PI(4,5)P2 drives unconventional secretion of Fibroblast Growth Factor 2. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66860-z</p>
<p> License:<br />Creative Commons Attribution 4.0 International (CC BY 4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pi45p2-asymmetry-drives-fgf2-secretion</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of PI(4,5)P2 transbilayer asymmetry driving FGF2 secretion, including in vitro asymmetric membranes (LUVs/GUVs), kinase-driven outer-leaflet PI(4,5)P2 generation, cell-based disruption of asymmetry and secretion, lipid controls, kinetics, and recovery dynamics.<br />- transcript topics: FGF2 unconventional secretion overview; PI(4,5)P2 transbilayer asymmetry concept; In vitro reconstitution with asymmetric LUVs/GUVs; PIP5K1C-mediated outer-leaflet PI(4,5)P2 generation and asymmetry verification; Kinetics of FGF2 pore formation in asymmetric vs symmetric membranes; Cell-based disruption of PI(4,5)P2 asymmetry and impact on FGF2 secretion</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Core mechanism: PI(4,5)P2 transbilayer asymmetry lowers energy barrier for FGF2 membrane pore formation.<br />- In vitro, asymmetric PI(4,5)P2 on outer leaflet accelerates pore formation (GUVs) compared with symmetric membranes.<br />- Cell-based disruption of PI(4,5)P2 asymmetry inhibits FGF2 secretion.<br />- Controls show PS and PI(4)P do not inhibit secretion; PI(3,4)P2 and PI(3,4,5)P3 do inhibit secretion.<br />- G...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Deep Dive: The physics of cell secretions</li><li>(00:02:46) - How FGF2 secreates from the cell</li><li>(00:07:02) - Immunity 7, Asymmetry blocks FGF2 secretion</li><li>(00:10:24) - What is it about PI4.5p that lowers the energy</li><li>(00:13:39) - How to Find Your Way Through the Night</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kaur M et al., Nature Communications - Reconstitution of asymmetric membranes and matched cell experiments show that transbilayer asymmetry of PI(4,5)P2 lowers the energetic barrier for FGF2-driven lipidic pore formation and enables rapid unconventional secretion. Disrupting PI(4,5)P2 asymmetry in cells blocks FGF2 export. Key terms: FGF2, PI(4,5)P2, membrane asymmetry, unconventional secretion, lipidic pore.
 Study Highlights:The authors created asymmetric LUVs and GUVs by enzymatic conversion of outer-leaflet PI(4)P to PI(4,5)P2 using PIP5K1C. Time-lapse GUV assays showed that PI(4,5)P2 asymmetry accelerated FGF2-dependent lipidic pore formation (mean ≈45 min asymmetric vs ≈95 min symmetric). In CHO-K1 cells, delivering PI(4,5)P2 to the outer leaflet to disturb asymmetry prevented reappearance of surface FGF2-GFP after heparin wash. Addition of other FGF2-binding phosphoinositides (PI(3,4)P2, PI(3,4,5)P3) similarly inhibited secretion, while PI(4)P and PS did not.
 Conclusion:Transbilayer asymmetry of PI(4,5)P2 is a key biophysical determinant that facilitates FGF2 oligomer–dependent lipidic pore formation and efficient unconventional secretion.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Plasma membrane transbilayer asymmetry of PI(4,5)P2 drives unconventional secretion of Fibroblast Growth Factor 2
 First author:Kaur M
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66860-z
 Reference:Kaur M, Lolicato F, Nickel W. Plasma membrane transbilayer asymmetry of PI(4,5)P2 drives unconventional secretion of Fibroblast Growth Factor 2. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66860-z
 License:Creative Commons Attribution 4.0 International (CC BY 4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pi45p2-asymmetry-drives-fgf2-secretion
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of PI(4,5)P2 transbilayer asymmetry driving FGF2 secretion, including in vitro asymmetric membranes (LUVs/GUVs), kinase-driven outer-leaflet PI(4,5)P2 generation, cell-based disruption of asymmetry and secretion, lipid controls, kinetics, and recovery dynamics.- transcript topics: FGF2 unconventional secretion overview; PI(4,5)P2 transbilayer asymmetry concept; In vitro reconstitution with asymmetric LUVs/GUVs; PIP5K1C-mediated outer-leaflet PI(4,5)P2 generation and asymmetry verification; Kinetics of FGF2 pore formation in asymmetric vs symmetric membranes; Cell-based disruption of PI(4,5)P2 asymmetry and impact on FGF2 secretion
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Core mechanism: PI(4,5)P2 transbilayer asymmetry lowers energy barrier for FGF2 membrane pore formation.- In vitro, asymmetric PI(4,5)P2 on outer leaflet accelerates pore formation (GUVs) compared with symmetric membranes.- Cell-based disruption of PI(4,5)P2 asymmetry inhibits FGF2 secretion.- Controls show PS and PI(4)P do not inhibit secretion; PI(3,4)P2 and PI(3,4,5)P3 do inhibit secretion.- G...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[214: PI(4,5)P2 Asymmetry Accelerates FGF2 Secretion]]>
                </itunes:title>
                                    <itunes:episode>214</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kaur M et al., Nature Communications - Reconstitution of asymmetric membranes and matched cell experiments show that transbilayer asymmetry of PI(4,5)P2 lowers the energetic barrier for FGF2-driven lipidic pore formation and enables rapid unconventional secretion. Disrupting PI(4,5)P2 asymmetry in cells blocks FGF2 export. Key terms: FGF2, PI(4,5)P2, membrane asymmetry, unconventional secretion, lipidic pore.</p>
<p> Study Highlights:<br />The authors created asymmetric LUVs and GUVs by enzymatic conversion of outer-leaflet PI(4)P to PI(4,5)P2 using PIP5K1C. Time-lapse GUV assays showed that PI(4,5)P2 asymmetry accelerated FGF2-dependent lipidic pore formation (mean ≈45 min asymmetric vs ≈95 min symmetric). In CHO-K1 cells, delivering PI(4,5)P2 to the outer leaflet to disturb asymmetry prevented reappearance of surface FGF2-GFP after heparin wash. Addition of other FGF2-binding phosphoinositides (PI(3,4)P2, PI(3,4,5)P3) similarly inhibited secretion, while PI(4)P and PS did not.</p>
<p> Conclusion:<br />Transbilayer asymmetry of PI(4,5)P2 is a key biophysical determinant that facilitates FGF2 oligomer–dependent lipidic pore formation and efficient unconventional secretion.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Plasma membrane transbilayer asymmetry of PI(4,5)P2 drives unconventional secretion of Fibroblast Growth Factor 2</p>
<p> First author:<br />Kaur M</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-66860-z</p>
<p> Reference:<br />Kaur M, Lolicato F, Nickel W. Plasma membrane transbilayer asymmetry of PI(4,5)P2 drives unconventional secretion of Fibroblast Growth Factor 2. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66860-z</p>
<p> License:<br />Creative Commons Attribution 4.0 International (CC BY 4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pi45p2-asymmetry-drives-fgf2-secretion</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of PI(4,5)P2 transbilayer asymmetry driving FGF2 secretion, including in vitro asymmetric membranes (LUVs/GUVs), kinase-driven outer-leaflet PI(4,5)P2 generation, cell-based disruption of asymmetry and secretion, lipid controls, kinetics, and recovery dynamics.<br />- transcript topics: FGF2 unconventional secretion overview; PI(4,5)P2 transbilayer asymmetry concept; In vitro reconstitution with asymmetric LUVs/GUVs; PIP5K1C-mediated outer-leaflet PI(4,5)P2 generation and asymmetry verification; Kinetics of FGF2 pore formation in asymmetric vs symmetric membranes; Cell-based disruption of PI(4,5)P2 asymmetry and impact on FGF2 secretion</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Core mechanism: PI(4,5)P2 transbilayer asymmetry lowers energy barrier for FGF2 membrane pore formation.<br />- In vitro, asymmetric PI(4,5)P2 on outer leaflet accelerates pore formation (GUVs) compared with symmetric membranes.<br />- Cell-based disruption of PI(4,5)P2 asymmetry inhibits FGF2 secretion.<br />- Controls show PS and PI(4)P do not inhibit secretion; PI(3,4)P2 and PI(3,4,5)P3 do inhibit secretion.<br />- GPC1 captures FGF2 after pore formation, enabling extracellular release.<br />- Kinetics: asymmetric GUVs show ~45 min pore-formation time vs ~95 min for symmetric; cells show ~30 min acute secretion window after heparin wash; recovery occurs as outer-leaflet</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Kaur M et al., Nature Communications - Reconstitution of asymmetric membranes and matched cell experiments show that transbilayer asymmetry of PI(4,5)P2 lowers the energetic barrier for FGF2-driven lipidic pore formation and enables rapid unconventional secretion. Disrupting PI(4,5)P2 asymmetry in cells blocks FGF2 export. Key terms: FGF2, PI(4,5)P2, membrane asymmetry, unconventional secretion, lipidic pore.
 Study Highlights:The authors created asymmetric LUVs and GUVs by enzymatic conversion of outer-leaflet PI(4)P to PI(4,5)P2 using PIP5K1C. Time-lapse GUV assays showed that PI(4,5)P2 asymmetry accelerated FGF2-dependent lipidic pore formation (mean ≈45 min asymmetric vs ≈95 min symmetric). In CHO-K1 cells, delivering PI(4,5)P2 to the outer leaflet to disturb asymmetry prevented reappearance of surface FGF2-GFP after heparin wash. Addition of other FGF2-binding phosphoinositides (PI(3,4)P2, PI(3,4,5)P3) similarly inhibited secretion, while PI(4)P and PS did not.
 Conclusion:Transbilayer asymmetry of PI(4,5)P2 is a key biophysical determinant that facilitates FGF2 oligomer–dependent lipidic pore formation and efficient unconventional secretion.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Plasma membrane transbilayer asymmetry of PI(4,5)P2 drives unconventional secretion of Fibroblast Growth Factor 2
 First author:Kaur M
 Journal:Nature Communications
 DOI:10.1038/s41467-025-66860-z
 Reference:Kaur M, Lolicato F, Nickel W. Plasma membrane transbilayer asymmetry of PI(4,5)P2 drives unconventional secretion of Fibroblast Growth Factor 2. Nat Commun (2025). https://doi.org/10.1038/s41467-025-66860-z
 License:Creative Commons Attribution 4.0 International (CC BY 4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pi45p2-asymmetry-drives-fgf2-secretion
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of PI(4,5)P2 transbilayer asymmetry driving FGF2 secretion, including in vitro asymmetric membranes (LUVs/GUVs), kinase-driven outer-leaflet PI(4,5)P2 generation, cell-based disruption of asymmetry and secretion, lipid controls, kinetics, and recovery dynamics.- transcript topics: FGF2 unconventional secretion overview; PI(4,5)P2 transbilayer asymmetry concept; In vitro reconstitution with asymmetric LUVs/GUVs; PIP5K1C-mediated outer-leaflet PI(4,5)P2 generation and asymmetry verification; Kinetics of FGF2 pore formation in asymmetric vs symmetric membranes; Cell-based disruption of PI(4,5)P2 asymmetry and impact on FGF2 secretion
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Core mechanism: PI(4,5)P2 transbilayer asymmetry lowers energy barrier for FGF2 membrane pore formation.- In vitro, asymmetric PI(4,5)P2 on outer leaflet accelerates pore formation (GUVs) compared with symmetric membranes.- Cell-based disruption of PI(4,5)P2 asymmetry inhibits FGF2 secretion.- Controls show PS and PI(4)P do not inhibit secretion; PI(3,4)P2 and PI(3,4,5)P3 do inhibit secretion.- G...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2256015/c1a-p6xp7-ndr4x28msg72-jkixfp.png"></itunes:image>
                                                                            <itunes:duration>00:18:21</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2256015/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[213: BRAIN-MAGNET: Functional genomics atlas for non-coding variants]]>
                </title>
                <pubDate>Sat, 29 Nov 2025 12:10:55 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2253966</guid>
                                    <link>https://basebybase.castos.com/episodes/brain-magnet-ncre-atlas</link>
                                <description>
                                            <![CDATA[<p>Deng R et al. - BRAIN-MAGNET couples a ChIP-STARR-seq atlas of 148,198 neural regulatory elements with a validated convolutional neural network to predict enhancer activity and prioritize disease-relevant non-coding variants. Key terms: enhancers, neural stem cells, convolutional neural network, non-coding variants, functional genomics.</p>
<p> Study Highlights:<br />The authors generated an activity-ranked functional genomics atlas of 148,198 non-coding regulatory elements in human neural stem cells. Comparative ChIP-STARR-seq revealed many elements are epigenetically primed in embryonic stem cells for later neural activity. BRAIN-MAGNET, a convolutional neural network trained on the atlas, predicts enhancer activity from DNA sequence and computes nucleotide-level contribution scores to identify functional motifs. The model outperformed other prioritization scores at tested loci and enabled prioritization and functional validation of both common GWAS SNPs and rare variants, including a putative RAB7A enhanceropathy.</p>
<p> Conclusion:<br />The NCRE atlas and BRAIN-MAGNET provide a functionally validated resource to interpret non-coding genetic variation relevant to neurodevelopment and neurological disease</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Deng R</p>
<p> DOI:<br />10.1016/j.cell.2025.10.029</p>
<p> Reference:<br />Deng R, Perenthaler E, Nikoncuk A, Yousefi S, Lanko K, Schot R, Maresca M, Medico-Salsench E, Sanderson LE, Parker MJ, van Ijcken WFJ, Park J, Sturm M, Haack TB, Roshchupkin GV, Mulugeta E, Barakat TS. BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants. Cell. 2026 Jan 22;189:1–20. https://doi.org/10.1016/j.cell.2025.10.029</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/brain-magnet-ncre-atlas</p>
<p>️ Episode:<br />213: Episode 213: BRAIN-MAGNET: a functional atlas for non-coding variants</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants</p>
<p> Journal:<br />Cell</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-29.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific content: NSC-ChIP-STARR-seq atlas, Brain-Magnet model with nucleotide-level contribution scores, ESC–NSC enhancer priming, motif and TE enrichments, motif deletions/validation, RAB7A enhanceropathy, GWAS/rare-disease variant prioritization, and limitations of episomal MPRA.<br />- transcript topics: NSC-ChIP-STARR-seq atlas of non-coding regulatory elements; Brain-Magnet CNN and nucleotide-level contribution scores; Primed enhancers and ESC-to-NSC differentiation; Motif and transposable element enrichment (YY1, TP53/p53, MER61, LTR10); Functional validation of high cb-score motifs (30 bp deletions, point mutations); RAB7A enhanceropathy and in vivo validation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ChIP-STARR-seq NSCs produced an atlas of...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Finding the missing DNA in the brain</li><li>(00:05:24) - Brain Magnet: The regulatory map of the brain</li><li>(00:07:40) - Brain Magnet: The functional atlas</li><li>(00:10:46) - Brain Magnet for SNPs and the neuropsychiatric disorders</li><li>(00:12:06) - Brain Magnet for rare neurogenetic disorders</li><li>(00:16:42) - Neuroscience: Hidden Codes in the Silent Frame</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Deng R et al. - BRAIN-MAGNET couples a ChIP-STARR-seq atlas of 148,198 neural regulatory elements with a validated convolutional neural network to predict enhancer activity and prioritize disease-relevant non-coding variants. Key terms: enhancers, neural stem cells, convolutional neural network, non-coding variants, functional genomics.
 Study Highlights:The authors generated an activity-ranked functional genomics atlas of 148,198 non-coding regulatory elements in human neural stem cells. Comparative ChIP-STARR-seq revealed many elements are epigenetically primed in embryonic stem cells for later neural activity. BRAIN-MAGNET, a convolutional neural network trained on the atlas, predicts enhancer activity from DNA sequence and computes nucleotide-level contribution scores to identify functional motifs. The model outperformed other prioritization scores at tested loci and enabled prioritization and functional validation of both common GWAS SNPs and rare variants, including a putative RAB7A enhanceropathy.
 Conclusion:The NCRE atlas and BRAIN-MAGNET provide a functionally validated resource to interpret non-coding genetic variation relevant to neurodevelopment and neurological disease
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Deng R
 DOI:10.1016/j.cell.2025.10.029
 Reference:Deng R, Perenthaler E, Nikoncuk A, Yousefi S, Lanko K, Schot R, Maresca M, Medico-Salsench E, Sanderson LE, Parker MJ, van Ijcken WFJ, Park J, Sturm M, Haack TB, Roshchupkin GV, Mulugeta E, Barakat TS. BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants. Cell. 2026 Jan 22;189:1–20. https://doi.org/10.1016/j.cell.2025.10.029
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/brain-magnet-ncre-atlas
️ Episode:213: Episode 213: BRAIN-MAGNET: a functional atlas for non-coding variants
️ Season:1
 Article title:BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants
 Journal:Cell
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-29.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific content: NSC-ChIP-STARR-seq atlas, Brain-Magnet model with nucleotide-level contribution scores, ESC–NSC enhancer priming, motif and TE enrichments, motif deletions/validation, RAB7A enhanceropathy, GWAS/rare-disease variant prioritization, and limitations of episomal MPRA.- transcript topics: NSC-ChIP-STARR-seq atlas of non-coding regulatory elements; Brain-Magnet CNN and nucleotide-level contribution scores; Primed enhancers and ESC-to-NSC differentiation; Motif and transposable element enrichment (YY1, TP53/p53, MER61, LTR10); Functional validation of high cb-score motifs (30 bp deletions, point mutations); RAB7A enhanceropathy and in vivo validation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- ChIP-STARR-seq NSCs produced an atlas of...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[213: BRAIN-MAGNET: Functional genomics atlas for non-coding variants]]>
                </itunes:title>
                                    <itunes:episode>213</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Deng R et al. - BRAIN-MAGNET couples a ChIP-STARR-seq atlas of 148,198 neural regulatory elements with a validated convolutional neural network to predict enhancer activity and prioritize disease-relevant non-coding variants. Key terms: enhancers, neural stem cells, convolutional neural network, non-coding variants, functional genomics.</p>
<p> Study Highlights:<br />The authors generated an activity-ranked functional genomics atlas of 148,198 non-coding regulatory elements in human neural stem cells. Comparative ChIP-STARR-seq revealed many elements are epigenetically primed in embryonic stem cells for later neural activity. BRAIN-MAGNET, a convolutional neural network trained on the atlas, predicts enhancer activity from DNA sequence and computes nucleotide-level contribution scores to identify functional motifs. The model outperformed other prioritization scores at tested loci and enabled prioritization and functional validation of both common GWAS SNPs and rare variants, including a putative RAB7A enhanceropathy.</p>
<p> Conclusion:<br />The NCRE atlas and BRAIN-MAGNET provide a functionally validated resource to interpret non-coding genetic variation relevant to neurodevelopment and neurological disease</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Deng R</p>
<p> DOI:<br />10.1016/j.cell.2025.10.029</p>
<p> Reference:<br />Deng R, Perenthaler E, Nikoncuk A, Yousefi S, Lanko K, Schot R, Maresca M, Medico-Salsench E, Sanderson LE, Parker MJ, van Ijcken WFJ, Park J, Sturm M, Haack TB, Roshchupkin GV, Mulugeta E, Barakat TS. BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants. Cell. 2026 Jan 22;189:1–20. https://doi.org/10.1016/j.cell.2025.10.029</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/brain-magnet-ncre-atlas</p>
<p>️ Episode:<br />213: Episode 213: BRAIN-MAGNET: a functional atlas for non-coding variants</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants</p>
<p> Journal:<br />Cell</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-29.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific content: NSC-ChIP-STARR-seq atlas, Brain-Magnet model with nucleotide-level contribution scores, ESC–NSC enhancer priming, motif and TE enrichments, motif deletions/validation, RAB7A enhanceropathy, GWAS/rare-disease variant prioritization, and limitations of episomal MPRA.<br />- transcript topics: NSC-ChIP-STARR-seq atlas of non-coding regulatory elements; Brain-Magnet CNN and nucleotide-level contribution scores; Primed enhancers and ESC-to-NSC differentiation; Motif and transposable element enrichment (YY1, TP53/p53, MER61, LTR10); Functional validation of high cb-score motifs (30 bp deletions, point mutations); RAB7A enhanceropathy and in vivo validation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ChIP-STARR-seq NSCs produced an atlas of ~148,000 NCREs with top-10% activity category.<br />- BRAIN-MAGNET predicts NCRE activity from DNA sequence and outputs per-nucleotide cb scores.<br />- Highly active NCREs link to higher target gene expression and LoF-intolerant (pLI) genes.<br />- NCREs show ESCs-primed enhancer status, with priming markers (H3K4me2/3) preceding NSC activation.<br />- High cb-score motifs (e.g., TP53/TP73/YY1) and TE enrichments (MER61, LTR10) observed in NSCs.<br />- Functional validation: deleting high-cb motifs in 16/17 NCREs reduces activity; low-cb regions show little/no effect.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Deng R et al. - BRAIN-MAGNET couples a ChIP-STARR-seq atlas of 148,198 neural regulatory elements with a validated convolutional neural network to predict enhancer activity and prioritize disease-relevant non-coding variants. Key terms: enhancers, neural stem cells, convolutional neural network, non-coding variants, functional genomics.
 Study Highlights:The authors generated an activity-ranked functional genomics atlas of 148,198 non-coding regulatory elements in human neural stem cells. Comparative ChIP-STARR-seq revealed many elements are epigenetically primed in embryonic stem cells for later neural activity. BRAIN-MAGNET, a convolutional neural network trained on the atlas, predicts enhancer activity from DNA sequence and computes nucleotide-level contribution scores to identify functional motifs. The model outperformed other prioritization scores at tested loci and enabled prioritization and functional validation of both common GWAS SNPs and rare variants, including a putative RAB7A enhanceropathy.
 Conclusion:The NCRE atlas and BRAIN-MAGNET provide a functionally validated resource to interpret non-coding genetic variation relevant to neurodevelopment and neurological disease
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Deng R
 DOI:10.1016/j.cell.2025.10.029
 Reference:Deng R, Perenthaler E, Nikoncuk A, Yousefi S, Lanko K, Schot R, Maresca M, Medico-Salsench E, Sanderson LE, Parker MJ, van Ijcken WFJ, Park J, Sturm M, Haack TB, Roshchupkin GV, Mulugeta E, Barakat TS. BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants. Cell. 2026 Jan 22;189:1–20. https://doi.org/10.1016/j.cell.2025.10.029
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/brain-magnet-ncre-atlas
️ Episode:213: Episode 213: BRAIN-MAGNET: a functional atlas for non-coding variants
️ Season:1
 Article title:BRAIN-MAGNET: A functional genomics atlas for interpretation of non-coding variants
 Journal:Cell
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-29.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific content: NSC-ChIP-STARR-seq atlas, Brain-Magnet model with nucleotide-level contribution scores, ESC–NSC enhancer priming, motif and TE enrichments, motif deletions/validation, RAB7A enhanceropathy, GWAS/rare-disease variant prioritization, and limitations of episomal MPRA.- transcript topics: NSC-ChIP-STARR-seq atlas of non-coding regulatory elements; Brain-Magnet CNN and nucleotide-level contribution scores; Primed enhancers and ESC-to-NSC differentiation; Motif and transposable element enrichment (YY1, TP53/p53, MER61, LTR10); Functional validation of high cb-score motifs (30 bp deletions, point mutations); RAB7A enhanceropathy and in vivo validation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- ChIP-STARR-seq NSCs produced an atlas of...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2253966/c1a-p6xp7-7z8kd16jtvr4-wbvr4e.png"></itunes:image>
                                                                            <itunes:duration>00:20:29</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2253966/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[212: Zonal control of mutant β-catenin tumorigenesis]]>
                </title>
                <pubDate>Fri, 28 Nov 2025 09:58:21 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2250945</guid>
                                    <link>https://basebybase.castos.com/episodes/hepatic-zonation-wnt-tumorigenesis</link>
                                <description>
                                            <![CDATA[<p>Raven A et al. - This study shows that hepatic zonation determines whether mutant β-catenin drives proliferation and liver cancer by forcing differentiation to a non-permissive zone 3 fate or, when reversed, enabling MAPK- and mTOR-dependent growth. Key terms: hepatic zonation, beta-catenin, MYC, mTOR, IGFBP2.</p>
<p> Study Highlights:<br />β-catenin exon 3 mutations cooperate with exogenous MYC to produce a proliferative translatome that supports tumour outgrowth. Differentiation to an extreme zone 3 GLUL+Lgr5+ hepatocyte fate suppresses the pro-growth translatome and is refractory to WNT/MYC-driven tumorigenesis. Early proliferative lesions that progress show reduced WNT activation, elevated MAPK signalling and engagement of an IGFBP2–mTOR–cyclin D1 axis, and inhibition of IGFBP2, mTOR or Yap/Taz impairs lesion formation and tumorigenesis. High-level WNT activation from Apc loss is less compatible with tumour formation, whereas MAPK activation (BrafV600E) antagonizes zone 3 differentiation to permit Lgr5+ hepatocyte transformation that can be suppressed by PORCN or BRAF inhibitors</p>
<p> Conclusion:<br />Hepatocyte zonal identity dictates susceptibility to WNT-driven HCC, and escape from WNT-induced zone 3 differentiation plus activation of MAPK/mTOR pro-growth pathways is required for tumour initiation</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Raven A</p>
<p> DOI:<br />10.1038/s41586-025-09733-1</p>
<p> Reference:<br />Raven A. et al. Hepatic zonation determines tumorigenic potential of mutant β-catenin. Nature. 2025. https://doi.org/10.1038/s41586-025-09733-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/hepatic-zonation-wnt-tumorigenesis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the main scientific narrative in the transcript: hepatic zonation, CTNNB1 mutations and MYC cooperation, zone 3 differentiation as tumor suppressor, the IGFBP2–mTOR–CCND1 axis, MAPK signaling and BRAF involvement, and pharmacological proof-of-concept (rapamycin, dabrafenib, LGK974).<br />- transcript topics: Hepatic zonation and WNT signaling; CTNNB1 exon 3 mutations and MYC cooperation; Zone 3 differentiation as tumor suppressor and zone 2 growth axis; IGFBP2–mTOR–CCND1 pro-growth axis; MAPK signaling and BRAF involvement in tumorigenesis; Ribosome profiling and translational control</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CTNNB1 exon 3 mutations cooperate with MYC to drive a proliferative translatome<br />- 81% of CTNNB1-mutated tumors exhibit MYC copy-number gain<br />- Zone 3 GLUL+ Lgr5+ hepatocytes are refractory to WNT- and MYC-driven tumorigenesis<br />- Early proliferative lesions show reduced WNT activation and elevated MAPK signaling<br />- IGFBP2–mTOR–CCND1 axis supports lesion growth; IGFBP2/mTOR inhibition reduces tumorigenesis<br />- Rapamycin reduces lesion number and extends survival in mouse m...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Base by Bass</li><li>(00:02:20) - Hepatic zonation 6, The liver paradox</li><li>(00:03:35) - How does wnt signaling cause cancer?</li><li>(00:06:28) - WNT mutations in the liver</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Raven A et al. - This study shows that hepatic zonation determines whether mutant β-catenin drives proliferation and liver cancer by forcing differentiation to a non-permissive zone 3 fate or, when reversed, enabling MAPK- and mTOR-dependent growth. Key terms: hepatic zonation, beta-catenin, MYC, mTOR, IGFBP2.
 Study Highlights:β-catenin exon 3 mutations cooperate with exogenous MYC to produce a proliferative translatome that supports tumour outgrowth. Differentiation to an extreme zone 3 GLUL+Lgr5+ hepatocyte fate suppresses the pro-growth translatome and is refractory to WNT/MYC-driven tumorigenesis. Early proliferative lesions that progress show reduced WNT activation, elevated MAPK signalling and engagement of an IGFBP2–mTOR–cyclin D1 axis, and inhibition of IGFBP2, mTOR or Yap/Taz impairs lesion formation and tumorigenesis. High-level WNT activation from Apc loss is less compatible with tumour formation, whereas MAPK activation (BrafV600E) antagonizes zone 3 differentiation to permit Lgr5+ hepatocyte transformation that can be suppressed by PORCN or BRAF inhibitors
 Conclusion:Hepatocyte zonal identity dictates susceptibility to WNT-driven HCC, and escape from WNT-induced zone 3 differentiation plus activation of MAPK/mTOR pro-growth pathways is required for tumour initiation
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Raven A
 DOI:10.1038/s41586-025-09733-1
 Reference:Raven A. et al. Hepatic zonation determines tumorigenic potential of mutant β-catenin. Nature. 2025. https://doi.org/10.1038/s41586-025-09733-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/hepatic-zonation-wnt-tumorigenesis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the main scientific narrative in the transcript: hepatic zonation, CTNNB1 mutations and MYC cooperation, zone 3 differentiation as tumor suppressor, the IGFBP2–mTOR–CCND1 axis, MAPK signaling and BRAF involvement, and pharmacological proof-of-concept (rapamycin, dabrafenib, LGK974).- transcript topics: Hepatic zonation and WNT signaling; CTNNB1 exon 3 mutations and MYC cooperation; Zone 3 differentiation as tumor suppressor and zone 2 growth axis; IGFBP2–mTOR–CCND1 pro-growth axis; MAPK signaling and BRAF involvement in tumorigenesis; Ribosome profiling and translational control
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CTNNB1 exon 3 mutations cooperate with MYC to drive a proliferative translatome- 81% of CTNNB1-mutated tumors exhibit MYC copy-number gain- Zone 3 GLUL+ Lgr5+ hepatocytes are refractory to WNT- and MYC-driven tumorigenesis- Early proliferative lesions show reduced WNT activation and elevated MAPK signaling- IGFBP2–mTOR–CCND1 axis supports lesion growth; IGFBP2/mTOR inhibition reduces tumorigenesis- Rapamycin reduces lesion number and extends survival in mouse m...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[212: Zonal control of mutant β-catenin tumorigenesis]]>
                </itunes:title>
                                    <itunes:episode>212</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Raven A et al. - This study shows that hepatic zonation determines whether mutant β-catenin drives proliferation and liver cancer by forcing differentiation to a non-permissive zone 3 fate or, when reversed, enabling MAPK- and mTOR-dependent growth. Key terms: hepatic zonation, beta-catenin, MYC, mTOR, IGFBP2.</p>
<p> Study Highlights:<br />β-catenin exon 3 mutations cooperate with exogenous MYC to produce a proliferative translatome that supports tumour outgrowth. Differentiation to an extreme zone 3 GLUL+Lgr5+ hepatocyte fate suppresses the pro-growth translatome and is refractory to WNT/MYC-driven tumorigenesis. Early proliferative lesions that progress show reduced WNT activation, elevated MAPK signalling and engagement of an IGFBP2–mTOR–cyclin D1 axis, and inhibition of IGFBP2, mTOR or Yap/Taz impairs lesion formation and tumorigenesis. High-level WNT activation from Apc loss is less compatible with tumour formation, whereas MAPK activation (BrafV600E) antagonizes zone 3 differentiation to permit Lgr5+ hepatocyte transformation that can be suppressed by PORCN or BRAF inhibitors</p>
<p> Conclusion:<br />Hepatocyte zonal identity dictates susceptibility to WNT-driven HCC, and escape from WNT-induced zone 3 differentiation plus activation of MAPK/mTOR pro-growth pathways is required for tumour initiation</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Raven A</p>
<p> DOI:<br />10.1038/s41586-025-09733-1</p>
<p> Reference:<br />Raven A. et al. Hepatic zonation determines tumorigenic potential of mutant β-catenin. Nature. 2025. https://doi.org/10.1038/s41586-025-09733-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/hepatic-zonation-wnt-tumorigenesis</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the main scientific narrative in the transcript: hepatic zonation, CTNNB1 mutations and MYC cooperation, zone 3 differentiation as tumor suppressor, the IGFBP2–mTOR–CCND1 axis, MAPK signaling and BRAF involvement, and pharmacological proof-of-concept (rapamycin, dabrafenib, LGK974).<br />- transcript topics: Hepatic zonation and WNT signaling; CTNNB1 exon 3 mutations and MYC cooperation; Zone 3 differentiation as tumor suppressor and zone 2 growth axis; IGFBP2–mTOR–CCND1 pro-growth axis; MAPK signaling and BRAF involvement in tumorigenesis; Ribosome profiling and translational control</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CTNNB1 exon 3 mutations cooperate with MYC to drive a proliferative translatome<br />- 81% of CTNNB1-mutated tumors exhibit MYC copy-number gain<br />- Zone 3 GLUL+ Lgr5+ hepatocytes are refractory to WNT- and MYC-driven tumorigenesis<br />- Early proliferative lesions show reduced WNT activation and elevated MAPK signaling<br />- IGFBP2–mTOR–CCND1 axis supports lesion growth; IGFBP2/mTOR inhibition reduces tumorigenesis<br />- Rapamycin reduces lesion number and extends survival in mouse models; dabrafenib inhibits BRafV600E-driven tumor growth</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Raven A et al. - This study shows that hepatic zonation determines whether mutant β-catenin drives proliferation and liver cancer by forcing differentiation to a non-permissive zone 3 fate or, when reversed, enabling MAPK- and mTOR-dependent growth. Key terms: hepatic zonation, beta-catenin, MYC, mTOR, IGFBP2.
 Study Highlights:β-catenin exon 3 mutations cooperate with exogenous MYC to produce a proliferative translatome that supports tumour outgrowth. Differentiation to an extreme zone 3 GLUL+Lgr5+ hepatocyte fate suppresses the pro-growth translatome and is refractory to WNT/MYC-driven tumorigenesis. Early proliferative lesions that progress show reduced WNT activation, elevated MAPK signalling and engagement of an IGFBP2–mTOR–cyclin D1 axis, and inhibition of IGFBP2, mTOR or Yap/Taz impairs lesion formation and tumorigenesis. High-level WNT activation from Apc loss is less compatible with tumour formation, whereas MAPK activation (BrafV600E) antagonizes zone 3 differentiation to permit Lgr5+ hepatocyte transformation that can be suppressed by PORCN or BRAF inhibitors
 Conclusion:Hepatocyte zonal identity dictates susceptibility to WNT-driven HCC, and escape from WNT-induced zone 3 differentiation plus activation of MAPK/mTOR pro-growth pathways is required for tumour initiation
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Raven A
 DOI:10.1038/s41586-025-09733-1
 Reference:Raven A. et al. Hepatic zonation determines tumorigenic potential of mutant β-catenin. Nature. 2025. https://doi.org/10.1038/s41586-025-09733-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/hepatic-zonation-wnt-tumorigenesis
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the main scientific narrative in the transcript: hepatic zonation, CTNNB1 mutations and MYC cooperation, zone 3 differentiation as tumor suppressor, the IGFBP2–mTOR–CCND1 axis, MAPK signaling and BRAF involvement, and pharmacological proof-of-concept (rapamycin, dabrafenib, LGK974).- transcript topics: Hepatic zonation and WNT signaling; CTNNB1 exon 3 mutations and MYC cooperation; Zone 3 differentiation as tumor suppressor and zone 2 growth axis; IGFBP2–mTOR–CCND1 pro-growth axis; MAPK signaling and BRAF involvement in tumorigenesis; Ribosome profiling and translational control
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CTNNB1 exon 3 mutations cooperate with MYC to drive a proliferative translatome- 81% of CTNNB1-mutated tumors exhibit MYC copy-number gain- Zone 3 GLUL+ Lgr5+ hepatocytes are refractory to WNT- and MYC-driven tumorigenesis- Early proliferative lesions show reduced WNT activation and elevated MAPK signaling- IGFBP2–mTOR–CCND1 axis supports lesion growth; IGFBP2/mTOR inhibition reduces tumorigenesis- Rapamycin reduces lesion number and extends survival in mouse m...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2250945/c1a-p6xp7-mk91dvzgbm0m-akvdfo.png"></itunes:image>
                                                                            <itunes:duration>00:16:47</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[211: Retention Elements in Cancer Cells]]>
                </title>
                <pubDate>Thu, 27 Nov 2025 10:24:31 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2248067</guid>
                                    <link>https://basebybase.castos.com/episodes/retention-elements-cancer</link>
                                <description>
                                            <![CDATA[<p>Sankar et al. - This episode explores the discovery of genetic elements that promote the retention of extrachromosomal DNA (ecDNA) in cancer cells, enhancing their survival and evolution. Key terms: ecDNA, retention elements, cancer cells, genomic elements, oncogenes.</p>
<p> Study Highlights:<br />Researchers identified a family of genomic elements known as retention elements that tether ecDNA to mitotic chromosomes, facilitating its transmission to daughter cells during division. The study utilized a novel genome-scale assay called Retain-seq, revealing thousands of retention elements that enhance the persistence of ecDNA. These elements are primarily located at gene promoters and are characterized by high CpG density, which is crucial for their function. The findings suggest that retention elements play a significant role in the maintenance of oncogenic ecDNA across generations of cancer cells.</p>
<p> Conclusion:<br />Understanding the mechanisms of ecDNA retention may provide insights into cancer evolution and potential therapeutic targets.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Sankar</p>
<p> DOI:<br />10.1038/s41586-025-09764-8</p>
<p> Reference:<br />Sankar, V., Hung, K. L., Gnanasekar, A., Wong, I. T.-L., Shi, Q., Kraft, K., Jones, M. G., He, B. J., Yan, X., Belk, J. A., Liu, K. J., Agarwal, S., Wang, S. K., Henssen, A. G., Mischel, P. S., &amp; Chang, H. Y. (2025). Genetic elements promote retention of extrachromosomal DNA in cancer cells. Nature. https://doi.org/10.1038/s41586-025-09764-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/retention-elements-cancer</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing Retain-seq, identification and features of retention elements, tethering mechanism to mitotic chromosomes via bookmarking, promoter/enhancer-like interactions, epigenetic regulation (CpG methylation and CRISPRoff), and tumor-data implications; cross-checked these against the a<br />- transcript topics: ecDNA and mitotic inheritance; Retain-seq methodology and discovery of retention elements; Sequence features of retention elements (CpG-rich promoters, active chromatin); Retention element tethering to mitotic chromosomes via mitotic bookmarking; Promoter–enhancer-like interactions recapitulated in trans; Additive effect of multiple retention elements on retention</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Retention elements are a family of human genomic elements that tether episomes to mitotic chromosomes to promote ecDNA transmission<br />- Retain-seq identifies thousands of retention elements across the genome<br />- Retention elements are CpG-rich promoters and active regulatory regions associated with active chromatin<br />- Retention elements tether to chromosomes at mitotically bookmarked regions, recapitulating promoter–enhancer interactions a...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - How does rogue DNA stay in cancer cells?</li><li>(00:02:36) - Cancer DNA: The retention mechanism</li><li>(00:07:29) - Cancer epigenetic retention elements</li><li>(00:12:47) - Circles that refuse to fall: the cancer drug strategy</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sankar et al. - This episode explores the discovery of genetic elements that promote the retention of extrachromosomal DNA (ecDNA) in cancer cells, enhancing their survival and evolution. Key terms: ecDNA, retention elements, cancer cells, genomic elements, oncogenes.
 Study Highlights:Researchers identified a family of genomic elements known as retention elements that tether ecDNA to mitotic chromosomes, facilitating its transmission to daughter cells during division. The study utilized a novel genome-scale assay called Retain-seq, revealing thousands of retention elements that enhance the persistence of ecDNA. These elements are primarily located at gene promoters and are characterized by high CpG density, which is crucial for their function. The findings suggest that retention elements play a significant role in the maintenance of oncogenic ecDNA across generations of cancer cells.
 Conclusion:Understanding the mechanisms of ecDNA retention may provide insights into cancer evolution and potential therapeutic targets.
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Sankar
 DOI:10.1038/s41586-025-09764-8
 Reference:Sankar, V., Hung, K. L., Gnanasekar, A., Wong, I. T.-L., Shi, Q., Kraft, K., Jones, M. G., He, B. J., Yan, X., Belk, J. A., Liu, K. J., Agarwal, S., Wang, S. K., Henssen, A. G., Mischel, P. S., & Chang, H. Y. (2025). Genetic elements promote retention of extrachromosomal DNA in cancer cells. Nature. https://doi.org/10.1038/s41586-025-09764-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/retention-elements-cancer
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing Retain-seq, identification and features of retention elements, tethering mechanism to mitotic chromosomes via bookmarking, promoter/enhancer-like interactions, epigenetic regulation (CpG methylation and CRISPRoff), and tumor-data implications; cross-checked these against the a- transcript topics: ecDNA and mitotic inheritance; Retain-seq methodology and discovery of retention elements; Sequence features of retention elements (CpG-rich promoters, active chromatin); Retention element tethering to mitotic chromosomes via mitotic bookmarking; Promoter–enhancer-like interactions recapitulated in trans; Additive effect of multiple retention elements on retention
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Retention elements are a family of human genomic elements that tether episomes to mitotic chromosomes to promote ecDNA transmission- Retain-seq identifies thousands of retention elements across the genome- Retention elements are CpG-rich promoters and active regulatory regions associated with active chromatin- Retention elements tether to chromosomes at mitotically bookmarked regions, recapitulating promoter–enhancer interactions a...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[211: Retention Elements in Cancer Cells]]>
                </itunes:title>
                                    <itunes:episode>211</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sankar et al. - This episode explores the discovery of genetic elements that promote the retention of extrachromosomal DNA (ecDNA) in cancer cells, enhancing their survival and evolution. Key terms: ecDNA, retention elements, cancer cells, genomic elements, oncogenes.</p>
<p> Study Highlights:<br />Researchers identified a family of genomic elements known as retention elements that tether ecDNA to mitotic chromosomes, facilitating its transmission to daughter cells during division. The study utilized a novel genome-scale assay called Retain-seq, revealing thousands of retention elements that enhance the persistence of ecDNA. These elements are primarily located at gene promoters and are characterized by high CpG density, which is crucial for their function. The findings suggest that retention elements play a significant role in the maintenance of oncogenic ecDNA across generations of cancer cells.</p>
<p> Conclusion:<br />Understanding the mechanisms of ecDNA retention may provide insights into cancer evolution and potential therapeutic targets.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> First author:<br />Sankar</p>
<p> DOI:<br />10.1038/s41586-025-09764-8</p>
<p> Reference:<br />Sankar, V., Hung, K. L., Gnanasekar, A., Wong, I. T.-L., Shi, Q., Kraft, K., Jones, M. G., He, B. J., Yan, X., Belk, J. A., Liu, K. J., Agarwal, S., Wang, S. K., Henssen, A. G., Mischel, P. S., &amp; Chang, H. Y. (2025). Genetic elements promote retention of extrachromosomal DNA in cancer cells. Nature. https://doi.org/10.1038/s41586-025-09764-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/retention-elements-cancer</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing Retain-seq, identification and features of retention elements, tethering mechanism to mitotic chromosomes via bookmarking, promoter/enhancer-like interactions, epigenetic regulation (CpG methylation and CRISPRoff), and tumor-data implications; cross-checked these against the a<br />- transcript topics: ecDNA and mitotic inheritance; Retain-seq methodology and discovery of retention elements; Sequence features of retention elements (CpG-rich promoters, active chromatin); Retention element tethering to mitotic chromosomes via mitotic bookmarking; Promoter–enhancer-like interactions recapitulated in trans; Additive effect of multiple retention elements on retention</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Retention elements are a family of human genomic elements that tether episomes to mitotic chromosomes to promote ecDNA transmission<br />- Retain-seq identifies thousands of retention elements across the genome<br />- Retention elements are CpG-rich promoters and active regulatory regions associated with active chromatin<br />- Retention elements tether to chromosomes at mitotically bookmarked regions, recapitulating promoter–enhancer interactions across ecDNA and chromosomes<br />- Retention elements show additive effects: more elements increase episomal retention<br />- Retention elements are hypomethylated; targeted methylation abrogates retention and reduces ecDNA maintenance</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Sankar et al. - This episode explores the discovery of genetic elements that promote the retention of extrachromosomal DNA (ecDNA) in cancer cells, enhancing their survival and evolution. Key terms: ecDNA, retention elements, cancer cells, genomic elements, oncogenes.
 Study Highlights:Researchers identified a family of genomic elements known as retention elements that tether ecDNA to mitotic chromosomes, facilitating its transmission to daughter cells during division. The study utilized a novel genome-scale assay called Retain-seq, revealing thousands of retention elements that enhance the persistence of ecDNA. These elements are primarily located at gene promoters and are characterized by high CpG density, which is crucial for their function. The findings suggest that retention elements play a significant role in the maintenance of oncogenic ecDNA across generations of cancer cells.
 Conclusion:Understanding the mechanisms of ecDNA retention may provide insights into cancer evolution and potential therapeutic targets.
 Music:Enjoy the music based on this article at the end of the episode.
 First author:Sankar
 DOI:10.1038/s41586-025-09764-8
 Reference:Sankar, V., Hung, K. L., Gnanasekar, A., Wong, I. T.-L., Shi, Q., Kraft, K., Jones, M. G., He, B. J., Yan, X., Belk, J. A., Liu, K. J., Agarwal, S., Wang, S. K., Henssen, A. G., Mischel, P. S., & Chang, H. Y. (2025). Genetic elements promote retention of extrachromosomal DNA in cancer cells. Nature. https://doi.org/10.1038/s41586-025-09764-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/retention-elements-cancer
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing Retain-seq, identification and features of retention elements, tethering mechanism to mitotic chromosomes via bookmarking, promoter/enhancer-like interactions, epigenetic regulation (CpG methylation and CRISPRoff), and tumor-data implications; cross-checked these against the a- transcript topics: ecDNA and mitotic inheritance; Retain-seq methodology and discovery of retention elements; Sequence features of retention elements (CpG-rich promoters, active chromatin); Retention element tethering to mitotic chromosomes via mitotic bookmarking; Promoter–enhancer-like interactions recapitulated in trans; Additive effect of multiple retention elements on retention
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Retention elements are a family of human genomic elements that tether episomes to mitotic chromosomes to promote ecDNA transmission- Retain-seq identifies thousands of retention elements across the genome- Retention elements are CpG-rich promoters and active regulatory regions associated with active chromatin- Retention elements tether to chromosomes at mitotically bookmarked regions, recapitulating promoter–enhancer interactions a...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:19:30</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                <title>
                    <![CDATA[210: Tumour-Reactive CD8 T Cell Clusters in Human Melanoma]]>
                </title>
                <pubDate>Wed, 26 Nov 2025 10:03:48 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
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                                    <link>https://basebybase.castos.com/episodes/tumour-reactive-cd8-t-cell-clusters-in-human-melanoma</link>
                                <description>
                                            <![CDATA[<p>Tumour-Reactive CD8 T Cell Clusters in Human Melanoma</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09754-w</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/tumour-reactive-cd8-t-cell-clusters-in-human-melanoma</p>
<p>️ Episode:<br />210: Tumour-Reactive CD8 T Cell Clusters in Human Melanoma</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Tumour-reactive heterotypic CD8 T cell clusters from clinical samples</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-26.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing cluster discovery in clinical samples, synapse evidence, antigen-specific competition, ex vivo cytotoxicity and cytokine production, in vivo ACT/PDX results, and the role of TCF7+ stem-like exhausted T cells.<br />- transcript topics: Immunological synapse and proximity requirements for anti-tumor activity; Preservation of cellular clusters during tissue digestion and processing; Antigen-specific T cell competitiveness and cluster formation; Heterotypic CD8+ T cell clusters in clinical melanoma samples (21 patients); Single-cell RNA and TCR analyses of cluster T cells; Ex vivo cytotoxicity and cytokine production by cluster-derived T cells</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 21 human melanoma metastases analyzed; heterotypic CD8+ T cell clusters with tumor cells and/or APCs observed in all samples<br />- Clusters enriched for tumour reactivity and exhaustion signatures with increased TCR clonality<br />- Antigen-specific MART-1 T cells outcompete non-specific T cells for cluster formation; up to 11-fold enrichment at 1% input<br />- Ex vivo killing by cluster-derived T cells is ~9-fold higher than singlets; increased IFN-γ and TNF production<br />- In vivo ACT/PDX models show tumor control and increased T cell infiltration/activation with cluster-derived T cells<br />- Clustered CD8+ T cells show a TCF7+ stem-like exhausted state, suggesting persistence and durability</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - The Paradox of the Immune System</li><li>(00:02:31) - Immunity clusters in melanoma</li><li>(00:08:13) - Immunity 4, Cluster-derived T cells</li><li>(00:11:45) - Cluster Analysis for T-cell protection</li><li>(00:14:52) - Crowded Storms</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Tumour-Reactive CD8 T Cell Clusters in Human Melanoma
 Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09754-w
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/tumour-reactive-cd8-t-cell-clusters-in-human-melanoma
️ Episode:210: Tumour-Reactive CD8 T Cell Clusters in Human Melanoma
️ Season:1
 Article title:Tumour-reactive heterotypic CD8 T cell clusters from clinical samples
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-26.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing cluster discovery in clinical samples, synapse evidence, antigen-specific competition, ex vivo cytotoxicity and cytokine production, in vivo ACT/PDX results, and the role of TCF7+ stem-like exhausted T cells.- transcript topics: Immunological synapse and proximity requirements for anti-tumor activity; Preservation of cellular clusters during tissue digestion and processing; Antigen-specific T cell competitiveness and cluster formation; Heterotypic CD8+ T cell clusters in clinical melanoma samples (21 patients); Single-cell RNA and TCR analyses of cluster T cells; Ex vivo cytotoxicity and cytokine production by cluster-derived T cells
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 21 human melanoma metastases analyzed; heterotypic CD8+ T cell clusters with tumor cells and/or APCs observed in all samples- Clusters enriched for tumour reactivity and exhaustion signatures with increased TCR clonality- Antigen-specific MART-1 T cells outcompete non-specific T cells for cluster formation; up to 11-fold enrichment at 1% input- Ex vivo killing by cluster-derived T cells is ~9-fold higher than singlets; increased IFN-γ and TNF production- In vivo ACT/PDX models show tumor control and increased T cell infiltration/activation with cluster-derived T cells- Clustered CD8+ T cells show a TCF7+ stem-like exhausted state, suggesting persistence and durability
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[210: Tumour-Reactive CD8 T Cell Clusters in Human Melanoma]]>
                </itunes:title>
                                    <itunes:episode>210</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Tumour-Reactive CD8 T Cell Clusters in Human Melanoma</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09754-w</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/tumour-reactive-cd8-t-cell-clusters-in-human-melanoma</p>
<p>️ Episode:<br />210: Tumour-Reactive CD8 T Cell Clusters in Human Melanoma</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Tumour-reactive heterotypic CD8 T cell clusters from clinical samples</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-26.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing cluster discovery in clinical samples, synapse evidence, antigen-specific competition, ex vivo cytotoxicity and cytokine production, in vivo ACT/PDX results, and the role of TCF7+ stem-like exhausted T cells.<br />- transcript topics: Immunological synapse and proximity requirements for anti-tumor activity; Preservation of cellular clusters during tissue digestion and processing; Antigen-specific T cell competitiveness and cluster formation; Heterotypic CD8+ T cell clusters in clinical melanoma samples (21 patients); Single-cell RNA and TCR analyses of cluster T cells; Ex vivo cytotoxicity and cytokine production by cluster-derived T cells</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 21 human melanoma metastases analyzed; heterotypic CD8+ T cell clusters with tumor cells and/or APCs observed in all samples<br />- Clusters enriched for tumour reactivity and exhaustion signatures with increased TCR clonality<br />- Antigen-specific MART-1 T cells outcompete non-specific T cells for cluster formation; up to 11-fold enrichment at 1% input<br />- Ex vivo killing by cluster-derived T cells is ~9-fold higher than singlets; increased IFN-γ and TNF production<br />- In vivo ACT/PDX models show tumor control and increased T cell infiltration/activation with cluster-derived T cells<br />- Clustered CD8+ T cells show a TCF7+ stem-like exhausted state, suggesting persistence and durability</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Tumour-Reactive CD8 T Cell Clusters in Human Melanoma
 Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09754-w
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/tumour-reactive-cd8-t-cell-clusters-in-human-melanoma
️ Episode:210: Tumour-Reactive CD8 T Cell Clusters in Human Melanoma
️ Season:1
 Article title:Tumour-reactive heterotypic CD8 T cell clusters from clinical samples
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-26.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing cluster discovery in clinical samples, synapse evidence, antigen-specific competition, ex vivo cytotoxicity and cytokine production, in vivo ACT/PDX results, and the role of TCF7+ stem-like exhausted T cells.- transcript topics: Immunological synapse and proximity requirements for anti-tumor activity; Preservation of cellular clusters during tissue digestion and processing; Antigen-specific T cell competitiveness and cluster formation; Heterotypic CD8+ T cell clusters in clinical melanoma samples (21 patients); Single-cell RNA and TCR analyses of cluster T cells; Ex vivo cytotoxicity and cytokine production by cluster-derived T cells
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 21 human melanoma metastases analyzed; heterotypic CD8+ T cell clusters with tumor cells and/or APCs observed in all samples- Clusters enriched for tumour reactivity and exhaustion signatures with increased TCR clonality- Antigen-specific MART-1 T cells outcompete non-specific T cells for cluster formation; up to 11-fold enrichment at 1% input- Ex vivo killing by cluster-derived T cells is ~9-fold higher than singlets; increased IFN-γ and TNF production- In vivo ACT/PDX models show tumor control and increased T cell infiltration/activation with cluster-derived T cells- Clustered CD8+ T cells show a TCF7+ stem-like exhausted state, suggesting persistence and durability
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2245536/c1a-p6xp7-6z8w2g2vinz-sq1ndm.png"></itunes:image>
                                                                            <itunes:duration>00:18:45</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2245536/chapter-data.json"
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                            </item>
                    <item>
                <title>
                    <![CDATA[209: PERT: Prime Editing tRNAs for Nonsense Mutations]]>
                </title>
                <pubDate>Tue, 25 Nov 2025 15:07:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2244035</guid>
                                    <link>https://basebybase.castos.com/episodes/pert-prime-editing-trnas-for-nonsense-mutations</link>
                                <description>
                                            <![CDATA[<p>PERT: Prime Editing tRNAs for Nonsense Mutations</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09732-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pert-prime-editing-trnas-for-nonsense-mutations</p>
<p>️ Episode:<br />209: PERT: Prime Editing tRNAs for Nonsense Mutations</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Prime editing-installed suppressor tRNAs for disease-agnostic genome editing</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the core scientific narrative: disease-burden framing, PERT mechanism, sup-tRNA optimization, endogenous-locus installation, cell-model rescues (Batten/Tay-Sachs/NPC1), Hurler in vivo outcomes, ClinVar readthrough scope, safety/off-target analyses, and delivery considerations.<br />- transcript topics: Disease burden and need for disease-agnostic therapy; PERT concept: suppressor tRNA readthrough; sup-tRNA optimization: leader, body, terminator; saturation mutagenesis; Single-locus endogenous tRNA installation via prime editing; In vitro rescue in Batten (TPP1), Tay-Sachs (HEXA), NPC1 models; ClinVar PTC readthrough across 14,746 cases</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- One-step endogenous installation of optimized sup-tRNA at a single genomic locus via PE (PERT).<br />- In human cell models, 20–70% restoration of normal enzyme activity for Batten (TPP1), Tay–Sachs (HEXA), and Niemann–Pick (NPC1).<br />- Hurler syndrome mouse model showed ≈6% IDUA enzyme activity restoration and near-complete rescue of pathology.<br />- Broad readthrough across ClinVar PTCs: 69% ± 30% readthrough score across 14,746 pathogenic PTCs.<br />- Off-target editing not observed above background in genome-wide analyses; no significant off-target events detected.<br />- No detectable readthrough of natural stop codons (NTCs) or major transcriptome/proteome perturbations.</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Genetic precision medicine: The single treatment for thousands of diseases</li><li>(00:04:27) - Percetic Prime Editing</li><li>(00:09:54) - PERT for CF-19</li><li>(00:12:45) - One Code for Many Stars</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[PERT: Prime Editing tRNAs for Nonsense Mutations
 Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09732-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pert-prime-editing-trnas-for-nonsense-mutations
️ Episode:209: PERT: Prime Editing tRNAs for Nonsense Mutations
️ Season:1
 Article title:Prime editing-installed suppressor tRNAs for disease-agnostic genome editing
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the core scientific narrative: disease-burden framing, PERT mechanism, sup-tRNA optimization, endogenous-locus installation, cell-model rescues (Batten/Tay-Sachs/NPC1), Hurler in vivo outcomes, ClinVar readthrough scope, safety/off-target analyses, and delivery considerations.- transcript topics: Disease burden and need for disease-agnostic therapy; PERT concept: suppressor tRNA readthrough; sup-tRNA optimization: leader, body, terminator; saturation mutagenesis; Single-locus endogenous tRNA installation via prime editing; In vitro rescue in Batten (TPP1), Tay-Sachs (HEXA), NPC1 models; ClinVar PTC readthrough across 14,746 cases
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- One-step endogenous installation of optimized sup-tRNA at a single genomic locus via PE (PERT).- In human cell models, 20–70% restoration of normal enzyme activity for Batten (TPP1), Tay–Sachs (HEXA), and Niemann–Pick (NPC1).- Hurler syndrome mouse model showed ≈6% IDUA enzyme activity restoration and near-complete rescue of pathology.- Broad readthrough across ClinVar PTCs: 69% ± 30% readthrough score across 14,746 pathogenic PTCs.- Off-target editing not observed above background in genome-wide analyses; no significant off-target events detected.- No detectable readthrough of natural stop codons (NTCs) or major transcriptome/proteome perturbations.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[209: PERT: Prime Editing tRNAs for Nonsense Mutations]]>
                </itunes:title>
                                    <itunes:episode>209</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>PERT: Prime Editing tRNAs for Nonsense Mutations</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09732-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pert-prime-editing-trnas-for-nonsense-mutations</p>
<p>️ Episode:<br />209: PERT: Prime Editing tRNAs for Nonsense Mutations</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Prime editing-installed suppressor tRNAs for disease-agnostic genome editing</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the core scientific narrative: disease-burden framing, PERT mechanism, sup-tRNA optimization, endogenous-locus installation, cell-model rescues (Batten/Tay-Sachs/NPC1), Hurler in vivo outcomes, ClinVar readthrough scope, safety/off-target analyses, and delivery considerations.<br />- transcript topics: Disease burden and need for disease-agnostic therapy; PERT concept: suppressor tRNA readthrough; sup-tRNA optimization: leader, body, terminator; saturation mutagenesis; Single-locus endogenous tRNA installation via prime editing; In vitro rescue in Batten (TPP1), Tay-Sachs (HEXA), NPC1 models; ClinVar PTC readthrough across 14,746 cases</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- One-step endogenous installation of optimized sup-tRNA at a single genomic locus via PE (PERT).<br />- In human cell models, 20–70% restoration of normal enzyme activity for Batten (TPP1), Tay–Sachs (HEXA), and Niemann–Pick (NPC1).<br />- Hurler syndrome mouse model showed ≈6% IDUA enzyme activity restoration and near-complete rescue of pathology.<br />- Broad readthrough across ClinVar PTCs: 69% ± 30% readthrough score across 14,746 pathogenic PTCs.<br />- Off-target editing not observed above background in genome-wide analyses; no significant off-target events detected.<br />- No detectable readthrough of natural stop codons (NTCs) or major transcriptome/proteome perturbations.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[PERT: Prime Editing tRNAs for Nonsense Mutations
 Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09732-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pert-prime-editing-trnas-for-nonsense-mutations
️ Episode:209: PERT: Prime Editing tRNAs for Nonsense Mutations
️ Season:1
 Article title:Prime editing-installed suppressor tRNAs for disease-agnostic genome editing
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the core scientific narrative: disease-burden framing, PERT mechanism, sup-tRNA optimization, endogenous-locus installation, cell-model rescues (Batten/Tay-Sachs/NPC1), Hurler in vivo outcomes, ClinVar readthrough scope, safety/off-target analyses, and delivery considerations.- transcript topics: Disease burden and need for disease-agnostic therapy; PERT concept: suppressor tRNA readthrough; sup-tRNA optimization: leader, body, terminator; saturation mutagenesis; Single-locus endogenous tRNA installation via prime editing; In vitro rescue in Batten (TPP1), Tay-Sachs (HEXA), NPC1 models; ClinVar PTC readthrough across 14,746 cases
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- One-step endogenous installation of optimized sup-tRNA at a single genomic locus via PE (PERT).- In human cell models, 20–70% restoration of normal enzyme activity for Batten (TPP1), Tay–Sachs (HEXA), and Niemann–Pick (NPC1).- Hurler syndrome mouse model showed ≈6% IDUA enzyme activity restoration and near-complete rescue of pathology.- Broad readthrough across ClinVar PTCs: 69% ± 30% readthrough score across 14,746 pathogenic PTCs.- Off-target editing not observed above background in genome-wide analyses; no significant off-target events detected.- No detectable readthrough of natural stop codons (NTCs) or major transcriptome/proteome perturbations.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2244035/c1a-p6xp7-qdp49k96ip9q-xycc5w.png"></itunes:image>
                                                                            <itunes:duration>00:16:54</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2244035/chapter-data.json"
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                            </item>
                    <item>
                <title>
                    <![CDATA[208: ZAK, Collided Ribosomes, and the Stress Switch]]>
                </title>
                <pubDate>Mon, 24 Nov 2025 09:34:28 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2240680</guid>
                                    <link>https://basebybase.castos.com/episodes/zak-collided-ribosomes-and-the-stress-switch</link>
                                <description>
                                            <![CDATA[<p>ZAK, Collided Ribosomes, and the Stress Switch</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09772-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/zak-collided-ribosomes-and-the-stress-switch</p>
<p>️ Episode:<br />208: ZAK, Collided Ribosomes, and the Stress Switch</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />ZAK activation at the collided ribosome</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s portrayal of ZAK-RACK1 collision sensing, constitutive ribosome binding, anchor motifs (pin, ES7-patch, RIH), collision-sensing motif RIM, SAM-domain dimerization, SERBP1 competition, CLIP-seq findings, and downstream MAPK signaling.<br />- transcript topics: ZAK activation and constitutive ribosome binding; ZAK–RACK1 collision interface: pin, RIH, ES7/ES6 interactions; RACK1-based collision sensing via RIM FPxL motif; SAM-domain dimerization as activation switch; SERBP1 competition at RACK1 FPxL motif; CLIP-seq mapping to ES7 and ES6b/c on 18S rRNA</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ZAK activation is triggered by ribosome collisions via SAM-domain dimerization on the collision interface<br />- RACK1 acts as collision scaffold bridging ZAK to both collided ribosomes<br />- RIM FPxL motif is strictly required for ZAK activation on collided ribosomes (not binding)<br />- RIH motif anchors ZAK to RACK1 and is necessary for binding and activation<br />- SERBP1 negatively regulates ZAK by competing for the RACK1 FPxL binding site<br />- eS27 pin anchors ZAK to the 40S subunit via W768 and supports ribosome binding; ES7-patch also contributes</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - The cell's ribotoxic stress response</li><li>(00:05:10) - The Rack 1 Collapse Sensor</li><li>(00:09:55) - How does the ZK SAM domains dimerize to trigger cell</li><li>(00:12:16) - When We Collide</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[ZAK, Collided Ribosomes, and the Stress Switch
 Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09772-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/zak-collided-ribosomes-and-the-stress-switch
️ Episode:208: ZAK, Collided Ribosomes, and the Stress Switch
️ Season:1
 Article title:ZAK activation at the collided ribosome
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s portrayal of ZAK-RACK1 collision sensing, constitutive ribosome binding, anchor motifs (pin, ES7-patch, RIH), collision-sensing motif RIM, SAM-domain dimerization, SERBP1 competition, CLIP-seq findings, and downstream MAPK signaling.- transcript topics: ZAK activation and constitutive ribosome binding; ZAK–RACK1 collision interface: pin, RIH, ES7/ES6 interactions; RACK1-based collision sensing via RIM FPxL motif; SAM-domain dimerization as activation switch; SERBP1 competition at RACK1 FPxL motif; CLIP-seq mapping to ES7 and ES6b/c on 18S rRNA
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- ZAK activation is triggered by ribosome collisions via SAM-domain dimerization on the collision interface- RACK1 acts as collision scaffold bridging ZAK to both collided ribosomes- RIM FPxL motif is strictly required for ZAK activation on collided ribosomes (not binding)- RIH motif anchors ZAK to RACK1 and is necessary for binding and activation- SERBP1 negatively regulates ZAK by competing for the RACK1 FPxL binding site- eS27 pin anchors ZAK to the 40S subunit via W768 and supports ribosome binding; ES7-patch also contributes
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[208: ZAK, Collided Ribosomes, and the Stress Switch]]>
                </itunes:title>
                                    <itunes:episode>208</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>ZAK, Collided Ribosomes, and the Stress Switch</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09772-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/zak-collided-ribosomes-and-the-stress-switch</p>
<p>️ Episode:<br />208: ZAK, Collided Ribosomes, and the Stress Switch</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />ZAK activation at the collided ribosome</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s portrayal of ZAK-RACK1 collision sensing, constitutive ribosome binding, anchor motifs (pin, ES7-patch, RIH), collision-sensing motif RIM, SAM-domain dimerization, SERBP1 competition, CLIP-seq findings, and downstream MAPK signaling.<br />- transcript topics: ZAK activation and constitutive ribosome binding; ZAK–RACK1 collision interface: pin, RIH, ES7/ES6 interactions; RACK1-based collision sensing via RIM FPxL motif; SAM-domain dimerization as activation switch; SERBP1 competition at RACK1 FPxL motif; CLIP-seq mapping to ES7 and ES6b/c on 18S rRNA</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ZAK activation is triggered by ribosome collisions via SAM-domain dimerization on the collision interface<br />- RACK1 acts as collision scaffold bridging ZAK to both collided ribosomes<br />- RIM FPxL motif is strictly required for ZAK activation on collided ribosomes (not binding)<br />- RIH motif anchors ZAK to RACK1 and is necessary for binding and activation<br />- SERBP1 negatively regulates ZAK by competing for the RACK1 FPxL binding site<br />- eS27 pin anchors ZAK to the 40S subunit via W768 and supports ribosome binding; ES7-patch also contributes</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[ZAK, Collided Ribosomes, and the Stress Switch
 Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09772-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/zak-collided-ribosomes-and-the-stress-switch
️ Episode:208: ZAK, Collided Ribosomes, and the Stress Switch
️ Season:1
 Article title:ZAK activation at the collided ribosome
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s portrayal of ZAK-RACK1 collision sensing, constitutive ribosome binding, anchor motifs (pin, ES7-patch, RIH), collision-sensing motif RIM, SAM-domain dimerization, SERBP1 competition, CLIP-seq findings, and downstream MAPK signaling.- transcript topics: ZAK activation and constitutive ribosome binding; ZAK–RACK1 collision interface: pin, RIH, ES7/ES6 interactions; RACK1-based collision sensing via RIM FPxL motif; SAM-domain dimerization as activation switch; SERBP1 competition at RACK1 FPxL motif; CLIP-seq mapping to ES7 and ES6b/c on 18S rRNA
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- ZAK activation is triggered by ribosome collisions via SAM-domain dimerization on the collision interface- RACK1 acts as collision scaffold bridging ZAK to both collided ribosomes- RIM FPxL motif is strictly required for ZAK activation on collided ribosomes (not binding)- RIH motif anchors ZAK to RACK1 and is necessary for binding and activation- SERBP1 negatively regulates ZAK by competing for the RACK1 FPxL binding site- eS27 pin anchors ZAK to the 40S subunit via W768 and supports ribosome binding; ES7-patch also contributes
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2240680/c1a-p6xp7-7z8kd1dvin-xehuvd.png"></itunes:image>
                                                                            <itunes:duration>00:15:55</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2240680/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[207: Semantic Design of de novo Genes with Evo]]>
                </title>
                <pubDate>Mon, 24 Nov 2025 02:00:11 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2240156</guid>
                                    <link>https://basebybase.castos.com/episodes/semantic-design-of-de-novo-genes-with-evo</link>
                                <description>
                                            <![CDATA[<p>Semantic Design of de novo Genes with Evo</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09749-7</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/semantic-design-of-de-novo-genes-with-evo</p>
<p>️ Episode:<br />207: Semantic Design of de novo Genes with Evo</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Semantic design of functional de novo genes from a genomic language model</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering Evo 1.5 long-context genomic language modeling, in-context design with gene autocomplete, toxin–antitoxin (T2TA/T3TA) design and validation, anti-CRISPR (Acr) design, SynGenome database creation and analyses, and discussed limitations/future directions.<br />- transcript topics: Evo 1.5 long-context genomic language model; In-context genomic design and autocomplete assessments; Amino acid sequence recovery and sequence diversity; Toxin–antitoxin (T2TA and T3TA) design and validation; Anti-CRISPR (Acr) design and validation; SynGenome database creation and analyses</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Semantic design uses genomic context to enable function-guided design and generate de novo genes (Evo learns distributional semantics over prokaryotic genes).<br />- Autocomplete test on conserved genes (e.g., rpoS) with Evo 1.5 achieved ~85% amino acid recovery at 30% input.<br />- Evo-generated functional toxin–antitoxin (T2TA) systems with low sequence identity to known proteins, including multitoxin neutralization by EvoAT2 and EvoAT4.<br />- Evo-design of type III toxin–antitoxin (T3TA) systems produced functional RNA antitoxins; EvoAT6 neutralized ToxN.<br />- Anti-CRISPR (Acr) design yielded functional Acrs with a 17% experimental success rate in SpCas9 assays.<br />- SynGenome: a database of over 120 billion base pairs of AI-generated genomic sequences; Pfam domain frequencies in SynGenome closely mirror natural genomes (Pearson r ≈ 0.78).</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - A New Way to Design New Genomes</li><li>(00:05:45) - Artificial Intelligence's challenge to protein design</li><li>(00:11:08) - Uncovering the genome's hidden secrets</li><li>(00:11:53) - The Secret Life of Genes</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Semantic Design of de novo Genes with Evo
 Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09749-7
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/semantic-design-of-de-novo-genes-with-evo
️ Episode:207: Semantic Design of de novo Genes with Evo
️ Season:1
 Article title:Semantic design of functional de novo genes from a genomic language model
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering Evo 1.5 long-context genomic language modeling, in-context design with gene autocomplete, toxin–antitoxin (T2TA/T3TA) design and validation, anti-CRISPR (Acr) design, SynGenome database creation and analyses, and discussed limitations/future directions.- transcript topics: Evo 1.5 long-context genomic language model; In-context genomic design and autocomplete assessments; Amino acid sequence recovery and sequence diversity; Toxin–antitoxin (T2TA and T3TA) design and validation; Anti-CRISPR (Acr) design and validation; SynGenome database creation and analyses
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Semantic design uses genomic context to enable function-guided design and generate de novo genes (Evo learns distributional semantics over prokaryotic genes).- Autocomplete test on conserved genes (e.g., rpoS) with Evo 1.5 achieved ~85% amino acid recovery at 30% input.- Evo-generated functional toxin–antitoxin (T2TA) systems with low sequence identity to known proteins, including multitoxin neutralization by EvoAT2 and EvoAT4.- Evo-design of type III toxin–antitoxin (T3TA) systems produced functional RNA antitoxins; EvoAT6 neutralized ToxN.- Anti-CRISPR (Acr) design yielded functional Acrs with a 17% experimental success rate in SpCas9 assays.- SynGenome: a database of over 120 billion base pairs of AI-generated genomic sequences; Pfam domain frequencies in SynGenome closely mirror natural genomes (Pearson r ≈ 0.78).
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[207: Semantic Design of de novo Genes with Evo]]>
                </itunes:title>
                                    <itunes:episode>207</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Semantic Design of de novo Genes with Evo</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09749-7</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/semantic-design-of-de-novo-genes-with-evo</p>
<p>️ Episode:<br />207: Semantic Design of de novo Genes with Evo</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Semantic design of functional de novo genes from a genomic language model</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering Evo 1.5 long-context genomic language modeling, in-context design with gene autocomplete, toxin–antitoxin (T2TA/T3TA) design and validation, anti-CRISPR (Acr) design, SynGenome database creation and analyses, and discussed limitations/future directions.<br />- transcript topics: Evo 1.5 long-context genomic language model; In-context genomic design and autocomplete assessments; Amino acid sequence recovery and sequence diversity; Toxin–antitoxin (T2TA and T3TA) design and validation; Anti-CRISPR (Acr) design and validation; SynGenome database creation and analyses</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Semantic design uses genomic context to enable function-guided design and generate de novo genes (Evo learns distributional semantics over prokaryotic genes).<br />- Autocomplete test on conserved genes (e.g., rpoS) with Evo 1.5 achieved ~85% amino acid recovery at 30% input.<br />- Evo-generated functional toxin–antitoxin (T2TA) systems with low sequence identity to known proteins, including multitoxin neutralization by EvoAT2 and EvoAT4.<br />- Evo-design of type III toxin–antitoxin (T3TA) systems produced functional RNA antitoxins; EvoAT6 neutralized ToxN.<br />- Anti-CRISPR (Acr) design yielded functional Acrs with a 17% experimental success rate in SpCas9 assays.<br />- SynGenome: a database of over 120 billion base pairs of AI-generated genomic sequences; Pfam domain frequencies in SynGenome closely mirror natural genomes (Pearson r ≈ 0.78).</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Semantic Design of de novo Genes with Evo
 Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09749-7
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/semantic-design-of-de-novo-genes-with-evo
️ Episode:207: Semantic Design of de novo Genes with Evo
️ Season:1
 Article title:Semantic design of functional de novo genes from a genomic language model
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering Evo 1.5 long-context genomic language modeling, in-context design with gene autocomplete, toxin–antitoxin (T2TA/T3TA) design and validation, anti-CRISPR (Acr) design, SynGenome database creation and analyses, and discussed limitations/future directions.- transcript topics: Evo 1.5 long-context genomic language model; In-context genomic design and autocomplete assessments; Amino acid sequence recovery and sequence diversity; Toxin–antitoxin (T2TA and T3TA) design and validation; Anti-CRISPR (Acr) design and validation; SynGenome database creation and analyses
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Semantic design uses genomic context to enable function-guided design and generate de novo genes (Evo learns distributional semantics over prokaryotic genes).- Autocomplete test on conserved genes (e.g., rpoS) with Evo 1.5 achieved ~85% amino acid recovery at 30% input.- Evo-generated functional toxin–antitoxin (T2TA) systems with low sequence identity to known proteins, including multitoxin neutralization by EvoAT2 and EvoAT4.- Evo-design of type III toxin–antitoxin (T3TA) systems produced functional RNA antitoxins; EvoAT6 neutralized ToxN.- Anti-CRISPR (Acr) design yielded functional Acrs with a 17% experimental success rate in SpCas9 assays.- SynGenome: a database of over 120 billion base pairs of AI-generated genomic sequences; Pfam domain frequencies in SynGenome closely mirror natural genomes (Pearson r ≈ 0.78).
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2240156/c1a-p6xp7-5zqk7mm5hng-wjxrqg.png"></itunes:image>
                                                                            <itunes:duration>00:15:05</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[206: Wild Birds and the North American H5N1 Epizootic]]>
                </title>
                <pubDate>Sat, 22 Nov 2025 12:06:31 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2237047</guid>
                                    <link>https://basebybase.castos.com/episodes/wild-birds-and-the-north-american-h5n1-epizootic</link>
                                <description>
                                            <![CDATA[<p>Wild Birds and the North American H5N1 Epizootic</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/wild-birds-and-the-north-american-h5n1-epizootic</p>
<p>️ Episode:<br />206: Wild Birds and the North American H5N1 Epizootic</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Ecology and spread of the North American H5N1 epizootic</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09737-x</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive transcript sections audited: introductions and phylogeography; flyway diffusion; canonical vs non-canonical hosts; spillover into backyard and agriculture; policy implications and surveillance; limitations and caveats.<br />- transcript topics: Introduction and scope of North American H5N1 epizootic; Phylogeographic analysis and number of introductions; Flyway diffusion and cross-continental spread; Canonical hosts (Anseriformes) vs non-canonical hosts; Persistence times in wild vs domestic birds; Spillovers to backyard and commercial poultry</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Nine introductions into North America via Atlantic and Pacific flyways<br />- Wild birds, especially Anseriformes, as primary drivers of transmission; non-canonical hosts largely dead-end<br />- Domestic poultry outbreaks seeded by 46–113 independent introductions from wild birds<br />- Backyard flocks infected ~9.6 days earlier than commercial poultry<br />- Farm-to-farm transmission is a minor part of the current wave; external wild-bird introductions drive spillovers<br />- East-to-west diffusion across flyways occurred more frequently than west-to-east (about 4.4×)</p>
<p>QC result: Pass.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - North American bird flu: The genetics of the virus</li><li>(00:04:03) - The map of bird flu spreads</li><li>(00:06:07) - How Did the Zika virus get to North America?</li><li>(00:09:09) - H5N1 spillover into poultry operations</li><li>(00:14:07) - Signals on the Flyways</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Wild Birds and the North American H5N1 Epizootic
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/wild-birds-and-the-north-american-h5n1-epizootic
️ Episode:206: Wild Birds and the North American H5N1 Epizootic
️ Season:1
 Article title:Ecology and spread of the North American H5N1 epizootic
 Journal:Nature
 DOI:10.1038/s41586-025-09737-x
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive transcript sections audited: introductions and phylogeography; flyway diffusion; canonical vs non-canonical hosts; spillover into backyard and agriculture; policy implications and surveillance; limitations and caveats.- transcript topics: Introduction and scope of North American H5N1 epizootic; Phylogeographic analysis and number of introductions; Flyway diffusion and cross-continental spread; Canonical hosts (Anseriformes) vs non-canonical hosts; Persistence times in wild vs domestic birds; Spillovers to backyard and commercial poultry
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Nine introductions into North America via Atlantic and Pacific flyways- Wild birds, especially Anseriformes, as primary drivers of transmission; non-canonical hosts largely dead-end- Domestic poultry outbreaks seeded by 46–113 independent introductions from wild birds- Backyard flocks infected ~9.6 days earlier than commercial poultry- Farm-to-farm transmission is a minor part of the current wave; external wild-bird introductions drive spillovers- East-to-west diffusion across flyways occurred more frequently than west-to-east (about 4.4×)
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[206: Wild Birds and the North American H5N1 Epizootic]]>
                </itunes:title>
                                    <itunes:episode>206</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Wild Birds and the North American H5N1 Epizootic</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/wild-birds-and-the-north-american-h5n1-epizootic</p>
<p>️ Episode:<br />206: Wild Birds and the North American H5N1 Epizootic</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Ecology and spread of the North American H5N1 epizootic</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09737-x</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive transcript sections audited: introductions and phylogeography; flyway diffusion; canonical vs non-canonical hosts; spillover into backyard and agriculture; policy implications and surveillance; limitations and caveats.<br />- transcript topics: Introduction and scope of North American H5N1 epizootic; Phylogeographic analysis and number of introductions; Flyway diffusion and cross-continental spread; Canonical hosts (Anseriformes) vs non-canonical hosts; Persistence times in wild vs domestic birds; Spillovers to backyard and commercial poultry</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Nine introductions into North America via Atlantic and Pacific flyways<br />- Wild birds, especially Anseriformes, as primary drivers of transmission; non-canonical hosts largely dead-end<br />- Domestic poultry outbreaks seeded by 46–113 independent introductions from wild birds<br />- Backyard flocks infected ~9.6 days earlier than commercial poultry<br />- Farm-to-farm transmission is a minor part of the current wave; external wild-bird introductions drive spillovers<br />- East-to-west diffusion across flyways occurred more frequently than west-to-east (about 4.4×)</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Wild Birds and the North American H5N1 Epizootic
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/wild-birds-and-the-north-american-h5n1-epizootic
️ Episode:206: Wild Birds and the North American H5N1 Epizootic
️ Season:1
 Article title:Ecology and spread of the North American H5N1 epizootic
 Journal:Nature
 DOI:10.1038/s41586-025-09737-x
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive transcript sections audited: introductions and phylogeography; flyway diffusion; canonical vs non-canonical hosts; spillover into backyard and agriculture; policy implications and surveillance; limitations and caveats.- transcript topics: Introduction and scope of North American H5N1 epizootic; Phylogeographic analysis and number of introductions; Flyway diffusion and cross-continental spread; Canonical hosts (Anseriformes) vs non-canonical hosts; Persistence times in wild vs domestic birds; Spillovers to backyard and commercial poultry
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Nine introductions into North America via Atlantic and Pacific flyways- Wild birds, especially Anseriformes, as primary drivers of transmission; non-canonical hosts largely dead-end- Domestic poultry outbreaks seeded by 46–113 independent introductions from wild birds- Backyard flocks infected ~9.6 days earlier than commercial poultry- Farm-to-farm transmission is a minor part of the current wave; external wild-bird introductions drive spillovers- East-to-west diffusion across flyways occurred more frequently than west-to-east (about 4.4×)
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2237047/c1a-p6xp7-xxk82nnnbmkr-3yggpm.png"></itunes:image>
                                                                            <itunes:duration>00:17:17</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2237047/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[205: Ancient RNA Expression Profiles from the Woolly Mammoth]]>
                </title>
                <pubDate>Fri, 21 Nov 2025 10:44:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2234328</guid>
                                    <link>https://basebybase.castos.com/episodes/ancient-rna-expression-profiles-from-the-woolly-mammoth</link>
                                <description>
                                            <![CDATA[<p>Ancient RNA Expression Profiles from the Woolly Mammoth</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ancient-rna-expression-profiles-from-the-woolly-mammoth</p>
<p>️ Episode:<br />205: Ancient RNA Expression Profiles from the Woolly Mammoth</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Ancient RNA Expression Profiles from the Woolly Mammoth</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.10.025</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s coverage of the main experimental design, data-quality checks, major results, tissue-level interpretation, and preservation rationale described in the article. Assessed sections: sample collection/preservation; RNA sequencing and fragment mapping; damage signatures and data authenticity; exonic<br />- transcript topics: Sample collection and permafrost preservation; RNA sequencing, fragment length, and mapping strategy; Damage signatures and data authenticity (C&gt;U deamination, 5' end bias); Exonic mapping and exon-exon junctions indicating mature mRNA; Tissue identity and metabolism (skeletal muscle, slow-twitch markers MYH7, TNNT1, NEB); Genetic sex determination (Y-chromosome transcripts USP9Y)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 1<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- RNA recovered from multiple mammoth samples; three showed endogenous mammoth material<br />- RNA fragments map predominantly to exonic regions and span exon-exon junctions (indicating mature mRNA)<br />- Tissue-specific transcriptional profile consistent with skeletal muscle and slow-twitch fiber markers<br />- Sex of the mammoth Yuka identified as male via Y-chromosome transcripts (USP9Y) and autosomal DNA analysis<br />- New regulatory microRNAs predicted (MPR novel 4 and 5) specific to Afrotherians<br />- Specific microRNA variant Mir-1 with lineage-specific signatures (Proboscideans)</p>
<p>QC Flagged Items (audited and not fully supported):<br />- Core claim uncertain: RNA preservation is limited to soft tissues; extension to bone is challenging</p>
<p>QC result: Warning. Items above were flagged during automated QC; the editorial team reviewed them before release.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ancient RNA Expression Profiles from the Woolly Mammoth
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ancient-rna-expression-profiles-from-the-woolly-mammoth
️ Episode:205: Ancient RNA Expression Profiles from the Woolly Mammoth
️ Season:1
 Article title:Ancient RNA Expression Profiles from the Woolly Mammoth
 Journal:Cell
 DOI:10.1016/j.cell.2025.10.025
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s coverage of the main experimental design, data-quality checks, major results, tissue-level interpretation, and preservation rationale described in the article. Assessed sections: sample collection/preservation; RNA sequencing and fragment mapping; damage signatures and data authenticity; exonic- transcript topics: Sample collection and permafrost preservation; RNA sequencing, fragment length, and mapping strategy; Damage signatures and data authenticity (C>U deamination, 5' end bias); Exonic mapping and exon-exon junctions indicating mature mRNA; Tissue identity and metabolism (skeletal muscle, slow-twitch markers MYH7, TNNT1, NEB); Genetic sex determination (Y-chromosome transcripts USP9Y)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 1- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- RNA recovered from multiple mammoth samples; three showed endogenous mammoth material- RNA fragments map predominantly to exonic regions and span exon-exon junctions (indicating mature mRNA)- Tissue-specific transcriptional profile consistent with skeletal muscle and slow-twitch fiber markers- Sex of the mammoth Yuka identified as male via Y-chromosome transcripts (USP9Y) and autosomal DNA analysis- New regulatory microRNAs predicted (MPR novel 4 and 5) specific to Afrotherians- Specific microRNA variant Mir-1 with lineage-specific signatures (Proboscideans)
QC Flagged Items (audited and not fully supported):- Core claim uncertain: RNA preservation is limited to soft tissues; extension to bone is challenging
QC result: Warning. Items above were flagged during automated QC; the editorial team reviewed them before release.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[205: Ancient RNA Expression Profiles from the Woolly Mammoth]]>
                </itunes:title>
                                    <itunes:episode>205</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ancient RNA Expression Profiles from the Woolly Mammoth</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ancient-rna-expression-profiles-from-the-woolly-mammoth</p>
<p>️ Episode:<br />205: Ancient RNA Expression Profiles from the Woolly Mammoth</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Ancient RNA Expression Profiles from the Woolly Mammoth</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.10.025</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s coverage of the main experimental design, data-quality checks, major results, tissue-level interpretation, and preservation rationale described in the article. Assessed sections: sample collection/preservation; RNA sequencing and fragment mapping; damage signatures and data authenticity; exonic<br />- transcript topics: Sample collection and permafrost preservation; RNA sequencing, fragment length, and mapping strategy; Damage signatures and data authenticity (C&gt;U deamination, 5' end bias); Exonic mapping and exon-exon junctions indicating mature mRNA; Tissue identity and metabolism (skeletal muscle, slow-twitch markers MYH7, TNNT1, NEB); Genetic sex determination (Y-chromosome transcripts USP9Y)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 1<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- RNA recovered from multiple mammoth samples; three showed endogenous mammoth material<br />- RNA fragments map predominantly to exonic regions and span exon-exon junctions (indicating mature mRNA)<br />- Tissue-specific transcriptional profile consistent with skeletal muscle and slow-twitch fiber markers<br />- Sex of the mammoth Yuka identified as male via Y-chromosome transcripts (USP9Y) and autosomal DNA analysis<br />- New regulatory microRNAs predicted (MPR novel 4 and 5) specific to Afrotherians<br />- Specific microRNA variant Mir-1 with lineage-specific signatures (Proboscideans)</p>
<p>QC Flagged Items (audited and not fully supported):<br />- Core claim uncertain: RNA preservation is limited to soft tissues; extension to bone is challenging</p>
<p>QC result: Warning. Items above were flagged during automated QC; the editorial team reviewed them before release.</p>]]>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Ancient RNA Expression Profiles from the Woolly Mammoth
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ancient-rna-expression-profiles-from-the-woolly-mammoth
️ Episode:205: Ancient RNA Expression Profiles from the Woolly Mammoth
️ Season:1
 Article title:Ancient RNA Expression Profiles from the Woolly Mammoth
 Journal:Cell
 DOI:10.1016/j.cell.2025.10.025
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s coverage of the main experimental design, data-quality checks, major results, tissue-level interpretation, and preservation rationale described in the article. Assessed sections: sample collection/preservation; RNA sequencing and fragment mapping; damage signatures and data authenticity; exonic- transcript topics: Sample collection and permafrost preservation; RNA sequencing, fragment length, and mapping strategy; Damage signatures and data authenticity (C>U deamination, 5' end bias); Exonic mapping and exon-exon junctions indicating mature mRNA; Tissue identity and metabolism (skeletal muscle, slow-twitch markers MYH7, TNNT1, NEB); Genetic sex determination (Y-chromosome transcripts USP9Y)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 1- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- RNA recovered from multiple mammoth samples; three showed endogenous mammoth material- RNA fragments map predominantly to exonic regions and span exon-exon junctions (indicating mature mRNA)- Tissue-specific transcriptional profile consistent with skeletal muscle and slow-twitch fiber markers- Sex of the mammoth Yuka identified as male via Y-chromosome transcripts (USP9Y) and autosomal DNA analysis- New regulatory microRNAs predicted (MPR novel 4 and 5) specific to Afrotherians- Specific microRNA variant Mir-1 with lineage-specific signatures (Proboscideans)
QC Flagged Items (audited and not fully supported):- Core claim uncertain: RNA preservation is limited to soft tissues; extension to bone is challenging
QC result: Warning. Items above were flagged during automated QC; the editorial team reviewed them before release.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2234328/c1a-p6xp7-7z8kd11wf93o-2kcbdm.png"></itunes:image>
                                                                            <itunes:duration>00:17:19</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[204: StealTHY CRISPR: Revealing Hidden Metastasis Regulators]]>
                </title>
                <pubDate>Thu, 20 Nov 2025 10:39:51 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2234325</guid>
                                    <link>https://basebybase.castos.com/episodes/stealthy-crispr-revealing-hidden-metastasis-regulators</link>
                                <description>
                                            <![CDATA[<p>StealTHY CRISPR: Revealing Hidden Metastasis Regulators</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />CC BY 4.0 International License (CC BY 4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/stealthy-crispr-revealing-hidden-metastasis-regulators</p>
<p>️ Episode:<br />204: StealTHY CRISPR: Revealing Hidden Metastasis Regulators</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Stealthy CRISPR: Revealing Hidden Metastasis Regulators</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.10.007</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing CRISPR immunogenicity in vivo, stealth platform design (immune stealth reporters, autologous reporters, Hit-and-Run Cas9), Harakiri selection, library diversity preservation, AMHR2 axis as metastasis driver, and clinical relevance via TCGA.<br />- transcript topics: CRISPR immunogenicity in vivo and iatrogenic clonal dropout; Stealth platform design: immune stealth reporters, autologous reporters, Hit-and-Run Cas9; Harakiri selection and ex vivo purification; Preservation of sgRNA library diversity in immunocompetent models; AMHR2 axis as metastasis driver; Dominant negative AMHR2 decoy receptor therapy</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Stealth CRISPR platform uses immune stealth reporters, HiT-and-Run (Hit-and-Run) Cas9 delivery, and Harakiri selection to render CRISPR screens immunologically inert<br />- In immunocompetent models, stealth platform preserves clonal diversity and full sgRNA library integrity<br />- AMHR2 axis identified as a major driver of metastasis; knockout yields a 20-fold reduction in metastases<br />- Dominant negative AMHR2 decoy receptor suppresses tumor volume by &gt;80% and essentially abolishes metastasis in humanized/PDX models<br />- Blocking AMHR2 signaling shifts tumor immune microenvironment: reduced Tregs, increased activated macrophages and cytotoxic T cells; Type I interferon genes and STAT1 pathway upreg<br />- Human relevance supported via TCGA data showing high AMH expression correlates with poor prognosis in breast cancer</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[StealTHY CRISPR: Revealing Hidden Metastasis Regulators
 Music:Enjoy the music based on this article at the end of the episode.
 License:CC BY 4.0 International License (CC BY 4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/stealthy-crispr-revealing-hidden-metastasis-regulators
️ Episode:204: StealTHY CRISPR: Revealing Hidden Metastasis Regulators
️ Season:1
 Article title:Stealthy CRISPR: Revealing Hidden Metastasis Regulators
 Journal:Cell
 DOI:10.1016/j.cell.2025.10.007
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing CRISPR immunogenicity in vivo, stealth platform design (immune stealth reporters, autologous reporters, Hit-and-Run Cas9), Harakiri selection, library diversity preservation, AMHR2 axis as metastasis driver, and clinical relevance via TCGA.- transcript topics: CRISPR immunogenicity in vivo and iatrogenic clonal dropout; Stealth platform design: immune stealth reporters, autologous reporters, Hit-and-Run Cas9; Harakiri selection and ex vivo purification; Preservation of sgRNA library diversity in immunocompetent models; AMHR2 axis as metastasis driver; Dominant negative AMHR2 decoy receptor therapy
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Stealth CRISPR platform uses immune stealth reporters, HiT-and-Run (Hit-and-Run) Cas9 delivery, and Harakiri selection to render CRISPR screens immunologically inert- In immunocompetent models, stealth platform preserves clonal diversity and full sgRNA library integrity- AMHR2 axis identified as a major driver of metastasis; knockout yields a 20-fold reduction in metastases- Dominant negative AMHR2 decoy receptor suppresses tumor volume by >80% and essentially abolishes metastasis in humanized/PDX models- Blocking AMHR2 signaling shifts tumor immune microenvironment: reduced Tregs, increased activated macrophages and cytotoxic T cells; Type I interferon genes and STAT1 pathway upreg- Human relevance supported via TCGA data showing high AMH expression correlates with poor prognosis in breast cancer
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[204: StealTHY CRISPR: Revealing Hidden Metastasis Regulators]]>
                </itunes:title>
                                    <itunes:episode>204</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>StealTHY CRISPR: Revealing Hidden Metastasis Regulators</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />CC BY 4.0 International License (CC BY 4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/stealthy-crispr-revealing-hidden-metastasis-regulators</p>
<p>️ Episode:<br />204: StealTHY CRISPR: Revealing Hidden Metastasis Regulators</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Stealthy CRISPR: Revealing Hidden Metastasis Regulators</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.10.007</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing CRISPR immunogenicity in vivo, stealth platform design (immune stealth reporters, autologous reporters, Hit-and-Run Cas9), Harakiri selection, library diversity preservation, AMHR2 axis as metastasis driver, and clinical relevance via TCGA.<br />- transcript topics: CRISPR immunogenicity in vivo and iatrogenic clonal dropout; Stealth platform design: immune stealth reporters, autologous reporters, Hit-and-Run Cas9; Harakiri selection and ex vivo purification; Preservation of sgRNA library diversity in immunocompetent models; AMHR2 axis as metastasis driver; Dominant negative AMHR2 decoy receptor therapy</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Stealth CRISPR platform uses immune stealth reporters, HiT-and-Run (Hit-and-Run) Cas9 delivery, and Harakiri selection to render CRISPR screens immunologically inert<br />- In immunocompetent models, stealth platform preserves clonal diversity and full sgRNA library integrity<br />- AMHR2 axis identified as a major driver of metastasis; knockout yields a 20-fold reduction in metastases<br />- Dominant negative AMHR2 decoy receptor suppresses tumor volume by &gt;80% and essentially abolishes metastasis in humanized/PDX models<br />- Blocking AMHR2 signaling shifts tumor immune microenvironment: reduced Tregs, increased activated macrophages and cytotoxic T cells; Type I interferon genes and STAT1 pathway upreg<br />- Human relevance supported via TCGA data showing high AMH expression correlates with poor prognosis in breast cancer</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[StealTHY CRISPR: Revealing Hidden Metastasis Regulators
 Music:Enjoy the music based on this article at the end of the episode.
 License:CC BY 4.0 International License (CC BY 4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/stealthy-crispr-revealing-hidden-metastasis-regulators
️ Episode:204: StealTHY CRISPR: Revealing Hidden Metastasis Regulators
️ Season:1
 Article title:Stealthy CRISPR: Revealing Hidden Metastasis Regulators
 Journal:Cell
 DOI:10.1016/j.cell.2025.10.007
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing CRISPR immunogenicity in vivo, stealth platform design (immune stealth reporters, autologous reporters, Hit-and-Run Cas9), Harakiri selection, library diversity preservation, AMHR2 axis as metastasis driver, and clinical relevance via TCGA.- transcript topics: CRISPR immunogenicity in vivo and iatrogenic clonal dropout; Stealth platform design: immune stealth reporters, autologous reporters, Hit-and-Run Cas9; Harakiri selection and ex vivo purification; Preservation of sgRNA library diversity in immunocompetent models; AMHR2 axis as metastasis driver; Dominant negative AMHR2 decoy receptor therapy
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Stealth CRISPR platform uses immune stealth reporters, HiT-and-Run (Hit-and-Run) Cas9 delivery, and Harakiri selection to render CRISPR screens immunologically inert- In immunocompetent models, stealth platform preserves clonal diversity and full sgRNA library integrity- AMHR2 axis identified as a major driver of metastasis; knockout yields a 20-fold reduction in metastases- Dominant negative AMHR2 decoy receptor suppresses tumor volume by >80% and essentially abolishes metastasis in humanized/PDX models- Blocking AMHR2 signaling shifts tumor immune microenvironment: reduced Tregs, increased activated macrophages and cytotoxic T cells; Type I interferon genes and STAT1 pathway upreg- Human relevance supported via TCGA data showing high AMH expression correlates with poor prognosis in breast cancer
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2234325/c1a-p6xp7-xxk82nn7hv5n-cb9ipg.png"></itunes:image>
                                                                            <itunes:duration>00:16:39</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[203: Divergent Evolutionary Dynamics of Benign and Malignant Tumors]]>
                </title>
                <pubDate>Wed, 19 Nov 2025 20:24:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2231937</guid>
                                    <link>https://basebybase.castos.com/episodes/divergent-evolutionary-dynamics-of-benign-and-malignant-tumors</link>
                                <description>
                                            <![CDATA[<p>Divergent Evolutionary Dynamics of Benign and Malignant Tumors</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/divergent-evolutionary-dynamics-of-benign-and-malignant-tumors</p>
<p>️ Episode:<br />203: Divergent Evolutionary Dynamics of Benign and Malignant Tumors</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Divergent Evolutionary Dynamics of Benign and Malignant Tumors</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences</p>
<p> DOI:<br />10.1073/pnas.2519203122</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and methods: tumor definitions; macroevolutionary drivers (body mass, pathwise rate, diversification); MPGLMM approach; results across birds and mammals; genome-architecture implications; implications for cancer resistance and therapy.<br />- transcript topics: Benign vs malignant tumor definitions; Body mass and tumor prevalence; Pathwise rate and malignant tumor prevalence; Benign tumor prevalence and pathwise rate; Diversification rate and tumor prevalence in birds vs mammals; MPGLMM methodology (Bayesian phylogenetic modeling)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Body mass positively relates to tumor prevalence for both benign and malignant tumors across birds and mammals.<br />- Malignant tumor prevalence is negatively associated with the pathwise rate of body size evolution.<br />- Benign tumor prevalence shows no significant association with the pathwise rate.<br />- Diversification rate correlates positively with tumor prevalence in birds for both tumor types; no significant effect in mammals.<br />- Bird genome architecture (smaller, compact genomes) may underlie the observed divergence via genomic instability and chromosomal rearrangements.<br />- Overall divergence: malignant tumors are constrained by body-size evolution; benign tumors persist with less constraint; distinct macroevolutionary drivers for each tumor type.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Divergent Evolutionary Dynamics of Benign and Malignant Tumors
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/divergent-evolutionary-dynamics-of-benign-and-malignant-tumors
️ Episode:203: Divergent Evolutionary Dynamics of Benign and Malignant Tumors
️ Season:1
 Article title:Divergent Evolutionary Dynamics of Benign and Malignant Tumors
 Journal:Proceedings of the National Academy of Sciences
 DOI:10.1073/pnas.2519203122
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and methods: tumor definitions; macroevolutionary drivers (body mass, pathwise rate, diversification); MPGLMM approach; results across birds and mammals; genome-architecture implications; implications for cancer resistance and therapy.- transcript topics: Benign vs malignant tumor definitions; Body mass and tumor prevalence; Pathwise rate and malignant tumor prevalence; Benign tumor prevalence and pathwise rate; Diversification rate and tumor prevalence in birds vs mammals; MPGLMM methodology (Bayesian phylogenetic modeling)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Body mass positively relates to tumor prevalence for both benign and malignant tumors across birds and mammals.- Malignant tumor prevalence is negatively associated with the pathwise rate of body size evolution.- Benign tumor prevalence shows no significant association with the pathwise rate.- Diversification rate correlates positively with tumor prevalence in birds for both tumor types; no significant effect in mammals.- Bird genome architecture (smaller, compact genomes) may underlie the observed divergence via genomic instability and chromosomal rearrangements.- Overall divergence: malignant tumors are constrained by body-size evolution; benign tumors persist with less constraint; distinct macroevolutionary drivers for each tumor type.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[203: Divergent Evolutionary Dynamics of Benign and Malignant Tumors]]>
                </itunes:title>
                                    <itunes:episode>203</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Divergent Evolutionary Dynamics of Benign and Malignant Tumors</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/divergent-evolutionary-dynamics-of-benign-and-malignant-tumors</p>
<p>️ Episode:<br />203: Divergent Evolutionary Dynamics of Benign and Malignant Tumors</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Divergent Evolutionary Dynamics of Benign and Malignant Tumors</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences</p>
<p> DOI:<br />10.1073/pnas.2519203122</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and methods: tumor definitions; macroevolutionary drivers (body mass, pathwise rate, diversification); MPGLMM approach; results across birds and mammals; genome-architecture implications; implications for cancer resistance and therapy.<br />- transcript topics: Benign vs malignant tumor definitions; Body mass and tumor prevalence; Pathwise rate and malignant tumor prevalence; Benign tumor prevalence and pathwise rate; Diversification rate and tumor prevalence in birds vs mammals; MPGLMM methodology (Bayesian phylogenetic modeling)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Body mass positively relates to tumor prevalence for both benign and malignant tumors across birds and mammals.<br />- Malignant tumor prevalence is negatively associated with the pathwise rate of body size evolution.<br />- Benign tumor prevalence shows no significant association with the pathwise rate.<br />- Diversification rate correlates positively with tumor prevalence in birds for both tumor types; no significant effect in mammals.<br />- Bird genome architecture (smaller, compact genomes) may underlie the observed divergence via genomic instability and chromosomal rearrangements.<br />- Overall divergence: malignant tumors are constrained by body-size evolution; benign tumors persist with less constraint; distinct macroevolutionary drivers for each tumor type.</p>
<p>QC result: Pass.</p>]]>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Divergent Evolutionary Dynamics of Benign and Malignant Tumors
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/divergent-evolutionary-dynamics-of-benign-and-malignant-tumors
️ Episode:203: Divergent Evolutionary Dynamics of Benign and Malignant Tumors
️ Season:1
 Article title:Divergent Evolutionary Dynamics of Benign and Malignant Tumors
 Journal:Proceedings of the National Academy of Sciences
 DOI:10.1073/pnas.2519203122
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and methods: tumor definitions; macroevolutionary drivers (body mass, pathwise rate, diversification); MPGLMM approach; results across birds and mammals; genome-architecture implications; implications for cancer resistance and therapy.- transcript topics: Benign vs malignant tumor definitions; Body mass and tumor prevalence; Pathwise rate and malignant tumor prevalence; Benign tumor prevalence and pathwise rate; Diversification rate and tumor prevalence in birds vs mammals; MPGLMM methodology (Bayesian phylogenetic modeling)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Body mass positively relates to tumor prevalence for both benign and malignant tumors across birds and mammals.- Malignant tumor prevalence is negatively associated with the pathwise rate of body size evolution.- Benign tumor prevalence shows no significant association with the pathwise rate.- Diversification rate correlates positively with tumor prevalence in birds for both tumor types; no significant effect in mammals.- Bird genome architecture (smaller, compact genomes) may underlie the observed divergence via genomic instability and chromosomal rearrangements.- Overall divergence: malignant tumors are constrained by body-size evolution; benign tumors persist with less constraint; distinct macroevolutionary drivers for each tumor type.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2231937/c1a-p6xp7-rkgdrxxdimkr-63qzdp.png"></itunes:image>
                                                                            <itunes:duration>00:18:14</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[202: Stereo-seq V2: Spatial Total RNA Mapping in FFPE Tissues]]>
                </title>
                <pubDate>Wed, 19 Nov 2025 06:45:12 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2231987</guid>
                                    <link>https://basebybase.castos.com/episodes/stereo-seq-v2-spatial-total-rna-mapping-in-ffpe-tissues</link>
                                <description>
                                            <![CDATA[<p>Stereo-seq V2: Spatial Total RNA Mapping in FFPE Tissues</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />CC BY 4.0 International License (CC BY 4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/stereo-seq-v2-spatial-total-rna-mapping-in-ffpe-tissues</p>
<p>️ Episode:<br />202: Stereo-seq V2: Spatial Total RNA Mapping in FFPE Tissues</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Stereo-Seq V2: Spatial Total RNA Mapping in FFPE Tissues</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.08.008</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing FFPE RNA degradation and cross-linking, random-priming with 6N primers, uniform gene-body coverage and 3' bias elimination, 500 nm DNA nano-ball (DNB) arrays for subcellular spatial resolution, total RNA mapping including non-polyadenylated RNAs, DV200 tolerance, large-gene detect<br />- transcript topics: FFPE RNA degradation and formaldehyde cross-linking; Random-priming with 6N primers vs poly-A capture; Uniform gene-body coverage and 3' bias elimination; DNA nano-ball (DNB) arrays at 500 nm spacing for subcellular resolution; Total RNA mapping including non-polyadenylated RNAs; DV200 tolerance in aged FFPE samples</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Stereo-Seq V2 uses random primers (6N) to capture total RNA from FFPE tissues<br />- Random priming yields uniform coverage across the entire gene body and removes 3' bias<br />- Total RNA mapping includes non-polyadenylated RNAs enabling non-coding RNA profiling<br />- DV200 tolerance: low as 18% in nine-year-old FFPE samples<br />- Gene detection exceeds poly-A based methods with &gt;23,000 genes missed by poly-A techniques<br />- Alternative splicing events identified (e.g., GIPC1 exon skipping)</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Stereo-seq V2: Spatial Total RNA Mapping in FFPE Tissues
 Music:Enjoy the music based on this article at the end of the episode.
 License:CC BY 4.0 International License (CC BY 4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/stereo-seq-v2-spatial-total-rna-mapping-in-ffpe-tissues
️ Episode:202: Stereo-seq V2: Spatial Total RNA Mapping in FFPE Tissues
️ Season:1
 Article title:Stereo-Seq V2: Spatial Total RNA Mapping in FFPE Tissues
 Journal:Cell
 DOI:10.1016/j.cell.2025.08.008
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing FFPE RNA degradation and cross-linking, random-priming with 6N primers, uniform gene-body coverage and 3' bias elimination, 500 nm DNA nano-ball (DNB) arrays for subcellular spatial resolution, total RNA mapping including non-polyadenylated RNAs, DV200 tolerance, large-gene detect- transcript topics: FFPE RNA degradation and formaldehyde cross-linking; Random-priming with 6N primers vs poly-A capture; Uniform gene-body coverage and 3' bias elimination; DNA nano-ball (DNB) arrays at 500 nm spacing for subcellular resolution; Total RNA mapping including non-polyadenylated RNAs; DV200 tolerance in aged FFPE samples
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Stereo-Seq V2 uses random primers (6N) to capture total RNA from FFPE tissues- Random priming yields uniform coverage across the entire gene body and removes 3' bias- Total RNA mapping includes non-polyadenylated RNAs enabling non-coding RNA profiling- DV200 tolerance: low as 18% in nine-year-old FFPE samples- Gene detection exceeds poly-A based methods with >23,000 genes missed by poly-A techniques- Alternative splicing events identified (e.g., GIPC1 exon skipping)
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[202: Stereo-seq V2: Spatial Total RNA Mapping in FFPE Tissues]]>
                </itunes:title>
                                    <itunes:episode>202</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Stereo-seq V2: Spatial Total RNA Mapping in FFPE Tissues</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />CC BY 4.0 International License (CC BY 4.0)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/stereo-seq-v2-spatial-total-rna-mapping-in-ffpe-tissues</p>
<p>️ Episode:<br />202: Stereo-seq V2: Spatial Total RNA Mapping in FFPE Tissues</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Stereo-Seq V2: Spatial Total RNA Mapping in FFPE Tissues</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.08.008</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing FFPE RNA degradation and cross-linking, random-priming with 6N primers, uniform gene-body coverage and 3' bias elimination, 500 nm DNA nano-ball (DNB) arrays for subcellular spatial resolution, total RNA mapping including non-polyadenylated RNAs, DV200 tolerance, large-gene detect<br />- transcript topics: FFPE RNA degradation and formaldehyde cross-linking; Random-priming with 6N primers vs poly-A capture; Uniform gene-body coverage and 3' bias elimination; DNA nano-ball (DNB) arrays at 500 nm spacing for subcellular resolution; Total RNA mapping including non-polyadenylated RNAs; DV200 tolerance in aged FFPE samples</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Stereo-Seq V2 uses random primers (6N) to capture total RNA from FFPE tissues<br />- Random priming yields uniform coverage across the entire gene body and removes 3' bias<br />- Total RNA mapping includes non-polyadenylated RNAs enabling non-coding RNA profiling<br />- DV200 tolerance: low as 18% in nine-year-old FFPE samples<br />- Gene detection exceeds poly-A based methods with &gt;23,000 genes missed by poly-A techniques<br />- Alternative splicing events identified (e.g., GIPC1 exon skipping)</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Stereo-seq V2: Spatial Total RNA Mapping in FFPE Tissues
 Music:Enjoy the music based on this article at the end of the episode.
 License:CC BY 4.0 International License (CC BY 4.0)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/stereo-seq-v2-spatial-total-rna-mapping-in-ffpe-tissues
️ Episode:202: Stereo-seq V2: Spatial Total RNA Mapping in FFPE Tissues
️ Season:1
 Article title:Stereo-Seq V2: Spatial Total RNA Mapping in FFPE Tissues
 Journal:Cell
 DOI:10.1016/j.cell.2025.08.008
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing FFPE RNA degradation and cross-linking, random-priming with 6N primers, uniform gene-body coverage and 3' bias elimination, 500 nm DNA nano-ball (DNB) arrays for subcellular spatial resolution, total RNA mapping including non-polyadenylated RNAs, DV200 tolerance, large-gene detect- transcript topics: FFPE RNA degradation and formaldehyde cross-linking; Random-priming with 6N primers vs poly-A capture; Uniform gene-body coverage and 3' bias elimination; DNA nano-ball (DNB) arrays at 500 nm spacing for subcellular resolution; Total RNA mapping including non-polyadenylated RNAs; DV200 tolerance in aged FFPE samples
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Stereo-Seq V2 uses random primers (6N) to capture total RNA from FFPE tissues- Random priming yields uniform coverage across the entire gene body and removes 3' bias- Total RNA mapping includes non-polyadenylated RNAs enabling non-coding RNA profiling- DV200 tolerance: low as 18% in nine-year-old FFPE samples- Gene detection exceeds poly-A based methods with >23,000 genes missed by poly-A techniques- Alternative splicing events identified (e.g., GIPC1 exon skipping)
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2231987/c1a-p6xp7-47415n0zt89q-mlao1r.png"></itunes:image>
                                                                            <itunes:duration>00:17:08</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[201: Sex, Smoking, and Somatic Selection in the Bladder]]>
                </title>
                <pubDate>Mon, 17 Nov 2025 09:41:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2224779</guid>
                                    <link>https://basebybase.castos.com/episodes/sex-smoking-bladder-clones</link>
                                <description>
                                            <![CDATA[<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09521-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p>️ Episode:<br />201: 201: Sex, Smoking, and Somatic Selection in the Bladder</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Sex and smoking bias in the selection of somatic mutations in human bladder</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited transcript sections describing the sequencing approach, gene panel, positive/negative selection signals, TERT promoter mutations linked to age and smoking, smoking as promoter, FGFR3 negative selection, natural saturation mutagenesis, TP53 site selection, sex differences, and sampling design (dome<br />- transcript topics: Ultradeep duplex sequencing of normal urothelium; Driver mutations in RBM10, CDKN1A, ARID1A; Positive/negative selection signals (dN/dS, clustering, functional bias); TERT promoter activating mutations and association with age and smoking; Smoking as promoter rather than global mutagenesis; FGFR3 truncating mutations under negative selection</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Ultradeep sequencing identified thousands of driver mutations across 16 genes in normal urothelium<br />- Men show higher truncating driver mutations in RBM10, CDKN1A, ARID1A than women<br />- Activating TERT promoter mutations detected in normal bladder tissue and associated with age and smoking<br />- TERT promoter mutations promote clonal expansions rather than globally increasing mutation density in smokers<br />- FGFR3 truncating mutations exhibit negative selection in normal urothelium<br />- Natural saturation mutagenesis observed in vivo via ultradeep sequencing, with TP53 site-specific positive selection</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[ Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09521-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
️ Episode:201: 201: Sex, Smoking, and Somatic Selection in the Bladder
️ Season:1
 Article title:Sex and smoking bias in the selection of somatic mutations in human bladder
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited transcript sections describing the sequencing approach, gene panel, positive/negative selection signals, TERT promoter mutations linked to age and smoking, smoking as promoter, FGFR3 negative selection, natural saturation mutagenesis, TP53 site selection, sex differences, and sampling design (dome- transcript topics: Ultradeep duplex sequencing of normal urothelium; Driver mutations in RBM10, CDKN1A, ARID1A; Positive/negative selection signals (dN/dS, clustering, functional bias); TERT promoter activating mutations and association with age and smoking; Smoking as promoter rather than global mutagenesis; FGFR3 truncating mutations under negative selection
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Ultradeep sequencing identified thousands of driver mutations across 16 genes in normal urothelium- Men show higher truncating driver mutations in RBM10, CDKN1A, ARID1A than women- Activating TERT promoter mutations detected in normal bladder tissue and associated with age and smoking- TERT promoter mutations promote clonal expansions rather than globally increasing mutation density in smokers- FGFR3 truncating mutations exhibit negative selection in normal urothelium- Natural saturation mutagenesis observed in vivo via ultradeep sequencing, with TP53 site-specific positive selection
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[201: Sex, Smoking, and Somatic Selection in the Bladder]]>
                </itunes:title>
                                    <itunes:episode>201</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09521-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p>️ Episode:<br />201: 201: Sex, Smoking, and Somatic Selection in the Bladder</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Sex and smoking bias in the selection of somatic mutations in human bladder</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited transcript sections describing the sequencing approach, gene panel, positive/negative selection signals, TERT promoter mutations linked to age and smoking, smoking as promoter, FGFR3 negative selection, natural saturation mutagenesis, TP53 site selection, sex differences, and sampling design (dome<br />- transcript topics: Ultradeep duplex sequencing of normal urothelium; Driver mutations in RBM10, CDKN1A, ARID1A; Positive/negative selection signals (dN/dS, clustering, functional bias); TERT promoter activating mutations and association with age and smoking; Smoking as promoter rather than global mutagenesis; FGFR3 truncating mutations under negative selection</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Ultradeep sequencing identified thousands of driver mutations across 16 genes in normal urothelium<br />- Men show higher truncating driver mutations in RBM10, CDKN1A, ARID1A than women<br />- Activating TERT promoter mutations detected in normal bladder tissue and associated with age and smoking<br />- TERT promoter mutations promote clonal expansions rather than globally increasing mutation density in smokers<br />- FGFR3 truncating mutations exhibit negative selection in normal urothelium<br />- Natural saturation mutagenesis observed in vivo via ultradeep sequencing, with TP53 site-specific positive selection</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[ Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09521-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
️ Episode:201: 201: Sex, Smoking, and Somatic Selection in the Bladder
️ Season:1
 Article title:Sex and smoking bias in the selection of somatic mutations in human bladder
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited transcript sections describing the sequencing approach, gene panel, positive/negative selection signals, TERT promoter mutations linked to age and smoking, smoking as promoter, FGFR3 negative selection, natural saturation mutagenesis, TP53 site selection, sex differences, and sampling design (dome- transcript topics: Ultradeep duplex sequencing of normal urothelium; Driver mutations in RBM10, CDKN1A, ARID1A; Positive/negative selection signals (dN/dS, clustering, functional bias); TERT promoter activating mutations and association with age and smoking; Smoking as promoter rather than global mutagenesis; FGFR3 truncating mutations under negative selection
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Ultradeep sequencing identified thousands of driver mutations across 16 genes in normal urothelium- Men show higher truncating driver mutations in RBM10, CDKN1A, ARID1A than women- Activating TERT promoter mutations detected in normal bladder tissue and associated with age and smoking- TERT promoter mutations promote clonal expansions rather than globally increasing mutation density in smokers- FGFR3 truncating mutations exhibit negative selection in normal urothelium- Natural saturation mutagenesis observed in vivo via ultradeep sequencing, with TP53 site-specific positive selection
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2224779/c1a-p6xp7-7z8kd1g2swo5-scanzq.png"></itunes:image>
                                                                            <itunes:duration>00:14:52</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[200: Sperm Sequencing Reveals Extensive Positive Selection in the Male Germline]]>
                </title>
                <pubDate>Sun, 16 Nov 2025 11:02:52 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2217460</guid>
                                    <link>https://basebybase.castos.com/episodes/sperm-selection-male-germline-risk</link>
                                <description>
                                            <![CDATA[<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09448-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p>️ Episode:<br />200: 200: Sperm Sequencing Reveals Extensive Positive Selection in the Male Germline</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Sperm sequencing reveals extensive positive selection in the male germline</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing (i) mutation rates in sperm vs blood, (ii) NanoSeq/duplex sequencing methodology and error correction, (iii) positive selection in the male germline including gene count and LOF/activating mechanisms, (iv) RAS–MAPK pathway involvement, (v) disease risk implications and paternal ag<br />- transcript topics: Sperm mutation rates and somatic comparison; NanoSeq/duplex sequencing methodology and error correction; Positive selection in the male germline: gene count and mutation mechanisms; Loss-of-function vs activating mutations and RAS–MAPK pathway; Disease risk implications and paternal age effects; Study limitations and boundaries of NanoSeq (variant types detected)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Baseline sperm mutation rate: 1.67 substitutions per year per haploid genome<br />- Sperm accumulate mutations ~8x slower than in blood<br />- Number of genes under significant positive selection: 40 (31 newly identified)<br />- Loss-of-function mutations are common among positively selected genes; many in the RAS–MAPK pathway<br />- Positive selection drives 2–3x increased risk of disease-causing mutations<br />- 3–5% of sperm from middle-aged to older individuals carry a pathogenic mutation across the exome</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[ Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09448-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
️ Episode:200: 200: Sperm Sequencing Reveals Extensive Positive Selection in the Male Germline
️ Season:1
 Article title:Sperm sequencing reveals extensive positive selection in the male germline
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing (i) mutation rates in sperm vs blood, (ii) NanoSeq/duplex sequencing methodology and error correction, (iii) positive selection in the male germline including gene count and LOF/activating mechanisms, (iv) RAS–MAPK pathway involvement, (v) disease risk implications and paternal ag- transcript topics: Sperm mutation rates and somatic comparison; NanoSeq/duplex sequencing methodology and error correction; Positive selection in the male germline: gene count and mutation mechanisms; Loss-of-function vs activating mutations and RAS–MAPK pathway; Disease risk implications and paternal age effects; Study limitations and boundaries of NanoSeq (variant types detected)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Baseline sperm mutation rate: 1.67 substitutions per year per haploid genome- Sperm accumulate mutations ~8x slower than in blood- Number of genes under significant positive selection: 40 (31 newly identified)- Loss-of-function mutations are common among positively selected genes; many in the RAS–MAPK pathway- Positive selection drives 2–3x increased risk of disease-causing mutations- 3–5% of sperm from middle-aged to older individuals carry a pathogenic mutation across the exome
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[200: Sperm Sequencing Reveals Extensive Positive Selection in the Male Germline]]>
                </itunes:title>
                                    <itunes:episode>200</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> DOI:<br />10.1038/s41586-025-09448-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p>️ Episode:<br />200: 200: Sperm Sequencing Reveals Extensive Positive Selection in the Male Germline</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Sperm sequencing reveals extensive positive selection in the male germline</p>
<p> Journal:<br />Nature</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections describing (i) mutation rates in sperm vs blood, (ii) NanoSeq/duplex sequencing methodology and error correction, (iii) positive selection in the male germline including gene count and LOF/activating mechanisms, (iv) RAS–MAPK pathway involvement, (v) disease risk implications and paternal ag<br />- transcript topics: Sperm mutation rates and somatic comparison; NanoSeq/duplex sequencing methodology and error correction; Positive selection in the male germline: gene count and mutation mechanisms; Loss-of-function vs activating mutations and RAS–MAPK pathway; Disease risk implications and paternal age effects; Study limitations and boundaries of NanoSeq (variant types detected)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Baseline sperm mutation rate: 1.67 substitutions per year per haploid genome<br />- Sperm accumulate mutations ~8x slower than in blood<br />- Number of genes under significant positive selection: 40 (31 newly identified)<br />- Loss-of-function mutations are common among positively selected genes; many in the RAS–MAPK pathway<br />- Positive selection drives 2–3x increased risk of disease-causing mutations<br />- 3–5% of sperm from middle-aged to older individuals carry a pathogenic mutation across the exome</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[ Music:Enjoy the music based on this article at the end of the episode.
 DOI:10.1038/s41586-025-09448-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
️ Episode:200: 200: Sperm Sequencing Reveals Extensive Positive Selection in the Male Germline
️ Season:1
 Article title:Sperm sequencing reveals extensive positive selection in the male germline
 Journal:Nature
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections describing (i) mutation rates in sperm vs blood, (ii) NanoSeq/duplex sequencing methodology and error correction, (iii) positive selection in the male germline including gene count and LOF/activating mechanisms, (iv) RAS–MAPK pathway involvement, (v) disease risk implications and paternal ag- transcript topics: Sperm mutation rates and somatic comparison; NanoSeq/duplex sequencing methodology and error correction; Positive selection in the male germline: gene count and mutation mechanisms; Loss-of-function vs activating mutations and RAS–MAPK pathway; Disease risk implications and paternal age effects; Study limitations and boundaries of NanoSeq (variant types detected)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Baseline sperm mutation rate: 1.67 substitutions per year per haploid genome- Sperm accumulate mutations ~8x slower than in blood- Number of genes under significant positive selection: 40 (31 newly identified)- Loss-of-function mutations are common among positively selected genes; many in the RAS–MAPK pathway- Positive selection drives 2–3x increased risk of disease-causing mutations- 3–5% of sperm from middle-aged to older individuals carry a pathogenic mutation across the exome
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2217460/c1a-p6xp7-ok03o56nho26-wlorig.png"></itunes:image>
                                                                            <itunes:duration>00:18:48</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[199: PLD4 Deficiency and Lupus: When Nuclease Failure Ignites Autoimmunity]]>
                </title>
                <pubDate>Sat, 15 Nov 2025 10:56:47 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2212509</guid>
                                    <link>https://basebybase.castos.com/episodes/pld4-deficiency-and-lupus-when-nuclease-failure-ignites-autoimmunity</link>
                                <description>
                                            <![CDATA[<p>PLD4 Deficiency and Lupus: When Nuclease Failure Ignites Autoimmunity</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pld4-deficiency-and-lupus-when-nuclease-failure-ignites-autoimmunity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific narrative in the transcript describing PLD4 mutations, endosomal nucleic acid sensing, exonuclease impairment, single-cell analyses (scRNA-seq and CyTOF), Pld4−/− mice, and baricitinib/JAK-STAT therapeutic implications.<br />- transcript topics: PLD4 mutations and monogenic lupus; Endosomal nucleic acid sensing: TLR7/9 pathways and IFN signaling; PLD4 exonuclease activity assays (in vitro and ex vivo); scRNA-seq of patient PBMCs (DCs/monocytes) and IFN/TLR signatures; CyTOF cytokine profiling in PBMCs; Pld4−/− mouse autoimmunity and nephritis with pDC/plasma cell expansion</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Five SLE patients carrying biallelic PLD4 mutations were identified.<br />- PLD4 functions as a 5′ exonuclease that cleaves ssDNA and ssRNA in endosomes to limit TLR7/9 signaling.<br />- Mutations in PLD4 impair exonuclease activity in vitro (loss of catalytic function observed for patient-derived variants).<br />- scRNA-seq and CyTOF show IFN/TLR pathway activation predominantly in dendritic cells and monocytes.<br />- Pld4−/− mice display autoimmunity and nephritis with expansion of plasmacytoid dendritic cells (pDCs) and plasma cells.<br />- Baricitinib (a JAK inhibitor) reduces type I IFN signaling and rescues phenotypes in PLD4-deficient models (mice and patient-derived cells).</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[PLD4 Deficiency and Lupus: When Nuclease Failure Ignites Autoimmunity
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pld4-deficiency-and-lupus-when-nuclease-failure-ignites-autoimmunity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific narrative in the transcript describing PLD4 mutations, endosomal nucleic acid sensing, exonuclease impairment, single-cell analyses (scRNA-seq and CyTOF), Pld4−/− mice, and baricitinib/JAK-STAT therapeutic implications.- transcript topics: PLD4 mutations and monogenic lupus; Endosomal nucleic acid sensing: TLR7/9 pathways and IFN signaling; PLD4 exonuclease activity assays (in vitro and ex vivo); scRNA-seq of patient PBMCs (DCs/monocytes) and IFN/TLR signatures; CyTOF cytokine profiling in PBMCs; Pld4−/− mouse autoimmunity and nephritis with pDC/plasma cell expansion
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Five SLE patients carrying biallelic PLD4 mutations were identified.- PLD4 functions as a 5′ exonuclease that cleaves ssDNA and ssRNA in endosomes to limit TLR7/9 signaling.- Mutations in PLD4 impair exonuclease activity in vitro (loss of catalytic function observed for patient-derived variants).- scRNA-seq and CyTOF show IFN/TLR pathway activation predominantly in dendritic cells and monocytes.- Pld4−/− mice display autoimmunity and nephritis with expansion of plasmacytoid dendritic cells (pDCs) and plasma cells.- Baricitinib (a JAK inhibitor) reduces type I IFN signaling and rescues phenotypes in PLD4-deficient models (mice and patient-derived cells).
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[199: PLD4 Deficiency and Lupus: When Nuclease Failure Ignites Autoimmunity]]>
                </itunes:title>
                                    <itunes:episode>199</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>PLD4 Deficiency and Lupus: When Nuclease Failure Ignites Autoimmunity</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pld4-deficiency-and-lupus-when-nuclease-failure-ignites-autoimmunity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific narrative in the transcript describing PLD4 mutations, endosomal nucleic acid sensing, exonuclease impairment, single-cell analyses (scRNA-seq and CyTOF), Pld4−/− mice, and baricitinib/JAK-STAT therapeutic implications.<br />- transcript topics: PLD4 mutations and monogenic lupus; Endosomal nucleic acid sensing: TLR7/9 pathways and IFN signaling; PLD4 exonuclease activity assays (in vitro and ex vivo); scRNA-seq of patient PBMCs (DCs/monocytes) and IFN/TLR signatures; CyTOF cytokine profiling in PBMCs; Pld4−/− mouse autoimmunity and nephritis with pDC/plasma cell expansion</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Five SLE patients carrying biallelic PLD4 mutations were identified.<br />- PLD4 functions as a 5′ exonuclease that cleaves ssDNA and ssRNA in endosomes to limit TLR7/9 signaling.<br />- Mutations in PLD4 impair exonuclease activity in vitro (loss of catalytic function observed for patient-derived variants).<br />- scRNA-seq and CyTOF show IFN/TLR pathway activation predominantly in dendritic cells and monocytes.<br />- Pld4−/− mice display autoimmunity and nephritis with expansion of plasmacytoid dendritic cells (pDCs) and plasma cells.<br />- Baricitinib (a JAK inhibitor) reduces type I IFN signaling and rescues phenotypes in PLD4-deficient models (mice and patient-derived cells).</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[PLD4 Deficiency and Lupus: When Nuclease Failure Ignites Autoimmunity
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pld4-deficiency-and-lupus-when-nuclease-failure-ignites-autoimmunity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific narrative in the transcript describing PLD4 mutations, endosomal nucleic acid sensing, exonuclease impairment, single-cell analyses (scRNA-seq and CyTOF), Pld4−/− mice, and baricitinib/JAK-STAT therapeutic implications.- transcript topics: PLD4 mutations and monogenic lupus; Endosomal nucleic acid sensing: TLR7/9 pathways and IFN signaling; PLD4 exonuclease activity assays (in vitro and ex vivo); scRNA-seq of patient PBMCs (DCs/monocytes) and IFN/TLR signatures; CyTOF cytokine profiling in PBMCs; Pld4−/− mouse autoimmunity and nephritis with pDC/plasma cell expansion
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Five SLE patients carrying biallelic PLD4 mutations were identified.- PLD4 functions as a 5′ exonuclease that cleaves ssDNA and ssRNA in endosomes to limit TLR7/9 signaling.- Mutations in PLD4 impair exonuclease activity in vitro (loss of catalytic function observed for patient-derived variants).- scRNA-seq and CyTOF show IFN/TLR pathway activation predominantly in dendritic cells and monocytes.- Pld4−/− mice display autoimmunity and nephritis with expansion of plasmacytoid dendritic cells (pDCs) and plasma cells.- Baricitinib (a JAK inhibitor) reduces type I IFN signaling and rescues phenotypes in PLD4-deficient models (mice and patient-derived cells).
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2212509/c1a-p6xp7-v6vzgrqkcpx8-kznioa.png"></itunes:image>
                                                                            <itunes:duration>00:13:57</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[198: Mechanical Confinement and the Shape-Shifting Life of Melanoma Cells]]>
                </title>
                <pubDate>Fri, 14 Nov 2025 11:57:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2209358</guid>
                                    <link>https://basebybase.castos.com/episodes/mechanical-confinement-and-the-shape-shifting-life-of-melanoma-cells</link>
                                <description>
                                            <![CDATA[<p>Mechanical Confinement and the Shape-Shifting Life of Melanoma Cells</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mechanical-confinement-and-the-shape-shifting-life-of-melanoma-cells</p>
<p>️ Episode:<br />198: Mechanical Confinement and the Shape-Shifting Life of Melanoma Cells</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Mechanical confinement governs phenotypic plasticity in melanoma</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09445-6</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and themes described in the transcript: confinement-driven phenotype switching (go-or-grow), HMGB2-mediated chromatin remodeling, cytoskeletal (acetylated tubulin cage) remodeling, Nesprin2/LINC association, Notch/BRN2 axis in invasion, and drug-tolerance implications.<br />- transcript topics: Confinement-driven phenotype switching (go-or-grow); Neuronal invasion gene program and MITF suppression; HMGB2 upregulation and chromatin remodeling; Perinuclear acetylated tubulin cage and ATAT1 involvement; Nesprin2 (SYNE2) and LINC complex in HMGB2 enrichment; Nuclear stiffening via Lamin A/C</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Confinement induces neuronal invasion program and MITF downregulation (SOX11, NEUROD1, NNAT, NEFM upregulation; MITF downregulation)<br />- HMGB2 upregulation is induced by confinement and HMGB2 concentration increases (approximately doubles) under confinement<br />- Confinement triggers assembly of a perinuclear acetylated tubulin cage; ATAT1 mediates tubulin acetylation<br />- Nesprin2 (SYNE2) is required for HMGB2 enrichment and for perinuclear cage assembly<br />- HMGB2 increases chromatin accessibility at neural crest/neuronal loci; AP-1 and SOX9 motifs enriched<br />- Notch signaling and BRN2 axis mediate HMGB2-driven invasion</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Mechanical Confinement and the Shape-Shifting Life of Melanoma Cells
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mechanical-confinement-and-the-shape-shifting-life-of-melanoma-cells
️ Episode:198: Mechanical Confinement and the Shape-Shifting Life of Melanoma Cells
️ Season:1
 Article title:Mechanical confinement governs phenotypic plasticity in melanoma
 Journal:Nature
 DOI:10.1038/s41586-025-09445-6
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and themes described in the transcript: confinement-driven phenotype switching (go-or-grow), HMGB2-mediated chromatin remodeling, cytoskeletal (acetylated tubulin cage) remodeling, Nesprin2/LINC association, Notch/BRN2 axis in invasion, and drug-tolerance implications.- transcript topics: Confinement-driven phenotype switching (go-or-grow); Neuronal invasion gene program and MITF suppression; HMGB2 upregulation and chromatin remodeling; Perinuclear acetylated tubulin cage and ATAT1 involvement; Nesprin2 (SYNE2) and LINC complex in HMGB2 enrichment; Nuclear stiffening via Lamin A/C
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Confinement induces neuronal invasion program and MITF downregulation (SOX11, NEUROD1, NNAT, NEFM upregulation; MITF downregulation)- HMGB2 upregulation is induced by confinement and HMGB2 concentration increases (approximately doubles) under confinement- Confinement triggers assembly of a perinuclear acetylated tubulin cage; ATAT1 mediates tubulin acetylation- Nesprin2 (SYNE2) is required for HMGB2 enrichment and for perinuclear cage assembly- HMGB2 increases chromatin accessibility at neural crest/neuronal loci; AP-1 and SOX9 motifs enriched- Notch signaling and BRN2 axis mediate HMGB2-driven invasion
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[198: Mechanical Confinement and the Shape-Shifting Life of Melanoma Cells]]>
                </itunes:title>
                                    <itunes:episode>198</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Mechanical Confinement and the Shape-Shifting Life of Melanoma Cells</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mechanical-confinement-and-the-shape-shifting-life-of-melanoma-cells</p>
<p>️ Episode:<br />198: Mechanical Confinement and the Shape-Shifting Life of Melanoma Cells</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Mechanical confinement governs phenotypic plasticity in melanoma</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09445-6</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and themes described in the transcript: confinement-driven phenotype switching (go-or-grow), HMGB2-mediated chromatin remodeling, cytoskeletal (acetylated tubulin cage) remodeling, Nesprin2/LINC association, Notch/BRN2 axis in invasion, and drug-tolerance implications.<br />- transcript topics: Confinement-driven phenotype switching (go-or-grow); Neuronal invasion gene program and MITF suppression; HMGB2 upregulation and chromatin remodeling; Perinuclear acetylated tubulin cage and ATAT1 involvement; Nesprin2 (SYNE2) and LINC complex in HMGB2 enrichment; Nuclear stiffening via Lamin A/C</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Confinement induces neuronal invasion program and MITF downregulation (SOX11, NEUROD1, NNAT, NEFM upregulation; MITF downregulation)<br />- HMGB2 upregulation is induced by confinement and HMGB2 concentration increases (approximately doubles) under confinement<br />- Confinement triggers assembly of a perinuclear acetylated tubulin cage; ATAT1 mediates tubulin acetylation<br />- Nesprin2 (SYNE2) is required for HMGB2 enrichment and for perinuclear cage assembly<br />- HMGB2 increases chromatin accessibility at neural crest/neuronal loci; AP-1 and SOX9 motifs enriched<br />- Notch signaling and BRN2 axis mediate HMGB2-driven invasion</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Mechanical Confinement and the Shape-Shifting Life of Melanoma Cells
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mechanical-confinement-and-the-shape-shifting-life-of-melanoma-cells
️ Episode:198: Mechanical Confinement and the Shape-Shifting Life of Melanoma Cells
️ Season:1
 Article title:Mechanical confinement governs phenotypic plasticity in melanoma
 Journal:Nature
 DOI:10.1038/s41586-025-09445-6
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and themes described in the transcript: confinement-driven phenotype switching (go-or-grow), HMGB2-mediated chromatin remodeling, cytoskeletal (acetylated tubulin cage) remodeling, Nesprin2/LINC association, Notch/BRN2 axis in invasion, and drug-tolerance implications.- transcript topics: Confinement-driven phenotype switching (go-or-grow); Neuronal invasion gene program and MITF suppression; HMGB2 upregulation and chromatin remodeling; Perinuclear acetylated tubulin cage and ATAT1 involvement; Nesprin2 (SYNE2) and LINC complex in HMGB2 enrichment; Nuclear stiffening via Lamin A/C
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Confinement induces neuronal invasion program and MITF downregulation (SOX11, NEUROD1, NNAT, NEFM upregulation; MITF downregulation)- HMGB2 upregulation is induced by confinement and HMGB2 concentration increases (approximately doubles) under confinement- Confinement triggers assembly of a perinuclear acetylated tubulin cage; ATAT1 mediates tubulin acetylation- Nesprin2 (SYNE2) is required for HMGB2 enrichment and for perinuclear cage assembly- HMGB2 increases chromatin accessibility at neural crest/neuronal loci; AP-1 and SOX9 motifs enriched- Notch signaling and BRN2 axis mediate HMGB2-driven invasion
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2209358/c1a-p6xp7-xxk82n69ix6-fmkb6b.png"></itunes:image>
                                                                            <itunes:duration>00:15:47</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[197: Somatic Mutation and Selection at Population Scale]]>
                </title>
                <pubDate>Thu, 13 Nov 2025 23:28:23 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2209208</guid>
                                    <link>https://basebybase.castos.com/episodes/somatic-mutation-and-selection-at-population-scale</link>
                                <description>
                                            <![CDATA[<p>Somatic Mutation and Selection at Population Scale</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/somatic-mutation-and-selection-at-population-scale</p>
<p>️ Episode:<br />197: Somatic Mutation and Selection at Population Scale</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Somatic mutation and selection at population scale</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09584-w</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited spoken content for alignment with the article's main findings: NanoSeq methodology and ultra-low error sequencing; age-related somatic mutation accumulation in oral epithelium; driver landscape (NOTCH1, TP53, FAT1); in vivo saturation mutagenesis and hotspots (TP53 DNA-binding domain; RAC1); clonal growth dynam<br />- transcript topics: NanoSeq methodology and ultra-low error sequencing; Age-related somatic mutation accumulation in oral epithelium; Driver landscape and positive selection in oral epithelium; In vivo saturation mutagenesis and hotspot mapping (TP53 DNA-binding domain; RAC1 GTP-binding pocket); Clonal growth dynamics and tissue architectural plateau; Alcohol-related mutational signatures and ALDH2 genetics</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- NanoSeq achieves error rate below five errors per billion base pairs<br />- Age-related somatic mutation accumulation in oral epithelium ~18 SNVs per cell per year<br />- Driver landscape includes 46 genes under positive selection and &gt;62,000 driver mutations in oral epithelium<br />- NOTCH1, TP53 and FAT1 are among strongest driver genes in oral epithelium<br />- Approximately 10–20% of cheek cells carry a driver mutation in older individuals<br />- In vivo saturation mutagenesis identifies hotspots in TP53 DNA-binding domain and RAC1 GTP-binding pocket</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Somatic Mutation and Selection at Population Scale
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/somatic-mutation-and-selection-at-population-scale
️ Episode:197: Somatic Mutation and Selection at Population Scale
️ Season:1
 Article title:Somatic mutation and selection at population scale
 Journal:Nature
 DOI:10.1038/s41586-025-09584-w
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited spoken content for alignment with the article's main findings: NanoSeq methodology and ultra-low error sequencing; age-related somatic mutation accumulation in oral epithelium; driver landscape (NOTCH1, TP53, FAT1); in vivo saturation mutagenesis and hotspots (TP53 DNA-binding domain; RAC1); clonal growth dynam- transcript topics: NanoSeq methodology and ultra-low error sequencing; Age-related somatic mutation accumulation in oral epithelium; Driver landscape and positive selection in oral epithelium; In vivo saturation mutagenesis and hotspot mapping (TP53 DNA-binding domain; RAC1 GTP-binding pocket); Clonal growth dynamics and tissue architectural plateau; Alcohol-related mutational signatures and ALDH2 genetics
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- NanoSeq achieves error rate below five errors per billion base pairs- Age-related somatic mutation accumulation in oral epithelium ~18 SNVs per cell per year- Driver landscape includes 46 genes under positive selection and >62,000 driver mutations in oral epithelium- NOTCH1, TP53 and FAT1 are among strongest driver genes in oral epithelium- Approximately 10–20% of cheek cells carry a driver mutation in older individuals- In vivo saturation mutagenesis identifies hotspots in TP53 DNA-binding domain and RAC1 GTP-binding pocket
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[197: Somatic Mutation and Selection at Population Scale]]>
                </itunes:title>
                                    <itunes:episode>197</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Somatic Mutation and Selection at Population Scale</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/somatic-mutation-and-selection-at-population-scale</p>
<p>️ Episode:<br />197: Somatic Mutation and Selection at Population Scale</p>
<p>️ Season:<br />1</p>
<p> Article title:<br />Somatic mutation and selection at population scale</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09584-w</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited spoken content for alignment with the article's main findings: NanoSeq methodology and ultra-low error sequencing; age-related somatic mutation accumulation in oral epithelium; driver landscape (NOTCH1, TP53, FAT1); in vivo saturation mutagenesis and hotspots (TP53 DNA-binding domain; RAC1); clonal growth dynam<br />- transcript topics: NanoSeq methodology and ultra-low error sequencing; Age-related somatic mutation accumulation in oral epithelium; Driver landscape and positive selection in oral epithelium; In vivo saturation mutagenesis and hotspot mapping (TP53 DNA-binding domain; RAC1 GTP-binding pocket); Clonal growth dynamics and tissue architectural plateau; Alcohol-related mutational signatures and ALDH2 genetics</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- NanoSeq achieves error rate below five errors per billion base pairs<br />- Age-related somatic mutation accumulation in oral epithelium ~18 SNVs per cell per year<br />- Driver landscape includes 46 genes under positive selection and &gt;62,000 driver mutations in oral epithelium<br />- NOTCH1, TP53 and FAT1 are among strongest driver genes in oral epithelium<br />- Approximately 10–20% of cheek cells carry a driver mutation in older individuals<br />- In vivo saturation mutagenesis identifies hotspots in TP53 DNA-binding domain and RAC1 GTP-binding pocket</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Somatic Mutation and Selection at Population Scale
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/somatic-mutation-and-selection-at-population-scale
️ Episode:197: Somatic Mutation and Selection at Population Scale
️ Season:1
 Article title:Somatic mutation and selection at population scale
 Journal:Nature
 DOI:10.1038/s41586-025-09584-w
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited spoken content for alignment with the article's main findings: NanoSeq methodology and ultra-low error sequencing; age-related somatic mutation accumulation in oral epithelium; driver landscape (NOTCH1, TP53, FAT1); in vivo saturation mutagenesis and hotspots (TP53 DNA-binding domain; RAC1); clonal growth dynam- transcript topics: NanoSeq methodology and ultra-low error sequencing; Age-related somatic mutation accumulation in oral epithelium; Driver landscape and positive selection in oral epithelium; In vivo saturation mutagenesis and hotspot mapping (TP53 DNA-binding domain; RAC1 GTP-binding pocket); Clonal growth dynamics and tissue architectural plateau; Alcohol-related mutational signatures and ALDH2 genetics
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- NanoSeq achieves error rate below five errors per billion base pairs- Age-related somatic mutation accumulation in oral epithelium ~18 SNVs per cell per year- Driver landscape includes 46 genes under positive selection and >62,000 driver mutations in oral epithelium- NOTCH1, TP53 and FAT1 are among strongest driver genes in oral epithelium- Approximately 10–20% of cheek cells carry a driver mutation in older individuals- In vivo saturation mutagenesis identifies hotspots in TP53 DNA-binding domain and RAC1 GTP-binding pocket
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2209208/c1a-p6xp7-dmj5g9rmino-b3bdan.png"></itunes:image>
                                                                            <itunes:duration>00:15:11</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[196: Impact of Chromatin Accessibility QTLs Across Immune Contexts]]>
                </title>
                <pubDate>Wed, 12 Nov 2025 09:04:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2203925</guid>
                                    <link>https://basebybase.castos.com/episodes/impact-of-chromatin-accessibility-qtls-across-immune-contexts</link>
                                <description>
                                            <![CDATA[<p>Impact of Chromatin Accessibility QTLs Across Immune Contexts</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/impact-of-chromatin-accessibility-qtls-across-immune-contexts</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core caQTL biology and context: PBMC-wide caQTL mapping; dynamic caQTLs along cell trajectories; COVID-19 contexts and heritability enrichment; caQTL–eQTL–GWAS integration; ABC-based distal linking; CARD9 case in monocytes; emphasis on triple convergence for causal inference.<br />- transcript topics: Single-cell caQTL mapping in PBMCs across healthy, COVID-19, convalescent; caQTL–eQTL–GWAS integration and interpretability; Topic modeling and cell-state trajectories of caQTLs; Dynamic caQTLs during activation (k17 CD8 TEM); COVID-19 cellular context and heritability enrichment; Distal caQTLs and ABC-based enhancer–gene linking</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- caQTL count across PBMCs: 37,390<br />- dynamic caQTLs identified: 4,200<br />- caQTL sharing: less than 20% confined to a single context<br />- increase in GWAS-loci explainable when incorporating caQTLs (from ~32.9% to ~57.3%)<br />- COVID-19 cell-state k17 enriched for disease-relevant heritability (severe COVID-19)<br />- triple convergence (GWAS locus + caQTL + eQTL) in the same cellular context</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Impact of Chromatin Accessibility QTLs Across Immune Contexts
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/impact-of-chromatin-accessibility-qtls-across-immune-contexts
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core caQTL biology and context: PBMC-wide caQTL mapping; dynamic caQTLs along cell trajectories; COVID-19 contexts and heritability enrichment; caQTL–eQTL–GWAS integration; ABC-based distal linking; CARD9 case in monocytes; emphasis on triple convergence for causal inference.- transcript topics: Single-cell caQTL mapping in PBMCs across healthy, COVID-19, convalescent; caQTL–eQTL–GWAS integration and interpretability; Topic modeling and cell-state trajectories of caQTLs; Dynamic caQTLs during activation (k17 CD8 TEM); COVID-19 cellular context and heritability enrichment; Distal caQTLs and ABC-based enhancer–gene linking
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- caQTL count across PBMCs: 37,390- dynamic caQTLs identified: 4,200- caQTL sharing: less than 20% confined to a single context- increase in GWAS-loci explainable when incorporating caQTLs (from ~32.9% to ~57.3%)- COVID-19 cell-state k17 enriched for disease-relevant heritability (severe COVID-19)- triple convergence (GWAS locus + caQTL + eQTL) in the same cellular context
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[196: Impact of Chromatin Accessibility QTLs Across Immune Contexts]]>
                </itunes:title>
                                    <itunes:episode>196</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Impact of Chromatin Accessibility QTLs Across Immune Contexts</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/impact-of-chromatin-accessibility-qtls-across-immune-contexts</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core caQTL biology and context: PBMC-wide caQTL mapping; dynamic caQTLs along cell trajectories; COVID-19 contexts and heritability enrichment; caQTL–eQTL–GWAS integration; ABC-based distal linking; CARD9 case in monocytes; emphasis on triple convergence for causal inference.<br />- transcript topics: Single-cell caQTL mapping in PBMCs across healthy, COVID-19, convalescent; caQTL–eQTL–GWAS integration and interpretability; Topic modeling and cell-state trajectories of caQTLs; Dynamic caQTLs during activation (k17 CD8 TEM); COVID-19 cellular context and heritability enrichment; Distal caQTLs and ABC-based enhancer–gene linking</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- caQTL count across PBMCs: 37,390<br />- dynamic caQTLs identified: 4,200<br />- caQTL sharing: less than 20% confined to a single context<br />- increase in GWAS-loci explainable when incorporating caQTLs (from ~32.9% to ~57.3%)<br />- COVID-19 cell-state k17 enriched for disease-relevant heritability (severe COVID-19)<br />- triple convergence (GWAS locus + caQTL + eQTL) in the same cellular context</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Impact of Chromatin Accessibility QTLs Across Immune Contexts
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/impact-of-chromatin-accessibility-qtls-across-immune-contexts
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core caQTL biology and context: PBMC-wide caQTL mapping; dynamic caQTLs along cell trajectories; COVID-19 contexts and heritability enrichment; caQTL–eQTL–GWAS integration; ABC-based distal linking; CARD9 case in monocytes; emphasis on triple convergence for causal inference.- transcript topics: Single-cell caQTL mapping in PBMCs across healthy, COVID-19, convalescent; caQTL–eQTL–GWAS integration and interpretability; Topic modeling and cell-state trajectories of caQTLs; Dynamic caQTLs during activation (k17 CD8 TEM); COVID-19 cellular context and heritability enrichment; Distal caQTLs and ABC-based enhancer–gene linking
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- caQTL count across PBMCs: 37,390- dynamic caQTLs identified: 4,200- caQTL sharing: less than 20% confined to a single context- increase in GWAS-loci explainable when incorporating caQTLs (from ~32.9% to ~57.3%)- COVID-19 cell-state k17 enriched for disease-relevant heritability (severe COVID-19)- triple convergence (GWAS locus + caQTL + eQTL) in the same cellular context
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2203925/c1a-p6xp7-0v02z3wpfkx7-iuaskw.png"></itunes:image>
                                                                            <itunes:duration>00:16:37</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[195: Tiny Shields: Lymphoid Microglia in Alzheimer’s Disease]]>
                </title>
                <pubDate>Tue, 11 Nov 2025 09:16:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2202564</guid>
                                    <link>https://basebybase.castos.com/episodes/tiny-shields-lymphoid-microglia</link>
                                <description>
                                            <![CDATA[<p>️ Episode 195: Tiny Shields: Lymphoid Microglia in Alzheimer’s Disease</p>
<p><br />  In this episode of PaperCast Base by Base, we explore how a subset of brain immune cells adopts a lymphoid-like program that helps contain inflammation and protect neural circuits in Alzheimer’s disease models.</p>
<p><br />  Study Highlights:<br /> Using mouse models of amyloid pathology and human Alzheimer’s brain tissue, the authors identify plaque-associated microglia with reduced PU.1 expression that cluster around deposits and express an unexpected set of lymphoid receptors, including CD28. By genetically tuning PU.1 levels specifically in microglia, they show that lowering PU.1 is sufficient to trigger this lymphoid-like transcriptional program, remodel chromatin and generate microglia that compact amyloid plaques, limit tau aggregation and preserve synapses, plasticity and behaviour. These PU.1low microglia display fewer type I interferon and complement signatures, accumulate fewer lipid droplets and extend survival in Alzheimer’s model mice, indicating a broadly neuroprotective state. In contrast, microglia-specific deletion of CD28 amplifies amyloid burden and drives a widespread pro-inflammatory interferon response in the microglial pool, suggesting that a small CD28+ subset exerts outsized control over brain inflammation. Human genetic data further link a PU.1-lowering SPI1 allele with increased abundance of lymphoid-like microglia, supporting the relevance of this protective program in people with Alzheimer’s disease.</p>
<p><br />  Conclusion:<br /> This work positions PU.1-tuned, CD28-expressing microglia as critical regulators of neuroinflammation and suggests that selectively boosting their lymphoid-style “checkpoint” signals could inspire new immunotherapy strategies for Alzheimer’s disease.</p>
<p><br />  Music:<br /> Enjoy the music based on this article at the end of the episode.</p>
<p><br />  Reference:<br /> Ayata P, Crowley JM, Challman MF, et al. Lymphoid gene expression supports neuroprotective microglia function. Nature. 2025. <a class="decorated-link" title="https://doi.org/10.1038/s41586-025-09662-z" href="https://doi.org/10.1038/s41586-025-09662-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41586-025-09662-z</a>.</p>
<p> License:<br /> This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a class="decorated-link" title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br /> If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a class="decorated-link" title="https://basebybase.com/" href="https://basebybase.com/" target="_blank" rel="noreferrer noopener">https://basebybase.com/</a></p>
<p><br /> On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 195: Tiny Shields: Lymphoid Microglia in Alzheimer’s Disease
  In this episode of PaperCast Base by Base, we explore how a subset of brain immune cells adopts a lymphoid-like program that helps contain inflammation and protect neural circuits in Alzheimer’s disease models.
  Study Highlights: Using mouse models of amyloid pathology and human Alzheimer’s brain tissue, the authors identify plaque-associated microglia with reduced PU.1 expression that cluster around deposits and express an unexpected set of lymphoid receptors, including CD28. By genetically tuning PU.1 levels specifically in microglia, they show that lowering PU.1 is sufficient to trigger this lymphoid-like transcriptional program, remodel chromatin and generate microglia that compact amyloid plaques, limit tau aggregation and preserve synapses, plasticity and behaviour. These PU.1low microglia display fewer type I interferon and complement signatures, accumulate fewer lipid droplets and extend survival in Alzheimer’s model mice, indicating a broadly neuroprotective state. In contrast, microglia-specific deletion of CD28 amplifies amyloid burden and drives a widespread pro-inflammatory interferon response in the microglial pool, suggesting that a small CD28+ subset exerts outsized control over brain inflammation. Human genetic data further link a PU.1-lowering SPI1 allele with increased abundance of lymphoid-like microglia, supporting the relevance of this protective program in people with Alzheimer’s disease.
  Conclusion: This work positions PU.1-tuned, CD28-expressing microglia as critical regulators of neuroinflammation and suggests that selectively boosting their lymphoid-style “checkpoint” signals could inspire new immunotherapy strategies for Alzheimer’s disease.
  Music: Enjoy the music based on this article at the end of the episode.
  Reference: Ayata P, Crowley JM, Challman MF, et al. Lymphoid gene expression supports neuroprotective microglia function. Nature. 2025. https://doi.org/10.1038/s41586-025-09662-z.
 License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support: If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.com/
 On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[195: Tiny Shields: Lymphoid Microglia in Alzheimer’s Disease]]>
                </itunes:title>
                                    <itunes:episode>195</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 195: Tiny Shields: Lymphoid Microglia in Alzheimer’s Disease</p>
<p><br />  In this episode of PaperCast Base by Base, we explore how a subset of brain immune cells adopts a lymphoid-like program that helps contain inflammation and protect neural circuits in Alzheimer’s disease models.</p>
<p><br />  Study Highlights:<br /> Using mouse models of amyloid pathology and human Alzheimer’s brain tissue, the authors identify plaque-associated microglia with reduced PU.1 expression that cluster around deposits and express an unexpected set of lymphoid receptors, including CD28. By genetically tuning PU.1 levels specifically in microglia, they show that lowering PU.1 is sufficient to trigger this lymphoid-like transcriptional program, remodel chromatin and generate microglia that compact amyloid plaques, limit tau aggregation and preserve synapses, plasticity and behaviour. These PU.1low microglia display fewer type I interferon and complement signatures, accumulate fewer lipid droplets and extend survival in Alzheimer’s model mice, indicating a broadly neuroprotective state. In contrast, microglia-specific deletion of CD28 amplifies amyloid burden and drives a widespread pro-inflammatory interferon response in the microglial pool, suggesting that a small CD28+ subset exerts outsized control over brain inflammation. Human genetic data further link a PU.1-lowering SPI1 allele with increased abundance of lymphoid-like microglia, supporting the relevance of this protective program in people with Alzheimer’s disease.</p>
<p><br />  Conclusion:<br /> This work positions PU.1-tuned, CD28-expressing microglia as critical regulators of neuroinflammation and suggests that selectively boosting their lymphoid-style “checkpoint” signals could inspire new immunotherapy strategies for Alzheimer’s disease.</p>
<p><br />  Music:<br /> Enjoy the music based on this article at the end of the episode.</p>
<p><br />  Reference:<br /> Ayata P, Crowley JM, Challman MF, et al. Lymphoid gene expression supports neuroprotective microglia function. Nature. 2025. <a class="decorated-link" title="https://doi.org/10.1038/s41586-025-09662-z" href="https://doi.org/10.1038/s41586-025-09662-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41586-025-09662-z</a>.</p>
<p> License:<br /> This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a class="decorated-link" title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br /> If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a class="decorated-link" title="https://basebybase.com/" href="https://basebybase.com/" target="_blank" rel="noreferrer noopener">https://basebybase.com/</a></p>
<p><br /> On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2202564/c1e-n6z82cdgzrquo0on8-1p7ppn3xin8n-pjacmq.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2202564&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Ftiny-shields-lymphoid-microglia&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=6bc97aee468ad5cd82a112b2da787e319c5229bb5b99c834887f08c81c0c093b" length="26458028"
                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[️ Episode 195: Tiny Shields: Lymphoid Microglia in Alzheimer’s Disease
  In this episode of PaperCast Base by Base, we explore how a subset of brain immune cells adopts a lymphoid-like program that helps contain inflammation and protect neural circuits in Alzheimer’s disease models.
  Study Highlights: Using mouse models of amyloid pathology and human Alzheimer’s brain tissue, the authors identify plaque-associated microglia with reduced PU.1 expression that cluster around deposits and express an unexpected set of lymphoid receptors, including CD28. By genetically tuning PU.1 levels specifically in microglia, they show that lowering PU.1 is sufficient to trigger this lymphoid-like transcriptional program, remodel chromatin and generate microglia that compact amyloid plaques, limit tau aggregation and preserve synapses, plasticity and behaviour. These PU.1low microglia display fewer type I interferon and complement signatures, accumulate fewer lipid droplets and extend survival in Alzheimer’s model mice, indicating a broadly neuroprotective state. In contrast, microglia-specific deletion of CD28 amplifies amyloid burden and drives a widespread pro-inflammatory interferon response in the microglial pool, suggesting that a small CD28+ subset exerts outsized control over brain inflammation. Human genetic data further link a PU.1-lowering SPI1 allele with increased abundance of lymphoid-like microglia, supporting the relevance of this protective program in people with Alzheimer’s disease.
  Conclusion: This work positions PU.1-tuned, CD28-expressing microglia as critical regulators of neuroinflammation and suggests that selectively boosting their lymphoid-style “checkpoint” signals could inspire new immunotherapy strategies for Alzheimer’s disease.
  Music: Enjoy the music based on this article at the end of the episode.
  Reference: Ayata P, Crowley JM, Challman MF, et al. Lymphoid gene expression supports neuroprotective microglia function. Nature. 2025. https://doi.org/10.1038/s41586-025-09662-z.
 License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support: If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.com/
 On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2202564/c1a-p6xp7-wwpr4mvwu6dw-chi4ae.png"></itunes:image>
                                                                            <itunes:duration>00:18:22</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[194: Bayesian History of Science: Watson and Crick and the Structure of DNA]]>
                </title>
                <pubDate>Mon, 10 Nov 2025 09:04:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2201510</guid>
                                    <link>https://basebybase.castos.com/episodes/bayesian-history-watson-crick</link>
                                <description>
                                            <![CDATA[<p>️ Episode 194: Bayesian History of Science: Watson and Crick and the Structure of DNA</p>
<p>In this episode of PaperCast Base by Base, we explore how Bayesian reasoning can be used to reconstruct the famous discovery of the DNA double helix by James Watson and Francis Crick, following the sequence of structural models proposed in the early 1950s and the evolving evidence that supported or undermined each hypothesis.</p>
<p>Study Highlights:<br />The author applies a naïve Bayes framework to four competing models of DNA proposed by Watson, Crick, and Linus Pauling, treating each model as a target theory evaluated against multiple lines of historical evidence such as X-ray diffraction patterns, base pairing rules, symmetry constraints, and stereochemical feasibility. Conditional probabilities for how well each model accounts for each piece of evidence are manually estimated from historical sources using a simple five-point scale ranging from strongly inconsistent to strongly consistent, and combined with prior probabilities to calculate posteriors and likelihood ratios. By updating priors model by model, the study reconstructs how initial triple-helix proposals were progressively disconfirmed, while intermediate double-helix attempts with incorrect base pairing achieved only modest support despite offering a plausible replication mechanism. A dramatic jump in posterior probability and in the likelihood ratio is observed for the final Watson–Crick model with complementary purine–pyrimidine base pairing, consistent bond geometry, compliance with Chargaff’s rules, and correct symmetry, which the author interprets as a form of “Bayesian surprise” that matches scientists’ retrospective sense of having made a genuine discovery. The analysis also shows how “soft” considerations, such as analogy to Pauling’s alpha helix and the promise of an explanatory replication mechanism, can be incorporated alongside hard experimental data within a Bayesian account of theory choice in the history of science.</p>
<p>Conclusion:<br />This work argues that Bayesian analysis provides a coherent way to track how evidence and prior expectations jointly shaped the path from early speculative DNA models to the accepted double-helix structure, offering a quantitative complement to narrative histories of scientific discovery.</p>
<p>Reference:<br />Small H. Bayesian history of science: The case of Watson and Crick and the structure of DNA. Quantitative Science Studies. 2023;4(1):209–228. <a title="https://doi.org/10.1162/qss_a_00233" href="https://doi.org/10.1162/qss_a_00233" target="_blank" rel="noreferrer noopener">https://doi.org/10.1162/qss_a_00233</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.com/" href="https://basebybase.com/" target="_blank" rel="noreferrer noopener">https://basebybase.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 194: Bayesian History of Science: Watson and Crick and the Structure of DNA
In this episode of PaperCast Base by Base, we explore how Bayesian reasoning can be used to reconstruct the famous discovery of the DNA double helix by James Watson and Francis Crick, following the sequence of structural models proposed in the early 1950s and the evolving evidence that supported or undermined each hypothesis.
Study Highlights:The author applies a naïve Bayes framework to four competing models of DNA proposed by Watson, Crick, and Linus Pauling, treating each model as a target theory evaluated against multiple lines of historical evidence such as X-ray diffraction patterns, base pairing rules, symmetry constraints, and stereochemical feasibility. Conditional probabilities for how well each model accounts for each piece of evidence are manually estimated from historical sources using a simple five-point scale ranging from strongly inconsistent to strongly consistent, and combined with prior probabilities to calculate posteriors and likelihood ratios. By updating priors model by model, the study reconstructs how initial triple-helix proposals were progressively disconfirmed, while intermediate double-helix attempts with incorrect base pairing achieved only modest support despite offering a plausible replication mechanism. A dramatic jump in posterior probability and in the likelihood ratio is observed for the final Watson–Crick model with complementary purine–pyrimidine base pairing, consistent bond geometry, compliance with Chargaff’s rules, and correct symmetry, which the author interprets as a form of “Bayesian surprise” that matches scientists’ retrospective sense of having made a genuine discovery. The analysis also shows how “soft” considerations, such as analogy to Pauling’s alpha helix and the promise of an explanatory replication mechanism, can be incorporated alongside hard experimental data within a Bayesian account of theory choice in the history of science.
Conclusion:This work argues that Bayesian analysis provides a coherent way to track how evidence and prior expectations jointly shaped the path from early speculative DNA models to the accepted double-helix structure, offering a quantitative complement to narrative histories of scientific discovery.
Reference:Small H. Bayesian history of science: The case of Watson and Crick and the structure of DNA. Quantitative Science Studies. 2023;4(1):209–228. https://doi.org/10.1162/qss_a_00233
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[194: Bayesian History of Science: Watson and Crick and the Structure of DNA]]>
                </itunes:title>
                                    <itunes:episode>194</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 194: Bayesian History of Science: Watson and Crick and the Structure of DNA</p>
<p>In this episode of PaperCast Base by Base, we explore how Bayesian reasoning can be used to reconstruct the famous discovery of the DNA double helix by James Watson and Francis Crick, following the sequence of structural models proposed in the early 1950s and the evolving evidence that supported or undermined each hypothesis.</p>
<p>Study Highlights:<br />The author applies a naïve Bayes framework to four competing models of DNA proposed by Watson, Crick, and Linus Pauling, treating each model as a target theory evaluated against multiple lines of historical evidence such as X-ray diffraction patterns, base pairing rules, symmetry constraints, and stereochemical feasibility. Conditional probabilities for how well each model accounts for each piece of evidence are manually estimated from historical sources using a simple five-point scale ranging from strongly inconsistent to strongly consistent, and combined with prior probabilities to calculate posteriors and likelihood ratios. By updating priors model by model, the study reconstructs how initial triple-helix proposals were progressively disconfirmed, while intermediate double-helix attempts with incorrect base pairing achieved only modest support despite offering a plausible replication mechanism. A dramatic jump in posterior probability and in the likelihood ratio is observed for the final Watson–Crick model with complementary purine–pyrimidine base pairing, consistent bond geometry, compliance with Chargaff’s rules, and correct symmetry, which the author interprets as a form of “Bayesian surprise” that matches scientists’ retrospective sense of having made a genuine discovery. The analysis also shows how “soft” considerations, such as analogy to Pauling’s alpha helix and the promise of an explanatory replication mechanism, can be incorporated alongside hard experimental data within a Bayesian account of theory choice in the history of science.</p>
<p>Conclusion:<br />This work argues that Bayesian analysis provides a coherent way to track how evidence and prior expectations jointly shaped the path from early speculative DNA models to the accepted double-helix structure, offering a quantitative complement to narrative histories of scientific discovery.</p>
<p>Reference:<br />Small H. Bayesian history of science: The case of Watson and Crick and the structure of DNA. Quantitative Science Studies. 2023;4(1):209–228. <a title="https://doi.org/10.1162/qss_a_00233" href="https://doi.org/10.1162/qss_a_00233" target="_blank" rel="noreferrer noopener">https://doi.org/10.1162/qss_a_00233</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.com/" href="https://basebybase.com/" target="_blank" rel="noreferrer noopener">https://basebybase.com/</a></p>]]>
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                    <![CDATA[️ Episode 194: Bayesian History of Science: Watson and Crick and the Structure of DNA
In this episode of PaperCast Base by Base, we explore how Bayesian reasoning can be used to reconstruct the famous discovery of the DNA double helix by James Watson and Francis Crick, following the sequence of structural models proposed in the early 1950s and the evolving evidence that supported or undermined each hypothesis.
Study Highlights:The author applies a naïve Bayes framework to four competing models of DNA proposed by Watson, Crick, and Linus Pauling, treating each model as a target theory evaluated against multiple lines of historical evidence such as X-ray diffraction patterns, base pairing rules, symmetry constraints, and stereochemical feasibility. Conditional probabilities for how well each model accounts for each piece of evidence are manually estimated from historical sources using a simple five-point scale ranging from strongly inconsistent to strongly consistent, and combined with prior probabilities to calculate posteriors and likelihood ratios. By updating priors model by model, the study reconstructs how initial triple-helix proposals were progressively disconfirmed, while intermediate double-helix attempts with incorrect base pairing achieved only modest support despite offering a plausible replication mechanism. A dramatic jump in posterior probability and in the likelihood ratio is observed for the final Watson–Crick model with complementary purine–pyrimidine base pairing, consistent bond geometry, compliance with Chargaff’s rules, and correct symmetry, which the author interprets as a form of “Bayesian surprise” that matches scientists’ retrospective sense of having made a genuine discovery. The analysis also shows how “soft” considerations, such as analogy to Pauling’s alpha helix and the promise of an explanatory replication mechanism, can be incorporated alongside hard experimental data within a Bayesian account of theory choice in the history of science.
Conclusion:This work argues that Bayesian analysis provides a coherent way to track how evidence and prior expectations jointly shaped the path from early speculative DNA models to the accepted double-helix structure, offering a quantitative complement to narrative histories of scientific discovery.
Reference:Small H. Bayesian history of science: The case of Watson and Crick and the structure of DNA. Quantitative Science Studies. 2023;4(1):209–228. https://doi.org/10.1162/qss_a_00233
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.com/]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:14:29</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[193: SARM1, DNA, and the Death Signal]]>
                </title>
                <pubDate>Sun, 09 Nov 2025 16:40:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2200948</guid>
                                    <link>https://basebybase.castos.com/episodes/sarm1-dna-sensing-and-death</link>
                                <description>
                                            <![CDATA[<p>️Episode 193: SARM1, DNA, and the Death Signal</p>
<p>In this episode of PaperCast Base by Base, we explore how the axon-degenerating enzyme SARM1 acts as a double-stranded DNA sensor that triggers NAD+ loss, cell death, and chemotherapy-induced neuropathy, opening up new possibilities for neuroprotective therapies.</p>
<p>Study Highlights:<br />The authors show that the immune adaptor SARM1 directly binds double-stranded DNA via its TIR domain and, once activated, rapidly degrades cellular NAD+ in a sequence-independent but length-dependent manner. Using a combination of biochemical assays and structural analyses, they demonstrate that SARM1 forms multimeric complexes with linear DNA, with optimal activation occurring when DNA fragments are long enough to engage multiple SARM1 molecules. In cells, cytosolic DNA introduced by transfection or released during chemotherapy colocalizes with SARM1, driving NAD+ depletion and promoting cell death, whereas mutations that disrupt DNA binding or complete knockout of SARM1 blunt this response. In mouse models, loss of SARM1 protects against chemotherapy-induced neuropathy, linking DNA sensing by SARM1 directly to treatment-related neurotoxicity and positioning this pathway as a therapeutic target.</p>
<p>Conclusion:<br />By revealing SARM1 as a double-stranded DNA sensor that couples cytosolic DNA to NAD+ degradation, cell death, and chemotherapy-induced neuropathy, this study highlights a druggable axis for preserving neural function during cancer treatment.</p>
<p>Reference:<br />Wang L, Liu Q, Li S, et al. SARM1 senses dsDNA to promote NAD+ degradation and cell death. Cell. 2025;188:1–18. <a title="https://doi.org/10.1016/j.cell.2025.09.026" href="https://doi.org/10.1016/j.cell.2025.09.026" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.09.026</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️Episode 193: SARM1, DNA, and the Death Signal
In this episode of PaperCast Base by Base, we explore how the axon-degenerating enzyme SARM1 acts as a double-stranded DNA sensor that triggers NAD+ loss, cell death, and chemotherapy-induced neuropathy, opening up new possibilities for neuroprotective therapies.
Study Highlights:The authors show that the immune adaptor SARM1 directly binds double-stranded DNA via its TIR domain and, once activated, rapidly degrades cellular NAD+ in a sequence-independent but length-dependent manner. Using a combination of biochemical assays and structural analyses, they demonstrate that SARM1 forms multimeric complexes with linear DNA, with optimal activation occurring when DNA fragments are long enough to engage multiple SARM1 molecules. In cells, cytosolic DNA introduced by transfection or released during chemotherapy colocalizes with SARM1, driving NAD+ depletion and promoting cell death, whereas mutations that disrupt DNA binding or complete knockout of SARM1 blunt this response. In mouse models, loss of SARM1 protects against chemotherapy-induced neuropathy, linking DNA sensing by SARM1 directly to treatment-related neurotoxicity and positioning this pathway as a therapeutic target.
Conclusion:By revealing SARM1 as a double-stranded DNA sensor that couples cytosolic DNA to NAD+ degradation, cell death, and chemotherapy-induced neuropathy, this study highlights a druggable axis for preserving neural function during cancer treatment.
Reference:Wang L, Liu Q, Li S, et al. SARM1 senses dsDNA to promote NAD+ degradation and cell death. Cell. 2025;188:1–18. https://doi.org/10.1016/j.cell.2025.09.026
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[193: SARM1, DNA, and the Death Signal]]>
                </itunes:title>
                                    <itunes:episode>193</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                <content:encoded>
                    <![CDATA[<p>️Episode 193: SARM1, DNA, and the Death Signal</p>
<p>In this episode of PaperCast Base by Base, we explore how the axon-degenerating enzyme SARM1 acts as a double-stranded DNA sensor that triggers NAD+ loss, cell death, and chemotherapy-induced neuropathy, opening up new possibilities for neuroprotective therapies.</p>
<p>Study Highlights:<br />The authors show that the immune adaptor SARM1 directly binds double-stranded DNA via its TIR domain and, once activated, rapidly degrades cellular NAD+ in a sequence-independent but length-dependent manner. Using a combination of biochemical assays and structural analyses, they demonstrate that SARM1 forms multimeric complexes with linear DNA, with optimal activation occurring when DNA fragments are long enough to engage multiple SARM1 molecules. In cells, cytosolic DNA introduced by transfection or released during chemotherapy colocalizes with SARM1, driving NAD+ depletion and promoting cell death, whereas mutations that disrupt DNA binding or complete knockout of SARM1 blunt this response. In mouse models, loss of SARM1 protects against chemotherapy-induced neuropathy, linking DNA sensing by SARM1 directly to treatment-related neurotoxicity and positioning this pathway as a therapeutic target.</p>
<p>Conclusion:<br />By revealing SARM1 as a double-stranded DNA sensor that couples cytosolic DNA to NAD+ degradation, cell death, and chemotherapy-induced neuropathy, this study highlights a druggable axis for preserving neural function during cancer treatment.</p>
<p>Reference:<br />Wang L, Liu Q, Li S, et al. SARM1 senses dsDNA to promote NAD+ degradation and cell death. Cell. 2025;188:1–18. <a title="https://doi.org/10.1016/j.cell.2025.09.026" href="https://doi.org/10.1016/j.cell.2025.09.026" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.09.026</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> </p>]]>
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                                <itunes:summary>
                    <![CDATA[️Episode 193: SARM1, DNA, and the Death Signal
In this episode of PaperCast Base by Base, we explore how the axon-degenerating enzyme SARM1 acts as a double-stranded DNA sensor that triggers NAD+ loss, cell death, and chemotherapy-induced neuropathy, opening up new possibilities for neuroprotective therapies.
Study Highlights:The authors show that the immune adaptor SARM1 directly binds double-stranded DNA via its TIR domain and, once activated, rapidly degrades cellular NAD+ in a sequence-independent but length-dependent manner. Using a combination of biochemical assays and structural analyses, they demonstrate that SARM1 forms multimeric complexes with linear DNA, with optimal activation occurring when DNA fragments are long enough to engage multiple SARM1 molecules. In cells, cytosolic DNA introduced by transfection or released during chemotherapy colocalizes with SARM1, driving NAD+ depletion and promoting cell death, whereas mutations that disrupt DNA binding or complete knockout of SARM1 blunt this response. In mouse models, loss of SARM1 protects against chemotherapy-induced neuropathy, linking DNA sensing by SARM1 directly to treatment-related neurotoxicity and positioning this pathway as a therapeutic target.
Conclusion:By revealing SARM1 as a double-stranded DNA sensor that couples cytosolic DNA to NAD+ degradation, cell death, and chemotherapy-induced neuropathy, this study highlights a druggable axis for preserving neural function during cancer treatment.
Reference:Wang L, Liu Q, Li S, et al. SARM1 senses dsDNA to promote NAD+ degradation and cell death. Cell. 2025;188:1–18. https://doi.org/10.1016/j.cell.2025.09.026
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2200948/c1a-p6xp7-47m3o2zzsnmo-1le5ui.png"></itunes:image>
                                                                            <itunes:duration>00:15:00</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[192: At Base-Pair Resolution: Chromatin’s Cis-Regulatory Conversations]]>
                </title>
                <pubDate>Sat, 08 Nov 2025 12:38:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2200947</guid>
                                    <link>https://basebybase.castos.com/episodes/base-pair-chromatin-contacts</link>
                                <description>
                                            <![CDATA[<p>️Episode 192: At Base-Pair Resolution: Chromatin’s Cis-Regulatory Conversations</p>
<p>In this episode of PaperCast Base by Base, we explore how base-pair resolution maps of chromatin contacts reveal a unified, biophysical model of communication between enhancers, promoters, and other cis-regulatory elements in mammalian cells.</p>
<p>Study Highlights:<br />Using Micro Capture-C ultra (MCCu), the authors generate multidimensional chromosome conformation maps with single base-pair pixels, allowing them to resolve contacts between individual transcription factor motifs within cis-regulatory elements in mouse embryonic stem, hematopoietic progenitor, and erythroid cells. They show that nucleosome-depleted regions partition chromatin into nanoscale domains and form highly localized contacts with one another, while surrounding nucleosomes produce distinct patterns of linker spacing that mark inactive regions. By acutely degrading Mediator complex subunits with degron systems, they find that Mediator is critical for fine-scale promoter architecture and transcription complex stabilization but has only minor effects on large-scale enhancer–promoter contacts. Integrating MCCu data with coarse-grained molecular dynamics simulations and super-resolution imaging, they demonstrate that the physicochemical properties of chromatin itself can recapitulate observed contact patterns and help explain how transcription factor binding and nucleosome positioning coordinate cis-regulatory interactions.</p>
<p>Conclusion:<br />This work provides a high-resolution framework for linking chromatin biophysics to gene regulation, offering a roadmap for dissecting how specific protein complexes and nucleosome landscapes shape enhancer–promoter communication across the genome.</p>
<p>Reference:<br />Li H, Dalgleish JLT, Lister G, et al. Mapping chromatin structure at base-pair resolution unveils a unified model of cis-regulatory element interactions. Cell. 2025;188:1–19. <a title="https://doi.org/10.1016/j.cell.2025.10.013" href="https://doi.org/10.1016/j.cell.2025.10.013" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.10.013</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️Episode 192: At Base-Pair Resolution: Chromatin’s Cis-Regulatory Conversations
In this episode of PaperCast Base by Base, we explore how base-pair resolution maps of chromatin contacts reveal a unified, biophysical model of communication between enhancers, promoters, and other cis-regulatory elements in mammalian cells.
Study Highlights:Using Micro Capture-C ultra (MCCu), the authors generate multidimensional chromosome conformation maps with single base-pair pixels, allowing them to resolve contacts between individual transcription factor motifs within cis-regulatory elements in mouse embryonic stem, hematopoietic progenitor, and erythroid cells. They show that nucleosome-depleted regions partition chromatin into nanoscale domains and form highly localized contacts with one another, while surrounding nucleosomes produce distinct patterns of linker spacing that mark inactive regions. By acutely degrading Mediator complex subunits with degron systems, they find that Mediator is critical for fine-scale promoter architecture and transcription complex stabilization but has only minor effects on large-scale enhancer–promoter contacts. Integrating MCCu data with coarse-grained molecular dynamics simulations and super-resolution imaging, they demonstrate that the physicochemical properties of chromatin itself can recapitulate observed contact patterns and help explain how transcription factor binding and nucleosome positioning coordinate cis-regulatory interactions.
Conclusion:This work provides a high-resolution framework for linking chromatin biophysics to gene regulation, offering a roadmap for dissecting how specific protein complexes and nucleosome landscapes shape enhancer–promoter communication across the genome.
Reference:Li H, Dalgleish JLT, Lister G, et al. Mapping chromatin structure at base-pair resolution unveils a unified model of cis-regulatory element interactions. Cell. 2025;188:1–19. https://doi.org/10.1016/j.cell.2025.10.013
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[192: At Base-Pair Resolution: Chromatin’s Cis-Regulatory Conversations]]>
                </itunes:title>
                                    <itunes:episode>192</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                <content:encoded>
                    <![CDATA[<p>️Episode 192: At Base-Pair Resolution: Chromatin’s Cis-Regulatory Conversations</p>
<p>In this episode of PaperCast Base by Base, we explore how base-pair resolution maps of chromatin contacts reveal a unified, biophysical model of communication between enhancers, promoters, and other cis-regulatory elements in mammalian cells.</p>
<p>Study Highlights:<br />Using Micro Capture-C ultra (MCCu), the authors generate multidimensional chromosome conformation maps with single base-pair pixels, allowing them to resolve contacts between individual transcription factor motifs within cis-regulatory elements in mouse embryonic stem, hematopoietic progenitor, and erythroid cells. They show that nucleosome-depleted regions partition chromatin into nanoscale domains and form highly localized contacts with one another, while surrounding nucleosomes produce distinct patterns of linker spacing that mark inactive regions. By acutely degrading Mediator complex subunits with degron systems, they find that Mediator is critical for fine-scale promoter architecture and transcription complex stabilization but has only minor effects on large-scale enhancer–promoter contacts. Integrating MCCu data with coarse-grained molecular dynamics simulations and super-resolution imaging, they demonstrate that the physicochemical properties of chromatin itself can recapitulate observed contact patterns and help explain how transcription factor binding and nucleosome positioning coordinate cis-regulatory interactions.</p>
<p>Conclusion:<br />This work provides a high-resolution framework for linking chromatin biophysics to gene regulation, offering a roadmap for dissecting how specific protein complexes and nucleosome landscapes shape enhancer–promoter communication across the genome.</p>
<p>Reference:<br />Li H, Dalgleish JLT, Lister G, et al. Mapping chromatin structure at base-pair resolution unveils a unified model of cis-regulatory element interactions. Cell. 2025;188:1–19. <a title="https://doi.org/10.1016/j.cell.2025.10.013" href="https://doi.org/10.1016/j.cell.2025.10.013" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.10.013</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> </p>]]>
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                                <itunes:summary>
                    <![CDATA[️Episode 192: At Base-Pair Resolution: Chromatin’s Cis-Regulatory Conversations
In this episode of PaperCast Base by Base, we explore how base-pair resolution maps of chromatin contacts reveal a unified, biophysical model of communication between enhancers, promoters, and other cis-regulatory elements in mammalian cells.
Study Highlights:Using Micro Capture-C ultra (MCCu), the authors generate multidimensional chromosome conformation maps with single base-pair pixels, allowing them to resolve contacts between individual transcription factor motifs within cis-regulatory elements in mouse embryonic stem, hematopoietic progenitor, and erythroid cells. They show that nucleosome-depleted regions partition chromatin into nanoscale domains and form highly localized contacts with one another, while surrounding nucleosomes produce distinct patterns of linker spacing that mark inactive regions. By acutely degrading Mediator complex subunits with degron systems, they find that Mediator is critical for fine-scale promoter architecture and transcription complex stabilization but has only minor effects on large-scale enhancer–promoter contacts. Integrating MCCu data with coarse-grained molecular dynamics simulations and super-resolution imaging, they demonstrate that the physicochemical properties of chromatin itself can recapitulate observed contact patterns and help explain how transcription factor binding and nucleosome positioning coordinate cis-regulatory interactions.
Conclusion:This work provides a high-resolution framework for linking chromatin biophysics to gene regulation, offering a roadmap for dissecting how specific protein complexes and nucleosome landscapes shape enhancer–promoter communication across the genome.
Reference:Li H, Dalgleish JLT, Lister G, et al. Mapping chromatin structure at base-pair resolution unveils a unified model of cis-regulatory element interactions. Cell. 2025;188:1–19. https://doi.org/10.1016/j.cell.2025.10.013
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 ]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:14:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[191: CATphishing: Synthetic Learning as an Alternative to Federated Learning in MRI]]>
                </title>
                <pubDate>Fri, 07 Nov 2025 09:36:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2199789</guid>
                                    <link>https://basebybase.castos.com/episodes/synthetic-learning-medical-imaging</link>
                                <description>
                                            <![CDATA[<p>️ Episode 191: CATphishing: Synthetic Learning as an Alternative to Federated Learning in MRI</p>
<p> In this episode of PaperCast Base by Base, we explore a Nature Communications study that proposes CATphishing—an approach that uses latent diffusion models to generate site-specific synthetic 3D brain MRIs for collaborative training without sharing raw data. The work spans seven institutions and 2,491 patients and evaluates whether models trained on synthetic data can match those trained via centralized data sharing or federated learning.</p>
<p> Study Highlights:<br />The authors train latent diffusion models locally at each site to capture dataset-specific MRI distributions and then aggregate only synthetic multi-contrast MRIs and tumor masks for downstream model training across centers. In IDH mutation status classification, models trained solely on synthetic data achieved performance comparable to centralized and federated approaches, with overall accuracy around 95.5% and AUC near 0.966, versus 96.2% and 0.979 for centralized training. A two‑stage tumor‑type pipeline—separating glioblastoma from IDH‑mutated tumors and then classifying oligodendroglioma versus astrocytoma—likewise showed similar end‑to‑end accuracy for synthetic versus real‑data strategies, landing near 90–92% overall. Fidelity and privacy were examined with FID and no‑reference image‑quality metrics and by a membership‑inference analysis that performed at chance, supporting the case for synthetic data as a viable, privacy‑preserving alternative in multi‑center AI development.</p>
<p> Conclusion:<br />CATphishing demonstrates that high‑fidelity synthetic MRI can enable cross‑institutional modeling with accuracy close to real‑data training while reducing privacy, communication, and coordination burdens in multi‑center collaborations.</p>
<p> Reference:<br />Truong NCD, Yogananda CGB, Wagner BC, Holcomb JM, Reddy DD, Saadat N, Bowerman J, Hatanpaa KJ, Patel TR, Fei B, Lee MD, Jain R, Bruce RJ, Madhuranthakam AJ, Pinho MC, Maldjian JA. Categorical and phenotypic image synthetic learning as an alternative to federated learning. Nature Communications. 2025;16:9384.<a title="https://doi.org/10.1038/s41467-025-64385-z" href="%20https%3A/doi.org/10.1038/s41467-025-64385-z" target="_blank" rel="noreferrer noopener"> https://doi.org/10.1038/s41467-025-64385-z</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 191: CATphishing: Synthetic Learning as an Alternative to Federated Learning in MRI
 In this episode of PaperCast Base by Base, we explore a Nature Communications study that proposes CATphishing—an approach that uses latent diffusion models to generate site-specific synthetic 3D brain MRIs for collaborative training without sharing raw data. The work spans seven institutions and 2,491 patients and evaluates whether models trained on synthetic data can match those trained via centralized data sharing or federated learning.
 Study Highlights:The authors train latent diffusion models locally at each site to capture dataset-specific MRI distributions and then aggregate only synthetic multi-contrast MRIs and tumor masks for downstream model training across centers. In IDH mutation status classification, models trained solely on synthetic data achieved performance comparable to centralized and federated approaches, with overall accuracy around 95.5% and AUC near 0.966, versus 96.2% and 0.979 for centralized training. A two‑stage tumor‑type pipeline—separating glioblastoma from IDH‑mutated tumors and then classifying oligodendroglioma versus astrocytoma—likewise showed similar end‑to‑end accuracy for synthetic versus real‑data strategies, landing near 90–92% overall. Fidelity and privacy were examined with FID and no‑reference image‑quality metrics and by a membership‑inference analysis that performed at chance, supporting the case for synthetic data as a viable, privacy‑preserving alternative in multi‑center AI development.
 Conclusion:CATphishing demonstrates that high‑fidelity synthetic MRI can enable cross‑institutional modeling with accuracy close to real‑data training while reducing privacy, communication, and coordination burdens in multi‑center collaborations.
 Reference:Truong NCD, Yogananda CGB, Wagner BC, Holcomb JM, Reddy DD, Saadat N, Bowerman J, Hatanpaa KJ, Patel TR, Fei B, Lee MD, Jain R, Bruce RJ, Madhuranthakam AJ, Pinho MC, Maldjian JA. Categorical and phenotypic image synthetic learning as an alternative to federated learning. Nature Communications. 2025;16:9384. https://doi.org/10.1038/s41467-025-64385-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[191: CATphishing: Synthetic Learning as an Alternative to Federated Learning in MRI]]>
                </itunes:title>
                                    <itunes:episode>191</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 191: CATphishing: Synthetic Learning as an Alternative to Federated Learning in MRI</p>
<p> In this episode of PaperCast Base by Base, we explore a Nature Communications study that proposes CATphishing—an approach that uses latent diffusion models to generate site-specific synthetic 3D brain MRIs for collaborative training without sharing raw data. The work spans seven institutions and 2,491 patients and evaluates whether models trained on synthetic data can match those trained via centralized data sharing or federated learning.</p>
<p> Study Highlights:<br />The authors train latent diffusion models locally at each site to capture dataset-specific MRI distributions and then aggregate only synthetic multi-contrast MRIs and tumor masks for downstream model training across centers. In IDH mutation status classification, models trained solely on synthetic data achieved performance comparable to centralized and federated approaches, with overall accuracy around 95.5% and AUC near 0.966, versus 96.2% and 0.979 for centralized training. A two‑stage tumor‑type pipeline—separating glioblastoma from IDH‑mutated tumors and then classifying oligodendroglioma versus astrocytoma—likewise showed similar end‑to‑end accuracy for synthetic versus real‑data strategies, landing near 90–92% overall. Fidelity and privacy were examined with FID and no‑reference image‑quality metrics and by a membership‑inference analysis that performed at chance, supporting the case for synthetic data as a viable, privacy‑preserving alternative in multi‑center AI development.</p>
<p> Conclusion:<br />CATphishing demonstrates that high‑fidelity synthetic MRI can enable cross‑institutional modeling with accuracy close to real‑data training while reducing privacy, communication, and coordination burdens in multi‑center collaborations.</p>
<p> Reference:<br />Truong NCD, Yogananda CGB, Wagner BC, Holcomb JM, Reddy DD, Saadat N, Bowerman J, Hatanpaa KJ, Patel TR, Fei B, Lee MD, Jain R, Bruce RJ, Madhuranthakam AJ, Pinho MC, Maldjian JA. Categorical and phenotypic image synthetic learning as an alternative to federated learning. Nature Communications. 2025;16:9384.<a title="https://doi.org/10.1038/s41467-025-64385-z" href="%20https%3A/doi.org/10.1038/s41467-025-64385-z" target="_blank" rel="noreferrer noopener"> https://doi.org/10.1038/s41467-025-64385-z</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 191: CATphishing: Synthetic Learning as an Alternative to Federated Learning in MRI
 In this episode of PaperCast Base by Base, we explore a Nature Communications study that proposes CATphishing—an approach that uses latent diffusion models to generate site-specific synthetic 3D brain MRIs for collaborative training without sharing raw data. The work spans seven institutions and 2,491 patients and evaluates whether models trained on synthetic data can match those trained via centralized data sharing or federated learning.
 Study Highlights:The authors train latent diffusion models locally at each site to capture dataset-specific MRI distributions and then aggregate only synthetic multi-contrast MRIs and tumor masks for downstream model training across centers. In IDH mutation status classification, models trained solely on synthetic data achieved performance comparable to centralized and federated approaches, with overall accuracy around 95.5% and AUC near 0.966, versus 96.2% and 0.979 for centralized training. A two‑stage tumor‑type pipeline—separating glioblastoma from IDH‑mutated tumors and then classifying oligodendroglioma versus astrocytoma—likewise showed similar end‑to‑end accuracy for synthetic versus real‑data strategies, landing near 90–92% overall. Fidelity and privacy were examined with FID and no‑reference image‑quality metrics and by a membership‑inference analysis that performed at chance, supporting the case for synthetic data as a viable, privacy‑preserving alternative in multi‑center AI development.
 Conclusion:CATphishing demonstrates that high‑fidelity synthetic MRI can enable cross‑institutional modeling with accuracy close to real‑data training while reducing privacy, communication, and coordination burdens in multi‑center collaborations.
 Reference:Truong NCD, Yogananda CGB, Wagner BC, Holcomb JM, Reddy DD, Saadat N, Bowerman J, Hatanpaa KJ, Patel TR, Fei B, Lee MD, Jain R, Bruce RJ, Madhuranthakam AJ, Pinho MC, Maldjian JA. Categorical and phenotypic image synthetic learning as an alternative to federated learning. Nature Communications. 2025;16:9384. https://doi.org/10.1038/s41467-025-64385-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:19:17</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[190: Single-Cell Networks Reveal Cell Type–Specific Mechanisms in Type 2 Diabetes]]>
                </title>
                <pubDate>Thu, 06 Nov 2025 09:10:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2195956</guid>
                                    <link>https://basebybase.castos.com/episodes/single-cell-networks-t2d</link>
                                <description>
                                            <![CDATA[<p>️ Episode 190: Single-Cell Networks Reveal Cell Type–Specific Mechanisms in Type 2 Diabetes</p>
<p> In this episode of PaperCast Base by Base, we explore how a network-based analysis of single-cell RNA sequencing from human pancreatic islets uncovers cell type–specific gene-regulatory changes that help explain type 2 diabetes pathophysiology.</p>
<p> Study Highlights:<br />The authors develop differential Gene Coordination Network Analysis (dGCNA) to compare gene–gene coordination between non‑T2D and T2D donors in Smart‑seq2 datasets covering &gt;8,000 islet cells from 32 individuals. In beta cells, dGCNA resolves eleven networks with strong ontological specificity, revealing de‑coordination of mitochondria, glycolysis, cytoskeleton, cell cycle, unfolded protein response, and glucose‑response programs, while insulin secretion, lysosomal regulation, and ribosome-related programs show hyper‑coordination. Functional experiments validate predictions by showing that CEBPG modulates the unfolded protein response and insulin production/secretion, and that TMEM176A/B influences actin microfilaments and cAMP‑amplified exocytosis, with supportive phenotypes in knockout mice and human islets. Results replicate across independent datasets and outperform differential expression (DESeq2) in cross‑dataset reproducibility, and analysis of alpha cells reveals distinct T2D‑linked coordination changes involving secretory granules, glycolysis, mitochondria, and ribosomes.</p>
<p> Conclusion:<br />By focusing on networks of differentially coordinated genes rather than expression alone, dGCNA provides a robust framework to pinpoint cell type–specific mechanisms and nominate actionable targets for preserving islet function in type 2 diabetes.</p>
<p> Reference:<br />Nature Communications (2025). Single-cell mRNA-regulation analysis reveals cell type-specific mechanisms of type 2 diabetes. <a title="https://doi.org/10.1038/s41467-025-65060-z" href="https://doi.org/10.1038/s41467-025-65060-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-65060-z</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> Episode Slug: </p>
<p>Keywords: single-cell RNA-seq, differential network analysis, pancreatic islets, beta cells, type 2 diabetes</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 190: Single-Cell Networks Reveal Cell Type–Specific Mechanisms in Type 2 Diabetes
 In this episode of PaperCast Base by Base, we explore how a network-based analysis of single-cell RNA sequencing from human pancreatic islets uncovers cell type–specific gene-regulatory changes that help explain type 2 diabetes pathophysiology.
 Study Highlights:The authors develop differential Gene Coordination Network Analysis (dGCNA) to compare gene–gene coordination between non‑T2D and T2D donors in Smart‑seq2 datasets covering >8,000 islet cells from 32 individuals. In beta cells, dGCNA resolves eleven networks with strong ontological specificity, revealing de‑coordination of mitochondria, glycolysis, cytoskeleton, cell cycle, unfolded protein response, and glucose‑response programs, while insulin secretion, lysosomal regulation, and ribosome-related programs show hyper‑coordination. Functional experiments validate predictions by showing that CEBPG modulates the unfolded protein response and insulin production/secretion, and that TMEM176A/B influences actin microfilaments and cAMP‑amplified exocytosis, with supportive phenotypes in knockout mice and human islets. Results replicate across independent datasets and outperform differential expression (DESeq2) in cross‑dataset reproducibility, and analysis of alpha cells reveals distinct T2D‑linked coordination changes involving secretory granules, glycolysis, mitochondria, and ribosomes.
 Conclusion:By focusing on networks of differentially coordinated genes rather than expression alone, dGCNA provides a robust framework to pinpoint cell type–specific mechanisms and nominate actionable targets for preserving islet function in type 2 diabetes.
 Reference:Nature Communications (2025). Single-cell mRNA-regulation analysis reveals cell type-specific mechanisms of type 2 diabetes. https://doi.org/10.1038/s41467-025-65060-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Episode Slug: 
Keywords: single-cell RNA-seq, differential network analysis, pancreatic islets, beta cells, type 2 diabetes]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[190: Single-Cell Networks Reveal Cell Type–Specific Mechanisms in Type 2 Diabetes]]>
                </itunes:title>
                                    <itunes:episode>190</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 190: Single-Cell Networks Reveal Cell Type–Specific Mechanisms in Type 2 Diabetes</p>
<p> In this episode of PaperCast Base by Base, we explore how a network-based analysis of single-cell RNA sequencing from human pancreatic islets uncovers cell type–specific gene-regulatory changes that help explain type 2 diabetes pathophysiology.</p>
<p> Study Highlights:<br />The authors develop differential Gene Coordination Network Analysis (dGCNA) to compare gene–gene coordination between non‑T2D and T2D donors in Smart‑seq2 datasets covering &gt;8,000 islet cells from 32 individuals. In beta cells, dGCNA resolves eleven networks with strong ontological specificity, revealing de‑coordination of mitochondria, glycolysis, cytoskeleton, cell cycle, unfolded protein response, and glucose‑response programs, while insulin secretion, lysosomal regulation, and ribosome-related programs show hyper‑coordination. Functional experiments validate predictions by showing that CEBPG modulates the unfolded protein response and insulin production/secretion, and that TMEM176A/B influences actin microfilaments and cAMP‑amplified exocytosis, with supportive phenotypes in knockout mice and human islets. Results replicate across independent datasets and outperform differential expression (DESeq2) in cross‑dataset reproducibility, and analysis of alpha cells reveals distinct T2D‑linked coordination changes involving secretory granules, glycolysis, mitochondria, and ribosomes.</p>
<p> Conclusion:<br />By focusing on networks of differentially coordinated genes rather than expression alone, dGCNA provides a robust framework to pinpoint cell type–specific mechanisms and nominate actionable targets for preserving islet function in type 2 diabetes.</p>
<p> Reference:<br />Nature Communications (2025). Single-cell mRNA-regulation analysis reveals cell type-specific mechanisms of type 2 diabetes. <a title="https://doi.org/10.1038/s41467-025-65060-z" href="https://doi.org/10.1038/s41467-025-65060-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-65060-z</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> Episode Slug: </p>
<p>Keywords: single-cell RNA-seq, differential network analysis, pancreatic islets, beta cells, type 2 diabetes</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[️ Episode 190: Single-Cell Networks Reveal Cell Type–Specific Mechanisms in Type 2 Diabetes
 In this episode of PaperCast Base by Base, we explore how a network-based analysis of single-cell RNA sequencing from human pancreatic islets uncovers cell type–specific gene-regulatory changes that help explain type 2 diabetes pathophysiology.
 Study Highlights:The authors develop differential Gene Coordination Network Analysis (dGCNA) to compare gene–gene coordination between non‑T2D and T2D donors in Smart‑seq2 datasets covering >8,000 islet cells from 32 individuals. In beta cells, dGCNA resolves eleven networks with strong ontological specificity, revealing de‑coordination of mitochondria, glycolysis, cytoskeleton, cell cycle, unfolded protein response, and glucose‑response programs, while insulin secretion, lysosomal regulation, and ribosome-related programs show hyper‑coordination. Functional experiments validate predictions by showing that CEBPG modulates the unfolded protein response and insulin production/secretion, and that TMEM176A/B influences actin microfilaments and cAMP‑amplified exocytosis, with supportive phenotypes in knockout mice and human islets. Results replicate across independent datasets and outperform differential expression (DESeq2) in cross‑dataset reproducibility, and analysis of alpha cells reveals distinct T2D‑linked coordination changes involving secretory granules, glycolysis, mitochondria, and ribosomes.
 Conclusion:By focusing on networks of differentially coordinated genes rather than expression alone, dGCNA provides a robust framework to pinpoint cell type–specific mechanisms and nominate actionable targets for preserving islet function in type 2 diabetes.
 Reference:Nature Communications (2025). Single-cell mRNA-regulation analysis reveals cell type-specific mechanisms of type 2 diabetes. https://doi.org/10.1038/s41467-025-65060-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Episode Slug: 
Keywords: single-cell RNA-seq, differential network analysis, pancreatic islets, beta cells, type 2 diabetes]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2195956/c1a-p6xp7-6zqr9213f30k-3vqwnm.png"></itunes:image>
                                                                            <itunes:duration>00:15:43</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[189: DNA methylation patterns facilitate tracing the origin of neuroendocrine neoplasms]]>
                </title>
                <pubDate>Wed, 05 Nov 2025 09:06:36 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2193222</guid>
                                    <link>https://basebybase.castos.com/episodes/methylation-origin-of-nen</link>
                                <description>
                                            <![CDATA[<p>️ Episode 189: DNA methylation patterns facilitate tracing the origin of neuroendocrine neoplasms</p>
<p> In this episode of PaperCast Base by Base, we explore how genome-wide DNA methylation profiling can pinpoint the organ of origin for neuroendocrine neoplasms (NEN), with a special focus on lesions detected in the liver and long-debated “primary hepatic NEN”.</p>
<p> Study Highlights:<br />Using two independent cohorts totaling 212 NEN tissues, the authors profiled methylation patterns and visualized them with dimensionality-reduction approaches, revealing distinct clusters for most organ sites. Hepatic NEN without a detectable extrahepatic primary did not form a unique liver-specific cluster and instead colocalized with extrahepatic subtypes, frequently showing foregut-like methylation signatures. A latent methylation component–based Random Forest classifier achieved high accuracy in predicting organ site from biopsy material and suggested that many presumed primary hepatic NEN are likely misclassified metastases of unknown primary. Copy-number analyses supported organ‑site–specific patterns and further differentiated grades and subtypes, including NET versus NEC.</p>
<p> Conclusion:<br />Methylome profiling offers a practical path to identify the primary site in neuroendocrine neoplasms—including liver-detected cases—supporting more precise diagnosis and treatment selection in real-world pathology workflows.</p>
<p> Reference:<br />Goeppert B, Charbel A, Toth R, et al. DNA methylation patterns facilitate tracing the origin of neuroendocrine neoplasms. Nature Communications. 2025;16:9477. <a title="https://doi.org/10.1038/s41467-025-65227-8" href="https://doi.org/10.1038/s41467-025-65227-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-65227-8</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 189: DNA methylation patterns facilitate tracing the origin of neuroendocrine neoplasms
 In this episode of PaperCast Base by Base, we explore how genome-wide DNA methylation profiling can pinpoint the organ of origin for neuroendocrine neoplasms (NEN), with a special focus on lesions detected in the liver and long-debated “primary hepatic NEN”.
 Study Highlights:Using two independent cohorts totaling 212 NEN tissues, the authors profiled methylation patterns and visualized them with dimensionality-reduction approaches, revealing distinct clusters for most organ sites. Hepatic NEN without a detectable extrahepatic primary did not form a unique liver-specific cluster and instead colocalized with extrahepatic subtypes, frequently showing foregut-like methylation signatures. A latent methylation component–based Random Forest classifier achieved high accuracy in predicting organ site from biopsy material and suggested that many presumed primary hepatic NEN are likely misclassified metastases of unknown primary. Copy-number analyses supported organ‑site–specific patterns and further differentiated grades and subtypes, including NET versus NEC.
 Conclusion:Methylome profiling offers a practical path to identify the primary site in neuroendocrine neoplasms—including liver-detected cases—supporting more precise diagnosis and treatment selection in real-world pathology workflows.
 Reference:Goeppert B, Charbel A, Toth R, et al. DNA methylation patterns facilitate tracing the origin of neuroendocrine neoplasms. Nature Communications. 2025;16:9477. https://doi.org/10.1038/s41467-025-65227-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[189: DNA methylation patterns facilitate tracing the origin of neuroendocrine neoplasms]]>
                </itunes:title>
                                    <itunes:episode>189</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 189: DNA methylation patterns facilitate tracing the origin of neuroendocrine neoplasms</p>
<p> In this episode of PaperCast Base by Base, we explore how genome-wide DNA methylation profiling can pinpoint the organ of origin for neuroendocrine neoplasms (NEN), with a special focus on lesions detected in the liver and long-debated “primary hepatic NEN”.</p>
<p> Study Highlights:<br />Using two independent cohorts totaling 212 NEN tissues, the authors profiled methylation patterns and visualized them with dimensionality-reduction approaches, revealing distinct clusters for most organ sites. Hepatic NEN without a detectable extrahepatic primary did not form a unique liver-specific cluster and instead colocalized with extrahepatic subtypes, frequently showing foregut-like methylation signatures. A latent methylation component–based Random Forest classifier achieved high accuracy in predicting organ site from biopsy material and suggested that many presumed primary hepatic NEN are likely misclassified metastases of unknown primary. Copy-number analyses supported organ‑site–specific patterns and further differentiated grades and subtypes, including NET versus NEC.</p>
<p> Conclusion:<br />Methylome profiling offers a practical path to identify the primary site in neuroendocrine neoplasms—including liver-detected cases—supporting more precise diagnosis and treatment selection in real-world pathology workflows.</p>
<p> Reference:<br />Goeppert B, Charbel A, Toth R, et al. DNA methylation patterns facilitate tracing the origin of neuroendocrine neoplasms. Nature Communications. 2025;16:9477. <a title="https://doi.org/10.1038/s41467-025-65227-8" href="https://doi.org/10.1038/s41467-025-65227-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-65227-8</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 189: DNA methylation patterns facilitate tracing the origin of neuroendocrine neoplasms
 In this episode of PaperCast Base by Base, we explore how genome-wide DNA methylation profiling can pinpoint the organ of origin for neuroendocrine neoplasms (NEN), with a special focus on lesions detected in the liver and long-debated “primary hepatic NEN”.
 Study Highlights:Using two independent cohorts totaling 212 NEN tissues, the authors profiled methylation patterns and visualized them with dimensionality-reduction approaches, revealing distinct clusters for most organ sites. Hepatic NEN without a detectable extrahepatic primary did not form a unique liver-specific cluster and instead colocalized with extrahepatic subtypes, frequently showing foregut-like methylation signatures. A latent methylation component–based Random Forest classifier achieved high accuracy in predicting organ site from biopsy material and suggested that many presumed primary hepatic NEN are likely misclassified metastases of unknown primary. Copy-number analyses supported organ‑site–specific patterns and further differentiated grades and subtypes, including NET versus NEC.
 Conclusion:Methylome profiling offers a practical path to identify the primary site in neuroendocrine neoplasms—including liver-detected cases—supporting more precise diagnosis and treatment selection in real-world pathology workflows.
 Reference:Goeppert B, Charbel A, Toth R, et al. DNA methylation patterns facilitate tracing the origin of neuroendocrine neoplasms. Nature Communications. 2025;16:9477. https://doi.org/10.1038/s41467-025-65227-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2193222/c1a-p6xp7-47m46jd2hk45-6sjoyd.png"></itunes:image>
                                                                            <itunes:duration>00:14:22</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[188: Proteomics + Machine Learning for Lyme Neuroborreliosis Diagnosis]]>
                </title>
                <pubDate>Tue, 04 Nov 2025 08:52:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2185088</guid>
                                    <link>https://basebybase.castos.com/episodes/proteomics-ml-lyme-neuroborreliosis</link>
                                <description>
                                            <![CDATA[<p>️ Episode 188: Proteomics + Machine Learning for Lyme Neuroborreliosis Diagnosis</p>
<p> In this episode of PaperCast Base by Base, we explore how large‑scale mass‑spectrometry proteomics of cerebrospinal fluid and plasma, paired with supervised machine learning, can distinguish Lyme neuroborreliosis from viral meningitis and non‑LNB controls in adults.</p>
<p> Study Highlights:<br />The authors analyzed 308 CSF and 207 plasma samples across development and validation cohorts to define host‑response protein signatures and train diagnostic classifiers. CSF proteomics yielded strong discrimination of LNB against viral meningitis and against controls, with independent‑cohort AUCs around 0.92 and 0.90, respectively, and highlighted immunoglobulin chains, complement factors, innate immune proteins, and cytoskeletal markers as key features. A plasma‑based model distinguishing LNB from controls achieved an AUC of about 0.80 in validation and captured systemic innate immunity, complement activation, lipid transport, and coagulation signatures. Across matrices, overlapping proteins illuminated compartmentalized immunity, with many immunoglobulins increased in CSF but relatively lower in plasma for LNB, and SHAP analyses prioritized features linked to humoral and innate responses as well as cell damage and migration.</p>
<p> Conclusion:<br />Machine‑learning‑assisted proteomics shows promise for less‑invasive diagnosis and monitoring of Lyme neuroborreliosis and could reduce reliance on lumbar puncture if validated prospectively.</p>
<p> Reference:<br />Nielsen AB, Fjordside L, Drici L, Ottenheijm ME, Rasmussen C, Henningsson AJ, Harritshøj LH, Mann M, Mens H, Lebech A‑M, Wewer Albrechtsen NJ. The diagnostic potential of proteomics and machine learning in Lyme neuroborreliosis. Nature Communications. 2025;16:9322. <a title="https://doi.org/10.1038/s41467-025-64903-z" href="https://doi.org/10.1038/s41467-025-64903-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64903-z</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 188: Proteomics + Machine Learning for Lyme Neuroborreliosis Diagnosis
 In this episode of PaperCast Base by Base, we explore how large‑scale mass‑spectrometry proteomics of cerebrospinal fluid and plasma, paired with supervised machine learning, can distinguish Lyme neuroborreliosis from viral meningitis and non‑LNB controls in adults.
 Study Highlights:The authors analyzed 308 CSF and 207 plasma samples across development and validation cohorts to define host‑response protein signatures and train diagnostic classifiers. CSF proteomics yielded strong discrimination of LNB against viral meningitis and against controls, with independent‑cohort AUCs around 0.92 and 0.90, respectively, and highlighted immunoglobulin chains, complement factors, innate immune proteins, and cytoskeletal markers as key features. A plasma‑based model distinguishing LNB from controls achieved an AUC of about 0.80 in validation and captured systemic innate immunity, complement activation, lipid transport, and coagulation signatures. Across matrices, overlapping proteins illuminated compartmentalized immunity, with many immunoglobulins increased in CSF but relatively lower in plasma for LNB, and SHAP analyses prioritized features linked to humoral and innate responses as well as cell damage and migration.
 Conclusion:Machine‑learning‑assisted proteomics shows promise for less‑invasive diagnosis and monitoring of Lyme neuroborreliosis and could reduce reliance on lumbar puncture if validated prospectively.
 Reference:Nielsen AB, Fjordside L, Drici L, Ottenheijm ME, Rasmussen C, Henningsson AJ, Harritshøj LH, Mann M, Mens H, Lebech A‑M, Wewer Albrechtsen NJ. The diagnostic potential of proteomics and machine learning in Lyme neuroborreliosis. Nature Communications. 2025;16:9322. https://doi.org/10.1038/s41467-025-64903-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[188: Proteomics + Machine Learning for Lyme Neuroborreliosis Diagnosis]]>
                </itunes:title>
                                    <itunes:episode>188</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 188: Proteomics + Machine Learning for Lyme Neuroborreliosis Diagnosis</p>
<p> In this episode of PaperCast Base by Base, we explore how large‑scale mass‑spectrometry proteomics of cerebrospinal fluid and plasma, paired with supervised machine learning, can distinguish Lyme neuroborreliosis from viral meningitis and non‑LNB controls in adults.</p>
<p> Study Highlights:<br />The authors analyzed 308 CSF and 207 plasma samples across development and validation cohorts to define host‑response protein signatures and train diagnostic classifiers. CSF proteomics yielded strong discrimination of LNB against viral meningitis and against controls, with independent‑cohort AUCs around 0.92 and 0.90, respectively, and highlighted immunoglobulin chains, complement factors, innate immune proteins, and cytoskeletal markers as key features. A plasma‑based model distinguishing LNB from controls achieved an AUC of about 0.80 in validation and captured systemic innate immunity, complement activation, lipid transport, and coagulation signatures. Across matrices, overlapping proteins illuminated compartmentalized immunity, with many immunoglobulins increased in CSF but relatively lower in plasma for LNB, and SHAP analyses prioritized features linked to humoral and innate responses as well as cell damage and migration.</p>
<p> Conclusion:<br />Machine‑learning‑assisted proteomics shows promise for less‑invasive diagnosis and monitoring of Lyme neuroborreliosis and could reduce reliance on lumbar puncture if validated prospectively.</p>
<p> Reference:<br />Nielsen AB, Fjordside L, Drici L, Ottenheijm ME, Rasmussen C, Henningsson AJ, Harritshøj LH, Mann M, Mens H, Lebech A‑M, Wewer Albrechtsen NJ. The diagnostic potential of proteomics and machine learning in Lyme neuroborreliosis. Nature Communications. 2025;16:9322. <a title="https://doi.org/10.1038/s41467-025-64903-z" href="https://doi.org/10.1038/s41467-025-64903-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64903-z</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 188: Proteomics + Machine Learning for Lyme Neuroborreliosis Diagnosis
 In this episode of PaperCast Base by Base, we explore how large‑scale mass‑spectrometry proteomics of cerebrospinal fluid and plasma, paired with supervised machine learning, can distinguish Lyme neuroborreliosis from viral meningitis and non‑LNB controls in adults.
 Study Highlights:The authors analyzed 308 CSF and 207 plasma samples across development and validation cohorts to define host‑response protein signatures and train diagnostic classifiers. CSF proteomics yielded strong discrimination of LNB against viral meningitis and against controls, with independent‑cohort AUCs around 0.92 and 0.90, respectively, and highlighted immunoglobulin chains, complement factors, innate immune proteins, and cytoskeletal markers as key features. A plasma‑based model distinguishing LNB from controls achieved an AUC of about 0.80 in validation and captured systemic innate immunity, complement activation, lipid transport, and coagulation signatures. Across matrices, overlapping proteins illuminated compartmentalized immunity, with many immunoglobulins increased in CSF but relatively lower in plasma for LNB, and SHAP analyses prioritized features linked to humoral and innate responses as well as cell damage and migration.
 Conclusion:Machine‑learning‑assisted proteomics shows promise for less‑invasive diagnosis and monitoring of Lyme neuroborreliosis and could reduce reliance on lumbar puncture if validated prospectively.
 Reference:Nielsen AB, Fjordside L, Drici L, Ottenheijm ME, Rasmussen C, Henningsson AJ, Harritshøj LH, Mann M, Mens H, Lebech A‑M, Wewer Albrechtsen NJ. The diagnostic potential of proteomics and machine learning in Lyme neuroborreliosis. Nature Communications. 2025;16:9322. https://doi.org/10.1038/s41467-025-64903-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2185088/c1a-p6xp7-8do83wg1bd9v-h9ns4m.png"></itunes:image>
                                                                            <itunes:duration>00:16:51</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[187: Gapped scheduling: CRLX101 + olaparib Phase I trial]]>
                </title>
                <pubDate>Mon, 03 Nov 2025 11:41:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2185082</guid>
                                    <link>https://basebybase.castos.com/episodes/gapped-scheduling-crlx101-olaparib-phase1</link>
                                <description>
                                            <![CDATA[<p>Nature Communications (2025) 16:9457 et al., Nature Communications - Phase I dose-escalation trial combining CRLX101 (nanoparticle camptothecin) with olaparib using a 48-hour gapped schedule in 24 patients with advanced solid tumors to determine MTD and assess pharmacokinetics, pharmacodynamics, safety, and preliminary efficacy. Key terms: CRLX101, olaparib, PARP inhibitor, topoisomerase I, gapped scheduling.</p>
<p> Study Highlights:<br />This phase I study combined tumor-targeted CRLX101 with gapped olaparib dosing in 24 heavily pretreated patients to identify a tolerable regimen and probe PD effects. The MTD/RP2D was CRLX101 12 mg/m² every two weeks with olaparib 250 mg twice daily on days 3–13 and 17–26. Pharmacokinetics were consistent with single-agent profiles and γH2AX in hair follicles and PBMCs increased after olaparib, indicating augmented DNA damage. Among 19 evaluable patients there were two confirmed partial responses and six stable diseases with manageable myelosuppression.</p>
<p> Conclusion:<br />Tumor-targeted TOP1 delivery paired with a 48-hour gapped olaparib schedule established a recommended Phase 2 dose (CRLX101 12 mg/m² + olaparib 250 mg BID on specified days), produced additive DNA-damage pharmacodynamics, showed preliminary antitumor activity, and was tolerable with expected hematologic toxicity, supporting further evaluation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Tumor-targeted top1 inhibitor delivery with optimized parp inhibition in advanced solid tumors: a phase i trial of gapped scheduling</p>
<p> First author:<br />Nature Communications (2025) 16:9457</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-64509-5</p>
<p> Reference:<br />Nature Communications (2025) 16:9457; https://doi.org/10.1038/s41467-025-64509-5</p>
<p> License:<br />CC BY 4.0 (Creative Commons Attribution 4.0 International License)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/gapped-scheduling-crlx101-olaparib-phase1</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections cover: DDR rationale, TOP1 and PARP inhibitors, CRLX101 nanoparticle delivery, gapped 48-hour scheduling, phase I trial design and dosing, pharmacodynamics (γH2AX) in surrogate tissues, pharmacokinetics, safety/toxicity, clinical efficacy signals (PR/SD), and exploratory genomic analyses.<br />- transcript topics: DNA damage response and PARP/TOP1 inhibitor synergy; CRLX101 nanoparticle delivery and tumor targeting via EPR; Gapped scheduling strategy with a 48-hour interval; Phase I trial design, dosing levels, and RP2D; Pharmacokinetics of CRLX101 and olaparib with no major interaction; Pharmacodynamics: γH2AX as a biomarker in hair follicles and PBMCs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MTD for CRLX101 and olaparib (RP2D) reported as 12 mg/m2 q2w and 250 mg BID on days 3–13 and 17–26<br />- 31-dose escalation with RP2D determined at DL4R<br />- 19 evaluable patients; 2 partial responses; 6 stable disease; median OS 6.06 months; median PFS 2.34 months<br />- γH2AX pharmacodynamics detecte...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nature Communications (2025) 16:9457 et al., Nature Communications - Phase I dose-escalation trial combining CRLX101 (nanoparticle camptothecin) with olaparib using a 48-hour gapped schedule in 24 patients with advanced solid tumors to determine MTD and assess pharmacokinetics, pharmacodynamics, safety, and preliminary efficacy. Key terms: CRLX101, olaparib, PARP inhibitor, topoisomerase I, gapped scheduling.
 Study Highlights:This phase I study combined tumor-targeted CRLX101 with gapped olaparib dosing in 24 heavily pretreated patients to identify a tolerable regimen and probe PD effects. The MTD/RP2D was CRLX101 12 mg/m² every two weeks with olaparib 250 mg twice daily on days 3–13 and 17–26. Pharmacokinetics were consistent with single-agent profiles and γH2AX in hair follicles and PBMCs increased after olaparib, indicating augmented DNA damage. Among 19 evaluable patients there were two confirmed partial responses and six stable diseases with manageable myelosuppression.
 Conclusion:Tumor-targeted TOP1 delivery paired with a 48-hour gapped olaparib schedule established a recommended Phase 2 dose (CRLX101 12 mg/m² + olaparib 250 mg BID on specified days), produced additive DNA-damage pharmacodynamics, showed preliminary antitumor activity, and was tolerable with expected hematologic toxicity, supporting further evaluation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Tumor-targeted top1 inhibitor delivery with optimized parp inhibition in advanced solid tumors: a phase i trial of gapped scheduling
 First author:Nature Communications (2025) 16:9457
 Journal:Nature Communications
 DOI:10.1038/s41467-025-64509-5
 Reference:Nature Communications (2025) 16:9457; https://doi.org/10.1038/s41467-025-64509-5
 License:CC BY 4.0 (Creative Commons Attribution 4.0 International License)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/gapped-scheduling-crlx101-olaparib-phase1
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections cover: DDR rationale, TOP1 and PARP inhibitors, CRLX101 nanoparticle delivery, gapped 48-hour scheduling, phase I trial design and dosing, pharmacodynamics (γH2AX) in surrogate tissues, pharmacokinetics, safety/toxicity, clinical efficacy signals (PR/SD), and exploratory genomic analyses.- transcript topics: DNA damage response and PARP/TOP1 inhibitor synergy; CRLX101 nanoparticle delivery and tumor targeting via EPR; Gapped scheduling strategy with a 48-hour interval; Phase I trial design, dosing levels, and RP2D; Pharmacokinetics of CRLX101 and olaparib with no major interaction; Pharmacodynamics: γH2AX as a biomarker in hair follicles and PBMCs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MTD for CRLX101 and olaparib (RP2D) reported as 12 mg/m2 q2w and 250 mg BID on days 3–13 and 17–26- 31-dose escalation with RP2D determined at DL4R- 19 evaluable patients; 2 partial responses; 6 stable disease; median OS 6.06 months; median PFS 2.34 months- γH2AX pharmacodynamics detecte...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[187: Gapped scheduling: CRLX101 + olaparib Phase I trial]]>
                </itunes:title>
                                    <itunes:episode>187</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nature Communications (2025) 16:9457 et al., Nature Communications - Phase I dose-escalation trial combining CRLX101 (nanoparticle camptothecin) with olaparib using a 48-hour gapped schedule in 24 patients with advanced solid tumors to determine MTD and assess pharmacokinetics, pharmacodynamics, safety, and preliminary efficacy. Key terms: CRLX101, olaparib, PARP inhibitor, topoisomerase I, gapped scheduling.</p>
<p> Study Highlights:<br />This phase I study combined tumor-targeted CRLX101 with gapped olaparib dosing in 24 heavily pretreated patients to identify a tolerable regimen and probe PD effects. The MTD/RP2D was CRLX101 12 mg/m² every two weeks with olaparib 250 mg twice daily on days 3–13 and 17–26. Pharmacokinetics were consistent with single-agent profiles and γH2AX in hair follicles and PBMCs increased after olaparib, indicating augmented DNA damage. Among 19 evaluable patients there were two confirmed partial responses and six stable diseases with manageable myelosuppression.</p>
<p> Conclusion:<br />Tumor-targeted TOP1 delivery paired with a 48-hour gapped olaparib schedule established a recommended Phase 2 dose (CRLX101 12 mg/m² + olaparib 250 mg BID on specified days), produced additive DNA-damage pharmacodynamics, showed preliminary antitumor activity, and was tolerable with expected hematologic toxicity, supporting further evaluation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Tumor-targeted top1 inhibitor delivery with optimized parp inhibition in advanced solid tumors: a phase i trial of gapped scheduling</p>
<p> First author:<br />Nature Communications (2025) 16:9457</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-64509-5</p>
<p> Reference:<br />Nature Communications (2025) 16:9457; https://doi.org/10.1038/s41467-025-64509-5</p>
<p> License:<br />CC BY 4.0 (Creative Commons Attribution 4.0 International License)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/gapped-scheduling-crlx101-olaparib-phase1</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections cover: DDR rationale, TOP1 and PARP inhibitors, CRLX101 nanoparticle delivery, gapped 48-hour scheduling, phase I trial design and dosing, pharmacodynamics (γH2AX) in surrogate tissues, pharmacokinetics, safety/toxicity, clinical efficacy signals (PR/SD), and exploratory genomic analyses.<br />- transcript topics: DNA damage response and PARP/TOP1 inhibitor synergy; CRLX101 nanoparticle delivery and tumor targeting via EPR; Gapped scheduling strategy with a 48-hour interval; Phase I trial design, dosing levels, and RP2D; Pharmacokinetics of CRLX101 and olaparib with no major interaction; Pharmacodynamics: γH2AX as a biomarker in hair follicles and PBMCs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MTD for CRLX101 and olaparib (RP2D) reported as 12 mg/m2 q2w and 250 mg BID on days 3–13 and 17–26<br />- 31-dose escalation with RP2D determined at DL4R<br />- 19 evaluable patients; 2 partial responses; 6 stable disease; median OS 6.06 months; median PFS 2.34 months<br />- γH2AX pharmacodynamics detected in hair follicles and PBMCs, increasing with combination treatment<br />- PK data show CRLX101 and olaparib with no major drug–drug interaction; CRLX101 half-life ~47 hours<br />- Gap scheduling mitigates bone marrow toxicity while allowing higher olaparib dosing</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Nature Communications (2025) 16:9457 et al., Nature Communications - Phase I dose-escalation trial combining CRLX101 (nanoparticle camptothecin) with olaparib using a 48-hour gapped schedule in 24 patients with advanced solid tumors to determine MTD and assess pharmacokinetics, pharmacodynamics, safety, and preliminary efficacy. Key terms: CRLX101, olaparib, PARP inhibitor, topoisomerase I, gapped scheduling.
 Study Highlights:This phase I study combined tumor-targeted CRLX101 with gapped olaparib dosing in 24 heavily pretreated patients to identify a tolerable regimen and probe PD effects. The MTD/RP2D was CRLX101 12 mg/m² every two weeks with olaparib 250 mg twice daily on days 3–13 and 17–26. Pharmacokinetics were consistent with single-agent profiles and γH2AX in hair follicles and PBMCs increased after olaparib, indicating augmented DNA damage. Among 19 evaluable patients there were two confirmed partial responses and six stable diseases with manageable myelosuppression.
 Conclusion:Tumor-targeted TOP1 delivery paired with a 48-hour gapped olaparib schedule established a recommended Phase 2 dose (CRLX101 12 mg/m² + olaparib 250 mg BID on specified days), produced additive DNA-damage pharmacodynamics, showed preliminary antitumor activity, and was tolerable with expected hematologic toxicity, supporting further evaluation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Tumor-targeted top1 inhibitor delivery with optimized parp inhibition in advanced solid tumors: a phase i trial of gapped scheduling
 First author:Nature Communications (2025) 16:9457
 Journal:Nature Communications
 DOI:10.1038/s41467-025-64509-5
 Reference:Nature Communications (2025) 16:9457; https://doi.org/10.1038/s41467-025-64509-5
 License:CC BY 4.0 (Creative Commons Attribution 4.0 International License)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/gapped-scheduling-crlx101-olaparib-phase1
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-11-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections cover: DDR rationale, TOP1 and PARP inhibitors, CRLX101 nanoparticle delivery, gapped 48-hour scheduling, phase I trial design and dosing, pharmacodynamics (γH2AX) in surrogate tissues, pharmacokinetics, safety/toxicity, clinical efficacy signals (PR/SD), and exploratory genomic analyses.- transcript topics: DNA damage response and PARP/TOP1 inhibitor synergy; CRLX101 nanoparticle delivery and tumor targeting via EPR; Gapped scheduling strategy with a 48-hour interval; Phase I trial design, dosing levels, and RP2D; Pharmacokinetics of CRLX101 and olaparib with no major interaction; Pharmacodynamics: γH2AX as a biomarker in hair follicles and PBMCs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MTD for CRLX101 and olaparib (RP2D) reported as 12 mg/m2 q2w and 250 mg BID on days 3–13 and 17–26- 31-dose escalation with RP2D determined at DL4R- 19 evaluable patients; 2 partial responses; 6 stable disease; median OS 6.06 months; median PFS 2.34 months- γH2AX pharmacodynamics detecte...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2185082/c1a-p6xp7-6z8w2grmawkx-4vbenm.png"></itunes:image>
                                                                            <itunes:duration>00:16:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[186: TNFα–TGFβ Axis Disrupts Nasal Epithelium in Post‑COVID Syndrome]]>
                </title>
                <pubDate>Sun, 02 Nov 2025 11:28:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2185074</guid>
                                    <link>https://basebybase.castos.com/episodes/post-covid-nasal-epithelium</link>
                                <description>
                                            <![CDATA[<p>️ Episode 186: TNFα–TGFβ Axis Disrupts Nasal Epithelium in Post‑COVID Syndrome</p>
<p> In this episode of PaperCast Base by Base, we explore a single‑cell RNA‑seq study of nasal biopsies showing that persistent immune signaling—not residual virus—drives aberrant epithelial differentiation in people with post‑COVID syndrome. fileciteturn1file0</p>
<p> Study Highlights:<br />Researchers profiled &gt;56,000 cells from nasal tissue of individuals with moderate or severe post‑COVID syndrome, revealing marked depletion of proximal ciliated cells alongside expansion of basal and immune cell populations. Cell–cell communication and pathway analyses identified heightened TNFα and TGFβ signaling, with MIF–CD74 interactions and downstream NF‑κB/EGFR activity linking immune cells to epithelial remodeling. The team validated causality in air‑liquid interface cultures, where exposure to TGFβ and TNFα—alone and especially in combination—reduced ciliated‑cell differentiation and promoted basal‑cell skewing and EMT‑like programs. Viral RNA was undetectable in biopsies and inflammatory markers typical of acute infection were not elevated, indicating pathology independent of ongoing viral load.</p>
<p> Conclusion:<br />Targeting the TNFα–TGFβ inflammatory axis may help restore normal epithelial differentiation and mitigate respiratory comorbidities in severe post‑COVID syndrome.</p>
<p> Reference:<br />Reddy KD, Maluje Y, Ott F, Saurabh R, Schaaf A, Bohnhorst A, et al. scRNA‑seq reveals persistent aberrant differentiation of nasal epithelium driven by TNFα and TGFβ in post‑COVID syndrome. Nature Communications. 2025;16:9494. <a title="https://doi.org/10.1038/s41467-025-64778-0" href="https://doi.org/10.1038/s41467-025-64778-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64778-0</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 186: TNFα–TGFβ Axis Disrupts Nasal Epithelium in Post‑COVID Syndrome
 In this episode of PaperCast Base by Base, we explore a single‑cell RNA‑seq study of nasal biopsies showing that persistent immune signaling—not residual virus—drives aberrant epithelial differentiation in people with post‑COVID syndrome. fileciteturn1file0
 Study Highlights:Researchers profiled >56,000 cells from nasal tissue of individuals with moderate or severe post‑COVID syndrome, revealing marked depletion of proximal ciliated cells alongside expansion of basal and immune cell populations. Cell–cell communication and pathway analyses identified heightened TNFα and TGFβ signaling, with MIF–CD74 interactions and downstream NF‑κB/EGFR activity linking immune cells to epithelial remodeling. The team validated causality in air‑liquid interface cultures, where exposure to TGFβ and TNFα—alone and especially in combination—reduced ciliated‑cell differentiation and promoted basal‑cell skewing and EMT‑like programs. Viral RNA was undetectable in biopsies and inflammatory markers typical of acute infection were not elevated, indicating pathology independent of ongoing viral load.
 Conclusion:Targeting the TNFα–TGFβ inflammatory axis may help restore normal epithelial differentiation and mitigate respiratory comorbidities in severe post‑COVID syndrome.
 Reference:Reddy KD, Maluje Y, Ott F, Saurabh R, Schaaf A, Bohnhorst A, et al. scRNA‑seq reveals persistent aberrant differentiation of nasal epithelium driven by TNFα and TGFβ in post‑COVID syndrome. Nature Communications. 2025;16:9494. https://doi.org/10.1038/s41467-025-64778-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[186: TNFα–TGFβ Axis Disrupts Nasal Epithelium in Post‑COVID Syndrome]]>
                </itunes:title>
                                    <itunes:episode>186</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 186: TNFα–TGFβ Axis Disrupts Nasal Epithelium in Post‑COVID Syndrome</p>
<p> In this episode of PaperCast Base by Base, we explore a single‑cell RNA‑seq study of nasal biopsies showing that persistent immune signaling—not residual virus—drives aberrant epithelial differentiation in people with post‑COVID syndrome. fileciteturn1file0</p>
<p> Study Highlights:<br />Researchers profiled &gt;56,000 cells from nasal tissue of individuals with moderate or severe post‑COVID syndrome, revealing marked depletion of proximal ciliated cells alongside expansion of basal and immune cell populations. Cell–cell communication and pathway analyses identified heightened TNFα and TGFβ signaling, with MIF–CD74 interactions and downstream NF‑κB/EGFR activity linking immune cells to epithelial remodeling. The team validated causality in air‑liquid interface cultures, where exposure to TGFβ and TNFα—alone and especially in combination—reduced ciliated‑cell differentiation and promoted basal‑cell skewing and EMT‑like programs. Viral RNA was undetectable in biopsies and inflammatory markers typical of acute infection were not elevated, indicating pathology independent of ongoing viral load.</p>
<p> Conclusion:<br />Targeting the TNFα–TGFβ inflammatory axis may help restore normal epithelial differentiation and mitigate respiratory comorbidities in severe post‑COVID syndrome.</p>
<p> Reference:<br />Reddy KD, Maluje Y, Ott F, Saurabh R, Schaaf A, Bohnhorst A, et al. scRNA‑seq reveals persistent aberrant differentiation of nasal epithelium driven by TNFα and TGFβ in post‑COVID syndrome. Nature Communications. 2025;16:9494. <a title="https://doi.org/10.1038/s41467-025-64778-0" href="https://doi.org/10.1038/s41467-025-64778-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64778-0</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[️ Episode 186: TNFα–TGFβ Axis Disrupts Nasal Epithelium in Post‑COVID Syndrome
 In this episode of PaperCast Base by Base, we explore a single‑cell RNA‑seq study of nasal biopsies showing that persistent immune signaling—not residual virus—drives aberrant epithelial differentiation in people with post‑COVID syndrome. fileciteturn1file0
 Study Highlights:Researchers profiled >56,000 cells from nasal tissue of individuals with moderate or severe post‑COVID syndrome, revealing marked depletion of proximal ciliated cells alongside expansion of basal and immune cell populations. Cell–cell communication and pathway analyses identified heightened TNFα and TGFβ signaling, with MIF–CD74 interactions and downstream NF‑κB/EGFR activity linking immune cells to epithelial remodeling. The team validated causality in air‑liquid interface cultures, where exposure to TGFβ and TNFα—alone and especially in combination—reduced ciliated‑cell differentiation and promoted basal‑cell skewing and EMT‑like programs. Viral RNA was undetectable in biopsies and inflammatory markers typical of acute infection were not elevated, indicating pathology independent of ongoing viral load.
 Conclusion:Targeting the TNFα–TGFβ inflammatory axis may help restore normal epithelial differentiation and mitigate respiratory comorbidities in severe post‑COVID syndrome.
 Reference:Reddy KD, Maluje Y, Ott F, Saurabh R, Schaaf A, Bohnhorst A, et al. scRNA‑seq reveals persistent aberrant differentiation of nasal epithelium driven by TNFα and TGFβ in post‑COVID syndrome. Nature Communications. 2025;16:9494. https://doi.org/10.1038/s41467-025-64778-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2185074/c1a-p6xp7-8do8344jhp0z-jymjsy.png"></itunes:image>
                                                                            <itunes:duration>00:15:22</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[185: Altered Milk Tryptophan in Women Living with HIV]]>
                </title>
                <pubDate>Sat, 01 Nov 2025 18:41:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2184139</guid>
                                    <link>https://basebybase.castos.com/episodes/milk-tryptophan-hiv-lactation</link>
                                <description>
                                            <![CDATA[<p>️ Episode 185: Altered Milk Tryptophan in Women Living with HIV</p>
<p> In this episode of PaperCast Base by Base, we explore a longitudinal metabolomics study of human milk that reveals how maternal HIV infection reshapes tryptophan metabolism across lactation, with potential implications for infant immunity, growth, and neurodevelopment.</p>
<p> Study Highlights:<br />The authors profiled the milk metabolome from hundreds of mothers over the first 18 months postpartum and found a robust, sustained decrease in milk tryptophan alongside higher kynurenine and an elevated kynurenine-to-tryptophan ratio in women living with HIV. Targeted quantification at four months confirmed lower tryptophan and higher kynurenine in milk, and paired plasma analyses mirrored these shifts, indicating systemic depletion rather than altered transfer into milk. An initially unknown metabolite was identified as 3’-deoxy-3’,4’-didehydro-cytidine (ddhC), the free base of an interferon‑inducible antiviral ribonucleotide, and cytosine and dimethylarginine were also elevated, consistent with interferon-driven inflammation. A validation cohort of treated women showed concordant directions of effect and a higher KT ratio, supporting generalizability of the signature beyond the primary cohort.</p>
<p> Conclusion:<br />Milk tryptophan depletion and interferon‑linked metabolic remodeling in mothers with HIV may contribute to adverse outcomes in HIV‑exposed, uninfected infants and point to testable interventions targeting the kynurenine pathway.</p>
<p> Reference:<br />Tobin NH, Li F, Zhu W, Ferbas KG, Sleasman JW, Raftery D, Kuhn L, Aldrovandi GM. Altered milk tryptophan and tryptophan metabolites in women living with HIV. Nature Communications. 2025;16:9437. <a title="https://doi.org/10.1038/s41467-025-64566-w" href="https://doi.org/10.1038/s41467-025-64566-w" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64566-w</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 185: Altered Milk Tryptophan in Women Living with HIV
 In this episode of PaperCast Base by Base, we explore a longitudinal metabolomics study of human milk that reveals how maternal HIV infection reshapes tryptophan metabolism across lactation, with potential implications for infant immunity, growth, and neurodevelopment.
 Study Highlights:The authors profiled the milk metabolome from hundreds of mothers over the first 18 months postpartum and found a robust, sustained decrease in milk tryptophan alongside higher kynurenine and an elevated kynurenine-to-tryptophan ratio in women living with HIV. Targeted quantification at four months confirmed lower tryptophan and higher kynurenine in milk, and paired plasma analyses mirrored these shifts, indicating systemic depletion rather than altered transfer into milk. An initially unknown metabolite was identified as 3’-deoxy-3’,4’-didehydro-cytidine (ddhC), the free base of an interferon‑inducible antiviral ribonucleotide, and cytosine and dimethylarginine were also elevated, consistent with interferon-driven inflammation. A validation cohort of treated women showed concordant directions of effect and a higher KT ratio, supporting generalizability of the signature beyond the primary cohort.
 Conclusion:Milk tryptophan depletion and interferon‑linked metabolic remodeling in mothers with HIV may contribute to adverse outcomes in HIV‑exposed, uninfected infants and point to testable interventions targeting the kynurenine pathway.
 Reference:Tobin NH, Li F, Zhu W, Ferbas KG, Sleasman JW, Raftery D, Kuhn L, Aldrovandi GM. Altered milk tryptophan and tryptophan metabolites in women living with HIV. Nature Communications. 2025;16:9437. https://doi.org/10.1038/s41467-025-64566-w
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[185: Altered Milk Tryptophan in Women Living with HIV]]>
                </itunes:title>
                                    <itunes:episode>185</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 185: Altered Milk Tryptophan in Women Living with HIV</p>
<p> In this episode of PaperCast Base by Base, we explore a longitudinal metabolomics study of human milk that reveals how maternal HIV infection reshapes tryptophan metabolism across lactation, with potential implications for infant immunity, growth, and neurodevelopment.</p>
<p> Study Highlights:<br />The authors profiled the milk metabolome from hundreds of mothers over the first 18 months postpartum and found a robust, sustained decrease in milk tryptophan alongside higher kynurenine and an elevated kynurenine-to-tryptophan ratio in women living with HIV. Targeted quantification at four months confirmed lower tryptophan and higher kynurenine in milk, and paired plasma analyses mirrored these shifts, indicating systemic depletion rather than altered transfer into milk. An initially unknown metabolite was identified as 3’-deoxy-3’,4’-didehydro-cytidine (ddhC), the free base of an interferon‑inducible antiviral ribonucleotide, and cytosine and dimethylarginine were also elevated, consistent with interferon-driven inflammation. A validation cohort of treated women showed concordant directions of effect and a higher KT ratio, supporting generalizability of the signature beyond the primary cohort.</p>
<p> Conclusion:<br />Milk tryptophan depletion and interferon‑linked metabolic remodeling in mothers with HIV may contribute to adverse outcomes in HIV‑exposed, uninfected infants and point to testable interventions targeting the kynurenine pathway.</p>
<p> Reference:<br />Tobin NH, Li F, Zhu W, Ferbas KG, Sleasman JW, Raftery D, Kuhn L, Aldrovandi GM. Altered milk tryptophan and tryptophan metabolites in women living with HIV. Nature Communications. 2025;16:9437. <a title="https://doi.org/10.1038/s41467-025-64566-w" href="https://doi.org/10.1038/s41467-025-64566-w" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64566-w</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 185: Altered Milk Tryptophan in Women Living with HIV
 In this episode of PaperCast Base by Base, we explore a longitudinal metabolomics study of human milk that reveals how maternal HIV infection reshapes tryptophan metabolism across lactation, with potential implications for infant immunity, growth, and neurodevelopment.
 Study Highlights:The authors profiled the milk metabolome from hundreds of mothers over the first 18 months postpartum and found a robust, sustained decrease in milk tryptophan alongside higher kynurenine and an elevated kynurenine-to-tryptophan ratio in women living with HIV. Targeted quantification at four months confirmed lower tryptophan and higher kynurenine in milk, and paired plasma analyses mirrored these shifts, indicating systemic depletion rather than altered transfer into milk. An initially unknown metabolite was identified as 3’-deoxy-3’,4’-didehydro-cytidine (ddhC), the free base of an interferon‑inducible antiviral ribonucleotide, and cytosine and dimethylarginine were also elevated, consistent with interferon-driven inflammation. A validation cohort of treated women showed concordant directions of effect and a higher KT ratio, supporting generalizability of the signature beyond the primary cohort.
 Conclusion:Milk tryptophan depletion and interferon‑linked metabolic remodeling in mothers with HIV may contribute to adverse outcomes in HIV‑exposed, uninfected infants and point to testable interventions targeting the kynurenine pathway.
 Reference:Tobin NH, Li F, Zhu W, Ferbas KG, Sleasman JW, Raftery D, Kuhn L, Aldrovandi GM. Altered milk tryptophan and tryptophan metabolites in women living with HIV. Nature Communications. 2025;16:9437. https://doi.org/10.1038/s41467-025-64566-w
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2184139/c1a-p6xp7-7zx8zjonh32o-r3iukb.png"></itunes:image>
                                                                            <itunes:duration>00:14:59</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[184: High-Accuracy Multiethnic XGBoost for Skin Cancer Identification]]>
                </title>
                <pubDate>Fri, 31 Oct 2025 17:08:06 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2177396</guid>
                                    <link>https://basebybase.castos.com/episodes/multiethnic-xgboost-skin-cancer</link>
                                <description>
                                            <![CDATA[<p>️ Episode 184: High-Accuracy Multiethnic XGBoost for Skin Cancer Identification</p>
<p> In this episode of PaperCast Base by Base, we explore a large-scale study that builds a risk factor–based XGBoost model using the All of Us cohort to accurately identify patients with skin cancer across diverse ancestries.</p>
<p> Study Highlights:<br />Analyzing more than 400,000 participants, the authors quantify independent associations between genetic ancestry, lifestyle, social determinants of health, prior cancer history, and use of PDE5A inhibitors with skin cancer risk. They compare traditional logistic regression against gradient-boosted trees and show that logistic models have low precision for case identification, motivating a non-linear approach. The resulting multiethnic XGBoost model achieves high accuracy for identifying patients with any skin cancer, with F1 scores of 0.903 in individuals of European ancestry and 0.810 in non-European groups. SHAP importance and interaction analyses reveal strong non-linear effects of age and genotype principal components, and suggest that genetic and socioeconomic factors contribute more heavily to predictions in younger individuals.</p>
<p> Conclusion:<br />A multiethnic, non-linear model that integrates genetics, lifestyle, social determinants, and medication exposures can substantially improve early identification of skin cancer patients across ancestries, offering a precision-medicine tool to help reduce outcome disparities.</p>
<p> Reference:<br />D’Antonio M, Gonzalez Rivera WG, Greenes RA, Gymrek M, Frazer KA. A highly accurate risk factor–based XGBoost multiethnic model for identifying patients with skin cancer. Nature Communications. 2025;16:9542. <a title="https://doi.org/10.1038/s41467-025-64556-y" href="https://doi.org/10.1038/s41467-025-64556-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64556-y</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 184: High-Accuracy Multiethnic XGBoost for Skin Cancer Identification
 In this episode of PaperCast Base by Base, we explore a large-scale study that builds a risk factor–based XGBoost model using the All of Us cohort to accurately identify patients with skin cancer across diverse ancestries.
 Study Highlights:Analyzing more than 400,000 participants, the authors quantify independent associations between genetic ancestry, lifestyle, social determinants of health, prior cancer history, and use of PDE5A inhibitors with skin cancer risk. They compare traditional logistic regression against gradient-boosted trees and show that logistic models have low precision for case identification, motivating a non-linear approach. The resulting multiethnic XGBoost model achieves high accuracy for identifying patients with any skin cancer, with F1 scores of 0.903 in individuals of European ancestry and 0.810 in non-European groups. SHAP importance and interaction analyses reveal strong non-linear effects of age and genotype principal components, and suggest that genetic and socioeconomic factors contribute more heavily to predictions in younger individuals.
 Conclusion:A multiethnic, non-linear model that integrates genetics, lifestyle, social determinants, and medication exposures can substantially improve early identification of skin cancer patients across ancestries, offering a precision-medicine tool to help reduce outcome disparities.
 Reference:D’Antonio M, Gonzalez Rivera WG, Greenes RA, Gymrek M, Frazer KA. A highly accurate risk factor–based XGBoost multiethnic model for identifying patients with skin cancer. Nature Communications. 2025;16:9542. https://doi.org/10.1038/s41467-025-64556-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[184: High-Accuracy Multiethnic XGBoost for Skin Cancer Identification]]>
                </itunes:title>
                                    <itunes:episode>184</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 184: High-Accuracy Multiethnic XGBoost for Skin Cancer Identification</p>
<p> In this episode of PaperCast Base by Base, we explore a large-scale study that builds a risk factor–based XGBoost model using the All of Us cohort to accurately identify patients with skin cancer across diverse ancestries.</p>
<p> Study Highlights:<br />Analyzing more than 400,000 participants, the authors quantify independent associations between genetic ancestry, lifestyle, social determinants of health, prior cancer history, and use of PDE5A inhibitors with skin cancer risk. They compare traditional logistic regression against gradient-boosted trees and show that logistic models have low precision for case identification, motivating a non-linear approach. The resulting multiethnic XGBoost model achieves high accuracy for identifying patients with any skin cancer, with F1 scores of 0.903 in individuals of European ancestry and 0.810 in non-European groups. SHAP importance and interaction analyses reveal strong non-linear effects of age and genotype principal components, and suggest that genetic and socioeconomic factors contribute more heavily to predictions in younger individuals.</p>
<p> Conclusion:<br />A multiethnic, non-linear model that integrates genetics, lifestyle, social determinants, and medication exposures can substantially improve early identification of skin cancer patients across ancestries, offering a precision-medicine tool to help reduce outcome disparities.</p>
<p> Reference:<br />D’Antonio M, Gonzalez Rivera WG, Greenes RA, Gymrek M, Frazer KA. A highly accurate risk factor–based XGBoost multiethnic model for identifying patients with skin cancer. Nature Communications. 2025;16:9542. <a title="https://doi.org/10.1038/s41467-025-64556-y" href="https://doi.org/10.1038/s41467-025-64556-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64556-y</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 184: High-Accuracy Multiethnic XGBoost for Skin Cancer Identification
 In this episode of PaperCast Base by Base, we explore a large-scale study that builds a risk factor–based XGBoost model using the All of Us cohort to accurately identify patients with skin cancer across diverse ancestries.
 Study Highlights:Analyzing more than 400,000 participants, the authors quantify independent associations between genetic ancestry, lifestyle, social determinants of health, prior cancer history, and use of PDE5A inhibitors with skin cancer risk. They compare traditional logistic regression against gradient-boosted trees and show that logistic models have low precision for case identification, motivating a non-linear approach. The resulting multiethnic XGBoost model achieves high accuracy for identifying patients with any skin cancer, with F1 scores of 0.903 in individuals of European ancestry and 0.810 in non-European groups. SHAP importance and interaction analyses reveal strong non-linear effects of age and genotype principal components, and suggest that genetic and socioeconomic factors contribute more heavily to predictions in younger individuals.
 Conclusion:A multiethnic, non-linear model that integrates genetics, lifestyle, social determinants, and medication exposures can substantially improve early identification of skin cancer patients across ancestries, offering a precision-medicine tool to help reduce outcome disparities.
 Reference:D’Antonio M, Gonzalez Rivera WG, Greenes RA, Gymrek M, Frazer KA. A highly accurate risk factor–based XGBoost multiethnic model for identifying patients with skin cancer. Nature Communications. 2025;16:9542. https://doi.org/10.1038/s41467-025-64556-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2177396/c1a-p6xp7-pkvwqmnrcjk0-cvbi1c.png"></itunes:image>
                                                                            <itunes:duration>00:17:44</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[183: The Genetic Lottery Goes to School: Better Schools Compensate for Genetic Differences]]>
                </title>
                <pubDate>Thu, 30 Oct 2025 09:34:08 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2175862</guid>
                                    <link>https://basebybase.castos.com/episodes/better-schools-compensate-genetic-differences</link>
                                <description>
                                            <![CDATA[<p>️ Episode 183: The Genetic Lottery Goes to School: Better Schools Compensate for Genetic Differences</p>
<p> In this episode of PaperCast Base by Base, we explore a large causal study from Norway asking whether school quality can offset genetic differences in students’ academic skills. Using parent–offspring genetic trios from the Norwegian Mother, Father, and Child Cohort (MoBa) and nationwide administrative data, the authors combine within-family polygenic indices for educational attainment with school value-added measures to test if better schools compensate for genetic disparities.</p>
<p> Study Highlights:<br />The researchers computed polygenic indices for educational attainment for children while controlling for parental indices to isolate random within-family genetic variation and paired these with causal value-added estimates of school quality derived from population registers. They found a negative gene–environment interaction for reading, indicating that higher-quality schools reduce the impact of polygenic differences on reading scores by about six percent per one standard deviation of school quality exposure in grade 8, with the effect driven by gains among students at the lower end of the polygenic index distribution. For numeracy, the interaction was null despite clear main effects of both genetics and school value-added, a pattern consistent with higher persistence of numeracy skills during this developmental period. Validation analyses supported exogeneity of the within-family genetic component and of the school value-added measures, and sensitivity checks suggested that the findings are not artifacts of test scaling or ceiling effects. fileciteturn0file0</p>
<p> Conclusion:<br />In a causally identified framework, better schools can partially compensate for genetic differences in reading but not numeracy during lower secondary school, implying that investments in school quality may narrow genetically correlated gaps in foundational literacy.</p>
<p> Reference:<br />Cheesman R, Borgen N, Sandsør AMJ, Hufe P. The genetic lottery goes to school: Better schools compensate for the effects of students’ genetic differences. Proceedings of the National Academy of Sciences. 2025;122(43):e2511715122. <a title="https://doi.org/10.1073/pnas.2511715122" href="https://doi.org/10.1073/pnas.2511715122" target="_blank" rel="noreferrer noopener">https://doi.org/10.1073/pnas.2511715122</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 183: The Genetic Lottery Goes to School: Better Schools Compensate for Genetic Differences
 In this episode of PaperCast Base by Base, we explore a large causal study from Norway asking whether school quality can offset genetic differences in students’ academic skills. Using parent–offspring genetic trios from the Norwegian Mother, Father, and Child Cohort (MoBa) and nationwide administrative data, the authors combine within-family polygenic indices for educational attainment with school value-added measures to test if better schools compensate for genetic disparities.
 Study Highlights:The researchers computed polygenic indices for educational attainment for children while controlling for parental indices to isolate random within-family genetic variation and paired these with causal value-added estimates of school quality derived from population registers. They found a negative gene–environment interaction for reading, indicating that higher-quality schools reduce the impact of polygenic differences on reading scores by about six percent per one standard deviation of school quality exposure in grade 8, with the effect driven by gains among students at the lower end of the polygenic index distribution. For numeracy, the interaction was null despite clear main effects of both genetics and school value-added, a pattern consistent with higher persistence of numeracy skills during this developmental period. Validation analyses supported exogeneity of the within-family genetic component and of the school value-added measures, and sensitivity checks suggested that the findings are not artifacts of test scaling or ceiling effects. fileciteturn0file0
 Conclusion:In a causally identified framework, better schools can partially compensate for genetic differences in reading but not numeracy during lower secondary school, implying that investments in school quality may narrow genetically correlated gaps in foundational literacy.
 Reference:Cheesman R, Borgen N, Sandsør AMJ, Hufe P. The genetic lottery goes to school: Better schools compensate for the effects of students’ genetic differences. Proceedings of the National Academy of Sciences. 2025;122(43):e2511715122. https://doi.org/10.1073/pnas.2511715122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[183: The Genetic Lottery Goes to School: Better Schools Compensate for Genetic Differences]]>
                </itunes:title>
                                    <itunes:episode>183</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 183: The Genetic Lottery Goes to School: Better Schools Compensate for Genetic Differences</p>
<p> In this episode of PaperCast Base by Base, we explore a large causal study from Norway asking whether school quality can offset genetic differences in students’ academic skills. Using parent–offspring genetic trios from the Norwegian Mother, Father, and Child Cohort (MoBa) and nationwide administrative data, the authors combine within-family polygenic indices for educational attainment with school value-added measures to test if better schools compensate for genetic disparities.</p>
<p> Study Highlights:<br />The researchers computed polygenic indices for educational attainment for children while controlling for parental indices to isolate random within-family genetic variation and paired these with causal value-added estimates of school quality derived from population registers. They found a negative gene–environment interaction for reading, indicating that higher-quality schools reduce the impact of polygenic differences on reading scores by about six percent per one standard deviation of school quality exposure in grade 8, with the effect driven by gains among students at the lower end of the polygenic index distribution. For numeracy, the interaction was null despite clear main effects of both genetics and school value-added, a pattern consistent with higher persistence of numeracy skills during this developmental period. Validation analyses supported exogeneity of the within-family genetic component and of the school value-added measures, and sensitivity checks suggested that the findings are not artifacts of test scaling or ceiling effects. fileciteturn0file0</p>
<p> Conclusion:<br />In a causally identified framework, better schools can partially compensate for genetic differences in reading but not numeracy during lower secondary school, implying that investments in school quality may narrow genetically correlated gaps in foundational literacy.</p>
<p> Reference:<br />Cheesman R, Borgen N, Sandsør AMJ, Hufe P. The genetic lottery goes to school: Better schools compensate for the effects of students’ genetic differences. Proceedings of the National Academy of Sciences. 2025;122(43):e2511715122. <a title="https://doi.org/10.1073/pnas.2511715122" href="https://doi.org/10.1073/pnas.2511715122" target="_blank" rel="noreferrer noopener">https://doi.org/10.1073/pnas.2511715122</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                    <![CDATA[️ Episode 183: The Genetic Lottery Goes to School: Better Schools Compensate for Genetic Differences
 In this episode of PaperCast Base by Base, we explore a large causal study from Norway asking whether school quality can offset genetic differences in students’ academic skills. Using parent–offspring genetic trios from the Norwegian Mother, Father, and Child Cohort (MoBa) and nationwide administrative data, the authors combine within-family polygenic indices for educational attainment with school value-added measures to test if better schools compensate for genetic disparities.
 Study Highlights:The researchers computed polygenic indices for educational attainment for children while controlling for parental indices to isolate random within-family genetic variation and paired these with causal value-added estimates of school quality derived from population registers. They found a negative gene–environment interaction for reading, indicating that higher-quality schools reduce the impact of polygenic differences on reading scores by about six percent per one standard deviation of school quality exposure in grade 8, with the effect driven by gains among students at the lower end of the polygenic index distribution. For numeracy, the interaction was null despite clear main effects of both genetics and school value-added, a pattern consistent with higher persistence of numeracy skills during this developmental period. Validation analyses supported exogeneity of the within-family genetic component and of the school value-added measures, and sensitivity checks suggested that the findings are not artifacts of test scaling or ceiling effects. fileciteturn0file0
 Conclusion:In a causally identified framework, better schools can partially compensate for genetic differences in reading but not numeracy during lower secondary school, implying that investments in school quality may narrow genetically correlated gaps in foundational literacy.
 Reference:Cheesman R, Borgen N, Sandsør AMJ, Hufe P. The genetic lottery goes to school: Better schools compensate for the effects of students’ genetic differences. Proceedings of the National Academy of Sciences. 2025;122(43):e2511715122. https://doi.org/10.1073/pnas.2511715122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2175862/c1a-p6xp7-jpnqqn00i868-akmdfw.png"></itunes:image>
                                                                            <itunes:duration>00:18:05</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[182: Genotypic, Functional, and Phenotypic Characterization in CTNNB1 Neurodevelopmental Syndrome]]>
                </title>
                <pubDate>Wed, 29 Oct 2025 09:10:58 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2174990</guid>
                                    <link>https://basebybase.castos.com/episodes/genotypic-functional-and-phenotypic-characterization-in-ctnnb1</link>
                                <description>
                                            <![CDATA[<p>️ Episode 182: Genotypic, Functional, and Phenotypic Characterization in CTNNB1 Neurodevelopmental Syndrome</p>
<p> In this episode of PaperCast Base by Base, we explore a large cross-sectional cohort study that integrates genetics, cellular functional assays, and deep phenotyping to map the landscape of CTNNB1 neurodevelopmental syndrome. The authors analyze variant types across 127 individuals from 20 countries, probe Wnt/β-catenin signaling consequences in vitro, and connect genotypes to clinical trajectories and everyday function.</p>
<p> Study Highlights:<br />The cohort revealed 88 distinct CTNNB1 variants with a strong enrichment for predicted loss-of-function changes, and functional luciferase assays confirmed reduced Wnt/β-catenin pathway activity for most variants. A subset of truncating variants showed dominant-negative behavior, while a rare missense change (G575R) behaved as a gain-of-function with increased protein stability and signaling. Systematic clinical assessments documented frequent motor impairment, hypotonia, dysmorphic features, visual issues such as strabismus, and developmental delays including later independent walking. Missense variants tended to associate with comparatively milder phenotypes, with earlier walking and better communication, social, and feeding skills than frameshift, nonsense, splice, or deletion variants.</p>
<p> Conclusion:<br />By combining genomic curation, mechanistic assays, and standardized clinical measures, this study refines the natural history of CTNNB1 syndrome and highlights therapeutic avenues that may upregulate CTNNB1 expression while cautioning about variant-specific effects.</p>
<p> Reference:<br />Zakelj N, Gosar D, Miroševič Š, Sanders SJ, Ljungdahl A, Kohani S, Huang S, Leong LI, An Y, Teo MJ, Moultrie F, Jerala R, Lainšek D, Forstnerič V, Sušjan P, Lisowski L, Perez-Iturralde A, Orazem Mrak J, Chan HYE, Osredkar D. Genotypic, functional, and phenotypic characterization in CTNNB1 neurodevelopmental syndrome. Human Genetics and Genomics Advances. 2025;6:100483. <a title="https://doi.org/10.1016/j.xhgg.2025.100483" href="https://doi.org/10.1016/j.xhgg.2025.100483" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xhgg.2025.100483</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) –<a title="https://creativecommons.org/licenses/by/4.0/" href="%20https%3A/creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener"> https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 182: Genotypic, Functional, and Phenotypic Characterization in CTNNB1 Neurodevelopmental Syndrome
 In this episode of PaperCast Base by Base, we explore a large cross-sectional cohort study that integrates genetics, cellular functional assays, and deep phenotyping to map the landscape of CTNNB1 neurodevelopmental syndrome. The authors analyze variant types across 127 individuals from 20 countries, probe Wnt/β-catenin signaling consequences in vitro, and connect genotypes to clinical trajectories and everyday function.
 Study Highlights:The cohort revealed 88 distinct CTNNB1 variants with a strong enrichment for predicted loss-of-function changes, and functional luciferase assays confirmed reduced Wnt/β-catenin pathway activity for most variants. A subset of truncating variants showed dominant-negative behavior, while a rare missense change (G575R) behaved as a gain-of-function with increased protein stability and signaling. Systematic clinical assessments documented frequent motor impairment, hypotonia, dysmorphic features, visual issues such as strabismus, and developmental delays including later independent walking. Missense variants tended to associate with comparatively milder phenotypes, with earlier walking and better communication, social, and feeding skills than frameshift, nonsense, splice, or deletion variants.
 Conclusion:By combining genomic curation, mechanistic assays, and standardized clinical measures, this study refines the natural history of CTNNB1 syndrome and highlights therapeutic avenues that may upregulate CTNNB1 expression while cautioning about variant-specific effects.
 Reference:Zakelj N, Gosar D, Miroševič Š, Sanders SJ, Ljungdahl A, Kohani S, Huang S, Leong LI, An Y, Teo MJ, Moultrie F, Jerala R, Lainšek D, Forstnerič V, Sušjan P, Lisowski L, Perez-Iturralde A, Orazem Mrak J, Chan HYE, Osredkar D. Genotypic, functional, and phenotypic characterization in CTNNB1 neurodevelopmental syndrome. Human Genetics and Genomics Advances. 2025;6:100483. https://doi.org/10.1016/j.xhgg.2025.100483
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[182: Genotypic, Functional, and Phenotypic Characterization in CTNNB1 Neurodevelopmental Syndrome]]>
                </itunes:title>
                                    <itunes:episode>182</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 182: Genotypic, Functional, and Phenotypic Characterization in CTNNB1 Neurodevelopmental Syndrome</p>
<p> In this episode of PaperCast Base by Base, we explore a large cross-sectional cohort study that integrates genetics, cellular functional assays, and deep phenotyping to map the landscape of CTNNB1 neurodevelopmental syndrome. The authors analyze variant types across 127 individuals from 20 countries, probe Wnt/β-catenin signaling consequences in vitro, and connect genotypes to clinical trajectories and everyday function.</p>
<p> Study Highlights:<br />The cohort revealed 88 distinct CTNNB1 variants with a strong enrichment for predicted loss-of-function changes, and functional luciferase assays confirmed reduced Wnt/β-catenin pathway activity for most variants. A subset of truncating variants showed dominant-negative behavior, while a rare missense change (G575R) behaved as a gain-of-function with increased protein stability and signaling. Systematic clinical assessments documented frequent motor impairment, hypotonia, dysmorphic features, visual issues such as strabismus, and developmental delays including later independent walking. Missense variants tended to associate with comparatively milder phenotypes, with earlier walking and better communication, social, and feeding skills than frameshift, nonsense, splice, or deletion variants.</p>
<p> Conclusion:<br />By combining genomic curation, mechanistic assays, and standardized clinical measures, this study refines the natural history of CTNNB1 syndrome and highlights therapeutic avenues that may upregulate CTNNB1 expression while cautioning about variant-specific effects.</p>
<p> Reference:<br />Zakelj N, Gosar D, Miroševič Š, Sanders SJ, Ljungdahl A, Kohani S, Huang S, Leong LI, An Y, Teo MJ, Moultrie F, Jerala R, Lainšek D, Forstnerič V, Sušjan P, Lisowski L, Perez-Iturralde A, Orazem Mrak J, Chan HYE, Osredkar D. Genotypic, functional, and phenotypic characterization in CTNNB1 neurodevelopmental syndrome. Human Genetics and Genomics Advances. 2025;6:100483. <a title="https://doi.org/10.1016/j.xhgg.2025.100483" href="https://doi.org/10.1016/j.xhgg.2025.100483" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xhgg.2025.100483</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) –<a title="https://creativecommons.org/licenses/by/4.0/" href="%20https%3A/creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener"> https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 182: Genotypic, Functional, and Phenotypic Characterization in CTNNB1 Neurodevelopmental Syndrome
 In this episode of PaperCast Base by Base, we explore a large cross-sectional cohort study that integrates genetics, cellular functional assays, and deep phenotyping to map the landscape of CTNNB1 neurodevelopmental syndrome. The authors analyze variant types across 127 individuals from 20 countries, probe Wnt/β-catenin signaling consequences in vitro, and connect genotypes to clinical trajectories and everyday function.
 Study Highlights:The cohort revealed 88 distinct CTNNB1 variants with a strong enrichment for predicted loss-of-function changes, and functional luciferase assays confirmed reduced Wnt/β-catenin pathway activity for most variants. A subset of truncating variants showed dominant-negative behavior, while a rare missense change (G575R) behaved as a gain-of-function with increased protein stability and signaling. Systematic clinical assessments documented frequent motor impairment, hypotonia, dysmorphic features, visual issues such as strabismus, and developmental delays including later independent walking. Missense variants tended to associate with comparatively milder phenotypes, with earlier walking and better communication, social, and feeding skills than frameshift, nonsense, splice, or deletion variants.
 Conclusion:By combining genomic curation, mechanistic assays, and standardized clinical measures, this study refines the natural history of CTNNB1 syndrome and highlights therapeutic avenues that may upregulate CTNNB1 expression while cautioning about variant-specific effects.
 Reference:Zakelj N, Gosar D, Miroševič Š, Sanders SJ, Ljungdahl A, Kohani S, Huang S, Leong LI, An Y, Teo MJ, Moultrie F, Jerala R, Lainšek D, Forstnerič V, Sušjan P, Lisowski L, Perez-Iturralde A, Orazem Mrak J, Chan HYE, Osredkar D. Genotypic, functional, and phenotypic characterization in CTNNB1 neurodevelopmental syndrome. Human Genetics and Genomics Advances. 2025;6:100483. https://doi.org/10.1016/j.xhgg.2025.100483
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2174990/c1a-p6xp7-8doo6kz2cr01-mzm4fb.png"></itunes:image>
                                                                            <itunes:duration>00:16:18</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[181: Creatine Transporter SLC6A8: Conservation and Variant Impact]]>
                </title>
                <pubDate>Tue, 28 Oct 2025 17:14:53 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2174348</guid>
                                    <link>https://basebybase.castos.com/episodes/slc6a8-conservation-and-pathogenic-variants-creatine-transport</link>
                                <description>
                                            <![CDATA[<p>️ Episode 181: Creatine Transporter SLC6A8: Conservation and Variant Impact</p>
<p> In this episode of PaperCast Base by Base, we explore how the creatine transporter gene SLC6A8 (CRT1) is evolutionarily conserved across terrestrial mammals and how disease-associated variants alter creatine uptake in vitro, shedding light on genotype–phenotype relationships in creatine transporter deficiency. fileciteturn0file0</p>
<p> Study Highlights:<br />The authors compared CRT1 amino acid sequences among multiple species and found striking conservation, with human transmembrane domains 1–10 identical across the mammals analyzed and most interspecies differences confined to terminal or loop regions. They curated benign and pathogenic missense variants from public databases and mapped them onto CRT1, observing that missense changes in N‑ and C‑termini are more often tolerated, whereas variants within core transmembrane domains and specific loop regions are frequently pathogenic. Functional assays in transfected cells demonstrated that eight of nine tested patient variants—most located in transmembrane segments—caused severe reductions in creatine transport, while a peripheral extracellular loop variant produced a more modest decrease. Integrating intolerance profiling with phylogenetic and experimental data, the study highlights a hotspot between amino acids 305–415 and underscores strong structural constraints that shape CRT1 function.</p>
<p> Conclusion:<br />Together, these results provide a practical framework for interpreting SLC6A8 variants in the clinic and suggest that domain-aware assessments can better predict which alterations are likely to impair creatine transport and contribute to neurodevelopmental disease.</p>
<p> Reference:<br />Diep T, Lipshutz GS. Evaluation of SLC6A8 species conservation and the effect of pathogenic variants on creatine transport. Human Genetics and Genomics Advances. 2025;6:100489. <a title="https://doi.org/10.1016/j.xhgg.2025.100489" href="https://doi.org/10.1016/j.xhgg.2025.100489" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xhgg.2025.100489</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 181: Creatine Transporter SLC6A8: Conservation and Variant Impact
 In this episode of PaperCast Base by Base, we explore how the creatine transporter gene SLC6A8 (CRT1) is evolutionarily conserved across terrestrial mammals and how disease-associated variants alter creatine uptake in vitro, shedding light on genotype–phenotype relationships in creatine transporter deficiency. fileciteturn0file0
 Study Highlights:The authors compared CRT1 amino acid sequences among multiple species and found striking conservation, with human transmembrane domains 1–10 identical across the mammals analyzed and most interspecies differences confined to terminal or loop regions. They curated benign and pathogenic missense variants from public databases and mapped them onto CRT1, observing that missense changes in N‑ and C‑termini are more often tolerated, whereas variants within core transmembrane domains and specific loop regions are frequently pathogenic. Functional assays in transfected cells demonstrated that eight of nine tested patient variants—most located in transmembrane segments—caused severe reductions in creatine transport, while a peripheral extracellular loop variant produced a more modest decrease. Integrating intolerance profiling with phylogenetic and experimental data, the study highlights a hotspot between amino acids 305–415 and underscores strong structural constraints that shape CRT1 function.
 Conclusion:Together, these results provide a practical framework for interpreting SLC6A8 variants in the clinic and suggest that domain-aware assessments can better predict which alterations are likely to impair creatine transport and contribute to neurodevelopmental disease.
 Reference:Diep T, Lipshutz GS. Evaluation of SLC6A8 species conservation and the effect of pathogenic variants on creatine transport. Human Genetics and Genomics Advances. 2025;6:100489. https://doi.org/10.1016/j.xhgg.2025.100489
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[181: Creatine Transporter SLC6A8: Conservation and Variant Impact]]>
                </itunes:title>
                                    <itunes:episode>181</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 181: Creatine Transporter SLC6A8: Conservation and Variant Impact</p>
<p> In this episode of PaperCast Base by Base, we explore how the creatine transporter gene SLC6A8 (CRT1) is evolutionarily conserved across terrestrial mammals and how disease-associated variants alter creatine uptake in vitro, shedding light on genotype–phenotype relationships in creatine transporter deficiency. fileciteturn0file0</p>
<p> Study Highlights:<br />The authors compared CRT1 amino acid sequences among multiple species and found striking conservation, with human transmembrane domains 1–10 identical across the mammals analyzed and most interspecies differences confined to terminal or loop regions. They curated benign and pathogenic missense variants from public databases and mapped them onto CRT1, observing that missense changes in N‑ and C‑termini are more often tolerated, whereas variants within core transmembrane domains and specific loop regions are frequently pathogenic. Functional assays in transfected cells demonstrated that eight of nine tested patient variants—most located in transmembrane segments—caused severe reductions in creatine transport, while a peripheral extracellular loop variant produced a more modest decrease. Integrating intolerance profiling with phylogenetic and experimental data, the study highlights a hotspot between amino acids 305–415 and underscores strong structural constraints that shape CRT1 function.</p>
<p> Conclusion:<br />Together, these results provide a practical framework for interpreting SLC6A8 variants in the clinic and suggest that domain-aware assessments can better predict which alterations are likely to impair creatine transport and contribute to neurodevelopmental disease.</p>
<p> Reference:<br />Diep T, Lipshutz GS. Evaluation of SLC6A8 species conservation and the effect of pathogenic variants on creatine transport. Human Genetics and Genomics Advances. 2025;6:100489. <a title="https://doi.org/10.1016/j.xhgg.2025.100489" href="https://doi.org/10.1016/j.xhgg.2025.100489" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xhgg.2025.100489</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 181: Creatine Transporter SLC6A8: Conservation and Variant Impact
 In this episode of PaperCast Base by Base, we explore how the creatine transporter gene SLC6A8 (CRT1) is evolutionarily conserved across terrestrial mammals and how disease-associated variants alter creatine uptake in vitro, shedding light on genotype–phenotype relationships in creatine transporter deficiency. fileciteturn0file0
 Study Highlights:The authors compared CRT1 amino acid sequences among multiple species and found striking conservation, with human transmembrane domains 1–10 identical across the mammals analyzed and most interspecies differences confined to terminal or loop regions. They curated benign and pathogenic missense variants from public databases and mapped them onto CRT1, observing that missense changes in N‑ and C‑termini are more often tolerated, whereas variants within core transmembrane domains and specific loop regions are frequently pathogenic. Functional assays in transfected cells demonstrated that eight of nine tested patient variants—most located in transmembrane segments—caused severe reductions in creatine transport, while a peripheral extracellular loop variant produced a more modest decrease. Integrating intolerance profiling with phylogenetic and experimental data, the study highlights a hotspot between amino acids 305–415 and underscores strong structural constraints that shape CRT1 function.
 Conclusion:Together, these results provide a practical framework for interpreting SLC6A8 variants in the clinic and suggest that domain-aware assessments can better predict which alterations are likely to impair creatine transport and contribute to neurodevelopmental disease.
 Reference:Diep T, Lipshutz GS. Evaluation of SLC6A8 species conservation and the effect of pathogenic variants on creatine transport. Human Genetics and Genomics Advances. 2025;6:100489. https://doi.org/10.1016/j.xhgg.2025.100489
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2174348/c1a-p6xp7-mkwwzd04uqz3-8qdhji.png"></itunes:image>
                                                                            <itunes:duration>00:12:44</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[180: Leveraging Global Genetics Resources for Equitable Polygenic Prediction]]>
                </title>
                <pubDate>Mon, 27 Oct 2025 08:53:52 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
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                                    <link>https://basebybase.castos.com/episodes/leveraging-global-genetics-resources-for-equitable-polygenic</link>
                                <description>
                                            <![CDATA[<p>️ Episode 180: Leveraging Global Genetics Resources for Equitable Polygenic Prediction</p>
<p> In this episode of PaperCast Base by Base, we explore how multi-ancestry genome-wide association study resources and modern polygenic score methodologies can improve prediction accuracy across African, East Asian, and European populations, with a focus on practical, computationally efficient strategies that work even when individual-level data are unavailable.</p>
<p> Study Highlights:<br />This article systematically benchmarks leading single-source and multi-source polygenic score methods across 10 complex traits using GWAS summary statistics from Ugandan Genome Resource, Biobank Japan, UK Biobank, and the Million Veteran Program. The authors show that combining ancestry-aligned and European GWAS improves prediction in non-European targets and that independently optimized multi-source approaches often outperform jointly optimized methods while being far more computationally efficient. They introduce a generalizable use of the LEOPARD framework to estimate optimal linear combinations of population-specific scores using only summary statistics, achieving performance comparable to individual-level tuning in many settings. All methods are implemented in the GenoPred pipeline, providing an accessible, reference-standardized workflow for equitable polygenic prediction across diverse populations.</p>
<p> Conclusion:<br />Multi-source, summary-statistics–friendly approaches implemented in GenoPred offer a practical path to more accurate and equitable polygenic prediction, particularly when leveraging diverse GWAS resources and efficient tuning frameworks like LEOPARD.</p>
<p> Reference:<br />Pain O. Leveraging global genetics resources to enhance polygenic prediction across ancestrally diverse populations. Human Genetics and Genomics Advances. 2025;6:100482. <a title="https://doi.org/10.1016/j.xhgg.2025.100482" href="https://doi.org/10.1016/j.xhgg.2025.100482" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xhgg.2025.100482</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - Placing genetic science to better health</li><li>(00:02:34) - PGS: The science of genetics</li><li>(00:06:31) - The comparative methods of ancestry science</li><li>(00:07:43) - Sumstat Tune: The genomic precision benchmark</li><li>(00:10:06) - LDpred2: Multi-Source Analysis</li><li>(00:11:30) - EUR vs AFR GWAS: The Size Paradox</li><li>(00:13:03) - The Best Multi-Source PGS</li><li>(00:17:09) - The Fight for Equitable Genomic Prediction</li><li>(00:21:14) - Personalized medicine in the cloud</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 180: Leveraging Global Genetics Resources for Equitable Polygenic Prediction
 In this episode of PaperCast Base by Base, we explore how multi-ancestry genome-wide association study resources and modern polygenic score methodologies can improve prediction accuracy across African, East Asian, and European populations, with a focus on practical, computationally efficient strategies that work even when individual-level data are unavailable.
 Study Highlights:This article systematically benchmarks leading single-source and multi-source polygenic score methods across 10 complex traits using GWAS summary statistics from Ugandan Genome Resource, Biobank Japan, UK Biobank, and the Million Veteran Program. The authors show that combining ancestry-aligned and European GWAS improves prediction in non-European targets and that independently optimized multi-source approaches often outperform jointly optimized methods while being far more computationally efficient. They introduce a generalizable use of the LEOPARD framework to estimate optimal linear combinations of population-specific scores using only summary statistics, achieving performance comparable to individual-level tuning in many settings. All methods are implemented in the GenoPred pipeline, providing an accessible, reference-standardized workflow for equitable polygenic prediction across diverse populations.
 Conclusion:Multi-source, summary-statistics–friendly approaches implemented in GenoPred offer a practical path to more accurate and equitable polygenic prediction, particularly when leveraging diverse GWAS resources and efficient tuning frameworks like LEOPARD.
 Reference:Pain O. Leveraging global genetics resources to enhance polygenic prediction across ancestrally diverse populations. Human Genetics and Genomics Advances. 2025;6:100482. https://doi.org/10.1016/j.xhgg.2025.100482
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[180: Leveraging Global Genetics Resources for Equitable Polygenic Prediction]]>
                </itunes:title>
                                    <itunes:episode>180</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 180: Leveraging Global Genetics Resources for Equitable Polygenic Prediction</p>
<p> In this episode of PaperCast Base by Base, we explore how multi-ancestry genome-wide association study resources and modern polygenic score methodologies can improve prediction accuracy across African, East Asian, and European populations, with a focus on practical, computationally efficient strategies that work even when individual-level data are unavailable.</p>
<p> Study Highlights:<br />This article systematically benchmarks leading single-source and multi-source polygenic score methods across 10 complex traits using GWAS summary statistics from Ugandan Genome Resource, Biobank Japan, UK Biobank, and the Million Veteran Program. The authors show that combining ancestry-aligned and European GWAS improves prediction in non-European targets and that independently optimized multi-source approaches often outperform jointly optimized methods while being far more computationally efficient. They introduce a generalizable use of the LEOPARD framework to estimate optimal linear combinations of population-specific scores using only summary statistics, achieving performance comparable to individual-level tuning in many settings. All methods are implemented in the GenoPred pipeline, providing an accessible, reference-standardized workflow for equitable polygenic prediction across diverse populations.</p>
<p> Conclusion:<br />Multi-source, summary-statistics–friendly approaches implemented in GenoPred offer a practical path to more accurate and equitable polygenic prediction, particularly when leveraging diverse GWAS resources and efficient tuning frameworks like LEOPARD.</p>
<p> Reference:<br />Pain O. Leveraging global genetics resources to enhance polygenic prediction across ancestrally diverse populations. Human Genetics and Genomics Advances. 2025;6:100482. <a title="https://doi.org/10.1016/j.xhgg.2025.100482" href="https://doi.org/10.1016/j.xhgg.2025.100482" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xhgg.2025.100482</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 180: Leveraging Global Genetics Resources for Equitable Polygenic Prediction
 In this episode of PaperCast Base by Base, we explore how multi-ancestry genome-wide association study resources and modern polygenic score methodologies can improve prediction accuracy across African, East Asian, and European populations, with a focus on practical, computationally efficient strategies that work even when individual-level data are unavailable.
 Study Highlights:This article systematically benchmarks leading single-source and multi-source polygenic score methods across 10 complex traits using GWAS summary statistics from Ugandan Genome Resource, Biobank Japan, UK Biobank, and the Million Veteran Program. The authors show that combining ancestry-aligned and European GWAS improves prediction in non-European targets and that independently optimized multi-source approaches often outperform jointly optimized methods while being far more computationally efficient. They introduce a generalizable use of the LEOPARD framework to estimate optimal linear combinations of population-specific scores using only summary statistics, achieving performance comparable to individual-level tuning in many settings. All methods are implemented in the GenoPred pipeline, providing an accessible, reference-standardized workflow for equitable polygenic prediction across diverse populations.
 Conclusion:Multi-source, summary-statistics–friendly approaches implemented in GenoPred offer a practical path to more accurate and equitable polygenic prediction, particularly when leveraging diverse GWAS resources and efficient tuning frameworks like LEOPARD.
 Reference:Pain O. Leveraging global genetics resources to enhance polygenic prediction across ancestrally diverse populations. Human Genetics and Genomics Advances. 2025;6:100482. https://doi.org/10.1016/j.xhgg.2025.100482
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:22:11</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[179: Mosaicism for Autosomal Trisomies: Maternal Age, UPD, and Reproductive History in 1,266 Cases]]>
                </title>
                <pubDate>Sun, 26 Oct 2025 08:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2171904</guid>
                                    <link>https://basebybase.castos.com/episodes/mosaicism-for-autosomal-trisomies-maternal-age</link>
                                <description>
                                            <![CDATA[<p>️ Episode 179: Mosaicism for Autosomal Trisomies: Maternal Age, UPD, and Reproductive History in 1,266 Cases<br /> In this episode of PaperCast Base by Base, we explore a comprehensive literature analysis of 1,266 reported cases of autosomal trisomy mosaicism, contrasting prenatal cohorts—true fetal mosaicism and confined placental mosaicism—with postnatal diagnoses to clarify how maternal age and reproductive history relate to outcomes and uniparental disomy.</p>
<p> Study Highlights:<br />The authors screened 596 publications and assembled 948 prenatal and 318 postnatal mosaicism cases to compare outcome patterns and demographics. They found that advanced maternal age was more common in pregnancies with normal outcomes than in those with abnormal outcomes (73% vs 56%), while pregnancies ending in fetal loss showed a 50% advanced maternal age rate. Mosaic carriers with concomitant uniparental disomy of chromosomes 7, 14, 15, or 16 had markedly higher advanced maternal age than those with biparental disomy overall (78% vs 48%), suggesting age-associated biases in trisomy rescue. Reporting of reproductive history was limited, but prior fetal loss was nearly twice as frequent among mothers in the postnatal cohort compared with the prenatal cohort (30% vs 16%), and prior chromosomal abnormalities in earlier pregnancies appeared substantially enriched relative to non-mosaic series.</p>
<p> Conclusion:<br />These findings challenge assumptions drawn from non-mosaic trisomies and indicate that maternal age and reproductive history shape both outcomes and the likelihood of uniparental disomy in autosomal trisomy mosaicism, motivating better standardized reporting and registry-based studies.</p>
<p> Reference:<br />Kovaleva, N. V.; Cotter, P. D. Mosaicism for Autosomal Trisomies: A Comprehensive Analysis of 1266 Published Cases Focusing on Maternal Age and Reproductive History. Genes 2024, 15, 778. <a title="https://doi.org/10.3390/genes15060778" href="https://doi.org/10.3390/genes15060778" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/genes15060778</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Causes of Trisomy 21 in maternal age</li><li>(00:01:59) - The Case of Mosaicism in America</li><li>(00:02:38) - Common Trisomy 4, Non-Moist mosaic cases</li><li>(00:03:09) - Autosomal mosaicism: The science, methodology, and impact</li><li>(00:07:57) - The mosaic trisomies in babies</li><li>(00:08:52) - Maternal age and mosaicism</li><li>(00:12:26) - Mosaic Trisomy Recurrence Risk</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 179: Mosaicism for Autosomal Trisomies: Maternal Age, UPD, and Reproductive History in 1,266 Cases In this episode of PaperCast Base by Base, we explore a comprehensive literature analysis of 1,266 reported cases of autosomal trisomy mosaicism, contrasting prenatal cohorts—true fetal mosaicism and confined placental mosaicism—with postnatal diagnoses to clarify how maternal age and reproductive history relate to outcomes and uniparental disomy.
 Study Highlights:The authors screened 596 publications and assembled 948 prenatal and 318 postnatal mosaicism cases to compare outcome patterns and demographics. They found that advanced maternal age was more common in pregnancies with normal outcomes than in those with abnormal outcomes (73% vs 56%), while pregnancies ending in fetal loss showed a 50% advanced maternal age rate. Mosaic carriers with concomitant uniparental disomy of chromosomes 7, 14, 15, or 16 had markedly higher advanced maternal age than those with biparental disomy overall (78% vs 48%), suggesting age-associated biases in trisomy rescue. Reporting of reproductive history was limited, but prior fetal loss was nearly twice as frequent among mothers in the postnatal cohort compared with the prenatal cohort (30% vs 16%), and prior chromosomal abnormalities in earlier pregnancies appeared substantially enriched relative to non-mosaic series.
 Conclusion:These findings challenge assumptions drawn from non-mosaic trisomies and indicate that maternal age and reproductive history shape both outcomes and the likelihood of uniparental disomy in autosomal trisomy mosaicism, motivating better standardized reporting and registry-based studies.
 Reference:Kovaleva, N. V.; Cotter, P. D. Mosaicism for Autosomal Trisomies: A Comprehensive Analysis of 1266 Published Cases Focusing on Maternal Age and Reproductive History. Genes 2024, 15, 778. https://doi.org/10.3390/genes15060778
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[179: Mosaicism for Autosomal Trisomies: Maternal Age, UPD, and Reproductive History in 1,266 Cases]]>
                </itunes:title>
                                    <itunes:episode>179</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 179: Mosaicism for Autosomal Trisomies: Maternal Age, UPD, and Reproductive History in 1,266 Cases<br /> In this episode of PaperCast Base by Base, we explore a comprehensive literature analysis of 1,266 reported cases of autosomal trisomy mosaicism, contrasting prenatal cohorts—true fetal mosaicism and confined placental mosaicism—with postnatal diagnoses to clarify how maternal age and reproductive history relate to outcomes and uniparental disomy.</p>
<p> Study Highlights:<br />The authors screened 596 publications and assembled 948 prenatal and 318 postnatal mosaicism cases to compare outcome patterns and demographics. They found that advanced maternal age was more common in pregnancies with normal outcomes than in those with abnormal outcomes (73% vs 56%), while pregnancies ending in fetal loss showed a 50% advanced maternal age rate. Mosaic carriers with concomitant uniparental disomy of chromosomes 7, 14, 15, or 16 had markedly higher advanced maternal age than those with biparental disomy overall (78% vs 48%), suggesting age-associated biases in trisomy rescue. Reporting of reproductive history was limited, but prior fetal loss was nearly twice as frequent among mothers in the postnatal cohort compared with the prenatal cohort (30% vs 16%), and prior chromosomal abnormalities in earlier pregnancies appeared substantially enriched relative to non-mosaic series.</p>
<p> Conclusion:<br />These findings challenge assumptions drawn from non-mosaic trisomies and indicate that maternal age and reproductive history shape both outcomes and the likelihood of uniparental disomy in autosomal trisomy mosaicism, motivating better standardized reporting and registry-based studies.</p>
<p> Reference:<br />Kovaleva, N. V.; Cotter, P. D. Mosaicism for Autosomal Trisomies: A Comprehensive Analysis of 1266 Published Cases Focusing on Maternal Age and Reproductive History. Genes 2024, 15, 778. <a title="https://doi.org/10.3390/genes15060778" href="https://doi.org/10.3390/genes15060778" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/genes15060778</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 179: Mosaicism for Autosomal Trisomies: Maternal Age, UPD, and Reproductive History in 1,266 Cases In this episode of PaperCast Base by Base, we explore a comprehensive literature analysis of 1,266 reported cases of autosomal trisomy mosaicism, contrasting prenatal cohorts—true fetal mosaicism and confined placental mosaicism—with postnatal diagnoses to clarify how maternal age and reproductive history relate to outcomes and uniparental disomy.
 Study Highlights:The authors screened 596 publications and assembled 948 prenatal and 318 postnatal mosaicism cases to compare outcome patterns and demographics. They found that advanced maternal age was more common in pregnancies with normal outcomes than in those with abnormal outcomes (73% vs 56%), while pregnancies ending in fetal loss showed a 50% advanced maternal age rate. Mosaic carriers with concomitant uniparental disomy of chromosomes 7, 14, 15, or 16 had markedly higher advanced maternal age than those with biparental disomy overall (78% vs 48%), suggesting age-associated biases in trisomy rescue. Reporting of reproductive history was limited, but prior fetal loss was nearly twice as frequent among mothers in the postnatal cohort compared with the prenatal cohort (30% vs 16%), and prior chromosomal abnormalities in earlier pregnancies appeared substantially enriched relative to non-mosaic series.
 Conclusion:These findings challenge assumptions drawn from non-mosaic trisomies and indicate that maternal age and reproductive history shape both outcomes and the likelihood of uniparental disomy in autosomal trisomy mosaicism, motivating better standardized reporting and registry-based studies.
 Reference:Kovaleva, N. V.; Cotter, P. D. Mosaicism for Autosomal Trisomies: A Comprehensive Analysis of 1266 Published Cases Focusing on Maternal Age and Reproductive History. Genes 2024, 15, 778. https://doi.org/10.3390/genes15060778
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2171904/c1a-p6xp7-pkvvj172h08p-6fjnhk.png"></itunes:image>
                                                                            <itunes:duration>00:16:49</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[178: TP53 Reduced Penetrance: Predictive Features and Clinical Implications]]>
                </title>
                <pubDate>Sat, 25 Oct 2025 20:05:13 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2171896</guid>
                                    <link>https://basebybase.castos.com/episodes/tp53-reduced-penetrance-predictive-features</link>
                                <description>
                                            <![CDATA[<p>️ Episode 178: TP53 Reduced Penetrance: Predictive Features and Clinical Implications</p>
<p> In this episode of PaperCast Base by Base, we explore how a large ClinVar-anchored analysis integrates functional assays, computational predictors, immunogenicity estimates, allele frequencies, and clinical presentation to identify TP53 variants with reduced penetrance relative to classic Li-Fraumeni syndrome.</p>
<p> Study Highlights:<br />The authors reviewed ClinVar to assemble a set of TP53 variants flagged by diagnostic labs as reduced penetrance and compared them with benign and standard pathogenic reference sets using four independent functional assays and multiple in silico tools. Reduced penetrance variants tended to show intermediate activity in functional assays—most prominently in the Kato yeast transactivation readout—and had deleterious predictions by BayesDel and AlphaMissense, but with lower scores than standard pathogenic variants. These variants occurred at higher population frequencies than standard pathogenic variants, and carriers presented with cancer at later ages and with attenuated enrichment for classic Li-Fraumeni core cancers, although early-onset breast cancer and pediatric sarcomas remained associated. A random forest model using functional scores, predictors, immune fitness, and allele frequency prioritized 106 additional TP53 variants of uncertain or conflicting significance as potential reduced penetrance candidates for future study.</p>
<p> Conclusion:<br />The work outlines measurable features that distinguish reduced penetrance TP53 variants from both benign and standard high-penetrance variants, supporting refined classification and personalized surveillance strategies for carriers.</p>
<p> Reference:<br />Fortuno, C., Richardson, M. E., Pesaran, T., McGoldrick, K., James, P. A., &amp; Spurdle, A. B. (2025). Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53. *Human Genetics and Genomics Advances*, 6, 100484. <a title="https://doi.org/10.1016/j.xhgg.2025.100484" href="https://doi.org/10.1016/j.xhgg.2025.100484" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xhgg.2025.100484</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - The challenge of classifying TP53 variants</li><li>(00:03:52) - The pathogenicity of TP53</li><li>(00:08:46) - The RP variants and their pathogenicity</li><li>(00:10:11) - RP variants and the cancer screening debate</li><li>(00:14:15) - Lessened penetrance TP53 variants</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 178: TP53 Reduced Penetrance: Predictive Features and Clinical Implications
 In this episode of PaperCast Base by Base, we explore how a large ClinVar-anchored analysis integrates functional assays, computational predictors, immunogenicity estimates, allele frequencies, and clinical presentation to identify TP53 variants with reduced penetrance relative to classic Li-Fraumeni syndrome.
 Study Highlights:The authors reviewed ClinVar to assemble a set of TP53 variants flagged by diagnostic labs as reduced penetrance and compared them with benign and standard pathogenic reference sets using four independent functional assays and multiple in silico tools. Reduced penetrance variants tended to show intermediate activity in functional assays—most prominently in the Kato yeast transactivation readout—and had deleterious predictions by BayesDel and AlphaMissense, but with lower scores than standard pathogenic variants. These variants occurred at higher population frequencies than standard pathogenic variants, and carriers presented with cancer at later ages and with attenuated enrichment for classic Li-Fraumeni core cancers, although early-onset breast cancer and pediatric sarcomas remained associated. A random forest model using functional scores, predictors, immune fitness, and allele frequency prioritized 106 additional TP53 variants of uncertain or conflicting significance as potential reduced penetrance candidates for future study.
 Conclusion:The work outlines measurable features that distinguish reduced penetrance TP53 variants from both benign and standard high-penetrance variants, supporting refined classification and personalized surveillance strategies for carriers.
 Reference:Fortuno, C., Richardson, M. E., Pesaran, T., McGoldrick, K., James, P. A., & Spurdle, A. B. (2025). Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53. *Human Genetics and Genomics Advances*, 6, 100484. https://doi.org/10.1016/j.xhgg.2025.100484
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[178: TP53 Reduced Penetrance: Predictive Features and Clinical Implications]]>
                </itunes:title>
                                    <itunes:episode>178</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 178: TP53 Reduced Penetrance: Predictive Features and Clinical Implications</p>
<p> In this episode of PaperCast Base by Base, we explore how a large ClinVar-anchored analysis integrates functional assays, computational predictors, immunogenicity estimates, allele frequencies, and clinical presentation to identify TP53 variants with reduced penetrance relative to classic Li-Fraumeni syndrome.</p>
<p> Study Highlights:<br />The authors reviewed ClinVar to assemble a set of TP53 variants flagged by diagnostic labs as reduced penetrance and compared them with benign and standard pathogenic reference sets using four independent functional assays and multiple in silico tools. Reduced penetrance variants tended to show intermediate activity in functional assays—most prominently in the Kato yeast transactivation readout—and had deleterious predictions by BayesDel and AlphaMissense, but with lower scores than standard pathogenic variants. These variants occurred at higher population frequencies than standard pathogenic variants, and carriers presented with cancer at later ages and with attenuated enrichment for classic Li-Fraumeni core cancers, although early-onset breast cancer and pediatric sarcomas remained associated. A random forest model using functional scores, predictors, immune fitness, and allele frequency prioritized 106 additional TP53 variants of uncertain or conflicting significance as potential reduced penetrance candidates for future study.</p>
<p> Conclusion:<br />The work outlines measurable features that distinguish reduced penetrance TP53 variants from both benign and standard high-penetrance variants, supporting refined classification and personalized surveillance strategies for carriers.</p>
<p> Reference:<br />Fortuno, C., Richardson, M. E., Pesaran, T., McGoldrick, K., James, P. A., &amp; Spurdle, A. B. (2025). Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53. *Human Genetics and Genomics Advances*, 6, 100484. <a title="https://doi.org/10.1016/j.xhgg.2025.100484" href="https://doi.org/10.1016/j.xhgg.2025.100484" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xhgg.2025.100484</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 178: TP53 Reduced Penetrance: Predictive Features and Clinical Implications
 In this episode of PaperCast Base by Base, we explore how a large ClinVar-anchored analysis integrates functional assays, computational predictors, immunogenicity estimates, allele frequencies, and clinical presentation to identify TP53 variants with reduced penetrance relative to classic Li-Fraumeni syndrome.
 Study Highlights:The authors reviewed ClinVar to assemble a set of TP53 variants flagged by diagnostic labs as reduced penetrance and compared them with benign and standard pathogenic reference sets using four independent functional assays and multiple in silico tools. Reduced penetrance variants tended to show intermediate activity in functional assays—most prominently in the Kato yeast transactivation readout—and had deleterious predictions by BayesDel and AlphaMissense, but with lower scores than standard pathogenic variants. These variants occurred at higher population frequencies than standard pathogenic variants, and carriers presented with cancer at later ages and with attenuated enrichment for classic Li-Fraumeni core cancers, although early-onset breast cancer and pediatric sarcomas remained associated. A random forest model using functional scores, predictors, immune fitness, and allele frequency prioritized 106 additional TP53 variants of uncertain or conflicting significance as potential reduced penetrance candidates for future study.
 Conclusion:The work outlines measurable features that distinguish reduced penetrance TP53 variants from both benign and standard high-penetrance variants, supporting refined classification and personalized surveillance strategies for carriers.
 Reference:Fortuno, C., Richardson, M. E., Pesaran, T., McGoldrick, K., James, P. A., & Spurdle, A. B. (2025). Characteristics predicting reduced penetrance variants in the high-risk cancer predisposition gene TP53. *Human Genetics and Genomics Advances*, 6, 100484. https://doi.org/10.1016/j.xhgg.2025.100484
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2171896/c1a-p6xp7-47mm1n65h8gg-xhmpvz.png"></itunes:image>
                                                                            <itunes:duration>00:15:59</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2171896/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[177: Biallelic MCM8/MCM9 Variants: From Hypogonadism to Cancer Predisposition]]>
                </title>
                <pubDate>Fri, 24 Oct 2025 20:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2171892</guid>
                                    <link>https://basebybase.castos.com/episodes/mcm8-mcm9-biallelic-cancer-predisposition</link>
                                <description>
                                            <![CDATA[<p>️ Episode 177: Biallelic MCM8/MCM9 Variants: From Hypogonadism to Cancer Predisposition</p>
<p> In this episode of PaperCast Base by Base, we explore a multi‑cohort clinical–genomic study that delineates the phenotype of individuals with biallelic germline variants in MCM8 or MCM9, clarifying links to polyposis and early‑onset cancers in addition to the long‑recognized association with hypogonadism.</p>
<p> Study Highlights:<br />Using population datasets (100,000 Genomes Project, UK Biobank, and gnomAD), a curated case series, and tumor sequencing, the authors assessed cancer and reproductive phenotypes among carriers of predicted deleterious variants. They found significant enrichment of biallelic MCM9 variants among participants with colonic and rectal polyps and with gastric cancer in the 100,000 Genomes Project, whereas no similar enrichment was seen for MCM8 or in UK Biobank. Across the aggregated case series (26 biallelic MCM8 and 28 biallelic MCM9 carriers), MCM9—but not MCM8—was associated with polyposis and early‑onset colorectal cancer, while both genes were linked to hypogonadism and to female germ cell tumors presenting in early adolescence. Tumor mutational‑signature analysis predominantly showed clock‑like processes without a consistent pattern of mismatch‑repair or homologous‑recombination deficiency, suggesting that many tumors in carriers are not defined by a distinctive repair‑defect signature. The authors recommend inclusion of MCM8/MCM9 on diagnostic panels for relevant clinical contexts and propose surveillance considerations for biallelic carriers.</p>
<p> Conclusion:<br />Biallelic MCM9 variants confer risk for polyposis, gastric cancer, and early‑onset colorectal cancer, and biallelic variants in either MCM8 or MCM9 are consistently linked to hypogonadism and early germ cell tumors, supporting panel inclusion and individualized surveillance strategies.</p>
<p> Reference:<br />Helderman, N. C., Yang, T., Palles, C., Terlouw, D., Mei, H., Vorderman, R. H. P., Cats, D., Díaz‑Gay, M., Jongmans, M. C. J., Ramdien, A., van de Beek, I., Eleveld, T. F., Green, A., Hes, F. J., van den Heuvel‑Eibrink, M. M., Van Der Kelen, A., Kliesch, S., Kuiper, R. P., Lakeman, I. M. M., Lashley, L. E. E. L. O., Looijenga, L. H. J., Oud, M. S., Steingröver, J., Tenenbaum‑Rakover, Y., Tops, C. M., Tüttelmann, F., de Voer, R. M., Westra, D., Wyrwoll, M. J., Golubicki, M., Antelo, M., Bonjoch, L., Terradas, M., Valle, L., Alexandrov, L. B., Morreau, H., van Wezel, T., Castellví‑Bel, S., Goldberg, Y., &amp; Nielsen, M. (2025). Clinical syndromes linked to biallelic germline variants in MCM8 and MCM9. *Human Genetics and Genomics Advances*, 6, 100480. <a title="https://doi.org/10.1016/j.xhgg.2025.100480" href="https://doi.org/10.1016/j.xhgg.2025.100480" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xhgg.2025.100480</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Genetics of infertility and cancer</li><li>(00:06:32) - The genetic basis of cancer</li><li>(00:07:37) - MCM9 and cancer risk</li><li>(00:09:34) - MCM8 and MCM9 genetic cancer risk</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 177: Biallelic MCM8/MCM9 Variants: From Hypogonadism to Cancer Predisposition
 In this episode of PaperCast Base by Base, we explore a multi‑cohort clinical–genomic study that delineates the phenotype of individuals with biallelic germline variants in MCM8 or MCM9, clarifying links to polyposis and early‑onset cancers in addition to the long‑recognized association with hypogonadism.
 Study Highlights:Using population datasets (100,000 Genomes Project, UK Biobank, and gnomAD), a curated case series, and tumor sequencing, the authors assessed cancer and reproductive phenotypes among carriers of predicted deleterious variants. They found significant enrichment of biallelic MCM9 variants among participants with colonic and rectal polyps and with gastric cancer in the 100,000 Genomes Project, whereas no similar enrichment was seen for MCM8 or in UK Biobank. Across the aggregated case series (26 biallelic MCM8 and 28 biallelic MCM9 carriers), MCM9—but not MCM8—was associated with polyposis and early‑onset colorectal cancer, while both genes were linked to hypogonadism and to female germ cell tumors presenting in early adolescence. Tumor mutational‑signature analysis predominantly showed clock‑like processes without a consistent pattern of mismatch‑repair or homologous‑recombination deficiency, suggesting that many tumors in carriers are not defined by a distinctive repair‑defect signature. The authors recommend inclusion of MCM8/MCM9 on diagnostic panels for relevant clinical contexts and propose surveillance considerations for biallelic carriers.
 Conclusion:Biallelic MCM9 variants confer risk for polyposis, gastric cancer, and early‑onset colorectal cancer, and biallelic variants in either MCM8 or MCM9 are consistently linked to hypogonadism and early germ cell tumors, supporting panel inclusion and individualized surveillance strategies.
 Reference:Helderman, N. C., Yang, T., Palles, C., Terlouw, D., Mei, H., Vorderman, R. H. P., Cats, D., Díaz‑Gay, M., Jongmans, M. C. J., Ramdien, A., van de Beek, I., Eleveld, T. F., Green, A., Hes, F. J., van den Heuvel‑Eibrink, M. M., Van Der Kelen, A., Kliesch, S., Kuiper, R. P., Lakeman, I. M. M., Lashley, L. E. E. L. O., Looijenga, L. H. J., Oud, M. S., Steingröver, J., Tenenbaum‑Rakover, Y., Tops, C. M., Tüttelmann, F., de Voer, R. M., Westra, D., Wyrwoll, M. J., Golubicki, M., Antelo, M., Bonjoch, L., Terradas, M., Valle, L., Alexandrov, L. B., Morreau, H., van Wezel, T., Castellví‑Bel, S., Goldberg, Y., & Nielsen, M. (2025). Clinical syndromes linked to biallelic germline variants in MCM8 and MCM9. *Human Genetics and Genomics Advances*, 6, 100480. https://doi.org/10.1016/j.xhgg.2025.100480
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[177: Biallelic MCM8/MCM9 Variants: From Hypogonadism to Cancer Predisposition]]>
                </itunes:title>
                                    <itunes:episode>177</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 177: Biallelic MCM8/MCM9 Variants: From Hypogonadism to Cancer Predisposition</p>
<p> In this episode of PaperCast Base by Base, we explore a multi‑cohort clinical–genomic study that delineates the phenotype of individuals with biallelic germline variants in MCM8 or MCM9, clarifying links to polyposis and early‑onset cancers in addition to the long‑recognized association with hypogonadism.</p>
<p> Study Highlights:<br />Using population datasets (100,000 Genomes Project, UK Biobank, and gnomAD), a curated case series, and tumor sequencing, the authors assessed cancer and reproductive phenotypes among carriers of predicted deleterious variants. They found significant enrichment of biallelic MCM9 variants among participants with colonic and rectal polyps and with gastric cancer in the 100,000 Genomes Project, whereas no similar enrichment was seen for MCM8 or in UK Biobank. Across the aggregated case series (26 biallelic MCM8 and 28 biallelic MCM9 carriers), MCM9—but not MCM8—was associated with polyposis and early‑onset colorectal cancer, while both genes were linked to hypogonadism and to female germ cell tumors presenting in early adolescence. Tumor mutational‑signature analysis predominantly showed clock‑like processes without a consistent pattern of mismatch‑repair or homologous‑recombination deficiency, suggesting that many tumors in carriers are not defined by a distinctive repair‑defect signature. The authors recommend inclusion of MCM8/MCM9 on diagnostic panels for relevant clinical contexts and propose surveillance considerations for biallelic carriers.</p>
<p> Conclusion:<br />Biallelic MCM9 variants confer risk for polyposis, gastric cancer, and early‑onset colorectal cancer, and biallelic variants in either MCM8 or MCM9 are consistently linked to hypogonadism and early germ cell tumors, supporting panel inclusion and individualized surveillance strategies.</p>
<p> Reference:<br />Helderman, N. C., Yang, T., Palles, C., Terlouw, D., Mei, H., Vorderman, R. H. P., Cats, D., Díaz‑Gay, M., Jongmans, M. C. J., Ramdien, A., van de Beek, I., Eleveld, T. F., Green, A., Hes, F. J., van den Heuvel‑Eibrink, M. M., Van Der Kelen, A., Kliesch, S., Kuiper, R. P., Lakeman, I. M. M., Lashley, L. E. E. L. O., Looijenga, L. H. J., Oud, M. S., Steingröver, J., Tenenbaum‑Rakover, Y., Tops, C. M., Tüttelmann, F., de Voer, R. M., Westra, D., Wyrwoll, M. J., Golubicki, M., Antelo, M., Bonjoch, L., Terradas, M., Valle, L., Alexandrov, L. B., Morreau, H., van Wezel, T., Castellví‑Bel, S., Goldberg, Y., &amp; Nielsen, M. (2025). Clinical syndromes linked to biallelic germline variants in MCM8 and MCM9. *Human Genetics and Genomics Advances*, 6, 100480. <a title="https://doi.org/10.1016/j.xhgg.2025.100480" href="https://doi.org/10.1016/j.xhgg.2025.100480" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xhgg.2025.100480</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[️ Episode 177: Biallelic MCM8/MCM9 Variants: From Hypogonadism to Cancer Predisposition
 In this episode of PaperCast Base by Base, we explore a multi‑cohort clinical–genomic study that delineates the phenotype of individuals with biallelic germline variants in MCM8 or MCM9, clarifying links to polyposis and early‑onset cancers in addition to the long‑recognized association with hypogonadism.
 Study Highlights:Using population datasets (100,000 Genomes Project, UK Biobank, and gnomAD), a curated case series, and tumor sequencing, the authors assessed cancer and reproductive phenotypes among carriers of predicted deleterious variants. They found significant enrichment of biallelic MCM9 variants among participants with colonic and rectal polyps and with gastric cancer in the 100,000 Genomes Project, whereas no similar enrichment was seen for MCM8 or in UK Biobank. Across the aggregated case series (26 biallelic MCM8 and 28 biallelic MCM9 carriers), MCM9—but not MCM8—was associated with polyposis and early‑onset colorectal cancer, while both genes were linked to hypogonadism and to female germ cell tumors presenting in early adolescence. Tumor mutational‑signature analysis predominantly showed clock‑like processes without a consistent pattern of mismatch‑repair or homologous‑recombination deficiency, suggesting that many tumors in carriers are not defined by a distinctive repair‑defect signature. The authors recommend inclusion of MCM8/MCM9 on diagnostic panels for relevant clinical contexts and propose surveillance considerations for biallelic carriers.
 Conclusion:Biallelic MCM9 variants confer risk for polyposis, gastric cancer, and early‑onset colorectal cancer, and biallelic variants in either MCM8 or MCM9 are consistently linked to hypogonadism and early germ cell tumors, supporting panel inclusion and individualized surveillance strategies.
 Reference:Helderman, N. C., Yang, T., Palles, C., Terlouw, D., Mei, H., Vorderman, R. H. P., Cats, D., Díaz‑Gay, M., Jongmans, M. C. J., Ramdien, A., van de Beek, I., Eleveld, T. F., Green, A., Hes, F. J., van den Heuvel‑Eibrink, M. M., Van Der Kelen, A., Kliesch, S., Kuiper, R. P., Lakeman, I. M. M., Lashley, L. E. E. L. O., Looijenga, L. H. J., Oud, M. S., Steingröver, J., Tenenbaum‑Rakover, Y., Tops, C. M., Tüttelmann, F., de Voer, R. M., Westra, D., Wyrwoll, M. J., Golubicki, M., Antelo, M., Bonjoch, L., Terradas, M., Valle, L., Alexandrov, L. B., Morreau, H., van Wezel, T., Castellví‑Bel, S., Goldberg, Y., & Nielsen, M. (2025). Clinical syndromes linked to biallelic germline variants in MCM8 and MCM9. *Human Genetics and Genomics Advances*, 6, 100480. https://doi.org/10.1016/j.xhgg.2025.100480
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2171892/c1a-p6xp7-34mmg0x3c04w-hkgi93.png"></itunes:image>
                                                                            <itunes:duration>00:17:04</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2171892/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[176: FAHD1 and the Pyruvate-Driven Evolution of Hepatocellular Carcinoma]]>
                </title>
                <pubDate>Thu, 23 Oct 2025 19:48:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2171888</guid>
                                    <link>https://basebybase.castos.com/episodes/fahd1-pyruvate-hcc-evolution</link>
                                <description>
                                            <![CDATA[<p>️ Episode 176: FAHD1 and the Pyruvate-Driven Evolution of Hepatocellular Carcinoma</p>
<p> In this episode of PaperCast Base by Base, we explore how multi-omics integration—spanning single-cell transcriptomics, spatial mapping, and causal genetic inference—uncovers a pyruvate-hyperactive epithelial subpopulation in hepatocellular carcinoma and identifies FAHD1 as a central regulator linked to poor prognosis and immune evasion.</p>
<p> Study Highlights:<br />The authors harmonized six single-cell metabolic scoring methods across tens of thousands of tumor microenvironment cells and uncovered PyHighEpi cells with elevated pyruvate metabolism, stemness, and proliferation that concentrate in tumor cores. Spatial transcriptomics traced evolutionary trajectories from stromal transition zones into malignant foci and showed that pyruvate activity scales with spatial progression. Summary data-based Mendelian randomization pinpointed FAHD1 as a causal driver of HCC susceptibility, and FAHD1+ epithelial cells engaged cancer‑associated fibroblasts via ITGB2 to sculpt a TGF‑β/VEGF‑enriched niche consistent with immune escape. Functional knockdown experiments reduced proliferation, migration, and invasion, while an eight‑gene FAHD1‑derived risk score stratified survival and predicted responsiveness to PD‑1 blockade; in silico docking also suggested tivozanib as a potential FAHD1‑targeting compound.</p>
<p> Conclusion:<br />By linking mitochondrial pyruvate control to stromal crosstalk and immune suppression, the study positions FAHD1 as a therapeutic entry point and proposes risk-guided, metabolism‑plus‑immunity strategies for difficult‑to‑treat HCC.</p>
<p> Reference:<br />Huang, J., Liang, S., Sun, J., &amp; Chen, H. (2025). FAHD1‑mediated pyruvate metabolism in hepatocellular carcinoma: Multi‑omics and causal genetic evidence. *Human Genetics and Genomics Advances*, 6, 100494. https://doi.org/10.1016/j.xhgg.2025.100494</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Liver Cancer: The metabolic linchpin</li><li>(00:02:32) - The Pyruvate cancer causal link</li><li>(00:06:17) - The molecular switch in liver cancer</li><li>(00:11:43) - FHD1 and the cancer prognosis</li><li>(00:17:32) - Fahd1 and HCC</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 176: FAHD1 and the Pyruvate-Driven Evolution of Hepatocellular Carcinoma
 In this episode of PaperCast Base by Base, we explore how multi-omics integration—spanning single-cell transcriptomics, spatial mapping, and causal genetic inference—uncovers a pyruvate-hyperactive epithelial subpopulation in hepatocellular carcinoma and identifies FAHD1 as a central regulator linked to poor prognosis and immune evasion.
 Study Highlights:The authors harmonized six single-cell metabolic scoring methods across tens of thousands of tumor microenvironment cells and uncovered PyHighEpi cells with elevated pyruvate metabolism, stemness, and proliferation that concentrate in tumor cores. Spatial transcriptomics traced evolutionary trajectories from stromal transition zones into malignant foci and showed that pyruvate activity scales with spatial progression. Summary data-based Mendelian randomization pinpointed FAHD1 as a causal driver of HCC susceptibility, and FAHD1+ epithelial cells engaged cancer‑associated fibroblasts via ITGB2 to sculpt a TGF‑β/VEGF‑enriched niche consistent with immune escape. Functional knockdown experiments reduced proliferation, migration, and invasion, while an eight‑gene FAHD1‑derived risk score stratified survival and predicted responsiveness to PD‑1 blockade; in silico docking also suggested tivozanib as a potential FAHD1‑targeting compound.
 Conclusion:By linking mitochondrial pyruvate control to stromal crosstalk and immune suppression, the study positions FAHD1 as a therapeutic entry point and proposes risk-guided, metabolism‑plus‑immunity strategies for difficult‑to‑treat HCC.
 Reference:Huang, J., Liang, S., Sun, J., & Chen, H. (2025). FAHD1‑mediated pyruvate metabolism in hepatocellular carcinoma: Multi‑omics and causal genetic evidence. *Human Genetics and Genomics Advances*, 6, 100494. https://doi.org/10.1016/j.xhgg.2025.100494
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[176: FAHD1 and the Pyruvate-Driven Evolution of Hepatocellular Carcinoma]]>
                </itunes:title>
                                    <itunes:episode>176</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                <content:encoded>
                    <![CDATA[<p>️ Episode 176: FAHD1 and the Pyruvate-Driven Evolution of Hepatocellular Carcinoma</p>
<p> In this episode of PaperCast Base by Base, we explore how multi-omics integration—spanning single-cell transcriptomics, spatial mapping, and causal genetic inference—uncovers a pyruvate-hyperactive epithelial subpopulation in hepatocellular carcinoma and identifies FAHD1 as a central regulator linked to poor prognosis and immune evasion.</p>
<p> Study Highlights:<br />The authors harmonized six single-cell metabolic scoring methods across tens of thousands of tumor microenvironment cells and uncovered PyHighEpi cells with elevated pyruvate metabolism, stemness, and proliferation that concentrate in tumor cores. Spatial transcriptomics traced evolutionary trajectories from stromal transition zones into malignant foci and showed that pyruvate activity scales with spatial progression. Summary data-based Mendelian randomization pinpointed FAHD1 as a causal driver of HCC susceptibility, and FAHD1+ epithelial cells engaged cancer‑associated fibroblasts via ITGB2 to sculpt a TGF‑β/VEGF‑enriched niche consistent with immune escape. Functional knockdown experiments reduced proliferation, migration, and invasion, while an eight‑gene FAHD1‑derived risk score stratified survival and predicted responsiveness to PD‑1 blockade; in silico docking also suggested tivozanib as a potential FAHD1‑targeting compound.</p>
<p> Conclusion:<br />By linking mitochondrial pyruvate control to stromal crosstalk and immune suppression, the study positions FAHD1 as a therapeutic entry point and proposes risk-guided, metabolism‑plus‑immunity strategies for difficult‑to‑treat HCC.</p>
<p> Reference:<br />Huang, J., Liang, S., Sun, J., &amp; Chen, H. (2025). FAHD1‑mediated pyruvate metabolism in hepatocellular carcinoma: Multi‑omics and causal genetic evidence. *Human Genetics and Genomics Advances*, 6, 100494. https://doi.org/10.1016/j.xhgg.2025.100494</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
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                    <![CDATA[️ Episode 176: FAHD1 and the Pyruvate-Driven Evolution of Hepatocellular Carcinoma
 In this episode of PaperCast Base by Base, we explore how multi-omics integration—spanning single-cell transcriptomics, spatial mapping, and causal genetic inference—uncovers a pyruvate-hyperactive epithelial subpopulation in hepatocellular carcinoma and identifies FAHD1 as a central regulator linked to poor prognosis and immune evasion.
 Study Highlights:The authors harmonized six single-cell metabolic scoring methods across tens of thousands of tumor microenvironment cells and uncovered PyHighEpi cells with elevated pyruvate metabolism, stemness, and proliferation that concentrate in tumor cores. Spatial transcriptomics traced evolutionary trajectories from stromal transition zones into malignant foci and showed that pyruvate activity scales with spatial progression. Summary data-based Mendelian randomization pinpointed FAHD1 as a causal driver of HCC susceptibility, and FAHD1+ epithelial cells engaged cancer‑associated fibroblasts via ITGB2 to sculpt a TGF‑β/VEGF‑enriched niche consistent with immune escape. Functional knockdown experiments reduced proliferation, migration, and invasion, while an eight‑gene FAHD1‑derived risk score stratified survival and predicted responsiveness to PD‑1 blockade; in silico docking also suggested tivozanib as a potential FAHD1‑targeting compound.
 Conclusion:By linking mitochondrial pyruvate control to stromal crosstalk and immune suppression, the study positions FAHD1 as a therapeutic entry point and proposes risk-guided, metabolism‑plus‑immunity strategies for difficult‑to‑treat HCC.
 Reference:Huang, J., Liang, S., Sun, J., & Chen, H. (2025). FAHD1‑mediated pyruvate metabolism in hepatocellular carcinoma: Multi‑omics and causal genetic evidence. *Human Genetics and Genomics Advances*, 6, 100494. https://doi.org/10.1016/j.xhgg.2025.100494
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2171888/c1a-p6xp7-mkww15k4i2qx-ooobkl.png"></itunes:image>
                                                                            <itunes:duration>00:19:32</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[175: Predictive Prioritization of Pancreatic Enhancers Linked to Disease Risk]]>
                </title>
                <pubDate>Wed, 22 Oct 2025 14:51:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2171114</guid>
                                    <link>https://basebybase.castos.com/episodes/predictive-prioritization-pancreatic-enhancers-epic</link>
                                <description>
                                            <![CDATA[<p>️ Episode 175: Predictive Prioritization of Pancreatic Enhancers Linked to Disease Risk</p>
<p>In this episode of PaperCast Base by Base, we explore how enhancer–promoter 3D chromatin maps from five primary human pancreatic cell types were transformed into graph “tree” models to quantify enhancer connectivity and prioritize elements most critical for cell-type-specific gene expression, creating a framework to connect noncoding variants to function in pancreatic disease.</p>
<p>Study Highlights:<br />The authors profiled H3K27ac HiChIP and ATAC‑seq across 28 donors, building enhancer–promoter tree models that capture direct and indirect loops and reveal modular “forests” centered on promoter–promoter hubs.<br />They developed EPIC, a k‑nearest‑neighbors model using chromatin features and tree topology to rank enhancers by their predicted effect on cell‑type‑specific transcription and validated top predictions in primary human cells using CRISPRa/i with single‑cell RNA FISH readouts.<br />Direct E1 enhancer loops predominated and multiple enhancers additively boosted expression of lineage‑defining genes, while EPIC‑prioritized enhancers overlapped germline risk variants for type 2 diabetes and pancreatic ductal adenocarcinoma.<br />GWAS integration pointed to unexpected enrichment of PDAC‑associated variants in acinar enhancers and experimental perturbation at the XBP1 locus reduced transcripts in line with predicted effect sizes.</p>
<p>Conclusion:<br />Enhancer tree models coupled with the EPIC prioritization algorithm provide a scalable route to nominate and validate functional noncoding elements and their target genes in the human pancreas, sharpening variant‑to‑function studies and disease mechanism discovery.</p>
<p>Reference:<br />Wang L, Baek S, Prasad G, Wildenthal J, Guo K, Sturgill D, Truongvo T, Char E, Pegoraro G, McKinnon K, The Pancreatic Cancer Cohort Consortium, The Pancreatic Cancer Case‑Control Consortium, Hoskins JW, Amundadottir LT, Arda HE. Predictive prioritization of enhancers associated with pancreatic disease risk. Cell Genomics. 2026;6:101040. https://doi.org/10.1016/j.xgen.2025.101040</p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - Pancreatic cancer risk map</li><li>(00:05:25) - How they mapped the enhancer network in the pancreas</li><li>(00:10:16) - Epic the enhancer network: diabetes, cancer</li><li>(00:13:32) - Pancreatic cancer: The genetic predisposition</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 175: Predictive Prioritization of Pancreatic Enhancers Linked to Disease Risk
In this episode of PaperCast Base by Base, we explore how enhancer–promoter 3D chromatin maps from five primary human pancreatic cell types were transformed into graph “tree” models to quantify enhancer connectivity and prioritize elements most critical for cell-type-specific gene expression, creating a framework to connect noncoding variants to function in pancreatic disease.
Study Highlights:The authors profiled H3K27ac HiChIP and ATAC‑seq across 28 donors, building enhancer–promoter tree models that capture direct and indirect loops and reveal modular “forests” centered on promoter–promoter hubs.They developed EPIC, a k‑nearest‑neighbors model using chromatin features and tree topology to rank enhancers by their predicted effect on cell‑type‑specific transcription and validated top predictions in primary human cells using CRISPRa/i with single‑cell RNA FISH readouts.Direct E1 enhancer loops predominated and multiple enhancers additively boosted expression of lineage‑defining genes, while EPIC‑prioritized enhancers overlapped germline risk variants for type 2 diabetes and pancreatic ductal adenocarcinoma.GWAS integration pointed to unexpected enrichment of PDAC‑associated variants in acinar enhancers and experimental perturbation at the XBP1 locus reduced transcripts in line with predicted effect sizes.
Conclusion:Enhancer tree models coupled with the EPIC prioritization algorithm provide a scalable route to nominate and validate functional noncoding elements and their target genes in the human pancreas, sharpening variant‑to‑function studies and disease mechanism discovery.
Reference:Wang L, Baek S, Prasad G, Wildenthal J, Guo K, Sturgill D, Truongvo T, Char E, Pegoraro G, McKinnon K, The Pancreatic Cancer Cohort Consortium, The Pancreatic Cancer Case‑Control Consortium, Hoskins JW, Amundadottir LT, Arda HE. Predictive prioritization of enhancers associated with pancreatic disease risk. Cell Genomics. 2026;6:101040. https://doi.org/10.1016/j.xgen.2025.101040
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[175: Predictive Prioritization of Pancreatic Enhancers Linked to Disease Risk]]>
                </itunes:title>
                                    <itunes:episode>175</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 175: Predictive Prioritization of Pancreatic Enhancers Linked to Disease Risk</p>
<p>In this episode of PaperCast Base by Base, we explore how enhancer–promoter 3D chromatin maps from five primary human pancreatic cell types were transformed into graph “tree” models to quantify enhancer connectivity and prioritize elements most critical for cell-type-specific gene expression, creating a framework to connect noncoding variants to function in pancreatic disease.</p>
<p>Study Highlights:<br />The authors profiled H3K27ac HiChIP and ATAC‑seq across 28 donors, building enhancer–promoter tree models that capture direct and indirect loops and reveal modular “forests” centered on promoter–promoter hubs.<br />They developed EPIC, a k‑nearest‑neighbors model using chromatin features and tree topology to rank enhancers by their predicted effect on cell‑type‑specific transcription and validated top predictions in primary human cells using CRISPRa/i with single‑cell RNA FISH readouts.<br />Direct E1 enhancer loops predominated and multiple enhancers additively boosted expression of lineage‑defining genes, while EPIC‑prioritized enhancers overlapped germline risk variants for type 2 diabetes and pancreatic ductal adenocarcinoma.<br />GWAS integration pointed to unexpected enrichment of PDAC‑associated variants in acinar enhancers and experimental perturbation at the XBP1 locus reduced transcripts in line with predicted effect sizes.</p>
<p>Conclusion:<br />Enhancer tree models coupled with the EPIC prioritization algorithm provide a scalable route to nominate and validate functional noncoding elements and their target genes in the human pancreas, sharpening variant‑to‑function studies and disease mechanism discovery.</p>
<p>Reference:<br />Wang L, Baek S, Prasad G, Wildenthal J, Guo K, Sturgill D, Truongvo T, Char E, Pegoraro G, McKinnon K, The Pancreatic Cancer Cohort Consortium, The Pancreatic Cancer Case‑Control Consortium, Hoskins JW, Amundadottir LT, Arda HE. Predictive prioritization of enhancers associated with pancreatic disease risk. Cell Genomics. 2026;6:101040. https://doi.org/10.1016/j.xgen.2025.101040</p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 175: Predictive Prioritization of Pancreatic Enhancers Linked to Disease Risk
In this episode of PaperCast Base by Base, we explore how enhancer–promoter 3D chromatin maps from five primary human pancreatic cell types were transformed into graph “tree” models to quantify enhancer connectivity and prioritize elements most critical for cell-type-specific gene expression, creating a framework to connect noncoding variants to function in pancreatic disease.
Study Highlights:The authors profiled H3K27ac HiChIP and ATAC‑seq across 28 donors, building enhancer–promoter tree models that capture direct and indirect loops and reveal modular “forests” centered on promoter–promoter hubs.They developed EPIC, a k‑nearest‑neighbors model using chromatin features and tree topology to rank enhancers by their predicted effect on cell‑type‑specific transcription and validated top predictions in primary human cells using CRISPRa/i with single‑cell RNA FISH readouts.Direct E1 enhancer loops predominated and multiple enhancers additively boosted expression of lineage‑defining genes, while EPIC‑prioritized enhancers overlapped germline risk variants for type 2 diabetes and pancreatic ductal adenocarcinoma.GWAS integration pointed to unexpected enrichment of PDAC‑associated variants in acinar enhancers and experimental perturbation at the XBP1 locus reduced transcripts in line with predicted effect sizes.
Conclusion:Enhancer tree models coupled with the EPIC prioritization algorithm provide a scalable route to nominate and validate functional noncoding elements and their target genes in the human pancreas, sharpening variant‑to‑function studies and disease mechanism discovery.
Reference:Wang L, Baek S, Prasad G, Wildenthal J, Guo K, Sturgill D, Truongvo T, Char E, Pegoraro G, McKinnon K, The Pancreatic Cancer Cohort Consortium, The Pancreatic Cancer Case‑Control Consortium, Hoskins JW, Amundadottir LT, Arda HE. Predictive prioritization of enhancers associated with pancreatic disease risk. Cell Genomics. 2026;6:101040. https://doi.org/10.1016/j.xgen.2025.101040
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2171114/c1a-p6xp7-8doqxr8dipg8-z2fyvc.png"></itunes:image>
                                                                            <itunes:duration>00:19:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2171114/chapter-data.json"
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                            </item>
                    <item>
                <title>
                    <![CDATA[174: TMEM217–SLC9C1: Wiring the cAMP Switch for Sperm Motility and Male Fertility]]>
                </title>
                <pubDate>Tue, 21 Oct 2025 18:13:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2169192</guid>
                                    <link>https://basebybase.castos.com/episodes/tmem217-slc9c1-complex-sperm-motility-fertility</link>
                                <description>
                                            <![CDATA[<p>️ Episode 174: TMEM217–SLC9C1: Wiring the cAMP Switch for Sperm Motility and Male Fertility</p>
<p> In this episode of PaperCast Base by Base, we explore a PNAS study revealing how TMEM217 forms a complex with the sperm-specific Na+/H+ exchanger SLC9C1 to organize cAMP signaling, sustain motility, and enable fertilization in mice.</p>
<p> Study Highlights:<br />Using phylogenetic profiling and interactomics, the authors identified TMEM217 as a conserved partner of the exchanger SLC9C1 and showed that both proteins localize to the principal piece of the sperm flagellum. Knockout of Tmem217 produced severe motility defects and infertility with hairpin flagellar bending, accompanied by loss of SLC9C1 and full-length soluble adenylyl cyclase, reduced cAMP levels, and dampened PKA and tyrosine phosphorylation. Co-immunoprecipitation and AlphaFold3 modeling demonstrated that TMEM217 binds the voltage-sensing domain of SLC9C1, supporting a mechanism that assembles the SLC9C1–sAC–cAMP axis during spermiogenesis. Pharmacologic boosting of cAMP paired with membrane-conditioning media restored motility and fertilization in vitro, yielding viable offspring after embryo transfer.</p>
<p> Conclusion:<br />Dissecting the TMEM217–SLC9C1 interface and local cAMP control suggests diagnostics and mutation-agnostic therapeutic strategies for asthenozoospermia and male infertility.</p>
<p> Reference:<br />Iida-Norita R, Miyata H, Ninomiya A, Emori C, Kamoshita M, Pan C, Wang H, Ikawa M. Formation of a complex between TMEM217 and the sodium-proton exchanger SLC9C1 is crucial for mouse sperm motility and male fertility. Proceedings of the National Academy of Sciences. 2025;122(42):e2513924122. https://doi.org/10.1073/pnas.2513924122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - The mystery of athenosomes</li><li>(00:02:00) - How SLC9C1 regulates sperm motility</li><li>(00:06:43) -  Knockout SLC9C1</li><li>(00:11:08) - TMP 217 restores sperm to full function</li><li>(00:12:35) - Immunity of TMM217 in mammalian sperm</li><li>(00:16:03) - Base by base science</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 174: TMEM217–SLC9C1: Wiring the cAMP Switch for Sperm Motility and Male Fertility
 In this episode of PaperCast Base by Base, we explore a PNAS study revealing how TMEM217 forms a complex with the sperm-specific Na+/H+ exchanger SLC9C1 to organize cAMP signaling, sustain motility, and enable fertilization in mice.
 Study Highlights:Using phylogenetic profiling and interactomics, the authors identified TMEM217 as a conserved partner of the exchanger SLC9C1 and showed that both proteins localize to the principal piece of the sperm flagellum. Knockout of Tmem217 produced severe motility defects and infertility with hairpin flagellar bending, accompanied by loss of SLC9C1 and full-length soluble adenylyl cyclase, reduced cAMP levels, and dampened PKA and tyrosine phosphorylation. Co-immunoprecipitation and AlphaFold3 modeling demonstrated that TMEM217 binds the voltage-sensing domain of SLC9C1, supporting a mechanism that assembles the SLC9C1–sAC–cAMP axis during spermiogenesis. Pharmacologic boosting of cAMP paired with membrane-conditioning media restored motility and fertilization in vitro, yielding viable offspring after embryo transfer.
 Conclusion:Dissecting the TMEM217–SLC9C1 interface and local cAMP control suggests diagnostics and mutation-agnostic therapeutic strategies for asthenozoospermia and male infertility.
 Reference:Iida-Norita R, Miyata H, Ninomiya A, Emori C, Kamoshita M, Pan C, Wang H, Ikawa M. Formation of a complex between TMEM217 and the sodium-proton exchanger SLC9C1 is crucial for mouse sperm motility and male fertility. Proceedings of the National Academy of Sciences. 2025;122(42):e2513924122. https://doi.org/10.1073/pnas.2513924122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[174: TMEM217–SLC9C1: Wiring the cAMP Switch for Sperm Motility and Male Fertility]]>
                </itunes:title>
                                    <itunes:episode>174</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                <content:encoded>
                    <![CDATA[<p>️ Episode 174: TMEM217–SLC9C1: Wiring the cAMP Switch for Sperm Motility and Male Fertility</p>
<p> In this episode of PaperCast Base by Base, we explore a PNAS study revealing how TMEM217 forms a complex with the sperm-specific Na+/H+ exchanger SLC9C1 to organize cAMP signaling, sustain motility, and enable fertilization in mice.</p>
<p> Study Highlights:<br />Using phylogenetic profiling and interactomics, the authors identified TMEM217 as a conserved partner of the exchanger SLC9C1 and showed that both proteins localize to the principal piece of the sperm flagellum. Knockout of Tmem217 produced severe motility defects and infertility with hairpin flagellar bending, accompanied by loss of SLC9C1 and full-length soluble adenylyl cyclase, reduced cAMP levels, and dampened PKA and tyrosine phosphorylation. Co-immunoprecipitation and AlphaFold3 modeling demonstrated that TMEM217 binds the voltage-sensing domain of SLC9C1, supporting a mechanism that assembles the SLC9C1–sAC–cAMP axis during spermiogenesis. Pharmacologic boosting of cAMP paired with membrane-conditioning media restored motility and fertilization in vitro, yielding viable offspring after embryo transfer.</p>
<p> Conclusion:<br />Dissecting the TMEM217–SLC9C1 interface and local cAMP control suggests diagnostics and mutation-agnostic therapeutic strategies for asthenozoospermia and male infertility.</p>
<p> Reference:<br />Iida-Norita R, Miyata H, Ninomiya A, Emori C, Kamoshita M, Pan C, Wang H, Ikawa M. Formation of a complex between TMEM217 and the sodium-proton exchanger SLC9C1 is crucial for mouse sperm motility and male fertility. Proceedings of the National Academy of Sciences. 2025;122(42):e2513924122. https://doi.org/10.1073/pnas.2513924122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[️ Episode 174: TMEM217–SLC9C1: Wiring the cAMP Switch for Sperm Motility and Male Fertility
 In this episode of PaperCast Base by Base, we explore a PNAS study revealing how TMEM217 forms a complex with the sperm-specific Na+/H+ exchanger SLC9C1 to organize cAMP signaling, sustain motility, and enable fertilization in mice.
 Study Highlights:Using phylogenetic profiling and interactomics, the authors identified TMEM217 as a conserved partner of the exchanger SLC9C1 and showed that both proteins localize to the principal piece of the sperm flagellum. Knockout of Tmem217 produced severe motility defects and infertility with hairpin flagellar bending, accompanied by loss of SLC9C1 and full-length soluble adenylyl cyclase, reduced cAMP levels, and dampened PKA and tyrosine phosphorylation. Co-immunoprecipitation and AlphaFold3 modeling demonstrated that TMEM217 binds the voltage-sensing domain of SLC9C1, supporting a mechanism that assembles the SLC9C1–sAC–cAMP axis during spermiogenesis. Pharmacologic boosting of cAMP paired with membrane-conditioning media restored motility and fertilization in vitro, yielding viable offspring after embryo transfer.
 Conclusion:Dissecting the TMEM217–SLC9C1 interface and local cAMP control suggests diagnostics and mutation-agnostic therapeutic strategies for asthenozoospermia and male infertility.
 Reference:Iida-Norita R, Miyata H, Ninomiya A, Emori C, Kamoshita M, Pan C, Wang H, Ikawa M. Formation of a complex between TMEM217 and the sodium-proton exchanger SLC9C1 is crucial for mouse sperm motility and male fertility. Proceedings of the National Academy of Sciences. 2025;122(42):e2513924122. https://doi.org/10.1073/pnas.2513924122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2169192/c1a-p6xp7-47mk28wkt8xo-tc460q.png"></itunes:image>
                                                                            <itunes:duration>00:16:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2169192/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[173: Bottlebrush Block Copolymer Shields Muscles and Prevents DMD Onset]]>
                </title>
                <pubDate>Mon, 20 Oct 2025 09:04:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2169186</guid>
                                    <link>https://basebybase.castos.com/episodes/synthetic-bottlebrush-block-copolymer-prevents-disease-onset</link>
                                <description>
                                            <![CDATA[<p>️ Episode 173: Bottlebrush Block Copolymer Shields Muscles and Prevents DMD Onset</p>
<p> In this episode of PaperCast Base by Base, we explore a PNAS study showing how a synthetic bottlebrush block copolymer can act as a powerful membrane stabilizer to protect dystrophin-deficient muscle in Duchenne muscular dystrophy.</p>
<p> Study Highlights:<br />Researchers engineered and tested an amphiphilic bottlebrush diblock polymer, B–PEO43_10–PPO15_5, as a membrane stabilizer in the mdx mouse model of Duchenne muscular dystrophy. At nanomolar doses, the polymer rapidly restored twitch contractility in single dystrophin‑deficient fibers and showed ~150,000‑fold greater potency than optimized linear PEO–PPO copolymers. Early systemic dosing from postnatal day 1 to 21 prevented the surge of serum creatine kinase and blocked histologic hallmarks of damage in tibialis anterior and diaphragm while routine liver and kidney panels remained normal. In adult mice, pretreatment prevented IgG entry into myocardium during isoproterenol stress and significantly improved survival during combined handling and β‑adrenergic stress tests.</p>
<p> Conclusion:<br />This work positions bottlebrush block copolymers as fast‑acting, mutation‑agnostic membrane stabilizers with potential to preserve skeletal, respiratory, and cardiac muscle when deployed early and to complement gene‑based therapies.</p>
<p> Reference:<br />Cohen H, Bez Batti Angulski A, Quick JD, Kuebler TS, Thompson BR, Bauer J, Hahn D, Townsend D, Hassler JF, Hackel BJ, Lodge TP, Sham YY, Bates FS, Metzger JM. Synthetic bottlebrush block copolymer prevents disease onset in Duchenne muscular dystrophy. Proceedings of the National Academy of Sciences. 2025;122(42):e2513599122. https://doi.org/10.1073/pnas.2513599122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Duchenne Muscular Dystrophy: Chemical repair</li><li>(00:02:37) - Synthetic Polymers to stabilize muscle membranes in DC motor dys</li><li>(00:07:40) - Heart failure in MDX mice</li><li>(00:08:48) - Bottle Brush Polymer</li><li>(00:12:58) - Bottle Brush polymer</li><li>(00:18:14) - Deep Dive: Synthetic polymer fixes dystrophic muscle disease</li><li>(00:19:31) - Thinking beyond biological replacement to physical synthetic replacement</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 173: Bottlebrush Block Copolymer Shields Muscles and Prevents DMD Onset
 In this episode of PaperCast Base by Base, we explore a PNAS study showing how a synthetic bottlebrush block copolymer can act as a powerful membrane stabilizer to protect dystrophin-deficient muscle in Duchenne muscular dystrophy.
 Study Highlights:Researchers engineered and tested an amphiphilic bottlebrush diblock polymer, B–PEO43_10–PPO15_5, as a membrane stabilizer in the mdx mouse model of Duchenne muscular dystrophy. At nanomolar doses, the polymer rapidly restored twitch contractility in single dystrophin‑deficient fibers and showed ~150,000‑fold greater potency than optimized linear PEO–PPO copolymers. Early systemic dosing from postnatal day 1 to 21 prevented the surge of serum creatine kinase and blocked histologic hallmarks of damage in tibialis anterior and diaphragm while routine liver and kidney panels remained normal. In adult mice, pretreatment prevented IgG entry into myocardium during isoproterenol stress and significantly improved survival during combined handling and β‑adrenergic stress tests.
 Conclusion:This work positions bottlebrush block copolymers as fast‑acting, mutation‑agnostic membrane stabilizers with potential to preserve skeletal, respiratory, and cardiac muscle when deployed early and to complement gene‑based therapies.
 Reference:Cohen H, Bez Batti Angulski A, Quick JD, Kuebler TS, Thompson BR, Bauer J, Hahn D, Townsend D, Hassler JF, Hackel BJ, Lodge TP, Sham YY, Bates FS, Metzger JM. Synthetic bottlebrush block copolymer prevents disease onset in Duchenne muscular dystrophy. Proceedings of the National Academy of Sciences. 2025;122(42):e2513599122. https://doi.org/10.1073/pnas.2513599122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[173: Bottlebrush Block Copolymer Shields Muscles and Prevents DMD Onset]]>
                </itunes:title>
                                    <itunes:episode>173</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 173: Bottlebrush Block Copolymer Shields Muscles and Prevents DMD Onset</p>
<p> In this episode of PaperCast Base by Base, we explore a PNAS study showing how a synthetic bottlebrush block copolymer can act as a powerful membrane stabilizer to protect dystrophin-deficient muscle in Duchenne muscular dystrophy.</p>
<p> Study Highlights:<br />Researchers engineered and tested an amphiphilic bottlebrush diblock polymer, B–PEO43_10–PPO15_5, as a membrane stabilizer in the mdx mouse model of Duchenne muscular dystrophy. At nanomolar doses, the polymer rapidly restored twitch contractility in single dystrophin‑deficient fibers and showed ~150,000‑fold greater potency than optimized linear PEO–PPO copolymers. Early systemic dosing from postnatal day 1 to 21 prevented the surge of serum creatine kinase and blocked histologic hallmarks of damage in tibialis anterior and diaphragm while routine liver and kidney panels remained normal. In adult mice, pretreatment prevented IgG entry into myocardium during isoproterenol stress and significantly improved survival during combined handling and β‑adrenergic stress tests.</p>
<p> Conclusion:<br />This work positions bottlebrush block copolymers as fast‑acting, mutation‑agnostic membrane stabilizers with potential to preserve skeletal, respiratory, and cardiac muscle when deployed early and to complement gene‑based therapies.</p>
<p> Reference:<br />Cohen H, Bez Batti Angulski A, Quick JD, Kuebler TS, Thompson BR, Bauer J, Hahn D, Townsend D, Hassler JF, Hackel BJ, Lodge TP, Sham YY, Bates FS, Metzger JM. Synthetic bottlebrush block copolymer prevents disease onset in Duchenne muscular dystrophy. Proceedings of the National Academy of Sciences. 2025;122(42):e2513599122. https://doi.org/10.1073/pnas.2513599122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[️ Episode 173: Bottlebrush Block Copolymer Shields Muscles and Prevents DMD Onset
 In this episode of PaperCast Base by Base, we explore a PNAS study showing how a synthetic bottlebrush block copolymer can act as a powerful membrane stabilizer to protect dystrophin-deficient muscle in Duchenne muscular dystrophy.
 Study Highlights:Researchers engineered and tested an amphiphilic bottlebrush diblock polymer, B–PEO43_10–PPO15_5, as a membrane stabilizer in the mdx mouse model of Duchenne muscular dystrophy. At nanomolar doses, the polymer rapidly restored twitch contractility in single dystrophin‑deficient fibers and showed ~150,000‑fold greater potency than optimized linear PEO–PPO copolymers. Early systemic dosing from postnatal day 1 to 21 prevented the surge of serum creatine kinase and blocked histologic hallmarks of damage in tibialis anterior and diaphragm while routine liver and kidney panels remained normal. In adult mice, pretreatment prevented IgG entry into myocardium during isoproterenol stress and significantly improved survival during combined handling and β‑adrenergic stress tests.
 Conclusion:This work positions bottlebrush block copolymers as fast‑acting, mutation‑agnostic membrane stabilizers with potential to preserve skeletal, respiratory, and cardiac muscle when deployed early and to complement gene‑based therapies.
 Reference:Cohen H, Bez Batti Angulski A, Quick JD, Kuebler TS, Thompson BR, Bauer J, Hahn D, Townsend D, Hassler JF, Hackel BJ, Lodge TP, Sham YY, Bates FS, Metzger JM. Synthetic bottlebrush block copolymer prevents disease onset in Duchenne muscular dystrophy. Proceedings of the National Academy of Sciences. 2025;122(42):e2513599122. https://doi.org/10.1073/pnas.2513599122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2169186/c1a-p6xp7-dmxzqqrnb9m6-sgzwxh.png"></itunes:image>
                                                                            <itunes:duration>00:20:12</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2169186/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[172: When Random DNA Fights Back: De Novo Gene Birth as Antiphage Defense]]>
                </title>
                <pubDate>Sun, 19 Oct 2025 15:59:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2169180</guid>
                                    <link>https://basebybase.castos.com/episodes/emergence-of-antiphage-functions-from-random-sequence-librarie</link>
                                <description>
                                            <![CDATA[<p>️ Episode 172: When Random DNA Fights Back: De Novo Gene Birth as Antiphage Defense</p>
<p> In this episode of PaperCast Base by Base, we explore a PNAS study showing that short, previously nongenic DNA sequences can quickly evolve into genes that help bacteria survive phage attack, illuminating early steps of gene birth and the host–virus arms race. fileciteturn2file0</p>
<p> Study Highlights:<br />The authors screened two massive libraries totaling ~100 million (semi-)random open reading frames in Escherichia coli and recovered thousands of sequences that improved survival during T4 phage challenge. A set of short proteins, dubbed Random Inhibitors of Phage infection (Rips), broadly protected cells by activating the Rcs envelope-stress pathway and triggering colanic-acid capsule production that physically blocks adsorption. A second class of hits, Random T4 Inhibitor Products (rtp1–4), acted with specificity by reducing expression of the OmpC outer-membrane receptor, thereby limiting T4 and other OmpC-dependent phage entry; for some rtp genes the protective molecule was RNA rather than protein. Transcriptomics, reporter assays, and adsorption measurements supported these mechanisms while showing minimal growth penalties, and evolved T4 variants rapidly gained baseplate mutations that restored adsorption and infectivity.</p>
<p> Conclusion:<br />Random sequence space harbors many routes to immediate fitness gains, with de novo protein- and RNA-based functions rewiring bacterial envelopes and receptors in ways that both reveal mechanisms of gene birth and suggest new antiphage strategies.</p>
<p> Reference:<br />Frumkin I, Vassallo CN, Chen YH, Laub MT. Emergence of antiphage functions from random sequence libraries reveals mechanisms of gene birth. Proceedings of the National Academy of Sciences. 2025;122(42):e2513255122. https://doi.org/10.1073/pnas.2513255122 fileciteturn2file0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - Deep Dive: The mystery of gene birth and evolution</li><li>(00:03:08) - De novo gene birth</li><li>(00:06:31) - Random but effective phage protection</li><li>(00:11:03) - Random sequences stop the T4 phage</li><li>(00:16:27) - The evolutionary process of the phage</li><li>(00:18:20) - Inventing new microbes: The origins of novelty</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 172: When Random DNA Fights Back: De Novo Gene Birth as Antiphage Defense
 In this episode of PaperCast Base by Base, we explore a PNAS study showing that short, previously nongenic DNA sequences can quickly evolve into genes that help bacteria survive phage attack, illuminating early steps of gene birth and the host–virus arms race. fileciteturn2file0
 Study Highlights:The authors screened two massive libraries totaling ~100 million (semi-)random open reading frames in Escherichia coli and recovered thousands of sequences that improved survival during T4 phage challenge. A set of short proteins, dubbed Random Inhibitors of Phage infection (Rips), broadly protected cells by activating the Rcs envelope-stress pathway and triggering colanic-acid capsule production that physically blocks adsorption. A second class of hits, Random T4 Inhibitor Products (rtp1–4), acted with specificity by reducing expression of the OmpC outer-membrane receptor, thereby limiting T4 and other OmpC-dependent phage entry; for some rtp genes the protective molecule was RNA rather than protein. Transcriptomics, reporter assays, and adsorption measurements supported these mechanisms while showing minimal growth penalties, and evolved T4 variants rapidly gained baseplate mutations that restored adsorption and infectivity.
 Conclusion:Random sequence space harbors many routes to immediate fitness gains, with de novo protein- and RNA-based functions rewiring bacterial envelopes and receptors in ways that both reveal mechanisms of gene birth and suggest new antiphage strategies.
 Reference:Frumkin I, Vassallo CN, Chen YH, Laub MT. Emergence of antiphage functions from random sequence libraries reveals mechanisms of gene birth. Proceedings of the National Academy of Sciences. 2025;122(42):e2513255122. https://doi.org/10.1073/pnas.2513255122 fileciteturn2file0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[172: When Random DNA Fights Back: De Novo Gene Birth as Antiphage Defense]]>
                </itunes:title>
                                    <itunes:episode>172</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 172: When Random DNA Fights Back: De Novo Gene Birth as Antiphage Defense</p>
<p> In this episode of PaperCast Base by Base, we explore a PNAS study showing that short, previously nongenic DNA sequences can quickly evolve into genes that help bacteria survive phage attack, illuminating early steps of gene birth and the host–virus arms race. fileciteturn2file0</p>
<p> Study Highlights:<br />The authors screened two massive libraries totaling ~100 million (semi-)random open reading frames in Escherichia coli and recovered thousands of sequences that improved survival during T4 phage challenge. A set of short proteins, dubbed Random Inhibitors of Phage infection (Rips), broadly protected cells by activating the Rcs envelope-stress pathway and triggering colanic-acid capsule production that physically blocks adsorption. A second class of hits, Random T4 Inhibitor Products (rtp1–4), acted with specificity by reducing expression of the OmpC outer-membrane receptor, thereby limiting T4 and other OmpC-dependent phage entry; for some rtp genes the protective molecule was RNA rather than protein. Transcriptomics, reporter assays, and adsorption measurements supported these mechanisms while showing minimal growth penalties, and evolved T4 variants rapidly gained baseplate mutations that restored adsorption and infectivity.</p>
<p> Conclusion:<br />Random sequence space harbors many routes to immediate fitness gains, with de novo protein- and RNA-based functions rewiring bacterial envelopes and receptors in ways that both reveal mechanisms of gene birth and suggest new antiphage strategies.</p>
<p> Reference:<br />Frumkin I, Vassallo CN, Chen YH, Laub MT. Emergence of antiphage functions from random sequence libraries reveals mechanisms of gene birth. Proceedings of the National Academy of Sciences. 2025;122(42):e2513255122. https://doi.org/10.1073/pnas.2513255122 fileciteturn2file0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[️ Episode 172: When Random DNA Fights Back: De Novo Gene Birth as Antiphage Defense
 In this episode of PaperCast Base by Base, we explore a PNAS study showing that short, previously nongenic DNA sequences can quickly evolve into genes that help bacteria survive phage attack, illuminating early steps of gene birth and the host–virus arms race. fileciteturn2file0
 Study Highlights:The authors screened two massive libraries totaling ~100 million (semi-)random open reading frames in Escherichia coli and recovered thousands of sequences that improved survival during T4 phage challenge. A set of short proteins, dubbed Random Inhibitors of Phage infection (Rips), broadly protected cells by activating the Rcs envelope-stress pathway and triggering colanic-acid capsule production that physically blocks adsorption. A second class of hits, Random T4 Inhibitor Products (rtp1–4), acted with specificity by reducing expression of the OmpC outer-membrane receptor, thereby limiting T4 and other OmpC-dependent phage entry; for some rtp genes the protective molecule was RNA rather than protein. Transcriptomics, reporter assays, and adsorption measurements supported these mechanisms while showing minimal growth penalties, and evolved T4 variants rapidly gained baseplate mutations that restored adsorption and infectivity.
 Conclusion:Random sequence space harbors many routes to immediate fitness gains, with de novo protein- and RNA-based functions rewiring bacterial envelopes and receptors in ways that both reveal mechanisms of gene birth and suggest new antiphage strategies.
 Reference:Frumkin I, Vassallo CN, Chen YH, Laub MT. Emergence of antiphage functions from random sequence libraries reveals mechanisms of gene birth. Proceedings of the National Academy of Sciences. 2025;122(42):e2513255122. https://doi.org/10.1073/pnas.2513255122 fileciteturn2file0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2169180/c1a-p6xp7-mkw4nm5di3g-etsft5.png"></itunes:image>
                                                                            <itunes:duration>00:19:44</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2169180/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[171: Virulence Hierarchies in the Tuberculosis Complex—What Makes Some Lineages Deadlier?]]>
                </title>
                <pubDate>Sat, 18 Oct 2025 08:50:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2169178</guid>
                                    <link>https://basebybase.castos.com/episodes/virulence-hierarchies-within-the-mycobacterium-tuberculosis-com</link>
                                <description>
                                            <![CDATA[<p>️ Episode 171: Virulence Hierarchies in the Tuberculosis Complex—What Makes Some Lineages Deadlier?</p>
<p> In this episode of PaperCast Base by Base, we explore a new PNAS study that directly compares the virulence of Mycobacterium tuberculosis, M. bovis, and M. orygis across natural and laboratory hosts to uncover why animal-adapted lineages can be so devastating.</p>
<p> Study Highlights:<br />The authors performed side-by-side infections in Holstein calves and C57BL/6 mice, showing that M. bovis and M. orygis consistently caused more severe disease, faster mortality, and higher bacterial burdens than M. tuberculosis. Comparative proteomics identified ESAT‑6/CFP‑10 and the SigK‑regulated antigen MPT70 as prominent secreted factors in animal-adapted lineages, and gene deletions reversed the lethal phenotype for M. bovis but not for M. orygis. Disease outcomes depended on infection route and immune history, with oral priming, BCG vaccination, and a multisubunit vaccine (H107e) markedly prolonging survival after aerosol challenge. Together, the data establish a clear virulence hierarchy within the MTBC and point to lineage‑informed antigen choices for future vaccines and control strategies.</p>
<p> Conclusion:<br />Animal-adapted MTBC members can be hypervirulent compared with M. tuberculosis, and their distinct antigenic profiles and route‑dependent biology offer actionable clues for next‑generation zoonotic and human TB vaccines.</p>
<p> Reference:<br />Danchuk SN, Duffy SC, Sullivan J, Rufai SB, McIntosh FA, Lupien A, Harrison LB, et al. Virulence hierarchies within the Mycobacterium tuberculosis complex. Proceedings of the National Academy of Sciences. 2025;122(42):e2507104122. https://doi.org/10.1073/pnas.2507104122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Virulence hierarchies within the Mycobacterium Tu</li><li>(00:03:17) - Fighting mbovin in the calf</li><li>(00:06:05) - M. Bovis vs Amorgis TB pathogenesis</li><li>(00:09:58) - MTBC virulence and the big mystery</li><li>(00:11:52) - Immunity studies of human TB</li><li>(00:13:48) - Animal-adapted TB</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 171: Virulence Hierarchies in the Tuberculosis Complex—What Makes Some Lineages Deadlier?
 In this episode of PaperCast Base by Base, we explore a new PNAS study that directly compares the virulence of Mycobacterium tuberculosis, M. bovis, and M. orygis across natural and laboratory hosts to uncover why animal-adapted lineages can be so devastating.
 Study Highlights:The authors performed side-by-side infections in Holstein calves and C57BL/6 mice, showing that M. bovis and M. orygis consistently caused more severe disease, faster mortality, and higher bacterial burdens than M. tuberculosis. Comparative proteomics identified ESAT‑6/CFP‑10 and the SigK‑regulated antigen MPT70 as prominent secreted factors in animal-adapted lineages, and gene deletions reversed the lethal phenotype for M. bovis but not for M. orygis. Disease outcomes depended on infection route and immune history, with oral priming, BCG vaccination, and a multisubunit vaccine (H107e) markedly prolonging survival after aerosol challenge. Together, the data establish a clear virulence hierarchy within the MTBC and point to lineage‑informed antigen choices for future vaccines and control strategies.
 Conclusion:Animal-adapted MTBC members can be hypervirulent compared with M. tuberculosis, and their distinct antigenic profiles and route‑dependent biology offer actionable clues for next‑generation zoonotic and human TB vaccines.
 Reference:Danchuk SN, Duffy SC, Sullivan J, Rufai SB, McIntosh FA, Lupien A, Harrison LB, et al. Virulence hierarchies within the Mycobacterium tuberculosis complex. Proceedings of the National Academy of Sciences. 2025;122(42):e2507104122. https://doi.org/10.1073/pnas.2507104122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[171: Virulence Hierarchies in the Tuberculosis Complex—What Makes Some Lineages Deadlier?]]>
                </itunes:title>
                                    <itunes:episode>171</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                <content:encoded>
                    <![CDATA[<p>️ Episode 171: Virulence Hierarchies in the Tuberculosis Complex—What Makes Some Lineages Deadlier?</p>
<p> In this episode of PaperCast Base by Base, we explore a new PNAS study that directly compares the virulence of Mycobacterium tuberculosis, M. bovis, and M. orygis across natural and laboratory hosts to uncover why animal-adapted lineages can be so devastating.</p>
<p> Study Highlights:<br />The authors performed side-by-side infections in Holstein calves and C57BL/6 mice, showing that M. bovis and M. orygis consistently caused more severe disease, faster mortality, and higher bacterial burdens than M. tuberculosis. Comparative proteomics identified ESAT‑6/CFP‑10 and the SigK‑regulated antigen MPT70 as prominent secreted factors in animal-adapted lineages, and gene deletions reversed the lethal phenotype for M. bovis but not for M. orygis. Disease outcomes depended on infection route and immune history, with oral priming, BCG vaccination, and a multisubunit vaccine (H107e) markedly prolonging survival after aerosol challenge. Together, the data establish a clear virulence hierarchy within the MTBC and point to lineage‑informed antigen choices for future vaccines and control strategies.</p>
<p> Conclusion:<br />Animal-adapted MTBC members can be hypervirulent compared with M. tuberculosis, and their distinct antigenic profiles and route‑dependent biology offer actionable clues for next‑generation zoonotic and human TB vaccines.</p>
<p> Reference:<br />Danchuk SN, Duffy SC, Sullivan J, Rufai SB, McIntosh FA, Lupien A, Harrison LB, et al. Virulence hierarchies within the Mycobacterium tuberculosis complex. Proceedings of the National Academy of Sciences. 2025;122(42):e2507104122. https://doi.org/10.1073/pnas.2507104122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
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                    <![CDATA[️ Episode 171: Virulence Hierarchies in the Tuberculosis Complex—What Makes Some Lineages Deadlier?
 In this episode of PaperCast Base by Base, we explore a new PNAS study that directly compares the virulence of Mycobacterium tuberculosis, M. bovis, and M. orygis across natural and laboratory hosts to uncover why animal-adapted lineages can be so devastating.
 Study Highlights:The authors performed side-by-side infections in Holstein calves and C57BL/6 mice, showing that M. bovis and M. orygis consistently caused more severe disease, faster mortality, and higher bacterial burdens than M. tuberculosis. Comparative proteomics identified ESAT‑6/CFP‑10 and the SigK‑regulated antigen MPT70 as prominent secreted factors in animal-adapted lineages, and gene deletions reversed the lethal phenotype for M. bovis but not for M. orygis. Disease outcomes depended on infection route and immune history, with oral priming, BCG vaccination, and a multisubunit vaccine (H107e) markedly prolonging survival after aerosol challenge. Together, the data establish a clear virulence hierarchy within the MTBC and point to lineage‑informed antigen choices for future vaccines and control strategies.
 Conclusion:Animal-adapted MTBC members can be hypervirulent compared with M. tuberculosis, and their distinct antigenic profiles and route‑dependent biology offer actionable clues for next‑generation zoonotic and human TB vaccines.
 Reference:Danchuk SN, Duffy SC, Sullivan J, Rufai SB, McIntosh FA, Lupien A, Harrison LB, et al. Virulence hierarchies within the Mycobacterium tuberculosis complex. Proceedings of the National Academy of Sciences. 2025;122(42):e2507104122. https://doi.org/10.1073/pnas.2507104122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:16:14</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                <title>
                    <![CDATA[170: Maternal Age, Meiotic Recombination Failure, and Triploidy in Humans]]>
                </title>
                <pubDate>Fri, 17 Oct 2025 09:25:43 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2167061</guid>
                                    <link>https://basebybase.castos.com/episodes/maternal-age-recombination-failure-triploid-conceptions</link>
                                <description>
                                            <![CDATA[<p>️ Episode 170: Maternal Age, Meiotic Recombination Failure, and Triploidy in Humans</p>
<p> In this episode of PaperCast Base by Base, we explore how maternal age and failures of meiotic recombination shape the origins of triploid conceptions in humans, drawing on large-scale preimplantation genetic testing datasets from ICSI-derived embryos.</p>
<p> Study Highlights:<br />Drawing on 96,660 embryo biopsies with an independent validation cohort of 44,324, the authors quantify the burden of ploidy-level abnormalities in ICSI-derived blastocysts and show that triploidy is about five times more frequent than haploidy at the blastocyst stage. Genotyping and sex-chromosome modeling reveal that nearly all triploid embryos arise from maternal errors, with about one third originating in meiosis I and two thirds in meiosis II, while most haploid embryos reflect loss of the paternal genome. Analysis of parental trios uncovers an unexpected subset of triploid embryos with genome-wide absence of crossovers, indicating a failure to initiate meiotic recombination during oogenesis and implying that such oocytes can still reach ovulation. Maternal age shows a positive, significant association with triploidy/haploidy risk, and the study also identifies rare recombinant maternal isodiploidy among otherwise 46,XX embryos. Evidence of recurrence in a small fraction of couples suggests that beyond age, individual predisposition can elevate the risk of polyploid conceptions.</p>
<p> Conclusion:<br />These findings refine the mechanistic picture of human triploidy by linking maternal age and recombination failure to diploid oocyte formation, with practical implications for risk counseling and embryo assessment in reproductive genetics.</p>
<p> Reference:<br />Picchetta L, Ottolini CS, Tao X, Zhan Y, Jobanputra V, Marin Vallejo C, Mulas F, Paraboschi EM, Escribá Pérez MJ, Molinaro T, Whitehead C, Gill P, Mounts E, Babariya D, Rienzi LF, Ubaldi FM, Garcia-Velasco JA, Pellicer A, Carmi S, Hoffmann ER, Capalbo A. Maternal age and genome-wide failure of meiotic recombination are associated with triploid conceptions in humans. The American Journal of Human Genetics. 2025;112:1–14. <a title="https://doi.org/10.1016/j.ajhg.2025.09.014" href="https://doi.org/10.1016/j.ajhg.2025.09.014" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ajhg.2025.09.014</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 170: Maternal Age, Meiotic Recombination Failure, and Triploidy in Humans
 In this episode of PaperCast Base by Base, we explore how maternal age and failures of meiotic recombination shape the origins of triploid conceptions in humans, drawing on large-scale preimplantation genetic testing datasets from ICSI-derived embryos.
 Study Highlights:Drawing on 96,660 embryo biopsies with an independent validation cohort of 44,324, the authors quantify the burden of ploidy-level abnormalities in ICSI-derived blastocysts and show that triploidy is about five times more frequent than haploidy at the blastocyst stage. Genotyping and sex-chromosome modeling reveal that nearly all triploid embryos arise from maternal errors, with about one third originating in meiosis I and two thirds in meiosis II, while most haploid embryos reflect loss of the paternal genome. Analysis of parental trios uncovers an unexpected subset of triploid embryos with genome-wide absence of crossovers, indicating a failure to initiate meiotic recombination during oogenesis and implying that such oocytes can still reach ovulation. Maternal age shows a positive, significant association with triploidy/haploidy risk, and the study also identifies rare recombinant maternal isodiploidy among otherwise 46,XX embryos. Evidence of recurrence in a small fraction of couples suggests that beyond age, individual predisposition can elevate the risk of polyploid conceptions.
 Conclusion:These findings refine the mechanistic picture of human triploidy by linking maternal age and recombination failure to diploid oocyte formation, with practical implications for risk counseling and embryo assessment in reproductive genetics.
 Reference:Picchetta L, Ottolini CS, Tao X, Zhan Y, Jobanputra V, Marin Vallejo C, Mulas F, Paraboschi EM, Escribá Pérez MJ, Molinaro T, Whitehead C, Gill P, Mounts E, Babariya D, Rienzi LF, Ubaldi FM, Garcia-Velasco JA, Pellicer A, Carmi S, Hoffmann ER, Capalbo A. Maternal age and genome-wide failure of meiotic recombination are associated with triploid conceptions in humans. The American Journal of Human Genetics. 2025;112:1–14. https://doi.org/10.1016/j.ajhg.2025.09.014
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[170: Maternal Age, Meiotic Recombination Failure, and Triploidy in Humans]]>
                </itunes:title>
                                    <itunes:episode>170</itunes:episode>
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                <content:encoded>
                    <![CDATA[<p>️ Episode 170: Maternal Age, Meiotic Recombination Failure, and Triploidy in Humans</p>
<p> In this episode of PaperCast Base by Base, we explore how maternal age and failures of meiotic recombination shape the origins of triploid conceptions in humans, drawing on large-scale preimplantation genetic testing datasets from ICSI-derived embryos.</p>
<p> Study Highlights:<br />Drawing on 96,660 embryo biopsies with an independent validation cohort of 44,324, the authors quantify the burden of ploidy-level abnormalities in ICSI-derived blastocysts and show that triploidy is about five times more frequent than haploidy at the blastocyst stage. Genotyping and sex-chromosome modeling reveal that nearly all triploid embryos arise from maternal errors, with about one third originating in meiosis I and two thirds in meiosis II, while most haploid embryos reflect loss of the paternal genome. Analysis of parental trios uncovers an unexpected subset of triploid embryos with genome-wide absence of crossovers, indicating a failure to initiate meiotic recombination during oogenesis and implying that such oocytes can still reach ovulation. Maternal age shows a positive, significant association with triploidy/haploidy risk, and the study also identifies rare recombinant maternal isodiploidy among otherwise 46,XX embryos. Evidence of recurrence in a small fraction of couples suggests that beyond age, individual predisposition can elevate the risk of polyploid conceptions.</p>
<p> Conclusion:<br />These findings refine the mechanistic picture of human triploidy by linking maternal age and recombination failure to diploid oocyte formation, with practical implications for risk counseling and embryo assessment in reproductive genetics.</p>
<p> Reference:<br />Picchetta L, Ottolini CS, Tao X, Zhan Y, Jobanputra V, Marin Vallejo C, Mulas F, Paraboschi EM, Escribá Pérez MJ, Molinaro T, Whitehead C, Gill P, Mounts E, Babariya D, Rienzi LF, Ubaldi FM, Garcia-Velasco JA, Pellicer A, Carmi S, Hoffmann ER, Capalbo A. Maternal age and genome-wide failure of meiotic recombination are associated with triploid conceptions in humans. The American Journal of Human Genetics. 2025;112:1–14. <a title="https://doi.org/10.1016/j.ajhg.2025.09.014" href="https://doi.org/10.1016/j.ajhg.2025.09.014" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ajhg.2025.09.014</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                    <![CDATA[️ Episode 170: Maternal Age, Meiotic Recombination Failure, and Triploidy in Humans
 In this episode of PaperCast Base by Base, we explore how maternal age and failures of meiotic recombination shape the origins of triploid conceptions in humans, drawing on large-scale preimplantation genetic testing datasets from ICSI-derived embryos.
 Study Highlights:Drawing on 96,660 embryo biopsies with an independent validation cohort of 44,324, the authors quantify the burden of ploidy-level abnormalities in ICSI-derived blastocysts and show that triploidy is about five times more frequent than haploidy at the blastocyst stage. Genotyping and sex-chromosome modeling reveal that nearly all triploid embryos arise from maternal errors, with about one third originating in meiosis I and two thirds in meiosis II, while most haploid embryos reflect loss of the paternal genome. Analysis of parental trios uncovers an unexpected subset of triploid embryos with genome-wide absence of crossovers, indicating a failure to initiate meiotic recombination during oogenesis and implying that such oocytes can still reach ovulation. Maternal age shows a positive, significant association with triploidy/haploidy risk, and the study also identifies rare recombinant maternal isodiploidy among otherwise 46,XX embryos. Evidence of recurrence in a small fraction of couples suggests that beyond age, individual predisposition can elevate the risk of polyploid conceptions.
 Conclusion:These findings refine the mechanistic picture of human triploidy by linking maternal age and recombination failure to diploid oocyte formation, with practical implications for risk counseling and embryo assessment in reproductive genetics.
 Reference:Picchetta L, Ottolini CS, Tao X, Zhan Y, Jobanputra V, Marin Vallejo C, Mulas F, Paraboschi EM, Escribá Pérez MJ, Molinaro T, Whitehead C, Gill P, Mounts E, Babariya D, Rienzi LF, Ubaldi FM, Garcia-Velasco JA, Pellicer A, Carmi S, Hoffmann ER, Capalbo A. Maternal age and genome-wide failure of meiotic recombination are associated with triploid conceptions in humans. The American Journal of Human Genetics. 2025;112:1–14. https://doi.org/10.1016/j.ajhg.2025.09.014
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2167061/c1a-p6xp7-jpn2r03rt6xm-ihkfhu.png"></itunes:image>
                                                                            <itunes:duration>00:17:03</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[169: Deep mutational scanning of the insulin receptor guides precision therapy for insulin resistance]]>
                </title>
                <pubDate>Thu, 16 Oct 2025 20:13:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2166270</guid>
                                    <link>https://basebybase.castos.com/episodes/deep-mutational-scanning-insulin-receptor-precision-therapy</link>
                                <description>
                                            <![CDATA[<p>️ Episode 169: Deep mutational scanning of the insulin receptor guides precision therapy for insulin resistance</p>
<p> In this episode of PaperCast Base by Base, we explore how a comprehensive deep mutational scan of the human insulin receptor ectodomain maps the effects of ~14,000 missense variants on surface expression, insulin binding, and downstream signalling, creating a sequence–function atlas to improve diagnosis and treatment of severe insulin resistance.</p>
<p> Study Highlights:<br />The authors constructed a saturation mutagenesis library across residues 28–955 of INSR and used barcoded, pooled cell-based assays to quantify variant effects on receptor expression, insulin or antibody binding, and maximal AKT phosphorylation in response to insulin. Results pinpointed site 1 residues, including the αCT helix and L1 domain, as highly sensitive to mutation for insulin binding, and revealed regions where signalling is disproportionately impaired relative to binding, consistent with spare receptor behavior. The atlas showed strong concordance with known pathogenic variants and reclassified many variants of uncertain significance by linking function scores to clinical phenotypes across Donohue syndrome, Rabson–Mendenhall syndrome, and Type A insulin resistance. Importantly, the screen identified hundreds of loss‑of‑insulin‑response variants that remain selectively activatable by anti‑INSR monoclonal antibodies, nominating patients who may benefit from non‑canonical receptor agonists and highlighting distinct structural hotspots of antibody sensitivity.</p>
<p> Conclusion:<br />This multidimensional INSR variant map refines genetic interpretation, illuminates receptor structure–function relationships, and enables precision stratification for future antibody‑based therapies in extreme insulin resistance.</p>
<p> Reference:<br />Aslanzadeh V, Brierley GV, Kumar R, Çubuk H, Vigouroux C, Matreyek KA, Kudla G, Semple RK. Deep mutational scanning of the human insulin receptor ectodomain to inform precision therapy for insulin resistance. Nature Communications. 2025;16:9143. <a title="https://doi.org/10.1038/s41467-025-64178-4" href="https://doi.org/10.1038/s41467-025-64178-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64178-4</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> </p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 169: Deep mutational scanning of the insulin receptor guides precision therapy for insulin resistance
 In this episode of PaperCast Base by Base, we explore how a comprehensive deep mutational scan of the human insulin receptor ectodomain maps the effects of ~14,000 missense variants on surface expression, insulin binding, and downstream signalling, creating a sequence–function atlas to improve diagnosis and treatment of severe insulin resistance.
 Study Highlights:The authors constructed a saturation mutagenesis library across residues 28–955 of INSR and used barcoded, pooled cell-based assays to quantify variant effects on receptor expression, insulin or antibody binding, and maximal AKT phosphorylation in response to insulin. Results pinpointed site 1 residues, including the αCT helix and L1 domain, as highly sensitive to mutation for insulin binding, and revealed regions where signalling is disproportionately impaired relative to binding, consistent with spare receptor behavior. The atlas showed strong concordance with known pathogenic variants and reclassified many variants of uncertain significance by linking function scores to clinical phenotypes across Donohue syndrome, Rabson–Mendenhall syndrome, and Type A insulin resistance. Importantly, the screen identified hundreds of loss‑of‑insulin‑response variants that remain selectively activatable by anti‑INSR monoclonal antibodies, nominating patients who may benefit from non‑canonical receptor agonists and highlighting distinct structural hotspots of antibody sensitivity.
 Conclusion:This multidimensional INSR variant map refines genetic interpretation, illuminates receptor structure–function relationships, and enables precision stratification for future antibody‑based therapies in extreme insulin resistance.
 Reference:Aslanzadeh V, Brierley GV, Kumar R, Çubuk H, Vigouroux C, Matreyek KA, Kudla G, Semple RK. Deep mutational scanning of the human insulin receptor ectodomain to inform precision therapy for insulin resistance. Nature Communications. 2025;16:9143. https://doi.org/10.1038/s41467-025-64178-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[169: Deep mutational scanning of the insulin receptor guides precision therapy for insulin resistance]]>
                </itunes:title>
                                    <itunes:episode>169</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 169: Deep mutational scanning of the insulin receptor guides precision therapy for insulin resistance</p>
<p> In this episode of PaperCast Base by Base, we explore how a comprehensive deep mutational scan of the human insulin receptor ectodomain maps the effects of ~14,000 missense variants on surface expression, insulin binding, and downstream signalling, creating a sequence–function atlas to improve diagnosis and treatment of severe insulin resistance.</p>
<p> Study Highlights:<br />The authors constructed a saturation mutagenesis library across residues 28–955 of INSR and used barcoded, pooled cell-based assays to quantify variant effects on receptor expression, insulin or antibody binding, and maximal AKT phosphorylation in response to insulin. Results pinpointed site 1 residues, including the αCT helix and L1 domain, as highly sensitive to mutation for insulin binding, and revealed regions where signalling is disproportionately impaired relative to binding, consistent with spare receptor behavior. The atlas showed strong concordance with known pathogenic variants and reclassified many variants of uncertain significance by linking function scores to clinical phenotypes across Donohue syndrome, Rabson–Mendenhall syndrome, and Type A insulin resistance. Importantly, the screen identified hundreds of loss‑of‑insulin‑response variants that remain selectively activatable by anti‑INSR monoclonal antibodies, nominating patients who may benefit from non‑canonical receptor agonists and highlighting distinct structural hotspots of antibody sensitivity.</p>
<p> Conclusion:<br />This multidimensional INSR variant map refines genetic interpretation, illuminates receptor structure–function relationships, and enables precision stratification for future antibody‑based therapies in extreme insulin resistance.</p>
<p> Reference:<br />Aslanzadeh V, Brierley GV, Kumar R, Çubuk H, Vigouroux C, Matreyek KA, Kudla G, Semple RK. Deep mutational scanning of the human insulin receptor ectodomain to inform precision therapy for insulin resistance. Nature Communications. 2025;16:9143. <a title="https://doi.org/10.1038/s41467-025-64178-4" href="https://doi.org/10.1038/s41467-025-64178-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64178-4</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> </p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 169: Deep mutational scanning of the insulin receptor guides precision therapy for insulin resistance
 In this episode of PaperCast Base by Base, we explore how a comprehensive deep mutational scan of the human insulin receptor ectodomain maps the effects of ~14,000 missense variants on surface expression, insulin binding, and downstream signalling, creating a sequence–function atlas to improve diagnosis and treatment of severe insulin resistance.
 Study Highlights:The authors constructed a saturation mutagenesis library across residues 28–955 of INSR and used barcoded, pooled cell-based assays to quantify variant effects on receptor expression, insulin or antibody binding, and maximal AKT phosphorylation in response to insulin. Results pinpointed site 1 residues, including the αCT helix and L1 domain, as highly sensitive to mutation for insulin binding, and revealed regions where signalling is disproportionately impaired relative to binding, consistent with spare receptor behavior. The atlas showed strong concordance with known pathogenic variants and reclassified many variants of uncertain significance by linking function scores to clinical phenotypes across Donohue syndrome, Rabson–Mendenhall syndrome, and Type A insulin resistance. Importantly, the screen identified hundreds of loss‑of‑insulin‑response variants that remain selectively activatable by anti‑INSR monoclonal antibodies, nominating patients who may benefit from non‑canonical receptor agonists and highlighting distinct structural hotspots of antibody sensitivity.
 Conclusion:This multidimensional INSR variant map refines genetic interpretation, illuminates receptor structure–function relationships, and enables precision stratification for future antibody‑based therapies in extreme insulin resistance.
 Reference:Aslanzadeh V, Brierley GV, Kumar R, Çubuk H, Vigouroux C, Matreyek KA, Kudla G, Semple RK. Deep mutational scanning of the human insulin receptor ectodomain to inform precision therapy for insulin resistance. Nature Communications. 2025;16:9143. https://doi.org/10.1038/s41467-025-64178-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2166270/c1a-p6xp7-xxgw6x02ur5w-9dg4gw.png"></itunes:image>
                                                                            <itunes:duration>00:21:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[168: Low circulating miR-190a-5p predicts progression of chronic kidney disease]]>
                </title>
                <pubDate>Wed, 15 Oct 2025 08:10:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2166268</guid>
                                    <link>https://basebybase.castos.com/episodes/low-circulating-mir-190a-5p-predicts-ckd-progression</link>
                                <description>
                                            <![CDATA[<p>️ Episode 168: Low circulating miR-190a-5p predicts progression of chronic kidney disease</p>
<p> In this episode of PaperCast Base by Base, we explore how unbiased small RNA sequencing and multi-cohort validation identify circulating miR-190a-5p as a prognostic marker of chronic kidney disease that reflects tubular health and points to a potential therapeutic strategy.</p>
<p> Study Highlights:<br />Using small RNA-sequencing of plasma from people with and without CKD in the context of type 2 diabetes, the authors found miR-190a-5p to be significantly reduced in those with impaired kidney function.<br />In an independent prospective CKD cohort, lower serum miR-190a-5p predicted progression among patients with none to moderate albuminuria and improved risk prediction when added to standard clinical variables.<br />Kidney biopsy analyses showed that tissue miR-190a-5p correlates with circulating levels, estimated GFR, and tubular epithelial mass, and inversely with interstitial fibrosis, with expression enriched in proximal tubules.<br />In mouse models, restoring miR-190a-5p reduced tubular injury and fibrosis and repressed ADAM10 expression, supporting a mechanistic role for miR-190a-5p in maintaining tubular cell health.</p>
<p> Conclusion:<br />miR-190a-5p emerges as a tubular-derived biomarker that enhances prognostication in CKD with low–moderate proteinuria and represents a promising candidate for miRNA-mimic therapy development.</p>
<p> Reference:<br />Baird DP, Zang J, Connor KL, Teenan O, Reck M, Cairns C, Sutherland C, Bell RMB, Traynor JP, Wong R, Ferenbach DA, Hughes J, Mark PB, Maxwell AP, McKay GJ, Simpson DA, Conway BR, Denby L. Low circulating miR-190a-5p predicts progression of chronic kidney disease. Nature Communications. 2025;16:9154. <a title="https://doi.org/10.1038/s41467-025-64168-6" href="https://doi.org/10.1038/s41467-025-64168-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64168-6</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 168: Low circulating miR-190a-5p predicts progression of chronic kidney disease
 In this episode of PaperCast Base by Base, we explore how unbiased small RNA sequencing and multi-cohort validation identify circulating miR-190a-5p as a prognostic marker of chronic kidney disease that reflects tubular health and points to a potential therapeutic strategy.
 Study Highlights:Using small RNA-sequencing of plasma from people with and without CKD in the context of type 2 diabetes, the authors found miR-190a-5p to be significantly reduced in those with impaired kidney function.In an independent prospective CKD cohort, lower serum miR-190a-5p predicted progression among patients with none to moderate albuminuria and improved risk prediction when added to standard clinical variables.Kidney biopsy analyses showed that tissue miR-190a-5p correlates with circulating levels, estimated GFR, and tubular epithelial mass, and inversely with interstitial fibrosis, with expression enriched in proximal tubules.In mouse models, restoring miR-190a-5p reduced tubular injury and fibrosis and repressed ADAM10 expression, supporting a mechanistic role for miR-190a-5p in maintaining tubular cell health.
 Conclusion:miR-190a-5p emerges as a tubular-derived biomarker that enhances prognostication in CKD with low–moderate proteinuria and represents a promising candidate for miRNA-mimic therapy development.
 Reference:Baird DP, Zang J, Connor KL, Teenan O, Reck M, Cairns C, Sutherland C, Bell RMB, Traynor JP, Wong R, Ferenbach DA, Hughes J, Mark PB, Maxwell AP, McKay GJ, Simpson DA, Conway BR, Denby L. Low circulating miR-190a-5p predicts progression of chronic kidney disease. Nature Communications. 2025;16:9154. https://doi.org/10.1038/s41467-025-64168-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[168: Low circulating miR-190a-5p predicts progression of chronic kidney disease]]>
                </itunes:title>
                                    <itunes:episode>168</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 168: Low circulating miR-190a-5p predicts progression of chronic kidney disease</p>
<p> In this episode of PaperCast Base by Base, we explore how unbiased small RNA sequencing and multi-cohort validation identify circulating miR-190a-5p as a prognostic marker of chronic kidney disease that reflects tubular health and points to a potential therapeutic strategy.</p>
<p> Study Highlights:<br />Using small RNA-sequencing of plasma from people with and without CKD in the context of type 2 diabetes, the authors found miR-190a-5p to be significantly reduced in those with impaired kidney function.<br />In an independent prospective CKD cohort, lower serum miR-190a-5p predicted progression among patients with none to moderate albuminuria and improved risk prediction when added to standard clinical variables.<br />Kidney biopsy analyses showed that tissue miR-190a-5p correlates with circulating levels, estimated GFR, and tubular epithelial mass, and inversely with interstitial fibrosis, with expression enriched in proximal tubules.<br />In mouse models, restoring miR-190a-5p reduced tubular injury and fibrosis and repressed ADAM10 expression, supporting a mechanistic role for miR-190a-5p in maintaining tubular cell health.</p>
<p> Conclusion:<br />miR-190a-5p emerges as a tubular-derived biomarker that enhances prognostication in CKD with low–moderate proteinuria and represents a promising candidate for miRNA-mimic therapy development.</p>
<p> Reference:<br />Baird DP, Zang J, Connor KL, Teenan O, Reck M, Cairns C, Sutherland C, Bell RMB, Traynor JP, Wong R, Ferenbach DA, Hughes J, Mark PB, Maxwell AP, McKay GJ, Simpson DA, Conway BR, Denby L. Low circulating miR-190a-5p predicts progression of chronic kidney disease. Nature Communications. 2025;16:9154. <a title="https://doi.org/10.1038/s41467-025-64168-6" href="https://doi.org/10.1038/s41467-025-64168-6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-64168-6</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 168: Low circulating miR-190a-5p predicts progression of chronic kidney disease
 In this episode of PaperCast Base by Base, we explore how unbiased small RNA sequencing and multi-cohort validation identify circulating miR-190a-5p as a prognostic marker of chronic kidney disease that reflects tubular health and points to a potential therapeutic strategy.
 Study Highlights:Using small RNA-sequencing of plasma from people with and without CKD in the context of type 2 diabetes, the authors found miR-190a-5p to be significantly reduced in those with impaired kidney function.In an independent prospective CKD cohort, lower serum miR-190a-5p predicted progression among patients with none to moderate albuminuria and improved risk prediction when added to standard clinical variables.Kidney biopsy analyses showed that tissue miR-190a-5p correlates with circulating levels, estimated GFR, and tubular epithelial mass, and inversely with interstitial fibrosis, with expression enriched in proximal tubules.In mouse models, restoring miR-190a-5p reduced tubular injury and fibrosis and repressed ADAM10 expression, supporting a mechanistic role for miR-190a-5p in maintaining tubular cell health.
 Conclusion:miR-190a-5p emerges as a tubular-derived biomarker that enhances prognostication in CKD with low–moderate proteinuria and represents a promising candidate for miRNA-mimic therapy development.
 Reference:Baird DP, Zang J, Connor KL, Teenan O, Reck M, Cairns C, Sutherland C, Bell RMB, Traynor JP, Wong R, Ferenbach DA, Hughes J, Mark PB, Maxwell AP, McKay GJ, Simpson DA, Conway BR, Denby L. Low circulating miR-190a-5p predicts progression of chronic kidney disease. Nature Communications. 2025;16:9154. https://doi.org/10.1038/s41467-025-64168-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2166268/c1a-p6xp7-8dow3dmjskmj-ia8lal.png"></itunes:image>
                                                                            <itunes:duration>00:19:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[167: DeepScence: Detecting Senescent Cells at Single-Cell and Spatial Resolution]]>
                </title>
                <pubDate>Tue, 14 Oct 2025 19:01:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2164562</guid>
                                    <link>https://basebybase.castos.com/episodes/deepscence-single-cell-and-spatial-detection-of-senescent-cells</link>
                                <description>
                                            <![CDATA[<p>️ Episode 167: DeepScence: Detecting Senescent Cells at Single-Cell and Spatial Resolution</p>
<p><br /> In this episode of PaperCast Base by Base, we explore a Cell Genomics study introducing DeepScence, a deep-learning autoencoder that leverages a compact “CoreScence” gene set to identify senescent cells across single-cell and spatial transcriptomics data, outperforming marker- and gene set–based approaches.</p>
<p> Study Highlights:<br />The authors systematically compared nine published senescence gene sets and distilled a consensus 39‑gene CoreScence panel that is consistently associated with senescence across tissues and conditions. DeepScence models expression counts with a zero‑inflated negative binomial autoencoder whose bottleneck separates senescence‑related signal from unrelated variation and outputs a continuous senescence score that can be optionally binarized. Benchmarking on multiple in vitro and in vivo single‑cell datasets shows that DeepScence achieves higher AUROCs than competing methods, and its scores track experimentally validated enrichment of senescent cells in disease or injury contexts. The method generalizes to spatial platforms including Visium and simulated Xenium panels, retaining strong performance with small targeted panels and across species and tissue types.</p>
<p> Conclusion:<br />By centering analysis on a robust core signature and a modality‑aware autoencoder, DeepScence provides a scalable, cross‑platform way to map senescent cells and accelerate aging and disease research.</p>
<p> Reference:<br />Qu Y, Ji B, Dong R, Gu L, Chan C, Xie J, Glass C, Wang X‑F, Nixon AB, Ji Z. Single‑cell and spatial detection of senescent cells using DeepScence. Cell Genomics. 2025;5:101035. <a title="https://doi.org/10.1016/j.xgen.2025.101035" href="https://doi.org/10.1016/j.xgen.2025.101035" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xgen.2025.101035</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 167: DeepScence: Detecting Senescent Cells at Single-Cell and Spatial Resolution
 In this episode of PaperCast Base by Base, we explore a Cell Genomics study introducing DeepScence, a deep-learning autoencoder that leverages a compact “CoreScence” gene set to identify senescent cells across single-cell and spatial transcriptomics data, outperforming marker- and gene set–based approaches.
 Study Highlights:The authors systematically compared nine published senescence gene sets and distilled a consensus 39‑gene CoreScence panel that is consistently associated with senescence across tissues and conditions. DeepScence models expression counts with a zero‑inflated negative binomial autoencoder whose bottleneck separates senescence‑related signal from unrelated variation and outputs a continuous senescence score that can be optionally binarized. Benchmarking on multiple in vitro and in vivo single‑cell datasets shows that DeepScence achieves higher AUROCs than competing methods, and its scores track experimentally validated enrichment of senescent cells in disease or injury contexts. The method generalizes to spatial platforms including Visium and simulated Xenium panels, retaining strong performance with small targeted panels and across species and tissue types.
 Conclusion:By centering analysis on a robust core signature and a modality‑aware autoencoder, DeepScence provides a scalable, cross‑platform way to map senescent cells and accelerate aging and disease research.
 Reference:Qu Y, Ji B, Dong R, Gu L, Chan C, Xie J, Glass C, Wang X‑F, Nixon AB, Ji Z. Single‑cell and spatial detection of senescent cells using DeepScence. Cell Genomics. 2025;5:101035. https://doi.org/10.1016/j.xgen.2025.101035
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[167: DeepScence: Detecting Senescent Cells at Single-Cell and Spatial Resolution]]>
                </itunes:title>
                                    <itunes:episode>167</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 167: DeepScence: Detecting Senescent Cells at Single-Cell and Spatial Resolution</p>
<p><br /> In this episode of PaperCast Base by Base, we explore a Cell Genomics study introducing DeepScence, a deep-learning autoencoder that leverages a compact “CoreScence” gene set to identify senescent cells across single-cell and spatial transcriptomics data, outperforming marker- and gene set–based approaches.</p>
<p> Study Highlights:<br />The authors systematically compared nine published senescence gene sets and distilled a consensus 39‑gene CoreScence panel that is consistently associated with senescence across tissues and conditions. DeepScence models expression counts with a zero‑inflated negative binomial autoencoder whose bottleneck separates senescence‑related signal from unrelated variation and outputs a continuous senescence score that can be optionally binarized. Benchmarking on multiple in vitro and in vivo single‑cell datasets shows that DeepScence achieves higher AUROCs than competing methods, and its scores track experimentally validated enrichment of senescent cells in disease or injury contexts. The method generalizes to spatial platforms including Visium and simulated Xenium panels, retaining strong performance with small targeted panels and across species and tissue types.</p>
<p> Conclusion:<br />By centering analysis on a robust core signature and a modality‑aware autoencoder, DeepScence provides a scalable, cross‑platform way to map senescent cells and accelerate aging and disease research.</p>
<p> Reference:<br />Qu Y, Ji B, Dong R, Gu L, Chan C, Xie J, Glass C, Wang X‑F, Nixon AB, Ji Z. Single‑cell and spatial detection of senescent cells using DeepScence. Cell Genomics. 2025;5:101035. <a title="https://doi.org/10.1016/j.xgen.2025.101035" href="https://doi.org/10.1016/j.xgen.2025.101035" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xgen.2025.101035</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
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                    </enclosure>
                                <itunes:summary>
                    <![CDATA[️ Episode 167: DeepScence: Detecting Senescent Cells at Single-Cell and Spatial Resolution
 In this episode of PaperCast Base by Base, we explore a Cell Genomics study introducing DeepScence, a deep-learning autoencoder that leverages a compact “CoreScence” gene set to identify senescent cells across single-cell and spatial transcriptomics data, outperforming marker- and gene set–based approaches.
 Study Highlights:The authors systematically compared nine published senescence gene sets and distilled a consensus 39‑gene CoreScence panel that is consistently associated with senescence across tissues and conditions. DeepScence models expression counts with a zero‑inflated negative binomial autoencoder whose bottleneck separates senescence‑related signal from unrelated variation and outputs a continuous senescence score that can be optionally binarized. Benchmarking on multiple in vitro and in vivo single‑cell datasets shows that DeepScence achieves higher AUROCs than competing methods, and its scores track experimentally validated enrichment of senescent cells in disease or injury contexts. The method generalizes to spatial platforms including Visium and simulated Xenium panels, retaining strong performance with small targeted panels and across species and tissue types.
 Conclusion:By centering analysis on a robust core signature and a modality‑aware autoencoder, DeepScence provides a scalable, cross‑platform way to map senescent cells and accelerate aging and disease research.
 Reference:Qu Y, Ji B, Dong R, Gu L, Chan C, Xie J, Glass C, Wang X‑F, Nixon AB, Ji Z. Single‑cell and spatial detection of senescent cells using DeepScence. Cell Genomics. 2025;5:101035. https://doi.org/10.1016/j.xgen.2025.101035
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:21:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[166: Molecular Squeezing: How Coronin, Cofilin, and AIP1 Rapidly Disassemble Actin Filaments]]>
                </title>
                <pubDate>Mon, 13 Oct 2025 08:53:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2164556</guid>
                                    <link>https://basebybase.castos.com/episodes/actin-disassembly-coronin-cofilin-aip1</link>
                                <description>
                                            <![CDATA[<p>️ Episode 166: Molecular Squeezing: How Coronin, Cofilin, and AIP1 Rapidly Disassemble Actin Filaments</p>
<p><br /> In this episode of PaperCast Base by Base, we explore a Cell study that uses single-particle cryo-EM to reveal the stepwise, synergistic mechanism by which coronin, cofilin, and AIP1 drive rapid actin filament disassembly in eukaryotic cells.</p>
<p> Study Highlights:<br />The authors solve a series of cryo-EM structures showing that coronin binds cooperatively to F-actin, opens a molecular backdoor to accelerate inorganic phosphate release, and undertwists the filament to prime it for cofilin binding. Cofilin then binds in a strand-restricted cooperative manner that converts subunits to a C-actin state and sterically displaces coronin without immediately severing the filament. AIP1 recognizes the cofilactin platform and triggers severing via a clamp-like molecular squeezing mechanism while remaining at the barbed end to cap it. This structural choreography explains how rapid filament turnover can occur at high cellular cofilin concentrations and clarifies the distinct roles of each factor in actin dynamics.</p>
<p> Conclusion:<br />By redefining AIP1 as the severing effector acting on cofilactin while capping the barbed end, the work provides a unifying structural model for fast actin network disassembly and points to testable predictions for reconstituted and cellular systems.</p>
<p> Reference:<br />Oosterheert W, Boiero Sanders M, Hofnagel O, Bieling P, Raunser S. Choreography of rapid actin filament disassembly by coronin, cofilin, and AIP1. Cell. 2025;188:1–16. <a title="https://doi.org/10.1016/j.cell.2025.09.016" href="https://doi.org/10.1016/j.cell.2025.09.016" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.09.016</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) –<a title="https://creativecommons.org/licenses/by/4.0/" href="%20https%3A/creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener"> https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics. </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 166: Molecular Squeezing: How Coronin, Cofilin, and AIP1 Rapidly Disassemble Actin Filaments
 In this episode of PaperCast Base by Base, we explore a Cell study that uses single-particle cryo-EM to reveal the stepwise, synergistic mechanism by which coronin, cofilin, and AIP1 drive rapid actin filament disassembly in eukaryotic cells.
 Study Highlights:The authors solve a series of cryo-EM structures showing that coronin binds cooperatively to F-actin, opens a molecular backdoor to accelerate inorganic phosphate release, and undertwists the filament to prime it for cofilin binding. Cofilin then binds in a strand-restricted cooperative manner that converts subunits to a C-actin state and sterically displaces coronin without immediately severing the filament. AIP1 recognizes the cofilactin platform and triggers severing via a clamp-like molecular squeezing mechanism while remaining at the barbed end to cap it. This structural choreography explains how rapid filament turnover can occur at high cellular cofilin concentrations and clarifies the distinct roles of each factor in actin dynamics.
 Conclusion:By redefining AIP1 as the severing effector acting on cofilactin while capping the barbed end, the work provides a unifying structural model for fast actin network disassembly and points to testable predictions for reconstituted and cellular systems.
 Reference:Oosterheert W, Boiero Sanders M, Hofnagel O, Bieling P, Raunser S. Choreography of rapid actin filament disassembly by coronin, cofilin, and AIP1. Cell. 2025;188:1–16. https://doi.org/10.1016/j.cell.2025.09.016
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics. ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[166: Molecular Squeezing: How Coronin, Cofilin, and AIP1 Rapidly Disassemble Actin Filaments]]>
                </itunes:title>
                                    <itunes:episode>166</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 166: Molecular Squeezing: How Coronin, Cofilin, and AIP1 Rapidly Disassemble Actin Filaments</p>
<p><br /> In this episode of PaperCast Base by Base, we explore a Cell study that uses single-particle cryo-EM to reveal the stepwise, synergistic mechanism by which coronin, cofilin, and AIP1 drive rapid actin filament disassembly in eukaryotic cells.</p>
<p> Study Highlights:<br />The authors solve a series of cryo-EM structures showing that coronin binds cooperatively to F-actin, opens a molecular backdoor to accelerate inorganic phosphate release, and undertwists the filament to prime it for cofilin binding. Cofilin then binds in a strand-restricted cooperative manner that converts subunits to a C-actin state and sterically displaces coronin without immediately severing the filament. AIP1 recognizes the cofilactin platform and triggers severing via a clamp-like molecular squeezing mechanism while remaining at the barbed end to cap it. This structural choreography explains how rapid filament turnover can occur at high cellular cofilin concentrations and clarifies the distinct roles of each factor in actin dynamics.</p>
<p> Conclusion:<br />By redefining AIP1 as the severing effector acting on cofilactin while capping the barbed end, the work provides a unifying structural model for fast actin network disassembly and points to testable predictions for reconstituted and cellular systems.</p>
<p> Reference:<br />Oosterheert W, Boiero Sanders M, Hofnagel O, Bieling P, Raunser S. Choreography of rapid actin filament disassembly by coronin, cofilin, and AIP1. Cell. 2025;188:1–16. <a title="https://doi.org/10.1016/j.cell.2025.09.016" href="https://doi.org/10.1016/j.cell.2025.09.016" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.09.016</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) –<a title="https://creativecommons.org/licenses/by/4.0/" href="%20https%3A/creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener"> https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics. </p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 166: Molecular Squeezing: How Coronin, Cofilin, and AIP1 Rapidly Disassemble Actin Filaments
 In this episode of PaperCast Base by Base, we explore a Cell study that uses single-particle cryo-EM to reveal the stepwise, synergistic mechanism by which coronin, cofilin, and AIP1 drive rapid actin filament disassembly in eukaryotic cells.
 Study Highlights:The authors solve a series of cryo-EM structures showing that coronin binds cooperatively to F-actin, opens a molecular backdoor to accelerate inorganic phosphate release, and undertwists the filament to prime it for cofilin binding. Cofilin then binds in a strand-restricted cooperative manner that converts subunits to a C-actin state and sterically displaces coronin without immediately severing the filament. AIP1 recognizes the cofilactin platform and triggers severing via a clamp-like molecular squeezing mechanism while remaining at the barbed end to cap it. This structural choreography explains how rapid filament turnover can occur at high cellular cofilin concentrations and clarifies the distinct roles of each factor in actin dynamics.
 Conclusion:By redefining AIP1 as the severing effector acting on cofilactin while capping the barbed end, the work provides a unifying structural model for fast actin network disassembly and points to testable predictions for reconstituted and cellular systems.
 Reference:Oosterheert W, Boiero Sanders M, Hofnagel O, Bieling P, Raunser S. Choreography of rapid actin filament disassembly by coronin, cofilin, and AIP1. Cell. 2025;188:1–16. https://doi.org/10.1016/j.cell.2025.09.016
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics. ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2164556/c1a-p6xp7-wwp666xoavj4-pwqkae.png"></itunes:image>
                                                                            <itunes:duration>00:13:37</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[165: Protist Genomics: Key to Understanding Eukaryotic Evolution]]>
                </title>
                <pubDate>Sun, 12 Oct 2025 08:44:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2164555</guid>
                                    <link>https://basebybase.castos.com/episodes/protist-genomics-key-to-understanding-eukaryotic-evolution</link>
                                <description>
                                            <![CDATA[<p>️ Episode 165: Protist Genomics: Key to Understanding Eukaryotic Evolution</p>
<p><br /> In this episode of PaperCast Base by Base, we explore how accelerating protist genomics—spanning single-cell approaches, metagenomics, and long-read assemblies—unlocks deep insights into eukaryotic evolution, symbiosis, organelle origins, ecosystem dynamics, and the methodological shifts needed to go beyond plant/animal-centric standards.</p>
<p> Study Highlights:<br />This review argues that protists encompass most eukaryotic diversity yet remain severely underrepresented in genome databases, creating blind spots in phylogenomics and models of eukaryotic evolution. It synthesizes emerging wet-lab and computational strategies—such as FACS-enabled single-cell sequencing, nuclei extraction for high-molecular-weight DNA, and long-read plus Hi-C scaffolding—to recover genomes from uncultured and symbiotic taxa. The authors emphasize tailored decontamination and annotation pipelines, taxon-specific BUSCO core sets, and the value of releasing intermediate-quality assemblies to bootstrap reference databases. The article connects genomic advances to big-picture questions including endosymbiosis, repeated origins of multicellularity, terrestrialization, and the roles of protists in biogeochemical cycles and community networks.</p>
<p> Conclusion:<br />Centering protist diversity in genome initiatives, and embracing fit-for-purpose standards and pipelines, will rapidly expand high-quality resources and transform our understanding of eukaryotic cell evolution and ecosystem function.</p>
<p> Reference:<br />Schoenle A, Francis O, Archibald JM, Burki F, de Vries J, Dumack K, Eme L, Florent I, Hehenberger E, Hoffmeyer TT, Irisarri I, Lara E, Leger MM, Lukeš J, Massana R, Mathur V, Nitsche F, Strassert JFH, Worden AZ, Yurchenko V, del Campo J, Waldvogel A-M. Protist genomics: key to understanding eukaryotic evolution. Trends in Genetics. 2025. <a title="https://doi.org/10.1016/j.tig.2025.05.004" href="https://doi.org/10.1016/j.tig.2025.05.004" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.05.004</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 165: Protist Genomics: Key to Understanding Eukaryotic Evolution
 In this episode of PaperCast Base by Base, we explore how accelerating protist genomics—spanning single-cell approaches, metagenomics, and long-read assemblies—unlocks deep insights into eukaryotic evolution, symbiosis, organelle origins, ecosystem dynamics, and the methodological shifts needed to go beyond plant/animal-centric standards.
 Study Highlights:This review argues that protists encompass most eukaryotic diversity yet remain severely underrepresented in genome databases, creating blind spots in phylogenomics and models of eukaryotic evolution. It synthesizes emerging wet-lab and computational strategies—such as FACS-enabled single-cell sequencing, nuclei extraction for high-molecular-weight DNA, and long-read plus Hi-C scaffolding—to recover genomes from uncultured and symbiotic taxa. The authors emphasize tailored decontamination and annotation pipelines, taxon-specific BUSCO core sets, and the value of releasing intermediate-quality assemblies to bootstrap reference databases. The article connects genomic advances to big-picture questions including endosymbiosis, repeated origins of multicellularity, terrestrialization, and the roles of protists in biogeochemical cycles and community networks.
 Conclusion:Centering protist diversity in genome initiatives, and embracing fit-for-purpose standards and pipelines, will rapidly expand high-quality resources and transform our understanding of eukaryotic cell evolution and ecosystem function.
 Reference:Schoenle A, Francis O, Archibald JM, Burki F, de Vries J, Dumack K, Eme L, Florent I, Hehenberger E, Hoffmeyer TT, Irisarri I, Lara E, Leger MM, Lukeš J, Massana R, Mathur V, Nitsche F, Strassert JFH, Worden AZ, Yurchenko V, del Campo J, Waldvogel A-M. Protist genomics: key to understanding eukaryotic evolution. Trends in Genetics. 2025. https://doi.org/10.1016/j.tig.2025.05.004
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[165: Protist Genomics: Key to Understanding Eukaryotic Evolution]]>
                </itunes:title>
                                    <itunes:episode>165</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 165: Protist Genomics: Key to Understanding Eukaryotic Evolution</p>
<p><br /> In this episode of PaperCast Base by Base, we explore how accelerating protist genomics—spanning single-cell approaches, metagenomics, and long-read assemblies—unlocks deep insights into eukaryotic evolution, symbiosis, organelle origins, ecosystem dynamics, and the methodological shifts needed to go beyond plant/animal-centric standards.</p>
<p> Study Highlights:<br />This review argues that protists encompass most eukaryotic diversity yet remain severely underrepresented in genome databases, creating blind spots in phylogenomics and models of eukaryotic evolution. It synthesizes emerging wet-lab and computational strategies—such as FACS-enabled single-cell sequencing, nuclei extraction for high-molecular-weight DNA, and long-read plus Hi-C scaffolding—to recover genomes from uncultured and symbiotic taxa. The authors emphasize tailored decontamination and annotation pipelines, taxon-specific BUSCO core sets, and the value of releasing intermediate-quality assemblies to bootstrap reference databases. The article connects genomic advances to big-picture questions including endosymbiosis, repeated origins of multicellularity, terrestrialization, and the roles of protists in biogeochemical cycles and community networks.</p>
<p> Conclusion:<br />Centering protist diversity in genome initiatives, and embracing fit-for-purpose standards and pipelines, will rapidly expand high-quality resources and transform our understanding of eukaryotic cell evolution and ecosystem function.</p>
<p> Reference:<br />Schoenle A, Francis O, Archibald JM, Burki F, de Vries J, Dumack K, Eme L, Florent I, Hehenberger E, Hoffmeyer TT, Irisarri I, Lara E, Leger MM, Lukeš J, Massana R, Mathur V, Nitsche F, Strassert JFH, Worden AZ, Yurchenko V, del Campo J, Waldvogel A-M. Protist genomics: key to understanding eukaryotic evolution. Trends in Genetics. 2025. <a title="https://doi.org/10.1016/j.tig.2025.05.004" href="https://doi.org/10.1016/j.tig.2025.05.004" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.05.004</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 165: Protist Genomics: Key to Understanding Eukaryotic Evolution
 In this episode of PaperCast Base by Base, we explore how accelerating protist genomics—spanning single-cell approaches, metagenomics, and long-read assemblies—unlocks deep insights into eukaryotic evolution, symbiosis, organelle origins, ecosystem dynamics, and the methodological shifts needed to go beyond plant/animal-centric standards.
 Study Highlights:This review argues that protists encompass most eukaryotic diversity yet remain severely underrepresented in genome databases, creating blind spots in phylogenomics and models of eukaryotic evolution. It synthesizes emerging wet-lab and computational strategies—such as FACS-enabled single-cell sequencing, nuclei extraction for high-molecular-weight DNA, and long-read plus Hi-C scaffolding—to recover genomes from uncultured and symbiotic taxa. The authors emphasize tailored decontamination and annotation pipelines, taxon-specific BUSCO core sets, and the value of releasing intermediate-quality assemblies to bootstrap reference databases. The article connects genomic advances to big-picture questions including endosymbiosis, repeated origins of multicellularity, terrestrialization, and the roles of protists in biogeochemical cycles and community networks.
 Conclusion:Centering protist diversity in genome initiatives, and embracing fit-for-purpose standards and pipelines, will rapidly expand high-quality resources and transform our understanding of eukaryotic cell evolution and ecosystem function.
 Reference:Schoenle A, Francis O, Archibald JM, Burki F, de Vries J, Dumack K, Eme L, Florent I, Hehenberger E, Hoffmeyer TT, Irisarri I, Lara E, Leger MM, Lukeš J, Massana R, Mathur V, Nitsche F, Strassert JFH, Worden AZ, Yurchenko V, del Campo J, Waldvogel A-M. Protist genomics: key to understanding eukaryotic evolution. Trends in Genetics. 2025. https://doi.org/10.1016/j.tig.2025.05.004
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2164555/c1a-p6xp7-wwp66zd7sk2m-sg62yg.png"></itunes:image>
                                                                            <itunes:duration>00:19:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[164: m6A in the coding sequence: linking deposition, translation, and decay]]>
                </title>
                <pubDate>Sat, 11 Oct 2025 10:16:27 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2163083</guid>
                                    <link>https://basebybase.castos.com/episodes/m6a-in-the-coding-sequence-linking-deposition-translation-and-d</link>
                                <description>
                                            <![CDATA[<p>️ Episode 164: m6A in the coding sequence: linking deposition, translation, and decay</p>
<p> In this episode of PaperCast Base by Base, we explore how N6-methyladenosine (m6A) marks within coding sequences orchestrate a fast, translation-coupled route to mRNA decay, and how splicing- and chromatin-linked mechanisms shape where those marks are placed across transcripts.</p>
<p> Study Highlights:<br />The authors synthesize recent mapping and mechanistic studies to show that exon-junction complexes restrict METTL3 activity in coding regions, helping define the mature m6A landscape. They describe CDS–m6A decay (CMD), a translation-dependent pathway in which m6A within A-site codons slows decoding, triggers ribosome pausing and collisions, and accelerates selective mRNA degradation. They integrate evidence that CMD targets are enriched in P-bodies and may interface with decapping machinery, while also noting that reader proteins such as YTHDFs and tRNA modifications like mcm5s2U modulate the strength of pausing and decay. They further discuss how deposition timing spans co- and post-transcriptional windows, with transcription dynamics, histone marks, and nuclear retention fine-tuning site selection and stoichiometry. Finally, they highlight physiological links, including regulation of developmentally important transcripts and potential relevance to cancer biology and METTL3-targeted therapeutics.</p>
<p> Conclusion:<br />CDS-localized m6A acts as a precise switch that couples translation dynamics to rapid mRNA turnover, offering new levers to tune gene expression and potential therapeutic entry points in disease.</p>
<p> Reference:<br />Ćorović M, Hoch-Kraft P, Zhou Y, Hallstein S, König J, Zarnack K (2025). m6A in the coding sequence: linking deposition, translation, and decay. Trends in Genetics. <a title="https://doi.org/10.1016/j.tig.2025.06.002" href="https://doi.org/10.1016/j.tig.2025.06.002" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.06.002</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 164: m6A in the coding sequence: linking deposition, translation, and decay
 In this episode of PaperCast Base by Base, we explore how N6-methyladenosine (m6A) marks within coding sequences orchestrate a fast, translation-coupled route to mRNA decay, and how splicing- and chromatin-linked mechanisms shape where those marks are placed across transcripts.
 Study Highlights:The authors synthesize recent mapping and mechanistic studies to show that exon-junction complexes restrict METTL3 activity in coding regions, helping define the mature m6A landscape. They describe CDS–m6A decay (CMD), a translation-dependent pathway in which m6A within A-site codons slows decoding, triggers ribosome pausing and collisions, and accelerates selective mRNA degradation. They integrate evidence that CMD targets are enriched in P-bodies and may interface with decapping machinery, while also noting that reader proteins such as YTHDFs and tRNA modifications like mcm5s2U modulate the strength of pausing and decay. They further discuss how deposition timing spans co- and post-transcriptional windows, with transcription dynamics, histone marks, and nuclear retention fine-tuning site selection and stoichiometry. Finally, they highlight physiological links, including regulation of developmentally important transcripts and potential relevance to cancer biology and METTL3-targeted therapeutics.
 Conclusion:CDS-localized m6A acts as a precise switch that couples translation dynamics to rapid mRNA turnover, offering new levers to tune gene expression and potential therapeutic entry points in disease.
 Reference:Ćorović M, Hoch-Kraft P, Zhou Y, Hallstein S, König J, Zarnack K (2025). m6A in the coding sequence: linking deposition, translation, and decay. Trends in Genetics. https://doi.org/10.1016/j.tig.2025.06.002
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[164: m6A in the coding sequence: linking deposition, translation, and decay]]>
                </itunes:title>
                                    <itunes:episode>164</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                <content:encoded>
                    <![CDATA[<p>️ Episode 164: m6A in the coding sequence: linking deposition, translation, and decay</p>
<p> In this episode of PaperCast Base by Base, we explore how N6-methyladenosine (m6A) marks within coding sequences orchestrate a fast, translation-coupled route to mRNA decay, and how splicing- and chromatin-linked mechanisms shape where those marks are placed across transcripts.</p>
<p> Study Highlights:<br />The authors synthesize recent mapping and mechanistic studies to show that exon-junction complexes restrict METTL3 activity in coding regions, helping define the mature m6A landscape. They describe CDS–m6A decay (CMD), a translation-dependent pathway in which m6A within A-site codons slows decoding, triggers ribosome pausing and collisions, and accelerates selective mRNA degradation. They integrate evidence that CMD targets are enriched in P-bodies and may interface with decapping machinery, while also noting that reader proteins such as YTHDFs and tRNA modifications like mcm5s2U modulate the strength of pausing and decay. They further discuss how deposition timing spans co- and post-transcriptional windows, with transcription dynamics, histone marks, and nuclear retention fine-tuning site selection and stoichiometry. Finally, they highlight physiological links, including regulation of developmentally important transcripts and potential relevance to cancer biology and METTL3-targeted therapeutics.</p>
<p> Conclusion:<br />CDS-localized m6A acts as a precise switch that couples translation dynamics to rapid mRNA turnover, offering new levers to tune gene expression and potential therapeutic entry points in disease.</p>
<p> Reference:<br />Ćorović M, Hoch-Kraft P, Zhou Y, Hallstein S, König J, Zarnack K (2025). m6A in the coding sequence: linking deposition, translation, and decay. Trends in Genetics. <a title="https://doi.org/10.1016/j.tig.2025.06.002" href="https://doi.org/10.1016/j.tig.2025.06.002" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.06.002</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                    <![CDATA[️ Episode 164: m6A in the coding sequence: linking deposition, translation, and decay
 In this episode of PaperCast Base by Base, we explore how N6-methyladenosine (m6A) marks within coding sequences orchestrate a fast, translation-coupled route to mRNA decay, and how splicing- and chromatin-linked mechanisms shape where those marks are placed across transcripts.
 Study Highlights:The authors synthesize recent mapping and mechanistic studies to show that exon-junction complexes restrict METTL3 activity in coding regions, helping define the mature m6A landscape. They describe CDS–m6A decay (CMD), a translation-dependent pathway in which m6A within A-site codons slows decoding, triggers ribosome pausing and collisions, and accelerates selective mRNA degradation. They integrate evidence that CMD targets are enriched in P-bodies and may interface with decapping machinery, while also noting that reader proteins such as YTHDFs and tRNA modifications like mcm5s2U modulate the strength of pausing and decay. They further discuss how deposition timing spans co- and post-transcriptional windows, with transcription dynamics, histone marks, and nuclear retention fine-tuning site selection and stoichiometry. Finally, they highlight physiological links, including regulation of developmentally important transcripts and potential relevance to cancer biology and METTL3-targeted therapeutics.
 Conclusion:CDS-localized m6A acts as a precise switch that couples translation dynamics to rapid mRNA turnover, offering new levers to tune gene expression and potential therapeutic entry points in disease.
 Reference:Ćorović M, Hoch-Kraft P, Zhou Y, Hallstein S, König J, Zarnack K (2025). m6A in the coding sequence: linking deposition, translation, and decay. Trends in Genetics. https://doi.org/10.1016/j.tig.2025.06.002
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
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                                                                            <itunes:duration>00:14:46</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[163: Animal origins: looping back in time]]>
                </title>
                <pubDate>Fri, 10 Oct 2025 08:54:14 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2162046</guid>
                                    <link>https://basebybase.castos.com/episodes/animal-origins-looping-back-in-time</link>
                                <description>
                                            <![CDATA[<p>️ Episode 163: Animal origins: looping back in time</p>
<p> In this episode of PaperCast Base by Base, we explore how chromatin folding mechanisms emerged alongside animal evolution, focusing on a Spotlight article that synthesizes high-resolution 3D genome maps across unicellular relatives of animals and early-branching metazoans to probe when enhancer–promoter looping first appeared.</p>
<p> Study Highlights:<br />This Spotlight reviews evidence from micro-C datasets spanning ichthyosporeans, filastereans, choanoflagellates, sponges, ctenophores, placozoans, and cnidarians, showing that broad A/B-like chromatin compartments and, crucially, enhancer–promoter chromatin loops are features that arise within animals rather than in their unicellular relatives. It emphasizes that loops are readily detected in early metazoans such as ctenophores, placozoans, and cnidarians, while sponges show weaker or absent looping signals, hinting at lineage-specific trajectories or possible secondary loss. The article highlights unusual promoter hubs in placozoans, where hundreds of transcription start sites cluster, potentially coordinating housekeeping expression programs. Mechanistically, ctenophores appear to use abundant C2H2 zinc-finger proteins that bind unmethylated motifs at loop anchors, suggesting alternative loop-formation strategies distinct from the CTCF-driven loop extrusion and insulated TAD architecture characterized in vertebrates. Together, these observations argue that chromatin loops emerged with complex gene regulation in animals and diversified across lineages instead of following a single universal mechanism.</p>
<p> Conclusion:<br />Chromatin looping likely originated at the dawn of animal life and diversified across lineages, underpinning the rise of complex gene regulation before the canonical, CTCF-insulated TAD architecture seen in many bilaterians.</p>
<p> Reference:<br />Matar, O., &amp; Marlétaz, F. (2025). Animal origins: looping back in time. Trends in Genetics. <a title="https://doi.org/10.1016/j.tig.2025.06.013" href="https://doi.org/10.1016/j.tig.2025.06.013" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.06.013</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> Episode Slug: animal-origins-looping-back-in-time</p>
<p>Keywords: chromatin loops; animal evolution; Micro-C; ctenophores; enhancer–promoter interactions</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 163: Animal origins: looping back in time
 In this episode of PaperCast Base by Base, we explore how chromatin folding mechanisms emerged alongside animal evolution, focusing on a Spotlight article that synthesizes high-resolution 3D genome maps across unicellular relatives of animals and early-branching metazoans to probe when enhancer–promoter looping first appeared.
 Study Highlights:This Spotlight reviews evidence from micro-C datasets spanning ichthyosporeans, filastereans, choanoflagellates, sponges, ctenophores, placozoans, and cnidarians, showing that broad A/B-like chromatin compartments and, crucially, enhancer–promoter chromatin loops are features that arise within animals rather than in their unicellular relatives. It emphasizes that loops are readily detected in early metazoans such as ctenophores, placozoans, and cnidarians, while sponges show weaker or absent looping signals, hinting at lineage-specific trajectories or possible secondary loss. The article highlights unusual promoter hubs in placozoans, where hundreds of transcription start sites cluster, potentially coordinating housekeeping expression programs. Mechanistically, ctenophores appear to use abundant C2H2 zinc-finger proteins that bind unmethylated motifs at loop anchors, suggesting alternative loop-formation strategies distinct from the CTCF-driven loop extrusion and insulated TAD architecture characterized in vertebrates. Together, these observations argue that chromatin loops emerged with complex gene regulation in animals and diversified across lineages instead of following a single universal mechanism.
 Conclusion:Chromatin looping likely originated at the dawn of animal life and diversified across lineages, underpinning the rise of complex gene regulation before the canonical, CTCF-insulated TAD architecture seen in many bilaterians.
 Reference:Matar, O., & Marlétaz, F. (2025). Animal origins: looping back in time. Trends in Genetics. https://doi.org/10.1016/j.tig.2025.06.013
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Episode Slug: animal-origins-looping-back-in-time
Keywords: chromatin loops; animal evolution; Micro-C; ctenophores; enhancer–promoter interactions]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[163: Animal origins: looping back in time]]>
                </itunes:title>
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                    <![CDATA[<p>️ Episode 163: Animal origins: looping back in time</p>
<p> In this episode of PaperCast Base by Base, we explore how chromatin folding mechanisms emerged alongside animal evolution, focusing on a Spotlight article that synthesizes high-resolution 3D genome maps across unicellular relatives of animals and early-branching metazoans to probe when enhancer–promoter looping first appeared.</p>
<p> Study Highlights:<br />This Spotlight reviews evidence from micro-C datasets spanning ichthyosporeans, filastereans, choanoflagellates, sponges, ctenophores, placozoans, and cnidarians, showing that broad A/B-like chromatin compartments and, crucially, enhancer–promoter chromatin loops are features that arise within animals rather than in their unicellular relatives. It emphasizes that loops are readily detected in early metazoans such as ctenophores, placozoans, and cnidarians, while sponges show weaker or absent looping signals, hinting at lineage-specific trajectories or possible secondary loss. The article highlights unusual promoter hubs in placozoans, where hundreds of transcription start sites cluster, potentially coordinating housekeeping expression programs. Mechanistically, ctenophores appear to use abundant C2H2 zinc-finger proteins that bind unmethylated motifs at loop anchors, suggesting alternative loop-formation strategies distinct from the CTCF-driven loop extrusion and insulated TAD architecture characterized in vertebrates. Together, these observations argue that chromatin loops emerged with complex gene regulation in animals and diversified across lineages instead of following a single universal mechanism.</p>
<p> Conclusion:<br />Chromatin looping likely originated at the dawn of animal life and diversified across lineages, underpinning the rise of complex gene regulation before the canonical, CTCF-insulated TAD architecture seen in many bilaterians.</p>
<p> Reference:<br />Matar, O., &amp; Marlétaz, F. (2025). Animal origins: looping back in time. Trends in Genetics. <a title="https://doi.org/10.1016/j.tig.2025.06.013" href="https://doi.org/10.1016/j.tig.2025.06.013" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.06.013</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> Episode Slug: animal-origins-looping-back-in-time</p>
<p>Keywords: chromatin loops; animal evolution; Micro-C; ctenophores; enhancer–promoter interactions</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 163: Animal origins: looping back in time
 In this episode of PaperCast Base by Base, we explore how chromatin folding mechanisms emerged alongside animal evolution, focusing on a Spotlight article that synthesizes high-resolution 3D genome maps across unicellular relatives of animals and early-branching metazoans to probe when enhancer–promoter looping first appeared.
 Study Highlights:This Spotlight reviews evidence from micro-C datasets spanning ichthyosporeans, filastereans, choanoflagellates, sponges, ctenophores, placozoans, and cnidarians, showing that broad A/B-like chromatin compartments and, crucially, enhancer–promoter chromatin loops are features that arise within animals rather than in their unicellular relatives. It emphasizes that loops are readily detected in early metazoans such as ctenophores, placozoans, and cnidarians, while sponges show weaker or absent looping signals, hinting at lineage-specific trajectories or possible secondary loss. The article highlights unusual promoter hubs in placozoans, where hundreds of transcription start sites cluster, potentially coordinating housekeeping expression programs. Mechanistically, ctenophores appear to use abundant C2H2 zinc-finger proteins that bind unmethylated motifs at loop anchors, suggesting alternative loop-formation strategies distinct from the CTCF-driven loop extrusion and insulated TAD architecture characterized in vertebrates. Together, these observations argue that chromatin loops emerged with complex gene regulation in animals and diversified across lineages instead of following a single universal mechanism.
 Conclusion:Chromatin looping likely originated at the dawn of animal life and diversified across lineages, underpinning the rise of complex gene regulation before the canonical, CTCF-insulated TAD architecture seen in many bilaterians.
 Reference:Matar, O., & Marlétaz, F. (2025). Animal origins: looping back in time. Trends in Genetics. https://doi.org/10.1016/j.tig.2025.06.013
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Episode Slug: animal-origins-looping-back-in-time
Keywords: chromatin loops; animal evolution; Micro-C; ctenophores; enhancer–promoter interactions]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:14:18</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[162: Spatially Resolved microRNA Expression in Tissues: Technologies, Challenges, and Opportunities]]>
                </title>
                <pubDate>Thu, 09 Oct 2025 08:51:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2162044</guid>
                                    <link>https://basebybase.castos.com/episodes/spatially-resolved-microrna-expression-in-tissues</link>
                                <description>
                                            <![CDATA[<p>️ Episode 162: Spatially Resolved microRNA Expression in Tissues: Technologies, Challenges, and Opportunities</p>
<p> In this episode of PaperCast Base by Base, we explore how emerging “spatial miRNomics” methods map microRNA expression directly within intact tissues, revealing cell- and region-specific regulatory patterns that bulk and even single-cell assays can miss.</p>
<p> Study Highlights:<br />This review charts the field from established singleplex imaging with LNA probes and miRNAscope to early multiplex strategies and sequencing-based workflows that add poly(A) tails in situ to capture small RNAs. It explains how spatial total RNA sequencing (STRS) and Patho-DBiT adapt commercial spatial transcriptomics to detect miRNAs, reporting tissue- and disease-specific signatures in FFPE and fresh-frozen samples. The authors detail fixation chemistry, probe design, and sensitivity constraints unique to short RNAs, and they outline bioinformatic needs including isomiR-aware alignment, rRNA depletion strategies, and target-based activity inference such as miTEA‑HiRes. They close with a roadmap to scale from low-plex detection toward omics-level profiling and clinical translation across oncology, neurology, cardiology, and immune pathology.</p>
<p> Conclusion:<br />Spatial miRNomics is poised to unlock the location-specific layer of post-transcriptional regulation, but robust chemistry, higher multiplexing, single-cell resolution, and standardized pipelines are essential for clinical impact.</p>
<p> Reference:<br />Robles‑Remacho, A., Zou, Y., Grillo, M., &amp; Nilsson, M. (2025). Spatially resolved microRNA expression in tissues: technologies, challenges, and opportunities. Trends in Genetics. <a title="https://doi.org/10.1016/j.tig.2025.06.005" href="https://doi.org/10.1016/j.tig.2025.06.005" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.06.005</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 162: Spatially Resolved microRNA Expression in Tissues: Technologies, Challenges, and Opportunities
 In this episode of PaperCast Base by Base, we explore how emerging “spatial miRNomics” methods map microRNA expression directly within intact tissues, revealing cell- and region-specific regulatory patterns that bulk and even single-cell assays can miss.
 Study Highlights:This review charts the field from established singleplex imaging with LNA probes and miRNAscope to early multiplex strategies and sequencing-based workflows that add poly(A) tails in situ to capture small RNAs. It explains how spatial total RNA sequencing (STRS) and Patho-DBiT adapt commercial spatial transcriptomics to detect miRNAs, reporting tissue- and disease-specific signatures in FFPE and fresh-frozen samples. The authors detail fixation chemistry, probe design, and sensitivity constraints unique to short RNAs, and they outline bioinformatic needs including isomiR-aware alignment, rRNA depletion strategies, and target-based activity inference such as miTEA‑HiRes. They close with a roadmap to scale from low-plex detection toward omics-level profiling and clinical translation across oncology, neurology, cardiology, and immune pathology.
 Conclusion:Spatial miRNomics is poised to unlock the location-specific layer of post-transcriptional regulation, but robust chemistry, higher multiplexing, single-cell resolution, and standardized pipelines are essential for clinical impact.
 Reference:Robles‑Remacho, A., Zou, Y., Grillo, M., & Nilsson, M. (2025). Spatially resolved microRNA expression in tissues: technologies, challenges, and opportunities. Trends in Genetics. https://doi.org/10.1016/j.tig.2025.06.005
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
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                    <![CDATA[162: Spatially Resolved microRNA Expression in Tissues: Technologies, Challenges, and Opportunities]]>
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                    <![CDATA[<p>️ Episode 162: Spatially Resolved microRNA Expression in Tissues: Technologies, Challenges, and Opportunities</p>
<p> In this episode of PaperCast Base by Base, we explore how emerging “spatial miRNomics” methods map microRNA expression directly within intact tissues, revealing cell- and region-specific regulatory patterns that bulk and even single-cell assays can miss.</p>
<p> Study Highlights:<br />This review charts the field from established singleplex imaging with LNA probes and miRNAscope to early multiplex strategies and sequencing-based workflows that add poly(A) tails in situ to capture small RNAs. It explains how spatial total RNA sequencing (STRS) and Patho-DBiT adapt commercial spatial transcriptomics to detect miRNAs, reporting tissue- and disease-specific signatures in FFPE and fresh-frozen samples. The authors detail fixation chemistry, probe design, and sensitivity constraints unique to short RNAs, and they outline bioinformatic needs including isomiR-aware alignment, rRNA depletion strategies, and target-based activity inference such as miTEA‑HiRes. They close with a roadmap to scale from low-plex detection toward omics-level profiling and clinical translation across oncology, neurology, cardiology, and immune pathology.</p>
<p> Conclusion:<br />Spatial miRNomics is poised to unlock the location-specific layer of post-transcriptional regulation, but robust chemistry, higher multiplexing, single-cell resolution, and standardized pipelines are essential for clinical impact.</p>
<p> Reference:<br />Robles‑Remacho, A., Zou, Y., Grillo, M., &amp; Nilsson, M. (2025). Spatially resolved microRNA expression in tissues: technologies, challenges, and opportunities. Trends in Genetics. <a title="https://doi.org/10.1016/j.tig.2025.06.005" href="https://doi.org/10.1016/j.tig.2025.06.005" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.06.005</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                    <![CDATA[️ Episode 162: Spatially Resolved microRNA Expression in Tissues: Technologies, Challenges, and Opportunities
 In this episode of PaperCast Base by Base, we explore how emerging “spatial miRNomics” methods map microRNA expression directly within intact tissues, revealing cell- and region-specific regulatory patterns that bulk and even single-cell assays can miss.
 Study Highlights:This review charts the field from established singleplex imaging with LNA probes and miRNAscope to early multiplex strategies and sequencing-based workflows that add poly(A) tails in situ to capture small RNAs. It explains how spatial total RNA sequencing (STRS) and Patho-DBiT adapt commercial spatial transcriptomics to detect miRNAs, reporting tissue- and disease-specific signatures in FFPE and fresh-frozen samples. The authors detail fixation chemistry, probe design, and sensitivity constraints unique to short RNAs, and they outline bioinformatic needs including isomiR-aware alignment, rRNA depletion strategies, and target-based activity inference such as miTEA‑HiRes. They close with a roadmap to scale from low-plex detection toward omics-level profiling and clinical translation across oncology, neurology, cardiology, and immune pathology.
 Conclusion:Spatial miRNomics is poised to unlock the location-specific layer of post-transcriptional regulation, but robust chemistry, higher multiplexing, single-cell resolution, and standardized pipelines are essential for clinical impact.
 Reference:Robles‑Remacho, A., Zou, Y., Grillo, M., & Nilsson, M. (2025). Spatially resolved microRNA expression in tissues: technologies, challenges, and opportunities. Trends in Genetics. https://doi.org/10.1016/j.tig.2025.06.005
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:20:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[161: Decoding Genomic Landscapes of Introgression]]>
                </title>
                <pubDate>Wed, 08 Oct 2025 08:24:41 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                    <link>https://basebybase.castos.com/episodes/decoding-genomic-landscapes-of-introgression</link>
                                <description>
                                            <![CDATA[<p>️ Episode 161: Decoding Genomic Landscapes of Introgression</p>
<p> In this episode of PaperCast Base by Base, we explore how modern population genetics dissects the genomic footprints of introgression across species, reviewing summary statistic approaches, probabilistic modeling, and supervised learning, and showing how these methods reveal adaptive and ghost introgression and the functional roles of introgressed loci.</p>
<p> Study Highlights:<br />The authors organize the field into three complementary pillars: summary statistics for fast exploratory scans, probabilistic models for principled inference of local ancestry and selection, and supervised deep learning for scalable, high‑resolution predictions. They explain why windowed statistics such as fd, df, and fdM improve on D for localizing introgressed loci and how methods like S*, S′, and topology weighting tackle ghost introgression and gene‑tree discordance. They show that probabilistic tools including IBDmix, VolcanoFinder, HMM‑based local ancestry, and ARG‑based frameworks can quantify fragment properties and selection while handling complex scenarios such as multi‑source and low‑coverage data. They highlight emerging CNN‑ and segmentation‑based models (e.g., IntroUNET) that operate on genotype matrices to mark introgressed alleles with fine resolution, alongside real‑world applications beyond humans that implicate loci tied to immunity, reproduction, and environmental adaptation.</p>
<p> Conclusion:<br />Together, these approaches map introgression at increasing resolution and generality, and the field is moving toward transparent, benchmarked, and accessible tools that integrate statistics, probabilistic modeling, and machine learning to decode how gene flow shapes genomes across the tree of life.</p>
<p> Reference:<br />Huang X, Hackl J, Kuhlwilm M (2025) Decoding genomic landscapes of introgression. Trends in Genetics. <a title="https://doi.org/10.1016/j.tig.2025.07.001" href="https://doi.org/10.1016/j.tig.2025.07.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.07.001</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 161: Decoding Genomic Landscapes of Introgression
 In this episode of PaperCast Base by Base, we explore how modern population genetics dissects the genomic footprints of introgression across species, reviewing summary statistic approaches, probabilistic modeling, and supervised learning, and showing how these methods reveal adaptive and ghost introgression and the functional roles of introgressed loci.
 Study Highlights:The authors organize the field into three complementary pillars: summary statistics for fast exploratory scans, probabilistic models for principled inference of local ancestry and selection, and supervised deep learning for scalable, high‑resolution predictions. They explain why windowed statistics such as fd, df, and fdM improve on D for localizing introgressed loci and how methods like S*, S′, and topology weighting tackle ghost introgression and gene‑tree discordance. They show that probabilistic tools including IBDmix, VolcanoFinder, HMM‑based local ancestry, and ARG‑based frameworks can quantify fragment properties and selection while handling complex scenarios such as multi‑source and low‑coverage data. They highlight emerging CNN‑ and segmentation‑based models (e.g., IntroUNET) that operate on genotype matrices to mark introgressed alleles with fine resolution, alongside real‑world applications beyond humans that implicate loci tied to immunity, reproduction, and environmental adaptation.
 Conclusion:Together, these approaches map introgression at increasing resolution and generality, and the field is moving toward transparent, benchmarked, and accessible tools that integrate statistics, probabilistic modeling, and machine learning to decode how gene flow shapes genomes across the tree of life.
 Reference:Huang X, Hackl J, Kuhlwilm M (2025) Decoding genomic landscapes of introgression. Trends in Genetics. https://doi.org/10.1016/j.tig.2025.07.001
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[161: Decoding Genomic Landscapes of Introgression]]>
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                                    <itunes:episode>161</itunes:episode>
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                    <![CDATA[<p>️ Episode 161: Decoding Genomic Landscapes of Introgression</p>
<p> In this episode of PaperCast Base by Base, we explore how modern population genetics dissects the genomic footprints of introgression across species, reviewing summary statistic approaches, probabilistic modeling, and supervised learning, and showing how these methods reveal adaptive and ghost introgression and the functional roles of introgressed loci.</p>
<p> Study Highlights:<br />The authors organize the field into three complementary pillars: summary statistics for fast exploratory scans, probabilistic models for principled inference of local ancestry and selection, and supervised deep learning for scalable, high‑resolution predictions. They explain why windowed statistics such as fd, df, and fdM improve on D for localizing introgressed loci and how methods like S*, S′, and topology weighting tackle ghost introgression and gene‑tree discordance. They show that probabilistic tools including IBDmix, VolcanoFinder, HMM‑based local ancestry, and ARG‑based frameworks can quantify fragment properties and selection while handling complex scenarios such as multi‑source and low‑coverage data. They highlight emerging CNN‑ and segmentation‑based models (e.g., IntroUNET) that operate on genotype matrices to mark introgressed alleles with fine resolution, alongside real‑world applications beyond humans that implicate loci tied to immunity, reproduction, and environmental adaptation.</p>
<p> Conclusion:<br />Together, these approaches map introgression at increasing resolution and generality, and the field is moving toward transparent, benchmarked, and accessible tools that integrate statistics, probabilistic modeling, and machine learning to decode how gene flow shapes genomes across the tree of life.</p>
<p> Reference:<br />Huang X, Hackl J, Kuhlwilm M (2025) Decoding genomic landscapes of introgression. Trends in Genetics. <a title="https://doi.org/10.1016/j.tig.2025.07.001" href="https://doi.org/10.1016/j.tig.2025.07.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.07.001</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 161: Decoding Genomic Landscapes of Introgression
 In this episode of PaperCast Base by Base, we explore how modern population genetics dissects the genomic footprints of introgression across species, reviewing summary statistic approaches, probabilistic modeling, and supervised learning, and showing how these methods reveal adaptive and ghost introgression and the functional roles of introgressed loci.
 Study Highlights:The authors organize the field into three complementary pillars: summary statistics for fast exploratory scans, probabilistic models for principled inference of local ancestry and selection, and supervised deep learning for scalable, high‑resolution predictions. They explain why windowed statistics such as fd, df, and fdM improve on D for localizing introgressed loci and how methods like S*, S′, and topology weighting tackle ghost introgression and gene‑tree discordance. They show that probabilistic tools including IBDmix, VolcanoFinder, HMM‑based local ancestry, and ARG‑based frameworks can quantify fragment properties and selection while handling complex scenarios such as multi‑source and low‑coverage data. They highlight emerging CNN‑ and segmentation‑based models (e.g., IntroUNET) that operate on genotype matrices to mark introgressed alleles with fine resolution, alongside real‑world applications beyond humans that implicate loci tied to immunity, reproduction, and environmental adaptation.
 Conclusion:Together, these approaches map introgression at increasing resolution and generality, and the field is moving toward transparent, benchmarked, and accessible tools that integrate statistics, probabilistic modeling, and machine learning to decode how gene flow shapes genomes across the tree of life.
 Reference:Huang X, Hackl J, Kuhlwilm M (2025) Decoding genomic landscapes of introgression. Trends in Genetics. https://doi.org/10.1016/j.tig.2025.07.001
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2160744/c1a-p6xp7-25mdp36ocp0-3ljle0.png"></itunes:image>
                                                                            <itunes:duration>00:20:55</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[160: The Long‑Read Leap in Single‑Cell Omics]]>
                </title>
                <pubDate>Tue, 07 Oct 2025 08:55:53 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                    <link>https://basebybase.castos.com/episodes/160-the-longread-leap-in-singlecell-omics</link>
                                <description>
                                            <![CDATA[<p>️ Episode 160: The Long‑Read Leap in Single‑Cell Omics</p>
<p><br /> In this episode of PaperCast Base by Base, we explore how long‑read, single‑molecule sequencing has collided with single‑cell technologies to illuminate “dark” regions and events in the genome, epigenome, and transcriptome that short reads routinely miss.</p>
<p><br /> Study Highlights:<br />This review maps the rapid maturation of Pacific Biosciences and Oxford Nanopore platforms alongside single‑cell methods, showing how full‑length isoform sequencing reveals complex alternative splicing at single‑cell resolution. It details single‑cell long‑read genome assays such as SMOOTH‑seq and dMDA that sensitively detect structural variants and enable haplotype phasing with tens of cells. It outlines long‑read single‑cell epigenome tools, including scNanoATAC‑seq, scNanoSeq‑CUT&amp;Tag, scNanoCOOL‑seq, and scNanoHi‑C, which recover allele‑specific states, repetitive elements, and higher‑order chromatin contacts. It also highlights computational advances for isoform discovery and quantification as well as open questions around spatial long‑read transcriptomics, native RNA modification detection, and complete per‑cell assemblies.</p>
<p><br /> Conclusion:<br />Long‑read platforms integrated with single‑cell omics are redefining what can be measured in complex genomic regions, setting the stage for richer mechanistic insights and clinically relevant assays in development, aging, and disease.</p>
<p><br /> Reference:<br />Wen, L.; Tang, F. Single‑cell omics sequencing technologies: the long‑read generation. Trends in Genetics (2025). <a title="https://doi.org/10.1016/j.tig.2025.07.012" href="https://doi.org/10.1016/j.tig.2025.07.012" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.07.012</a><br /> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a><br /> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a><br /> Episode Slug: long-read-single-cell-omics<br />Keywords: single-cell; long-read sequencing; alternative splicing; structural variation; epigenomics</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 160: The Long‑Read Leap in Single‑Cell Omics
 In this episode of PaperCast Base by Base, we explore how long‑read, single‑molecule sequencing has collided with single‑cell technologies to illuminate “dark” regions and events in the genome, epigenome, and transcriptome that short reads routinely miss.
 Study Highlights:This review maps the rapid maturation of Pacific Biosciences and Oxford Nanopore platforms alongside single‑cell methods, showing how full‑length isoform sequencing reveals complex alternative splicing at single‑cell resolution. It details single‑cell long‑read genome assays such as SMOOTH‑seq and dMDA that sensitively detect structural variants and enable haplotype phasing with tens of cells. It outlines long‑read single‑cell epigenome tools, including scNanoATAC‑seq, scNanoSeq‑CUT&Tag, scNanoCOOL‑seq, and scNanoHi‑C, which recover allele‑specific states, repetitive elements, and higher‑order chromatin contacts. It also highlights computational advances for isoform discovery and quantification as well as open questions around spatial long‑read transcriptomics, native RNA modification detection, and complete per‑cell assemblies.
 Conclusion:Long‑read platforms integrated with single‑cell omics are redefining what can be measured in complex genomic regions, setting the stage for richer mechanistic insights and clinically relevant assays in development, aging, and disease.
 Reference:Wen, L.; Tang, F. Single‑cell omics sequencing technologies: the long‑read generation. Trends in Genetics (2025). https://doi.org/10.1016/j.tig.2025.07.012 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/ Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/ Episode Slug: long-read-single-cell-omicsKeywords: single-cell; long-read sequencing; alternative splicing; structural variation; epigenomics]]>
                </itunes:subtitle>
                                <itunes:title>
                    <![CDATA[160: The Long‑Read Leap in Single‑Cell Omics]]>
                </itunes:title>
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                    <![CDATA[<p>️ Episode 160: The Long‑Read Leap in Single‑Cell Omics</p>
<p><br /> In this episode of PaperCast Base by Base, we explore how long‑read, single‑molecule sequencing has collided with single‑cell technologies to illuminate “dark” regions and events in the genome, epigenome, and transcriptome that short reads routinely miss.</p>
<p><br /> Study Highlights:<br />This review maps the rapid maturation of Pacific Biosciences and Oxford Nanopore platforms alongside single‑cell methods, showing how full‑length isoform sequencing reveals complex alternative splicing at single‑cell resolution. It details single‑cell long‑read genome assays such as SMOOTH‑seq and dMDA that sensitively detect structural variants and enable haplotype phasing with tens of cells. It outlines long‑read single‑cell epigenome tools, including scNanoATAC‑seq, scNanoSeq‑CUT&amp;Tag, scNanoCOOL‑seq, and scNanoHi‑C, which recover allele‑specific states, repetitive elements, and higher‑order chromatin contacts. It also highlights computational advances for isoform discovery and quantification as well as open questions around spatial long‑read transcriptomics, native RNA modification detection, and complete per‑cell assemblies.</p>
<p><br /> Conclusion:<br />Long‑read platforms integrated with single‑cell omics are redefining what can be measured in complex genomic regions, setting the stage for richer mechanistic insights and clinically relevant assays in development, aging, and disease.</p>
<p><br /> Reference:<br />Wen, L.; Tang, F. Single‑cell omics sequencing technologies: the long‑read generation. Trends in Genetics (2025). <a title="https://doi.org/10.1016/j.tig.2025.07.012" href="https://doi.org/10.1016/j.tig.2025.07.012" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.07.012</a><br /> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a><br /> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a><br /> Episode Slug: long-read-single-cell-omics<br />Keywords: single-cell; long-read sequencing; alternative splicing; structural variation; epigenomics</p>]]>
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                    <![CDATA[️ Episode 160: The Long‑Read Leap in Single‑Cell Omics
 In this episode of PaperCast Base by Base, we explore how long‑read, single‑molecule sequencing has collided with single‑cell technologies to illuminate “dark” regions and events in the genome, epigenome, and transcriptome that short reads routinely miss.
 Study Highlights:This review maps the rapid maturation of Pacific Biosciences and Oxford Nanopore platforms alongside single‑cell methods, showing how full‑length isoform sequencing reveals complex alternative splicing at single‑cell resolution. It details single‑cell long‑read genome assays such as SMOOTH‑seq and dMDA that sensitively detect structural variants and enable haplotype phasing with tens of cells. It outlines long‑read single‑cell epigenome tools, including scNanoATAC‑seq, scNanoSeq‑CUT&Tag, scNanoCOOL‑seq, and scNanoHi‑C, which recover allele‑specific states, repetitive elements, and higher‑order chromatin contacts. It also highlights computational advances for isoform discovery and quantification as well as open questions around spatial long‑read transcriptomics, native RNA modification detection, and complete per‑cell assemblies.
 Conclusion:Long‑read platforms integrated with single‑cell omics are redefining what can be measured in complex genomic regions, setting the stage for richer mechanistic insights and clinically relevant assays in development, aging, and disease.
 Reference:Wen, L.; Tang, F. Single‑cell omics sequencing technologies: the long‑read generation. Trends in Genetics (2025). https://doi.org/10.1016/j.tig.2025.07.012 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/ Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/ Episode Slug: long-read-single-cell-omicsKeywords: single-cell; long-read sequencing; alternative splicing; structural variation; epigenomics]]>
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                                                                            <itunes:duration>00:15:36</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[159: The Untapped Potential of Short‑Read Sequencing in Biodiversity Research]]>
                </title>
                <pubDate>Mon, 06 Oct 2025 08:42:21 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2158812</guid>
                                    <link>https://basebybase.castos.com/episodes/the-untapped-potential-of-short-read-sequencing-in-biodiversity</link>
                                <description>
                                            <![CDATA[<p>️ Episode 159: The Untapped Potential of Short‑Read Sequencing in Biodiversity Research</p>
<p> In this episode of PaperCast Base by Base, we explore how modern short‑read sequencing and genome skimming are reshaping biodiversity science—from rapid species identification and biomass estimation to scalable phylogenomics and holobiont studies—while keeping costs and sample requirements low.</p>
<p> Study Highlights:<br />This review synthesizes how low‑coverage short‑read data can recover organellar genomes and high‑copy nuclear markers, enabling robust taxonomic identification and phylogenetic inference across diverse taxa. It explains assembly‑free and mapping approaches that extract universal single‑copy orthologs or k‑mer signatures directly from raw reads, expanding analyses even when DNA is degraded or coverage is sparse. The authors show that genome size and repeat content (mobilome) can be estimated accurately from skims, supporting comparative genomics without reference‑quality assemblies. They highlight museum and type specimens as genomic treasure troves for building curated reference databases at scale, crucial for monitoring programs tied to the Global Biodiversity Framework. Finally, the paper surveys emerging short‑read platforms that further reduce per‑gigabase costs, pointing to rapid growth in throughput and accessibility for biodiversity applications.</p>
<p> Conclusion:<br />Short‑read sequencing remains a powerful, scalable backbone for biodiversity genomics, offering cost‑effective, reference‑complementary insights that accelerate conservation, monitoring, and evolutionary discovery.</p>
<p> Reference:<br />Bleidorn C, Sandberg F, Martin S, Vogler AP, Podsiadlowski L. The untapped potential of short‑read sequencing in biodiversity research. Trends in Genetics. 2025. <a title="https://doi.org/10.1016/j.tig.2025.09.001" href="https://doi.org/10.1016/j.tig.2025.09.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.09.001</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 159: The Untapped Potential of Short‑Read Sequencing in Biodiversity Research
 In this episode of PaperCast Base by Base, we explore how modern short‑read sequencing and genome skimming are reshaping biodiversity science—from rapid species identification and biomass estimation to scalable phylogenomics and holobiont studies—while keeping costs and sample requirements low.
 Study Highlights:This review synthesizes how low‑coverage short‑read data can recover organellar genomes and high‑copy nuclear markers, enabling robust taxonomic identification and phylogenetic inference across diverse taxa. It explains assembly‑free and mapping approaches that extract universal single‑copy orthologs or k‑mer signatures directly from raw reads, expanding analyses even when DNA is degraded or coverage is sparse. The authors show that genome size and repeat content (mobilome) can be estimated accurately from skims, supporting comparative genomics without reference‑quality assemblies. They highlight museum and type specimens as genomic treasure troves for building curated reference databases at scale, crucial for monitoring programs tied to the Global Biodiversity Framework. Finally, the paper surveys emerging short‑read platforms that further reduce per‑gigabase costs, pointing to rapid growth in throughput and accessibility for biodiversity applications.
 Conclusion:Short‑read sequencing remains a powerful, scalable backbone for biodiversity genomics, offering cost‑effective, reference‑complementary insights that accelerate conservation, monitoring, and evolutionary discovery.
 Reference:Bleidorn C, Sandberg F, Martin S, Vogler AP, Podsiadlowski L. The untapped potential of short‑read sequencing in biodiversity research. Trends in Genetics. 2025. https://doi.org/10.1016/j.tig.2025.09.001
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[159: The Untapped Potential of Short‑Read Sequencing in Biodiversity Research]]>
                </itunes:title>
                                    <itunes:episode>159</itunes:episode>
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                    <![CDATA[<p>️ Episode 159: The Untapped Potential of Short‑Read Sequencing in Biodiversity Research</p>
<p> In this episode of PaperCast Base by Base, we explore how modern short‑read sequencing and genome skimming are reshaping biodiversity science—from rapid species identification and biomass estimation to scalable phylogenomics and holobiont studies—while keeping costs and sample requirements low.</p>
<p> Study Highlights:<br />This review synthesizes how low‑coverage short‑read data can recover organellar genomes and high‑copy nuclear markers, enabling robust taxonomic identification and phylogenetic inference across diverse taxa. It explains assembly‑free and mapping approaches that extract universal single‑copy orthologs or k‑mer signatures directly from raw reads, expanding analyses even when DNA is degraded or coverage is sparse. The authors show that genome size and repeat content (mobilome) can be estimated accurately from skims, supporting comparative genomics without reference‑quality assemblies. They highlight museum and type specimens as genomic treasure troves for building curated reference databases at scale, crucial for monitoring programs tied to the Global Biodiversity Framework. Finally, the paper surveys emerging short‑read platforms that further reduce per‑gigabase costs, pointing to rapid growth in throughput and accessibility for biodiversity applications.</p>
<p> Conclusion:<br />Short‑read sequencing remains a powerful, scalable backbone for biodiversity genomics, offering cost‑effective, reference‑complementary insights that accelerate conservation, monitoring, and evolutionary discovery.</p>
<p> Reference:<br />Bleidorn C, Sandberg F, Martin S, Vogler AP, Podsiadlowski L. The untapped potential of short‑read sequencing in biodiversity research. Trends in Genetics. 2025. <a title="https://doi.org/10.1016/j.tig.2025.09.001" href="https://doi.org/10.1016/j.tig.2025.09.001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.09.001</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 159: The Untapped Potential of Short‑Read Sequencing in Biodiversity Research
 In this episode of PaperCast Base by Base, we explore how modern short‑read sequencing and genome skimming are reshaping biodiversity science—from rapid species identification and biomass estimation to scalable phylogenomics and holobiont studies—while keeping costs and sample requirements low.
 Study Highlights:This review synthesizes how low‑coverage short‑read data can recover organellar genomes and high‑copy nuclear markers, enabling robust taxonomic identification and phylogenetic inference across diverse taxa. It explains assembly‑free and mapping approaches that extract universal single‑copy orthologs or k‑mer signatures directly from raw reads, expanding analyses even when DNA is degraded or coverage is sparse. The authors show that genome size and repeat content (mobilome) can be estimated accurately from skims, supporting comparative genomics without reference‑quality assemblies. They highlight museum and type specimens as genomic treasure troves for building curated reference databases at scale, crucial for monitoring programs tied to the Global Biodiversity Framework. Finally, the paper surveys emerging short‑read platforms that further reduce per‑gigabase costs, pointing to rapid growth in throughput and accessibility for biodiversity applications.
 Conclusion:Short‑read sequencing remains a powerful, scalable backbone for biodiversity genomics, offering cost‑effective, reference‑complementary insights that accelerate conservation, monitoring, and evolutionary discovery.
 Reference:Bleidorn C, Sandberg F, Martin S, Vogler AP, Podsiadlowski L. The untapped potential of short‑read sequencing in biodiversity research. Trends in Genetics. 2025. https://doi.org/10.1016/j.tig.2025.09.001
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                                                            <itunes:duration>00:15:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[158: Interruptions in Repeat Expansion Diseases: How Are They Gained and Lost?]]>
                </title>
                <pubDate>Sun, 05 Oct 2025 13:02:18 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2158107</guid>
                                    <link>https://basebybase.castos.com/episodes/interruptions-repeat-expansion-diseases-gained-lost</link>
                                <description>
                                            <![CDATA[<p>️ Episode 158: Interruptions in Repeat Expansion Diseases: How Are They Gained and Lost?</p>
<p>In this episode of PaperCast Base by Base, we explore how small sequence changes—“interruptions”—within expanded tandem repeats shape the onset and severity of repeat expansion disorders, and a new mechanistic model that may explain how these interruptions are gained and lost across generations.</p>
<p>Study Highlights:<br />Interruptions within repeat tracts can dampen somatic expansion and shift clinical trajectories, helping to explain variability in age at onset and phenotype across disorders such as Huntington’s disease, myotonic dystrophy type 1, spinocerebellar ataxias, and fragile X. Advances in long-read sequencing now reveal interrupted alleles with greater fidelity, expanding diagnostic and research possibilities. The authors propose synthesis-dependent microhomology-mediated end joining (SD-MMEJ) as a unifying mechanism that can generate locus-specific interruptions, create the apparent bias toward repeat–flanking boundaries, and produce complex alleles within a single generation. The model yields clear predictions—about the role of double-strand breaks, polymerase θ activity, and the influence of flanking sequence structures—that can be tested as new cellular systems emerge.</p>
<p>Conclusion:<br />Understanding and ultimately controlling interruption dynamics could open therapeutic avenues to stabilize pathogenic repeats and modify disease course.</p>
<p>Reference:<br />Aston AN, Dion V. Interruptions impact clinical features of repeat expansion diseases, but how are they gained and lost? Trends in Genetics. 2025. <a title="https://doi.org/10.1016/j.tig.2025.07.005" href="https://doi.org/10.1016/j.tig.2025.07.005" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.07.005</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 158: Interruptions in Repeat Expansion Diseases: How Are They Gained and Lost?
In this episode of PaperCast Base by Base, we explore how small sequence changes—“interruptions”—within expanded tandem repeats shape the onset and severity of repeat expansion disorders, and a new mechanistic model that may explain how these interruptions are gained and lost across generations.
Study Highlights:Interruptions within repeat tracts can dampen somatic expansion and shift clinical trajectories, helping to explain variability in age at onset and phenotype across disorders such as Huntington’s disease, myotonic dystrophy type 1, spinocerebellar ataxias, and fragile X. Advances in long-read sequencing now reveal interrupted alleles with greater fidelity, expanding diagnostic and research possibilities. The authors propose synthesis-dependent microhomology-mediated end joining (SD-MMEJ) as a unifying mechanism that can generate locus-specific interruptions, create the apparent bias toward repeat–flanking boundaries, and produce complex alleles within a single generation. The model yields clear predictions—about the role of double-strand breaks, polymerase θ activity, and the influence of flanking sequence structures—that can be tested as new cellular systems emerge.
Conclusion:Understanding and ultimately controlling interruption dynamics could open therapeutic avenues to stabilize pathogenic repeats and modify disease course.
Reference:Aston AN, Dion V. Interruptions impact clinical features of repeat expansion diseases, but how are they gained and lost? Trends in Genetics. 2025. https://doi.org/10.1016/j.tig.2025.07.005
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[158: Interruptions in Repeat Expansion Diseases: How Are They Gained and Lost?]]>
                </itunes:title>
                                    <itunes:episode>158</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 158: Interruptions in Repeat Expansion Diseases: How Are They Gained and Lost?</p>
<p>In this episode of PaperCast Base by Base, we explore how small sequence changes—“interruptions”—within expanded tandem repeats shape the onset and severity of repeat expansion disorders, and a new mechanistic model that may explain how these interruptions are gained and lost across generations.</p>
<p>Study Highlights:<br />Interruptions within repeat tracts can dampen somatic expansion and shift clinical trajectories, helping to explain variability in age at onset and phenotype across disorders such as Huntington’s disease, myotonic dystrophy type 1, spinocerebellar ataxias, and fragile X. Advances in long-read sequencing now reveal interrupted alleles with greater fidelity, expanding diagnostic and research possibilities. The authors propose synthesis-dependent microhomology-mediated end joining (SD-MMEJ) as a unifying mechanism that can generate locus-specific interruptions, create the apparent bias toward repeat–flanking boundaries, and produce complex alleles within a single generation. The model yields clear predictions—about the role of double-strand breaks, polymerase θ activity, and the influence of flanking sequence structures—that can be tested as new cellular systems emerge.</p>
<p>Conclusion:<br />Understanding and ultimately controlling interruption dynamics could open therapeutic avenues to stabilize pathogenic repeats and modify disease course.</p>
<p>Reference:<br />Aston AN, Dion V. Interruptions impact clinical features of repeat expansion diseases, but how are they gained and lost? Trends in Genetics. 2025. <a title="https://doi.org/10.1016/j.tig.2025.07.005" href="https://doi.org/10.1016/j.tig.2025.07.005" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.07.005</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 158: Interruptions in Repeat Expansion Diseases: How Are They Gained and Lost?
In this episode of PaperCast Base by Base, we explore how small sequence changes—“interruptions”—within expanded tandem repeats shape the onset and severity of repeat expansion disorders, and a new mechanistic model that may explain how these interruptions are gained and lost across generations.
Study Highlights:Interruptions within repeat tracts can dampen somatic expansion and shift clinical trajectories, helping to explain variability in age at onset and phenotype across disorders such as Huntington’s disease, myotonic dystrophy type 1, spinocerebellar ataxias, and fragile X. Advances in long-read sequencing now reveal interrupted alleles with greater fidelity, expanding diagnostic and research possibilities. The authors propose synthesis-dependent microhomology-mediated end joining (SD-MMEJ) as a unifying mechanism that can generate locus-specific interruptions, create the apparent bias toward repeat–flanking boundaries, and produce complex alleles within a single generation. The model yields clear predictions—about the role of double-strand breaks, polymerase θ activity, and the influence of flanking sequence structures—that can be tested as new cellular systems emerge.
Conclusion:Understanding and ultimately controlling interruption dynamics could open therapeutic avenues to stabilize pathogenic repeats and modify disease course.
Reference:Aston AN, Dion V. Interruptions impact clinical features of repeat expansion diseases, but how are they gained and lost? Trends in Genetics. 2025. https://doi.org/10.1016/j.tig.2025.07.005
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2158107/c1a-p6xp7-0vprzg3gfqoz-h7yt4d.png"></itunes:image>
                                                                            <itunes:duration>00:22:35</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[157: Synthetic gametes and the non-identity problem: the babies of tomorrow]]>
                </title>
                <pubDate>Sat, 04 Oct 2025 13:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2158105</guid>
                                    <link>https://basebybase.castos.com/episodes/synthetic-gametes-and-the-non-identity-problem-the-babies-of-to</link>
                                <description>
                                            <![CDATA[<p>️ Episode 157: Synthetic gametes and the non-identity problem: the babies of tomorrow</p>
<p><br /> In this episode of PaperCast Base by Base, we explore how synthetic DNA technologies may enable the creation of synthetic gametes and why this possibility forces a rethinking of identity, harm, and responsibility in human reproduction.</p>
<p> Study Highlights:<br />The authors argue that while building a full human genome remains infeasible today, engineering haploid genomes for gametes is a nearer-term and more tractable objective, drawing on advances such as synthetic chromosomes in yeast. They analyze how synthetic gametes differ ethically from embryo editing and PGD: instead of altering an existing embryo, they may bring into existence a different individual altogether, shifting the moral lens from person‑affecting harms to impersonal benefits and reproductive autonomy. The paper situates the debate within the “non‑identity problem,” explaining that reducing heritable disease risk via designed gametes can be justified as improving overall outcomes even if no particular future person is directly benefited. The authors further distinguish this approach from coercive eugenics, emphasizing voluntary use to minimize preventable suffering rather than to pursue perfection.</p>
<p> Conclusion:<br />Synthetic gametes reframe reproductive genetics from selection and modification to creation, raising urgent but navigable ethical questions about wellbeing, autonomy, and how societies should evaluate bringing a better‑off child into existence.</p>
<p> Reference:<br />Villalba A, Räsänen J. 2025. Synthetic gametes and the non-identity problem: the babies of tomorrow. Trends in Genetics. <a title="https://doi.org/10.1016/j.tig.2025.08.004" href="https://doi.org/10.1016/j.tig.2025.08.004" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.08.004</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) –<a title="https://creativecommons.org/licenses/by/4.0/" href="%20https%3A/creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener"> https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 157: Synthetic gametes and the non-identity problem: the babies of tomorrow
 In this episode of PaperCast Base by Base, we explore how synthetic DNA technologies may enable the creation of synthetic gametes and why this possibility forces a rethinking of identity, harm, and responsibility in human reproduction.
 Study Highlights:The authors argue that while building a full human genome remains infeasible today, engineering haploid genomes for gametes is a nearer-term and more tractable objective, drawing on advances such as synthetic chromosomes in yeast. They analyze how synthetic gametes differ ethically from embryo editing and PGD: instead of altering an existing embryo, they may bring into existence a different individual altogether, shifting the moral lens from person‑affecting harms to impersonal benefits and reproductive autonomy. The paper situates the debate within the “non‑identity problem,” explaining that reducing heritable disease risk via designed gametes can be justified as improving overall outcomes even if no particular future person is directly benefited. The authors further distinguish this approach from coercive eugenics, emphasizing voluntary use to minimize preventable suffering rather than to pursue perfection.
 Conclusion:Synthetic gametes reframe reproductive genetics from selection and modification to creation, raising urgent but navigable ethical questions about wellbeing, autonomy, and how societies should evaluate bringing a better‑off child into existence.
 Reference:Villalba A, Räsänen J. 2025. Synthetic gametes and the non-identity problem: the babies of tomorrow. Trends in Genetics. https://doi.org/10.1016/j.tig.2025.08.004
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[157: Synthetic gametes and the non-identity problem: the babies of tomorrow]]>
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                                    <itunes:episode>157</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                <content:encoded>
                    <![CDATA[<p>️ Episode 157: Synthetic gametes and the non-identity problem: the babies of tomorrow</p>
<p><br /> In this episode of PaperCast Base by Base, we explore how synthetic DNA technologies may enable the creation of synthetic gametes and why this possibility forces a rethinking of identity, harm, and responsibility in human reproduction.</p>
<p> Study Highlights:<br />The authors argue that while building a full human genome remains infeasible today, engineering haploid genomes for gametes is a nearer-term and more tractable objective, drawing on advances such as synthetic chromosomes in yeast. They analyze how synthetic gametes differ ethically from embryo editing and PGD: instead of altering an existing embryo, they may bring into existence a different individual altogether, shifting the moral lens from person‑affecting harms to impersonal benefits and reproductive autonomy. The paper situates the debate within the “non‑identity problem,” explaining that reducing heritable disease risk via designed gametes can be justified as improving overall outcomes even if no particular future person is directly benefited. The authors further distinguish this approach from coercive eugenics, emphasizing voluntary use to minimize preventable suffering rather than to pursue perfection.</p>
<p> Conclusion:<br />Synthetic gametes reframe reproductive genetics from selection and modification to creation, raising urgent but navigable ethical questions about wellbeing, autonomy, and how societies should evaluate bringing a better‑off child into existence.</p>
<p> Reference:<br />Villalba A, Räsänen J. 2025. Synthetic gametes and the non-identity problem: the babies of tomorrow. Trends in Genetics. <a title="https://doi.org/10.1016/j.tig.2025.08.004" href="https://doi.org/10.1016/j.tig.2025.08.004" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.tig.2025.08.004</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) –<a title="https://creativecommons.org/licenses/by/4.0/" href="%20https%3A/creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener"> https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
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                    <![CDATA[️ Episode 157: Synthetic gametes and the non-identity problem: the babies of tomorrow
 In this episode of PaperCast Base by Base, we explore how synthetic DNA technologies may enable the creation of synthetic gametes and why this possibility forces a rethinking of identity, harm, and responsibility in human reproduction.
 Study Highlights:The authors argue that while building a full human genome remains infeasible today, engineering haploid genomes for gametes is a nearer-term and more tractable objective, drawing on advances such as synthetic chromosomes in yeast. They analyze how synthetic gametes differ ethically from embryo editing and PGD: instead of altering an existing embryo, they may bring into existence a different individual altogether, shifting the moral lens from person‑affecting harms to impersonal benefits and reproductive autonomy. The paper situates the debate within the “non‑identity problem,” explaining that reducing heritable disease risk via designed gametes can be justified as improving overall outcomes even if no particular future person is directly benefited. The authors further distinguish this approach from coercive eugenics, emphasizing voluntary use to minimize preventable suffering rather than to pursue perfection.
 Conclusion:Synthetic gametes reframe reproductive genetics from selection and modification to creation, raising urgent but navigable ethical questions about wellbeing, autonomy, and how societies should evaluate bringing a better‑off child into existence.
 Reference:Villalba A, Räsänen J. 2025. Synthetic gametes and the non-identity problem: the babies of tomorrow. Trends in Genetics. https://doi.org/10.1016/j.tig.2025.08.004
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2158105/c1a-p6xp7-0vprzg10t19m-xxi2kd.png"></itunes:image>
                                                                            <itunes:duration>00:14:32</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[156: RAEFISH: Sequencing-free whole-genome spatial transcriptomics at single-molecule resolution]]>
                </title>
                <pubDate>Fri, 03 Oct 2025 12:53:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2158101</guid>
                                    <link>https://basebybase.castos.com/episodes/raefish-sequencing-free-whole-genome-spatial-transcriptomics</link>
                                <description>
                                            <![CDATA[<p>️ Episode 156: RAEFISH: Sequencing-free whole-genome spatial transcriptomics at single-molecule resolution</p>
<p>In this episode of PaperCast Base by Base, we explore RAEFISH, a reverse-padlock amplicon-encoding FISH method that delivers whole-transcriptome imaging at single-molecule resolution without sequencing. The study demonstrates genome-scale coverage across cells and intact tissues and extends to direct readout of CRISPR guide RNAs, enabling high-content functional screens with spatial context.</p>
<p>Study Highlights:<br />RAEFISH introduces a “reversed” padlock design with splint-assisted ligation, rolling-circle amplification, and MERFISH-style sequential readouts to barcode &gt;20,000 transcripts while remaining compatible with cost-efficient oligo pool amplification. In A549 cells, the authors report an average of 3,749 decoded RNA molecules per cell from about 1,287 genes, with expression levels correlating with bulk RNA-seq and strong replicate reproducibility. The method generalizes to mouse tissues, mapping cell-type architectures and zonation programs in liver, placenta, and lymph node at single-molecule resolution. Finally, the Perturb-RAEFISH extension directly decodes gRNA spacer sequences in pooled CRISPR screens, detecting dozens of gRNA copies per cell and linking perturbations to spatial phenotypes without separate barcodes.</p>
<p>Conclusion:<br />RAEFISH expands spatial transcriptomics to genome-wide, single-molecule imaging and unlocks direct, image-based CRISPR perturbation readouts, setting the stage for unbiased discovery of spatial gene programs in development, physiology, and disease.</p>
<p>Reference:<br />Cheng Y, Dang S, Zhang Y, Chen Y, Yu R, Liu M, Jin S, Han A, Katz S, Wang S (2025). Sequencing-free whole-genome spatial transcriptomics at single-molecule resolution. Cell 188:1–18. <a title="https://doi.org/10.1016/j.cell.2025.09.006" href="https://doi.org/10.1016/j.cell.2025.09.006" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.09.006</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Episode Slug: raefish-sequencing-free-whole-genome-spatial-transcriptomics</p>
<p>Keywords: RAEFISH; spatial transcriptomics; single-molecule imaging; image-based CRISPR screen; liver zonation</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 156: RAEFISH: Sequencing-free whole-genome spatial transcriptomics at single-molecule resolution
In this episode of PaperCast Base by Base, we explore RAEFISH, a reverse-padlock amplicon-encoding FISH method that delivers whole-transcriptome imaging at single-molecule resolution without sequencing. The study demonstrates genome-scale coverage across cells and intact tissues and extends to direct readout of CRISPR guide RNAs, enabling high-content functional screens with spatial context.
Study Highlights:RAEFISH introduces a “reversed” padlock design with splint-assisted ligation, rolling-circle amplification, and MERFISH-style sequential readouts to barcode >20,000 transcripts while remaining compatible with cost-efficient oligo pool amplification. In A549 cells, the authors report an average of 3,749 decoded RNA molecules per cell from about 1,287 genes, with expression levels correlating with bulk RNA-seq and strong replicate reproducibility. The method generalizes to mouse tissues, mapping cell-type architectures and zonation programs in liver, placenta, and lymph node at single-molecule resolution. Finally, the Perturb-RAEFISH extension directly decodes gRNA spacer sequences in pooled CRISPR screens, detecting dozens of gRNA copies per cell and linking perturbations to spatial phenotypes without separate barcodes.
Conclusion:RAEFISH expands spatial transcriptomics to genome-wide, single-molecule imaging and unlocks direct, image-based CRISPR perturbation readouts, setting the stage for unbiased discovery of spatial gene programs in development, physiology, and disease.
Reference:Cheng Y, Dang S, Zhang Y, Chen Y, Yu R, Liu M, Jin S, Han A, Katz S, Wang S (2025). Sequencing-free whole-genome spatial transcriptomics at single-molecule resolution. Cell 188:1–18. https://doi.org/10.1016/j.cell.2025.09.006
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Episode Slug: raefish-sequencing-free-whole-genome-spatial-transcriptomics
Keywords: RAEFISH; spatial transcriptomics; single-molecule imaging; image-based CRISPR screen; liver zonation]]>
                </itunes:subtitle>
                                <itunes:title>
                    <![CDATA[156: RAEFISH: Sequencing-free whole-genome spatial transcriptomics at single-molecule resolution]]>
                </itunes:title>
                                    <itunes:episode>156</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 156: RAEFISH: Sequencing-free whole-genome spatial transcriptomics at single-molecule resolution</p>
<p>In this episode of PaperCast Base by Base, we explore RAEFISH, a reverse-padlock amplicon-encoding FISH method that delivers whole-transcriptome imaging at single-molecule resolution without sequencing. The study demonstrates genome-scale coverage across cells and intact tissues and extends to direct readout of CRISPR guide RNAs, enabling high-content functional screens with spatial context.</p>
<p>Study Highlights:<br />RAEFISH introduces a “reversed” padlock design with splint-assisted ligation, rolling-circle amplification, and MERFISH-style sequential readouts to barcode &gt;20,000 transcripts while remaining compatible with cost-efficient oligo pool amplification. In A549 cells, the authors report an average of 3,749 decoded RNA molecules per cell from about 1,287 genes, with expression levels correlating with bulk RNA-seq and strong replicate reproducibility. The method generalizes to mouse tissues, mapping cell-type architectures and zonation programs in liver, placenta, and lymph node at single-molecule resolution. Finally, the Perturb-RAEFISH extension directly decodes gRNA spacer sequences in pooled CRISPR screens, detecting dozens of gRNA copies per cell and linking perturbations to spatial phenotypes without separate barcodes.</p>
<p>Conclusion:<br />RAEFISH expands spatial transcriptomics to genome-wide, single-molecule imaging and unlocks direct, image-based CRISPR perturbation readouts, setting the stage for unbiased discovery of spatial gene programs in development, physiology, and disease.</p>
<p>Reference:<br />Cheng Y, Dang S, Zhang Y, Chen Y, Yu R, Liu M, Jin S, Han A, Katz S, Wang S (2025). Sequencing-free whole-genome spatial transcriptomics at single-molecule resolution. Cell 188:1–18. <a title="https://doi.org/10.1016/j.cell.2025.09.006" href="https://doi.org/10.1016/j.cell.2025.09.006" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.09.006</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Episode Slug: raefish-sequencing-free-whole-genome-spatial-transcriptomics</p>
<p>Keywords: RAEFISH; spatial transcriptomics; single-molecule imaging; image-based CRISPR screen; liver zonation</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 156: RAEFISH: Sequencing-free whole-genome spatial transcriptomics at single-molecule resolution
In this episode of PaperCast Base by Base, we explore RAEFISH, a reverse-padlock amplicon-encoding FISH method that delivers whole-transcriptome imaging at single-molecule resolution without sequencing. The study demonstrates genome-scale coverage across cells and intact tissues and extends to direct readout of CRISPR guide RNAs, enabling high-content functional screens with spatial context.
Study Highlights:RAEFISH introduces a “reversed” padlock design with splint-assisted ligation, rolling-circle amplification, and MERFISH-style sequential readouts to barcode >20,000 transcripts while remaining compatible with cost-efficient oligo pool amplification. In A549 cells, the authors report an average of 3,749 decoded RNA molecules per cell from about 1,287 genes, with expression levels correlating with bulk RNA-seq and strong replicate reproducibility. The method generalizes to mouse tissues, mapping cell-type architectures and zonation programs in liver, placenta, and lymph node at single-molecule resolution. Finally, the Perturb-RAEFISH extension directly decodes gRNA spacer sequences in pooled CRISPR screens, detecting dozens of gRNA copies per cell and linking perturbations to spatial phenotypes without separate barcodes.
Conclusion:RAEFISH expands spatial transcriptomics to genome-wide, single-molecule imaging and unlocks direct, image-based CRISPR perturbation readouts, setting the stage for unbiased discovery of spatial gene programs in development, physiology, and disease.
Reference:Cheng Y, Dang S, Zhang Y, Chen Y, Yu R, Liu M, Jin S, Han A, Katz S, Wang S (2025). Sequencing-free whole-genome spatial transcriptomics at single-molecule resolution. Cell 188:1–18. https://doi.org/10.1016/j.cell.2025.09.006
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Episode Slug: raefish-sequencing-free-whole-genome-spatial-transcriptomics
Keywords: RAEFISH; spatial transcriptomics; single-molecule imaging; image-based CRISPR screen; liver zonation]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2158101/c1a-p6xp7-okz7o150sx5-7yzdp9.png"></itunes:image>
                                                                            <itunes:duration>00:17:07</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[155: EIF3A/EIF3B Loss-of-Function: A Cardiocraniofacial Neurodevelopmental Syndrome]]>
                </title>
                <pubDate>Thu, 02 Oct 2025 08:36:25 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2154983</guid>
                                    <link>https://basebybase.castos.com/episodes/eif3a-eif3b-loss-of-function-cardiocraniofacial-syndrome-ajhg-2</link>
                                <description>
                                            <![CDATA[<p>️ Episode 155: EIF3A/EIF3B Loss-of-Function: A Cardiocraniofacial Neurodevelopmental Syndrome</p>
<p> In this episode of PaperCast Base by Base, we explore how loss-of-function variants in EIF3A and EIF3B—core components of the eIF3 translation initiation complex—cause a multisystem disorder marked by congenital heart defects, craniofacial differences, and mild neurodevelopmental features. The study brings clinical genetics together with functional zebrafish models to establish gene–disease validity and illuminate developmental mechanisms.</p>
<p> Study Highlights:<br />An international cohort of eighteen individuals was assembled with de novo or loss-of-function variants in EIF3A (n=4) or EIF3B (n=14), revealing a consistent phenotype spectrum that prominently includes congenital heart defects—most notably tetralogy of Fallot—alongside craniofacial dysmorphisms and variable neurodevelopmental findings. Genomic analyses showed that both genes are highly constrained against loss of function, and a subset of cases involved a 7p22.3 microdeletion implicating EIF3B within the minimal critical region for cardiac anomalies. To test causality, the authors generated CRISPR-Cas9 zebrafish mutants in the orthologs eif3s10 (EIF3A) and eif3ba (EIF3B), which developed thin, poorly looped heart tubes, absent craniofacial cartilage, microphthalmia/coloboma, growth delay, and early lethality. Cardiac videomicroscopy demonstrated bradycardia, arrhythmia, and impaired chamber function, reinforcing a primary developmental defect rather than secondary edema. Integrated human and animal data support an autosomal-dominant eIF3-related syndrome driven largely by haploinsufficiency.</p>
<p> Conclusion:<br />EIF3A and EIF3B should be considered in genetic testing panels for syndromic congenital heart disease and neurocristopathies, with functional data indicating that dosage-sensitive disruption of the eIF3 complex perturbs early cardiocraniofacial development.</p>
<p> Reference:<br />Erkut E, Somerville C, Schwartz MLB, McDonald L, Ding Q, Moran OM, Chen X, Manshaei R, Riedijk A-S, Schnürer M-T, Koboldt DC, Antonarakis SE, Bedoukian EC, Blanc X, Conlin LK, Cox H, Diderich KEM, Dingmann B, Dubourg C, Elmslie F, Escobar LF, Gosselin R, Guillen Sacoto MJ, Haag CD, Herzig L, Jeeneea R, Kenia P, Kolokotronis K, Kopps AM, Kupper C, Lees H, Leonard J, Levy J, Littlejohn R, Mayer D, McLean SD, Pattani N, Perrin L, Pingault V, Quelin C, Ranza E, Rauch A, Reichert SL, Rosmaninho-Salgado J, Skraban C, Sousa S, Stuebben M, Zanoni P, Kim RH, Scott IC, Jobling RK. A cardiovascular, craniofacial, and neurodevelopmental disorder caused by loss-of-function variants in the eIF3 complex component genes EIF3A and EIF3B. The American Journal of Human Genetics. 2025;112:1–18. <a title="https://doi.org/10.1016/j.ajhg.2025.09.008" href="https://doi.org/10.1016/j.ajhg.2025.09.008" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ajhg.2025.09.008</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 155: EIF3A/EIF3B Loss-of-Function: A Cardiocraniofacial Neurodevelopmental Syndrome
 In this episode of PaperCast Base by Base, we explore how loss-of-function variants in EIF3A and EIF3B—core components of the eIF3 translation initiation complex—cause a multisystem disorder marked by congenital heart defects, craniofacial differences, and mild neurodevelopmental features. The study brings clinical genetics together with functional zebrafish models to establish gene–disease validity and illuminate developmental mechanisms.
 Study Highlights:An international cohort of eighteen individuals was assembled with de novo or loss-of-function variants in EIF3A (n=4) or EIF3B (n=14), revealing a consistent phenotype spectrum that prominently includes congenital heart defects—most notably tetralogy of Fallot—alongside craniofacial dysmorphisms and variable neurodevelopmental findings. Genomic analyses showed that both genes are highly constrained against loss of function, and a subset of cases involved a 7p22.3 microdeletion implicating EIF3B within the minimal critical region for cardiac anomalies. To test causality, the authors generated CRISPR-Cas9 zebrafish mutants in the orthologs eif3s10 (EIF3A) and eif3ba (EIF3B), which developed thin, poorly looped heart tubes, absent craniofacial cartilage, microphthalmia/coloboma, growth delay, and early lethality. Cardiac videomicroscopy demonstrated bradycardia, arrhythmia, and impaired chamber function, reinforcing a primary developmental defect rather than secondary edema. Integrated human and animal data support an autosomal-dominant eIF3-related syndrome driven largely by haploinsufficiency.
 Conclusion:EIF3A and EIF3B should be considered in genetic testing panels for syndromic congenital heart disease and neurocristopathies, with functional data indicating that dosage-sensitive disruption of the eIF3 complex perturbs early cardiocraniofacial development.
 Reference:Erkut E, Somerville C, Schwartz MLB, McDonald L, Ding Q, Moran OM, Chen X, Manshaei R, Riedijk A-S, Schnürer M-T, Koboldt DC, Antonarakis SE, Bedoukian EC, Blanc X, Conlin LK, Cox H, Diderich KEM, Dingmann B, Dubourg C, Elmslie F, Escobar LF, Gosselin R, Guillen Sacoto MJ, Haag CD, Herzig L, Jeeneea R, Kenia P, Kolokotronis K, Kopps AM, Kupper C, Lees H, Leonard J, Levy J, Littlejohn R, Mayer D, McLean SD, Pattani N, Perrin L, Pingault V, Quelin C, Ranza E, Rauch A, Reichert SL, Rosmaninho-Salgado J, Skraban C, Sousa S, Stuebben M, Zanoni P, Kim RH, Scott IC, Jobling RK. A cardiovascular, craniofacial, and neurodevelopmental disorder caused by loss-of-function variants in the eIF3 complex component genes EIF3A and EIF3B. The American Journal of Human Genetics. 2025;112:1–18. https://doi.org/10.1016/j.ajhg.2025.09.008
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[155: EIF3A/EIF3B Loss-of-Function: A Cardiocraniofacial Neurodevelopmental Syndrome]]>
                </itunes:title>
                                    <itunes:episode>155</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 155: EIF3A/EIF3B Loss-of-Function: A Cardiocraniofacial Neurodevelopmental Syndrome</p>
<p> In this episode of PaperCast Base by Base, we explore how loss-of-function variants in EIF3A and EIF3B—core components of the eIF3 translation initiation complex—cause a multisystem disorder marked by congenital heart defects, craniofacial differences, and mild neurodevelopmental features. The study brings clinical genetics together with functional zebrafish models to establish gene–disease validity and illuminate developmental mechanisms.</p>
<p> Study Highlights:<br />An international cohort of eighteen individuals was assembled with de novo or loss-of-function variants in EIF3A (n=4) or EIF3B (n=14), revealing a consistent phenotype spectrum that prominently includes congenital heart defects—most notably tetralogy of Fallot—alongside craniofacial dysmorphisms and variable neurodevelopmental findings. Genomic analyses showed that both genes are highly constrained against loss of function, and a subset of cases involved a 7p22.3 microdeletion implicating EIF3B within the minimal critical region for cardiac anomalies. To test causality, the authors generated CRISPR-Cas9 zebrafish mutants in the orthologs eif3s10 (EIF3A) and eif3ba (EIF3B), which developed thin, poorly looped heart tubes, absent craniofacial cartilage, microphthalmia/coloboma, growth delay, and early lethality. Cardiac videomicroscopy demonstrated bradycardia, arrhythmia, and impaired chamber function, reinforcing a primary developmental defect rather than secondary edema. Integrated human and animal data support an autosomal-dominant eIF3-related syndrome driven largely by haploinsufficiency.</p>
<p> Conclusion:<br />EIF3A and EIF3B should be considered in genetic testing panels for syndromic congenital heart disease and neurocristopathies, with functional data indicating that dosage-sensitive disruption of the eIF3 complex perturbs early cardiocraniofacial development.</p>
<p> Reference:<br />Erkut E, Somerville C, Schwartz MLB, McDonald L, Ding Q, Moran OM, Chen X, Manshaei R, Riedijk A-S, Schnürer M-T, Koboldt DC, Antonarakis SE, Bedoukian EC, Blanc X, Conlin LK, Cox H, Diderich KEM, Dingmann B, Dubourg C, Elmslie F, Escobar LF, Gosselin R, Guillen Sacoto MJ, Haag CD, Herzig L, Jeeneea R, Kenia P, Kolokotronis K, Kopps AM, Kupper C, Lees H, Leonard J, Levy J, Littlejohn R, Mayer D, McLean SD, Pattani N, Perrin L, Pingault V, Quelin C, Ranza E, Rauch A, Reichert SL, Rosmaninho-Salgado J, Skraban C, Sousa S, Stuebben M, Zanoni P, Kim RH, Scott IC, Jobling RK. A cardiovascular, craniofacial, and neurodevelopmental disorder caused by loss-of-function variants in the eIF3 complex component genes EIF3A and EIF3B. The American Journal of Human Genetics. 2025;112:1–18. <a title="https://doi.org/10.1016/j.ajhg.2025.09.008" href="https://doi.org/10.1016/j.ajhg.2025.09.008" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ajhg.2025.09.008</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 155: EIF3A/EIF3B Loss-of-Function: A Cardiocraniofacial Neurodevelopmental Syndrome
 In this episode of PaperCast Base by Base, we explore how loss-of-function variants in EIF3A and EIF3B—core components of the eIF3 translation initiation complex—cause a multisystem disorder marked by congenital heart defects, craniofacial differences, and mild neurodevelopmental features. The study brings clinical genetics together with functional zebrafish models to establish gene–disease validity and illuminate developmental mechanisms.
 Study Highlights:An international cohort of eighteen individuals was assembled with de novo or loss-of-function variants in EIF3A (n=4) or EIF3B (n=14), revealing a consistent phenotype spectrum that prominently includes congenital heart defects—most notably tetralogy of Fallot—alongside craniofacial dysmorphisms and variable neurodevelopmental findings. Genomic analyses showed that both genes are highly constrained against loss of function, and a subset of cases involved a 7p22.3 microdeletion implicating EIF3B within the minimal critical region for cardiac anomalies. To test causality, the authors generated CRISPR-Cas9 zebrafish mutants in the orthologs eif3s10 (EIF3A) and eif3ba (EIF3B), which developed thin, poorly looped heart tubes, absent craniofacial cartilage, microphthalmia/coloboma, growth delay, and early lethality. Cardiac videomicroscopy demonstrated bradycardia, arrhythmia, and impaired chamber function, reinforcing a primary developmental defect rather than secondary edema. Integrated human and animal data support an autosomal-dominant eIF3-related syndrome driven largely by haploinsufficiency.
 Conclusion:EIF3A and EIF3B should be considered in genetic testing panels for syndromic congenital heart disease and neurocristopathies, with functional data indicating that dosage-sensitive disruption of the eIF3 complex perturbs early cardiocraniofacial development.
 Reference:Erkut E, Somerville C, Schwartz MLB, McDonald L, Ding Q, Moran OM, Chen X, Manshaei R, Riedijk A-S, Schnürer M-T, Koboldt DC, Antonarakis SE, Bedoukian EC, Blanc X, Conlin LK, Cox H, Diderich KEM, Dingmann B, Dubourg C, Elmslie F, Escobar LF, Gosselin R, Guillen Sacoto MJ, Haag CD, Herzig L, Jeeneea R, Kenia P, Kolokotronis K, Kopps AM, Kupper C, Lees H, Leonard J, Levy J, Littlejohn R, Mayer D, McLean SD, Pattani N, Perrin L, Pingault V, Quelin C, Ranza E, Rauch A, Reichert SL, Rosmaninho-Salgado J, Skraban C, Sousa S, Stuebben M, Zanoni P, Kim RH, Scott IC, Jobling RK. A cardiovascular, craniofacial, and neurodevelopmental disorder caused by loss-of-function variants in the eIF3 complex component genes EIF3A and EIF3B. The American Journal of Human Genetics. 2025;112:1–18. https://doi.org/10.1016/j.ajhg.2025.09.008
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2154983/c1a-p6xp7-qdonjrr3sp7w-hiltsu.png"></itunes:image>
                                                                            <itunes:duration>00:15:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[154: Multiple-testing corrections in selection scans using identity-by-descent segments]]>
                </title>
                <pubDate>Wed, 01 Oct 2025 08:25:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2154978</guid>
                                    <link>https://basebybase.castos.com/episodes/multiple-testing-corrections-ibd-selection-scans</link>
                                <description>
                                            <![CDATA[<p>️ Episode 154: Multiple-testing corrections in selection scans using identity-by-descent segments</p>
<p> In this episode of PaperCast Base by Base, we explore how Temple and Browning develop principled genome-wide significance thresholds for IBD-based scans of recent positive selection by explicitly modeling correlation along the genome.</p>
<p> Study Highlights:<br />The authors model standardized IBD-rate scan statistics as an Ornstein–Uhlenbeck process and derive both an analytical threshold and a fast simulation-based alternative that control the family-wise error rate while adapting to genetic-map spacing and autocorrelation. In extensive coalescent simulations, the approach achieves approximate FWER control and shows that Bonferroni can be overly conservative or dependent on arbitrary test spacing, whereas OU-based thresholds better reflect the effective number of tests. Power analyses indicate more than 50% power for hard sweeps with selection coefficients around or above 0.01 when the sweeping allele is at intermediate present-day frequency, and negligible power for weaker or nearly fixed sweeps. Applying the framework to TOPMed and UK Biobank cohorts, they identify a limited set of genome-wide significant loci across ancestry groups and show that some large cross-ancestry signals concentrate near structural-variant–rich regions rather than reflecting recent adaptation.</p>
<p> Conclusion:<br />OU-based multiple-testing corrections make IBD selection scans more reliable by calibrating significance to genomic correlation, improving reproducibility and reducing false positives in large biobank-scale analyses.</p>
<p> Reference:<br />Temple SD, Browning SR (2025). Multiple-testing corrections in selection scans using identity-by-descent segments. The American Journal of Human Genetics 112:1–21. https://doi.org/10.1016/j.ajhg.2025.09.004</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 154: Multiple-testing corrections in selection scans using identity-by-descent segments
 In this episode of PaperCast Base by Base, we explore how Temple and Browning develop principled genome-wide significance thresholds for IBD-based scans of recent positive selection by explicitly modeling correlation along the genome.
 Study Highlights:The authors model standardized IBD-rate scan statistics as an Ornstein–Uhlenbeck process and derive both an analytical threshold and a fast simulation-based alternative that control the family-wise error rate while adapting to genetic-map spacing and autocorrelation. In extensive coalescent simulations, the approach achieves approximate FWER control and shows that Bonferroni can be overly conservative or dependent on arbitrary test spacing, whereas OU-based thresholds better reflect the effective number of tests. Power analyses indicate more than 50% power for hard sweeps with selection coefficients around or above 0.01 when the sweeping allele is at intermediate present-day frequency, and negligible power for weaker or nearly fixed sweeps. Applying the framework to TOPMed and UK Biobank cohorts, they identify a limited set of genome-wide significant loci across ancestry groups and show that some large cross-ancestry signals concentrate near structural-variant–rich regions rather than reflecting recent adaptation.
 Conclusion:OU-based multiple-testing corrections make IBD selection scans more reliable by calibrating significance to genomic correlation, improving reproducibility and reducing false positives in large biobank-scale analyses.
 Reference:Temple SD, Browning SR (2025). Multiple-testing corrections in selection scans using identity-by-descent segments. The American Journal of Human Genetics 112:1–21. https://doi.org/10.1016/j.ajhg.2025.09.004
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[154: Multiple-testing corrections in selection scans using identity-by-descent segments]]>
                </itunes:title>
                                    <itunes:episode>154</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                <content:encoded>
                    <![CDATA[<p>️ Episode 154: Multiple-testing corrections in selection scans using identity-by-descent segments</p>
<p> In this episode of PaperCast Base by Base, we explore how Temple and Browning develop principled genome-wide significance thresholds for IBD-based scans of recent positive selection by explicitly modeling correlation along the genome.</p>
<p> Study Highlights:<br />The authors model standardized IBD-rate scan statistics as an Ornstein–Uhlenbeck process and derive both an analytical threshold and a fast simulation-based alternative that control the family-wise error rate while adapting to genetic-map spacing and autocorrelation. In extensive coalescent simulations, the approach achieves approximate FWER control and shows that Bonferroni can be overly conservative or dependent on arbitrary test spacing, whereas OU-based thresholds better reflect the effective number of tests. Power analyses indicate more than 50% power for hard sweeps with selection coefficients around or above 0.01 when the sweeping allele is at intermediate present-day frequency, and negligible power for weaker or nearly fixed sweeps. Applying the framework to TOPMed and UK Biobank cohorts, they identify a limited set of genome-wide significant loci across ancestry groups and show that some large cross-ancestry signals concentrate near structural-variant–rich regions rather than reflecting recent adaptation.</p>
<p> Conclusion:<br />OU-based multiple-testing corrections make IBD selection scans more reliable by calibrating significance to genomic correlation, improving reproducibility and reducing false positives in large biobank-scale analyses.</p>
<p> Reference:<br />Temple SD, Browning SR (2025). Multiple-testing corrections in selection scans using identity-by-descent segments. The American Journal of Human Genetics 112:1–21. https://doi.org/10.1016/j.ajhg.2025.09.004</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 154: Multiple-testing corrections in selection scans using identity-by-descent segments
 In this episode of PaperCast Base by Base, we explore how Temple and Browning develop principled genome-wide significance thresholds for IBD-based scans of recent positive selection by explicitly modeling correlation along the genome.
 Study Highlights:The authors model standardized IBD-rate scan statistics as an Ornstein–Uhlenbeck process and derive both an analytical threshold and a fast simulation-based alternative that control the family-wise error rate while adapting to genetic-map spacing and autocorrelation. In extensive coalescent simulations, the approach achieves approximate FWER control and shows that Bonferroni can be overly conservative or dependent on arbitrary test spacing, whereas OU-based thresholds better reflect the effective number of tests. Power analyses indicate more than 50% power for hard sweeps with selection coefficients around or above 0.01 when the sweeping allele is at intermediate present-day frequency, and negligible power for weaker or nearly fixed sweeps. Applying the framework to TOPMed and UK Biobank cohorts, they identify a limited set of genome-wide significant loci across ancestry groups and show that some large cross-ancestry signals concentrate near structural-variant–rich regions rather than reflecting recent adaptation.
 Conclusion:OU-based multiple-testing corrections make IBD selection scans more reliable by calibrating significance to genomic correlation, improving reproducibility and reducing false positives in large biobank-scale analyses.
 Reference:Temple SD, Browning SR (2025). Multiple-testing corrections in selection scans using identity-by-descent segments. The American Journal of Human Genetics 112:1–21. https://doi.org/10.1016/j.ajhg.2025.09.004
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2154978/c1a-p6xp7-8dq7775pbpgz-1cirla.png"></itunes:image>
                                                                            <itunes:duration>00:20:05</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[153: Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits]]>
                </title>
                <pubDate>Tue, 30 Sep 2025 09:24:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2154246</guid>
                                    <link>https://basebybase.castos.com/episodes/skeletal-muscle-eqtl-meta-analysis-implicates-genes-in-the-gene</link>
                                <description>
                                            <![CDATA[<p>️ Episode 153: Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits</p>
<p> In this episode of PaperCast Base by Base, we explore a large skeletal muscle eQTL meta-analysis that integrates GTEx and FUSION data to pinpoint regulatory variants and genes underlying muscular and cardiometabolic traits.</p>
<p> Study Highlights:<br />Combining RNA-seq and whole-genome data from 1,002 individuals across two cohorts, the authors identified 18,818 conditionally distinct eQTL signals affecting 12,283 genes, with 35% of genes harboring multiple signals. Colocalization with 26 GWAS datasets yielded 2,252 signal pairs and nominated 1,342 candidate genes, and strikingly 22% of the colocalizations involved non‑primary eQTL signals while many mapped far from the nearest transcription start site. A focused multi‑tissue analysis for type 2 diabetes linked 309 of 862 tested signals to 551 genes across skeletal muscle, adipose, liver, and islet, representing 36% of T2D signals and exceeding the yield of any single tissue. The study also functionally validated a T2D‑linked variant at the INHBB locus, where the risk allele increased enhancer activity and aligned with higher gene expression in both muscle and adipose models.</p>
<p> Conclusion:<br />This work delivers a well‑powered skeletal muscle eQTL resource and shows how multi‑signal, multi‑tissue integration clarifies the molecular mechanisms and candidate targets underlying cardiometabolic disease.</p>
<p> Reference:<br />Wilson EP, Broadaway KA, Parsons VA, Vadlamudi S, Narisu N, Brotman SM, Currin KW, Stringham HM, Erdos MR, Welch R, Holtzman JK, Lakka TA, Laakso M, Tuomilehto J, Boehnke M, Koistinen HA, Collins FS, Parker SCJ, Scott LJ, Mohlke KL. Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits. The American Journal of Human Genetics. 2025;112:1–15. https://doi.org/10.1016/j.ajhg.2025.09.003</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - Deep Dive into the genetic dark matter of diabetes</li><li>(00:03:15) - The muscle map of diabetes</li><li>(00:06:53) - EQTL and disease risk: combining the studies</li><li>(00:07:32) - The Near Gene Trap</li><li>(00:09:26) - What about those other dimmer switches you mentioned? The non primary</li><li>(00:10:05) - Exploring T2D in muscle, fat, and eye</li><li>(00:13:14) - Beyond the nearest gene heuristic</li><li>(00:13:54) - GWAS and the causal genetics of muscular dystrophy</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 153: Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits
 In this episode of PaperCast Base by Base, we explore a large skeletal muscle eQTL meta-analysis that integrates GTEx and FUSION data to pinpoint regulatory variants and genes underlying muscular and cardiometabolic traits.
 Study Highlights:Combining RNA-seq and whole-genome data from 1,002 individuals across two cohorts, the authors identified 18,818 conditionally distinct eQTL signals affecting 12,283 genes, with 35% of genes harboring multiple signals. Colocalization with 26 GWAS datasets yielded 2,252 signal pairs and nominated 1,342 candidate genes, and strikingly 22% of the colocalizations involved non‑primary eQTL signals while many mapped far from the nearest transcription start site. A focused multi‑tissue analysis for type 2 diabetes linked 309 of 862 tested signals to 551 genes across skeletal muscle, adipose, liver, and islet, representing 36% of T2D signals and exceeding the yield of any single tissue. The study also functionally validated a T2D‑linked variant at the INHBB locus, where the risk allele increased enhancer activity and aligned with higher gene expression in both muscle and adipose models.
 Conclusion:This work delivers a well‑powered skeletal muscle eQTL resource and shows how multi‑signal, multi‑tissue integration clarifies the molecular mechanisms and candidate targets underlying cardiometabolic disease.
 Reference:Wilson EP, Broadaway KA, Parsons VA, Vadlamudi S, Narisu N, Brotman SM, Currin KW, Stringham HM, Erdos MR, Welch R, Holtzman JK, Lakka TA, Laakso M, Tuomilehto J, Boehnke M, Koistinen HA, Collins FS, Parker SCJ, Scott LJ, Mohlke KL. Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits. The American Journal of Human Genetics. 2025;112:1–15. https://doi.org/10.1016/j.ajhg.2025.09.003
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[153: Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits]]>
                </itunes:title>
                                    <itunes:episode>153</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                <content:encoded>
                    <![CDATA[<p>️ Episode 153: Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits</p>
<p> In this episode of PaperCast Base by Base, we explore a large skeletal muscle eQTL meta-analysis that integrates GTEx and FUSION data to pinpoint regulatory variants and genes underlying muscular and cardiometabolic traits.</p>
<p> Study Highlights:<br />Combining RNA-seq and whole-genome data from 1,002 individuals across two cohorts, the authors identified 18,818 conditionally distinct eQTL signals affecting 12,283 genes, with 35% of genes harboring multiple signals. Colocalization with 26 GWAS datasets yielded 2,252 signal pairs and nominated 1,342 candidate genes, and strikingly 22% of the colocalizations involved non‑primary eQTL signals while many mapped far from the nearest transcription start site. A focused multi‑tissue analysis for type 2 diabetes linked 309 of 862 tested signals to 551 genes across skeletal muscle, adipose, liver, and islet, representing 36% of T2D signals and exceeding the yield of any single tissue. The study also functionally validated a T2D‑linked variant at the INHBB locus, where the risk allele increased enhancer activity and aligned with higher gene expression in both muscle and adipose models.</p>
<p> Conclusion:<br />This work delivers a well‑powered skeletal muscle eQTL resource and shows how multi‑signal, multi‑tissue integration clarifies the molecular mechanisms and candidate targets underlying cardiometabolic disease.</p>
<p> Reference:<br />Wilson EP, Broadaway KA, Parsons VA, Vadlamudi S, Narisu N, Brotman SM, Currin KW, Stringham HM, Erdos MR, Welch R, Holtzman JK, Lakka TA, Laakso M, Tuomilehto J, Boehnke M, Koistinen HA, Collins FS, Parker SCJ, Scott LJ, Mohlke KL. Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits. The American Journal of Human Genetics. 2025;112:1–15. https://doi.org/10.1016/j.ajhg.2025.09.003</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
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                    <![CDATA[️ Episode 153: Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits
 In this episode of PaperCast Base by Base, we explore a large skeletal muscle eQTL meta-analysis that integrates GTEx and FUSION data to pinpoint regulatory variants and genes underlying muscular and cardiometabolic traits.
 Study Highlights:Combining RNA-seq and whole-genome data from 1,002 individuals across two cohorts, the authors identified 18,818 conditionally distinct eQTL signals affecting 12,283 genes, with 35% of genes harboring multiple signals. Colocalization with 26 GWAS datasets yielded 2,252 signal pairs and nominated 1,342 candidate genes, and strikingly 22% of the colocalizations involved non‑primary eQTL signals while many mapped far from the nearest transcription start site. A focused multi‑tissue analysis for type 2 diabetes linked 309 of 862 tested signals to 551 genes across skeletal muscle, adipose, liver, and islet, representing 36% of T2D signals and exceeding the yield of any single tissue. The study also functionally validated a T2D‑linked variant at the INHBB locus, where the risk allele increased enhancer activity and aligned with higher gene expression in both muscle and adipose models.
 Conclusion:This work delivers a well‑powered skeletal muscle eQTL resource and shows how multi‑signal, multi‑tissue integration clarifies the molecular mechanisms and candidate targets underlying cardiometabolic disease.
 Reference:Wilson EP, Broadaway KA, Parsons VA, Vadlamudi S, Narisu N, Brotman SM, Currin KW, Stringham HM, Erdos MR, Welch R, Holtzman JK, Lakka TA, Laakso M, Tuomilehto J, Boehnke M, Koistinen HA, Collins FS, Parker SCJ, Scott LJ, Mohlke KL. Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits. The American Journal of Human Genetics. 2025;112:1–15. https://doi.org/10.1016/j.ajhg.2025.09.003
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2154246/c1a-p6xp7-xx4p1pz3tr7q-qd6iar.png"></itunes:image>
                                                                            <itunes:duration>00:15:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2154246/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[152: One-Well Multiplex ddPCR for Hereditary Alpha Tryptasemia]]>
                </title>
                <pubDate>Mon, 29 Sep 2025 09:13:04 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2152732</guid>
                                    <link>https://basebybase.castos.com/episodes/one-well-multiplex-ddpcr-for-hereditary-alpha-tryptasemia</link>
                                <description>
                                            <![CDATA[<p>️ Episode 152: One-Well Multiplex ddPCR for Hereditary Alpha Tryptasemia</p>
<p> In this episode of PaperCast Base by Base, we explore a validated single‑well multiplex digital droplet PCR (ddPCR) assay that reconstructs the TPSAB1 locus by quantifying α‑ and β‑tryptase copy numbers to diagnose hereditary alpha tryptasemia (HαT) in symptomatic patients.</p>
<p> Study Highlights:<br />The authors designed a triplex ddPCR assay that simultaneously measures α‑ and β‑tryptase copy numbers and an internal reference in one well, avoiding cross‑reactivity and excessive signal “rain” while achieving clear cluster separation and straightforward thresholds. In analytical validation across 281 cases, copy‑number calls tightly clustered around expected integers with an overall 99% prediction interval of 0.03 ± 0.27 copies and showed 100% concordance with a prior double‑well reference assay for all genotypes tested. In a clinical subcohort of 141 symptomatic patients without other causes of elevated tryptase, basal serum tryptase (BST) predicted HαT with an optimal cutoff of 9.2 ng/mL, yielding 98.1% sensitivity and 96.6% specificity. A strong gene–dose relationship was observed, with BST increasing by an average of 7.5 ng/mL for each additional α‑tryptase copy, and thresholds helped distinguish duplications from higher‑order α‑copy states.</p>
<p> Conclusion:<br />A simple, robust single‑well multiplex ddPCR enables accurate HαT genotyping and provides actionable BST thresholds to triage symptomatic patients for confirmatory testing.</p>
<p> Reference:<br />Alheraky A, Wierenga ATJ, Simpelaar A, Hesp LB, Minovic I, Bagheri N, Roozendaal C, Span LFR, Oude Elberink HNG, Kema IP, Mulder AB. Hereditary Alpha Tryptasemia: Validation of a Single‑Well Multiplex Digital Droplet PCR Assay in a Cohort of Symptomatic Patients. Clinical Chemistry. 2024;70(2):425–433. https://doi.org/10.1093/clinchem/hvad206</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p> Episode Slug: one-well-multiplex-ddpcr-for-hereditary-alpha-tryptasemia</p>
<p>Keywords: hereditary alpha tryptasemia; TPSAB1 copy number; digital droplet PCR; basal serum tryptase; diagnostic cutoff</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Hereditary erypticemia: Solving the genetic puzzle</li><li>(00:05:05) - Mastocytosis DNA test: Single Well Multiplex Digital</li><li>(00:09:18) - How did the new single well test perform?</li><li>(00:15:15) - Heidelberg Disease: The new test for hereditary alpha trypt</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 152: One-Well Multiplex ddPCR for Hereditary Alpha Tryptasemia
 In this episode of PaperCast Base by Base, we explore a validated single‑well multiplex digital droplet PCR (ddPCR) assay that reconstructs the TPSAB1 locus by quantifying α‑ and β‑tryptase copy numbers to diagnose hereditary alpha tryptasemia (HαT) in symptomatic patients.
 Study Highlights:The authors designed a triplex ddPCR assay that simultaneously measures α‑ and β‑tryptase copy numbers and an internal reference in one well, avoiding cross‑reactivity and excessive signal “rain” while achieving clear cluster separation and straightforward thresholds. In analytical validation across 281 cases, copy‑number calls tightly clustered around expected integers with an overall 99% prediction interval of 0.03 ± 0.27 copies and showed 100% concordance with a prior double‑well reference assay for all genotypes tested. In a clinical subcohort of 141 symptomatic patients without other causes of elevated tryptase, basal serum tryptase (BST) predicted HαT with an optimal cutoff of 9.2 ng/mL, yielding 98.1% sensitivity and 96.6% specificity. A strong gene–dose relationship was observed, with BST increasing by an average of 7.5 ng/mL for each additional α‑tryptase copy, and thresholds helped distinguish duplications from higher‑order α‑copy states.
 Conclusion:A simple, robust single‑well multiplex ddPCR enables accurate HαT genotyping and provides actionable BST thresholds to triage symptomatic patients for confirmatory testing.
 Reference:Alheraky A, Wierenga ATJ, Simpelaar A, Hesp LB, Minovic I, Bagheri N, Roozendaal C, Span LFR, Oude Elberink HNG, Kema IP, Mulder AB. Hereditary Alpha Tryptasemia: Validation of a Single‑Well Multiplex Digital Droplet PCR Assay in a Cohort of Symptomatic Patients. Clinical Chemistry. 2024;70(2):425–433. https://doi.org/10.1093/clinchem/hvad206
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Episode Slug: one-well-multiplex-ddpcr-for-hereditary-alpha-tryptasemia
Keywords: hereditary alpha tryptasemia; TPSAB1 copy number; digital droplet PCR; basal serum tryptase; diagnostic cutoff]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[152: One-Well Multiplex ddPCR for Hereditary Alpha Tryptasemia]]>
                </itunes:title>
                                    <itunes:episode>152</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 152: One-Well Multiplex ddPCR for Hereditary Alpha Tryptasemia</p>
<p> In this episode of PaperCast Base by Base, we explore a validated single‑well multiplex digital droplet PCR (ddPCR) assay that reconstructs the TPSAB1 locus by quantifying α‑ and β‑tryptase copy numbers to diagnose hereditary alpha tryptasemia (HαT) in symptomatic patients.</p>
<p> Study Highlights:<br />The authors designed a triplex ddPCR assay that simultaneously measures α‑ and β‑tryptase copy numbers and an internal reference in one well, avoiding cross‑reactivity and excessive signal “rain” while achieving clear cluster separation and straightforward thresholds. In analytical validation across 281 cases, copy‑number calls tightly clustered around expected integers with an overall 99% prediction interval of 0.03 ± 0.27 copies and showed 100% concordance with a prior double‑well reference assay for all genotypes tested. In a clinical subcohort of 141 symptomatic patients without other causes of elevated tryptase, basal serum tryptase (BST) predicted HαT with an optimal cutoff of 9.2 ng/mL, yielding 98.1% sensitivity and 96.6% specificity. A strong gene–dose relationship was observed, with BST increasing by an average of 7.5 ng/mL for each additional α‑tryptase copy, and thresholds helped distinguish duplications from higher‑order α‑copy states.</p>
<p> Conclusion:<br />A simple, robust single‑well multiplex ddPCR enables accurate HαT genotyping and provides actionable BST thresholds to triage symptomatic patients for confirmatory testing.</p>
<p> Reference:<br />Alheraky A, Wierenga ATJ, Simpelaar A, Hesp LB, Minovic I, Bagheri N, Roozendaal C, Span LFR, Oude Elberink HNG, Kema IP, Mulder AB. Hereditary Alpha Tryptasemia: Validation of a Single‑Well Multiplex Digital Droplet PCR Assay in a Cohort of Symptomatic Patients. Clinical Chemistry. 2024;70(2):425–433. https://doi.org/10.1093/clinchem/hvad206</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p> Episode Slug: one-well-multiplex-ddpcr-for-hereditary-alpha-tryptasemia</p>
<p>Keywords: hereditary alpha tryptasemia; TPSAB1 copy number; digital droplet PCR; basal serum tryptase; diagnostic cutoff</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 152: One-Well Multiplex ddPCR for Hereditary Alpha Tryptasemia
 In this episode of PaperCast Base by Base, we explore a validated single‑well multiplex digital droplet PCR (ddPCR) assay that reconstructs the TPSAB1 locus by quantifying α‑ and β‑tryptase copy numbers to diagnose hereditary alpha tryptasemia (HαT) in symptomatic patients.
 Study Highlights:The authors designed a triplex ddPCR assay that simultaneously measures α‑ and β‑tryptase copy numbers and an internal reference in one well, avoiding cross‑reactivity and excessive signal “rain” while achieving clear cluster separation and straightforward thresholds. In analytical validation across 281 cases, copy‑number calls tightly clustered around expected integers with an overall 99% prediction interval of 0.03 ± 0.27 copies and showed 100% concordance with a prior double‑well reference assay for all genotypes tested. In a clinical subcohort of 141 symptomatic patients without other causes of elevated tryptase, basal serum tryptase (BST) predicted HαT with an optimal cutoff of 9.2 ng/mL, yielding 98.1% sensitivity and 96.6% specificity. A strong gene–dose relationship was observed, with BST increasing by an average of 7.5 ng/mL for each additional α‑tryptase copy, and thresholds helped distinguish duplications from higher‑order α‑copy states.
 Conclusion:A simple, robust single‑well multiplex ddPCR enables accurate HαT genotyping and provides actionable BST thresholds to triage symptomatic patients for confirmatory testing.
 Reference:Alheraky A, Wierenga ATJ, Simpelaar A, Hesp LB, Minovic I, Bagheri N, Roozendaal C, Span LFR, Oude Elberink HNG, Kema IP, Mulder AB. Hereditary Alpha Tryptasemia: Validation of a Single‑Well Multiplex Digital Droplet PCR Assay in a Cohort of Symptomatic Patients. Clinical Chemistry. 2024;70(2):425–433. https://doi.org/10.1093/clinchem/hvad206
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Episode Slug: one-well-multiplex-ddpcr-for-hereditary-alpha-tryptasemia
Keywords: hereditary alpha tryptasemia; TPSAB1 copy number; digital droplet PCR; basal serum tryptase; diagnostic cutoff]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2152732/c1a-p6xp7-jp3w3p96tr9g-74ucm3.png"></itunes:image>
                                                                            <itunes:duration>00:16:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2152732/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[151: EQA of ctDNA Mutation Testing Across the COIN Consortium]]>
                </title>
                <pubDate>Sun, 28 Sep 2025 13:00:50 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2152253</guid>
                                    <link>https://basebybase.castos.com/episodes/eqa-ctdna-testing-coin-consortium</link>
                                <description>
                                            <![CDATA[<p>️ Episode 151: EQA of ctDNA Mutation Testing Across the COIN Consortium</p>
<p> In this episode of PaperCast Base by Base, we explore how 16 Dutch laboratories evaluated their real‑world workflows for circulating tumor DNA (ctDNA) mutation testing across BRAF, EGFR, and KRAS using a coordinated external quality assessment within the COIN consortium.</p>
<p> Study Highlights:<br />The team distributed six plasma samples—three commercial references with predefined variants and three patient‑derived diagnostic leukapheresis samples—to participating labs, asking them to run their routine preanalytical and analytical pipelines, including ddPCR, small PCR panels, and next‑generation sequencing. Performance was scored on protocol adherence, overall detection, and precise genotyping, revealing broad variability in plasma input, extraction methods, and elution volumes and showing that only 38% of labs achieved a performance score above 0.90. Although 81% reached a 100% overall detection rate for the variants they assayed, clinically actionable mutations such as EGFR p.(S752_I759del), EGFR p.(N771_H773dup), and KRAS p.(G12C) were frequently mis‑genotyped, largely reflecting assay design limits. NGS approaches generally enabled more accurate variant‑level calls but carried a higher risk of false positives, while single‑target assays demonstrated sensitivity yet lacked breadth to cover all guideline‑relevant loci.</p>
<p> Conclusion:<br />Harmonizing preanalytical handling and selecting assays with adequate breadth and specificity are essential to deliver reproducible, clinically actionable liquid biopsy results in routine practice.</p>
<p> Reference:<br />van der Leest P, Rozendal P, Hinrichs J, van Noesel CJM, Zwaenepoel K, et al. External Quality Assessment on Molecular Tumor Profiling with Circulating Tumor DNA‑Based Methodologies Routinely Used in Clinical Pathology within the COIN Consortium. Clinical Chemistry. 2024;70(5):759–767. <a title="https://doi.org/10.1093/clinchem/hvae014" href="https://doi.org/10.1093/clinchem/hvae014" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/clinchem/hvae014</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Chopping Through the DNA of Cancer</li><li>(00:03:18) - Commemorating the COIN Consortium</li><li>(00:03:56) - The challenge of standardization in cancer DNA testing</li><li>(00:07:56) - The EGFR Genotyping Study</li><li>(00:10:59) - Liquid DNA standardization</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 151: EQA of ctDNA Mutation Testing Across the COIN Consortium
 In this episode of PaperCast Base by Base, we explore how 16 Dutch laboratories evaluated their real‑world workflows for circulating tumor DNA (ctDNA) mutation testing across BRAF, EGFR, and KRAS using a coordinated external quality assessment within the COIN consortium.
 Study Highlights:The team distributed six plasma samples—three commercial references with predefined variants and three patient‑derived diagnostic leukapheresis samples—to participating labs, asking them to run their routine preanalytical and analytical pipelines, including ddPCR, small PCR panels, and next‑generation sequencing. Performance was scored on protocol adherence, overall detection, and precise genotyping, revealing broad variability in plasma input, extraction methods, and elution volumes and showing that only 38% of labs achieved a performance score above 0.90. Although 81% reached a 100% overall detection rate for the variants they assayed, clinically actionable mutations such as EGFR p.(S752_I759del), EGFR p.(N771_H773dup), and KRAS p.(G12C) were frequently mis‑genotyped, largely reflecting assay design limits. NGS approaches generally enabled more accurate variant‑level calls but carried a higher risk of false positives, while single‑target assays demonstrated sensitivity yet lacked breadth to cover all guideline‑relevant loci.
 Conclusion:Harmonizing preanalytical handling and selecting assays with adequate breadth and specificity are essential to deliver reproducible, clinically actionable liquid biopsy results in routine practice.
 Reference:van der Leest P, Rozendal P, Hinrichs J, van Noesel CJM, Zwaenepoel K, et al. External Quality Assessment on Molecular Tumor Profiling with Circulating Tumor DNA‑Based Methodologies Routinely Used in Clinical Pathology within the COIN Consortium. Clinical Chemistry. 2024;70(5):759–767. https://doi.org/10.1093/clinchem/hvae014
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[151: EQA of ctDNA Mutation Testing Across the COIN Consortium]]>
                </itunes:title>
                                    <itunes:episode>151</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 151: EQA of ctDNA Mutation Testing Across the COIN Consortium</p>
<p> In this episode of PaperCast Base by Base, we explore how 16 Dutch laboratories evaluated their real‑world workflows for circulating tumor DNA (ctDNA) mutation testing across BRAF, EGFR, and KRAS using a coordinated external quality assessment within the COIN consortium.</p>
<p> Study Highlights:<br />The team distributed six plasma samples—three commercial references with predefined variants and three patient‑derived diagnostic leukapheresis samples—to participating labs, asking them to run their routine preanalytical and analytical pipelines, including ddPCR, small PCR panels, and next‑generation sequencing. Performance was scored on protocol adherence, overall detection, and precise genotyping, revealing broad variability in plasma input, extraction methods, and elution volumes and showing that only 38% of labs achieved a performance score above 0.90. Although 81% reached a 100% overall detection rate for the variants they assayed, clinically actionable mutations such as EGFR p.(S752_I759del), EGFR p.(N771_H773dup), and KRAS p.(G12C) were frequently mis‑genotyped, largely reflecting assay design limits. NGS approaches generally enabled more accurate variant‑level calls but carried a higher risk of false positives, while single‑target assays demonstrated sensitivity yet lacked breadth to cover all guideline‑relevant loci.</p>
<p> Conclusion:<br />Harmonizing preanalytical handling and selecting assays with adequate breadth and specificity are essential to deliver reproducible, clinically actionable liquid biopsy results in routine practice.</p>
<p> Reference:<br />van der Leest P, Rozendal P, Hinrichs J, van Noesel CJM, Zwaenepoel K, et al. External Quality Assessment on Molecular Tumor Profiling with Circulating Tumor DNA‑Based Methodologies Routinely Used in Clinical Pathology within the COIN Consortium. Clinical Chemistry. 2024;70(5):759–767. <a title="https://doi.org/10.1093/clinchem/hvae014" href="https://doi.org/10.1093/clinchem/hvae014" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/clinchem/hvae014</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[️ Episode 151: EQA of ctDNA Mutation Testing Across the COIN Consortium
 In this episode of PaperCast Base by Base, we explore how 16 Dutch laboratories evaluated their real‑world workflows for circulating tumor DNA (ctDNA) mutation testing across BRAF, EGFR, and KRAS using a coordinated external quality assessment within the COIN consortium.
 Study Highlights:The team distributed six plasma samples—three commercial references with predefined variants and three patient‑derived diagnostic leukapheresis samples—to participating labs, asking them to run their routine preanalytical and analytical pipelines, including ddPCR, small PCR panels, and next‑generation sequencing. Performance was scored on protocol adherence, overall detection, and precise genotyping, revealing broad variability in plasma input, extraction methods, and elution volumes and showing that only 38% of labs achieved a performance score above 0.90. Although 81% reached a 100% overall detection rate for the variants they assayed, clinically actionable mutations such as EGFR p.(S752_I759del), EGFR p.(N771_H773dup), and KRAS p.(G12C) were frequently mis‑genotyped, largely reflecting assay design limits. NGS approaches generally enabled more accurate variant‑level calls but carried a higher risk of false positives, while single‑target assays demonstrated sensitivity yet lacked breadth to cover all guideline‑relevant loci.
 Conclusion:Harmonizing preanalytical handling and selecting assays with adequate breadth and specificity are essential to deliver reproducible, clinically actionable liquid biopsy results in routine practice.
 Reference:van der Leest P, Rozendal P, Hinrichs J, van Noesel CJM, Zwaenepoel K, et al. External Quality Assessment on Molecular Tumor Profiling with Circulating Tumor DNA‑Based Methodologies Routinely Used in Clinical Pathology within the COIN Consortium. Clinical Chemistry. 2024;70(5):759–767. https://doi.org/10.1093/clinchem/hvae014
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2152253/c1a-p6xp7-47x2vkppho49-a6ypmq.png"></itunes:image>
                                                                            <itunes:duration>00:16:21</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2152253/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[150: Patrilineal segmentary systems and the post‑Neolithic Y‑chromosome bottleneck]]>
                </title>
                <pubDate>Sat, 27 Sep 2025 12:58:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2152252</guid>
                                    <link>https://basebybase.castos.com/episodes/patrilineal-segmentary-systems-y-chromosome-bottleneck</link>
                                <description>
                                            <![CDATA[<p>️ Episode 150: Patrilineal segmentary systems and the post‑Neolithic Y‑chromosome bottleneck</p>
<p> In this episode of PaperCast Base by Base, we explore a Nature Communications study that proposes a peaceful, socio‑cultural explanation for the sharp decline in male effective population size observed 3,000–5,000 years ago. Instead of widespread violence, the authors show that the dynamics of patrilineal segmentary systems—where lineages split and reproductive success varies between descent groups—can alone generate the Y‑chromosome bottleneck while female lineages continue to expand.</p>
<p> Study Highlights:<br />The team builds forward‑time simulations of villages structured by patrilocal residence and patrilineal descent, calibrating Y‑chromosome and mtDNA mutation rates and tracking effective population sizes over 100+ generations. They compare scenarios with random versus lineal fission of descent groups and incorporate empirically grounded variance in reproductive success between groups, with and without modeled violence. Lineal fission combined with inter‑group variance in reproductive success consistently produces a strong reduction in male effective population size, whereas violence alone or random fission has a much weaker effect. Bayesian skyline plots from simulated data reproduce a male‑specific bottleneck alongside continued growth of female effective size, and the timing aligns with post‑Neolithic shifts as agro‑pastoralism and patrilineal inheritance spread. Sensitivity analyses show the bottleneck strengthens as variance in reproductive success increases, while female‑to‑male Ne ratios can reach values comparable to those inferred from real data.</p>
<p> Conclusion:<br />A shift toward patrilineal, segmentary social organization with lineal fission and unequal reproductive success between descent groups may be sufficient to explain the post‑Neolithic Y‑chromosome bottleneck without invoking pervasive warfare.</p>
<p> Reference:<br />Guyon L, Guez J, Toupance B, Heyer E, Chaix R. Patrilineal segmentary systems provide a peaceful explanation for the post‑Neolithic Y‑chromosome bottleneck. Nature Communications. 2024;15:3243. <a title="https://doi.org/10.1038/s41467-024-47618-5" href="https://doi.org/10.1038/s41467-024-47618-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-024-47618-5</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Why Human Genetics Hold the Secret to Mass Violence</li><li>(00:05:29) - Social Inequality and Genetic Inequality</li><li>(00:07:08) - The Social Structure and Lineal Fission</li><li>(00:13:42) - Social structure explained the bottleneck in DNA diversity</li><li>(00:15:52) - How social organization shaped the human genome</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 150: Patrilineal segmentary systems and the post‑Neolithic Y‑chromosome bottleneck
 In this episode of PaperCast Base by Base, we explore a Nature Communications study that proposes a peaceful, socio‑cultural explanation for the sharp decline in male effective population size observed 3,000–5,000 years ago. Instead of widespread violence, the authors show that the dynamics of patrilineal segmentary systems—where lineages split and reproductive success varies between descent groups—can alone generate the Y‑chromosome bottleneck while female lineages continue to expand.
 Study Highlights:The team builds forward‑time simulations of villages structured by patrilocal residence and patrilineal descent, calibrating Y‑chromosome and mtDNA mutation rates and tracking effective population sizes over 100+ generations. They compare scenarios with random versus lineal fission of descent groups and incorporate empirically grounded variance in reproductive success between groups, with and without modeled violence. Lineal fission combined with inter‑group variance in reproductive success consistently produces a strong reduction in male effective population size, whereas violence alone or random fission has a much weaker effect. Bayesian skyline plots from simulated data reproduce a male‑specific bottleneck alongside continued growth of female effective size, and the timing aligns with post‑Neolithic shifts as agro‑pastoralism and patrilineal inheritance spread. Sensitivity analyses show the bottleneck strengthens as variance in reproductive success increases, while female‑to‑male Ne ratios can reach values comparable to those inferred from real data.
 Conclusion:A shift toward patrilineal, segmentary social organization with lineal fission and unequal reproductive success between descent groups may be sufficient to explain the post‑Neolithic Y‑chromosome bottleneck without invoking pervasive warfare.
 Reference:Guyon L, Guez J, Toupance B, Heyer E, Chaix R. Patrilineal segmentary systems provide a peaceful explanation for the post‑Neolithic Y‑chromosome bottleneck. Nature Communications. 2024;15:3243. https://doi.org/10.1038/s41467-024-47618-5
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[150: Patrilineal segmentary systems and the post‑Neolithic Y‑chromosome bottleneck]]>
                </itunes:title>
                                    <itunes:episode>150</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 150: Patrilineal segmentary systems and the post‑Neolithic Y‑chromosome bottleneck</p>
<p> In this episode of PaperCast Base by Base, we explore a Nature Communications study that proposes a peaceful, socio‑cultural explanation for the sharp decline in male effective population size observed 3,000–5,000 years ago. Instead of widespread violence, the authors show that the dynamics of patrilineal segmentary systems—where lineages split and reproductive success varies between descent groups—can alone generate the Y‑chromosome bottleneck while female lineages continue to expand.</p>
<p> Study Highlights:<br />The team builds forward‑time simulations of villages structured by patrilocal residence and patrilineal descent, calibrating Y‑chromosome and mtDNA mutation rates and tracking effective population sizes over 100+ generations. They compare scenarios with random versus lineal fission of descent groups and incorporate empirically grounded variance in reproductive success between groups, with and without modeled violence. Lineal fission combined with inter‑group variance in reproductive success consistently produces a strong reduction in male effective population size, whereas violence alone or random fission has a much weaker effect. Bayesian skyline plots from simulated data reproduce a male‑specific bottleneck alongside continued growth of female effective size, and the timing aligns with post‑Neolithic shifts as agro‑pastoralism and patrilineal inheritance spread. Sensitivity analyses show the bottleneck strengthens as variance in reproductive success increases, while female‑to‑male Ne ratios can reach values comparable to those inferred from real data.</p>
<p> Conclusion:<br />A shift toward patrilineal, segmentary social organization with lineal fission and unequal reproductive success between descent groups may be sufficient to explain the post‑Neolithic Y‑chromosome bottleneck without invoking pervasive warfare.</p>
<p> Reference:<br />Guyon L, Guez J, Toupance B, Heyer E, Chaix R. Patrilineal segmentary systems provide a peaceful explanation for the post‑Neolithic Y‑chromosome bottleneck. Nature Communications. 2024;15:3243. <a title="https://doi.org/10.1038/s41467-024-47618-5" href="https://doi.org/10.1038/s41467-024-47618-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-024-47618-5</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 150: Patrilineal segmentary systems and the post‑Neolithic Y‑chromosome bottleneck
 In this episode of PaperCast Base by Base, we explore a Nature Communications study that proposes a peaceful, socio‑cultural explanation for the sharp decline in male effective population size observed 3,000–5,000 years ago. Instead of widespread violence, the authors show that the dynamics of patrilineal segmentary systems—where lineages split and reproductive success varies between descent groups—can alone generate the Y‑chromosome bottleneck while female lineages continue to expand.
 Study Highlights:The team builds forward‑time simulations of villages structured by patrilocal residence and patrilineal descent, calibrating Y‑chromosome and mtDNA mutation rates and tracking effective population sizes over 100+ generations. They compare scenarios with random versus lineal fission of descent groups and incorporate empirically grounded variance in reproductive success between groups, with and without modeled violence. Lineal fission combined with inter‑group variance in reproductive success consistently produces a strong reduction in male effective population size, whereas violence alone or random fission has a much weaker effect. Bayesian skyline plots from simulated data reproduce a male‑specific bottleneck alongside continued growth of female effective size, and the timing aligns with post‑Neolithic shifts as agro‑pastoralism and patrilineal inheritance spread. Sensitivity analyses show the bottleneck strengthens as variance in reproductive success increases, while female‑to‑male Ne ratios can reach values comparable to those inferred from real data.
 Conclusion:A shift toward patrilineal, segmentary social organization with lineal fission and unequal reproductive success between descent groups may be sufficient to explain the post‑Neolithic Y‑chromosome bottleneck without invoking pervasive warfare.
 Reference:Guyon L, Guez J, Toupance B, Heyer E, Chaix R. Patrilineal segmentary systems provide a peaceful explanation for the post‑Neolithic Y‑chromosome bottleneck. Nature Communications. 2024;15:3243. https://doi.org/10.1038/s41467-024-47618-5
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2152252/c1a-p6xp7-5zop5xq0h1w7-qyohjj.png"></itunes:image>
                                                                            <itunes:duration>00:17:52</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2152252/chapter-data.json"
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                            </item>
                    <item>
                <title>
                    <![CDATA[149: Cultural Hitchhiking and the Post‑Neolithic Y‑Chromosome Bottleneck]]>
                </title>
                <pubDate>Fri, 26 Sep 2025 09:41:30 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2150681</guid>
                                    <link>https://basebybase.castos.com/episodes/cultural-hitchhiking-and-patrilineal-kin-groups-y-chromosome</link>
                                <description>
                                            <![CDATA[<p>️ Episode 149: Cultural Hitchhiking and the Post‑Neolithic Y‑Chromosome Bottleneck<br /><br /> In this episode of PaperCast Base by Base, we explore how patrilineal social structures and intergroup competition can reshape genetic diversity, offering a cultural explanation for the striking male‑specific bottleneck observed 5,000–7,000 years ago across the Old World.</p>
<p> Study Highlights:<br />The authors synthesize anthropological theory, population genomics, and mathematical modeling to test whether competition among patrilineal kin groups could drive a sharp reduction in Y‑chromosome diversity while leaving mitochondrial lineages relatively stable. They introduce an analytical Lotka–Volterra framework and a computational grid simulation to show that when descent groups are patrilineal and compete, entire Y‑chromosome clades can be lost at accelerated rates through cultural hitchhiking and drift. Simulations reproduce two key empirical signals seen in modern datasets: a bottleneck‑like collapse in male line diversity without requiring a demographic crash, and rapid, star‑like expansions of a few dominant Y lineages. Archaeogenetic patterns from post‑Neolithic farmer and pastoralist cultures further align with the model’s expectations, showing shallow coalescence and high Y‑line homogeneity within cultural groups across large geographies.</p>
<p> Conclusion:<br />By linking social organization to genetic patterns, this work reframes the post‑Neolithic Y‑chromosome bottleneck as a cultural phenomenon, sharpening how archaeogenetic signals can be interpreted to infer past social structure and conflict dynamics.</p>
<p> Reference:<br />Zeng, T. C., Aw, A. J., &amp; Feldman, M. W. Cultural hitchhiking and competition between patrilineal kin groups explain the post‑Neolithic Y‑chromosome bottleneck. Nature Communications, 2018; 9:2077. https://doi.org/10.1038/s41467-018-04375-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - The genetic crash of the Neoles</li><li>(00:02:43) - The genetic bottleneck of the Neolithic</li><li>(00:09:08) - How patrilineal DNA helped explain human societies</li><li>(00:14:28) - Base by base science podcast</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 149: Cultural Hitchhiking and the Post‑Neolithic Y‑Chromosome Bottleneck In this episode of PaperCast Base by Base, we explore how patrilineal social structures and intergroup competition can reshape genetic diversity, offering a cultural explanation for the striking male‑specific bottleneck observed 5,000–7,000 years ago across the Old World.
 Study Highlights:The authors synthesize anthropological theory, population genomics, and mathematical modeling to test whether competition among patrilineal kin groups could drive a sharp reduction in Y‑chromosome diversity while leaving mitochondrial lineages relatively stable. They introduce an analytical Lotka–Volterra framework and a computational grid simulation to show that when descent groups are patrilineal and compete, entire Y‑chromosome clades can be lost at accelerated rates through cultural hitchhiking and drift. Simulations reproduce two key empirical signals seen in modern datasets: a bottleneck‑like collapse in male line diversity without requiring a demographic crash, and rapid, star‑like expansions of a few dominant Y lineages. Archaeogenetic patterns from post‑Neolithic farmer and pastoralist cultures further align with the model’s expectations, showing shallow coalescence and high Y‑line homogeneity within cultural groups across large geographies.
 Conclusion:By linking social organization to genetic patterns, this work reframes the post‑Neolithic Y‑chromosome bottleneck as a cultural phenomenon, sharpening how archaeogenetic signals can be interpreted to infer past social structure and conflict dynamics.
 Reference:Zeng, T. C., Aw, A. J., & Feldman, M. W. Cultural hitchhiking and competition between patrilineal kin groups explain the post‑Neolithic Y‑chromosome bottleneck. Nature Communications, 2018; 9:2077. https://doi.org/10.1038/s41467-018-04375-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[149: Cultural Hitchhiking and the Post‑Neolithic Y‑Chromosome Bottleneck]]>
                </itunes:title>
                                    <itunes:episode>149</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 149: Cultural Hitchhiking and the Post‑Neolithic Y‑Chromosome Bottleneck<br /><br /> In this episode of PaperCast Base by Base, we explore how patrilineal social structures and intergroup competition can reshape genetic diversity, offering a cultural explanation for the striking male‑specific bottleneck observed 5,000–7,000 years ago across the Old World.</p>
<p> Study Highlights:<br />The authors synthesize anthropological theory, population genomics, and mathematical modeling to test whether competition among patrilineal kin groups could drive a sharp reduction in Y‑chromosome diversity while leaving mitochondrial lineages relatively stable. They introduce an analytical Lotka–Volterra framework and a computational grid simulation to show that when descent groups are patrilineal and compete, entire Y‑chromosome clades can be lost at accelerated rates through cultural hitchhiking and drift. Simulations reproduce two key empirical signals seen in modern datasets: a bottleneck‑like collapse in male line diversity without requiring a demographic crash, and rapid, star‑like expansions of a few dominant Y lineages. Archaeogenetic patterns from post‑Neolithic farmer and pastoralist cultures further align with the model’s expectations, showing shallow coalescence and high Y‑line homogeneity within cultural groups across large geographies.</p>
<p> Conclusion:<br />By linking social organization to genetic patterns, this work reframes the post‑Neolithic Y‑chromosome bottleneck as a cultural phenomenon, sharpening how archaeogenetic signals can be interpreted to infer past social structure and conflict dynamics.</p>
<p> Reference:<br />Zeng, T. C., Aw, A. J., &amp; Feldman, M. W. Cultural hitchhiking and competition between patrilineal kin groups explain the post‑Neolithic Y‑chromosome bottleneck. Nature Communications, 2018; 9:2077. https://doi.org/10.1038/s41467-018-04375-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 149: Cultural Hitchhiking and the Post‑Neolithic Y‑Chromosome Bottleneck In this episode of PaperCast Base by Base, we explore how patrilineal social structures and intergroup competition can reshape genetic diversity, offering a cultural explanation for the striking male‑specific bottleneck observed 5,000–7,000 years ago across the Old World.
 Study Highlights:The authors synthesize anthropological theory, population genomics, and mathematical modeling to test whether competition among patrilineal kin groups could drive a sharp reduction in Y‑chromosome diversity while leaving mitochondrial lineages relatively stable. They introduce an analytical Lotka–Volterra framework and a computational grid simulation to show that when descent groups are patrilineal and compete, entire Y‑chromosome clades can be lost at accelerated rates through cultural hitchhiking and drift. Simulations reproduce two key empirical signals seen in modern datasets: a bottleneck‑like collapse in male line diversity without requiring a demographic crash, and rapid, star‑like expansions of a few dominant Y lineages. Archaeogenetic patterns from post‑Neolithic farmer and pastoralist cultures further align with the model’s expectations, showing shallow coalescence and high Y‑line homogeneity within cultural groups across large geographies.
 Conclusion:By linking social organization to genetic patterns, this work reframes the post‑Neolithic Y‑chromosome bottleneck as a cultural phenomenon, sharpening how archaeogenetic signals can be interpreted to infer past social structure and conflict dynamics.
 Reference:Zeng, T. C., Aw, A. J., & Feldman, M. W. Cultural hitchhiking and competition between patrilineal kin groups explain the post‑Neolithic Y‑chromosome bottleneck. Nature Communications, 2018; 9:2077. https://doi.org/10.1038/s41467-018-04375-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2150681/c1a-p6xp7-kp9rp778sxv-44y28n.png"></itunes:image>
                                                                            <itunes:duration>00:15:04</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2150681/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[148: Systematic Minigene-Based Splicing Analysis and Tentative Clinical Classification of 52 CHEK2 Splice-Site Variants]]>
                </title>
                <pubDate>Thu, 25 Sep 2025 08:36:14 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2149372</guid>
                                    <link>https://basebybase.castos.com/episodes/chek2-splicing-minigene-variant-classification-hereditary</link>
                                <description>
                                            <![CDATA[<p>️ Episode 148: Systematic Minigene-Based Splicing Analysis and Tentative Clinical Classification of 52 CHEK2 Splice-Site Variants</p>
<p><br /> In this episode of PaperCast Base by Base, we explore a comprehensive functional assessment of splice-site variants in CHEK2 using reporter minigenes, revealing how disrupted pre-mRNA splicing contributes to hereditary breast cancer risk and how these readouts can support clinical variant classification.</p>
<p><br /> Study Highlights:<br />The authors screened 128 intron–exon boundary variants from large breast cancer cohorts with in silico tools and selected 52 candidates for minigene assays that collectively span all 15 CHEK2 exons.<br />In transfected MCF-7 cells, 46 of the 52 variants impaired splicing, frequently abolishing the full-length transcript and generating a remarkably complex set of 89 annotated RNA isoforms through exon skipping, intron retention, and alternative splice-site usage.</p>
<p><br />Several transcripts introduced premature termination codons consistent with predicted nonsense-mediated decay, while a minority preserved the open reading frame or altered the 5′UTR, illustrating diverse molecular consequences.</p>
<p><br />A notable mechanistic finding was activation of a rare noncanonical TG acceptor site by variant c.684-2A&gt;G, with exon 6 enhancer motifs mapped as critical for this atypical splice-site recognition.<br />Incorporating minigene readouts into an ACMG/AMP-inspired Bayesian framework enabled tentative reclassification of 32 variants, including 27 as pathogenic or likely pathogenic and 5 as likely benign, while 20 remained VUS due to complex splicing profiles.</p>
<p><br /> Conclusion: Minigene-based splicing assays provide scalable, allele-specific functional evidence that can sharpen clinical interpretation of CHEK2 variants and should be integrated alongside population and case–control data in variant curation workflows.</p>
<p><br /> Reference: Sanoguera-Miralles L, Valenzuela-Palomo A, Bueno-Martínez E, Esteban-Sánchez A, Lorca V, Llinares-Burguet I, García-Álvarez A, Pérez-Segura P, Infante M, Easton DF, Devilee P, Vreeswijk MPG, de la Hoya M, Velasco-Sampedro EA. Systematic Minigene-Based Splicing Analysis and Tentative Clinical Classification of 52 CHEK2 Splice-Site Variants. Clinical Chemistry. 2024;70(1):319–338. <a href="https://doi.org/10.1093/clinchem/hvad125">https://doi.org/10.1093/clinchem/hvad125</a></p>
<p><br /> License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a></p>
<p><br /> Support: If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a href="https://basebybase.castos.com/">https://basebybase.castos.com/</a></p>
<p><br /> Episode Slug: systematic-minigene-based-splicing-analysis-and-tentative-clinical-classification-of-52-chek2-splice-site-variants</p>
<p><br />Keywords: CHEK2; splicing; minigene; variant classification; hereditary breast cancer</p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - First look at the genetic uncertainty in cancer screening</li><li>(00:02:23) - Breast Cancer genetic screening, the QIQUE2 gene</li><li>(00:04:19) - Breast cancer: the minigene approach</li><li>(00:06:06) - Flip-flopping in splicing</li><li>(00:08:46) - The pathogenicity of C6842AG</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 148: Systematic Minigene-Based Splicing Analysis and Tentative Clinical Classification of 52 CHEK2 Splice-Site Variants
 In this episode of PaperCast Base by Base, we explore a comprehensive functional assessment of splice-site variants in CHEK2 using reporter minigenes, revealing how disrupted pre-mRNA splicing contributes to hereditary breast cancer risk and how these readouts can support clinical variant classification.
 Study Highlights:The authors screened 128 intron–exon boundary variants from large breast cancer cohorts with in silico tools and selected 52 candidates for minigene assays that collectively span all 15 CHEK2 exons.In transfected MCF-7 cells, 46 of the 52 variants impaired splicing, frequently abolishing the full-length transcript and generating a remarkably complex set of 89 annotated RNA isoforms through exon skipping, intron retention, and alternative splice-site usage.
Several transcripts introduced premature termination codons consistent with predicted nonsense-mediated decay, while a minority preserved the open reading frame or altered the 5′UTR, illustrating diverse molecular consequences.
A notable mechanistic finding was activation of a rare noncanonical TG acceptor site by variant c.684-2A>G, with exon 6 enhancer motifs mapped as critical for this atypical splice-site recognition.Incorporating minigene readouts into an ACMG/AMP-inspired Bayesian framework enabled tentative reclassification of 32 variants, including 27 as pathogenic or likely pathogenic and 5 as likely benign, while 20 remained VUS due to complex splicing profiles.
 Conclusion: Minigene-based splicing assays provide scalable, allele-specific functional evidence that can sharpen clinical interpretation of CHEK2 variants and should be integrated alongside population and case–control data in variant curation workflows.
 Reference: Sanoguera-Miralles L, Valenzuela-Palomo A, Bueno-Martínez E, Esteban-Sánchez A, Lorca V, Llinares-Burguet I, García-Álvarez A, Pérez-Segura P, Infante M, Easton DF, Devilee P, Vreeswijk MPG, de la Hoya M, Velasco-Sampedro EA. Systematic Minigene-Based Splicing Analysis and Tentative Clinical Classification of 52 CHEK2 Splice-Site Variants. Clinical Chemistry. 2024;70(1):319–338. https://doi.org/10.1093/clinchem/hvad125
 License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support: If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Episode Slug: systematic-minigene-based-splicing-analysis-and-tentative-clinical-classification-of-52-chek2-splice-site-variants
Keywords: CHEK2; splicing; minigene; variant classification; hereditary breast cancer]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[148: Systematic Minigene-Based Splicing Analysis and Tentative Clinical Classification of 52 CHEK2 Splice-Site Variants]]>
                </itunes:title>
                                    <itunes:episode>148</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 148: Systematic Minigene-Based Splicing Analysis and Tentative Clinical Classification of 52 CHEK2 Splice-Site Variants</p>
<p><br /> In this episode of PaperCast Base by Base, we explore a comprehensive functional assessment of splice-site variants in CHEK2 using reporter minigenes, revealing how disrupted pre-mRNA splicing contributes to hereditary breast cancer risk and how these readouts can support clinical variant classification.</p>
<p><br /> Study Highlights:<br />The authors screened 128 intron–exon boundary variants from large breast cancer cohorts with in silico tools and selected 52 candidates for minigene assays that collectively span all 15 CHEK2 exons.<br />In transfected MCF-7 cells, 46 of the 52 variants impaired splicing, frequently abolishing the full-length transcript and generating a remarkably complex set of 89 annotated RNA isoforms through exon skipping, intron retention, and alternative splice-site usage.</p>
<p><br />Several transcripts introduced premature termination codons consistent with predicted nonsense-mediated decay, while a minority preserved the open reading frame or altered the 5′UTR, illustrating diverse molecular consequences.</p>
<p><br />A notable mechanistic finding was activation of a rare noncanonical TG acceptor site by variant c.684-2A&gt;G, with exon 6 enhancer motifs mapped as critical for this atypical splice-site recognition.<br />Incorporating minigene readouts into an ACMG/AMP-inspired Bayesian framework enabled tentative reclassification of 32 variants, including 27 as pathogenic or likely pathogenic and 5 as likely benign, while 20 remained VUS due to complex splicing profiles.</p>
<p><br /> Conclusion: Minigene-based splicing assays provide scalable, allele-specific functional evidence that can sharpen clinical interpretation of CHEK2 variants and should be integrated alongside population and case–control data in variant curation workflows.</p>
<p><br /> Reference: Sanoguera-Miralles L, Valenzuela-Palomo A, Bueno-Martínez E, Esteban-Sánchez A, Lorca V, Llinares-Burguet I, García-Álvarez A, Pérez-Segura P, Infante M, Easton DF, Devilee P, Vreeswijk MPG, de la Hoya M, Velasco-Sampedro EA. Systematic Minigene-Based Splicing Analysis and Tentative Clinical Classification of 52 CHEK2 Splice-Site Variants. Clinical Chemistry. 2024;70(1):319–338. <a href="https://doi.org/10.1093/clinchem/hvad125">https://doi.org/10.1093/clinchem/hvad125</a></p>
<p><br /> License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a></p>
<p><br /> Support: If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a href="https://basebybase.castos.com/">https://basebybase.castos.com/</a></p>
<p><br /> Episode Slug: systematic-minigene-based-splicing-analysis-and-tentative-clinical-classification-of-52-chek2-splice-site-variants</p>
<p><br />Keywords: CHEK2; splicing; minigene; variant classification; hereditary breast cancer</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 148: Systematic Minigene-Based Splicing Analysis and Tentative Clinical Classification of 52 CHEK2 Splice-Site Variants
 In this episode of PaperCast Base by Base, we explore a comprehensive functional assessment of splice-site variants in CHEK2 using reporter minigenes, revealing how disrupted pre-mRNA splicing contributes to hereditary breast cancer risk and how these readouts can support clinical variant classification.
 Study Highlights:The authors screened 128 intron–exon boundary variants from large breast cancer cohorts with in silico tools and selected 52 candidates for minigene assays that collectively span all 15 CHEK2 exons.In transfected MCF-7 cells, 46 of the 52 variants impaired splicing, frequently abolishing the full-length transcript and generating a remarkably complex set of 89 annotated RNA isoforms through exon skipping, intron retention, and alternative splice-site usage.
Several transcripts introduced premature termination codons consistent with predicted nonsense-mediated decay, while a minority preserved the open reading frame or altered the 5′UTR, illustrating diverse molecular consequences.
A notable mechanistic finding was activation of a rare noncanonical TG acceptor site by variant c.684-2A>G, with exon 6 enhancer motifs mapped as critical for this atypical splice-site recognition.Incorporating minigene readouts into an ACMG/AMP-inspired Bayesian framework enabled tentative reclassification of 32 variants, including 27 as pathogenic or likely pathogenic and 5 as likely benign, while 20 remained VUS due to complex splicing profiles.
 Conclusion: Minigene-based splicing assays provide scalable, allele-specific functional evidence that can sharpen clinical interpretation of CHEK2 variants and should be integrated alongside population and case–control data in variant curation workflows.
 Reference: Sanoguera-Miralles L, Valenzuela-Palomo A, Bueno-Martínez E, Esteban-Sánchez A, Lorca V, Llinares-Burguet I, García-Álvarez A, Pérez-Segura P, Infante M, Easton DF, Devilee P, Vreeswijk MPG, de la Hoya M, Velasco-Sampedro EA. Systematic Minigene-Based Splicing Analysis and Tentative Clinical Classification of 52 CHEK2 Splice-Site Variants. Clinical Chemistry. 2024;70(1):319–338. https://doi.org/10.1093/clinchem/hvad125
 License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support: If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Episode Slug: systematic-minigene-based-splicing-analysis-and-tentative-clinical-classification-of-52-chek2-splice-site-variants
Keywords: CHEK2; splicing; minigene; variant classification; hereditary breast cancer]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:14:44</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[147: Comprehensive Annotation of Complete ABO Alleles and Resolution of ABO Variants]]>
                </title>
                <pubDate>Wed, 24 Sep 2025 08:28:26 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2148231</guid>
                                    <link>https://basebybase.castos.com/episodes/comprehensive-annotation-abo-haplotypes</link>
                                <description>
                                            <![CDATA[<p>️ Episode 147: Comprehensive Annotation of Complete ABO Alleles and Resolution of ABO Variants</p>
<p> In this episode of PaperCast Base by Base, we explore a groundbreaking study that introduces an improved long-read sequencing method to fully resolve ABO haplotypes, spanning from the 5′ to the 3′ untranslated regions. This work addresses a major gap in blood group genomics by delivering the most comprehensive annotation of complete ABO alleles to date.</p>
<p> Study Highlights:<br />Researchers analyzed specimens from 79 blood donors and 47 ABO variants using an optimized ultra-long-range PCR method combined with PacBio SMRT sequencing. They successfully amplified and sequenced the full 26.1 kb ABO gene without splicing, achieving complete coverage including the regulatory 5′ and 3′ UTRs. The study provided detailed haplotype sequences of predominant alleles in a Chinese population, revealing structural variations, recombination events, and previously unknown subtypes. Importantly, this method also resolved complex variants, including large deletions, chimeras, and intronic regulatory motifs, offering new insights into ABO allele diversity and molecular mechanisms.</p>
<p> Conclusion:<br />This comprehensive full-length ABO haplotype sequencing approach advances transfusion medicine by improving variant resolution, refining allele classification, and enabling more accurate genomic analysis for clinical and evolutionary applications.</p>
<p> Reference:<br />Ying Y, Zhang J, Hong X, Yuan W, Ma K, Huang X, Xu X, Zhu F. Comprehensive Annotation of Complete ABO Alleles and Resolution of ABO Variants by an Improved Full-Length ABO Haplotype Sequencing. *Clinical Chemistry*. 2025;71(4):510–519. <a title="https://doi.org/10.1093/clinchem/hvaf015" href="https://doi.org/10.1093/clinchem/hvaf015" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/clinchem/hvaf015</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Base by Base: The mystery of blood types</li><li>(00:01:27) - Full-length ABO haplotype sequencing</li><li>(00:06:05) - Anatomy 5, Chinese genetic variation</li><li>(00:06:54) - The structural variations of the ABO genome</li><li>(00:09:38) - ULRPCR: The Bigger Alga</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 147: Comprehensive Annotation of Complete ABO Alleles and Resolution of ABO Variants
 In this episode of PaperCast Base by Base, we explore a groundbreaking study that introduces an improved long-read sequencing method to fully resolve ABO haplotypes, spanning from the 5′ to the 3′ untranslated regions. This work addresses a major gap in blood group genomics by delivering the most comprehensive annotation of complete ABO alleles to date.
 Study Highlights:Researchers analyzed specimens from 79 blood donors and 47 ABO variants using an optimized ultra-long-range PCR method combined with PacBio SMRT sequencing. They successfully amplified and sequenced the full 26.1 kb ABO gene without splicing, achieving complete coverage including the regulatory 5′ and 3′ UTRs. The study provided detailed haplotype sequences of predominant alleles in a Chinese population, revealing structural variations, recombination events, and previously unknown subtypes. Importantly, this method also resolved complex variants, including large deletions, chimeras, and intronic regulatory motifs, offering new insights into ABO allele diversity and molecular mechanisms.
 Conclusion:This comprehensive full-length ABO haplotype sequencing approach advances transfusion medicine by improving variant resolution, refining allele classification, and enabling more accurate genomic analysis for clinical and evolutionary applications.
 Reference:Ying Y, Zhang J, Hong X, Yuan W, Ma K, Huang X, Xu X, Zhu F. Comprehensive Annotation of Complete ABO Alleles and Resolution of ABO Variants by an Improved Full-Length ABO Haplotype Sequencing. *Clinical Chemistry*. 2025;71(4):510–519. https://doi.org/10.1093/clinchem/hvaf015
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[147: Comprehensive Annotation of Complete ABO Alleles and Resolution of ABO Variants]]>
                </itunes:title>
                                    <itunes:episode>147</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 147: Comprehensive Annotation of Complete ABO Alleles and Resolution of ABO Variants</p>
<p> In this episode of PaperCast Base by Base, we explore a groundbreaking study that introduces an improved long-read sequencing method to fully resolve ABO haplotypes, spanning from the 5′ to the 3′ untranslated regions. This work addresses a major gap in blood group genomics by delivering the most comprehensive annotation of complete ABO alleles to date.</p>
<p> Study Highlights:<br />Researchers analyzed specimens from 79 blood donors and 47 ABO variants using an optimized ultra-long-range PCR method combined with PacBio SMRT sequencing. They successfully amplified and sequenced the full 26.1 kb ABO gene without splicing, achieving complete coverage including the regulatory 5′ and 3′ UTRs. The study provided detailed haplotype sequences of predominant alleles in a Chinese population, revealing structural variations, recombination events, and previously unknown subtypes. Importantly, this method also resolved complex variants, including large deletions, chimeras, and intronic regulatory motifs, offering new insights into ABO allele diversity and molecular mechanisms.</p>
<p> Conclusion:<br />This comprehensive full-length ABO haplotype sequencing approach advances transfusion medicine by improving variant resolution, refining allele classification, and enabling more accurate genomic analysis for clinical and evolutionary applications.</p>
<p> Reference:<br />Ying Y, Zhang J, Hong X, Yuan W, Ma K, Huang X, Xu X, Zhu F. Comprehensive Annotation of Complete ABO Alleles and Resolution of ABO Variants by an Improved Full-Length ABO Haplotype Sequencing. *Clinical Chemistry*. 2025;71(4):510–519. <a title="https://doi.org/10.1093/clinchem/hvaf015" href="https://doi.org/10.1093/clinchem/hvaf015" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/clinchem/hvaf015</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 147: Comprehensive Annotation of Complete ABO Alleles and Resolution of ABO Variants
 In this episode of PaperCast Base by Base, we explore a groundbreaking study that introduces an improved long-read sequencing method to fully resolve ABO haplotypes, spanning from the 5′ to the 3′ untranslated regions. This work addresses a major gap in blood group genomics by delivering the most comprehensive annotation of complete ABO alleles to date.
 Study Highlights:Researchers analyzed specimens from 79 blood donors and 47 ABO variants using an optimized ultra-long-range PCR method combined with PacBio SMRT sequencing. They successfully amplified and sequenced the full 26.1 kb ABO gene without splicing, achieving complete coverage including the regulatory 5′ and 3′ UTRs. The study provided detailed haplotype sequences of predominant alleles in a Chinese population, revealing structural variations, recombination events, and previously unknown subtypes. Importantly, this method also resolved complex variants, including large deletions, chimeras, and intronic regulatory motifs, offering new insights into ABO allele diversity and molecular mechanisms.
 Conclusion:This comprehensive full-length ABO haplotype sequencing approach advances transfusion medicine by improving variant resolution, refining allele classification, and enabling more accurate genomic analysis for clinical and evolutionary applications.
 Reference:Ying Y, Zhang J, Hong X, Yuan W, Ma K, Huang X, Xu X, Zhu F. Comprehensive Annotation of Complete ABO Alleles and Resolution of ABO Variants by an Improved Full-Length ABO Haplotype Sequencing. *Clinical Chemistry*. 2025;71(4):510–519. https://doi.org/10.1093/clinchem/hvaf015
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2148231/c1a-p6xp7-xx4qqz4xhro-q4d9aw.png"></itunes:image>
                                                                            <itunes:duration>00:15:37</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2148231/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[146: Automated and Decentralized Genomic Profiling of Plasma Cell-Free DNA in Solid Tumors]]>
                </title>
                <pubDate>Tue, 23 Sep 2025 09:01:59 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2147337</guid>
                                    <link>https://basebybase.castos.com/episodes/automated-decentralized-genomic-profiling-cfdna-solid-tumors</link>
                                <description>
                                            <![CDATA[<p>️ Episode 146: Automated and Decentralized Genomic Profiling of Plasma Cell-Free DNA in Solid Tumors</p>
<p> In this episode of PaperCast Base by Base, we explore the clinical feasibility of an automated and decentralized cfDNA sequencing system designed to identify actionable and resistance alterations in advanced solid tumors.</p>
<p> Study Highlights:<br />Researchers evaluated plasma cfDNA from 298 patients with advanced cancers using the Oncomine Precision Assay GX and Genexus integrated sequencer. Sequencing success rates were higher for cfDNA compared to tumor tissue, and 50% of patients had detectable ctDNA mutations. Concordance between plasma and tumor results reached 72%, with detection influenced by tumor type, burden, and metastatic site. Plasma-only alterations were observed in 18% of patients, particularly in those previously treated with targeted therapies, underscoring cfDNA’s role in capturing tumor evolution.</p>
<p> Conclusion:<br />This decentralized approach demonstrates strong potential for expanding timely genomic profiling and improving access to precision oncology.</p>
<p> Reference:<br />Chan HT, Otaki M, Hayashi N, Fukada I, Chin YM, Fukuda N, Hosonaga M, Wang X, Yunokawa M, Shinozaki E, Yamaguchi K, Wakatsuki T, Kasuga A, Nakamura Y, Takahashi S, Low SK. Automated and Decentralized Genomic Profiling of Plasma Cell-Free DNA for Identification of Targetable and Resistance Alterations in Advanced Solid Tumors. Clinical Chemistry. 2025;71(6):700-712. <a title="https://doi.org/10.1093/clinchem/hvaf045" href="https://doi.org/10.1093/clinchem/hvaf045" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/clinchem/hvaf045</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Decentralized liquid biopsy for advanced cancers</li><li>(00:01:31) - Liquid biopsy vs. tissue profiling</li><li>(00:04:04) - Immunity from the liquid biopsy</li><li>(00:04:49) - The Covance DNA test</li><li>(00:07:23) - The Match Between Tissue and Plasma</li><li>(00:08:13) - The rapid plasma test for cancer...</li><li>(00:11:31) - Plasma only mutations in cancer</li><li>(00:15:05) - Base by base science</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 146: Automated and Decentralized Genomic Profiling of Plasma Cell-Free DNA in Solid Tumors
 In this episode of PaperCast Base by Base, we explore the clinical feasibility of an automated and decentralized cfDNA sequencing system designed to identify actionable and resistance alterations in advanced solid tumors.
 Study Highlights:Researchers evaluated plasma cfDNA from 298 patients with advanced cancers using the Oncomine Precision Assay GX and Genexus integrated sequencer. Sequencing success rates were higher for cfDNA compared to tumor tissue, and 50% of patients had detectable ctDNA mutations. Concordance between plasma and tumor results reached 72%, with detection influenced by tumor type, burden, and metastatic site. Plasma-only alterations were observed in 18% of patients, particularly in those previously treated with targeted therapies, underscoring cfDNA’s role in capturing tumor evolution.
 Conclusion:This decentralized approach demonstrates strong potential for expanding timely genomic profiling and improving access to precision oncology.
 Reference:Chan HT, Otaki M, Hayashi N, Fukada I, Chin YM, Fukuda N, Hosonaga M, Wang X, Yunokawa M, Shinozaki E, Yamaguchi K, Wakatsuki T, Kasuga A, Nakamura Y, Takahashi S, Low SK. Automated and Decentralized Genomic Profiling of Plasma Cell-Free DNA for Identification of Targetable and Resistance Alterations in Advanced Solid Tumors. Clinical Chemistry. 2025;71(6):700-712. https://doi.org/10.1093/clinchem/hvaf045
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[146: Automated and Decentralized Genomic Profiling of Plasma Cell-Free DNA in Solid Tumors]]>
                </itunes:title>
                                    <itunes:episode>146</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 146: Automated and Decentralized Genomic Profiling of Plasma Cell-Free DNA in Solid Tumors</p>
<p> In this episode of PaperCast Base by Base, we explore the clinical feasibility of an automated and decentralized cfDNA sequencing system designed to identify actionable and resistance alterations in advanced solid tumors.</p>
<p> Study Highlights:<br />Researchers evaluated plasma cfDNA from 298 patients with advanced cancers using the Oncomine Precision Assay GX and Genexus integrated sequencer. Sequencing success rates were higher for cfDNA compared to tumor tissue, and 50% of patients had detectable ctDNA mutations. Concordance between plasma and tumor results reached 72%, with detection influenced by tumor type, burden, and metastatic site. Plasma-only alterations were observed in 18% of patients, particularly in those previously treated with targeted therapies, underscoring cfDNA’s role in capturing tumor evolution.</p>
<p> Conclusion:<br />This decentralized approach demonstrates strong potential for expanding timely genomic profiling and improving access to precision oncology.</p>
<p> Reference:<br />Chan HT, Otaki M, Hayashi N, Fukada I, Chin YM, Fukuda N, Hosonaga M, Wang X, Yunokawa M, Shinozaki E, Yamaguchi K, Wakatsuki T, Kasuga A, Nakamura Y, Takahashi S, Low SK. Automated and Decentralized Genomic Profiling of Plasma Cell-Free DNA for Identification of Targetable and Resistance Alterations in Advanced Solid Tumors. Clinical Chemistry. 2025;71(6):700-712. <a title="https://doi.org/10.1093/clinchem/hvaf045" href="https://doi.org/10.1093/clinchem/hvaf045" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/clinchem/hvaf045</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[️ Episode 146: Automated and Decentralized Genomic Profiling of Plasma Cell-Free DNA in Solid Tumors
 In this episode of PaperCast Base by Base, we explore the clinical feasibility of an automated and decentralized cfDNA sequencing system designed to identify actionable and resistance alterations in advanced solid tumors.
 Study Highlights:Researchers evaluated plasma cfDNA from 298 patients with advanced cancers using the Oncomine Precision Assay GX and Genexus integrated sequencer. Sequencing success rates were higher for cfDNA compared to tumor tissue, and 50% of patients had detectable ctDNA mutations. Concordance between plasma and tumor results reached 72%, with detection influenced by tumor type, burden, and metastatic site. Plasma-only alterations were observed in 18% of patients, particularly in those previously treated with targeted therapies, underscoring cfDNA’s role in capturing tumor evolution.
 Conclusion:This decentralized approach demonstrates strong potential for expanding timely genomic profiling and improving access to precision oncology.
 Reference:Chan HT, Otaki M, Hayashi N, Fukada I, Chin YM, Fukuda N, Hosonaga M, Wang X, Yunokawa M, Shinozaki E, Yamaguchi K, Wakatsuki T, Kasuga A, Nakamura Y, Takahashi S, Low SK. Automated and Decentralized Genomic Profiling of Plasma Cell-Free DNA for Identification of Targetable and Resistance Alterations in Advanced Solid Tumors. Clinical Chemistry. 2025;71(6):700-712. https://doi.org/10.1093/clinchem/hvaf045
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2147337/c1a-p6xp7-6z3vxv2kcqpn-piwijj.png"></itunes:image>
                                                                            <itunes:duration>00:15:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[145: A Validated Highly Sensitive Microsatellite Instability Assay Identifies PMS2 Variants in CMMRD]]>
                </title>
                <pubDate>Mon, 22 Sep 2025 08:57:25 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2146487</guid>
                                    <link>https://basebybase.castos.com/episodes/validated-hs-msi-assay-identifies-pms2-in-cmmrd</link>
                                <description>
                                            <![CDATA[<p>️ Episode 145: A Validated Highly Sensitive Microsatellite Instability Assay Identifies PMS2 Variants in CMMRD</p>
<p> In this episode of PaperCast Base by Base, we explore a study that validates a next-generation sequencing-based highly sensitive microsatellite instability (hs-MSI) assay for the diagnosis of constitutional mismatch repair deficiency (CMMRD), a rare childhood-onset cancer predisposition syndrome. The work focuses on improving detection of PMS2 pathogenic variants, the most frequent but technically challenging cause of CMMRD.</p>
<p> Study Highlights:<br />The researchers applied the hs-MSI assay to a blinded cohort of 66 blood and 24 tumor samples from individuals with CMMRD and controls, demonstrating a sensitivity of 98.5% and specificity of 100% in detecting the syndrome. The hs-MSI results showed strong correlation with whole-genome low-pass instability scores (LOGIC/MMRDness) and identified distinct microsatellite indel patterns that differentiated PMS2 variant carriers with an accuracy of 0.997. Higher hs-MSI scores were also associated with earlier age of tumor onset, highlighting its potential role as a biomarker for cancer risk stratification.</p>
<p> Conclusion:<br />This validated hs-MSI assay provides a robust and clinically feasible tool to support CMMRD diagnosis, distinguish PMS2 involvement, and personalize surveillance strategies.</p>
<p> Reference:<br />Marín F, Canet-Hermida J, Bianchi V, Chung J, Wimmer K, Foulkes W, et al. A Validated Highly Sensitive Microsatellite Instability Assay Accurately Identifies Individuals Harboring Biallelic Germline PMS2 Pathogenic Variants in Constitutional Mismatch Repair Deficiency. *Clinical Chemistry*. 2024;70(5):737–746. <a title="https://doi.org/10.1093/clinchem/hvae027" href="https://doi.org/10.1093/clinchem/hvae027" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/clinchem/hvae027</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - A revolutionary cancer diagnostic tool for CMMRD</li><li>(00:03:39) - The genetic test for CMMRD</li><li>(00:07:27) - HS MSI assay: 100% specificity and 99% sensitivity</li><li>(00:10:24) - Immunity of CMMRD: a genotype specific fingerprint</li><li>(00:13:51) - HS MSI score for CMMRD</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 145: A Validated Highly Sensitive Microsatellite Instability Assay Identifies PMS2 Variants in CMMRD
 In this episode of PaperCast Base by Base, we explore a study that validates a next-generation sequencing-based highly sensitive microsatellite instability (hs-MSI) assay for the diagnosis of constitutional mismatch repair deficiency (CMMRD), a rare childhood-onset cancer predisposition syndrome. The work focuses on improving detection of PMS2 pathogenic variants, the most frequent but technically challenging cause of CMMRD.
 Study Highlights:The researchers applied the hs-MSI assay to a blinded cohort of 66 blood and 24 tumor samples from individuals with CMMRD and controls, demonstrating a sensitivity of 98.5% and specificity of 100% in detecting the syndrome. The hs-MSI results showed strong correlation with whole-genome low-pass instability scores (LOGIC/MMRDness) and identified distinct microsatellite indel patterns that differentiated PMS2 variant carriers with an accuracy of 0.997. Higher hs-MSI scores were also associated with earlier age of tumor onset, highlighting its potential role as a biomarker for cancer risk stratification.
 Conclusion:This validated hs-MSI assay provides a robust and clinically feasible tool to support CMMRD diagnosis, distinguish PMS2 involvement, and personalize surveillance strategies.
 Reference:Marín F, Canet-Hermida J, Bianchi V, Chung J, Wimmer K, Foulkes W, et al. A Validated Highly Sensitive Microsatellite Instability Assay Accurately Identifies Individuals Harboring Biallelic Germline PMS2 Pathogenic Variants in Constitutional Mismatch Repair Deficiency. *Clinical Chemistry*. 2024;70(5):737–746. https://doi.org/10.1093/clinchem/hvae027
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[145: A Validated Highly Sensitive Microsatellite Instability Assay Identifies PMS2 Variants in CMMRD]]>
                </itunes:title>
                                    <itunes:episode>145</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 145: A Validated Highly Sensitive Microsatellite Instability Assay Identifies PMS2 Variants in CMMRD</p>
<p> In this episode of PaperCast Base by Base, we explore a study that validates a next-generation sequencing-based highly sensitive microsatellite instability (hs-MSI) assay for the diagnosis of constitutional mismatch repair deficiency (CMMRD), a rare childhood-onset cancer predisposition syndrome. The work focuses on improving detection of PMS2 pathogenic variants, the most frequent but technically challenging cause of CMMRD.</p>
<p> Study Highlights:<br />The researchers applied the hs-MSI assay to a blinded cohort of 66 blood and 24 tumor samples from individuals with CMMRD and controls, demonstrating a sensitivity of 98.5% and specificity of 100% in detecting the syndrome. The hs-MSI results showed strong correlation with whole-genome low-pass instability scores (LOGIC/MMRDness) and identified distinct microsatellite indel patterns that differentiated PMS2 variant carriers with an accuracy of 0.997. Higher hs-MSI scores were also associated with earlier age of tumor onset, highlighting its potential role as a biomarker for cancer risk stratification.</p>
<p> Conclusion:<br />This validated hs-MSI assay provides a robust and clinically feasible tool to support CMMRD diagnosis, distinguish PMS2 involvement, and personalize surveillance strategies.</p>
<p> Reference:<br />Marín F, Canet-Hermida J, Bianchi V, Chung J, Wimmer K, Foulkes W, et al. A Validated Highly Sensitive Microsatellite Instability Assay Accurately Identifies Individuals Harboring Biallelic Germline PMS2 Pathogenic Variants in Constitutional Mismatch Repair Deficiency. *Clinical Chemistry*. 2024;70(5):737–746. <a title="https://doi.org/10.1093/clinchem/hvae027" href="https://doi.org/10.1093/clinchem/hvae027" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/clinchem/hvae027</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[️ Episode 145: A Validated Highly Sensitive Microsatellite Instability Assay Identifies PMS2 Variants in CMMRD
 In this episode of PaperCast Base by Base, we explore a study that validates a next-generation sequencing-based highly sensitive microsatellite instability (hs-MSI) assay for the diagnosis of constitutional mismatch repair deficiency (CMMRD), a rare childhood-onset cancer predisposition syndrome. The work focuses on improving detection of PMS2 pathogenic variants, the most frequent but technically challenging cause of CMMRD.
 Study Highlights:The researchers applied the hs-MSI assay to a blinded cohort of 66 blood and 24 tumor samples from individuals with CMMRD and controls, demonstrating a sensitivity of 98.5% and specificity of 100% in detecting the syndrome. The hs-MSI results showed strong correlation with whole-genome low-pass instability scores (LOGIC/MMRDness) and identified distinct microsatellite indel patterns that differentiated PMS2 variant carriers with an accuracy of 0.997. Higher hs-MSI scores were also associated with earlier age of tumor onset, highlighting its potential role as a biomarker for cancer risk stratification.
 Conclusion:This validated hs-MSI assay provides a robust and clinically feasible tool to support CMMRD diagnosis, distinguish PMS2 involvement, and personalize surveillance strategies.
 Reference:Marín F, Canet-Hermida J, Bianchi V, Chung J, Wimmer K, Foulkes W, et al. A Validated Highly Sensitive Microsatellite Instability Assay Accurately Identifies Individuals Harboring Biallelic Germline PMS2 Pathogenic Variants in Constitutional Mismatch Repair Deficiency. *Clinical Chemistry*. 2024;70(5):737–746. https://doi.org/10.1093/clinchem/hvae027
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2146487/c1a-p6xp7-5zo8rwp2h6jg-iidxpp.png"></itunes:image>
                                                                            <itunes:duration>00:16:59</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2146487/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[144: Revised time estimation of the ancestral human chromosome 2 fusion]]>
                </title>
                <pubDate>Sun, 21 Sep 2025 11:19:09 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2145974</guid>
                                    <link>https://basebybase.castos.com/episodes/revised-time-estimation-of-the-ancestral-human-chromosome-2-fus</link>
                                <description>
                                            <![CDATA[<p>️ Episode 144: Revised time estimation of the ancestral human chromosome 2 fusion</p>
<p> In this episode of PaperCast Base by Base, we explore a study that revisits one of the most defining events in human evolution: the fusion that gave rise to chromosome 2. This work refines previous estimates and provides a clearer timeline for when this pivotal genomic change occurred.</p>
<p> Study Highlights:<br />The authors developed an improved algorithm to analyze biased clustered substitutions, allowing more precise dating of genomic events. By comparing the genomes of humans with those of chimpanzees and bonobos, they estimated that the chromosome 2 fusion took place around 0.9 million years ago, with a confidence interval of 0.4 to 1.5 million years. Their findings suggest that this chromosomal event happened more recently than earlier studies had proposed, and the results also provide insights into evolutionary distances among great apes. The approach highlights how computational methods can refine our understanding of human speciation and the genetic divergence from our closest relatives.</p>
<p> Conclusion:<br />This study provides a sharper view of when the human chromosome 2 fusion occurred, offering new insights into the timing of our evolutionary history.</p>
<p> Reference:<br />Poszewiecka B, Gogolewski K, Stankiewicz P, Gambin A. Revised time estimation of the ancestral human chromosome 2 fusion. BMC Genomics. 2022;23:616. https://doi.org/10.1186/s12864-022-08828-7</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - The moment that set Modern Humans apart from Great apes</li><li>(00:02:33) - The HSA2 fusion event reconstruction</li><li>(00:06:53) - The New Clock for Human Genome Dating</li><li>(00:10:41) - UBCS: A More Precise Human Evolution Clock?</li><li>(00:16:33) - Coming soon: Base by Base</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 144: Revised time estimation of the ancestral human chromosome 2 fusion
 In this episode of PaperCast Base by Base, we explore a study that revisits one of the most defining events in human evolution: the fusion that gave rise to chromosome 2. This work refines previous estimates and provides a clearer timeline for when this pivotal genomic change occurred.
 Study Highlights:The authors developed an improved algorithm to analyze biased clustered substitutions, allowing more precise dating of genomic events. By comparing the genomes of humans with those of chimpanzees and bonobos, they estimated that the chromosome 2 fusion took place around 0.9 million years ago, with a confidence interval of 0.4 to 1.5 million years. Their findings suggest that this chromosomal event happened more recently than earlier studies had proposed, and the results also provide insights into evolutionary distances among great apes. The approach highlights how computational methods can refine our understanding of human speciation and the genetic divergence from our closest relatives.
 Conclusion:This study provides a sharper view of when the human chromosome 2 fusion occurred, offering new insights into the timing of our evolutionary history.
 Reference:Poszewiecka B, Gogolewski K, Stankiewicz P, Gambin A. Revised time estimation of the ancestral human chromosome 2 fusion. BMC Genomics. 2022;23:616. https://doi.org/10.1186/s12864-022-08828-7
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[144: Revised time estimation of the ancestral human chromosome 2 fusion]]>
                </itunes:title>
                                    <itunes:episode>144</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 144: Revised time estimation of the ancestral human chromosome 2 fusion</p>
<p> In this episode of PaperCast Base by Base, we explore a study that revisits one of the most defining events in human evolution: the fusion that gave rise to chromosome 2. This work refines previous estimates and provides a clearer timeline for when this pivotal genomic change occurred.</p>
<p> Study Highlights:<br />The authors developed an improved algorithm to analyze biased clustered substitutions, allowing more precise dating of genomic events. By comparing the genomes of humans with those of chimpanzees and bonobos, they estimated that the chromosome 2 fusion took place around 0.9 million years ago, with a confidence interval of 0.4 to 1.5 million years. Their findings suggest that this chromosomal event happened more recently than earlier studies had proposed, and the results also provide insights into evolutionary distances among great apes. The approach highlights how computational methods can refine our understanding of human speciation and the genetic divergence from our closest relatives.</p>
<p> Conclusion:<br />This study provides a sharper view of when the human chromosome 2 fusion occurred, offering new insights into the timing of our evolutionary history.</p>
<p> Reference:<br />Poszewiecka B, Gogolewski K, Stankiewicz P, Gambin A. Revised time estimation of the ancestral human chromosome 2 fusion. BMC Genomics. 2022;23:616. https://doi.org/10.1186/s12864-022-08828-7</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[️ Episode 144: Revised time estimation of the ancestral human chromosome 2 fusion
 In this episode of PaperCast Base by Base, we explore a study that revisits one of the most defining events in human evolution: the fusion that gave rise to chromosome 2. This work refines previous estimates and provides a clearer timeline for when this pivotal genomic change occurred.
 Study Highlights:The authors developed an improved algorithm to analyze biased clustered substitutions, allowing more precise dating of genomic events. By comparing the genomes of humans with those of chimpanzees and bonobos, they estimated that the chromosome 2 fusion took place around 0.9 million years ago, with a confidence interval of 0.4 to 1.5 million years. Their findings suggest that this chromosomal event happened more recently than earlier studies had proposed, and the results also provide insights into evolutionary distances among great apes. The approach highlights how computational methods can refine our understanding of human speciation and the genetic divergence from our closest relatives.
 Conclusion:This study provides a sharper view of when the human chromosome 2 fusion occurred, offering new insights into the timing of our evolutionary history.
 Reference:Poszewiecka B, Gogolewski K, Stankiewicz P, Gambin A. Revised time estimation of the ancestral human chromosome 2 fusion. BMC Genomics. 2022;23:616. https://doi.org/10.1186/s12864-022-08828-7
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2145974/c1a-p6xp7-v64k288ou983-wctuzj.png"></itunes:image>
                                                                            <itunes:duration>00:17:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2145974/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[143: The genetic history of the Southern Caucasus: 5,000 years of continuity despite high mobility]]>
                </title>
                <pubDate>Sat, 20 Sep 2025 09:44:21 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2145516</guid>
                                    <link>https://basebybase.castos.com/episodes/genetic-history-southern-caucasus</link>
                                <description>
                                            <![CDATA[<p>️ Episode 143: The genetic history of the Southern Caucasus: 5,000 years of continuity despite high mobility</p>
<p> In this episode of PaperCast Base by Base, we explore a comprehensive archaeogenomic study tracing 230 ancient individuals from Georgia and Armenia over 5,000 years, from the Bronze Age to the Early Middle Ages. The research investigates how extensive mobility and cultural interactions shaped the genetic landscape of the Southern Caucasus.</p>
<p> Study Highlights:<br />The analysis of genome-wide data revealed a remarkably persistent local gene pool across millennia, even as populations absorbed ancestry from Anatolia, Iran, and the Eurasian Steppe during the Middle to Late Bronze Age. Evidence of population growth and increased diversity emerged in urban centers of eastern Georgia, where individual ancestry outliers were most frequent. The study also examined 21 individuals with artificially deformed skulls, showing that while the practice arrived with nomadic Steppe groups, it was quickly adopted as a local cultural tradition. By integrating haplotype sharing and runs of homozygosity, the researchers uncovered contrasting social structures between urban hubs with high diversity and rural communities with stronger endogamy.</p>
<p> Conclusion:<br />This study demonstrates that despite high levels of mobility and external influences, the Southern Caucasus maintained a core genetic continuity that highlights the resilience of local populations while providing new insights into cultural and demographic shifts.</p>
<p> Reference:<br />Skourtanioti E, Jia X, Tavartkiladze N, Bitadze L, Shengelia R, Tushabramishvili N, Aslanishvili V, Gasparyan B, Kandel AW, Naumann D, et al. The genetic history of the Southern Caucasus from the Bronze Age to the Early Middle Ages: 5,000 years of genetic continuity despite high mobility. Cell. 2025 Sep 18;188(19):5278–5294. doi:10.1016/j.cell.2025.07.013</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 143: The genetic history of the Southern Caucasus: 5,000 years of continuity despite high mobility
 In this episode of PaperCast Base by Base, we explore a comprehensive archaeogenomic study tracing 230 ancient individuals from Georgia and Armenia over 5,000 years, from the Bronze Age to the Early Middle Ages. The research investigates how extensive mobility and cultural interactions shaped the genetic landscape of the Southern Caucasus.
 Study Highlights:The analysis of genome-wide data revealed a remarkably persistent local gene pool across millennia, even as populations absorbed ancestry from Anatolia, Iran, and the Eurasian Steppe during the Middle to Late Bronze Age. Evidence of population growth and increased diversity emerged in urban centers of eastern Georgia, where individual ancestry outliers were most frequent. The study also examined 21 individuals with artificially deformed skulls, showing that while the practice arrived with nomadic Steppe groups, it was quickly adopted as a local cultural tradition. By integrating haplotype sharing and runs of homozygosity, the researchers uncovered contrasting social structures between urban hubs with high diversity and rural communities with stronger endogamy.
 Conclusion:This study demonstrates that despite high levels of mobility and external influences, the Southern Caucasus maintained a core genetic continuity that highlights the resilience of local populations while providing new insights into cultural and demographic shifts.
 Reference:Skourtanioti E, Jia X, Tavartkiladze N, Bitadze L, Shengelia R, Tushabramishvili N, Aslanishvili V, Gasparyan B, Kandel AW, Naumann D, et al. The genetic history of the Southern Caucasus from the Bronze Age to the Early Middle Ages: 5,000 years of genetic continuity despite high mobility. Cell. 2025 Sep 18;188(19):5278–5294. doi:10.1016/j.cell.2025.07.013
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[143: The genetic history of the Southern Caucasus: 5,000 years of continuity despite high mobility]]>
                </itunes:title>
                                    <itunes:episode>143</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 143: The genetic history of the Southern Caucasus: 5,000 years of continuity despite high mobility</p>
<p> In this episode of PaperCast Base by Base, we explore a comprehensive archaeogenomic study tracing 230 ancient individuals from Georgia and Armenia over 5,000 years, from the Bronze Age to the Early Middle Ages. The research investigates how extensive mobility and cultural interactions shaped the genetic landscape of the Southern Caucasus.</p>
<p> Study Highlights:<br />The analysis of genome-wide data revealed a remarkably persistent local gene pool across millennia, even as populations absorbed ancestry from Anatolia, Iran, and the Eurasian Steppe during the Middle to Late Bronze Age. Evidence of population growth and increased diversity emerged in urban centers of eastern Georgia, where individual ancestry outliers were most frequent. The study also examined 21 individuals with artificially deformed skulls, showing that while the practice arrived with nomadic Steppe groups, it was quickly adopted as a local cultural tradition. By integrating haplotype sharing and runs of homozygosity, the researchers uncovered contrasting social structures between urban hubs with high diversity and rural communities with stronger endogamy.</p>
<p> Conclusion:<br />This study demonstrates that despite high levels of mobility and external influences, the Southern Caucasus maintained a core genetic continuity that highlights the resilience of local populations while providing new insights into cultural and demographic shifts.</p>
<p> Reference:<br />Skourtanioti E, Jia X, Tavartkiladze N, Bitadze L, Shengelia R, Tushabramishvili N, Aslanishvili V, Gasparyan B, Kandel AW, Naumann D, et al. The genetic history of the Southern Caucasus from the Bronze Age to the Early Middle Ages: 5,000 years of genetic continuity despite high mobility. Cell. 2025 Sep 18;188(19):5278–5294. doi:10.1016/j.cell.2025.07.013</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                    <![CDATA[️ Episode 143: The genetic history of the Southern Caucasus: 5,000 years of continuity despite high mobility
 In this episode of PaperCast Base by Base, we explore a comprehensive archaeogenomic study tracing 230 ancient individuals from Georgia and Armenia over 5,000 years, from the Bronze Age to the Early Middle Ages. The research investigates how extensive mobility and cultural interactions shaped the genetic landscape of the Southern Caucasus.
 Study Highlights:The analysis of genome-wide data revealed a remarkably persistent local gene pool across millennia, even as populations absorbed ancestry from Anatolia, Iran, and the Eurasian Steppe during the Middle to Late Bronze Age. Evidence of population growth and increased diversity emerged in urban centers of eastern Georgia, where individual ancestry outliers were most frequent. The study also examined 21 individuals with artificially deformed skulls, showing that while the practice arrived with nomadic Steppe groups, it was quickly adopted as a local cultural tradition. By integrating haplotype sharing and runs of homozygosity, the researchers uncovered contrasting social structures between urban hubs with high diversity and rural communities with stronger endogamy.
 Conclusion:This study demonstrates that despite high levels of mobility and external influences, the Southern Caucasus maintained a core genetic continuity that highlights the resilience of local populations while providing new insights into cultural and demographic shifts.
 Reference:Skourtanioti E, Jia X, Tavartkiladze N, Bitadze L, Shengelia R, Tushabramishvili N, Aslanishvili V, Gasparyan B, Kandel AW, Naumann D, et al. The genetic history of the Southern Caucasus from the Bronze Age to the Early Middle Ages: 5,000 years of genetic continuity despite high mobility. Cell. 2025 Sep 18;188(19):5278–5294. doi:10.1016/j.cell.2025.07.013
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:18:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[142: Specifications of the ACMG/AMP Guidelines for PALB2 Variant Interpretation]]>
                </title>
                <pubDate>Fri, 19 Sep 2025 08:05:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2144252</guid>
                                    <link>https://basebybase.castos.com/episodes/specifications-of-the-acmg-amp-guidelines-for-palb2-variant-int</link>
                                <description>
                                            <![CDATA[<p>️ Episode 142: Specifications of the ACMG/AMP Guidelines for PALB2 Variant Interpretation</p>
<p> In this episode of PaperCast Base by Base, we explore how the Hereditary Breast, Ovarian, and Pancreatic Cancer Variant Curation Expert Panel (HBOP VCEP) developed gene-specific ACMG/AMP guidelines for the interpretation of PALB2 germline sequence variants, a key gene in hereditary cancer syndromes.</p>
<p> Study Highlights:<br />The HBOP VCEP assembled an international team of experts to refine the 2015 ACMG/AMP framework specifically for PALB2, a tumor suppressor gene involved in homologous recombination repair. They systematically reviewed 28 evidence codes, advising against the use of 13, limiting six, and tailoring nine to account for PALB2-specific biology. These specifications were validated through the curation of 39 pilot variants, achieving 84% concordance with ClinVar entries and leading to the reclassification of several variants of uncertain significance. The work emphasized the rarity of pathogenic missense variation in PALB2, focusing instead on loss-of-function mechanisms and evidence-based population frequency cutoffs.</p>
<p> Conclusion:<br />These conservative, PALB2-specific guidelines enhance the accuracy and consistency of variant classification, improving genetic counseling and risk management for individuals with PALB2-related cancer predisposition.</p>
<p> Reference:<br />Richardson, M.E., Bishop, M.F.H., Holdren, M.A., de la Hoya, M., Spurdle, A.B., Tavtigian, S.V., Brannan, T., Young, C.C., Zec, L., Hiraki, S., Turnbull, C., Tischkowitz, M., Bernstein, K.A., Masson, J.-Y., McNulty, S.M., Pesaran, T., Monteiro, A.N., Walker, L.C., Foulkes, W.D., &amp; Couch, F.J. (2025). Specifications of the ACMG/AMP variant curation guidelines for the analysis of germline PALB2 sequence variants. *The American Journal of Human Genetics*, 112(10), 1–15. https://doi.org/10.1016/j.ajhg.2025.08.020</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 142: Specifications of the ACMG/AMP Guidelines for PALB2 Variant Interpretation
 In this episode of PaperCast Base by Base, we explore how the Hereditary Breast, Ovarian, and Pancreatic Cancer Variant Curation Expert Panel (HBOP VCEP) developed gene-specific ACMG/AMP guidelines for the interpretation of PALB2 germline sequence variants, a key gene in hereditary cancer syndromes.
 Study Highlights:The HBOP VCEP assembled an international team of experts to refine the 2015 ACMG/AMP framework specifically for PALB2, a tumor suppressor gene involved in homologous recombination repair. They systematically reviewed 28 evidence codes, advising against the use of 13, limiting six, and tailoring nine to account for PALB2-specific biology. These specifications were validated through the curation of 39 pilot variants, achieving 84% concordance with ClinVar entries and leading to the reclassification of several variants of uncertain significance. The work emphasized the rarity of pathogenic missense variation in PALB2, focusing instead on loss-of-function mechanisms and evidence-based population frequency cutoffs.
 Conclusion:These conservative, PALB2-specific guidelines enhance the accuracy and consistency of variant classification, improving genetic counseling and risk management for individuals with PALB2-related cancer predisposition.
 Reference:Richardson, M.E., Bishop, M.F.H., Holdren, M.A., de la Hoya, M., Spurdle, A.B., Tavtigian, S.V., Brannan, T., Young, C.C., Zec, L., Hiraki, S., Turnbull, C., Tischkowitz, M., Bernstein, K.A., Masson, J.-Y., McNulty, S.M., Pesaran, T., Monteiro, A.N., Walker, L.C., Foulkes, W.D., & Couch, F.J. (2025). Specifications of the ACMG/AMP variant curation guidelines for the analysis of germline PALB2 sequence variants. *The American Journal of Human Genetics*, 112(10), 1–15. https://doi.org/10.1016/j.ajhg.2025.08.020
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[142: Specifications of the ACMG/AMP Guidelines for PALB2 Variant Interpretation]]>
                </itunes:title>
                                    <itunes:episode>142</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                <content:encoded>
                    <![CDATA[<p>️ Episode 142: Specifications of the ACMG/AMP Guidelines for PALB2 Variant Interpretation</p>
<p> In this episode of PaperCast Base by Base, we explore how the Hereditary Breast, Ovarian, and Pancreatic Cancer Variant Curation Expert Panel (HBOP VCEP) developed gene-specific ACMG/AMP guidelines for the interpretation of PALB2 germline sequence variants, a key gene in hereditary cancer syndromes.</p>
<p> Study Highlights:<br />The HBOP VCEP assembled an international team of experts to refine the 2015 ACMG/AMP framework specifically for PALB2, a tumor suppressor gene involved in homologous recombination repair. They systematically reviewed 28 evidence codes, advising against the use of 13, limiting six, and tailoring nine to account for PALB2-specific biology. These specifications were validated through the curation of 39 pilot variants, achieving 84% concordance with ClinVar entries and leading to the reclassification of several variants of uncertain significance. The work emphasized the rarity of pathogenic missense variation in PALB2, focusing instead on loss-of-function mechanisms and evidence-based population frequency cutoffs.</p>
<p> Conclusion:<br />These conservative, PALB2-specific guidelines enhance the accuracy and consistency of variant classification, improving genetic counseling and risk management for individuals with PALB2-related cancer predisposition.</p>
<p> Reference:<br />Richardson, M.E., Bishop, M.F.H., Holdren, M.A., de la Hoya, M., Spurdle, A.B., Tavtigian, S.V., Brannan, T., Young, C.C., Zec, L., Hiraki, S., Turnbull, C., Tischkowitz, M., Bernstein, K.A., Masson, J.-Y., McNulty, S.M., Pesaran, T., Monteiro, A.N., Walker, L.C., Foulkes, W.D., &amp; Couch, F.J. (2025). Specifications of the ACMG/AMP variant curation guidelines for the analysis of germline PALB2 sequence variants. *The American Journal of Human Genetics*, 112(10), 1–15. https://doi.org/10.1016/j.ajhg.2025.08.020</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 142: Specifications of the ACMG/AMP Guidelines for PALB2 Variant Interpretation
 In this episode of PaperCast Base by Base, we explore how the Hereditary Breast, Ovarian, and Pancreatic Cancer Variant Curation Expert Panel (HBOP VCEP) developed gene-specific ACMG/AMP guidelines for the interpretation of PALB2 germline sequence variants, a key gene in hereditary cancer syndromes.
 Study Highlights:The HBOP VCEP assembled an international team of experts to refine the 2015 ACMG/AMP framework specifically for PALB2, a tumor suppressor gene involved in homologous recombination repair. They systematically reviewed 28 evidence codes, advising against the use of 13, limiting six, and tailoring nine to account for PALB2-specific biology. These specifications were validated through the curation of 39 pilot variants, achieving 84% concordance with ClinVar entries and leading to the reclassification of several variants of uncertain significance. The work emphasized the rarity of pathogenic missense variation in PALB2, focusing instead on loss-of-function mechanisms and evidence-based population frequency cutoffs.
 Conclusion:These conservative, PALB2-specific guidelines enhance the accuracy and consistency of variant classification, improving genetic counseling and risk management for individuals with PALB2-related cancer predisposition.
 Reference:Richardson, M.E., Bishop, M.F.H., Holdren, M.A., de la Hoya, M., Spurdle, A.B., Tavtigian, S.V., Brannan, T., Young, C.C., Zec, L., Hiraki, S., Turnbull, C., Tischkowitz, M., Bernstein, K.A., Masson, J.-Y., McNulty, S.M., Pesaran, T., Monteiro, A.N., Walker, L.C., Foulkes, W.D., & Couch, F.J. (2025). Specifications of the ACMG/AMP variant curation guidelines for the analysis of germline PALB2 sequence variants. *The American Journal of Human Genetics*, 112(10), 1–15. https://doi.org/10.1016/j.ajhg.2025.08.020
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2144252/c1a-p6xp7-5zo6rxn3hnzd-yx0bra.png"></itunes:image>
                                                                            <itunes:duration>00:16:35</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[141: RetiGene, a comprehensive gene atlas for inherited retinal diseases]]>
                </title>
                <pubDate>Thu, 18 Sep 2025 08:57:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2144249</guid>
                                    <link>https://basebybase.castos.com/episodes/retigene-gene-atlas-inherited-retinal-diseases</link>
                                <description>
                                            <![CDATA[<p>️ Episode 141: RetiGene, a comprehensive gene atlas for inherited retinal diseases</p>
<p> In this episode of PaperCast Base by Base, we explore RetiGene, an expert-curated resource that consolidates genetic, transcriptomic, and functional information on inherited retinal diseases (IRDs). The study highlights the urgent need for a unified gene catalog to guide diagnosis and research in one of the most genetically heterogeneous groups of human disorders.</p>
<p> Study Highlights:<br />The authors identified and curated 470 genes strongly associated with IRDs, supported by extensive literature review, variant databases, and gene expression data. Another 196 genes were classified as candidate genes, while 17 were excluded due to insufficient or conflicting evidence. Phenotypic classification revealed associations across both syndromic and non-syndromic forms, with most genes showing autosomal recessive inheritance. Integration of bulk and single-cell RNA sequencing data revealed cell-type specificity of many genes, particularly in photoreceptors and retinal pigment epithelium, clarifying genotype-phenotype relationships. The database also distinguishes genes with solid evidence from those previously misattributed, providing a refined tool for diagnostics and research.</p>
<p> Conclusion:<br />RetiGene offers an updated, freely accessible gene atlas that improves genetic testing, supports functional studies, and enables future therapeutic development for inherited retinal diseases.</p>
<p> Reference:<br />Rivolta, C., Celik, E., Kamdar, D., Cancellieri, F., Kaminska, K., Ullah, M., Barberán-Martínez, P., Bouckaert, M., Cortón, M., Delanote, E., et al. (2025). RetiGene, a comprehensive gene atlas for inherited retinal diseases. *The American Journal of Human Genetics*, 112(10), 1–13. https://doi.org/10.1016/j.ajhg.2025.08.017</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 141: RetiGene, a comprehensive gene atlas for inherited retinal diseases
 In this episode of PaperCast Base by Base, we explore RetiGene, an expert-curated resource that consolidates genetic, transcriptomic, and functional information on inherited retinal diseases (IRDs). The study highlights the urgent need for a unified gene catalog to guide diagnosis and research in one of the most genetically heterogeneous groups of human disorders.
 Study Highlights:The authors identified and curated 470 genes strongly associated with IRDs, supported by extensive literature review, variant databases, and gene expression data. Another 196 genes were classified as candidate genes, while 17 were excluded due to insufficient or conflicting evidence. Phenotypic classification revealed associations across both syndromic and non-syndromic forms, with most genes showing autosomal recessive inheritance. Integration of bulk and single-cell RNA sequencing data revealed cell-type specificity of many genes, particularly in photoreceptors and retinal pigment epithelium, clarifying genotype-phenotype relationships. The database also distinguishes genes with solid evidence from those previously misattributed, providing a refined tool for diagnostics and research.
 Conclusion:RetiGene offers an updated, freely accessible gene atlas that improves genetic testing, supports functional studies, and enables future therapeutic development for inherited retinal diseases.
 Reference:Rivolta, C., Celik, E., Kamdar, D., Cancellieri, F., Kaminska, K., Ullah, M., Barberán-Martínez, P., Bouckaert, M., Cortón, M., Delanote, E., et al. (2025). RetiGene, a comprehensive gene atlas for inherited retinal diseases. *The American Journal of Human Genetics*, 112(10), 1–13. https://doi.org/10.1016/j.ajhg.2025.08.017
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                <itunes:title>
                    <![CDATA[141: RetiGene, a comprehensive gene atlas for inherited retinal diseases]]>
                </itunes:title>
                                    <itunes:episode>141</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 141: RetiGene, a comprehensive gene atlas for inherited retinal diseases</p>
<p> In this episode of PaperCast Base by Base, we explore RetiGene, an expert-curated resource that consolidates genetic, transcriptomic, and functional information on inherited retinal diseases (IRDs). The study highlights the urgent need for a unified gene catalog to guide diagnosis and research in one of the most genetically heterogeneous groups of human disorders.</p>
<p> Study Highlights:<br />The authors identified and curated 470 genes strongly associated with IRDs, supported by extensive literature review, variant databases, and gene expression data. Another 196 genes were classified as candidate genes, while 17 were excluded due to insufficient or conflicting evidence. Phenotypic classification revealed associations across both syndromic and non-syndromic forms, with most genes showing autosomal recessive inheritance. Integration of bulk and single-cell RNA sequencing data revealed cell-type specificity of many genes, particularly in photoreceptors and retinal pigment epithelium, clarifying genotype-phenotype relationships. The database also distinguishes genes with solid evidence from those previously misattributed, providing a refined tool for diagnostics and research.</p>
<p> Conclusion:<br />RetiGene offers an updated, freely accessible gene atlas that improves genetic testing, supports functional studies, and enables future therapeutic development for inherited retinal diseases.</p>
<p> Reference:<br />Rivolta, C., Celik, E., Kamdar, D., Cancellieri, F., Kaminska, K., Ullah, M., Barberán-Martínez, P., Bouckaert, M., Cortón, M., Delanote, E., et al. (2025). RetiGene, a comprehensive gene atlas for inherited retinal diseases. *The American Journal of Human Genetics*, 112(10), 1–13. https://doi.org/10.1016/j.ajhg.2025.08.017</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 141: RetiGene, a comprehensive gene atlas for inherited retinal diseases
 In this episode of PaperCast Base by Base, we explore RetiGene, an expert-curated resource that consolidates genetic, transcriptomic, and functional information on inherited retinal diseases (IRDs). The study highlights the urgent need for a unified gene catalog to guide diagnosis and research in one of the most genetically heterogeneous groups of human disorders.
 Study Highlights:The authors identified and curated 470 genes strongly associated with IRDs, supported by extensive literature review, variant databases, and gene expression data. Another 196 genes were classified as candidate genes, while 17 were excluded due to insufficient or conflicting evidence. Phenotypic classification revealed associations across both syndromic and non-syndromic forms, with most genes showing autosomal recessive inheritance. Integration of bulk and single-cell RNA sequencing data revealed cell-type specificity of many genes, particularly in photoreceptors and retinal pigment epithelium, clarifying genotype-phenotype relationships. The database also distinguishes genes with solid evidence from those previously misattributed, providing a refined tool for diagnostics and research.
 Conclusion:RetiGene offers an updated, freely accessible gene atlas that improves genetic testing, supports functional studies, and enables future therapeutic development for inherited retinal diseases.
 Reference:Rivolta, C., Celik, E., Kamdar, D., Cancellieri, F., Kaminska, K., Ullah, M., Barberán-Martínez, P., Bouckaert, M., Cortón, M., Delanote, E., et al. (2025). RetiGene, a comprehensive gene atlas for inherited retinal diseases. *The American Journal of Human Genetics*, 112(10), 1–13. https://doi.org/10.1016/j.ajhg.2025.08.017
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2144249/c1a-p6xp7-ndz8jn19tz9-ydvg4j.png"></itunes:image>
                                                                            <itunes:duration>00:26:12</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[140: Landscapes of missense variant impact for human superoxide dismutase 1]]>
                </title>
                <pubDate>Wed, 17 Sep 2025 09:15:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2144115</guid>
                                    <link>https://basebybase.castos.com/episodes/landscapes-of-missense-variant-impact-for-human-superoxide-dism</link>
                                <description>
                                            <![CDATA[<p>️ Episode 140: Landscapes of missense variant impact for human superoxide dismutase 1</p>
<p> In this episode of PaperCast Base by Base, we explore a large-scale functional analysis of missense variants in SOD1, a key gene implicated in amyotrophic lateral sclerosis (ALS). The study addresses the challenge of classifying variants of uncertain significance by systematically testing their functional impact across nearly all possible amino acid substitutions.</p>
<p> Study Highlights:<br />Using saturation mutagenesis combined with multiplexed yeast and human cell-based assays, researchers generated variant-effect maps covering 86% of all possible SOD1 missense variants. These maps measure both enzymatic activity and protein abundance, capturing functional effects that align with known biochemical features of SOD1. The results show that many variants exhibit damaging effects, while others remain tolerated, and importantly, the abundance assay provided new evidence to reclassify 41% of variants previously listed as uncertain. Structural and computational analyses further revealed insights into sequence-structure-function relationships, including metal binding, dimerization, and stability. Together, these findings demonstrate that large-scale variant-effect maps can provide critical evidence for clinical interpretation of SOD1 variants.</p>
<p> Conclusion:<br />This study highlights how systematic functional assays can accelerate variant classification in ALS and support more precise genetic diagnoses and therapeutic decisions.</p>
<p> Reference:<br />Axakova A, Ding M, Cote AG, Subramaniam R, Senguttuvan V, Zhang H, Weile J, Douville SV, Gebbia M, Al-Chalabi A, Wahl A, Reuter J, Hurt J, Mitchell AA, Fradette S, Andersen PM, van Loggerenberg W, Roth FP. Landscapes of missense variant impact for human superoxide dismutase 1. *Am J Hum Genet*. 2025 Oct 2;112(10):1-21. doi:10.1016/j.ajhg.2025.08.019</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 140: Landscapes of missense variant impact for human superoxide dismutase 1
 In this episode of PaperCast Base by Base, we explore a large-scale functional analysis of missense variants in SOD1, a key gene implicated in amyotrophic lateral sclerosis (ALS). The study addresses the challenge of classifying variants of uncertain significance by systematically testing their functional impact across nearly all possible amino acid substitutions.
 Study Highlights:Using saturation mutagenesis combined with multiplexed yeast and human cell-based assays, researchers generated variant-effect maps covering 86% of all possible SOD1 missense variants. These maps measure both enzymatic activity and protein abundance, capturing functional effects that align with known biochemical features of SOD1. The results show that many variants exhibit damaging effects, while others remain tolerated, and importantly, the abundance assay provided new evidence to reclassify 41% of variants previously listed as uncertain. Structural and computational analyses further revealed insights into sequence-structure-function relationships, including metal binding, dimerization, and stability. Together, these findings demonstrate that large-scale variant-effect maps can provide critical evidence for clinical interpretation of SOD1 variants.
 Conclusion:This study highlights how systematic functional assays can accelerate variant classification in ALS and support more precise genetic diagnoses and therapeutic decisions.
 Reference:Axakova A, Ding M, Cote AG, Subramaniam R, Senguttuvan V, Zhang H, Weile J, Douville SV, Gebbia M, Al-Chalabi A, Wahl A, Reuter J, Hurt J, Mitchell AA, Fradette S, Andersen PM, van Loggerenberg W, Roth FP. Landscapes of missense variant impact for human superoxide dismutase 1. *Am J Hum Genet*. 2025 Oct 2;112(10):1-21. doi:10.1016/j.ajhg.2025.08.019
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[140: Landscapes of missense variant impact for human superoxide dismutase 1]]>
                </itunes:title>
                                    <itunes:episode>140</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 140: Landscapes of missense variant impact for human superoxide dismutase 1</p>
<p> In this episode of PaperCast Base by Base, we explore a large-scale functional analysis of missense variants in SOD1, a key gene implicated in amyotrophic lateral sclerosis (ALS). The study addresses the challenge of classifying variants of uncertain significance by systematically testing their functional impact across nearly all possible amino acid substitutions.</p>
<p> Study Highlights:<br />Using saturation mutagenesis combined with multiplexed yeast and human cell-based assays, researchers generated variant-effect maps covering 86% of all possible SOD1 missense variants. These maps measure both enzymatic activity and protein abundance, capturing functional effects that align with known biochemical features of SOD1. The results show that many variants exhibit damaging effects, while others remain tolerated, and importantly, the abundance assay provided new evidence to reclassify 41% of variants previously listed as uncertain. Structural and computational analyses further revealed insights into sequence-structure-function relationships, including metal binding, dimerization, and stability. Together, these findings demonstrate that large-scale variant-effect maps can provide critical evidence for clinical interpretation of SOD1 variants.</p>
<p> Conclusion:<br />This study highlights how systematic functional assays can accelerate variant classification in ALS and support more precise genetic diagnoses and therapeutic decisions.</p>
<p> Reference:<br />Axakova A, Ding M, Cote AG, Subramaniam R, Senguttuvan V, Zhang H, Weile J, Douville SV, Gebbia M, Al-Chalabi A, Wahl A, Reuter J, Hurt J, Mitchell AA, Fradette S, Andersen PM, van Loggerenberg W, Roth FP. Landscapes of missense variant impact for human superoxide dismutase 1. *Am J Hum Genet*. 2025 Oct 2;112(10):1-21. doi:10.1016/j.ajhg.2025.08.019</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 140: Landscapes of missense variant impact for human superoxide dismutase 1
 In this episode of PaperCast Base by Base, we explore a large-scale functional analysis of missense variants in SOD1, a key gene implicated in amyotrophic lateral sclerosis (ALS). The study addresses the challenge of classifying variants of uncertain significance by systematically testing their functional impact across nearly all possible amino acid substitutions.
 Study Highlights:Using saturation mutagenesis combined with multiplexed yeast and human cell-based assays, researchers generated variant-effect maps covering 86% of all possible SOD1 missense variants. These maps measure both enzymatic activity and protein abundance, capturing functional effects that align with known biochemical features of SOD1. The results show that many variants exhibit damaging effects, while others remain tolerated, and importantly, the abundance assay provided new evidence to reclassify 41% of variants previously listed as uncertain. Structural and computational analyses further revealed insights into sequence-structure-function relationships, including metal binding, dimerization, and stability. Together, these findings demonstrate that large-scale variant-effect maps can provide critical evidence for clinical interpretation of SOD1 variants.
 Conclusion:This study highlights how systematic functional assays can accelerate variant classification in ALS and support more precise genetic diagnoses and therapeutic decisions.
 Reference:Axakova A, Ding M, Cote AG, Subramaniam R, Senguttuvan V, Zhang H, Weile J, Douville SV, Gebbia M, Al-Chalabi A, Wahl A, Reuter J, Hurt J, Mitchell AA, Fradette S, Andersen PM, van Loggerenberg W, Roth FP. Landscapes of missense variant impact for human superoxide dismutase 1. *Am J Hum Genet*. 2025 Oct 2;112(10):1-21. doi:10.1016/j.ajhg.2025.08.019
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2144115/c1a-p6xp7-34765rgpfg9q-qsgapm.png"></itunes:image>
                                                                            <itunes:duration>00:20:18</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[139: MosCoverY: A new method to estimate mosaic loss of Y chromosome from sequencing coverage data]]>
                </title>
                <pubDate>Tue, 16 Sep 2025 09:03:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2144111</guid>
                                    <link>https://basebybase.castos.com/episodes/moscovery-mosaic-loss-y-chromosome</link>
                                <description>
                                            <![CDATA[<p>️ Episode 139: MosCoverY: A new method to estimate mosaic loss of Y chromosome from sequencing coverage data</p>
<p> In this episode of PaperCast Base by Base, we explore the development of MosCoverY, a computational method designed to detect and quantify mosaic loss of the Y chromosome (mLOY) from exome and whole-genome sequencing data. This condition, the most common somatic mutation in men, is strongly linked with aging and several diseases.</p>
<p> Study Highlights:<br />The researchers introduced MosCoverY, a tool that focuses on single-copy genes of the Y chromosome and normalizes their coverage against carefully matched autosomal exons. They applied it to more than 212,000 male participants in the UK Biobank and demonstrated its accuracy by replicating associations of mLOY with age, smoking, mortality, and known germline loci. The method was also validated in tumor samples from The Cancer Genome Atlas, revealing variable prevalence of mLOY across cancer types. MosCoverY proved robust even at lower sequencing depths and can be applied to both large cohorts and single-sample analyses, making it versatile for population genetics and clinical research.</p>
<p> Conclusion:<br />MosCoverY provides a scalable and reliable approach to study mLOY in genomic datasets, opening opportunities for insights into age-related disease risk and male-specific health outcomes.</p>
<p> Reference:<br />Timonina V, Marchal A, Abel L, Cobat A, Fellay J. MosCoverY: A method to estimate mosaic loss of Y chromosome from sequencing coverage data. The American Journal of Human Genetics. 2025 Oct 2;112(1):1-11. doi:10.1016/j.ajhg.2025.08.016</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p>Keywords: mLOY, exome sequencing, whole-genome sequencing, aging, MosCoverY</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 139: MosCoverY: A new method to estimate mosaic loss of Y chromosome from sequencing coverage data
 In this episode of PaperCast Base by Base, we explore the development of MosCoverY, a computational method designed to detect and quantify mosaic loss of the Y chromosome (mLOY) from exome and whole-genome sequencing data. This condition, the most common somatic mutation in men, is strongly linked with aging and several diseases.
 Study Highlights:The researchers introduced MosCoverY, a tool that focuses on single-copy genes of the Y chromosome and normalizes their coverage against carefully matched autosomal exons. They applied it to more than 212,000 male participants in the UK Biobank and demonstrated its accuracy by replicating associations of mLOY with age, smoking, mortality, and known germline loci. The method was also validated in tumor samples from The Cancer Genome Atlas, revealing variable prevalence of mLOY across cancer types. MosCoverY proved robust even at lower sequencing depths and can be applied to both large cohorts and single-sample analyses, making it versatile for population genetics and clinical research.
 Conclusion:MosCoverY provides a scalable and reliable approach to study mLOY in genomic datasets, opening opportunities for insights into age-related disease risk and male-specific health outcomes.
 Reference:Timonina V, Marchal A, Abel L, Cobat A, Fellay J. MosCoverY: A method to estimate mosaic loss of Y chromosome from sequencing coverage data. The American Journal of Human Genetics. 2025 Oct 2;112(1):1-11. doi:10.1016/j.ajhg.2025.08.016
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
Keywords: mLOY, exome sequencing, whole-genome sequencing, aging, MosCoverY]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[139: MosCoverY: A new method to estimate mosaic loss of Y chromosome from sequencing coverage data]]>
                </itunes:title>
                                    <itunes:episode>139</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 139: MosCoverY: A new method to estimate mosaic loss of Y chromosome from sequencing coverage data</p>
<p> In this episode of PaperCast Base by Base, we explore the development of MosCoverY, a computational method designed to detect and quantify mosaic loss of the Y chromosome (mLOY) from exome and whole-genome sequencing data. This condition, the most common somatic mutation in men, is strongly linked with aging and several diseases.</p>
<p> Study Highlights:<br />The researchers introduced MosCoverY, a tool that focuses on single-copy genes of the Y chromosome and normalizes their coverage against carefully matched autosomal exons. They applied it to more than 212,000 male participants in the UK Biobank and demonstrated its accuracy by replicating associations of mLOY with age, smoking, mortality, and known germline loci. The method was also validated in tumor samples from The Cancer Genome Atlas, revealing variable prevalence of mLOY across cancer types. MosCoverY proved robust even at lower sequencing depths and can be applied to both large cohorts and single-sample analyses, making it versatile for population genetics and clinical research.</p>
<p> Conclusion:<br />MosCoverY provides a scalable and reliable approach to study mLOY in genomic datasets, opening opportunities for insights into age-related disease risk and male-specific health outcomes.</p>
<p> Reference:<br />Timonina V, Marchal A, Abel L, Cobat A, Fellay J. MosCoverY: A method to estimate mosaic loss of Y chromosome from sequencing coverage data. The American Journal of Human Genetics. 2025 Oct 2;112(1):1-11. doi:10.1016/j.ajhg.2025.08.016</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p>Keywords: mLOY, exome sequencing, whole-genome sequencing, aging, MosCoverY</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[️ Episode 139: MosCoverY: A new method to estimate mosaic loss of Y chromosome from sequencing coverage data
 In this episode of PaperCast Base by Base, we explore the development of MosCoverY, a computational method designed to detect and quantify mosaic loss of the Y chromosome (mLOY) from exome and whole-genome sequencing data. This condition, the most common somatic mutation in men, is strongly linked with aging and several diseases.
 Study Highlights:The researchers introduced MosCoverY, a tool that focuses on single-copy genes of the Y chromosome and normalizes their coverage against carefully matched autosomal exons. They applied it to more than 212,000 male participants in the UK Biobank and demonstrated its accuracy by replicating associations of mLOY with age, smoking, mortality, and known germline loci. The method was also validated in tumor samples from The Cancer Genome Atlas, revealing variable prevalence of mLOY across cancer types. MosCoverY proved robust even at lower sequencing depths and can be applied to both large cohorts and single-sample analyses, making it versatile for population genetics and clinical research.
 Conclusion:MosCoverY provides a scalable and reliable approach to study mLOY in genomic datasets, opening opportunities for insights into age-related disease risk and male-specific health outcomes.
 Reference:Timonina V, Marchal A, Abel L, Cobat A, Fellay J. MosCoverY: A method to estimate mosaic loss of Y chromosome from sequencing coverage data. The American Journal of Human Genetics. 2025 Oct 2;112(1):1-11. doi:10.1016/j.ajhg.2025.08.016
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
Keywords: mLOY, exome sequencing, whole-genome sequencing, aging, MosCoverY]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2144111/c1a-p6xp7-34765jo3iwwq-mhpeic.png"></itunes:image>
                                                                            <itunes:duration>00:14:03</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[138: Social exposome and brain health outcomes of dementia across Latin America]]>
                </title>
                <pubDate>Mon, 15 Sep 2025 09:09:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2140911</guid>
                                    <link>https://basebybase.castos.com/episodes/social-exposome-and-brain-health-outcomes-of-dementia-across-la</link>
                                <description>
                                            <![CDATA[<p>️ Episode 138: Social exposome and brain health outcomes of dementia across Latin America</p>
<p> In this episode of PaperCast Base by Base, we explore how a multidimensional social exposome across the lifespan—covering education, food insecurity, financial status, assets, access to healthcare, childhood labor, subjective socioeconomic status, childhood experiences, traumatic events, and relationships—relates to brain health and dementia outcomes in Latin America. The study analyzes 2,211 participants from Argentina, Brazil, Chile, Colombia, Mexico, and Peru, spanning healthy controls, Alzheimer’s disease, and frontotemporal lobar degeneration.</p>
<p> Study Highlights:<br />Researchers built a global multidimensional social exposome score using expert criteria, confirmatory factor analysis, and structural equation modeling, then evaluated its association with cognition, functional ability, neuropsychiatric symptoms, gray‑matter volume, and resting‑state connectivity. More adverse exposomes tracked with poorer cognition in healthy aging and with lower cognitive and functional performance plus higher neuropsychiatric symptoms in Alzheimer’s disease and frontotemporal lobar degeneration. The combined exposome measure outperformed single factors such as education or socioeconomic status proxies when predicting clinical–cognitive profiles. Brain analyses linked adverse exposomes to atrophy in frontal–temporo–limbic and cerebellar regions and to altered frontotemporal and limbic connectivity, suggesting cumulative social adversity burdens relevant neural systems.</p>
<p> Conclusion:<br />Integrating a multidimensional social exposome into dementia prevention and care can sharpen risk profiling and guide interventions that target social disparities across the lifespan.</p>
<p> Reference:<br />Migeot J, Pina‑Escudero SD, Hernandez H, Gonzalez‑Gomez R, Legaz A, Fittipaldi S, Resende E de PF, Duran‑Aniotz C, Avila‑Funes JA, Behrens MI, Bruno MA, Cardona JF, Custodio N, García AM, Godoy ME, Hu K, Lanata S, Lawlor B, Lopera F, Maito MA, Matallana DL, Miller B, Miranda JJ, Okada de Oliveira M, Reyes P, Santamaria‑Garcia H, Slachevsky A, Sosa AL, Takada LT, Torres JM, Vanneste S, Valcour V, Wen O, Yokoyama JS, Possin KL, Ibanez A. Social exposome and brain health outcomes of dementia across Latin America. Nature Communications. 2025;16:8196. https://doi.org/10.1038/s41467-025-63277-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p> </p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 138: Social exposome and brain health outcomes of dementia across Latin America
 In this episode of PaperCast Base by Base, we explore how a multidimensional social exposome across the lifespan—covering education, food insecurity, financial status, assets, access to healthcare, childhood labor, subjective socioeconomic status, childhood experiences, traumatic events, and relationships—relates to brain health and dementia outcomes in Latin America. The study analyzes 2,211 participants from Argentina, Brazil, Chile, Colombia, Mexico, and Peru, spanning healthy controls, Alzheimer’s disease, and frontotemporal lobar degeneration.
 Study Highlights:Researchers built a global multidimensional social exposome score using expert criteria, confirmatory factor analysis, and structural equation modeling, then evaluated its association with cognition, functional ability, neuropsychiatric symptoms, gray‑matter volume, and resting‑state connectivity. More adverse exposomes tracked with poorer cognition in healthy aging and with lower cognitive and functional performance plus higher neuropsychiatric symptoms in Alzheimer’s disease and frontotemporal lobar degeneration. The combined exposome measure outperformed single factors such as education or socioeconomic status proxies when predicting clinical–cognitive profiles. Brain analyses linked adverse exposomes to atrophy in frontal–temporo–limbic and cerebellar regions and to altered frontotemporal and limbic connectivity, suggesting cumulative social adversity burdens relevant neural systems.
 Conclusion:Integrating a multidimensional social exposome into dementia prevention and care can sharpen risk profiling and guide interventions that target social disparities across the lifespan.
 Reference:Migeot J, Pina‑Escudero SD, Hernandez H, Gonzalez‑Gomez R, Legaz A, Fittipaldi S, Resende E de PF, Duran‑Aniotz C, Avila‑Funes JA, Behrens MI, Bruno MA, Cardona JF, Custodio N, García AM, Godoy ME, Hu K, Lanata S, Lawlor B, Lopera F, Maito MA, Matallana DL, Miller B, Miranda JJ, Okada de Oliveira M, Reyes P, Santamaria‑Garcia H, Slachevsky A, Sosa AL, Takada LT, Torres JM, Vanneste S, Valcour V, Wen O, Yokoyama JS, Possin KL, Ibanez A. Social exposome and brain health outcomes of dementia across Latin America. Nature Communications. 2025;16:8196. https://doi.org/10.1038/s41467-025-63277-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[138: Social exposome and brain health outcomes of dementia across Latin America]]>
                </itunes:title>
                                    <itunes:episode>138</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 138: Social exposome and brain health outcomes of dementia across Latin America</p>
<p> In this episode of PaperCast Base by Base, we explore how a multidimensional social exposome across the lifespan—covering education, food insecurity, financial status, assets, access to healthcare, childhood labor, subjective socioeconomic status, childhood experiences, traumatic events, and relationships—relates to brain health and dementia outcomes in Latin America. The study analyzes 2,211 participants from Argentina, Brazil, Chile, Colombia, Mexico, and Peru, spanning healthy controls, Alzheimer’s disease, and frontotemporal lobar degeneration.</p>
<p> Study Highlights:<br />Researchers built a global multidimensional social exposome score using expert criteria, confirmatory factor analysis, and structural equation modeling, then evaluated its association with cognition, functional ability, neuropsychiatric symptoms, gray‑matter volume, and resting‑state connectivity. More adverse exposomes tracked with poorer cognition in healthy aging and with lower cognitive and functional performance plus higher neuropsychiatric symptoms in Alzheimer’s disease and frontotemporal lobar degeneration. The combined exposome measure outperformed single factors such as education or socioeconomic status proxies when predicting clinical–cognitive profiles. Brain analyses linked adverse exposomes to atrophy in frontal–temporo–limbic and cerebellar regions and to altered frontotemporal and limbic connectivity, suggesting cumulative social adversity burdens relevant neural systems.</p>
<p> Conclusion:<br />Integrating a multidimensional social exposome into dementia prevention and care can sharpen risk profiling and guide interventions that target social disparities across the lifespan.</p>
<p> Reference:<br />Migeot J, Pina‑Escudero SD, Hernandez H, Gonzalez‑Gomez R, Legaz A, Fittipaldi S, Resende E de PF, Duran‑Aniotz C, Avila‑Funes JA, Behrens MI, Bruno MA, Cardona JF, Custodio N, García AM, Godoy ME, Hu K, Lanata S, Lawlor B, Lopera F, Maito MA, Matallana DL, Miller B, Miranda JJ, Okada de Oliveira M, Reyes P, Santamaria‑Garcia H, Slachevsky A, Sosa AL, Takada LT, Torres JM, Vanneste S, Valcour V, Wen O, Yokoyama JS, Possin KL, Ibanez A. Social exposome and brain health outcomes of dementia across Latin America. Nature Communications. 2025;16:8196. https://doi.org/10.1038/s41467-025-63277-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p> </p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 138: Social exposome and brain health outcomes of dementia across Latin America
 In this episode of PaperCast Base by Base, we explore how a multidimensional social exposome across the lifespan—covering education, food insecurity, financial status, assets, access to healthcare, childhood labor, subjective socioeconomic status, childhood experiences, traumatic events, and relationships—relates to brain health and dementia outcomes in Latin America. The study analyzes 2,211 participants from Argentina, Brazil, Chile, Colombia, Mexico, and Peru, spanning healthy controls, Alzheimer’s disease, and frontotemporal lobar degeneration.
 Study Highlights:Researchers built a global multidimensional social exposome score using expert criteria, confirmatory factor analysis, and structural equation modeling, then evaluated its association with cognition, functional ability, neuropsychiatric symptoms, gray‑matter volume, and resting‑state connectivity. More adverse exposomes tracked with poorer cognition in healthy aging and with lower cognitive and functional performance plus higher neuropsychiatric symptoms in Alzheimer’s disease and frontotemporal lobar degeneration. The combined exposome measure outperformed single factors such as education or socioeconomic status proxies when predicting clinical–cognitive profiles. Brain analyses linked adverse exposomes to atrophy in frontal–temporo–limbic and cerebellar regions and to altered frontotemporal and limbic connectivity, suggesting cumulative social adversity burdens relevant neural systems.
 Conclusion:Integrating a multidimensional social exposome into dementia prevention and care can sharpen risk profiling and guide interventions that target social disparities across the lifespan.
 Reference:Migeot J, Pina‑Escudero SD, Hernandez H, Gonzalez‑Gomez R, Legaz A, Fittipaldi S, Resende E de PF, Duran‑Aniotz C, Avila‑Funes JA, Behrens MI, Bruno MA, Cardona JF, Custodio N, García AM, Godoy ME, Hu K, Lanata S, Lawlor B, Lopera F, Maito MA, Matallana DL, Miller B, Miranda JJ, Okada de Oliveira M, Reyes P, Santamaria‑Garcia H, Slachevsky A, Sosa AL, Takada LT, Torres JM, Vanneste S, Valcour V, Wen O, Yokoyama JS, Possin KL, Ibanez A. Social exposome and brain health outcomes of dementia across Latin America. Nature Communications. 2025;16:8196. https://doi.org/10.1038/s41467-025-63277-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:19:43</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[137: Rethinking RNA-binding proteins: Riboregulation challenges prevailing views]]>
                </title>
                <pubDate>Sun, 14 Sep 2025 22:22:19 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2140856</guid>
                                    <link>https://basebybase.castos.com/episodes/rethinking-rna-binding-proteins-riboregulation-challenges-preva</link>
                                <description>
                                            <![CDATA[<p>️ Episode 137: Rethinking RNA-binding proteins: Riboregulation challenges prevailing views</p>
<p><br /> In this episode of PaperCast Base by Base, we explore how a sweeping expansion of the RNA-binding proteome has reframed long‑held assumptions about RNA–protein interactions, spotlighting ‘non‑canonical’ RBPs and the emerging concept of riboregulation—RNA directly regulating protein function.</p>
<p><br /> Study Highlights:<br />The authors synthesize discovery platforms that tripled the number of candidate RBPs, including UV crosslinking–based interactome capture (RIC/eRIC), silica‑based workflows (TRAPP/2C), and organic‑phase methods (OOPS/XRNAX), together with mass spectrometry to map RNA‑binding regions across the proteome. They show that intrinsically disordered regions and classical metabolite‑binding folds such as Rossmann domains frequently mediate RNA contacts, helping explain why many metabolic enzymes and signaling proteins appear in RBP datasets. Mechanistic case studies reveal RNA acting as a regulator of protein complexes and enzyme activity, exemplified by vtRNA1‑1 control of p62 oligomerization, SHMT1 inhibition by the SHMT2 5′UTR, ENO1 crowd‑control by UTR ligands, and circACC1 scaffolding of AMPK. The review outlines validation workflows and open questions to separate functional riboregulation from chance binding and artifacts, emphasizing orthogonal assays, target identification, and structure‑guided mutants.</p>
<p><br /> Conclusion:<br />Together, these insights argue that riboregulation is likely widespread and clinically relevant, opening new routes to interrogate cell biology and to design therapeutic strategies that target RNA–protein interfaces.</p>
<p><br /> Reference:<br />Hentze, M. W., Sommerkamp, P., Ravi, V., &amp; Gebauer, F. (2025). Rethinking RNA-binding proteins: Riboregulation challenges prevailing views. Cell, 188, 4811–4822.</p>
<p><a href="https://doi.org/10.1016/j.cell.2025.06.021"> https://doi.org/10.1016/j.cell.2025.06.021</a></p>
<p><br /> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a></p>
<p><br /> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a href="https://basebybase.castos.com/">https://basebybase.castos.com/</a></p>
<p><br />On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 137: Rethinking RNA-binding proteins: Riboregulation challenges prevailing views
 In this episode of PaperCast Base by Base, we explore how a sweeping expansion of the RNA-binding proteome has reframed long‑held assumptions about RNA–protein interactions, spotlighting ‘non‑canonical’ RBPs and the emerging concept of riboregulation—RNA directly regulating protein function.
 Study Highlights:The authors synthesize discovery platforms that tripled the number of candidate RBPs, including UV crosslinking–based interactome capture (RIC/eRIC), silica‑based workflows (TRAPP/2C), and organic‑phase methods (OOPS/XRNAX), together with mass spectrometry to map RNA‑binding regions across the proteome. They show that intrinsically disordered regions and classical metabolite‑binding folds such as Rossmann domains frequently mediate RNA contacts, helping explain why many metabolic enzymes and signaling proteins appear in RBP datasets. Mechanistic case studies reveal RNA acting as a regulator of protein complexes and enzyme activity, exemplified by vtRNA1‑1 control of p62 oligomerization, SHMT1 inhibition by the SHMT2 5′UTR, ENO1 crowd‑control by UTR ligands, and circACC1 scaffolding of AMPK. The review outlines validation workflows and open questions to separate functional riboregulation from chance binding and artifacts, emphasizing orthogonal assays, target identification, and structure‑guided mutants.
 Conclusion:Together, these insights argue that riboregulation is likely widespread and clinically relevant, opening new routes to interrogate cell biology and to design therapeutic strategies that target RNA–protein interfaces.
 Reference:Hentze, M. W., Sommerkamp, P., Ravi, V., & Gebauer, F. (2025). Rethinking RNA-binding proteins: Riboregulation challenges prevailing views. Cell, 188, 4811–4822.
 https://doi.org/10.1016/j.cell.2025.06.021
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[137: Rethinking RNA-binding proteins: Riboregulation challenges prevailing views]]>
                </itunes:title>
                                    <itunes:episode>137</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 137: Rethinking RNA-binding proteins: Riboregulation challenges prevailing views</p>
<p><br /> In this episode of PaperCast Base by Base, we explore how a sweeping expansion of the RNA-binding proteome has reframed long‑held assumptions about RNA–protein interactions, spotlighting ‘non‑canonical’ RBPs and the emerging concept of riboregulation—RNA directly regulating protein function.</p>
<p><br /> Study Highlights:<br />The authors synthesize discovery platforms that tripled the number of candidate RBPs, including UV crosslinking–based interactome capture (RIC/eRIC), silica‑based workflows (TRAPP/2C), and organic‑phase methods (OOPS/XRNAX), together with mass spectrometry to map RNA‑binding regions across the proteome. They show that intrinsically disordered regions and classical metabolite‑binding folds such as Rossmann domains frequently mediate RNA contacts, helping explain why many metabolic enzymes and signaling proteins appear in RBP datasets. Mechanistic case studies reveal RNA acting as a regulator of protein complexes and enzyme activity, exemplified by vtRNA1‑1 control of p62 oligomerization, SHMT1 inhibition by the SHMT2 5′UTR, ENO1 crowd‑control by UTR ligands, and circACC1 scaffolding of AMPK. The review outlines validation workflows and open questions to separate functional riboregulation from chance binding and artifacts, emphasizing orthogonal assays, target identification, and structure‑guided mutants.</p>
<p><br /> Conclusion:<br />Together, these insights argue that riboregulation is likely widespread and clinically relevant, opening new routes to interrogate cell biology and to design therapeutic strategies that target RNA–protein interfaces.</p>
<p><br /> Reference:<br />Hentze, M. W., Sommerkamp, P., Ravi, V., &amp; Gebauer, F. (2025). Rethinking RNA-binding proteins: Riboregulation challenges prevailing views. Cell, 188, 4811–4822.</p>
<p><a href="https://doi.org/10.1016/j.cell.2025.06.021"> https://doi.org/10.1016/j.cell.2025.06.021</a></p>
<p><br /> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a></p>
<p><br /> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a href="https://basebybase.castos.com/">https://basebybase.castos.com/</a></p>
<p><br />On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 137: Rethinking RNA-binding proteins: Riboregulation challenges prevailing views
 In this episode of PaperCast Base by Base, we explore how a sweeping expansion of the RNA-binding proteome has reframed long‑held assumptions about RNA–protein interactions, spotlighting ‘non‑canonical’ RBPs and the emerging concept of riboregulation—RNA directly regulating protein function.
 Study Highlights:The authors synthesize discovery platforms that tripled the number of candidate RBPs, including UV crosslinking–based interactome capture (RIC/eRIC), silica‑based workflows (TRAPP/2C), and organic‑phase methods (OOPS/XRNAX), together with mass spectrometry to map RNA‑binding regions across the proteome. They show that intrinsically disordered regions and classical metabolite‑binding folds such as Rossmann domains frequently mediate RNA contacts, helping explain why many metabolic enzymes and signaling proteins appear in RBP datasets. Mechanistic case studies reveal RNA acting as a regulator of protein complexes and enzyme activity, exemplified by vtRNA1‑1 control of p62 oligomerization, SHMT1 inhibition by the SHMT2 5′UTR, ENO1 crowd‑control by UTR ligands, and circACC1 scaffolding of AMPK. The review outlines validation workflows and open questions to separate functional riboregulation from chance binding and artifacts, emphasizing orthogonal assays, target identification, and structure‑guided mutants.
 Conclusion:Together, these insights argue that riboregulation is likely widespread and clinically relevant, opening new routes to interrogate cell biology and to design therapeutic strategies that target RNA–protein interfaces.
 Reference:Hentze, M. W., Sommerkamp, P., Ravi, V., & Gebauer, F. (2025). Rethinking RNA-binding proteins: Riboregulation challenges prevailing views. Cell, 188, 4811–4822.
 https://doi.org/10.1016/j.cell.2025.06.021
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2140856/c1a-p6xp7-47x5rd1kaj62-9vbpv2.png"></itunes:image>
                                                                            <itunes:duration>00:25:11</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[136: Gene Context Drift Identifies Drug Targets to Mitigate Cancer Treatment Resistance]]>
                </title>
                <pubDate>Sat, 13 Sep 2025 22:18:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2140855</guid>
                                    <link>https://basebybase.castos.com/episodes/gene-context-drift-mitigates-cancer-treatment-resistance</link>
                                <description>
                                            <![CDATA[<p>️ Episode 136: Gene Context Drift Identifies Drug Targets to Mitigate Cancer Treatment Resistance</p>
<p> In this episode of PaperCast Base by Base, we explore RECODR, a graph‑embedding pipeline that reads single‑cell and single‑nucleus transcriptomes as co‑expression networks to quantify “gene context drift” during therapy and expose druggable vulnerabilities that drive relapse across aggressive cancers.</p>
<p> Study Highlights:<br />RECODR constructs co‑expression graph networks from sc/snRNA‑seq data and uses Node2Vec/Word2Vec embeddings to score how each gene’s neighborhood shifts between normal, tumor, and treatment states, revealing resistance drivers that expression level alone misses. In a choroid plexus carcinoma mouse model, context drift pinpointed DNA‑damage response dependencies, nominating ATM as a primary vulnerability and predicting that PARP1 would be inactive in untreated tumors but synergistic after ATM inhibition or radiation. Preclinical trials validated these predictions: the brain‑penetrant PARP1 inhibitor AZD9574 enhanced the ATM inhibitor AZD1390 or radiotherapy in relapsed tumors, while dasatinib—prioritized from an immune‑like resistance program—mitigated failure of the combined ATM inhibitor–radiation regimen when timed to resistant outgrowth. Applying RECODR to paired patient medulloblastoma and triple‑negative breast cancer profiles uncovered relapse‑associated context drift programs and proposed repurposable, blood–brain‑barrier–penetrant drugs tailored to subtype‑specific resistance biology.</p>
<p> Conclusion:<br />Gene context drift provides a practical framework to anticipate resistance pathways and design precisely timed combination schedules that remain effective where single agents fail.</p>
<p> Reference:<br />Jassim A, Nimmervoll BV, Terranova S, et al. Gene context drift identifies drug targets to mitigate cancer treatment resistance. Cancer Cell. 2025;43(9):1608–1621. doi:<a title="10.1016/j.ccell.2025.06.005" href="10.1016/j.ccell.2025.06.005" target="_blank" rel="noreferrer noopener">10.1016/j.ccell.2025.06.005</a>.</p>
<p> License:<br />This episode is based on an open‑access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one‑time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 136: Gene Context Drift Identifies Drug Targets to Mitigate Cancer Treatment Resistance
 In this episode of PaperCast Base by Base, we explore RECODR, a graph‑embedding pipeline that reads single‑cell and single‑nucleus transcriptomes as co‑expression networks to quantify “gene context drift” during therapy and expose druggable vulnerabilities that drive relapse across aggressive cancers.
 Study Highlights:RECODR constructs co‑expression graph networks from sc/snRNA‑seq data and uses Node2Vec/Word2Vec embeddings to score how each gene’s neighborhood shifts between normal, tumor, and treatment states, revealing resistance drivers that expression level alone misses. In a choroid plexus carcinoma mouse model, context drift pinpointed DNA‑damage response dependencies, nominating ATM as a primary vulnerability and predicting that PARP1 would be inactive in untreated tumors but synergistic after ATM inhibition or radiation. Preclinical trials validated these predictions: the brain‑penetrant PARP1 inhibitor AZD9574 enhanced the ATM inhibitor AZD1390 or radiotherapy in relapsed tumors, while dasatinib—prioritized from an immune‑like resistance program—mitigated failure of the combined ATM inhibitor–radiation regimen when timed to resistant outgrowth. Applying RECODR to paired patient medulloblastoma and triple‑negative breast cancer profiles uncovered relapse‑associated context drift programs and proposed repurposable, blood–brain‑barrier–penetrant drugs tailored to subtype‑specific resistance biology.
 Conclusion:Gene context drift provides a practical framework to anticipate resistance pathways and design precisely timed combination schedules that remain effective where single agents fail.
 Reference:Jassim A, Nimmervoll BV, Terranova S, et al. Gene context drift identifies drug targets to mitigate cancer treatment resistance. Cancer Cell. 2025;43(9):1608–1621. doi:10.1016/j.ccell.2025.06.005.
 License:This episode is based on an open‑access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one‑time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[136: Gene Context Drift Identifies Drug Targets to Mitigate Cancer Treatment Resistance]]>
                </itunes:title>
                                    <itunes:episode>136</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 136: Gene Context Drift Identifies Drug Targets to Mitigate Cancer Treatment Resistance</p>
<p> In this episode of PaperCast Base by Base, we explore RECODR, a graph‑embedding pipeline that reads single‑cell and single‑nucleus transcriptomes as co‑expression networks to quantify “gene context drift” during therapy and expose druggable vulnerabilities that drive relapse across aggressive cancers.</p>
<p> Study Highlights:<br />RECODR constructs co‑expression graph networks from sc/snRNA‑seq data and uses Node2Vec/Word2Vec embeddings to score how each gene’s neighborhood shifts between normal, tumor, and treatment states, revealing resistance drivers that expression level alone misses. In a choroid plexus carcinoma mouse model, context drift pinpointed DNA‑damage response dependencies, nominating ATM as a primary vulnerability and predicting that PARP1 would be inactive in untreated tumors but synergistic after ATM inhibition or radiation. Preclinical trials validated these predictions: the brain‑penetrant PARP1 inhibitor AZD9574 enhanced the ATM inhibitor AZD1390 or radiotherapy in relapsed tumors, while dasatinib—prioritized from an immune‑like resistance program—mitigated failure of the combined ATM inhibitor–radiation regimen when timed to resistant outgrowth. Applying RECODR to paired patient medulloblastoma and triple‑negative breast cancer profiles uncovered relapse‑associated context drift programs and proposed repurposable, blood–brain‑barrier–penetrant drugs tailored to subtype‑specific resistance biology.</p>
<p> Conclusion:<br />Gene context drift provides a practical framework to anticipate resistance pathways and design precisely timed combination schedules that remain effective where single agents fail.</p>
<p> Reference:<br />Jassim A, Nimmervoll BV, Terranova S, et al. Gene context drift identifies drug targets to mitigate cancer treatment resistance. Cancer Cell. 2025;43(9):1608–1621. doi:<a title="10.1016/j.ccell.2025.06.005" href="10.1016/j.ccell.2025.06.005" target="_blank" rel="noreferrer noopener">10.1016/j.ccell.2025.06.005</a>.</p>
<p> License:<br />This episode is based on an open‑access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one‑time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[️ Episode 136: Gene Context Drift Identifies Drug Targets to Mitigate Cancer Treatment Resistance
 In this episode of PaperCast Base by Base, we explore RECODR, a graph‑embedding pipeline that reads single‑cell and single‑nucleus transcriptomes as co‑expression networks to quantify “gene context drift” during therapy and expose druggable vulnerabilities that drive relapse across aggressive cancers.
 Study Highlights:RECODR constructs co‑expression graph networks from sc/snRNA‑seq data and uses Node2Vec/Word2Vec embeddings to score how each gene’s neighborhood shifts between normal, tumor, and treatment states, revealing resistance drivers that expression level alone misses. In a choroid plexus carcinoma mouse model, context drift pinpointed DNA‑damage response dependencies, nominating ATM as a primary vulnerability and predicting that PARP1 would be inactive in untreated tumors but synergistic after ATM inhibition or radiation. Preclinical trials validated these predictions: the brain‑penetrant PARP1 inhibitor AZD9574 enhanced the ATM inhibitor AZD1390 or radiotherapy in relapsed tumors, while dasatinib—prioritized from an immune‑like resistance program—mitigated failure of the combined ATM inhibitor–radiation regimen when timed to resistant outgrowth. Applying RECODR to paired patient medulloblastoma and triple‑negative breast cancer profiles uncovered relapse‑associated context drift programs and proposed repurposable, blood–brain‑barrier–penetrant drugs tailored to subtype‑specific resistance biology.
 Conclusion:Gene context drift provides a practical framework to anticipate resistance pathways and design precisely timed combination schedules that remain effective where single agents fail.
 Reference:Jassim A, Nimmervoll BV, Terranova S, et al. Gene context drift identifies drug targets to mitigate cancer treatment resistance. Cancer Cell. 2025;43(9):1608–1621. doi:10.1016/j.ccell.2025.06.005.
 License:This episode is based on an open‑access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one‑time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2140855/c1a-p6xp7-jp35vj5pigqo-psrf9x.png"></itunes:image>
                                                                            <itunes:duration>00:14:48</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[135: Global impact of micronutrients in modern human evolution]]>
                </title>
                <pubDate>Fri, 12 Sep 2025 09:05:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2138078</guid>
                                    <link>https://basebybase.castos.com/episodes/global-impact-of-micronutrients-in-modern-human-evolution</link>
                                <description>
                                            <![CDATA[<p>️ Episode 135: Global impact of micronutrients in modern human evolution</p>
<p> In this episode of PaperCast Base by Base, we explore how dietary micronutrients have influenced modern human evolution. The study investigates the role of essential minerals in shaping genetic adaptation and highlights the health risks posed by imbalances in micronutrient availability worldwide.</p>
<p> Study Highlights:<br />Researchers analyzed 276 genes linked to 13 micronutrients across 40 diverse human populations. Using whole-genome data and evolutionary simulations, they identified widespread signatures of positive selection in genes associated with nutrient uptake, metabolism, and regulation. Their findings suggest that deficiencies in elements such as selenium, iodine, iron, and zinc have repeatedly driven local adaptation across global populations. The study also reveals that oligogenic selection, acting on multiple genes at once, may have been a common mechanism of adaptation. Importantly, patterns of selection often correspond with geographic differences in soil composition and diet, underscoring the deep link between human genetics and the environment.</p>
<p> Conclusion:<br />This research shows that micronutrient deficiencies have been a powerful selective force in human history and remain relevant today as soil depletion and climate change continue to shape global health risks.</p>
<p> Reference:<br />Rees, J., Castellano, S., &amp; Andrés, A. M. (2025). Global impact of micronutrients in modern human evolution. *The American Journal of Human Genetics*, 112, 1–24. https://doi.org/10.1016/j.ajhg.2025.08.005</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 135: Global impact of micronutrients in modern human evolution
 In this episode of PaperCast Base by Base, we explore how dietary micronutrients have influenced modern human evolution. The study investigates the role of essential minerals in shaping genetic adaptation and highlights the health risks posed by imbalances in micronutrient availability worldwide.
 Study Highlights:Researchers analyzed 276 genes linked to 13 micronutrients across 40 diverse human populations. Using whole-genome data and evolutionary simulations, they identified widespread signatures of positive selection in genes associated with nutrient uptake, metabolism, and regulation. Their findings suggest that deficiencies in elements such as selenium, iodine, iron, and zinc have repeatedly driven local adaptation across global populations. The study also reveals that oligogenic selection, acting on multiple genes at once, may have been a common mechanism of adaptation. Importantly, patterns of selection often correspond with geographic differences in soil composition and diet, underscoring the deep link between human genetics and the environment.
 Conclusion:This research shows that micronutrient deficiencies have been a powerful selective force in human history and remain relevant today as soil depletion and climate change continue to shape global health risks.
 Reference:Rees, J., Castellano, S., & Andrés, A. M. (2025). Global impact of micronutrients in modern human evolution. *The American Journal of Human Genetics*, 112, 1–24. https://doi.org/10.1016/j.ajhg.2025.08.005
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                <itunes:title>
                    <![CDATA[135: Global impact of micronutrients in modern human evolution]]>
                </itunes:title>
                                    <itunes:episode>135</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 135: Global impact of micronutrients in modern human evolution</p>
<p> In this episode of PaperCast Base by Base, we explore how dietary micronutrients have influenced modern human evolution. The study investigates the role of essential minerals in shaping genetic adaptation and highlights the health risks posed by imbalances in micronutrient availability worldwide.</p>
<p> Study Highlights:<br />Researchers analyzed 276 genes linked to 13 micronutrients across 40 diverse human populations. Using whole-genome data and evolutionary simulations, they identified widespread signatures of positive selection in genes associated with nutrient uptake, metabolism, and regulation. Their findings suggest that deficiencies in elements such as selenium, iodine, iron, and zinc have repeatedly driven local adaptation across global populations. The study also reveals that oligogenic selection, acting on multiple genes at once, may have been a common mechanism of adaptation. Importantly, patterns of selection often correspond with geographic differences in soil composition and diet, underscoring the deep link between human genetics and the environment.</p>
<p> Conclusion:<br />This research shows that micronutrient deficiencies have been a powerful selective force in human history and remain relevant today as soil depletion and climate change continue to shape global health risks.</p>
<p> Reference:<br />Rees, J., Castellano, S., &amp; Andrés, A. M. (2025). Global impact of micronutrients in modern human evolution. *The American Journal of Human Genetics*, 112, 1–24. https://doi.org/10.1016/j.ajhg.2025.08.005</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[️ Episode 135: Global impact of micronutrients in modern human evolution
 In this episode of PaperCast Base by Base, we explore how dietary micronutrients have influenced modern human evolution. The study investigates the role of essential minerals in shaping genetic adaptation and highlights the health risks posed by imbalances in micronutrient availability worldwide.
 Study Highlights:Researchers analyzed 276 genes linked to 13 micronutrients across 40 diverse human populations. Using whole-genome data and evolutionary simulations, they identified widespread signatures of positive selection in genes associated with nutrient uptake, metabolism, and regulation. Their findings suggest that deficiencies in elements such as selenium, iodine, iron, and zinc have repeatedly driven local adaptation across global populations. The study also reveals that oligogenic selection, acting on multiple genes at once, may have been a common mechanism of adaptation. Importantly, patterns of selection often correspond with geographic differences in soil composition and diet, underscoring the deep link between human genetics and the environment.
 Conclusion:This research shows that micronutrient deficiencies have been a powerful selective force in human history and remain relevant today as soil depletion and climate change continue to shape global health risks.
 Reference:Rees, J., Castellano, S., & Andrés, A. M. (2025). Global impact of micronutrients in modern human evolution. *The American Journal of Human Genetics*, 112, 1–24. https://doi.org/10.1016/j.ajhg.2025.08.005
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2138078/c1a-p6xp7-jp31or0ou22x-gykgpp.png"></itunes:image>
                                                                            <itunes:duration>00:14:26</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[134: Single-Cell Maps Link Intestinal Metaplasia to Esophageal Adenocarcinoma Risk]]>
                </title>
                <pubDate>Thu, 11 Sep 2025 09:01:57 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2138074</guid>
                                    <link>https://basebybase.castos.com/episodes/single-cell-barretts-esophagus-eac-risk</link>
                                <description>
                                            <![CDATA[<p>️ Episode 134: Single-Cell Maps Link Intestinal Metaplasia to Esophageal Adenocarcinoma Risk</p>
<p> In this episode of PaperCast Base by Base, we explore how single-cell RNA sequencing of Barrett’s esophagus (BE), esophageal adenocarcinoma (EAC), and matched normal tissues reveals which cell types carry germline-linked risk and shape progression toward cancer.</p>
<p> Study Highlights:<br />The authors profiled epithelial, stromal, endothelial, and immune cells with 10x scRNA-seq and integrated genome-wide association data using partitioned heritability to map risk to specific cell types. They show that EAC development is driven more by local cellular programs than BE, with intestinal metaplasia cells—goblet cell–like cells expressing the intestinal stem cell marker OLFM4—emerging as pivotal in the transition toward malignancy. Tumor clusters displayed patient-specific copy-number profiles, and gene set analyses suggested that columnar cell differentiation programs, particularly within intestinal metaplasia, are closely tied to EAC risk. Fibroblast and endothelial subtypes also carried enriched risk signals, while plasmacytoid dendritic cells and memory CD4 T cells were linked to BE risk, highlighting immune involvement in the metaplastic stage.</p>
<p> Conclusion:<br />Linking GWAS risk loci to single-cell expression programs points to intestinal metaplasia and columnar differentiation states as key targets for early prediction and intervention in EAC.</p>
<p> Reference:<br />Wenzel MC, Dasmeh P, Plum PS, Giel A-S, Hoppe S, Franitza M, Jonas C, Thieme R, Zhao Y, Heider D, Palles C, Fitzgerald RC, Bruns CJ, Buettner R, Quaas A, Gockel I, Maj C, Chon S-H, Schumacher J, Hillmer AM. Single-cell analysis of Barrett’s esophagus and carcinoma reveals cell types conferring risk via genetic predisposition. Cell Genomics. 2025;5:100980. https://doi.org/10.1016/j.xgen.2025.100980</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 134: Single-Cell Maps Link Intestinal Metaplasia to Esophageal Adenocarcinoma Risk
 In this episode of PaperCast Base by Base, we explore how single-cell RNA sequencing of Barrett’s esophagus (BE), esophageal adenocarcinoma (EAC), and matched normal tissues reveals which cell types carry germline-linked risk and shape progression toward cancer.
 Study Highlights:The authors profiled epithelial, stromal, endothelial, and immune cells with 10x scRNA-seq and integrated genome-wide association data using partitioned heritability to map risk to specific cell types. They show that EAC development is driven more by local cellular programs than BE, with intestinal metaplasia cells—goblet cell–like cells expressing the intestinal stem cell marker OLFM4—emerging as pivotal in the transition toward malignancy. Tumor clusters displayed patient-specific copy-number profiles, and gene set analyses suggested that columnar cell differentiation programs, particularly within intestinal metaplasia, are closely tied to EAC risk. Fibroblast and endothelial subtypes also carried enriched risk signals, while plasmacytoid dendritic cells and memory CD4 T cells were linked to BE risk, highlighting immune involvement in the metaplastic stage.
 Conclusion:Linking GWAS risk loci to single-cell expression programs points to intestinal metaplasia and columnar differentiation states as key targets for early prediction and intervention in EAC.
 Reference:Wenzel MC, Dasmeh P, Plum PS, Giel A-S, Hoppe S, Franitza M, Jonas C, Thieme R, Zhao Y, Heider D, Palles C, Fitzgerald RC, Bruns CJ, Buettner R, Quaas A, Gockel I, Maj C, Chon S-H, Schumacher J, Hillmer AM. Single-cell analysis of Barrett’s esophagus and carcinoma reveals cell types conferring risk via genetic predisposition. Cell Genomics. 2025;5:100980. https://doi.org/10.1016/j.xgen.2025.100980
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[134: Single-Cell Maps Link Intestinal Metaplasia to Esophageal Adenocarcinoma Risk]]>
                </itunes:title>
                                    <itunes:episode>134</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 134: Single-Cell Maps Link Intestinal Metaplasia to Esophageal Adenocarcinoma Risk</p>
<p> In this episode of PaperCast Base by Base, we explore how single-cell RNA sequencing of Barrett’s esophagus (BE), esophageal adenocarcinoma (EAC), and matched normal tissues reveals which cell types carry germline-linked risk and shape progression toward cancer.</p>
<p> Study Highlights:<br />The authors profiled epithelial, stromal, endothelial, and immune cells with 10x scRNA-seq and integrated genome-wide association data using partitioned heritability to map risk to specific cell types. They show that EAC development is driven more by local cellular programs than BE, with intestinal metaplasia cells—goblet cell–like cells expressing the intestinal stem cell marker OLFM4—emerging as pivotal in the transition toward malignancy. Tumor clusters displayed patient-specific copy-number profiles, and gene set analyses suggested that columnar cell differentiation programs, particularly within intestinal metaplasia, are closely tied to EAC risk. Fibroblast and endothelial subtypes also carried enriched risk signals, while plasmacytoid dendritic cells and memory CD4 T cells were linked to BE risk, highlighting immune involvement in the metaplastic stage.</p>
<p> Conclusion:<br />Linking GWAS risk loci to single-cell expression programs points to intestinal metaplasia and columnar differentiation states as key targets for early prediction and intervention in EAC.</p>
<p> Reference:<br />Wenzel MC, Dasmeh P, Plum PS, Giel A-S, Hoppe S, Franitza M, Jonas C, Thieme R, Zhao Y, Heider D, Palles C, Fitzgerald RC, Bruns CJ, Buettner R, Quaas A, Gockel I, Maj C, Chon S-H, Schumacher J, Hillmer AM. Single-cell analysis of Barrett’s esophagus and carcinoma reveals cell types conferring risk via genetic predisposition. Cell Genomics. 2025;5:100980. https://doi.org/10.1016/j.xgen.2025.100980</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[️ Episode 134: Single-Cell Maps Link Intestinal Metaplasia to Esophageal Adenocarcinoma Risk
 In this episode of PaperCast Base by Base, we explore how single-cell RNA sequencing of Barrett’s esophagus (BE), esophageal adenocarcinoma (EAC), and matched normal tissues reveals which cell types carry germline-linked risk and shape progression toward cancer.
 Study Highlights:The authors profiled epithelial, stromal, endothelial, and immune cells with 10x scRNA-seq and integrated genome-wide association data using partitioned heritability to map risk to specific cell types. They show that EAC development is driven more by local cellular programs than BE, with intestinal metaplasia cells—goblet cell–like cells expressing the intestinal stem cell marker OLFM4—emerging as pivotal in the transition toward malignancy. Tumor clusters displayed patient-specific copy-number profiles, and gene set analyses suggested that columnar cell differentiation programs, particularly within intestinal metaplasia, are closely tied to EAC risk. Fibroblast and endothelial subtypes also carried enriched risk signals, while plasmacytoid dendritic cells and memory CD4 T cells were linked to BE risk, highlighting immune involvement in the metaplastic stage.
 Conclusion:Linking GWAS risk loci to single-cell expression programs points to intestinal metaplasia and columnar differentiation states as key targets for early prediction and intervention in EAC.
 Reference:Wenzel MC, Dasmeh P, Plum PS, Giel A-S, Hoppe S, Franitza M, Jonas C, Thieme R, Zhao Y, Heider D, Palles C, Fitzgerald RC, Bruns CJ, Buettner R, Quaas A, Gockel I, Maj C, Chon S-H, Schumacher J, Hillmer AM. Single-cell analysis of Barrett’s esophagus and carcinoma reveals cell types conferring risk via genetic predisposition. Cell Genomics. 2025;5:100980. https://doi.org/10.1016/j.xgen.2025.100980
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2138074/c1a-p6xp7-1p59zm8oao56-rzglsc.png"></itunes:image>
                                                                            <itunes:duration>00:15:47</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[133: Culture-Independent Meta‑Pangenomics Reveals Gut Genome Links to Child Growth]]>
                </title>
                <pubDate>Wed, 10 Sep 2025 09:12:48 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2137349</guid>
                                    <link>https://basebybase.castos.com/episodes/culture-independent-meta-pangenomics-child-undernutrition</link>
                                <description>
                                            <![CDATA[<p>️ Episode 133: Culture-Independent Meta‑Pangenomics Reveals Gut Genome Links to Child Growth</p>
<p> In this episode of PaperCast Base by Base, we explore how long‑read metagenomics enables recovery of complete metagenome‑assembled genomes directly from fecal samples of Malawian toddlers and applies meta‑pangenomics and microbial GWAS to connect microbial genetics with pediatric linear growth and breastfeeding status.</p>
<p> Study Highlights:<br />Long‑read sequencing with PacBio and Oxford Nanopore generated 44–64 times more complete genomes per gigabase than short‑read approaches, with PacBio yielding the most accurate and cost‑effective assemblies. A longitudinal cohort produced 986 complete genomes, 839 circular, across 47 samples from eight children and markedly improved taxonomic classification in both resequenced and naive samples. Meta‑pangenome and microbial genome‑wide association analyses across Prevotella, Faecalibacterium, Megasphaera, Bifidobacterium and others identified gene‑level signatures linked to linear growth trajectories and breastfeeding. Temporal analyses showed greater microbial genome instability in children with declining length‑for‑age Z scores and prophage integrations varied by genus and phenotype. Cross‑platform comparisons established robust methods, recommended assembler choices, and modeled data‑to‑genome recovery to guide study design.</p>
<p> Conclusion:<br />This work establishes a culture‑independent, strain‑resolved framework for linking the infant gut microbiome to growth outcomes and sets a new standard for microbiome association studies and future intervention design.</p>
<p> Reference:<br />Minich, J.J., Allsing, N., Din, M.O., Tisza, M.J., Maleta, K., McDonald, D., Hartwick, N., Mamerto, A., Brennan, C., Hansen, L., Shaffer, J., Murray, E.R., Duong, T., Knight, R., Stephenson, K., Manary, M.J., &amp; Michael, T.P. (2025). Culture‑independent meta‑pangenomics enabled by long‑read metagenomics reveals associations with pediatric undernutrition. Cell, 188, 1–21. <a title="https://doi.org/10.1016/j.cell.2025.08.020" href="https://doi.org/10.1016/j.cell.2025.08.020" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.08.020</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 133: Culture-Independent Meta‑Pangenomics Reveals Gut Genome Links to Child Growth
 In this episode of PaperCast Base by Base, we explore how long‑read metagenomics enables recovery of complete metagenome‑assembled genomes directly from fecal samples of Malawian toddlers and applies meta‑pangenomics and microbial GWAS to connect microbial genetics with pediatric linear growth and breastfeeding status.
 Study Highlights:Long‑read sequencing with PacBio and Oxford Nanopore generated 44–64 times more complete genomes per gigabase than short‑read approaches, with PacBio yielding the most accurate and cost‑effective assemblies. A longitudinal cohort produced 986 complete genomes, 839 circular, across 47 samples from eight children and markedly improved taxonomic classification in both resequenced and naive samples. Meta‑pangenome and microbial genome‑wide association analyses across Prevotella, Faecalibacterium, Megasphaera, Bifidobacterium and others identified gene‑level signatures linked to linear growth trajectories and breastfeeding. Temporal analyses showed greater microbial genome instability in children with declining length‑for‑age Z scores and prophage integrations varied by genus and phenotype. Cross‑platform comparisons established robust methods, recommended assembler choices, and modeled data‑to‑genome recovery to guide study design.
 Conclusion:This work establishes a culture‑independent, strain‑resolved framework for linking the infant gut microbiome to growth outcomes and sets a new standard for microbiome association studies and future intervention design.
 Reference:Minich, J.J., Allsing, N., Din, M.O., Tisza, M.J., Maleta, K., McDonald, D., Hartwick, N., Mamerto, A., Brennan, C., Hansen, L., Shaffer, J., Murray, E.R., Duong, T., Knight, R., Stephenson, K., Manary, M.J., & Michael, T.P. (2025). Culture‑independent meta‑pangenomics enabled by long‑read metagenomics reveals associations with pediatric undernutrition. Cell, 188, 1–21. https://doi.org/10.1016/j.cell.2025.08.020
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[133: Culture-Independent Meta‑Pangenomics Reveals Gut Genome Links to Child Growth]]>
                </itunes:title>
                                    <itunes:episode>133</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 133: Culture-Independent Meta‑Pangenomics Reveals Gut Genome Links to Child Growth</p>
<p> In this episode of PaperCast Base by Base, we explore how long‑read metagenomics enables recovery of complete metagenome‑assembled genomes directly from fecal samples of Malawian toddlers and applies meta‑pangenomics and microbial GWAS to connect microbial genetics with pediatric linear growth and breastfeeding status.</p>
<p> Study Highlights:<br />Long‑read sequencing with PacBio and Oxford Nanopore generated 44–64 times more complete genomes per gigabase than short‑read approaches, with PacBio yielding the most accurate and cost‑effective assemblies. A longitudinal cohort produced 986 complete genomes, 839 circular, across 47 samples from eight children and markedly improved taxonomic classification in both resequenced and naive samples. Meta‑pangenome and microbial genome‑wide association analyses across Prevotella, Faecalibacterium, Megasphaera, Bifidobacterium and others identified gene‑level signatures linked to linear growth trajectories and breastfeeding. Temporal analyses showed greater microbial genome instability in children with declining length‑for‑age Z scores and prophage integrations varied by genus and phenotype. Cross‑platform comparisons established robust methods, recommended assembler choices, and modeled data‑to‑genome recovery to guide study design.</p>
<p> Conclusion:<br />This work establishes a culture‑independent, strain‑resolved framework for linking the infant gut microbiome to growth outcomes and sets a new standard for microbiome association studies and future intervention design.</p>
<p> Reference:<br />Minich, J.J., Allsing, N., Din, M.O., Tisza, M.J., Maleta, K., McDonald, D., Hartwick, N., Mamerto, A., Brennan, C., Hansen, L., Shaffer, J., Murray, E.R., Duong, T., Knight, R., Stephenson, K., Manary, M.J., &amp; Michael, T.P. (2025). Culture‑independent meta‑pangenomics enabled by long‑read metagenomics reveals associations with pediatric undernutrition. Cell, 188, 1–21. <a title="https://doi.org/10.1016/j.cell.2025.08.020" href="https://doi.org/10.1016/j.cell.2025.08.020" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.08.020</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 133: Culture-Independent Meta‑Pangenomics Reveals Gut Genome Links to Child Growth
 In this episode of PaperCast Base by Base, we explore how long‑read metagenomics enables recovery of complete metagenome‑assembled genomes directly from fecal samples of Malawian toddlers and applies meta‑pangenomics and microbial GWAS to connect microbial genetics with pediatric linear growth and breastfeeding status.
 Study Highlights:Long‑read sequencing with PacBio and Oxford Nanopore generated 44–64 times more complete genomes per gigabase than short‑read approaches, with PacBio yielding the most accurate and cost‑effective assemblies. A longitudinal cohort produced 986 complete genomes, 839 circular, across 47 samples from eight children and markedly improved taxonomic classification in both resequenced and naive samples. Meta‑pangenome and microbial genome‑wide association analyses across Prevotella, Faecalibacterium, Megasphaera, Bifidobacterium and others identified gene‑level signatures linked to linear growth trajectories and breastfeeding. Temporal analyses showed greater microbial genome instability in children with declining length‑for‑age Z scores and prophage integrations varied by genus and phenotype. Cross‑platform comparisons established robust methods, recommended assembler choices, and modeled data‑to‑genome recovery to guide study design.
 Conclusion:This work establishes a culture‑independent, strain‑resolved framework for linking the infant gut microbiome to growth outcomes and sets a new standard for microbiome association studies and future intervention design.
 Reference:Minich, J.J., Allsing, N., Din, M.O., Tisza, M.J., Maleta, K., McDonald, D., Hartwick, N., Mamerto, A., Brennan, C., Hansen, L., Shaffer, J., Murray, E.R., Duong, T., Knight, R., Stephenson, K., Manary, M.J., & Michael, T.P. (2025). Culture‑independent meta‑pangenomics enabled by long‑read metagenomics reveals associations with pediatric undernutrition. Cell, 188, 1–21. https://doi.org/10.1016/j.cell.2025.08.020
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2137349/c1a-p6xp7-254rmj6wcn2n-mc0d6t.png"></itunes:image>
                                                                            <itunes:duration>00:24:31</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[132: Tumor transcriptome classifiers predict treatment sensitivity in advanced prostate cancer]]>
                </title>
                <pubDate>Tue, 09 Sep 2025 08:34:14 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2136619</guid>
                                    <link>https://basebybase.castos.com/episodes/tumor-transcriptome-classifiers-prostate-cancer</link>
                                <description>
                                            <![CDATA[<p>️ Episode 132: Tumor transcriptome classifiers predict treatment sensitivity in advanced prostate cancer</p>
<p> In this episode of PaperCast Base by Base, we explore how transcriptome-wide RNA expression classifiers from advanced prostate cancers can inform treatment selection and improve patient outcomes.</p>
<p> Study Highlights:<br />Researchers analyzed tumor transcriptome profiles and immunohistochemistry markers from 1,523 patients enrolled in landmark phase 3 trials with up to 14 years of survival follow-up. High androgen receptor signaling was associated with longer survival, while increased proliferation predicted shorter survival. The Decipher classifier was both prognostic and predictive, identifying metastatic patients who benefited significantly from docetaxel. Additionally, a transcriptome classifier of PTEN inactivation revealed poor survival on hormone therapy but sensitivity to docetaxel. These findings establish transcriptome classifiers as valuable tools for guiding personalized treatment strategies.</p>
<p> Conclusion:<br />Transcriptome-wide classifiers can predict which patients with advanced prostate cancer will benefit most from docetaxel, paving the way for precision oncology approaches in routine practice.</p>
<p> Reference:<br />Grist, E., Dutey-Magni, P., Parry, M.A., Mendes, L., Sachdeva, A., Proudfoot, J.A., Hamid, A.A., Ismail, M., Howlett, S., Friedrich, S., et al. Tumor transcriptome-wide expression classifiers predict treatment sensitivity in advanced prostate cancers. Cell. 188, 1–18 (2025). https://doi.org/10.1016/j.cell.2025.07.042</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 132: Tumor transcriptome classifiers predict treatment sensitivity in advanced prostate cancer
 In this episode of PaperCast Base by Base, we explore how transcriptome-wide RNA expression classifiers from advanced prostate cancers can inform treatment selection and improve patient outcomes.
 Study Highlights:Researchers analyzed tumor transcriptome profiles and immunohistochemistry markers from 1,523 patients enrolled in landmark phase 3 trials with up to 14 years of survival follow-up. High androgen receptor signaling was associated with longer survival, while increased proliferation predicted shorter survival. The Decipher classifier was both prognostic and predictive, identifying metastatic patients who benefited significantly from docetaxel. Additionally, a transcriptome classifier of PTEN inactivation revealed poor survival on hormone therapy but sensitivity to docetaxel. These findings establish transcriptome classifiers as valuable tools for guiding personalized treatment strategies.
 Conclusion:Transcriptome-wide classifiers can predict which patients with advanced prostate cancer will benefit most from docetaxel, paving the way for precision oncology approaches in routine practice.
 Reference:Grist, E., Dutey-Magni, P., Parry, M.A., Mendes, L., Sachdeva, A., Proudfoot, J.A., Hamid, A.A., Ismail, M., Howlett, S., Friedrich, S., et al. Tumor transcriptome-wide expression classifiers predict treatment sensitivity in advanced prostate cancers. Cell. 188, 1–18 (2025). https://doi.org/10.1016/j.cell.2025.07.042
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[132: Tumor transcriptome classifiers predict treatment sensitivity in advanced prostate cancer]]>
                </itunes:title>
                                    <itunes:episode>132</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 132: Tumor transcriptome classifiers predict treatment sensitivity in advanced prostate cancer</p>
<p> In this episode of PaperCast Base by Base, we explore how transcriptome-wide RNA expression classifiers from advanced prostate cancers can inform treatment selection and improve patient outcomes.</p>
<p> Study Highlights:<br />Researchers analyzed tumor transcriptome profiles and immunohistochemistry markers from 1,523 patients enrolled in landmark phase 3 trials with up to 14 years of survival follow-up. High androgen receptor signaling was associated with longer survival, while increased proliferation predicted shorter survival. The Decipher classifier was both prognostic and predictive, identifying metastatic patients who benefited significantly from docetaxel. Additionally, a transcriptome classifier of PTEN inactivation revealed poor survival on hormone therapy but sensitivity to docetaxel. These findings establish transcriptome classifiers as valuable tools for guiding personalized treatment strategies.</p>
<p> Conclusion:<br />Transcriptome-wide classifiers can predict which patients with advanced prostate cancer will benefit most from docetaxel, paving the way for precision oncology approaches in routine practice.</p>
<p> Reference:<br />Grist, E., Dutey-Magni, P., Parry, M.A., Mendes, L., Sachdeva, A., Proudfoot, J.A., Hamid, A.A., Ismail, M., Howlett, S., Friedrich, S., et al. Tumor transcriptome-wide expression classifiers predict treatment sensitivity in advanced prostate cancers. Cell. 188, 1–18 (2025). https://doi.org/10.1016/j.cell.2025.07.042</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[️ Episode 132: Tumor transcriptome classifiers predict treatment sensitivity in advanced prostate cancer
 In this episode of PaperCast Base by Base, we explore how transcriptome-wide RNA expression classifiers from advanced prostate cancers can inform treatment selection and improve patient outcomes.
 Study Highlights:Researchers analyzed tumor transcriptome profiles and immunohistochemistry markers from 1,523 patients enrolled in landmark phase 3 trials with up to 14 years of survival follow-up. High androgen receptor signaling was associated with longer survival, while increased proliferation predicted shorter survival. The Decipher classifier was both prognostic and predictive, identifying metastatic patients who benefited significantly from docetaxel. Additionally, a transcriptome classifier of PTEN inactivation revealed poor survival on hormone therapy but sensitivity to docetaxel. These findings establish transcriptome classifiers as valuable tools for guiding personalized treatment strategies.
 Conclusion:Transcriptome-wide classifiers can predict which patients with advanced prostate cancer will benefit most from docetaxel, paving the way for precision oncology approaches in routine practice.
 Reference:Grist, E., Dutey-Magni, P., Parry, M.A., Mendes, L., Sachdeva, A., Proudfoot, J.A., Hamid, A.A., Ismail, M., Howlett, S., Friedrich, S., et al. Tumor transcriptome-wide expression classifiers predict treatment sensitivity in advanced prostate cancers. Cell. 188, 1–18 (2025). https://doi.org/10.1016/j.cell.2025.07.042
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2136619/c1a-p6xp7-0vpor7zjbz8v-hbgcx6.png"></itunes:image>
                                                                            <itunes:duration>00:20:35</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[131: pBI143: The Human Gut’s Hidden Heavyweight]]>
                </title>
                <pubDate>Mon, 08 Sep 2025 09:00:13 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2135522</guid>
                                    <link>https://basebybase.castos.com/episodes/pbi143-the-human-guts-hidden-heavyweight</link>
                                <description>
                                            <![CDATA[<p>️ Episode 131: pBI143: The Human Gut’s Hidden Heavyweight</p>
<p><br /> In this episode of PaperCast Base by Base, we explore how a tiny 2.7 kb cryptic plasmid, pBI143, emerges as one of the most numerous genetic elements in industrialized human gut microbiomes, mobilizes across Bacteroidales, persists as monoclonal lineages with vertical transmission, and increases its copy number under stress and in inflammatory bowel disease.</p>
<p><br /> Study Highlights:<br />The authors surveyed 4,516 globally distributed gut metagenomes and found that the 2.7 kb plasmid pBI143 is highly prevalent in industrialized populations and, when normalized by genome size, is on average at least fourteen times more numerous than crAssphage. Isolate screening and conjugation assays showed transfer between Bacteroidales species, while single‑nucleotide‑variant profiling revealed largely monoclonal populations within individuals and frequent vertical transmission from mothers to infants. In gnotobiotic mice, pBI143 imposed a small fitness cost on Bacteroides fragilis, yet metagenomic assemblies occasionally captured larger pBI143 variants bearing cargo genes that could benefit hosts and suggest a natural shuttle vector. Copy‑number measurements increased under oxidative stress in vitro and were significantly higher in metagenomes from individuals with inflammatory bowel disease, and a qPCR assay demonstrated pBI143’s sensitivity and specificity as a marker of human fecal contamination.</p>
<p><br /> Conclusion:<br />Together these findings position pBI143 as a human-specific, ultra-abundant mobile element that serves as a sensitive biomarker of gut stress and contamination while offering a natural backbone for payload delivery in the microbiome.</p>
<p><br /> Reference:<br />Fogarty EC, Schechter MS, Lolans K, Sheahan ML, Veseli I, Moore RM, Kiefl E, Moody T, Rice PA, Yu MK, Mimee M, Chang EB, Ruscheweyh H‑J, Sunagawa S, McLellan SL, Willis AD, Comstock LE, Eren AM. A cryptic plasmid is among the most numerous genetic elements in the human gut. Cell. 2024;187(5):1206–1222. <a href="https://doi.org/10.1016/j.cell.2024.01.039">https://doi.org/10.1016/j.cell.2024.01.039</a></p>
<p><br /> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a></p>
<p><br /> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a href="https://basebybase.castos.com/">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 131: pBI143: The Human Gut’s Hidden Heavyweight
 In this episode of PaperCast Base by Base, we explore how a tiny 2.7 kb cryptic plasmid, pBI143, emerges as one of the most numerous genetic elements in industrialized human gut microbiomes, mobilizes across Bacteroidales, persists as monoclonal lineages with vertical transmission, and increases its copy number under stress and in inflammatory bowel disease.
 Study Highlights:The authors surveyed 4,516 globally distributed gut metagenomes and found that the 2.7 kb plasmid pBI143 is highly prevalent in industrialized populations and, when normalized by genome size, is on average at least fourteen times more numerous than crAssphage. Isolate screening and conjugation assays showed transfer between Bacteroidales species, while single‑nucleotide‑variant profiling revealed largely monoclonal populations within individuals and frequent vertical transmission from mothers to infants. In gnotobiotic mice, pBI143 imposed a small fitness cost on Bacteroides fragilis, yet metagenomic assemblies occasionally captured larger pBI143 variants bearing cargo genes that could benefit hosts and suggest a natural shuttle vector. Copy‑number measurements increased under oxidative stress in vitro and were significantly higher in metagenomes from individuals with inflammatory bowel disease, and a qPCR assay demonstrated pBI143’s sensitivity and specificity as a marker of human fecal contamination.
 Conclusion:Together these findings position pBI143 as a human-specific, ultra-abundant mobile element that serves as a sensitive biomarker of gut stress and contamination while offering a natural backbone for payload delivery in the microbiome.
 Reference:Fogarty EC, Schechter MS, Lolans K, Sheahan ML, Veseli I, Moore RM, Kiefl E, Moody T, Rice PA, Yu MK, Mimee M, Chang EB, Ruscheweyh H‑J, Sunagawa S, McLellan SL, Willis AD, Comstock LE, Eren AM. A cryptic plasmid is among the most numerous genetic elements in the human gut. Cell. 2024;187(5):1206–1222. https://doi.org/10.1016/j.cell.2024.01.039
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[131: pBI143: The Human Gut’s Hidden Heavyweight]]>
                </itunes:title>
                                    <itunes:episode>131</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 131: pBI143: The Human Gut’s Hidden Heavyweight</p>
<p><br /> In this episode of PaperCast Base by Base, we explore how a tiny 2.7 kb cryptic plasmid, pBI143, emerges as one of the most numerous genetic elements in industrialized human gut microbiomes, mobilizes across Bacteroidales, persists as monoclonal lineages with vertical transmission, and increases its copy number under stress and in inflammatory bowel disease.</p>
<p><br /> Study Highlights:<br />The authors surveyed 4,516 globally distributed gut metagenomes and found that the 2.7 kb plasmid pBI143 is highly prevalent in industrialized populations and, when normalized by genome size, is on average at least fourteen times more numerous than crAssphage. Isolate screening and conjugation assays showed transfer between Bacteroidales species, while single‑nucleotide‑variant profiling revealed largely monoclonal populations within individuals and frequent vertical transmission from mothers to infants. In gnotobiotic mice, pBI143 imposed a small fitness cost on Bacteroides fragilis, yet metagenomic assemblies occasionally captured larger pBI143 variants bearing cargo genes that could benefit hosts and suggest a natural shuttle vector. Copy‑number measurements increased under oxidative stress in vitro and were significantly higher in metagenomes from individuals with inflammatory bowel disease, and a qPCR assay demonstrated pBI143’s sensitivity and specificity as a marker of human fecal contamination.</p>
<p><br /> Conclusion:<br />Together these findings position pBI143 as a human-specific, ultra-abundant mobile element that serves as a sensitive biomarker of gut stress and contamination while offering a natural backbone for payload delivery in the microbiome.</p>
<p><br /> Reference:<br />Fogarty EC, Schechter MS, Lolans K, Sheahan ML, Veseli I, Moore RM, Kiefl E, Moody T, Rice PA, Yu MK, Mimee M, Chang EB, Ruscheweyh H‑J, Sunagawa S, McLellan SL, Willis AD, Comstock LE, Eren AM. A cryptic plasmid is among the most numerous genetic elements in the human gut. Cell. 2024;187(5):1206–1222. <a href="https://doi.org/10.1016/j.cell.2024.01.039">https://doi.org/10.1016/j.cell.2024.01.039</a></p>
<p><br /> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a></p>
<p><br /> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a href="https://basebybase.castos.com/">https://basebybase.castos.com/</a></p>]]>
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                    <![CDATA[️ Episode 131: pBI143: The Human Gut’s Hidden Heavyweight
 In this episode of PaperCast Base by Base, we explore how a tiny 2.7 kb cryptic plasmid, pBI143, emerges as one of the most numerous genetic elements in industrialized human gut microbiomes, mobilizes across Bacteroidales, persists as monoclonal lineages with vertical transmission, and increases its copy number under stress and in inflammatory bowel disease.
 Study Highlights:The authors surveyed 4,516 globally distributed gut metagenomes and found that the 2.7 kb plasmid pBI143 is highly prevalent in industrialized populations and, when normalized by genome size, is on average at least fourteen times more numerous than crAssphage. Isolate screening and conjugation assays showed transfer between Bacteroidales species, while single‑nucleotide‑variant profiling revealed largely monoclonal populations within individuals and frequent vertical transmission from mothers to infants. In gnotobiotic mice, pBI143 imposed a small fitness cost on Bacteroides fragilis, yet metagenomic assemblies occasionally captured larger pBI143 variants bearing cargo genes that could benefit hosts and suggest a natural shuttle vector. Copy‑number measurements increased under oxidative stress in vitro and were significantly higher in metagenomes from individuals with inflammatory bowel disease, and a qPCR assay demonstrated pBI143’s sensitivity and specificity as a marker of human fecal contamination.
 Conclusion:Together these findings position pBI143 as a human-specific, ultra-abundant mobile element that serves as a sensitive biomarker of gut stress and contamination while offering a natural backbone for payload delivery in the microbiome.
 Reference:Fogarty EC, Schechter MS, Lolans K, Sheahan ML, Veseli I, Moore RM, Kiefl E, Moody T, Rice PA, Yu MK, Mimee M, Chang EB, Ruscheweyh H‑J, Sunagawa S, McLellan SL, Willis AD, Comstock LE, Eren AM. A cryptic plasmid is among the most numerous genetic elements in the human gut. Cell. 2024;187(5):1206–1222. https://doi.org/10.1016/j.cell.2024.01.039
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2135522/c1a-p6xp7-v64mrdo4frp2-wy8irm.png"></itunes:image>
                                                                            <itunes:duration>00:17:59</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[130: Combining Evidence from Human Genetic and Functional Screens to Identify Pathways Altering Obesity and Fat Distribution]]>
                </title>
                <pubDate>Sun, 07 Sep 2025 12:37:56 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2133890</guid>
                                    <link>https://basebybase.castos.com/episodes/combining-evidence-human-genetic-functional-screens-obesity-fat</link>
                                <description>
                                            <![CDATA[<p>️ Episode 130: Combining Evidence from Human Genetic and Functional Screens to Identify Pathways Altering Obesity and Fat Distribution</p>
<p> In this episode of PaperCast Base by Base, we explore a large-scale study that integrates genetic association testing with functional CRISPR experiments in human adipocytes to uncover mechanisms influencing obesity and body fat distribution. By analyzing data from more than 400,000 individuals in the UK Biobank and combining it with laboratory assays, the researchers highlight novel genetic contributors to lipid accumulation.</p>
<p> Study Highlights:<br />The study examined rare and common genetic variants across nine obesity-related and fat distribution traits, identifying 69 genes associated with overall adiposity or specific fat depots. Among these, 14 genes were selected for CRISPR knockdown experiments in human white adipose tissue cell lines. Knockdown of PPARG and SLTM significantly reduced lipid accumulation, while COL5A3 knockdown increased it. The results demonstrate how converging population genetics and in vitro evidence can pinpoint therapeutic targets for obesity and related conditions.</p>
<p> Conclusion:<br />This integrative approach suggests that targeting key genes regulating adipogenesis could open new therapeutic avenues for obesity and fat distribution disorders.</p>
<p> Reference:<br />Baya, N.A., Erdem, I.S., Venkatesh, S.S., Reibe, S., Charles, P.D., Navarro-Guerrero, E., Hill, B., Lassen, F.H., Claussnitzer, M., Palmer, D.S., &amp; Lindgren, C.M. (2025). Combining evidence from human genetic and functional screens to identify pathways altering obesity and fat distribution. *The American Journal of Human Genetics*, 112, 1–22. <a title="https://doi.org/10.1016/j.ajhg.2025.08.013" href="https://doi.org/10.1016/j.ajhg.2025.08.013" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ajhg.2025.08.013</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: obesity, fat distribution, exome sequencing, CRISPR, adipogenesis</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 130: Combining Evidence from Human Genetic and Functional Screens to Identify Pathways Altering Obesity and Fat Distribution
 In this episode of PaperCast Base by Base, we explore a large-scale study that integrates genetic association testing with functional CRISPR experiments in human adipocytes to uncover mechanisms influencing obesity and body fat distribution. By analyzing data from more than 400,000 individuals in the UK Biobank and combining it with laboratory assays, the researchers highlight novel genetic contributors to lipid accumulation.
 Study Highlights:The study examined rare and common genetic variants across nine obesity-related and fat distribution traits, identifying 69 genes associated with overall adiposity or specific fat depots. Among these, 14 genes were selected for CRISPR knockdown experiments in human white adipose tissue cell lines. Knockdown of PPARG and SLTM significantly reduced lipid accumulation, while COL5A3 knockdown increased it. The results demonstrate how converging population genetics and in vitro evidence can pinpoint therapeutic targets for obesity and related conditions.
 Conclusion:This integrative approach suggests that targeting key genes regulating adipogenesis could open new therapeutic avenues for obesity and fat distribution disorders.
 Reference:Baya, N.A., Erdem, I.S., Venkatesh, S.S., Reibe, S., Charles, P.D., Navarro-Guerrero, E., Hill, B., Lassen, F.H., Claussnitzer, M., Palmer, D.S., & Lindgren, C.M. (2025). Combining evidence from human genetic and functional screens to identify pathways altering obesity and fat distribution. *The American Journal of Human Genetics*, 112, 1–22. https://doi.org/10.1016/j.ajhg.2025.08.013
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: obesity, fat distribution, exome sequencing, CRISPR, adipogenesis]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[130: Combining Evidence from Human Genetic and Functional Screens to Identify Pathways Altering Obesity and Fat Distribution]]>
                </itunes:title>
                                    <itunes:episode>130</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 130: Combining Evidence from Human Genetic and Functional Screens to Identify Pathways Altering Obesity and Fat Distribution</p>
<p> In this episode of PaperCast Base by Base, we explore a large-scale study that integrates genetic association testing with functional CRISPR experiments in human adipocytes to uncover mechanisms influencing obesity and body fat distribution. By analyzing data from more than 400,000 individuals in the UK Biobank and combining it with laboratory assays, the researchers highlight novel genetic contributors to lipid accumulation.</p>
<p> Study Highlights:<br />The study examined rare and common genetic variants across nine obesity-related and fat distribution traits, identifying 69 genes associated with overall adiposity or specific fat depots. Among these, 14 genes were selected for CRISPR knockdown experiments in human white adipose tissue cell lines. Knockdown of PPARG and SLTM significantly reduced lipid accumulation, while COL5A3 knockdown increased it. The results demonstrate how converging population genetics and in vitro evidence can pinpoint therapeutic targets for obesity and related conditions.</p>
<p> Conclusion:<br />This integrative approach suggests that targeting key genes regulating adipogenesis could open new therapeutic avenues for obesity and fat distribution disorders.</p>
<p> Reference:<br />Baya, N.A., Erdem, I.S., Venkatesh, S.S., Reibe, S., Charles, P.D., Navarro-Guerrero, E., Hill, B., Lassen, F.H., Claussnitzer, M., Palmer, D.S., &amp; Lindgren, C.M. (2025). Combining evidence from human genetic and functional screens to identify pathways altering obesity and fat distribution. *The American Journal of Human Genetics*, 112, 1–22. <a title="https://doi.org/10.1016/j.ajhg.2025.08.013" href="https://doi.org/10.1016/j.ajhg.2025.08.013" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ajhg.2025.08.013</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: obesity, fat distribution, exome sequencing, CRISPR, adipogenesis</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 130: Combining Evidence from Human Genetic and Functional Screens to Identify Pathways Altering Obesity and Fat Distribution
 In this episode of PaperCast Base by Base, we explore a large-scale study that integrates genetic association testing with functional CRISPR experiments in human adipocytes to uncover mechanisms influencing obesity and body fat distribution. By analyzing data from more than 400,000 individuals in the UK Biobank and combining it with laboratory assays, the researchers highlight novel genetic contributors to lipid accumulation.
 Study Highlights:The study examined rare and common genetic variants across nine obesity-related and fat distribution traits, identifying 69 genes associated with overall adiposity or specific fat depots. Among these, 14 genes were selected for CRISPR knockdown experiments in human white adipose tissue cell lines. Knockdown of PPARG and SLTM significantly reduced lipid accumulation, while COL5A3 knockdown increased it. The results demonstrate how converging population genetics and in vitro evidence can pinpoint therapeutic targets for obesity and related conditions.
 Conclusion:This integrative approach suggests that targeting key genes regulating adipogenesis could open new therapeutic avenues for obesity and fat distribution disorders.
 Reference:Baya, N.A., Erdem, I.S., Venkatesh, S.S., Reibe, S., Charles, P.D., Navarro-Guerrero, E., Hill, B., Lassen, F.H., Claussnitzer, M., Palmer, D.S., & Lindgren, C.M. (2025). Combining evidence from human genetic and functional screens to identify pathways altering obesity and fat distribution. *The American Journal of Human Genetics*, 112, 1–22. https://doi.org/10.1016/j.ajhg.2025.08.013
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: obesity, fat distribution, exome sequencing, CRISPR, adipogenesis]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:20:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[129: Structural variation and diversification of the NPIP gene family from the human pangenome]]>
                </title>
                <pubDate>Sat, 06 Sep 2025 12:22:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2133885</guid>
                                    <link>https://basebybase.castos.com/episodes/structural-variation-npip-gene-family</link>
                                <description>
                                            <![CDATA[<p>️ Episode 129: Structural variation and diversification of the NPIP gene family from the human pangenome</p>
<p> In this episode of PaperCast Base by Base, we explore how long-read sequencing technologies reveal the structural variation, evolutionary pressures, and expression patterns of the NPIP gene family, one of the most positively selected gene families in humans and African apes.</p>
<p> Study Highlights:<br />Using long-read assemblies of 169 human haplotypes, researchers discovered extreme variability in NPIP loci organization and identified both fixed and polymorphic paralogs. They observed ongoing positive selection acting on specific NPIP copies, as well as large inversion polymorphisms and frequent gene conversion events shaping the genomic landscape. Long-read RNA sequencing enabled the construction of paralog-specific gene models, with more than half of the predicted protein isoforms previously undocumented. Expression analysis revealed that certain NPIP paralogs show brain-enriched patterns, while others maintain testis-specific expression, suggesting lineage-specific neofunctionalization.</p>
<p> Conclusion:<br />This study highlights the dynamic evolutionary trajectory of the NPIP gene family and provides a foundation for linking its variation to human phenotypes and disease.</p>
<p> Reference:<br />Dishuck, P.C., Munson, K.M., Lewis, A.P., Dougherty, M.L., Underwood, J.G., Harvey, W.T., Hsieh, P., Pastinen, T., &amp; Eichler, E.E. (2025). Structural variation, selection, and diversification of the NPIP gene family from the human pangenome. *Cell Genomics*, 5, 100977. <a title="https://doi.org/10.1016/j.xgen.2025.100977" href="https://doi.org/10.1016/j.xgen.2025.100977" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xgen.2025.100977</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: NPIP gene family, human pangenome, positive selection, structural variation, long-read sequencing</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 129: Structural variation and diversification of the NPIP gene family from the human pangenome
 In this episode of PaperCast Base by Base, we explore how long-read sequencing technologies reveal the structural variation, evolutionary pressures, and expression patterns of the NPIP gene family, one of the most positively selected gene families in humans and African apes.
 Study Highlights:Using long-read assemblies of 169 human haplotypes, researchers discovered extreme variability in NPIP loci organization and identified both fixed and polymorphic paralogs. They observed ongoing positive selection acting on specific NPIP copies, as well as large inversion polymorphisms and frequent gene conversion events shaping the genomic landscape. Long-read RNA sequencing enabled the construction of paralog-specific gene models, with more than half of the predicted protein isoforms previously undocumented. Expression analysis revealed that certain NPIP paralogs show brain-enriched patterns, while others maintain testis-specific expression, suggesting lineage-specific neofunctionalization.
 Conclusion:This study highlights the dynamic evolutionary trajectory of the NPIP gene family and provides a foundation for linking its variation to human phenotypes and disease.
 Reference:Dishuck, P.C., Munson, K.M., Lewis, A.P., Dougherty, M.L., Underwood, J.G., Harvey, W.T., Hsieh, P., Pastinen, T., & Eichler, E.E. (2025). Structural variation, selection, and diversification of the NPIP gene family from the human pangenome. *Cell Genomics*, 5, 100977. https://doi.org/10.1016/j.xgen.2025.100977
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: NPIP gene family, human pangenome, positive selection, structural variation, long-read sequencing]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[129: Structural variation and diversification of the NPIP gene family from the human pangenome]]>
                </itunes:title>
                                    <itunes:episode>129</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 129: Structural variation and diversification of the NPIP gene family from the human pangenome</p>
<p> In this episode of PaperCast Base by Base, we explore how long-read sequencing technologies reveal the structural variation, evolutionary pressures, and expression patterns of the NPIP gene family, one of the most positively selected gene families in humans and African apes.</p>
<p> Study Highlights:<br />Using long-read assemblies of 169 human haplotypes, researchers discovered extreme variability in NPIP loci organization and identified both fixed and polymorphic paralogs. They observed ongoing positive selection acting on specific NPIP copies, as well as large inversion polymorphisms and frequent gene conversion events shaping the genomic landscape. Long-read RNA sequencing enabled the construction of paralog-specific gene models, with more than half of the predicted protein isoforms previously undocumented. Expression analysis revealed that certain NPIP paralogs show brain-enriched patterns, while others maintain testis-specific expression, suggesting lineage-specific neofunctionalization.</p>
<p> Conclusion:<br />This study highlights the dynamic evolutionary trajectory of the NPIP gene family and provides a foundation for linking its variation to human phenotypes and disease.</p>
<p> Reference:<br />Dishuck, P.C., Munson, K.M., Lewis, A.P., Dougherty, M.L., Underwood, J.G., Harvey, W.T., Hsieh, P., Pastinen, T., &amp; Eichler, E.E. (2025). Structural variation, selection, and diversification of the NPIP gene family from the human pangenome. *Cell Genomics*, 5, 100977. <a title="https://doi.org/10.1016/j.xgen.2025.100977" href="https://doi.org/10.1016/j.xgen.2025.100977" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xgen.2025.100977</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: NPIP gene family, human pangenome, positive selection, structural variation, long-read sequencing</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 129: Structural variation and diversification of the NPIP gene family from the human pangenome
 In this episode of PaperCast Base by Base, we explore how long-read sequencing technologies reveal the structural variation, evolutionary pressures, and expression patterns of the NPIP gene family, one of the most positively selected gene families in humans and African apes.
 Study Highlights:Using long-read assemblies of 169 human haplotypes, researchers discovered extreme variability in NPIP loci organization and identified both fixed and polymorphic paralogs. They observed ongoing positive selection acting on specific NPIP copies, as well as large inversion polymorphisms and frequent gene conversion events shaping the genomic landscape. Long-read RNA sequencing enabled the construction of paralog-specific gene models, with more than half of the predicted protein isoforms previously undocumented. Expression analysis revealed that certain NPIP paralogs show brain-enriched patterns, while others maintain testis-specific expression, suggesting lineage-specific neofunctionalization.
 Conclusion:This study highlights the dynamic evolutionary trajectory of the NPIP gene family and provides a foundation for linking its variation to human phenotypes and disease.
 Reference:Dishuck, P.C., Munson, K.M., Lewis, A.P., Dougherty, M.L., Underwood, J.G., Harvey, W.T., Hsieh, P., Pastinen, T., & Eichler, E.E. (2025). Structural variation, selection, and diversification of the NPIP gene family from the human pangenome. *Cell Genomics*, 5, 100977. https://doi.org/10.1016/j.xgen.2025.100977
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: NPIP gene family, human pangenome, positive selection, structural variation, long-read sequencing]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2133885/c1a-p6xp7-9jqzv8x5a3g2-utefd1.png"></itunes:image>
                                                                            <itunes:duration>00:22:11</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[128: LINE‑1 Promoters Orchestrate Early Human Brain Development]]>
                </title>
                <pubDate>Fri, 05 Sep 2025 08:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2132920</guid>
                                    <link>https://basebybase.castos.com/episodes/line-1-promoters-orchestrate-early-brain-development</link>
                                <description>
                                            <![CDATA[<p>️ Episode 128: LINE‑1 Promoters Orchestrate Early Human Brain Development</p>
<p> In this episode of PaperCast Base by Base, we explore how evolutionarily young LINE‑1 retrotransposons are actively expressed in human induced pluripotent stem cells and function as cis‑acting promoters that shape primate‑ and human‑specific transcript isoforms during early neural differentiation.</p>
<p> Study Highlights:<br />The authors combine short‑ and long‑read RNA‑seq with CUT&amp;RUN epigenomic profiling and long‑read DNA methylation analysis to map thousands of unique L1 loci expressed in hiPSCs and early cerebral organoids. L1 promoter activity correlates with H3K4me3 enrichment and hypomethylation, and the L1‑derived protein ORF1p is abundant in hiPSCs. Using an optimized KRAB‑dCas9 CRISPR interference system targeting the 5′ UTR, they achieve on‑target silencing of young, full‑length L1s and uncover nearly a hundred L1‑driven chimeric transcripts, including alternative promoter isoforms for protein‑coding genes such as ELAPOR2, PPP1R1C, and PLCB1. In cerebral organoids, L1 expression is globally reduced with differentiation‑coupled remethylation yet remains locus‑specific and variable, and L1 silencing shifts neural progenitor transcriptional programs and yields smaller organoids without altering overall cell‑type composition.</p>
<p> Conclusion:<br />LINE‑1 promoters provide a hominoid‑specific regulatory layer that tunes the exit from pluripotency and the tempo of early human brain development, with implications for human brain evolution and neurodevelopmental disease mechanisms.</p>
<p> Reference:<br />Adami A, Garza R, Gerdes P, Johansson PA, Dorazehi F, Koutounidou S, Castilla‑Vallmanya L, Atacho DAM, Sharma Y, Johansson JG, Tam O, Kirkeby A, Barker RA, Hammell MG, Douse CH, Jakobsson J. LINE‑1 retrotransposons mediate cis‑acting transcriptional control in human pluripotent stem cells and regulate early brain development. Cell Genomics. 2025;5:100979. <a title="https://doi.org/10.1016/j.xgen.2025.100979" href="https://doi.org/10.1016/j.xgen.2025.100979" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xgen.2025.100979</a></p>
<p> License:<br />This episode is based on an open‑access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one‑time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: LINE‑1 retrotransposons; alternative promoters; cerebral organoids; human iPSCs; neural differentiation</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 128: LINE‑1 Promoters Orchestrate Early Human Brain Development
 In this episode of PaperCast Base by Base, we explore how evolutionarily young LINE‑1 retrotransposons are actively expressed in human induced pluripotent stem cells and function as cis‑acting promoters that shape primate‑ and human‑specific transcript isoforms during early neural differentiation.
 Study Highlights:The authors combine short‑ and long‑read RNA‑seq with CUT&RUN epigenomic profiling and long‑read DNA methylation analysis to map thousands of unique L1 loci expressed in hiPSCs and early cerebral organoids. L1 promoter activity correlates with H3K4me3 enrichment and hypomethylation, and the L1‑derived protein ORF1p is abundant in hiPSCs. Using an optimized KRAB‑dCas9 CRISPR interference system targeting the 5′ UTR, they achieve on‑target silencing of young, full‑length L1s and uncover nearly a hundred L1‑driven chimeric transcripts, including alternative promoter isoforms for protein‑coding genes such as ELAPOR2, PPP1R1C, and PLCB1. In cerebral organoids, L1 expression is globally reduced with differentiation‑coupled remethylation yet remains locus‑specific and variable, and L1 silencing shifts neural progenitor transcriptional programs and yields smaller organoids without altering overall cell‑type composition.
 Conclusion:LINE‑1 promoters provide a hominoid‑specific regulatory layer that tunes the exit from pluripotency and the tempo of early human brain development, with implications for human brain evolution and neurodevelopmental disease mechanisms.
 Reference:Adami A, Garza R, Gerdes P, Johansson PA, Dorazehi F, Koutounidou S, Castilla‑Vallmanya L, Atacho DAM, Sharma Y, Johansson JG, Tam O, Kirkeby A, Barker RA, Hammell MG, Douse CH, Jakobsson J. LINE‑1 retrotransposons mediate cis‑acting transcriptional control in human pluripotent stem cells and regulate early brain development. Cell Genomics. 2025;5:100979. https://doi.org/10.1016/j.xgen.2025.100979
 License:This episode is based on an open‑access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one‑time or monthly donation here: https://basebybase.castos.com/
Keywords: LINE‑1 retrotransposons; alternative promoters; cerebral organoids; human iPSCs; neural differentiation]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[128: LINE‑1 Promoters Orchestrate Early Human Brain Development]]>
                </itunes:title>
                                    <itunes:episode>128</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 128: LINE‑1 Promoters Orchestrate Early Human Brain Development</p>
<p> In this episode of PaperCast Base by Base, we explore how evolutionarily young LINE‑1 retrotransposons are actively expressed in human induced pluripotent stem cells and function as cis‑acting promoters that shape primate‑ and human‑specific transcript isoforms during early neural differentiation.</p>
<p> Study Highlights:<br />The authors combine short‑ and long‑read RNA‑seq with CUT&amp;RUN epigenomic profiling and long‑read DNA methylation analysis to map thousands of unique L1 loci expressed in hiPSCs and early cerebral organoids. L1 promoter activity correlates with H3K4me3 enrichment and hypomethylation, and the L1‑derived protein ORF1p is abundant in hiPSCs. Using an optimized KRAB‑dCas9 CRISPR interference system targeting the 5′ UTR, they achieve on‑target silencing of young, full‑length L1s and uncover nearly a hundred L1‑driven chimeric transcripts, including alternative promoter isoforms for protein‑coding genes such as ELAPOR2, PPP1R1C, and PLCB1. In cerebral organoids, L1 expression is globally reduced with differentiation‑coupled remethylation yet remains locus‑specific and variable, and L1 silencing shifts neural progenitor transcriptional programs and yields smaller organoids without altering overall cell‑type composition.</p>
<p> Conclusion:<br />LINE‑1 promoters provide a hominoid‑specific regulatory layer that tunes the exit from pluripotency and the tempo of early human brain development, with implications for human brain evolution and neurodevelopmental disease mechanisms.</p>
<p> Reference:<br />Adami A, Garza R, Gerdes P, Johansson PA, Dorazehi F, Koutounidou S, Castilla‑Vallmanya L, Atacho DAM, Sharma Y, Johansson JG, Tam O, Kirkeby A, Barker RA, Hammell MG, Douse CH, Jakobsson J. LINE‑1 retrotransposons mediate cis‑acting transcriptional control in human pluripotent stem cells and regulate early brain development. Cell Genomics. 2025;5:100979. <a title="https://doi.org/10.1016/j.xgen.2025.100979" href="https://doi.org/10.1016/j.xgen.2025.100979" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xgen.2025.100979</a></p>
<p> License:<br />This episode is based on an open‑access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one‑time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: LINE‑1 retrotransposons; alternative promoters; cerebral organoids; human iPSCs; neural differentiation</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[️ Episode 128: LINE‑1 Promoters Orchestrate Early Human Brain Development
 In this episode of PaperCast Base by Base, we explore how evolutionarily young LINE‑1 retrotransposons are actively expressed in human induced pluripotent stem cells and function as cis‑acting promoters that shape primate‑ and human‑specific transcript isoforms during early neural differentiation.
 Study Highlights:The authors combine short‑ and long‑read RNA‑seq with CUT&RUN epigenomic profiling and long‑read DNA methylation analysis to map thousands of unique L1 loci expressed in hiPSCs and early cerebral organoids. L1 promoter activity correlates with H3K4me3 enrichment and hypomethylation, and the L1‑derived protein ORF1p is abundant in hiPSCs. Using an optimized KRAB‑dCas9 CRISPR interference system targeting the 5′ UTR, they achieve on‑target silencing of young, full‑length L1s and uncover nearly a hundred L1‑driven chimeric transcripts, including alternative promoter isoforms for protein‑coding genes such as ELAPOR2, PPP1R1C, and PLCB1. In cerebral organoids, L1 expression is globally reduced with differentiation‑coupled remethylation yet remains locus‑specific and variable, and L1 silencing shifts neural progenitor transcriptional programs and yields smaller organoids without altering overall cell‑type composition.
 Conclusion:LINE‑1 promoters provide a hominoid‑specific regulatory layer that tunes the exit from pluripotency and the tempo of early human brain development, with implications for human brain evolution and neurodevelopmental disease mechanisms.
 Reference:Adami A, Garza R, Gerdes P, Johansson PA, Dorazehi F, Koutounidou S, Castilla‑Vallmanya L, Atacho DAM, Sharma Y, Johansson JG, Tam O, Kirkeby A, Barker RA, Hammell MG, Douse CH, Jakobsson J. LINE‑1 retrotransposons mediate cis‑acting transcriptional control in human pluripotent stem cells and regulate early brain development. Cell Genomics. 2025;5:100979. https://doi.org/10.1016/j.xgen.2025.100979
 License:This episode is based on an open‑access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one‑time or monthly donation here: https://basebybase.castos.com/
Keywords: LINE‑1 retrotransposons; alternative promoters; cerebral organoids; human iPSCs; neural differentiation]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2132920/c1a-p6xp7-8dqj6npxu0x8-8kkbjt.png"></itunes:image>
                                                                            <itunes:duration>00:15:26</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[127: In silico generation of synthetic cancer genomes using generative AI]]>
                </title>
                <pubDate>Thu, 04 Sep 2025 08:59:58 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2131943</guid>
                                    <link>https://basebybase.castos.com/episodes/in-silico-generation-of-synthetic-cancer-genomes</link>
                                <description>
                                            <![CDATA[<p>️ Episode 127: In silico generation of synthetic cancer genomes using generative AI</p>
<p> In this episode of PaperCast Base by Base, we explore OncoGAN, a generative AI pipeline designed to produce highly realistic synthetic cancer genomes. The study addresses the challenge of limited access to real cancer genomes due to privacy concerns by creating shareable, simulated datasets that preserve donor confidentiality.</p>
<p> Study Highlights:<br />The authors developed OncoGAN, a multimodel ensemble combining GANs, tabular variational autoencoders, and random sampling strategies trained on large-scale cancer genome datasets. The pipeline accurately reproduces somatic mutations, copy number alterations, and structural variants across tumor types, while maintaining tumor-specific mutational signatures and positional mutation patterns. Validation using DeepTumour demonstrated that the synthetic data closely mirrors real tumor genomes and can improve classification models when used to augment training datasets. Importantly, the simulated genomes are fully open access, overcoming the barriers of restricted patient data sharing and providing valuable resources for benchmarking and improving cancer genome analysis tools.</p>
<p> Conclusion:<br />OncoGAN represents a major advance in generating synthetic cancer genomes, enabling open, privacy-preserving data sharing while enhancing the development and benchmarking of genomic analysis tools.</p>
<p> Reference:<br />Díaz-Navarro, A., Zhang, X., Jiao, W., Wang, B., &amp; Stein, L. (2025). In silico generation of synthetic cancer genomes using generative AI. Cell Genomics, 5, 100969. <a title="https://doi.org/10.1016/j.xgen.2025.100969" href="https://doi.org/10.1016/j.xgen.2025.100969" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xgen.2025.100969</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: synthetic genomes, OncoGAN, cancer genomics, generative AI, data privacy</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 127: In silico generation of synthetic cancer genomes using generative AI
 In this episode of PaperCast Base by Base, we explore OncoGAN, a generative AI pipeline designed to produce highly realistic synthetic cancer genomes. The study addresses the challenge of limited access to real cancer genomes due to privacy concerns by creating shareable, simulated datasets that preserve donor confidentiality.
 Study Highlights:The authors developed OncoGAN, a multimodel ensemble combining GANs, tabular variational autoencoders, and random sampling strategies trained on large-scale cancer genome datasets. The pipeline accurately reproduces somatic mutations, copy number alterations, and structural variants across tumor types, while maintaining tumor-specific mutational signatures and positional mutation patterns. Validation using DeepTumour demonstrated that the synthetic data closely mirrors real tumor genomes and can improve classification models when used to augment training datasets. Importantly, the simulated genomes are fully open access, overcoming the barriers of restricted patient data sharing and providing valuable resources for benchmarking and improving cancer genome analysis tools.
 Conclusion:OncoGAN represents a major advance in generating synthetic cancer genomes, enabling open, privacy-preserving data sharing while enhancing the development and benchmarking of genomic analysis tools.
 Reference:Díaz-Navarro, A., Zhang, X., Jiao, W., Wang, B., & Stein, L. (2025). In silico generation of synthetic cancer genomes using generative AI. Cell Genomics, 5, 100969. https://doi.org/10.1016/j.xgen.2025.100969
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: synthetic genomes, OncoGAN, cancer genomics, generative AI, data privacy]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[127: In silico generation of synthetic cancer genomes using generative AI]]>
                </itunes:title>
                                    <itunes:episode>127</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 127: In silico generation of synthetic cancer genomes using generative AI</p>
<p> In this episode of PaperCast Base by Base, we explore OncoGAN, a generative AI pipeline designed to produce highly realistic synthetic cancer genomes. The study addresses the challenge of limited access to real cancer genomes due to privacy concerns by creating shareable, simulated datasets that preserve donor confidentiality.</p>
<p> Study Highlights:<br />The authors developed OncoGAN, a multimodel ensemble combining GANs, tabular variational autoencoders, and random sampling strategies trained on large-scale cancer genome datasets. The pipeline accurately reproduces somatic mutations, copy number alterations, and structural variants across tumor types, while maintaining tumor-specific mutational signatures and positional mutation patterns. Validation using DeepTumour demonstrated that the synthetic data closely mirrors real tumor genomes and can improve classification models when used to augment training datasets. Importantly, the simulated genomes are fully open access, overcoming the barriers of restricted patient data sharing and providing valuable resources for benchmarking and improving cancer genome analysis tools.</p>
<p> Conclusion:<br />OncoGAN represents a major advance in generating synthetic cancer genomes, enabling open, privacy-preserving data sharing while enhancing the development and benchmarking of genomic analysis tools.</p>
<p> Reference:<br />Díaz-Navarro, A., Zhang, X., Jiao, W., Wang, B., &amp; Stein, L. (2025). In silico generation of synthetic cancer genomes using generative AI. Cell Genomics, 5, 100969. <a title="https://doi.org/10.1016/j.xgen.2025.100969" href="https://doi.org/10.1016/j.xgen.2025.100969" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.xgen.2025.100969</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: synthetic genomes, OncoGAN, cancer genomics, generative AI, data privacy</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[️ Episode 127: In silico generation of synthetic cancer genomes using generative AI
 In this episode of PaperCast Base by Base, we explore OncoGAN, a generative AI pipeline designed to produce highly realistic synthetic cancer genomes. The study addresses the challenge of limited access to real cancer genomes due to privacy concerns by creating shareable, simulated datasets that preserve donor confidentiality.
 Study Highlights:The authors developed OncoGAN, a multimodel ensemble combining GANs, tabular variational autoencoders, and random sampling strategies trained on large-scale cancer genome datasets. The pipeline accurately reproduces somatic mutations, copy number alterations, and structural variants across tumor types, while maintaining tumor-specific mutational signatures and positional mutation patterns. Validation using DeepTumour demonstrated that the synthetic data closely mirrors real tumor genomes and can improve classification models when used to augment training datasets. Importantly, the simulated genomes are fully open access, overcoming the barriers of restricted patient data sharing and providing valuable resources for benchmarking and improving cancer genome analysis tools.
 Conclusion:OncoGAN represents a major advance in generating synthetic cancer genomes, enabling open, privacy-preserving data sharing while enhancing the development and benchmarking of genomic analysis tools.
 Reference:Díaz-Navarro, A., Zhang, X., Jiao, W., Wang, B., & Stein, L. (2025). In silico generation of synthetic cancer genomes using generative AI. Cell Genomics, 5, 100969. https://doi.org/10.1016/j.xgen.2025.100969
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: synthetic genomes, OncoGAN, cancer genomics, generative AI, data privacy]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2131943/c1a-p6xp7-pkx6og5gcpz-6tp4l3.png"></itunes:image>
                                                                            <itunes:duration>00:17:36</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[126: Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models]]>
                </title>
                <pubDate>Wed, 03 Sep 2025 08:52:39 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2130441</guid>
                                    <link>https://basebybase.castos.com/episodes/molecular-and-developmental-deficits-in-smith-magenis-syndrome</link>
                                <description>
                                            <![CDATA[<p>️ Episode 126: Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models</p>
<p> In this episode of PaperCast Base by Base, we explore a study that investigates the molecular and developmental mechanisms underlying Smith-Magenis syndrome (SMS) using human induced pluripotent stem cell (hiPSC)-derived cortical models. The research focuses on how the deletion at chromosome 17p11.2 disrupts cortical development and contributes to neurological deficits.</p>
<p> Study Highlights:<br />The authors developed both 2D cortical neurons and 3D cortical organoids from SMS hiPSCs to model human corticogenesis. Hi-C analyses revealed widespread chromatin miswiring, including fusion and reorganization of topological domains. Single-nucleus RNA sequencing uncovered transcriptional signatures linked to neuropsychiatric disorders and dysregulation of genes involved in metabolism, the cell cycle, and neuronal signaling. SMS organoids exhibited reduced growth, ventriculomegaly-like features, impaired progenitor proliferation, and accelerated neuronal maturation. SMS cortical neurons also displayed increased dendritic growth followed by hyperexcitability due to reduced potassium conductance.</p>
<p> Conclusion:<br />This work demonstrates that deletion at 17p11.2 disrupts multiple stages of human cortical development, highlighting how chromatin architecture changes translate into transcriptional and neurophysiological abnormalities relevant to SMS.</p>
<p> Reference:<br />Lee YJ, Chang YT, Cho Y, Kowalczyk M, Dragoiescu A, Pacis A, Kailasam S, Lefebvre F, Zhang Q, Gao X, Huang WH. Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models. Am J Hum Genet. 2025 Oct 2;112(1):1–25. <a title="https://doi.org/10.1016/j.ajhg.2025.07.020" href="https://doi.org/10.1016/j.ajhg.2025.07.020" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ajhg.2025.07.020</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 126: Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models
 In this episode of PaperCast Base by Base, we explore a study that investigates the molecular and developmental mechanisms underlying Smith-Magenis syndrome (SMS) using human induced pluripotent stem cell (hiPSC)-derived cortical models. The research focuses on how the deletion at chromosome 17p11.2 disrupts cortical development and contributes to neurological deficits.
 Study Highlights:The authors developed both 2D cortical neurons and 3D cortical organoids from SMS hiPSCs to model human corticogenesis. Hi-C analyses revealed widespread chromatin miswiring, including fusion and reorganization of topological domains. Single-nucleus RNA sequencing uncovered transcriptional signatures linked to neuropsychiatric disorders and dysregulation of genes involved in metabolism, the cell cycle, and neuronal signaling. SMS organoids exhibited reduced growth, ventriculomegaly-like features, impaired progenitor proliferation, and accelerated neuronal maturation. SMS cortical neurons also displayed increased dendritic growth followed by hyperexcitability due to reduced potassium conductance.
 Conclusion:This work demonstrates that deletion at 17p11.2 disrupts multiple stages of human cortical development, highlighting how chromatin architecture changes translate into transcriptional and neurophysiological abnormalities relevant to SMS.
 Reference:Lee YJ, Chang YT, Cho Y, Kowalczyk M, Dragoiescu A, Pacis A, Kailasam S, Lefebvre F, Zhang Q, Gao X, Huang WH. Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models. Am J Hum Genet. 2025 Oct 2;112(1):1–25. https://doi.org/10.1016/j.ajhg.2025.07.020
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[126: Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models]]>
                </itunes:title>
                                    <itunes:episode>126</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 126: Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models</p>
<p> In this episode of PaperCast Base by Base, we explore a study that investigates the molecular and developmental mechanisms underlying Smith-Magenis syndrome (SMS) using human induced pluripotent stem cell (hiPSC)-derived cortical models. The research focuses on how the deletion at chromosome 17p11.2 disrupts cortical development and contributes to neurological deficits.</p>
<p> Study Highlights:<br />The authors developed both 2D cortical neurons and 3D cortical organoids from SMS hiPSCs to model human corticogenesis. Hi-C analyses revealed widespread chromatin miswiring, including fusion and reorganization of topological domains. Single-nucleus RNA sequencing uncovered transcriptional signatures linked to neuropsychiatric disorders and dysregulation of genes involved in metabolism, the cell cycle, and neuronal signaling. SMS organoids exhibited reduced growth, ventriculomegaly-like features, impaired progenitor proliferation, and accelerated neuronal maturation. SMS cortical neurons also displayed increased dendritic growth followed by hyperexcitability due to reduced potassium conductance.</p>
<p> Conclusion:<br />This work demonstrates that deletion at 17p11.2 disrupts multiple stages of human cortical development, highlighting how chromatin architecture changes translate into transcriptional and neurophysiological abnormalities relevant to SMS.</p>
<p> Reference:<br />Lee YJ, Chang YT, Cho Y, Kowalczyk M, Dragoiescu A, Pacis A, Kailasam S, Lefebvre F, Zhang Q, Gao X, Huang WH. Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models. Am J Hum Genet. 2025 Oct 2;112(1):1–25. <a title="https://doi.org/10.1016/j.ajhg.2025.07.020" href="https://doi.org/10.1016/j.ajhg.2025.07.020" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ajhg.2025.07.020</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 126: Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models
 In this episode of PaperCast Base by Base, we explore a study that investigates the molecular and developmental mechanisms underlying Smith-Magenis syndrome (SMS) using human induced pluripotent stem cell (hiPSC)-derived cortical models. The research focuses on how the deletion at chromosome 17p11.2 disrupts cortical development and contributes to neurological deficits.
 Study Highlights:The authors developed both 2D cortical neurons and 3D cortical organoids from SMS hiPSCs to model human corticogenesis. Hi-C analyses revealed widespread chromatin miswiring, including fusion and reorganization of topological domains. Single-nucleus RNA sequencing uncovered transcriptional signatures linked to neuropsychiatric disorders and dysregulation of genes involved in metabolism, the cell cycle, and neuronal signaling. SMS organoids exhibited reduced growth, ventriculomegaly-like features, impaired progenitor proliferation, and accelerated neuronal maturation. SMS cortical neurons also displayed increased dendritic growth followed by hyperexcitability due to reduced potassium conductance.
 Conclusion:This work demonstrates that deletion at 17p11.2 disrupts multiple stages of human cortical development, highlighting how chromatin architecture changes translate into transcriptional and neurophysiological abnormalities relevant to SMS.
 Reference:Lee YJ, Chang YT, Cho Y, Kowalczyk M, Dragoiescu A, Pacis A, Kailasam S, Lefebvre F, Zhang Q, Gao X, Huang WH. Molecular and developmental deficits in Smith-Magenis syndrome human stem cell-derived cortical neural models. Am J Hum Genet. 2025 Oct 2;112(1):1–25. https://doi.org/10.1016/j.ajhg.2025.07.020
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2130441/c1a-p6xp7-47xj760qb580-ka2u9g.png"></itunes:image>
                                                                            <itunes:duration>00:20:59</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[125: Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities]]>
                </title>
                <pubDate>Tue, 02 Sep 2025 08:48:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2130437</guid>
                                    <link>https://basebybase.castos.com/episodes/tackling-parkinsons-disease-gp2-global-genetics</link>
                                <description>
                                            <![CDATA[<p>️ Episode 125: Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities</p>
<p>In this episode of PaperCast Base by Base, we explore how the Global Parkinson’s Genetics Program (GP2) is addressing the critical lack of diversity in Parkinson’s disease genetics research. The article outlines the program’s mission to establish a global hub for recruitment, data generation, and collaborative discovery, while reflecting on five years of progress.</p>
<p>Study Highlights:<br />The authors describe the complex challenges of building a sustainable and equitable international research collective to study Parkinson’s disease genetics. GP2 has partnered with 275 research groups worldwide, with over 265,000 subjects committed to the program, and emphasizes the importance of transparency, training, and democratization of data. The article details GP2’s operational priorities, including capacity building in underrepresented populations, development of new infrastructure, and implementation of training programs that support the next generation of scientists. By harmonizing and openly sharing clinical and genetic data, GP2 has already facilitated new discoveries, such as ancestry-specific risk variants, and continues to expand the scope of Parkinson’s research globally.</p>
<p>Conclusion:<br />This work demonstrates how global collaboration and equitable research practices can accelerate genetic discoveries in Parkinson’s disease and pave the way for precision medicine worldwide.</p>
<p>Reference:<br />Blauwendraat, C., Noyce, A. J., Mata, I. F., Screven, L. A., Solle, J., Dumanis, S. B., Riley, E. A., Periñan, M. T., Okubadejo, N., Klein, C., Morris, H. R., Singleton, A. B., and the Global Parkinson’s Genetics Program (GP2). Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities. The American Journal of Human Genetics (2025). <a title="https://doi.org/10.1016/j.ajhg.2025.07.014" href="https://doi.org/10.1016/j.ajhg.2025.07.014" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ajhg.2025.07.014</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 125: Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities
In this episode of PaperCast Base by Base, we explore how the Global Parkinson’s Genetics Program (GP2) is addressing the critical lack of diversity in Parkinson’s disease genetics research. The article outlines the program’s mission to establish a global hub for recruitment, data generation, and collaborative discovery, while reflecting on five years of progress.
Study Highlights:The authors describe the complex challenges of building a sustainable and equitable international research collective to study Parkinson’s disease genetics. GP2 has partnered with 275 research groups worldwide, with over 265,000 subjects committed to the program, and emphasizes the importance of transparency, training, and democratization of data. The article details GP2’s operational priorities, including capacity building in underrepresented populations, development of new infrastructure, and implementation of training programs that support the next generation of scientists. By harmonizing and openly sharing clinical and genetic data, GP2 has already facilitated new discoveries, such as ancestry-specific risk variants, and continues to expand the scope of Parkinson’s research globally.
Conclusion:This work demonstrates how global collaboration and equitable research practices can accelerate genetic discoveries in Parkinson’s disease and pave the way for precision medicine worldwide.
Reference:Blauwendraat, C., Noyce, A. J., Mata, I. F., Screven, L. A., Solle, J., Dumanis, S. B., Riley, E. A., Periñan, M. T., Okubadejo, N., Klein, C., Morris, H. R., Singleton, A. B., and the Global Parkinson’s Genetics Program (GP2). Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities. The American Journal of Human Genetics (2025). https://doi.org/10.1016/j.ajhg.2025.07.014
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[125: Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities]]>
                </itunes:title>
                                    <itunes:episode>125</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 125: Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities</p>
<p>In this episode of PaperCast Base by Base, we explore how the Global Parkinson’s Genetics Program (GP2) is addressing the critical lack of diversity in Parkinson’s disease genetics research. The article outlines the program’s mission to establish a global hub for recruitment, data generation, and collaborative discovery, while reflecting on five years of progress.</p>
<p>Study Highlights:<br />The authors describe the complex challenges of building a sustainable and equitable international research collective to study Parkinson’s disease genetics. GP2 has partnered with 275 research groups worldwide, with over 265,000 subjects committed to the program, and emphasizes the importance of transparency, training, and democratization of data. The article details GP2’s operational priorities, including capacity building in underrepresented populations, development of new infrastructure, and implementation of training programs that support the next generation of scientists. By harmonizing and openly sharing clinical and genetic data, GP2 has already facilitated new discoveries, such as ancestry-specific risk variants, and continues to expand the scope of Parkinson’s research globally.</p>
<p>Conclusion:<br />This work demonstrates how global collaboration and equitable research practices can accelerate genetic discoveries in Parkinson’s disease and pave the way for precision medicine worldwide.</p>
<p>Reference:<br />Blauwendraat, C., Noyce, A. J., Mata, I. F., Screven, L. A., Solle, J., Dumanis, S. B., Riley, E. A., Periñan, M. T., Okubadejo, N., Klein, C., Morris, H. R., Singleton, A. B., and the Global Parkinson’s Genetics Program (GP2). Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities. The American Journal of Human Genetics (2025). <a title="https://doi.org/10.1016/j.ajhg.2025.07.014" href="https://doi.org/10.1016/j.ajhg.2025.07.014" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.ajhg.2025.07.014</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 125: Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities
In this episode of PaperCast Base by Base, we explore how the Global Parkinson’s Genetics Program (GP2) is addressing the critical lack of diversity in Parkinson’s disease genetics research. The article outlines the program’s mission to establish a global hub for recruitment, data generation, and collaborative discovery, while reflecting on five years of progress.
Study Highlights:The authors describe the complex challenges of building a sustainable and equitable international research collective to study Parkinson’s disease genetics. GP2 has partnered with 275 research groups worldwide, with over 265,000 subjects committed to the program, and emphasizes the importance of transparency, training, and democratization of data. The article details GP2’s operational priorities, including capacity building in underrepresented populations, development of new infrastructure, and implementation of training programs that support the next generation of scientists. By harmonizing and openly sharing clinical and genetic data, GP2 has already facilitated new discoveries, such as ancestry-specific risk variants, and continues to expand the scope of Parkinson’s research globally.
Conclusion:This work demonstrates how global collaboration and equitable research practices can accelerate genetic discoveries in Parkinson’s disease and pave the way for precision medicine worldwide.
Reference:Blauwendraat, C., Noyce, A. J., Mata, I. F., Screven, L. A., Solle, J., Dumanis, S. B., Riley, E. A., Periñan, M. T., Okubadejo, N., Klein, C., Morris, H. R., Singleton, A. B., and the Global Parkinson’s Genetics Program (GP2). Tackling a disease on a global scale, the Global Parkinson’s Genetics Program, GP2: A new generation of opportunities. The American Journal of Human Genetics (2025). https://doi.org/10.1016/j.ajhg.2025.07.014
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2130437/c1a-p6xp7-okz6kvpxhmd-lfd3us.png"></itunes:image>
                                                                            <itunes:duration>00:22:46</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[124: Exploring the Omnigenic Architecture of Selected Complex Traits]]>
                </title>
                <pubDate>Mon, 01 Sep 2025 09:04:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2128973</guid>
                                    <link>https://basebybase.castos.com/episodes/exploring-the-omnigenic-architecture-of-selected-complex-traits</link>
                                <description>
                                            <![CDATA[<p>️ Episode 124: Exploring the Omnigenic Architecture of Selected Complex Traits</p>
<p> In this episode of PaperCast Base by Base, we explore how researchers are uncovering the organizational principles behind complex traits through the lens of the omnigenic model. The study focuses on ulcerative colitis as a case example and investigates how core and peripheral genes interact within multi-modal molecular networks to shape disease risk and regulation.</p>
<p> Study Highlights:<br />The authors employed the Speos machine-learning framework to identify core genes for ulcerative colitis and validated their predictions across multiple datasets. Core genes displayed strong tissue-specific expression and robust enrichment in disease-relevant pathways, setting them apart from peripheral genes with similar GWAS signals. Perturbation analyses revealed that nearly one-third of genetic perturbations had distinct effects on core genes compared to peripheral genes, supporting a central assumption of the omnigenic model. Furthermore, co-perturbation simulations highlighted frequent non-linear interactions among core genes, suggesting that genetic regulation involves synergistic and suppressive dynamics not previously accounted for.</p>
<p> Conclusion:<br />These findings expand the omnigenic model by demonstrating that core genes occupy central positions in molecular networks and are subject to coordinated regulation, offering new insights into the missing heritability of complex traits.</p>
<p> Reference:<br />Ratajczak F, Heinig M, Falter-Braun P. Exploring the omnigenic architecture of selected complex traits. Am J Hum Genet. 2025 Sep 4;112(1):1–23. https://doi.org/10.1016/j.ajhg.2025.07.006</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>Keywords: omnigenic model, core genes, ulcerative colitis, machine learning, complex traits</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 124: Exploring the Omnigenic Architecture of Selected Complex Traits
 In this episode of PaperCast Base by Base, we explore how researchers are uncovering the organizational principles behind complex traits through the lens of the omnigenic model. The study focuses on ulcerative colitis as a case example and investigates how core and peripheral genes interact within multi-modal molecular networks to shape disease risk and regulation.
 Study Highlights:The authors employed the Speos machine-learning framework to identify core genes for ulcerative colitis and validated their predictions across multiple datasets. Core genes displayed strong tissue-specific expression and robust enrichment in disease-relevant pathways, setting them apart from peripheral genes with similar GWAS signals. Perturbation analyses revealed that nearly one-third of genetic perturbations had distinct effects on core genes compared to peripheral genes, supporting a central assumption of the omnigenic model. Furthermore, co-perturbation simulations highlighted frequent non-linear interactions among core genes, suggesting that genetic regulation involves synergistic and suppressive dynamics not previously accounted for.
 Conclusion:These findings expand the omnigenic model by demonstrating that core genes occupy central positions in molecular networks and are subject to coordinated regulation, offering new insights into the missing heritability of complex traits.
 Reference:Ratajczak F, Heinig M, Falter-Braun P. Exploring the omnigenic architecture of selected complex traits. Am J Hum Genet. 2025 Sep 4;112(1):1–23. https://doi.org/10.1016/j.ajhg.2025.07.006
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: omnigenic model, core genes, ulcerative colitis, machine learning, complex traits]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[124: Exploring the Omnigenic Architecture of Selected Complex Traits]]>
                </itunes:title>
                                    <itunes:episode>124</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 124: Exploring the Omnigenic Architecture of Selected Complex Traits</p>
<p> In this episode of PaperCast Base by Base, we explore how researchers are uncovering the organizational principles behind complex traits through the lens of the omnigenic model. The study focuses on ulcerative colitis as a case example and investigates how core and peripheral genes interact within multi-modal molecular networks to shape disease risk and regulation.</p>
<p> Study Highlights:<br />The authors employed the Speos machine-learning framework to identify core genes for ulcerative colitis and validated their predictions across multiple datasets. Core genes displayed strong tissue-specific expression and robust enrichment in disease-relevant pathways, setting them apart from peripheral genes with similar GWAS signals. Perturbation analyses revealed that nearly one-third of genetic perturbations had distinct effects on core genes compared to peripheral genes, supporting a central assumption of the omnigenic model. Furthermore, co-perturbation simulations highlighted frequent non-linear interactions among core genes, suggesting that genetic regulation involves synergistic and suppressive dynamics not previously accounted for.</p>
<p> Conclusion:<br />These findings expand the omnigenic model by demonstrating that core genes occupy central positions in molecular networks and are subject to coordinated regulation, offering new insights into the missing heritability of complex traits.</p>
<p> Reference:<br />Ratajczak F, Heinig M, Falter-Braun P. Exploring the omnigenic architecture of selected complex traits. Am J Hum Genet. 2025 Sep 4;112(1):1–23. https://doi.org/10.1016/j.ajhg.2025.07.006</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>Keywords: omnigenic model, core genes, ulcerative colitis, machine learning, complex traits</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[️ Episode 124: Exploring the Omnigenic Architecture of Selected Complex Traits
 In this episode of PaperCast Base by Base, we explore how researchers are uncovering the organizational principles behind complex traits through the lens of the omnigenic model. The study focuses on ulcerative colitis as a case example and investigates how core and peripheral genes interact within multi-modal molecular networks to shape disease risk and regulation.
 Study Highlights:The authors employed the Speos machine-learning framework to identify core genes for ulcerative colitis and validated their predictions across multiple datasets. Core genes displayed strong tissue-specific expression and robust enrichment in disease-relevant pathways, setting them apart from peripheral genes with similar GWAS signals. Perturbation analyses revealed that nearly one-third of genetic perturbations had distinct effects on core genes compared to peripheral genes, supporting a central assumption of the omnigenic model. Furthermore, co-perturbation simulations highlighted frequent non-linear interactions among core genes, suggesting that genetic regulation involves synergistic and suppressive dynamics not previously accounted for.
 Conclusion:These findings expand the omnigenic model by demonstrating that core genes occupy central positions in molecular networks and are subject to coordinated regulation, offering new insights into the missing heritability of complex traits.
 Reference:Ratajczak F, Heinig M, Falter-Braun P. Exploring the omnigenic architecture of selected complex traits. Am J Hum Genet. 2025 Sep 4;112(1):1–23. https://doi.org/10.1016/j.ajhg.2025.07.006
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: omnigenic model, core genes, ulcerative colitis, machine learning, complex traits]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2128973/c1a-p6xp7-347w8z55a0mp-fiuwyk.png"></itunes:image>
                                                                            <itunes:duration>00:23:47</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[123: Dominant‑Negative ATP5F1A Variants Uncouple Complex V and Drive Neurological Disease]]>
                </title>
                <pubDate>Sun, 31 Aug 2025 11:50:11 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                    <link>https://basebybase.castos.com/episodes/dominant-negative-atp5f1a-uncouples-complex</link>
                                <description>
                                            <![CDATA[<p>️ Episode 123: Dominant‑Negative ATP5F1A Variants Uncouple Complex V and Drive Neurological Disease</p>
<p> In this episode of PaperCast Base by Base, we explore how de novo heterozygous ATP5F1A missense variants disrupt mitochondrial ATP synthase and manifest as pediatric neurological disorders, revealing a dominant‑negative mechanism and an isolated Complex V defect.</p>
<p><br /> Study Highlights:<br />The authors describe six probands with developmental delay, dystonia, pyramidal tract signs and failure to thrive, each carrying ATP5F1A variants clustered at the α–β or α–γ interfaces of the F1 sector of ATP synthase. In vivo CRISPR knock‑ins of orthologous variants in C. elegans behaved dominantly, slowed development and locomotion, and activated a mitochondrial stress response that was dose‑dependently suppressed by adding wild‑type gene copies. Patient‑derived cells showed reduced abundance and ATPase activity of Complex V, with increased oxygen consumption but decreased mitochondrial membrane potential and ATP levels, indicating uncoupled oxidative phosphorylation. Structural modeling supported disrupted subunit interactions, and proteomics demonstrated an isolated Complex V deficiency distinct from earlier reports for other ATP5F1A alterations.</p>
<p><br /> Conclusion:<br />This work expands the genetic and phenotypic spectrum of ATP5F1A‑related disease and establishes ATP5F1A as a leading nuclear cause of Complex V deficiency while highlighting organismal modeling as a powerful approach to resolve variants of uncertain significance.</p>
<p><br /> Reference:<br />Fielder SM, Friederich MW, Hock DH, Zhang JR, Valin LM, Rosenfeld JA, Booth KTA, Brown NJ, Rius R, Sharma T, Semcesen LN, Worley KC, Burrage LC, Treat K, Samson T, Govert S, DaCunha S, Yuan W, Chen J, Lesinski J, Hoang H, Morrison SA, Ladha FA, Van Hove R, Michel CR, Reisdorph R, Tycksen E, Baldridge D, Silverman GA, Soler‑Alfonso C, Conboy E, Vetrini F, Emrick L, Craigen WJ, Undiagnosed Diseases Network, Sykes SM, Stroud DA, Van Hove JLK, Schedl T, Pak SC. Dominant negative ATP5F1A variants disrupt oxidative phosphorylation causing neurological disorders. EMBO Molecular Medicine. 2025.  <a title="https://doi.org/10.1038/s44321-025-00290-8" href="https://doi.org/10.1038/s44321-025-00290-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s44321-025-00290-8</a></p>
<p><br /> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p><br /> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> </p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p><br /> Keywords: ATP5F1A; Complex V; dominant negative; mitochondrial uncoupling; neurological disorders</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Genetics of mitochondrial dysfunction in children</li><li>(00:06:38) - The mitochondrial DNA defects of the PR207</li><li>(00:11:22) - Mitochondrial diseases 7, Uncoupling</li><li>(00:15:34) - What do you think are the biggest hurdles to using this kind of</li><li>(00:16:39) - Mitochondrial ATP synthase dysregulation</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 123: Dominant‑Negative ATP5F1A Variants Uncouple Complex V and Drive Neurological Disease
 In this episode of PaperCast Base by Base, we explore how de novo heterozygous ATP5F1A missense variants disrupt mitochondrial ATP synthase and manifest as pediatric neurological disorders, revealing a dominant‑negative mechanism and an isolated Complex V defect.
 Study Highlights:The authors describe six probands with developmental delay, dystonia, pyramidal tract signs and failure to thrive, each carrying ATP5F1A variants clustered at the α–β or α–γ interfaces of the F1 sector of ATP synthase. In vivo CRISPR knock‑ins of orthologous variants in C. elegans behaved dominantly, slowed development and locomotion, and activated a mitochondrial stress response that was dose‑dependently suppressed by adding wild‑type gene copies. Patient‑derived cells showed reduced abundance and ATPase activity of Complex V, with increased oxygen consumption but decreased mitochondrial membrane potential and ATP levels, indicating uncoupled oxidative phosphorylation. Structural modeling supported disrupted subunit interactions, and proteomics demonstrated an isolated Complex V deficiency distinct from earlier reports for other ATP5F1A alterations.
 Conclusion:This work expands the genetic and phenotypic spectrum of ATP5F1A‑related disease and establishes ATP5F1A as a leading nuclear cause of Complex V deficiency while highlighting organismal modeling as a powerful approach to resolve variants of uncertain significance.
 Reference:Fielder SM, Friederich MW, Hock DH, Zhang JR, Valin LM, Rosenfeld JA, Booth KTA, Brown NJ, Rius R, Sharma T, Semcesen LN, Worley KC, Burrage LC, Treat K, Samson T, Govert S, DaCunha S, Yuan W, Chen J, Lesinski J, Hoang H, Morrison SA, Ladha FA, Van Hove R, Michel CR, Reisdorph R, Tycksen E, Baldridge D, Silverman GA, Soler‑Alfonso C, Conboy E, Vetrini F, Emrick L, Craigen WJ, Undiagnosed Diseases Network, Sykes SM, Stroud DA, Van Hove JLK, Schedl T, Pak SC. Dominant negative ATP5F1A variants disrupt oxidative phosphorylation causing neurological disorders. EMBO Molecular Medicine. 2025.  https://doi.org/10.1038/s44321-025-00290-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Keywords: ATP5F1A; Complex V; dominant negative; mitochondrial uncoupling; neurological disorders]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[123: Dominant‑Negative ATP5F1A Variants Uncouple Complex V and Drive Neurological Disease]]>
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                                    <itunes:episode>123</itunes:episode>
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                    <![CDATA[<p>️ Episode 123: Dominant‑Negative ATP5F1A Variants Uncouple Complex V and Drive Neurological Disease</p>
<p> In this episode of PaperCast Base by Base, we explore how de novo heterozygous ATP5F1A missense variants disrupt mitochondrial ATP synthase and manifest as pediatric neurological disorders, revealing a dominant‑negative mechanism and an isolated Complex V defect.</p>
<p><br /> Study Highlights:<br />The authors describe six probands with developmental delay, dystonia, pyramidal tract signs and failure to thrive, each carrying ATP5F1A variants clustered at the α–β or α–γ interfaces of the F1 sector of ATP synthase. In vivo CRISPR knock‑ins of orthologous variants in C. elegans behaved dominantly, slowed development and locomotion, and activated a mitochondrial stress response that was dose‑dependently suppressed by adding wild‑type gene copies. Patient‑derived cells showed reduced abundance and ATPase activity of Complex V, with increased oxygen consumption but decreased mitochondrial membrane potential and ATP levels, indicating uncoupled oxidative phosphorylation. Structural modeling supported disrupted subunit interactions, and proteomics demonstrated an isolated Complex V deficiency distinct from earlier reports for other ATP5F1A alterations.</p>
<p><br /> Conclusion:<br />This work expands the genetic and phenotypic spectrum of ATP5F1A‑related disease and establishes ATP5F1A as a leading nuclear cause of Complex V deficiency while highlighting organismal modeling as a powerful approach to resolve variants of uncertain significance.</p>
<p><br /> Reference:<br />Fielder SM, Friederich MW, Hock DH, Zhang JR, Valin LM, Rosenfeld JA, Booth KTA, Brown NJ, Rius R, Sharma T, Semcesen LN, Worley KC, Burrage LC, Treat K, Samson T, Govert S, DaCunha S, Yuan W, Chen J, Lesinski J, Hoang H, Morrison SA, Ladha FA, Van Hove R, Michel CR, Reisdorph R, Tycksen E, Baldridge D, Silverman GA, Soler‑Alfonso C, Conboy E, Vetrini F, Emrick L, Craigen WJ, Undiagnosed Diseases Network, Sykes SM, Stroud DA, Van Hove JLK, Schedl T, Pak SC. Dominant negative ATP5F1A variants disrupt oxidative phosphorylation causing neurological disorders. EMBO Molecular Medicine. 2025.  <a title="https://doi.org/10.1038/s44321-025-00290-8" href="https://doi.org/10.1038/s44321-025-00290-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s44321-025-00290-8</a></p>
<p><br /> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p><br /> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p> </p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p><br /> Keywords: ATP5F1A; Complex V; dominant negative; mitochondrial uncoupling; neurological disorders</p>]]>
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                    <![CDATA[️ Episode 123: Dominant‑Negative ATP5F1A Variants Uncouple Complex V and Drive Neurological Disease
 In this episode of PaperCast Base by Base, we explore how de novo heterozygous ATP5F1A missense variants disrupt mitochondrial ATP synthase and manifest as pediatric neurological disorders, revealing a dominant‑negative mechanism and an isolated Complex V defect.
 Study Highlights:The authors describe six probands with developmental delay, dystonia, pyramidal tract signs and failure to thrive, each carrying ATP5F1A variants clustered at the α–β or α–γ interfaces of the F1 sector of ATP synthase. In vivo CRISPR knock‑ins of orthologous variants in C. elegans behaved dominantly, slowed development and locomotion, and activated a mitochondrial stress response that was dose‑dependently suppressed by adding wild‑type gene copies. Patient‑derived cells showed reduced abundance and ATPase activity of Complex V, with increased oxygen consumption but decreased mitochondrial membrane potential and ATP levels, indicating uncoupled oxidative phosphorylation. Structural modeling supported disrupted subunit interactions, and proteomics demonstrated an isolated Complex V deficiency distinct from earlier reports for other ATP5F1A alterations.
 Conclusion:This work expands the genetic and phenotypic spectrum of ATP5F1A‑related disease and establishes ATP5F1A as a leading nuclear cause of Complex V deficiency while highlighting organismal modeling as a powerful approach to resolve variants of uncertain significance.
 Reference:Fielder SM, Friederich MW, Hock DH, Zhang JR, Valin LM, Rosenfeld JA, Booth KTA, Brown NJ, Rius R, Sharma T, Semcesen LN, Worley KC, Burrage LC, Treat K, Samson T, Govert S, DaCunha S, Yuan W, Chen J, Lesinski J, Hoang H, Morrison SA, Ladha FA, Van Hove R, Michel CR, Reisdorph R, Tycksen E, Baldridge D, Silverman GA, Soler‑Alfonso C, Conboy E, Vetrini F, Emrick L, Craigen WJ, Undiagnosed Diseases Network, Sykes SM, Stroud DA, Van Hove JLK, Schedl T, Pak SC. Dominant negative ATP5F1A variants disrupt oxidative phosphorylation causing neurological disorders. EMBO Molecular Medicine. 2025.  https://doi.org/10.1038/s44321-025-00290-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Keywords: ATP5F1A; Complex V; dominant negative; mitochondrial uncoupling; neurological disorders]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:18:12</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                    <item>
                <title>
                    <![CDATA[122: Patient Stratification Reveals the Molecular Basis of Disease Co-Occurrences]]>
                </title>
                <pubDate>Sat, 30 Aug 2025 09:01:22 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2127721</guid>
                                    <link>https://basebybase.castos.com/episodes/patient-stratification-reveals-the-molecular-basis-of-disease-c</link>
                                <description>
                                            <![CDATA[<p><br />️ Episode 122: Patient Stratification Reveals the Molecular Basis of Disease Co-Occurrences</p>
<p> In this episode of PaperCast Base by Base, we explore a study that investigates the molecular underpinnings of why certain diseases tend to co-occur. By using large-scale RNA sequencing data, the authors present a novel approach to identify disease co-occurrences, revealing a shared molecular basis in many comorbidities, particularly involving the immune system. The study introduces patient stratification based on gene expression profiles, which uncovers known and potential new disease associations, providing a framework for personalized approaches to managing comorbidities.</p>
<p> Study Highlights:<br />The researchers developed a Disease Similarity Network (DSN) that uses gene expression data to map disease relationships, explaining 64% of known disease co-occurrences. They demonstrate that many comorbidities, such as inflammatory bowel disease (IBD) and various cancers, share common molecular pathways, particularly immune-related processes. The study also identifies previously underdiagnosed comorbidities, offering insights that could inform therapeutic strategies. A web application is provided for exploring these molecular insights and the relationships between diseases and their associated molecular mechanisms.</p>
<p> Conclusion:<br />This work underscores the importance of patient stratification and molecular profiling in understanding disease co-occurrences, potentially improving diagnosis and treatment by revealing hidden connections between diseases.</p>
<p> Reference:<br />Urda-García, B., Sánchez-Valle, J., Lepore, R., &amp; Valencia, A. (2025). Patient stratification reveals the molecular basis of disease co-occurrences. *Proceedings of the National Academy of Sciences, 122*(35), e2421060122. <a title="https://doi.org/10.1073/pnas.2421060122" href="https://doi.org/10.1073/pnas.2421060122" target="_blank" rel="noreferrer noopener">https://doi.org/10.1073/pnas.2421060122</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base, you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p>Keywords: disease co-occurrence, RNA sequencing, patient stratification, immune system, molecular mechanisms.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Deep Dive: The molecular logic of disease co-occurrences</li><li>(00:04:43) - RNA Sequencing: the game changer</li><li>(00:06:55) - The Nature of the Disease similarity network</li><li>(00:09:52) - Discovery of the disease network</li><li>(00:12:56) - The Social Science Network (SSN) and the Metapat</li><li>(00:16:56) - Measuring the molecular basis of diseases</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 122: Patient Stratification Reveals the Molecular Basis of Disease Co-Occurrences
 In this episode of PaperCast Base by Base, we explore a study that investigates the molecular underpinnings of why certain diseases tend to co-occur. By using large-scale RNA sequencing data, the authors present a novel approach to identify disease co-occurrences, revealing a shared molecular basis in many comorbidities, particularly involving the immune system. The study introduces patient stratification based on gene expression profiles, which uncovers known and potential new disease associations, providing a framework for personalized approaches to managing comorbidities.
 Study Highlights:The researchers developed a Disease Similarity Network (DSN) that uses gene expression data to map disease relationships, explaining 64% of known disease co-occurrences. They demonstrate that many comorbidities, such as inflammatory bowel disease (IBD) and various cancers, share common molecular pathways, particularly immune-related processes. The study also identifies previously underdiagnosed comorbidities, offering insights that could inform therapeutic strategies. A web application is provided for exploring these molecular insights and the relationships between diseases and their associated molecular mechanisms.
 Conclusion:This work underscores the importance of patient stratification and molecular profiling in understanding disease co-occurrences, potentially improving diagnosis and treatment by revealing hidden connections between diseases.
 Reference:Urda-García, B., Sánchez-Valle, J., Lepore, R., & Valencia, A. (2025). Patient stratification reveals the molecular basis of disease co-occurrences. *Proceedings of the National Academy of Sciences, 122*(35), e2421060122. https://doi.org/10.1073/pnas.2421060122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base, you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
Keywords: disease co-occurrence, RNA sequencing, patient stratification, immune system, molecular mechanisms.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[122: Patient Stratification Reveals the Molecular Basis of Disease Co-Occurrences]]>
                </itunes:title>
                                    <itunes:episode>122</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p><br />️ Episode 122: Patient Stratification Reveals the Molecular Basis of Disease Co-Occurrences</p>
<p> In this episode of PaperCast Base by Base, we explore a study that investigates the molecular underpinnings of why certain diseases tend to co-occur. By using large-scale RNA sequencing data, the authors present a novel approach to identify disease co-occurrences, revealing a shared molecular basis in many comorbidities, particularly involving the immune system. The study introduces patient stratification based on gene expression profiles, which uncovers known and potential new disease associations, providing a framework for personalized approaches to managing comorbidities.</p>
<p> Study Highlights:<br />The researchers developed a Disease Similarity Network (DSN) that uses gene expression data to map disease relationships, explaining 64% of known disease co-occurrences. They demonstrate that many comorbidities, such as inflammatory bowel disease (IBD) and various cancers, share common molecular pathways, particularly immune-related processes. The study also identifies previously underdiagnosed comorbidities, offering insights that could inform therapeutic strategies. A web application is provided for exploring these molecular insights and the relationships between diseases and their associated molecular mechanisms.</p>
<p> Conclusion:<br />This work underscores the importance of patient stratification and molecular profiling in understanding disease co-occurrences, potentially improving diagnosis and treatment by revealing hidden connections between diseases.</p>
<p> Reference:<br />Urda-García, B., Sánchez-Valle, J., Lepore, R., &amp; Valencia, A. (2025). Patient stratification reveals the molecular basis of disease co-occurrences. *Proceedings of the National Academy of Sciences, 122*(35), e2421060122. <a title="https://doi.org/10.1073/pnas.2421060122" href="https://doi.org/10.1073/pnas.2421060122" target="_blank" rel="noreferrer noopener">https://doi.org/10.1073/pnas.2421060122</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base, you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p>Keywords: disease co-occurrence, RNA sequencing, patient stratification, immune system, molecular mechanisms.</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 122: Patient Stratification Reveals the Molecular Basis of Disease Co-Occurrences
 In this episode of PaperCast Base by Base, we explore a study that investigates the molecular underpinnings of why certain diseases tend to co-occur. By using large-scale RNA sequencing data, the authors present a novel approach to identify disease co-occurrences, revealing a shared molecular basis in many comorbidities, particularly involving the immune system. The study introduces patient stratification based on gene expression profiles, which uncovers known and potential new disease associations, providing a framework for personalized approaches to managing comorbidities.
 Study Highlights:The researchers developed a Disease Similarity Network (DSN) that uses gene expression data to map disease relationships, explaining 64% of known disease co-occurrences. They demonstrate that many comorbidities, such as inflammatory bowel disease (IBD) and various cancers, share common molecular pathways, particularly immune-related processes. The study also identifies previously underdiagnosed comorbidities, offering insights that could inform therapeutic strategies. A web application is provided for exploring these molecular insights and the relationships between diseases and their associated molecular mechanisms.
 Conclusion:This work underscores the importance of patient stratification and molecular profiling in understanding disease co-occurrences, potentially improving diagnosis and treatment by revealing hidden connections between diseases.
 Reference:Urda-García, B., Sánchez-Valle, J., Lepore, R., & Valencia, A. (2025). Patient stratification reveals the molecular basis of disease co-occurrences. *Proceedings of the National Academy of Sciences, 122*(35), e2421060122. https://doi.org/10.1073/pnas.2421060122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base, you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
Keywords: disease co-occurrence, RNA sequencing, patient stratification, immune system, molecular mechanisms.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2127721/c1a-p6xp7-rk3qov9jiopn-xol59q.png"></itunes:image>
                                                                            <itunes:duration>00:19:57</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2127721/chapter-data.json"
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                            </item>
                    <item>
                <title>
                    <![CDATA[121: G-quadruplexes as a Source of Vulnerability in BRCA2-deficient Granule Cell Progenitors and Medulloblastoma]]>
                </title>
                <pubDate>Fri, 29 Aug 2025 09:07:36 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2127220</guid>
                                    <link>https://basebybase.castos.com/episodes/g-quadruplexes-brca2-deficient-medulloblastoma</link>
                                <description>
                                            <![CDATA[<p>️ Episode 121: G-quadruplexes as a Source of Vulnerability in BRCA2-deficient Granule Cell Progenitors and Medulloblastoma</p>
<p> In this episode of PaperCast Base by Base, we explore how DNA secondary structures called G-quadruplexes (G4s) contribute to genome instability and tumor development in BRCA2-deficient cerebellar granule cell progenitors, leading to medulloblastoma.</p>
<p> Study Highlights:<br />Using a mouse model with Brca2 deletion in the nervous system and Trp53 loss, researchers observed that these animals developed Sonic Hedgehog (SHH) subgroup medulloblastomas with complete penetrance. Whole-genome sequencing revealed that structural variant breakpoints frequently overlapped with predicted G4-forming sequences, suggesting these structures are key drivers of instability in the absence of BRCA2. Experiments showed that BRCA2-deficient cells had slower replication fork progression when exposed to G4-stabilizing compounds, and upregulation of the G4-resolving helicase PIF1 was identified as a mechanism tumors use to cope with replication stress. Targeting PIF1 in primary tumor cells increased genome instability, highlighting its potential as a therapeutic target.</p>
<p> Conclusion:<br />This work establishes G-quadruplexes as a critical source of replication stress in BRCA2-deficient progenitor cells and identifies PIF1 helicase as a promising therapeutic vulnerability in medulloblastoma.</p>
<p> Reference:<br />Keahi DL, Sanders MA, Paul MR, Webster ALH, Fang Y, Wiley TF, Shalaby S, Carroll TS, Chandrasekharappa SC, Sandoval-Garcia C, MacMillan ML, Wagner JE, Hatten ME, Smogorzewska A. G-quadruplexes as a source of vulnerability in BRCA2-deficient granule cell progenitors and medulloblastoma. Proc Natl Acad Sci U S A. 2025;122(35):e2503872122. doi:10.1073/pnas.2503872122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p> Keywords: BRCA2, medulloblastoma, G-quadruplexes, PIF1 helicase, genome instability</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - How DNA defects in children's brains cause cancer</li><li>(00:02:05) - BRCA2 deficiency in cerebellum cancer</li><li>(00:07:06) - BRCA2 mutations in brain cancer</li><li>(00:11:00) - BRCA2 protects the G4</li><li>(00:12:10) - PIF1 in BRCA2 deficiency medulloblast</li><li>(00:17:42) - PIF1 and cancer biology</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 121: G-quadruplexes as a Source of Vulnerability in BRCA2-deficient Granule Cell Progenitors and Medulloblastoma
 In this episode of PaperCast Base by Base, we explore how DNA secondary structures called G-quadruplexes (G4s) contribute to genome instability and tumor development in BRCA2-deficient cerebellar granule cell progenitors, leading to medulloblastoma.
 Study Highlights:Using a mouse model with Brca2 deletion in the nervous system and Trp53 loss, researchers observed that these animals developed Sonic Hedgehog (SHH) subgroup medulloblastomas with complete penetrance. Whole-genome sequencing revealed that structural variant breakpoints frequently overlapped with predicted G4-forming sequences, suggesting these structures are key drivers of instability in the absence of BRCA2. Experiments showed that BRCA2-deficient cells had slower replication fork progression when exposed to G4-stabilizing compounds, and upregulation of the G4-resolving helicase PIF1 was identified as a mechanism tumors use to cope with replication stress. Targeting PIF1 in primary tumor cells increased genome instability, highlighting its potential as a therapeutic target.
 Conclusion:This work establishes G-quadruplexes as a critical source of replication stress in BRCA2-deficient progenitor cells and identifies PIF1 helicase as a promising therapeutic vulnerability in medulloblastoma.
 Reference:Keahi DL, Sanders MA, Paul MR, Webster ALH, Fang Y, Wiley TF, Shalaby S, Carroll TS, Chandrasekharappa SC, Sandoval-Garcia C, MacMillan ML, Wagner JE, Hatten ME, Smogorzewska A. G-quadruplexes as a source of vulnerability in BRCA2-deficient granule cell progenitors and medulloblastoma. Proc Natl Acad Sci U S A. 2025;122(35):e2503872122. doi:10.1073/pnas.2503872122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Keywords: BRCA2, medulloblastoma, G-quadruplexes, PIF1 helicase, genome instability]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[121: G-quadruplexes as a Source of Vulnerability in BRCA2-deficient Granule Cell Progenitors and Medulloblastoma]]>
                </itunes:title>
                                    <itunes:episode>121</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 121: G-quadruplexes as a Source of Vulnerability in BRCA2-deficient Granule Cell Progenitors and Medulloblastoma</p>
<p> In this episode of PaperCast Base by Base, we explore how DNA secondary structures called G-quadruplexes (G4s) contribute to genome instability and tumor development in BRCA2-deficient cerebellar granule cell progenitors, leading to medulloblastoma.</p>
<p> Study Highlights:<br />Using a mouse model with Brca2 deletion in the nervous system and Trp53 loss, researchers observed that these animals developed Sonic Hedgehog (SHH) subgroup medulloblastomas with complete penetrance. Whole-genome sequencing revealed that structural variant breakpoints frequently overlapped with predicted G4-forming sequences, suggesting these structures are key drivers of instability in the absence of BRCA2. Experiments showed that BRCA2-deficient cells had slower replication fork progression when exposed to G4-stabilizing compounds, and upregulation of the G4-resolving helicase PIF1 was identified as a mechanism tumors use to cope with replication stress. Targeting PIF1 in primary tumor cells increased genome instability, highlighting its potential as a therapeutic target.</p>
<p> Conclusion:<br />This work establishes G-quadruplexes as a critical source of replication stress in BRCA2-deficient progenitor cells and identifies PIF1 helicase as a promising therapeutic vulnerability in medulloblastoma.</p>
<p> Reference:<br />Keahi DL, Sanders MA, Paul MR, Webster ALH, Fang Y, Wiley TF, Shalaby S, Carroll TS, Chandrasekharappa SC, Sandoval-Garcia C, MacMillan ML, Wagner JE, Hatten ME, Smogorzewska A. G-quadruplexes as a source of vulnerability in BRCA2-deficient granule cell progenitors and medulloblastoma. Proc Natl Acad Sci U S A. 2025;122(35):e2503872122. doi:10.1073/pnas.2503872122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p> Keywords: BRCA2, medulloblastoma, G-quadruplexes, PIF1 helicase, genome instability</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[️ Episode 121: G-quadruplexes as a Source of Vulnerability in BRCA2-deficient Granule Cell Progenitors and Medulloblastoma
 In this episode of PaperCast Base by Base, we explore how DNA secondary structures called G-quadruplexes (G4s) contribute to genome instability and tumor development in BRCA2-deficient cerebellar granule cell progenitors, leading to medulloblastoma.
 Study Highlights:Using a mouse model with Brca2 deletion in the nervous system and Trp53 loss, researchers observed that these animals developed Sonic Hedgehog (SHH) subgroup medulloblastomas with complete penetrance. Whole-genome sequencing revealed that structural variant breakpoints frequently overlapped with predicted G4-forming sequences, suggesting these structures are key drivers of instability in the absence of BRCA2. Experiments showed that BRCA2-deficient cells had slower replication fork progression when exposed to G4-stabilizing compounds, and upregulation of the G4-resolving helicase PIF1 was identified as a mechanism tumors use to cope with replication stress. Targeting PIF1 in primary tumor cells increased genome instability, highlighting its potential as a therapeutic target.
 Conclusion:This work establishes G-quadruplexes as a critical source of replication stress in BRCA2-deficient progenitor cells and identifies PIF1 helicase as a promising therapeutic vulnerability in medulloblastoma.
 Reference:Keahi DL, Sanders MA, Paul MR, Webster ALH, Fang Y, Wiley TF, Shalaby S, Carroll TS, Chandrasekharappa SC, Sandoval-Garcia C, MacMillan ML, Wagner JE, Hatten ME, Smogorzewska A. G-quadruplexes as a source of vulnerability in BRCA2-deficient granule cell progenitors and medulloblastoma. Proc Natl Acad Sci U S A. 2025;122(35):e2503872122. doi:10.1073/pnas.2503872122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Keywords: BRCA2, medulloblastoma, G-quadruplexes, PIF1 helicase, genome instability]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2127220/c1a-p6xp7-6z3x1j2jcq93-7lvuwa.png"></itunes:image>
                                                                            <itunes:duration>00:19:02</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2127220/chapter-data.json"
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                            </item>
                    <item>
                <title>
                    <![CDATA[120: Rare BMAL1 Variants Link the Circadian Clock to Neurodevelopment]]>
                </title>
                <pubDate>Thu, 28 Aug 2025 12:08:21 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2126502</guid>
                                    <link>https://basebybase.castos.com/episodes/bmal1-rare-variants-neurodevelopmental-syndrome</link>
                                <description>
                                            <![CDATA[<p>️Episode 120: Rare BMAL1 Variants Link the Circadian Clock to Neurodevelopment</p>
<p>In this episode of PaperCast Base by Base, we explore how ultrarare heterozygous variants in BMAL1—a core circadian clock gene—are associated with a neurodevelopmental syndrome featuring developmental delay, autism spectrum disorder, and musculoskeletal findings.</p>
<p>Study Highlights:<br />The authors identified ten individuals carrying very rare BMAL1 variants, five of which were de novo, and documented overlapping clinical features including developmental delay and autism spectrum disorder with variably penetrant sleep disturbances and marfanoid traits. Functional assays in U2OS cells using a Per2 promoter–driven luciferase reporter showed that most variants disrupted BMAL1 activity via altered period, phase, or amplitude of molecular rhythms, with frameshift and splice-site changes trending toward loss of function while a PAS1 missense variant (Ile201Thr) enhanced rhythmic output. PER2 and NR1D1 mRNA cycling confirmed variant‑dependent effects on clock-controlled transcription without grossly altering BMAL1 localization or CLOCK binding. In Drosophila, orthologous variants in cycle (cyc) reproduced gain‑ and loss‑of‑function effects on behavioral rhythms and, notably, both classes impaired short‑ and long‑term memory, connecting core clock disruption to neurodevelopment‑relevant phenotypes.</p>
<p>Conclusion:<br />These findings implicate rare BMAL1 variants as contributors to a Mendelian neurodevelopmental disorder and suggest that targeting sleep and circadian pathways could be an avenue to mitigate cognitive and developmental impacts.</p>
<p>Reference:<br />Cuddapah VA, Chen D, Cho B, Moore R, Suri M, Safraou H, Tran‑Mau‑Them F, Wilson A, Odgis J, Rehman AU, Saunders C, Ganesan S, Jobanputra V, Scherer SW, Helbig I, Sehgal A. Rare variants in BMAL1 are associated with a neurodevelopmental syndrome. PNAS. 2025;122(31):e2427085122. <a title="https://doi.org/10.1073/pnas.2427085122" href="https://doi.org/10.1073/pnas.2427085122" target="_blank" rel="noreferrer noopener">https://doi.org/10.1073/pnas.2427085122</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: BMAL1; circadian rhythms; neurodevelopmental disorder; autism spectrum disorder; Drosophila memory</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Sleep disorders and the circadian clock</li><li>(00:07:06) - BMAL1 variants disrupting the circadian clock</li><li>(00:11:02) - BMA1 Syndrome in humans</li><li>(00:16:07) - BMAO1 genetic variants and neurodevelopmental disorders</li><li>(00:21:03) - Circadian clock gene variants in autism</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️Episode 120: Rare BMAL1 Variants Link the Circadian Clock to Neurodevelopment
In this episode of PaperCast Base by Base, we explore how ultrarare heterozygous variants in BMAL1—a core circadian clock gene—are associated with a neurodevelopmental syndrome featuring developmental delay, autism spectrum disorder, and musculoskeletal findings.
Study Highlights:The authors identified ten individuals carrying very rare BMAL1 variants, five of which were de novo, and documented overlapping clinical features including developmental delay and autism spectrum disorder with variably penetrant sleep disturbances and marfanoid traits. Functional assays in U2OS cells using a Per2 promoter–driven luciferase reporter showed that most variants disrupted BMAL1 activity via altered period, phase, or amplitude of molecular rhythms, with frameshift and splice-site changes trending toward loss of function while a PAS1 missense variant (Ile201Thr) enhanced rhythmic output. PER2 and NR1D1 mRNA cycling confirmed variant‑dependent effects on clock-controlled transcription without grossly altering BMAL1 localization or CLOCK binding. In Drosophila, orthologous variants in cycle (cyc) reproduced gain‑ and loss‑of‑function effects on behavioral rhythms and, notably, both classes impaired short‑ and long‑term memory, connecting core clock disruption to neurodevelopment‑relevant phenotypes.
Conclusion:These findings implicate rare BMAL1 variants as contributors to a Mendelian neurodevelopmental disorder and suggest that targeting sleep and circadian pathways could be an avenue to mitigate cognitive and developmental impacts.
Reference:Cuddapah VA, Chen D, Cho B, Moore R, Suri M, Safraou H, Tran‑Mau‑Them F, Wilson A, Odgis J, Rehman AU, Saunders C, Ganesan S, Jobanputra V, Scherer SW, Helbig I, Sehgal A. Rare variants in BMAL1 are associated with a neurodevelopmental syndrome. PNAS. 2025;122(31):e2427085122. https://doi.org/10.1073/pnas.2427085122
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: BMAL1; circadian rhythms; neurodevelopmental disorder; autism spectrum disorder; Drosophila memory]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[120: Rare BMAL1 Variants Link the Circadian Clock to Neurodevelopment]]>
                </itunes:title>
                                    <itunes:episode>120</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️Episode 120: Rare BMAL1 Variants Link the Circadian Clock to Neurodevelopment</p>
<p>In this episode of PaperCast Base by Base, we explore how ultrarare heterozygous variants in BMAL1—a core circadian clock gene—are associated with a neurodevelopmental syndrome featuring developmental delay, autism spectrum disorder, and musculoskeletal findings.</p>
<p>Study Highlights:<br />The authors identified ten individuals carrying very rare BMAL1 variants, five of which were de novo, and documented overlapping clinical features including developmental delay and autism spectrum disorder with variably penetrant sleep disturbances and marfanoid traits. Functional assays in U2OS cells using a Per2 promoter–driven luciferase reporter showed that most variants disrupted BMAL1 activity via altered period, phase, or amplitude of molecular rhythms, with frameshift and splice-site changes trending toward loss of function while a PAS1 missense variant (Ile201Thr) enhanced rhythmic output. PER2 and NR1D1 mRNA cycling confirmed variant‑dependent effects on clock-controlled transcription without grossly altering BMAL1 localization or CLOCK binding. In Drosophila, orthologous variants in cycle (cyc) reproduced gain‑ and loss‑of‑function effects on behavioral rhythms and, notably, both classes impaired short‑ and long‑term memory, connecting core clock disruption to neurodevelopment‑relevant phenotypes.</p>
<p>Conclusion:<br />These findings implicate rare BMAL1 variants as contributors to a Mendelian neurodevelopmental disorder and suggest that targeting sleep and circadian pathways could be an avenue to mitigate cognitive and developmental impacts.</p>
<p>Reference:<br />Cuddapah VA, Chen D, Cho B, Moore R, Suri M, Safraou H, Tran‑Mau‑Them F, Wilson A, Odgis J, Rehman AU, Saunders C, Ganesan S, Jobanputra V, Scherer SW, Helbig I, Sehgal A. Rare variants in BMAL1 are associated with a neurodevelopmental syndrome. PNAS. 2025;122(31):e2427085122. <a title="https://doi.org/10.1073/pnas.2427085122" href="https://doi.org/10.1073/pnas.2427085122" target="_blank" rel="noreferrer noopener">https://doi.org/10.1073/pnas.2427085122</a></p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p>Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: BMAL1; circadian rhythms; neurodevelopmental disorder; autism spectrum disorder; Drosophila memory</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[️Episode 120: Rare BMAL1 Variants Link the Circadian Clock to Neurodevelopment
In this episode of PaperCast Base by Base, we explore how ultrarare heterozygous variants in BMAL1—a core circadian clock gene—are associated with a neurodevelopmental syndrome featuring developmental delay, autism spectrum disorder, and musculoskeletal findings.
Study Highlights:The authors identified ten individuals carrying very rare BMAL1 variants, five of which were de novo, and documented overlapping clinical features including developmental delay and autism spectrum disorder with variably penetrant sleep disturbances and marfanoid traits. Functional assays in U2OS cells using a Per2 promoter–driven luciferase reporter showed that most variants disrupted BMAL1 activity via altered period, phase, or amplitude of molecular rhythms, with frameshift and splice-site changes trending toward loss of function while a PAS1 missense variant (Ile201Thr) enhanced rhythmic output. PER2 and NR1D1 mRNA cycling confirmed variant‑dependent effects on clock-controlled transcription without grossly altering BMAL1 localization or CLOCK binding. In Drosophila, orthologous variants in cycle (cyc) reproduced gain‑ and loss‑of‑function effects on behavioral rhythms and, notably, both classes impaired short‑ and long‑term memory, connecting core clock disruption to neurodevelopment‑relevant phenotypes.
Conclusion:These findings implicate rare BMAL1 variants as contributors to a Mendelian neurodevelopmental disorder and suggest that targeting sleep and circadian pathways could be an avenue to mitigate cognitive and developmental impacts.
Reference:Cuddapah VA, Chen D, Cho B, Moore R, Suri M, Safraou H, Tran‑Mau‑Them F, Wilson A, Odgis J, Rehman AU, Saunders C, Ganesan S, Jobanputra V, Scherer SW, Helbig I, Sehgal A. Rare variants in BMAL1 are associated with a neurodevelopmental syndrome. PNAS. 2025;122(31):e2427085122. https://doi.org/10.1073/pnas.2427085122
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: BMAL1; circadian rhythms; neurodevelopmental disorder; autism spectrum disorder; Drosophila memory]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2126502/c1a-p6xp7-gpz7opjwsw8k-y1qop7.png"></itunes:image>
                                                                            <itunes:duration>00:22:30</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2126502/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[119: G‑Quadruplex Stabilization Triggers Pericentromeric DNA Breaks in B Cells]]>
                </title>
                <pubDate>Wed, 27 Aug 2025 08:30:48 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2124811</guid>
                                    <link>https://basebybase.castos.com/episodes/g-quadruplex-stabilization-b-cell-pericentromeric-dna-breaks</link>
                                <description>
                                            <![CDATA[<p>️ Episode 119: G‑Quadruplex Stabilization Triggers Pericentromeric DNA Breaks in B Cells</p>
<p> In this episode of PaperCast Base by Base, we explore how stabilizing G‑quadruplex DNA structures with small molecules reshapes genome stability in B lymphocytes, revealing fragile hotspots in pericentromeric repeats and ribosomal DNA and exposing checkpoint-dependent differences between primary and malignant cells.</p>
<p> Study Highlights:<br />Using the G‑quadruplex stabilizer pyridostatin in mouse primary B cells, a lymphoma line (CH12), and human B cell lines, the authors mapped DNA damage with metaphase spreads and FISH and found recurrent breaks and fusions concentrated at major satellite pericentromeres and rDNA arrays. Primary B cells developed abundant dicentric chromosomes and progressed to tetraploid metaphases, whereas CH12 cells mounted a G2/M checkpoint arrest that limited tetraploid metaphases despite increased tetraploid interphases. Pharmacologic manipulation supported a checkpoint-based mechanism: enforcing G2 arrest with CDK1 inhibition reduced tetraploids and dicentrics, while WEE1 inhibition in CH12 released arrest and increased both. Additional G4 ligands (CX‑5461, Phen‑DC3) also induced pericentromeric instability, reinforcing that G‑quadruplex stabilization is the driver rather than off‑target effects.</p>
<p> Conclusion:<br />G‑quadruplex stabilization selectively destabilizes pericentromeric and rDNA repeats in B cells and, by interacting with cell‑cycle checkpoints, may be exploitable to suppress tumor growth while sparing normal cells that respond differently.</p>
<p> Reference:<br />Waisertreiger I, Ayele K, Elshaikh MH, Barlow JH. G‑quadruplex stabilization induces DNA breaks in pericentromeric repetitive DNA sequences in B lymphocytes. Proceedings of the National Academy of Sciences. 2025;122(34):e2506939122. https://doi.org/10.1073/pnas.2506939122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>Keywords: G-quadruplex, pyridostatin, pericentromeric satellite DNA, B lymphocytes, chromosomal instability</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - G4 stabilizing ligands in B cell cancer</li><li>(00:06:31) - PDS: Targeted DNA damage in cancer</li><li>(00:08:24) - PDS causes chromosomal instability in cancer cells</li><li>(00:13:26) - PDS and BRCA2 deficiency cancers</li><li>(00:17:59) - Base by base science</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 119: G‑Quadruplex Stabilization Triggers Pericentromeric DNA Breaks in B Cells
 In this episode of PaperCast Base by Base, we explore how stabilizing G‑quadruplex DNA structures with small molecules reshapes genome stability in B lymphocytes, revealing fragile hotspots in pericentromeric repeats and ribosomal DNA and exposing checkpoint-dependent differences between primary and malignant cells.
 Study Highlights:Using the G‑quadruplex stabilizer pyridostatin in mouse primary B cells, a lymphoma line (CH12), and human B cell lines, the authors mapped DNA damage with metaphase spreads and FISH and found recurrent breaks and fusions concentrated at major satellite pericentromeres and rDNA arrays. Primary B cells developed abundant dicentric chromosomes and progressed to tetraploid metaphases, whereas CH12 cells mounted a G2/M checkpoint arrest that limited tetraploid metaphases despite increased tetraploid interphases. Pharmacologic manipulation supported a checkpoint-based mechanism: enforcing G2 arrest with CDK1 inhibition reduced tetraploids and dicentrics, while WEE1 inhibition in CH12 released arrest and increased both. Additional G4 ligands (CX‑5461, Phen‑DC3) also induced pericentromeric instability, reinforcing that G‑quadruplex stabilization is the driver rather than off‑target effects.
 Conclusion:G‑quadruplex stabilization selectively destabilizes pericentromeric and rDNA repeats in B cells and, by interacting with cell‑cycle checkpoints, may be exploitable to suppress tumor growth while sparing normal cells that respond differently.
 Reference:Waisertreiger I, Ayele K, Elshaikh MH, Barlow JH. G‑quadruplex stabilization induces DNA breaks in pericentromeric repetitive DNA sequences in B lymphocytes. Proceedings of the National Academy of Sciences. 2025;122(34):e2506939122. https://doi.org/10.1073/pnas.2506939122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: G-quadruplex, pyridostatin, pericentromeric satellite DNA, B lymphocytes, chromosomal instability]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[119: G‑Quadruplex Stabilization Triggers Pericentromeric DNA Breaks in B Cells]]>
                </itunes:title>
                                    <itunes:episode>119</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 119: G‑Quadruplex Stabilization Triggers Pericentromeric DNA Breaks in B Cells</p>
<p> In this episode of PaperCast Base by Base, we explore how stabilizing G‑quadruplex DNA structures with small molecules reshapes genome stability in B lymphocytes, revealing fragile hotspots in pericentromeric repeats and ribosomal DNA and exposing checkpoint-dependent differences between primary and malignant cells.</p>
<p> Study Highlights:<br />Using the G‑quadruplex stabilizer pyridostatin in mouse primary B cells, a lymphoma line (CH12), and human B cell lines, the authors mapped DNA damage with metaphase spreads and FISH and found recurrent breaks and fusions concentrated at major satellite pericentromeres and rDNA arrays. Primary B cells developed abundant dicentric chromosomes and progressed to tetraploid metaphases, whereas CH12 cells mounted a G2/M checkpoint arrest that limited tetraploid metaphases despite increased tetraploid interphases. Pharmacologic manipulation supported a checkpoint-based mechanism: enforcing G2 arrest with CDK1 inhibition reduced tetraploids and dicentrics, while WEE1 inhibition in CH12 released arrest and increased both. Additional G4 ligands (CX‑5461, Phen‑DC3) also induced pericentromeric instability, reinforcing that G‑quadruplex stabilization is the driver rather than off‑target effects.</p>
<p> Conclusion:<br />G‑quadruplex stabilization selectively destabilizes pericentromeric and rDNA repeats in B cells and, by interacting with cell‑cycle checkpoints, may be exploitable to suppress tumor growth while sparing normal cells that respond differently.</p>
<p> Reference:<br />Waisertreiger I, Ayele K, Elshaikh MH, Barlow JH. G‑quadruplex stabilization induces DNA breaks in pericentromeric repetitive DNA sequences in B lymphocytes. Proceedings of the National Academy of Sciences. 2025;122(34):e2506939122. https://doi.org/10.1073/pnas.2506939122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>Keywords: G-quadruplex, pyridostatin, pericentromeric satellite DNA, B lymphocytes, chromosomal instability</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 119: G‑Quadruplex Stabilization Triggers Pericentromeric DNA Breaks in B Cells
 In this episode of PaperCast Base by Base, we explore how stabilizing G‑quadruplex DNA structures with small molecules reshapes genome stability in B lymphocytes, revealing fragile hotspots in pericentromeric repeats and ribosomal DNA and exposing checkpoint-dependent differences between primary and malignant cells.
 Study Highlights:Using the G‑quadruplex stabilizer pyridostatin in mouse primary B cells, a lymphoma line (CH12), and human B cell lines, the authors mapped DNA damage with metaphase spreads and FISH and found recurrent breaks and fusions concentrated at major satellite pericentromeres and rDNA arrays. Primary B cells developed abundant dicentric chromosomes and progressed to tetraploid metaphases, whereas CH12 cells mounted a G2/M checkpoint arrest that limited tetraploid metaphases despite increased tetraploid interphases. Pharmacologic manipulation supported a checkpoint-based mechanism: enforcing G2 arrest with CDK1 inhibition reduced tetraploids and dicentrics, while WEE1 inhibition in CH12 released arrest and increased both. Additional G4 ligands (CX‑5461, Phen‑DC3) also induced pericentromeric instability, reinforcing that G‑quadruplex stabilization is the driver rather than off‑target effects.
 Conclusion:G‑quadruplex stabilization selectively destabilizes pericentromeric and rDNA repeats in B cells and, by interacting with cell‑cycle checkpoints, may be exploitable to suppress tumor growth while sparing normal cells that respond differently.
 Reference:Waisertreiger I, Ayele K, Elshaikh MH, Barlow JH. G‑quadruplex stabilization induces DNA breaks in pericentromeric repetitive DNA sequences in B lymphocytes. Proceedings of the National Academy of Sciences. 2025;122(34):e2506939122. https://doi.org/10.1073/pnas.2506939122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: G-quadruplex, pyridostatin, pericentromeric satellite DNA, B lymphocytes, chromosomal instability]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2124811/c1a-p6xp7-ww8rqzoqbrn2-lsl1yp.png"></itunes:image>
                                                                            <itunes:duration>00:18:35</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[118: Cancer cells subvert the primate-specific KRAB zinc finger protein ZNF93 to control APOBEC3B]]>
                </title>
                <pubDate>Tue, 26 Aug 2025 06:39:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2123295</guid>
                                    <link>https://basebybase.castos.com/episodes/cancer-cells-subvert-the-primate-specific-krab-zinc-finger-prot</link>
                                <description>
                                            <![CDATA[<p>️ Episode 118: Cancer cells subvert the primate-specific KRAB zinc finger protein ZNF93 to control APOBEC3B</p>
<p> In this episode of PaperCast Base by Base, we explore how cancer cells co-opt a primate-specific KRAB zinc finger protein, ZNF93, to fine-tune the mutagenic enzyme APOBEC3B and manage replication stress.</p>
<p> Study Highlights:<br />Using genome-wide KZFP binding maps, CUT&amp;Tag, RNA-seq, and functional assays across multiple cancer cell lines, the authors identify ZNF93 as a proliferation-linked regulator enriched at promoters of young endonuclease-competent LINE-1 elements and as a direct repressor of APOBEC3B. ZNF93 knockdown consistently reduces proliferation, activates replication stress and DNA-damage checkpoints, and triggers inflammatory programs, while ZNF93 overexpression improves recovery from genotoxic insult similarly to APOBEC3B depletion. Mechanistically, ZNF93 binds the APOBEC3B promoter and suppresses its expression largely independent of TRIM28-mediated heterochromatin, with ZNF93 loss driving strong APOBEC3B upregulation and heightened stress signaling. Across human tumors, ZNF93 levels broadly correlate with proliferation and are elevated in many cancers, whereas HPV-positive cervical cancers show reduced ZNF93 alongside elevated APOBEC3B, suggesting tumors tune this axis to balance mutagenesis with tolerable replication stress.</p>
<p> Conclusion:<br />ZNF93 operates as a primate-specific rheostat that restrains APOBEC3B-driven replication stress and is exploited by tumors, highlighting a potential therapeutic lever to modulate genome instability in cancer.</p>
<p> Reference:<br />Forey R, Raclôt C, Pulver C, Rosspopoff O, Offner S, Duc J, Planet E, Martins F, Turelli P, Trono D. Cancer cells subvert the primate-specific KRAB zinc finger protein ZNF93 to control APOBEC3B. Proceedings of the National Academy of Sciences. 2025;122(34):e2505021122. https://doi.org/10.1073/pnas.2505021122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0) – https://creativecommons.org/licenses/by-nc-nd/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p>Keywords: ZNF93; APOBEC3B; replication stress; KRAB zinc finger proteins; cancer epigenetics</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Base by Base</li><li>(00:01:36) - How do cancer cells manage their own DNA?</li><li>(00:05:56) - How ZNF93 regulates cancer cell growth</li><li>(00:11:38) - ZNF93 regulation of APOB3B</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 118: Cancer cells subvert the primate-specific KRAB zinc finger protein ZNF93 to control APOBEC3B
 In this episode of PaperCast Base by Base, we explore how cancer cells co-opt a primate-specific KRAB zinc finger protein, ZNF93, to fine-tune the mutagenic enzyme APOBEC3B and manage replication stress.
 Study Highlights:Using genome-wide KZFP binding maps, CUT&Tag, RNA-seq, and functional assays across multiple cancer cell lines, the authors identify ZNF93 as a proliferation-linked regulator enriched at promoters of young endonuclease-competent LINE-1 elements and as a direct repressor of APOBEC3B. ZNF93 knockdown consistently reduces proliferation, activates replication stress and DNA-damage checkpoints, and triggers inflammatory programs, while ZNF93 overexpression improves recovery from genotoxic insult similarly to APOBEC3B depletion. Mechanistically, ZNF93 binds the APOBEC3B promoter and suppresses its expression largely independent of TRIM28-mediated heterochromatin, with ZNF93 loss driving strong APOBEC3B upregulation and heightened stress signaling. Across human tumors, ZNF93 levels broadly correlate with proliferation and are elevated in many cancers, whereas HPV-positive cervical cancers show reduced ZNF93 alongside elevated APOBEC3B, suggesting tumors tune this axis to balance mutagenesis with tolerable replication stress.
 Conclusion:ZNF93 operates as a primate-specific rheostat that restrains APOBEC3B-driven replication stress and is exploited by tumors, highlighting a potential therapeutic lever to modulate genome instability in cancer.
 Reference:Forey R, Raclôt C, Pulver C, Rosspopoff O, Offner S, Duc J, Planet E, Martins F, Turelli P, Trono D. Cancer cells subvert the primate-specific KRAB zinc finger protein ZNF93 to control APOBEC3B. Proceedings of the National Academy of Sciences. 2025;122(34):e2505021122. https://doi.org/10.1073/pnas.2505021122
 License:This episode is based on an open-access article published under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0) – https://creativecommons.org/licenses/by-nc-nd/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
Keywords: ZNF93; APOBEC3B; replication stress; KRAB zinc finger proteins; cancer epigenetics]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[118: Cancer cells subvert the primate-specific KRAB zinc finger protein ZNF93 to control APOBEC3B]]>
                </itunes:title>
                                    <itunes:episode>118</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 118: Cancer cells subvert the primate-specific KRAB zinc finger protein ZNF93 to control APOBEC3B</p>
<p> In this episode of PaperCast Base by Base, we explore how cancer cells co-opt a primate-specific KRAB zinc finger protein, ZNF93, to fine-tune the mutagenic enzyme APOBEC3B and manage replication stress.</p>
<p> Study Highlights:<br />Using genome-wide KZFP binding maps, CUT&amp;Tag, RNA-seq, and functional assays across multiple cancer cell lines, the authors identify ZNF93 as a proliferation-linked regulator enriched at promoters of young endonuclease-competent LINE-1 elements and as a direct repressor of APOBEC3B. ZNF93 knockdown consistently reduces proliferation, activates replication stress and DNA-damage checkpoints, and triggers inflammatory programs, while ZNF93 overexpression improves recovery from genotoxic insult similarly to APOBEC3B depletion. Mechanistically, ZNF93 binds the APOBEC3B promoter and suppresses its expression largely independent of TRIM28-mediated heterochromatin, with ZNF93 loss driving strong APOBEC3B upregulation and heightened stress signaling. Across human tumors, ZNF93 levels broadly correlate with proliferation and are elevated in many cancers, whereas HPV-positive cervical cancers show reduced ZNF93 alongside elevated APOBEC3B, suggesting tumors tune this axis to balance mutagenesis with tolerable replication stress.</p>
<p> Conclusion:<br />ZNF93 operates as a primate-specific rheostat that restrains APOBEC3B-driven replication stress and is exploited by tumors, highlighting a potential therapeutic lever to modulate genome instability in cancer.</p>
<p> Reference:<br />Forey R, Raclôt C, Pulver C, Rosspopoff O, Offner S, Duc J, Planet E, Martins F, Turelli P, Trono D. Cancer cells subvert the primate-specific KRAB zinc finger protein ZNF93 to control APOBEC3B. Proceedings of the National Academy of Sciences. 2025;122(34):e2505021122. https://doi.org/10.1073/pnas.2505021122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0) – https://creativecommons.org/licenses/by-nc-nd/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p>Keywords: ZNF93; APOBEC3B; replication stress; KRAB zinc finger proteins; cancer epigenetics</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 118: Cancer cells subvert the primate-specific KRAB zinc finger protein ZNF93 to control APOBEC3B
 In this episode of PaperCast Base by Base, we explore how cancer cells co-opt a primate-specific KRAB zinc finger protein, ZNF93, to fine-tune the mutagenic enzyme APOBEC3B and manage replication stress.
 Study Highlights:Using genome-wide KZFP binding maps, CUT&Tag, RNA-seq, and functional assays across multiple cancer cell lines, the authors identify ZNF93 as a proliferation-linked regulator enriched at promoters of young endonuclease-competent LINE-1 elements and as a direct repressor of APOBEC3B. ZNF93 knockdown consistently reduces proliferation, activates replication stress and DNA-damage checkpoints, and triggers inflammatory programs, while ZNF93 overexpression improves recovery from genotoxic insult similarly to APOBEC3B depletion. Mechanistically, ZNF93 binds the APOBEC3B promoter and suppresses its expression largely independent of TRIM28-mediated heterochromatin, with ZNF93 loss driving strong APOBEC3B upregulation and heightened stress signaling. Across human tumors, ZNF93 levels broadly correlate with proliferation and are elevated in many cancers, whereas HPV-positive cervical cancers show reduced ZNF93 alongside elevated APOBEC3B, suggesting tumors tune this axis to balance mutagenesis with tolerable replication stress.
 Conclusion:ZNF93 operates as a primate-specific rheostat that restrains APOBEC3B-driven replication stress and is exploited by tumors, highlighting a potential therapeutic lever to modulate genome instability in cancer.
 Reference:Forey R, Raclôt C, Pulver C, Rosspopoff O, Offner S, Duc J, Planet E, Martins F, Turelli P, Trono D. Cancer cells subvert the primate-specific KRAB zinc finger protein ZNF93 to control APOBEC3B. Proceedings of the National Academy of Sciences. 2025;122(34):e2505021122. https://doi.org/10.1073/pnas.2505021122
 License:This episode is based on an open-access article published under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0) – https://creativecommons.org/licenses/by-nc-nd/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
Keywords: ZNF93; APOBEC3B; replication stress; KRAB zinc finger proteins; cancer epigenetics]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2123295/c1a-p6xp7-kp9qnm41a4mv-moxbgb.png"></itunes:image>
                                                                            <itunes:duration>00:19:11</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[117: Pol III–linked polyadenylation fuels SINE RNA accumulation during infection]]>
                </title>
                <pubDate>Mon, 25 Aug 2025 06:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2119907</guid>
                                    <link>https://basebybase.castos.com/episodes/pol-iii-transcription-associated-polyadenylation-sine-rnas</link>
                                <description>
                                            <![CDATA[<p>️ Episode 117: Pol III–linked polyadenylation fuels SINE RNA accumulation during infection</p>
<p> In this episode of PaperCast Base by Base, we explore how viral infection couples RNA polymerase III transcription with mRNA-like 3′ end processing to stabilize noncoding retrotransposon RNAs, revealing a conserved mechanism that boosts SINE RNA abundance during pathogenic stress. fileciteturn0file0</p>
<p> Study Highlights:<br />Using murine gammaherpesvirus (MHV68) infection as a model, the authors show by Polr3A ChIP-seq that increased Pol III occupancy at type II promoters such as B2 SINEs and tRNA genes contributes to but does not fully explain SINE RNA accumulation. They develop a convolutional neural network (SAMBAR‑Net) that pinpoints a τ motif upstream of a polyadenylation signal as the key sequence feature of infection‑induced B2 SINE loci, with motif strength correlating with higher RNA levels. Infection recruits mRNA cleavage and polyadenylation machinery—including CPSF30 and CFIm25/Nudt21—to Pol III loci in a Brf1‑dependent manner, driving polyadenylation of B2 SINE RNAs that stabilizes these transcripts. Depletion of CPSF30 or Nudt21 diminishes B2 SINE polyadenylation and accumulation, and CPSF30 occupancy is also detected at human Alu elements and tRNA genes, indicating a conserved mechanism. Together, the findings uncover noncanonical, transcription‑associated polyadenylation as a regulator of Pol III RNAs during infection.</p>
<p> Conclusion:<br />Pol III–associated polyadenylation emerges as a central lever for stabilizing retrotransposon RNAs under stress, reframing virus–host control of noncoding RNA biogenesis and suggesting new molecular targets for intervention.</p>
<p> Reference:<br />Laria A, Shah SB, Mao X, Sanghrajka P, Karijolich J, Lareau LF, Glaunsinger BA. RNA polymerase III transcription–associated polyadenylation promotes the accumulation of noncoding retrotransposons during infection. Proceedings of the National Academy of Sciences. 2025;122(32):e2507186122. <a title="https://doi.org/10.1073/pnas.2507186122" href="https://doi.org/10.1073/pnas.2507186122" target="_blank" rel="noreferrer noopener">https://doi.org/10.1073/pnas.2507186122</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: RNA polymerase III; SINE retrotransposons; polyadenylation; CPSF30/Nudt21; herpesvirus infection</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - How viruses hijack our DNA</li><li>(00:01:54) - How viral infections cause macular degeneration</li><li>(00:07:09) - The polyadenylation of B2SIN NCRNAs</li><li>(00:10:16) - Immunity and the polarity regulation of DNA</li><li>(00:15:25) - Base by base</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 117: Pol III–linked polyadenylation fuels SINE RNA accumulation during infection
 In this episode of PaperCast Base by Base, we explore how viral infection couples RNA polymerase III transcription with mRNA-like 3′ end processing to stabilize noncoding retrotransposon RNAs, revealing a conserved mechanism that boosts SINE RNA abundance during pathogenic stress. fileciteturn0file0
 Study Highlights:Using murine gammaherpesvirus (MHV68) infection as a model, the authors show by Polr3A ChIP-seq that increased Pol III occupancy at type II promoters such as B2 SINEs and tRNA genes contributes to but does not fully explain SINE RNA accumulation. They develop a convolutional neural network (SAMBAR‑Net) that pinpoints a τ motif upstream of a polyadenylation signal as the key sequence feature of infection‑induced B2 SINE loci, with motif strength correlating with higher RNA levels. Infection recruits mRNA cleavage and polyadenylation machinery—including CPSF30 and CFIm25/Nudt21—to Pol III loci in a Brf1‑dependent manner, driving polyadenylation of B2 SINE RNAs that stabilizes these transcripts. Depletion of CPSF30 or Nudt21 diminishes B2 SINE polyadenylation and accumulation, and CPSF30 occupancy is also detected at human Alu elements and tRNA genes, indicating a conserved mechanism. Together, the findings uncover noncanonical, transcription‑associated polyadenylation as a regulator of Pol III RNAs during infection.
 Conclusion:Pol III–associated polyadenylation emerges as a central lever for stabilizing retrotransposon RNAs under stress, reframing virus–host control of noncoding RNA biogenesis and suggesting new molecular targets for intervention.
 Reference:Laria A, Shah SB, Mao X, Sanghrajka P, Karijolich J, Lareau LF, Glaunsinger BA. RNA polymerase III transcription–associated polyadenylation promotes the accumulation of noncoding retrotransposons during infection. Proceedings of the National Academy of Sciences. 2025;122(32):e2507186122. https://doi.org/10.1073/pnas.2507186122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: RNA polymerase III; SINE retrotransposons; polyadenylation; CPSF30/Nudt21; herpesvirus infection]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[117: Pol III–linked polyadenylation fuels SINE RNA accumulation during infection]]>
                </itunes:title>
                                    <itunes:episode>117</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                    <![CDATA[<p>️ Episode 117: Pol III–linked polyadenylation fuels SINE RNA accumulation during infection</p>
<p> In this episode of PaperCast Base by Base, we explore how viral infection couples RNA polymerase III transcription with mRNA-like 3′ end processing to stabilize noncoding retrotransposon RNAs, revealing a conserved mechanism that boosts SINE RNA abundance during pathogenic stress. fileciteturn0file0</p>
<p> Study Highlights:<br />Using murine gammaherpesvirus (MHV68) infection as a model, the authors show by Polr3A ChIP-seq that increased Pol III occupancy at type II promoters such as B2 SINEs and tRNA genes contributes to but does not fully explain SINE RNA accumulation. They develop a convolutional neural network (SAMBAR‑Net) that pinpoints a τ motif upstream of a polyadenylation signal as the key sequence feature of infection‑induced B2 SINE loci, with motif strength correlating with higher RNA levels. Infection recruits mRNA cleavage and polyadenylation machinery—including CPSF30 and CFIm25/Nudt21—to Pol III loci in a Brf1‑dependent manner, driving polyadenylation of B2 SINE RNAs that stabilizes these transcripts. Depletion of CPSF30 or Nudt21 diminishes B2 SINE polyadenylation and accumulation, and CPSF30 occupancy is also detected at human Alu elements and tRNA genes, indicating a conserved mechanism. Together, the findings uncover noncanonical, transcription‑associated polyadenylation as a regulator of Pol III RNAs during infection.</p>
<p> Conclusion:<br />Pol III–associated polyadenylation emerges as a central lever for stabilizing retrotransposon RNAs under stress, reframing virus–host control of noncoding RNA biogenesis and suggesting new molecular targets for intervention.</p>
<p> Reference:<br />Laria A, Shah SB, Mao X, Sanghrajka P, Karijolich J, Lareau LF, Glaunsinger BA. RNA polymerase III transcription–associated polyadenylation promotes the accumulation of noncoding retrotransposons during infection. Proceedings of the National Academy of Sciences. 2025;122(32):e2507186122. <a title="https://doi.org/10.1073/pnas.2507186122" href="https://doi.org/10.1073/pnas.2507186122" target="_blank" rel="noreferrer noopener">https://doi.org/10.1073/pnas.2507186122</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>Keywords: RNA polymerase III; SINE retrotransposons; polyadenylation; CPSF30/Nudt21; herpesvirus infection</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 117: Pol III–linked polyadenylation fuels SINE RNA accumulation during infection
 In this episode of PaperCast Base by Base, we explore how viral infection couples RNA polymerase III transcription with mRNA-like 3′ end processing to stabilize noncoding retrotransposon RNAs, revealing a conserved mechanism that boosts SINE RNA abundance during pathogenic stress. fileciteturn0file0
 Study Highlights:Using murine gammaherpesvirus (MHV68) infection as a model, the authors show by Polr3A ChIP-seq that increased Pol III occupancy at type II promoters such as B2 SINEs and tRNA genes contributes to but does not fully explain SINE RNA accumulation. They develop a convolutional neural network (SAMBAR‑Net) that pinpoints a τ motif upstream of a polyadenylation signal as the key sequence feature of infection‑induced B2 SINE loci, with motif strength correlating with higher RNA levels. Infection recruits mRNA cleavage and polyadenylation machinery—including CPSF30 and CFIm25/Nudt21—to Pol III loci in a Brf1‑dependent manner, driving polyadenylation of B2 SINE RNAs that stabilizes these transcripts. Depletion of CPSF30 or Nudt21 diminishes B2 SINE polyadenylation and accumulation, and CPSF30 occupancy is also detected at human Alu elements and tRNA genes, indicating a conserved mechanism. Together, the findings uncover noncanonical, transcription‑associated polyadenylation as a regulator of Pol III RNAs during infection.
 Conclusion:Pol III–associated polyadenylation emerges as a central lever for stabilizing retrotransposon RNAs under stress, reframing virus–host control of noncoding RNA biogenesis and suggesting new molecular targets for intervention.
 Reference:Laria A, Shah SB, Mao X, Sanghrajka P, Karijolich J, Lareau LF, Glaunsinger BA. RNA polymerase III transcription–associated polyadenylation promotes the accumulation of noncoding retrotransposons during infection. Proceedings of the National Academy of Sciences. 2025;122(32):e2507186122. https://doi.org/10.1073/pnas.2507186122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
Keywords: RNA polymerase III; SINE retrotransposons; polyadenylation; CPSF30/Nudt21; herpesvirus infection]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2119907/c1a-p6xp7-8dqpkmwqsgx0-rtthyi.png"></itunes:image>
                                                                            <itunes:duration>00:16:00</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[116: Silent but Stalling: A Synonymous mtDNA Variant Shapes CD8+ T Cells]]>
                </title>
                <pubDate>Sun, 24 Aug 2025 16:29:03 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2119896</guid>
                                    <link>https://basebybase.castos.com/episodes/cell-typespecific-purifying-selection-of-synonymous-mtdna-variation</link>
                                <description>
                                            <![CDATA[<p>Lareau CA et al., PNAS - Single-cell multiomic profiling identifies a mosaic synonymous mtDNA variant (m.7076A&gt;G) in MT-CO1 that is selectively depleted in CD8+ effector memory T cells. Mechanistic assays show the variant forces wobble decoding, stalls mitochondrial ribosomes, and impairs differentiation of high-demand effector T cells. Key terms: mitochondria, synonymous mutation, mtDNA, CD8+ T cells, translation.</p>
<p> Study Highlights:<br />The study identifies a mosaic synonymous mtDNA mutation m.7076A&gt;G in MT-CO1 present at ~47% heteroplasmy in a healthy donor and shows selective depletion of the mutant allele specifically in CD8+ effector memory/short-lived effector T cells. MT-CO1 transcript abundance is unchanged by genotype, but mitochondrial ribosome profiling reveals enrichment of the mutant allele in ribosome-protected fragments, consistent with translational stalling. The effect is explained by the limited mitochondrial tRNA pool: the mutant GGG codon requires wobble/super-wobble decoding by the single mt-tRNAGly, reducing codon:anticodon affinity and slowing translation. Short-lived effector CD8+ T cells have elevated translational and metabolic demands that amplify dependence on efficient MT-CO1 translation, driving lineage-specific purifying selection.</p>
<p> Conclusion:<br />A synonymous mtDNA change can have cell type–specific functional consequences by altering codon syntax and translation efficiency; single-cell multiomics reveals purifying selection of such variants in metabolically demanding immune states. These results expand annotation of mitochondrial variation and motivate targeted studies of codon optimality in mtDNA.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cell type–specific purifying selection of synonymous mitochondrial DNA variation</p>
<p> First author:<br />Lareau CA</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2505704122</p>
<p> Reference:<br />Lareau CA, Zielinski S, Stickels RR, et al. Cell type–specific purifying selection of synonymous mitochondrial DNA variation. PNAS. 2025;122(30):e2505704122. doi:10.1073/pnas.2505704122</p>
<p> License:<br />Creative Commons Attribution License 4.0 (CC BY)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cell-typespecific-purifying-selection-of-synonymous-mtdna-variation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content describing (1) identification of the mosaic mtDNA variant m.7076A&gt;G in MT-CO1, (2) CD8+ TEM–specific depletion of the mutant allele, (3) stable MT-CO1 mRNA across genotypes, (4) ribosome profiling showing translational stalling of the mutant codon, (5) wobble decoding due to mt-tRNA limit<br />- transcript topics: Identification of mosaic mtDNA variant m.7076A&gt;G in MT-CO1; CD8+ TEM depletion of m.7076G allele; MT-CO1 transcript levels remain stable; Mitochondrial ribosome profiling and translation pausing; Glycine tRNA limitation and super-wobble decoding; SLEC metabolic dependence on OXPHOS and puromycin/SCENITH data</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- m...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Lareau CA et al., PNAS - Single-cell multiomic profiling identifies a mosaic synonymous mtDNA variant (m.7076A>G) in MT-CO1 that is selectively depleted in CD8+ effector memory T cells. Mechanistic assays show the variant forces wobble decoding, stalls mitochondrial ribosomes, and impairs differentiation of high-demand effector T cells. Key terms: mitochondria, synonymous mutation, mtDNA, CD8+ T cells, translation.
 Study Highlights:The study identifies a mosaic synonymous mtDNA mutation m.7076A>G in MT-CO1 present at ~47% heteroplasmy in a healthy donor and shows selective depletion of the mutant allele specifically in CD8+ effector memory/short-lived effector T cells. MT-CO1 transcript abundance is unchanged by genotype, but mitochondrial ribosome profiling reveals enrichment of the mutant allele in ribosome-protected fragments, consistent with translational stalling. The effect is explained by the limited mitochondrial tRNA pool: the mutant GGG codon requires wobble/super-wobble decoding by the single mt-tRNAGly, reducing codon:anticodon affinity and slowing translation. Short-lived effector CD8+ T cells have elevated translational and metabolic demands that amplify dependence on efficient MT-CO1 translation, driving lineage-specific purifying selection.
 Conclusion:A synonymous mtDNA change can have cell type–specific functional consequences by altering codon syntax and translation efficiency; single-cell multiomics reveals purifying selection of such variants in metabolically demanding immune states. These results expand annotation of mitochondrial variation and motivate targeted studies of codon optimality in mtDNA.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cell type–specific purifying selection of synonymous mitochondrial DNA variation
 First author:Lareau CA
 Journal:PNAS
 DOI:10.1073/pnas.2505704122
 Reference:Lareau CA, Zielinski S, Stickels RR, et al. Cell type–specific purifying selection of synonymous mitochondrial DNA variation. PNAS. 2025;122(30):e2505704122. doi:10.1073/pnas.2505704122
 License:Creative Commons Attribution License 4.0 (CC BY)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cell-typespecific-purifying-selection-of-synonymous-mtdna-variation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content describing (1) identification of the mosaic mtDNA variant m.7076A>G in MT-CO1, (2) CD8+ TEM–specific depletion of the mutant allele, (3) stable MT-CO1 mRNA across genotypes, (4) ribosome profiling showing translational stalling of the mutant codon, (5) wobble decoding due to mt-tRNA limit- transcript topics: Identification of mosaic mtDNA variant m.7076A>G in MT-CO1; CD8+ TEM depletion of m.7076G allele; MT-CO1 transcript levels remain stable; Mitochondrial ribosome profiling and translation pausing; Glycine tRNA limitation and super-wobble decoding; SLEC metabolic dependence on OXPHOS and puromycin/SCENITH data
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- m...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[116: Silent but Stalling: A Synonymous mtDNA Variant Shapes CD8+ T Cells]]>
                </itunes:title>
                                    <itunes:episode>116</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Lareau CA et al., PNAS - Single-cell multiomic profiling identifies a mosaic synonymous mtDNA variant (m.7076A&gt;G) in MT-CO1 that is selectively depleted in CD8+ effector memory T cells. Mechanistic assays show the variant forces wobble decoding, stalls mitochondrial ribosomes, and impairs differentiation of high-demand effector T cells. Key terms: mitochondria, synonymous mutation, mtDNA, CD8+ T cells, translation.</p>
<p> Study Highlights:<br />The study identifies a mosaic synonymous mtDNA mutation m.7076A&gt;G in MT-CO1 present at ~47% heteroplasmy in a healthy donor and shows selective depletion of the mutant allele specifically in CD8+ effector memory/short-lived effector T cells. MT-CO1 transcript abundance is unchanged by genotype, but mitochondrial ribosome profiling reveals enrichment of the mutant allele in ribosome-protected fragments, consistent with translational stalling. The effect is explained by the limited mitochondrial tRNA pool: the mutant GGG codon requires wobble/super-wobble decoding by the single mt-tRNAGly, reducing codon:anticodon affinity and slowing translation. Short-lived effector CD8+ T cells have elevated translational and metabolic demands that amplify dependence on efficient MT-CO1 translation, driving lineage-specific purifying selection.</p>
<p> Conclusion:<br />A synonymous mtDNA change can have cell type–specific functional consequences by altering codon syntax and translation efficiency; single-cell multiomics reveals purifying selection of such variants in metabolically demanding immune states. These results expand annotation of mitochondrial variation and motivate targeted studies of codon optimality in mtDNA.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cell type–specific purifying selection of synonymous mitochondrial DNA variation</p>
<p> First author:<br />Lareau CA</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2505704122</p>
<p> Reference:<br />Lareau CA, Zielinski S, Stickels RR, et al. Cell type–specific purifying selection of synonymous mitochondrial DNA variation. PNAS. 2025;122(30):e2505704122. doi:10.1073/pnas.2505704122</p>
<p> License:<br />Creative Commons Attribution License 4.0 (CC BY)</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cell-typespecific-purifying-selection-of-synonymous-mtdna-variation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content describing (1) identification of the mosaic mtDNA variant m.7076A&gt;G in MT-CO1, (2) CD8+ TEM–specific depletion of the mutant allele, (3) stable MT-CO1 mRNA across genotypes, (4) ribosome profiling showing translational stalling of the mutant codon, (5) wobble decoding due to mt-tRNA limit<br />- transcript topics: Identification of mosaic mtDNA variant m.7076A&gt;G in MT-CO1; CD8+ TEM depletion of m.7076G allele; MT-CO1 transcript levels remain stable; Mitochondrial ribosome profiling and translation pausing; Glycine tRNA limitation and super-wobble decoding; SLEC metabolic dependence on OXPHOS and puromycin/SCENITH data</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- m.7076A&gt;G mosaic synonymous mtDNA variant in MT-CO1 present at ~47% heteroplasmy in donor PBMCs<br />- Mutant m.7076G allele selectively depleted in CD8+ effector memory (TEM) cells, not in other T cell subsets<br />- MT-CO1 mRNA levels are unchanged by genotype<br />- Mutant allele enriched in ribosome-protected fragments, indicating translational stalling<br />- CD8+ T cells with high metabolic demands (SLECs) show increased translational/metabolic activity and selective pressure against the mutant allele<br />- Limited mitochondrial tRNA pool (22 tRNAs); glycine decoding relies on wobble; GGG codon necessitates super-wobble decoding</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Lareau CA et al., PNAS - Single-cell multiomic profiling identifies a mosaic synonymous mtDNA variant (m.7076A>G) in MT-CO1 that is selectively depleted in CD8+ effector memory T cells. Mechanistic assays show the variant forces wobble decoding, stalls mitochondrial ribosomes, and impairs differentiation of high-demand effector T cells. Key terms: mitochondria, synonymous mutation, mtDNA, CD8+ T cells, translation.
 Study Highlights:The study identifies a mosaic synonymous mtDNA mutation m.7076A>G in MT-CO1 present at ~47% heteroplasmy in a healthy donor and shows selective depletion of the mutant allele specifically in CD8+ effector memory/short-lived effector T cells. MT-CO1 transcript abundance is unchanged by genotype, but mitochondrial ribosome profiling reveals enrichment of the mutant allele in ribosome-protected fragments, consistent with translational stalling. The effect is explained by the limited mitochondrial tRNA pool: the mutant GGG codon requires wobble/super-wobble decoding by the single mt-tRNAGly, reducing codon:anticodon affinity and slowing translation. Short-lived effector CD8+ T cells have elevated translational and metabolic demands that amplify dependence on efficient MT-CO1 translation, driving lineage-specific purifying selection.
 Conclusion:A synonymous mtDNA change can have cell type–specific functional consequences by altering codon syntax and translation efficiency; single-cell multiomics reveals purifying selection of such variants in metabolically demanding immune states. These results expand annotation of mitochondrial variation and motivate targeted studies of codon optimality in mtDNA.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cell type–specific purifying selection of synonymous mitochondrial DNA variation
 First author:Lareau CA
 Journal:PNAS
 DOI:10.1073/pnas.2505704122
 Reference:Lareau CA, Zielinski S, Stickels RR, et al. Cell type–specific purifying selection of synonymous mitochondrial DNA variation. PNAS. 2025;122(30):e2505704122. doi:10.1073/pnas.2505704122
 License:Creative Commons Attribution License 4.0 (CC BY)
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cell-typespecific-purifying-selection-of-synonymous-mtdna-variation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content describing (1) identification of the mosaic mtDNA variant m.7076A>G in MT-CO1, (2) CD8+ TEM–specific depletion of the mutant allele, (3) stable MT-CO1 mRNA across genotypes, (4) ribosome profiling showing translational stalling of the mutant codon, (5) wobble decoding due to mt-tRNA limit- transcript topics: Identification of mosaic mtDNA variant m.7076A>G in MT-CO1; CD8+ TEM depletion of m.7076G allele; MT-CO1 transcript levels remain stable; Mitochondrial ribosome profiling and translation pausing; Glycine tRNA limitation and super-wobble decoding; SLEC metabolic dependence on OXPHOS and puromycin/SCENITH data
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- m...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:15:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[115: Neurofibromin, KRAS, and new targets for NF1 tumors]]>
                </title>
                <pubDate>Sun, 24 Aug 2025 16:25:45 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2119892</guid>
                                    <link>https://basebybase.castos.com/episodes/a-transcriptomic-proteomic-and-functional-genetic-atlas-dissects-neurofibromin-function-in-the-perip</link>
                                <description>
                                            <![CDATA[<p>Vasudevan HN et al., PNAS - CRISPRi, transcriptomic and proteomic profiling in peripheral nervous system cell models reveal how NF1 loss rewires Ras signaling, alters MEK inhibitor response, and nominates KRAS as a direct neurofibromin effector and therapeutic target. Key terms: neurofibromin, NF1 loss, KRAS, MEK inhibitor, SHP2 SOS2 compensation.</p>
<p> Study Highlights:<br />Repressing NF1 in immortalized peripheral nerve (iPN) cells increases Ras‑GTP and pERK, drives proliferation and dedifferentiation, and reduces biochemical sensitivity to the MEK inhibitor selumetinib through altered feedback. CRISPRi of PTPN11 produces the opposite transcriptomic program, lowers Ras activity, and sensitizes cells to selumetinib, while SOS1 inhibition is limited by SOS2 compensation. APEX proximity proteomics shows neurofibromin preferentially associates with KRAS (not HRAS/NRAS) in PNS cells, and pan‑KRAS inhibition suppresses ERK and CDK1/2 activity in NF1 mutant cells. Together these data map upstream inputs and downstream outputs of Ras after NF1 loss and identify KRAS as a key, druggable effector in PNS models.</p>
<p> Conclusion:<br />Systematic genetic, transcriptomic, and proteomic dissection in PNS cell models indicates NF1 loss drives KRAS-dependent RAF/MEK/ERK activation and altered MEK inhibitor feedback; targeting KRAS directly — or upstream SHP2 rather than SOS1 where SOS2 compensates — may offer improved therapeutic strategies for NF1-mutant peripheral nerve tumors.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A transcriptomic, proteomic, and functional genetic atlas dissects neurofibromin function in the peripheral nervous system</p>
<p> First author:<br />Vasudevan HN</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2506823122</p>
<p> Reference:<br />Vasudevan HN, Arang N, Sacconi Nunez M, Kennedy P, Payne E, Mohabeer S, Chien J, Wright A, Sale MJ, Kroganc NJ, Forget A, McCormick F. A transcriptomic, proteomic, and functional genetic atlas dissects neurofibromin function in the peripheral nervous system. Proc Natl Acad Sci U S A. 2025;122(27):e2506823122. doi:10.1073/pnas.2506823122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/a-transcriptomic-proteomic-and-functional-genetic-atlas-dissects-neurofibromin-function-in-the-peripheral-nervous-system</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing NF1 loss, Ras signaling, MEK inhibitor resistance, upstream inputs (SOS1/SOS2, SHP2/PTPN11), KRAS as the neurofibromin effector, proximity labeling results, pan-KRAS inhibition, and clinical/translational implications.<br />- transcript topics: NF1 loss and Ras signaling in peripheral nervous system cells; MEK inhibitor resistance and feedback rewiring; Upstream Ras inputs: SOS1/SOS2 and SHP2 (PTPN11); SHP2 vs SOS1 inhibition and compensation by SOS2; APEX proximity labeling: KRAS as the NF1 effector; Pan-KRAS inhibition (BI-2865) effects on ERK and CDK1/2</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0&lt;...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Finding a cure for cancer with no cure</li><li>(00:01:36) - PNAS Live: NF1-related neurofibromat</li><li>(00:04:39) - How did they systematically break down neurofiberman's function?</li><li>(00:05:28) - How did they find NF1 deficiency in neurofibromin</li><li>(00:06:50) - NF1 deficiency in advanced neurofibromas</li><li>(00:09:32) - Kras as the key player in NF1 cancer therapy</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Vasudevan HN et al., PNAS - CRISPRi, transcriptomic and proteomic profiling in peripheral nervous system cell models reveal how NF1 loss rewires Ras signaling, alters MEK inhibitor response, and nominates KRAS as a direct neurofibromin effector and therapeutic target. Key terms: neurofibromin, NF1 loss, KRAS, MEK inhibitor, SHP2 SOS2 compensation.
 Study Highlights:Repressing NF1 in immortalized peripheral nerve (iPN) cells increases Ras‑GTP and pERK, drives proliferation and dedifferentiation, and reduces biochemical sensitivity to the MEK inhibitor selumetinib through altered feedback. CRISPRi of PTPN11 produces the opposite transcriptomic program, lowers Ras activity, and sensitizes cells to selumetinib, while SOS1 inhibition is limited by SOS2 compensation. APEX proximity proteomics shows neurofibromin preferentially associates with KRAS (not HRAS/NRAS) in PNS cells, and pan‑KRAS inhibition suppresses ERK and CDK1/2 activity in NF1 mutant cells. Together these data map upstream inputs and downstream outputs of Ras after NF1 loss and identify KRAS as a key, druggable effector in PNS models.
 Conclusion:Systematic genetic, transcriptomic, and proteomic dissection in PNS cell models indicates NF1 loss drives KRAS-dependent RAF/MEK/ERK activation and altered MEK inhibitor feedback; targeting KRAS directly — or upstream SHP2 rather than SOS1 where SOS2 compensates — may offer improved therapeutic strategies for NF1-mutant peripheral nerve tumors.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A transcriptomic, proteomic, and functional genetic atlas dissects neurofibromin function in the peripheral nervous system
 First author:Vasudevan HN
 Journal:PNAS
 DOI:10.1073/pnas.2506823122
 Reference:Vasudevan HN, Arang N, Sacconi Nunez M, Kennedy P, Payne E, Mohabeer S, Chien J, Wright A, Sale MJ, Kroganc NJ, Forget A, McCormick F. A transcriptomic, proteomic, and functional genetic atlas dissects neurofibromin function in the peripheral nervous system. Proc Natl Acad Sci U S A. 2025;122(27):e2506823122. doi:10.1073/pnas.2506823122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/a-transcriptomic-proteomic-and-functional-genetic-atlas-dissects-neurofibromin-function-in-the-peripheral-nervous-system
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing NF1 loss, Ras signaling, MEK inhibitor resistance, upstream inputs (SOS1/SOS2, SHP2/PTPN11), KRAS as the neurofibromin effector, proximity labeling results, pan-KRAS inhibition, and clinical/translational implications.- transcript topics: NF1 loss and Ras signaling in peripheral nervous system cells; MEK inhibitor resistance and feedback rewiring; Upstream Ras inputs: SOS1/SOS2 and SHP2 (PTPN11); SHP2 vs SOS1 inhibition and compensation by SOS2; APEX proximity labeling: KRAS as the NF1 effector; Pan-KRAS inhibition (BI-2865) effects on ERK and CDK1/2
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0<...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[115: Neurofibromin, KRAS, and new targets for NF1 tumors]]>
                </itunes:title>
                                    <itunes:episode>115</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Vasudevan HN et al., PNAS - CRISPRi, transcriptomic and proteomic profiling in peripheral nervous system cell models reveal how NF1 loss rewires Ras signaling, alters MEK inhibitor response, and nominates KRAS as a direct neurofibromin effector and therapeutic target. Key terms: neurofibromin, NF1 loss, KRAS, MEK inhibitor, SHP2 SOS2 compensation.</p>
<p> Study Highlights:<br />Repressing NF1 in immortalized peripheral nerve (iPN) cells increases Ras‑GTP and pERK, drives proliferation and dedifferentiation, and reduces biochemical sensitivity to the MEK inhibitor selumetinib through altered feedback. CRISPRi of PTPN11 produces the opposite transcriptomic program, lowers Ras activity, and sensitizes cells to selumetinib, while SOS1 inhibition is limited by SOS2 compensation. APEX proximity proteomics shows neurofibromin preferentially associates with KRAS (not HRAS/NRAS) in PNS cells, and pan‑KRAS inhibition suppresses ERK and CDK1/2 activity in NF1 mutant cells. Together these data map upstream inputs and downstream outputs of Ras after NF1 loss and identify KRAS as a key, druggable effector in PNS models.</p>
<p> Conclusion:<br />Systematic genetic, transcriptomic, and proteomic dissection in PNS cell models indicates NF1 loss drives KRAS-dependent RAF/MEK/ERK activation and altered MEK inhibitor feedback; targeting KRAS directly — or upstream SHP2 rather than SOS1 where SOS2 compensates — may offer improved therapeutic strategies for NF1-mutant peripheral nerve tumors.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A transcriptomic, proteomic, and functional genetic atlas dissects neurofibromin function in the peripheral nervous system</p>
<p> First author:<br />Vasudevan HN</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2506823122</p>
<p> Reference:<br />Vasudevan HN, Arang N, Sacconi Nunez M, Kennedy P, Payne E, Mohabeer S, Chien J, Wright A, Sale MJ, Kroganc NJ, Forget A, McCormick F. A transcriptomic, proteomic, and functional genetic atlas dissects neurofibromin function in the peripheral nervous system. Proc Natl Acad Sci U S A. 2025;122(27):e2506823122. doi:10.1073/pnas.2506823122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/a-transcriptomic-proteomic-and-functional-genetic-atlas-dissects-neurofibromin-function-in-the-peripheral-nervous-system</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing NF1 loss, Ras signaling, MEK inhibitor resistance, upstream inputs (SOS1/SOS2, SHP2/PTPN11), KRAS as the neurofibromin effector, proximity labeling results, pan-KRAS inhibition, and clinical/translational implications.<br />- transcript topics: NF1 loss and Ras signaling in peripheral nervous system cells; MEK inhibitor resistance and feedback rewiring; Upstream Ras inputs: SOS1/SOS2 and SHP2 (PTPN11); SHP2 vs SOS1 inhibition and compensation by SOS2; APEX proximity labeling: KRAS as the NF1 effector; Pan-KRAS inhibition (BI-2865) effects on ERK and CDK1/2</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- NF1 loss increases Ras-GTP and pERK, promoting proliferation<br />- NF1 loss decreases sensitivity to MEK inhibitors via altered feedback<br />- PTPN11 (SHP2) perturbation reduces Ras activity and sensitizes to MEK inhibition<br />- SOS1 inhibition is limited by SOS2 compensation; SOS2 knockdown improves SOS1 inhibition response<br />- KRAS, not HRAS/NRAS, is enriched near neurofibromin; KRAS repression increases selumetinib sensitivity<br />- Pan-KRAS inhibitor BI-2865 suppresses ERK activation and CDK1/2 in NF1 mutant cells</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Vasudevan HN et al., PNAS - CRISPRi, transcriptomic and proteomic profiling in peripheral nervous system cell models reveal how NF1 loss rewires Ras signaling, alters MEK inhibitor response, and nominates KRAS as a direct neurofibromin effector and therapeutic target. Key terms: neurofibromin, NF1 loss, KRAS, MEK inhibitor, SHP2 SOS2 compensation.
 Study Highlights:Repressing NF1 in immortalized peripheral nerve (iPN) cells increases Ras‑GTP and pERK, drives proliferation and dedifferentiation, and reduces biochemical sensitivity to the MEK inhibitor selumetinib through altered feedback. CRISPRi of PTPN11 produces the opposite transcriptomic program, lowers Ras activity, and sensitizes cells to selumetinib, while SOS1 inhibition is limited by SOS2 compensation. APEX proximity proteomics shows neurofibromin preferentially associates with KRAS (not HRAS/NRAS) in PNS cells, and pan‑KRAS inhibition suppresses ERK and CDK1/2 activity in NF1 mutant cells. Together these data map upstream inputs and downstream outputs of Ras after NF1 loss and identify KRAS as a key, druggable effector in PNS models.
 Conclusion:Systematic genetic, transcriptomic, and proteomic dissection in PNS cell models indicates NF1 loss drives KRAS-dependent RAF/MEK/ERK activation and altered MEK inhibitor feedback; targeting KRAS directly — or upstream SHP2 rather than SOS1 where SOS2 compensates — may offer improved therapeutic strategies for NF1-mutant peripheral nerve tumors.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A transcriptomic, proteomic, and functional genetic atlas dissects neurofibromin function in the peripheral nervous system
 First author:Vasudevan HN
 Journal:PNAS
 DOI:10.1073/pnas.2506823122
 Reference:Vasudevan HN, Arang N, Sacconi Nunez M, Kennedy P, Payne E, Mohabeer S, Chien J, Wright A, Sale MJ, Kroganc NJ, Forget A, McCormick F. A transcriptomic, proteomic, and functional genetic atlas dissects neurofibromin function in the peripheral nervous system. Proc Natl Acad Sci U S A. 2025;122(27):e2506823122. doi:10.1073/pnas.2506823122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/a-transcriptomic-proteomic-and-functional-genetic-atlas-dissects-neurofibromin-function-in-the-peripheral-nervous-system
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing NF1 loss, Ras signaling, MEK inhibitor resistance, upstream inputs (SOS1/SOS2, SHP2/PTPN11), KRAS as the neurofibromin effector, proximity labeling results, pan-KRAS inhibition, and clinical/translational implications.- transcript topics: NF1 loss and Ras signaling in peripheral nervous system cells; MEK inhibitor resistance and feedback rewiring; Upstream Ras inputs: SOS1/SOS2 and SHP2 (PTPN11); SHP2 vs SOS1 inhibition and compensation by SOS2; APEX proximity labeling: KRAS as the NF1 effector; Pan-KRAS inhibition (BI-2865) effects on ERK and CDK1/2
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0<...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2119892/c1a-p6xp7-z313jk2wa22v-bco4q7.png"></itunes:image>
                                                                            <itunes:duration>00:15:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[114: One-hour extraction-free LAMP HPV test for point-of-care screening]]>
                </title>
                <pubDate>Fri, 22 Aug 2025 09:25:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2114656</guid>
                                    <link>https://basebybase.castos.com/episodes/one-hour-extraction-free-loop-mediated-isothermal-amplification-hpv-dna-assay-for-point-of-care-test</link>
                                <description>
                                            <![CDATA[<p>Barra MJ et al et al., Nature Communications (2025) 16:7295 - This study reports development and analytic evaluation of an extraction-free DARQ LAMP assay detecting HPV16, HPV18, and HPV45 plus a cellular control with a &lt;1 hour sample-to-answer workflow on a low-cost benchtop heater/fluorimeter. Clinical testing in Houston (n=38) and Maputo (n=191) showed 100% and 93% concordance, respectively, with the GeneXpert reference test. Key terms: HPV16, HPV18, HPV45, LAMP, point-of-care.</p>
<p> Study Highlights:<br />The authors developed a multiplexed DARQ LAMP assay targeting HPV16, HPV18, HPV45 and a cellular control and implemented an extraction-free NaOH lysis allowing direct addition of lysate to the reaction. Limits of detection with extracted DNA were 57, 11.7, and 14.3 copies/reaction for HPV16, HPV18, and HPV45, respectively, and with crude lysate were ~30.4 SiHa, 11.7 HeLa, and &lt;10 MS751 cells/reaction. The assay runs on a portable Axxin T8-ISO device in under one hour and achieved 100% concordance in Houston (n=38) and 93% concordance in Maputo (n=191) versus GeneXpert. Extraction-free workflow simplified specimen handling but contributed to reduced sensitivity for samples with low viral load.</p>
<p> Conclusion:<br />An extraction-free, multiplexed DARQ LAMP assay provides rapid (&lt;1 h), sensitive detection of HPV16/18/45 with high concordance to a WHO-prequalified reference test and a simple workflow suitable for point-of-care use in resource-limited settings, while further clinical validation and expansion to additional HPV types are needed.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />One-hour extraction-free loop-mediated isothermal amplification HPV DNA assay for point-of-care testing in Maputo, Mozambique</p>
<p> First author:<br />Barra MJ et al</p>
<p> Journal:<br />Nature Communications (2025) 16:7295</p>
<p> DOI:<br />10.1038/s41467-025-62454-x</p>
<p> Reference:<br />Barra MJ et al. One-hour extraction-free loop-mediated isothermal amplification HPV DNA assay for point-of-care testing in Maputo, Mozambique. Nature Communications (2025) 16:7295. https://doi.org/10.1038/s41467-025-62454-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/one-hour-extraction-free-loop-mediated-isothermal-amplification-hpv-dna-assay-for-point-of-care-testing-in-maputo-mozambique</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s depiction of the DARQ LAMP extraction-free HPV assay, its workflow, device, clinical evaluations, and performance metrics.<br />- transcript topics: HPV biology and cervical cancer screening context; DARQ LAMP methodology and extraction-free lysate; Targets HPV16/HPV18/HPV45 and cellular control; Point-of-care device and workflow (65 C, T8-ISO); Clinical evaluation in Houston and Maputo; Performance metrics, concordance, and limitations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Item...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Barra MJ et al et al., Nature Communications (2025) 16:7295 - This study reports development and analytic evaluation of an extraction-free DARQ LAMP assay detecting HPV16, HPV18, and HPV45 plus a cellular control with a <1 hour sample-to-answer workflow on a low-cost benchtop heater/fluorimeter. Clinical testing in Houston (n=38) and Maputo (n=191) showed 100% and 93% concordance, respectively, with the GeneXpert reference test. Key terms: HPV16, HPV18, HPV45, LAMP, point-of-care.
 Study Highlights:The authors developed a multiplexed DARQ LAMP assay targeting HPV16, HPV18, HPV45 and a cellular control and implemented an extraction-free NaOH lysis allowing direct addition of lysate to the reaction. Limits of detection with extracted DNA were 57, 11.7, and 14.3 copies/reaction for HPV16, HPV18, and HPV45, respectively, and with crude lysate were ~30.4 SiHa, 11.7 HeLa, and <10 MS751 cells/reaction. The assay runs on a portable Axxin T8-ISO device in under one hour and achieved 100% concordance in Houston (n=38) and 93% concordance in Maputo (n=191) versus GeneXpert. Extraction-free workflow simplified specimen handling but contributed to reduced sensitivity for samples with low viral load.
 Conclusion:An extraction-free, multiplexed DARQ LAMP assay provides rapid (<1 h), sensitive detection of HPV16/18/45 with high concordance to a WHO-prequalified reference test and a simple workflow suitable for point-of-care use in resource-limited settings, while further clinical validation and expansion to additional HPV types are needed.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:One-hour extraction-free loop-mediated isothermal amplification HPV DNA assay for point-of-care testing in Maputo, Mozambique
 First author:Barra MJ et al
 Journal:Nature Communications (2025) 16:7295
 DOI:10.1038/s41467-025-62454-x
 Reference:Barra MJ et al. One-hour extraction-free loop-mediated isothermal amplification HPV DNA assay for point-of-care testing in Maputo, Mozambique. Nature Communications (2025) 16:7295. https://doi.org/10.1038/s41467-025-62454-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/one-hour-extraction-free-loop-mediated-isothermal-amplification-hpv-dna-assay-for-point-of-care-testing-in-maputo-mozambique
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s depiction of the DARQ LAMP extraction-free HPV assay, its workflow, device, clinical evaluations, and performance metrics.- transcript topics: HPV biology and cervical cancer screening context; DARQ LAMP methodology and extraction-free lysate; Targets HPV16/HPV18/HPV45 and cellular control; Point-of-care device and workflow (65 C, T8-ISO); Clinical evaluation in Houston and Maputo; Performance metrics, concordance, and limitations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Item...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[114: One-hour extraction-free LAMP HPV test for point-of-care screening]]>
                </itunes:title>
                                    <itunes:episode>114</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Barra MJ et al et al., Nature Communications (2025) 16:7295 - This study reports development and analytic evaluation of an extraction-free DARQ LAMP assay detecting HPV16, HPV18, and HPV45 plus a cellular control with a &lt;1 hour sample-to-answer workflow on a low-cost benchtop heater/fluorimeter. Clinical testing in Houston (n=38) and Maputo (n=191) showed 100% and 93% concordance, respectively, with the GeneXpert reference test. Key terms: HPV16, HPV18, HPV45, LAMP, point-of-care.</p>
<p> Study Highlights:<br />The authors developed a multiplexed DARQ LAMP assay targeting HPV16, HPV18, HPV45 and a cellular control and implemented an extraction-free NaOH lysis allowing direct addition of lysate to the reaction. Limits of detection with extracted DNA were 57, 11.7, and 14.3 copies/reaction for HPV16, HPV18, and HPV45, respectively, and with crude lysate were ~30.4 SiHa, 11.7 HeLa, and &lt;10 MS751 cells/reaction. The assay runs on a portable Axxin T8-ISO device in under one hour and achieved 100% concordance in Houston (n=38) and 93% concordance in Maputo (n=191) versus GeneXpert. Extraction-free workflow simplified specimen handling but contributed to reduced sensitivity for samples with low viral load.</p>
<p> Conclusion:<br />An extraction-free, multiplexed DARQ LAMP assay provides rapid (&lt;1 h), sensitive detection of HPV16/18/45 with high concordance to a WHO-prequalified reference test and a simple workflow suitable for point-of-care use in resource-limited settings, while further clinical validation and expansion to additional HPV types are needed.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />One-hour extraction-free loop-mediated isothermal amplification HPV DNA assay for point-of-care testing in Maputo, Mozambique</p>
<p> First author:<br />Barra MJ et al</p>
<p> Journal:<br />Nature Communications (2025) 16:7295</p>
<p> DOI:<br />10.1038/s41467-025-62454-x</p>
<p> Reference:<br />Barra MJ et al. One-hour extraction-free loop-mediated isothermal amplification HPV DNA assay for point-of-care testing in Maputo, Mozambique. Nature Communications (2025) 16:7295. https://doi.org/10.1038/s41467-025-62454-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/one-hour-extraction-free-loop-mediated-isothermal-amplification-hpv-dna-assay-for-point-of-care-testing-in-maputo-mozambique</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s depiction of the DARQ LAMP extraction-free HPV assay, its workflow, device, clinical evaluations, and performance metrics.<br />- transcript topics: HPV biology and cervical cancer screening context; DARQ LAMP methodology and extraction-free lysate; Targets HPV16/HPV18/HPV45 and cellular control; Point-of-care device and workflow (65 C, T8-ISO); Clinical evaluation in Houston and Maputo; Performance metrics, concordance, and limitations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Targets HPV16/18/45 and cellular gDNA control<br />- Extraction-free lysate prep using NaOH<br />- Four-step protocol on the T8-ISO yielding results in under 1 hour<br />- Clinical concordance: Houston 100% (n=38) and Maputo 93% (n=191)<br />- LOD with extracted DNA: HPV16 57 copies/reaction; HPV18 11.7 copies/reaction; HPV45 14.3 copies/reaction<br />- LOD with crude lysate: HPV16 30.4 SiHa cells; HPV18 11.7 HeLa cells; HPV45 &lt;10 MS751 cells</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Barra MJ et al et al., Nature Communications (2025) 16:7295 - This study reports development and analytic evaluation of an extraction-free DARQ LAMP assay detecting HPV16, HPV18, and HPV45 plus a cellular control with a <1 hour sample-to-answer workflow on a low-cost benchtop heater/fluorimeter. Clinical testing in Houston (n=38) and Maputo (n=191) showed 100% and 93% concordance, respectively, with the GeneXpert reference test. Key terms: HPV16, HPV18, HPV45, LAMP, point-of-care.
 Study Highlights:The authors developed a multiplexed DARQ LAMP assay targeting HPV16, HPV18, HPV45 and a cellular control and implemented an extraction-free NaOH lysis allowing direct addition of lysate to the reaction. Limits of detection with extracted DNA were 57, 11.7, and 14.3 copies/reaction for HPV16, HPV18, and HPV45, respectively, and with crude lysate were ~30.4 SiHa, 11.7 HeLa, and <10 MS751 cells/reaction. The assay runs on a portable Axxin T8-ISO device in under one hour and achieved 100% concordance in Houston (n=38) and 93% concordance in Maputo (n=191) versus GeneXpert. Extraction-free workflow simplified specimen handling but contributed to reduced sensitivity for samples with low viral load.
 Conclusion:An extraction-free, multiplexed DARQ LAMP assay provides rapid (<1 h), sensitive detection of HPV16/18/45 with high concordance to a WHO-prequalified reference test and a simple workflow suitable for point-of-care use in resource-limited settings, while further clinical validation and expansion to additional HPV types are needed.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:One-hour extraction-free loop-mediated isothermal amplification HPV DNA assay for point-of-care testing in Maputo, Mozambique
 First author:Barra MJ et al
 Journal:Nature Communications (2025) 16:7295
 DOI:10.1038/s41467-025-62454-x
 Reference:Barra MJ et al. One-hour extraction-free loop-mediated isothermal amplification HPV DNA assay for point-of-care testing in Maputo, Mozambique. Nature Communications (2025) 16:7295. https://doi.org/10.1038/s41467-025-62454-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/one-hour-extraction-free-loop-mediated-isothermal-amplification-hpv-dna-assay-for-point-of-care-testing-in-maputo-mozambique
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s depiction of the DARQ LAMP extraction-free HPV assay, its workflow, device, clinical evaluations, and performance metrics.- transcript topics: HPV biology and cervical cancer screening context; DARQ LAMP methodology and extraction-free lysate; Targets HPV16/HPV18/HPV45 and cellular control; Point-of-care device and workflow (65 C, T8-ISO); Clinical evaluation in Houston and Maputo; Performance metrics, concordance, and limitations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Item...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:16:31</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[113: Joint cohort genomics cracks ultra‑rare disease cases]]>
                </title>
                <pubDate>Thu, 21 Aug 2025 09:20:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2114655</guid>
                                    <link>https://basebybase.castos.com/episodes/joint-multifaceted-genomic-analysis-enables-diagnosis-of-ultra-rare-monogenic-presentations</link>
                                <description>
                                            <![CDATA[<p>Nadimpalli Kobren S et al., Nature Communications - The Undiagnosed Diseases Network (UDN) applied joint whole‑genome analysis across 4,236 individuals and introduced RaMeDiES, an analytical framework to prioritize genes by de novo recurrence and compound heterozygosity while integrating intronic splice predictions and experimental validation. The work recapitulated known diagnoses, identified new diagnoses and candidates, and released software and a public browser to enable cross‑cohort, deidentified discovery. Key terms: rare disease, whole genome sequencing, de novo mutations, compound heterozygosity, RaMeDiES.</p>
<p> Study Highlights:<br />The authors jointly called SNVs and indels across the UDN whole‑genome cohort and developed RaMeDiES statistical methods to detect genes enriched for deleterious de novo mutations and for recurrent compound heterozygous events. They extended analyses to deep intronic splice‑altering variants using SpliceAI and validated predictions with a massively parallel splicing reporter assay (MPSA). RaMeDiES recovered known diagnoses, produced five new diagnoses and multiple strong candidates, and runs fast on summary-level mutational targets enabling cross-cohort meta-analysis. A public browser and open-source RaMeDiES package were released to support automated, deidentified joint analyses.</p>
<p> Conclusion:<br />Well‑calibrated, cohort‑level statistical analyses of whole genomes can complement per‑case evaluation to reveal diagnoses and candidate genes in diverse ultra‑rare disease presentations, and RaMeDiES enables scalable, shareable discovery across sequenced cohorts.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Joint, multifaceted genomic analysis enables diagnosis of diverse, ultra-rare monogenic presentations</p>
<p> First author:<br />Nadimpalli Kobren S</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61712-2</p>
<p> Reference:<br />Nadimpalli Kobren S, Moldovan MA, Reimers R, et al. Joint, multifaceted genomic analysis enables diagnosis of diverse, ultra-rare monogenic presentations. Nat Commun (2025) 16:7267. doi:10.1038/s41467-025-61712-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/joint-multifaceted-genomic-analysis-enables-diagnosis-of-ultra-rare-monogenic-presentations</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing RaMeDiES (joint genomic analysis), RaMeDiES-DN (de novo recurrence), RaMeDiES-CH (compound heterozygosity), intronic/splice-variant incorporation (SpliceAI, MPSA), pathway clustering, privacy-preserving data sharing, and study limitations.<br />- transcript topics: RaMeDiES overview and genotype-first analysis; RaMeDiES-DN de novo recurrence and mutation-rate modeling (Roulette); RaMeDiES-CH compound heterozygosity analysis and trio-based conditioning; Intron-splice variant integration (SpliceAI) and MPSA validation; Pathway analysis and phenotype clustering across cohorts; Privacy-preserving cross-cohort sharing via summary statistics</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nadimpalli Kobren S et al., Nature Communications - The Undiagnosed Diseases Network (UDN) applied joint whole‑genome analysis across 4,236 individuals and introduced RaMeDiES, an analytical framework to prioritize genes by de novo recurrence and compound heterozygosity while integrating intronic splice predictions and experimental validation. The work recapitulated known diagnoses, identified new diagnoses and candidates, and released software and a public browser to enable cross‑cohort, deidentified discovery. Key terms: rare disease, whole genome sequencing, de novo mutations, compound heterozygosity, RaMeDiES.
 Study Highlights:The authors jointly called SNVs and indels across the UDN whole‑genome cohort and developed RaMeDiES statistical methods to detect genes enriched for deleterious de novo mutations and for recurrent compound heterozygous events. They extended analyses to deep intronic splice‑altering variants using SpliceAI and validated predictions with a massively parallel splicing reporter assay (MPSA). RaMeDiES recovered known diagnoses, produced five new diagnoses and multiple strong candidates, and runs fast on summary-level mutational targets enabling cross-cohort meta-analysis. A public browser and open-source RaMeDiES package were released to support automated, deidentified joint analyses.
 Conclusion:Well‑calibrated, cohort‑level statistical analyses of whole genomes can complement per‑case evaluation to reveal diagnoses and candidate genes in diverse ultra‑rare disease presentations, and RaMeDiES enables scalable, shareable discovery across sequenced cohorts.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Joint, multifaceted genomic analysis enables diagnosis of diverse, ultra-rare monogenic presentations
 First author:Nadimpalli Kobren S
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61712-2
 Reference:Nadimpalli Kobren S, Moldovan MA, Reimers R, et al. Joint, multifaceted genomic analysis enables diagnosis of diverse, ultra-rare monogenic presentations. Nat Commun (2025) 16:7267. doi:10.1038/s41467-025-61712-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/joint-multifaceted-genomic-analysis-enables-diagnosis-of-ultra-rare-monogenic-presentations
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing RaMeDiES (joint genomic analysis), RaMeDiES-DN (de novo recurrence), RaMeDiES-CH (compound heterozygosity), intronic/splice-variant incorporation (SpliceAI, MPSA), pathway clustering, privacy-preserving data sharing, and study limitations.- transcript topics: RaMeDiES overview and genotype-first analysis; RaMeDiES-DN de novo recurrence and mutation-rate modeling (Roulette); RaMeDiES-CH compound heterozygosity analysis and trio-based conditioning; Intron-splice variant integration (SpliceAI) and MPSA validation; Pathway analysis and phenotype clustering across cohorts; Privacy-preserving cross-cohort sharing via summary statistics
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[113: Joint cohort genomics cracks ultra‑rare disease cases]]>
                </itunes:title>
                                    <itunes:episode>113</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nadimpalli Kobren S et al., Nature Communications - The Undiagnosed Diseases Network (UDN) applied joint whole‑genome analysis across 4,236 individuals and introduced RaMeDiES, an analytical framework to prioritize genes by de novo recurrence and compound heterozygosity while integrating intronic splice predictions and experimental validation. The work recapitulated known diagnoses, identified new diagnoses and candidates, and released software and a public browser to enable cross‑cohort, deidentified discovery. Key terms: rare disease, whole genome sequencing, de novo mutations, compound heterozygosity, RaMeDiES.</p>
<p> Study Highlights:<br />The authors jointly called SNVs and indels across the UDN whole‑genome cohort and developed RaMeDiES statistical methods to detect genes enriched for deleterious de novo mutations and for recurrent compound heterozygous events. They extended analyses to deep intronic splice‑altering variants using SpliceAI and validated predictions with a massively parallel splicing reporter assay (MPSA). RaMeDiES recovered known diagnoses, produced five new diagnoses and multiple strong candidates, and runs fast on summary-level mutational targets enabling cross-cohort meta-analysis. A public browser and open-source RaMeDiES package were released to support automated, deidentified joint analyses.</p>
<p> Conclusion:<br />Well‑calibrated, cohort‑level statistical analyses of whole genomes can complement per‑case evaluation to reveal diagnoses and candidate genes in diverse ultra‑rare disease presentations, and RaMeDiES enables scalable, shareable discovery across sequenced cohorts.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Joint, multifaceted genomic analysis enables diagnosis of diverse, ultra-rare monogenic presentations</p>
<p> First author:<br />Nadimpalli Kobren S</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61712-2</p>
<p> Reference:<br />Nadimpalli Kobren S, Moldovan MA, Reimers R, et al. Joint, multifaceted genomic analysis enables diagnosis of diverse, ultra-rare monogenic presentations. Nat Commun (2025) 16:7267. doi:10.1038/s41467-025-61712-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/joint-multifaceted-genomic-analysis-enables-diagnosis-of-ultra-rare-monogenic-presentations</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing RaMeDiES (joint genomic analysis), RaMeDiES-DN (de novo recurrence), RaMeDiES-CH (compound heterozygosity), intronic/splice-variant incorporation (SpliceAI, MPSA), pathway clustering, privacy-preserving data sharing, and study limitations.<br />- transcript topics: RaMeDiES overview and genotype-first analysis; RaMeDiES-DN de novo recurrence and mutation-rate modeling (Roulette); RaMeDiES-CH compound heterozygosity analysis and trio-based conditioning; Intron-splice variant integration (SpliceAI) and MPSA validation; Pathway analysis and phenotype clustering across cohorts; Privacy-preserving cross-cohort sharing via summary statistics</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- RaMeDiES identified five new diagnoses and three putative diagnoses in the UDN dataset<br />- MED11 intronic variants cause cryptic splicing resolved by RNA sequencing showing first-intron retention<br />- LRRC7 de novo variants detected in two patients with overlapping hypotonia/developmental delay phenotypes<br />- H4C5 histone gene variants detected with infantile-onset motor delays in de novo analyses<br />- Incorporation of intronic/splice variants via SpliceAI and validation with MPSA<br />- Taste transduction pathway enrichment linked to CACNA1C, GABRA3, HCN4 within patient clusters</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Nadimpalli Kobren S et al., Nature Communications - The Undiagnosed Diseases Network (UDN) applied joint whole‑genome analysis across 4,236 individuals and introduced RaMeDiES, an analytical framework to prioritize genes by de novo recurrence and compound heterozygosity while integrating intronic splice predictions and experimental validation. The work recapitulated known diagnoses, identified new diagnoses and candidates, and released software and a public browser to enable cross‑cohort, deidentified discovery. Key terms: rare disease, whole genome sequencing, de novo mutations, compound heterozygosity, RaMeDiES.
 Study Highlights:The authors jointly called SNVs and indels across the UDN whole‑genome cohort and developed RaMeDiES statistical methods to detect genes enriched for deleterious de novo mutations and for recurrent compound heterozygous events. They extended analyses to deep intronic splice‑altering variants using SpliceAI and validated predictions with a massively parallel splicing reporter assay (MPSA). RaMeDiES recovered known diagnoses, produced five new diagnoses and multiple strong candidates, and runs fast on summary-level mutational targets enabling cross-cohort meta-analysis. A public browser and open-source RaMeDiES package were released to support automated, deidentified joint analyses.
 Conclusion:Well‑calibrated, cohort‑level statistical analyses of whole genomes can complement per‑case evaluation to reveal diagnoses and candidate genes in diverse ultra‑rare disease presentations, and RaMeDiES enables scalable, shareable discovery across sequenced cohorts.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Joint, multifaceted genomic analysis enables diagnosis of diverse, ultra-rare monogenic presentations
 First author:Nadimpalli Kobren S
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61712-2
 Reference:Nadimpalli Kobren S, Moldovan MA, Reimers R, et al. Joint, multifaceted genomic analysis enables diagnosis of diverse, ultra-rare monogenic presentations. Nat Commun (2025) 16:7267. doi:10.1038/s41467-025-61712-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/joint-multifaceted-genomic-analysis-enables-diagnosis-of-ultra-rare-monogenic-presentations
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing RaMeDiES (joint genomic analysis), RaMeDiES-DN (de novo recurrence), RaMeDiES-CH (compound heterozygosity), intronic/splice-variant incorporation (SpliceAI, MPSA), pathway clustering, privacy-preserving data sharing, and study limitations.- transcript topics: RaMeDiES overview and genotype-first analysis; RaMeDiES-DN de novo recurrence and mutation-rate modeling (Roulette); RaMeDiES-CH compound heterozygosity analysis and trio-based conditioning; Intron-splice variant integration (SpliceAI) and MPSA validation; Pathway analysis and phenotype clustering across cohorts; Privacy-preserving cross-cohort sharing via summary statistics
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2114655/c1a-p6xp7-47472xd9f184-lys1qp.png"></itunes:image>
                                                                            <itunes:duration>00:22:08</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[112: Local Genetic Sex Differences in Quantitative Traits]]>
                </title>
                <pubDate>Wed, 20 Aug 2025 09:20:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2114225</guid>
                                    <link>https://basebybase.castos.com/episodes/local-genetic-sex-differences-in-quantitative-traits</link>
                                <description>
                                            <![CDATA[<p>️ Episode 112: Local Genetic Sex Differences in Quantitative Traits</p>
<p> In this episode of PaperCast Base by Base, we explore how genetic differences between males and females are distributed across the genome, moving beyond global averages of heritability and correlation. The study introduces a fine-scale approach using LAVA to examine local genetic sex differences across 157 quantitative traits in the UK Biobank.</p>
<p> Study Highlights:<br />The researchers analyzed sex-stratified GWAS summary statistics and partitioned the genome into nearly 2,500 loci. They estimated local heritabilities, genetic correlations, and equality of genetic effects, finding that nearly every trait had at least one locus with sex-specific genetic architecture. Many differences appeared in blood biomarkers, with testosterone, urate, and lipoprotein traits showing strong local divergence. The study also demonstrated how interpretations vary depending on whether genetic effect sizes are assessed on raw or standardized scales, with standardized scales being more informative for heritability comparisons. Moreover, loci such as APOE and AKR1C genes revealed clear biological differences between the sexes, highlighting how local analyses can uncover dimorphic mechanisms missed in global assessments.</p>
<p> Conclusion:<br />This work shows that local analyses provide crucial insights into sex-specific genetic effects, revealing subtle but biologically meaningful differences that global metrics can obscure.</p>
<p> Reference:<br />Uffelmann, E., de Leeuw, C., Schipper, M., &amp; Posthuma, D. (2025). Local genetic sex differences in quantitative traits. *Nature Communications, 16*(7232). https://doi.org/10.1038/s41467-025-62504-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p> Keywords: sex differences, local heritability, genetic correlation, GWAS, quantitative traits</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> </p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 112: Local Genetic Sex Differences in Quantitative Traits
 In this episode of PaperCast Base by Base, we explore how genetic differences between males and females are distributed across the genome, moving beyond global averages of heritability and correlation. The study introduces a fine-scale approach using LAVA to examine local genetic sex differences across 157 quantitative traits in the UK Biobank.
 Study Highlights:The researchers analyzed sex-stratified GWAS summary statistics and partitioned the genome into nearly 2,500 loci. They estimated local heritabilities, genetic correlations, and equality of genetic effects, finding that nearly every trait had at least one locus with sex-specific genetic architecture. Many differences appeared in blood biomarkers, with testosterone, urate, and lipoprotein traits showing strong local divergence. The study also demonstrated how interpretations vary depending on whether genetic effect sizes are assessed on raw or standardized scales, with standardized scales being more informative for heritability comparisons. Moreover, loci such as APOE and AKR1C genes revealed clear biological differences between the sexes, highlighting how local analyses can uncover dimorphic mechanisms missed in global assessments.
 Conclusion:This work shows that local analyses provide crucial insights into sex-specific genetic effects, revealing subtle but biologically meaningful differences that global metrics can obscure.
 Reference:Uffelmann, E., de Leeuw, C., Schipper, M., & Posthuma, D. (2025). Local genetic sex differences in quantitative traits. *Nature Communications, 16*(7232). https://doi.org/10.1038/s41467-025-62504-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Keywords: sex differences, local heritability, genetic correlation, GWAS, quantitative traits
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[112: Local Genetic Sex Differences in Quantitative Traits]]>
                </itunes:title>
                                    <itunes:episode>112</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 112: Local Genetic Sex Differences in Quantitative Traits</p>
<p> In this episode of PaperCast Base by Base, we explore how genetic differences between males and females are distributed across the genome, moving beyond global averages of heritability and correlation. The study introduces a fine-scale approach using LAVA to examine local genetic sex differences across 157 quantitative traits in the UK Biobank.</p>
<p> Study Highlights:<br />The researchers analyzed sex-stratified GWAS summary statistics and partitioned the genome into nearly 2,500 loci. They estimated local heritabilities, genetic correlations, and equality of genetic effects, finding that nearly every trait had at least one locus with sex-specific genetic architecture. Many differences appeared in blood biomarkers, with testosterone, urate, and lipoprotein traits showing strong local divergence. The study also demonstrated how interpretations vary depending on whether genetic effect sizes are assessed on raw or standardized scales, with standardized scales being more informative for heritability comparisons. Moreover, loci such as APOE and AKR1C genes revealed clear biological differences between the sexes, highlighting how local analyses can uncover dimorphic mechanisms missed in global assessments.</p>
<p> Conclusion:<br />This work shows that local analyses provide crucial insights into sex-specific genetic effects, revealing subtle but biologically meaningful differences that global metrics can obscure.</p>
<p> Reference:<br />Uffelmann, E., de Leeuw, C., Schipper, M., &amp; Posthuma, D. (2025). Local genetic sex differences in quantitative traits. *Nature Communications, 16*(7232). https://doi.org/10.1038/s41467-025-62504-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p> Keywords: sex differences, local heritability, genetic correlation, GWAS, quantitative traits</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> </p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 112: Local Genetic Sex Differences in Quantitative Traits
 In this episode of PaperCast Base by Base, we explore how genetic differences between males and females are distributed across the genome, moving beyond global averages of heritability and correlation. The study introduces a fine-scale approach using LAVA to examine local genetic sex differences across 157 quantitative traits in the UK Biobank.
 Study Highlights:The researchers analyzed sex-stratified GWAS summary statistics and partitioned the genome into nearly 2,500 loci. They estimated local heritabilities, genetic correlations, and equality of genetic effects, finding that nearly every trait had at least one locus with sex-specific genetic architecture. Many differences appeared in blood biomarkers, with testosterone, urate, and lipoprotein traits showing strong local divergence. The study also demonstrated how interpretations vary depending on whether genetic effect sizes are assessed on raw or standardized scales, with standardized scales being more informative for heritability comparisons. Moreover, loci such as APOE and AKR1C genes revealed clear biological differences between the sexes, highlighting how local analyses can uncover dimorphic mechanisms missed in global assessments.
 Conclusion:This work shows that local analyses provide crucial insights into sex-specific genetic effects, revealing subtle but biologically meaningful differences that global metrics can obscure.
 Reference:Uffelmann, E., de Leeuw, C., Schipper, M., & Posthuma, D. (2025). Local genetic sex differences in quantitative traits. *Nature Communications, 16*(7232). https://doi.org/10.1038/s41467-025-62504-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 Keywords: sex differences, local heritability, genetic correlation, GWAS, quantitative traits
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 ]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2114225/c1a-p6xp7-ww89n477f8xn-tcdrtg.png"></itunes:image>
                                                                            <itunes:duration>00:21:16</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[111: HANCOCK: Multimodal Dataset for Precision Oncology in Head and Neck Cancer]]>
                </title>
                <pubDate>Tue, 19 Aug 2025 09:15:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2114221</guid>
                                    <link>https://basebybase.castos.com/episodes/a-multimodal-dataset-for-precision-oncology-in-head-and-neck-cancer</link>
                                <description>
                                            <![CDATA[<p>Dörrich M et al., Nature Communications - This episode summarizes HANCOCK, a monocentric multimodal dataset of 763 head and neck cancer patients combining demographics, structured pathology and blood data, surgery reports, whole-slide images (WSIs) and tissue microarrays (TMAs). The paper demonstrates that multimodal machine learning and multiple instance learning with histopathology foundation models improve prediction of recurrence and survival and that the dataset is publicly available for research. Key terms: multimodal dataset, head and neck cancer, histopathology, machine learning, precision oncology.</p>
<p> Study Highlights:<br />The authors assembled HANCOCK, a harmonized multimodal cohort of 763 head and neck cancer patients including 701 primary tumor WSIs and 368 TMAs alongside clinical, laboratory, and surgery-report data. They encoded each modality into multimodal patient vectors, used UMAP to explore patient clusters, and trained Random Forests to predict recurrence and survival with a maximum average AUC of 0.79. Multiple instance learning (CLAM) with self-supervised histology encoders (e.g., UNI, ResNet18) produced high localization AUCs and combining WSI and TMA inputs improved survival prediction (test AUC ~0.69 vs 0.65 and 0.52). The dataset and code are publicly released to enable reproducible multimodal research in precision oncology.</p>
<p> Conclusion:<br />HANCOCK is a large, publicly available multimodal resource that enables development and validation of multimodal ML and MIL approaches in head and neck oncology and is positioned to accelerate biomarker discovery and precision treatment research.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A multimodal dataset for precision oncology in head and neck cancer</p>
<p> First author:<br />Dörrich M</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-62386-6</p>
<p> Reference:<br />Dörrich M., Balk M., Heusinger T., et al. A multimodal dataset for precision oncology in head and neck cancer. Nature Communications (2025) 16:7163. doi:10.1038/s41467-025-62386-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/a-multimodal-dataset-for-precision-oncology-in-head-and-neck-cancer</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Evaluated the transcript sections describing HANCOCK dataset composition, multimodal fusion strategy, imaging-based MIL using CLAM and UNI, data-split strategy with genetic algorithm, performance outcomes (AUCs), biomarker context (HPV/PD-L1), and dataset availability/future directions.<br />- transcript topics: HANCOCK dataset overview and modalities; Multimodal data integration and early fusion; Imaging data: MIL/CLAM and histology foundation models (UNI); Genetic algorithm-based data splits for training/testing; Performance outcomes: recurrence and survival AUCs; Biomarkers and biology: HPV status and PD-L1</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_jou...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Dörrich M et al., Nature Communications - This episode summarizes HANCOCK, a monocentric multimodal dataset of 763 head and neck cancer patients combining demographics, structured pathology and blood data, surgery reports, whole-slide images (WSIs) and tissue microarrays (TMAs). The paper demonstrates that multimodal machine learning and multiple instance learning with histopathology foundation models improve prediction of recurrence and survival and that the dataset is publicly available for research. Key terms: multimodal dataset, head and neck cancer, histopathology, machine learning, precision oncology.
 Study Highlights:The authors assembled HANCOCK, a harmonized multimodal cohort of 763 head and neck cancer patients including 701 primary tumor WSIs and 368 TMAs alongside clinical, laboratory, and surgery-report data. They encoded each modality into multimodal patient vectors, used UMAP to explore patient clusters, and trained Random Forests to predict recurrence and survival with a maximum average AUC of 0.79. Multiple instance learning (CLAM) with self-supervised histology encoders (e.g., UNI, ResNet18) produced high localization AUCs and combining WSI and TMA inputs improved survival prediction (test AUC ~0.69 vs 0.65 and 0.52). The dataset and code are publicly released to enable reproducible multimodal research in precision oncology.
 Conclusion:HANCOCK is a large, publicly available multimodal resource that enables development and validation of multimodal ML and MIL approaches in head and neck oncology and is positioned to accelerate biomarker discovery and precision treatment research.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A multimodal dataset for precision oncology in head and neck cancer
 First author:Dörrich M
 Journal:Nature Communications
 DOI:10.1038/s41467-025-62386-6
 Reference:Dörrich M., Balk M., Heusinger T., et al. A multimodal dataset for precision oncology in head and neck cancer. Nature Communications (2025) 16:7163. doi:10.1038/s41467-025-62386-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/a-multimodal-dataset-for-precision-oncology-in-head-and-neck-cancer
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Evaluated the transcript sections describing HANCOCK dataset composition, multimodal fusion strategy, imaging-based MIL using CLAM and UNI, data-split strategy with genetic algorithm, performance outcomes (AUCs), biomarker context (HPV/PD-L1), and dataset availability/future directions.- transcript topics: HANCOCK dataset overview and modalities; Multimodal data integration and early fusion; Imaging data: MIL/CLAM and histology foundation models (UNI); Genetic algorithm-based data splits for training/testing; Performance outcomes: recurrence and survival AUCs; Biomarkers and biology: HPV status and PD-L1
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_jou...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[111: HANCOCK: Multimodal Dataset for Precision Oncology in Head and Neck Cancer]]>
                </itunes:title>
                                    <itunes:episode>111</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Dörrich M et al., Nature Communications - This episode summarizes HANCOCK, a monocentric multimodal dataset of 763 head and neck cancer patients combining demographics, structured pathology and blood data, surgery reports, whole-slide images (WSIs) and tissue microarrays (TMAs). The paper demonstrates that multimodal machine learning and multiple instance learning with histopathology foundation models improve prediction of recurrence and survival and that the dataset is publicly available for research. Key terms: multimodal dataset, head and neck cancer, histopathology, machine learning, precision oncology.</p>
<p> Study Highlights:<br />The authors assembled HANCOCK, a harmonized multimodal cohort of 763 head and neck cancer patients including 701 primary tumor WSIs and 368 TMAs alongside clinical, laboratory, and surgery-report data. They encoded each modality into multimodal patient vectors, used UMAP to explore patient clusters, and trained Random Forests to predict recurrence and survival with a maximum average AUC of 0.79. Multiple instance learning (CLAM) with self-supervised histology encoders (e.g., UNI, ResNet18) produced high localization AUCs and combining WSI and TMA inputs improved survival prediction (test AUC ~0.69 vs 0.65 and 0.52). The dataset and code are publicly released to enable reproducible multimodal research in precision oncology.</p>
<p> Conclusion:<br />HANCOCK is a large, publicly available multimodal resource that enables development and validation of multimodal ML and MIL approaches in head and neck oncology and is positioned to accelerate biomarker discovery and precision treatment research.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A multimodal dataset for precision oncology in head and neck cancer</p>
<p> First author:<br />Dörrich M</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-62386-6</p>
<p> Reference:<br />Dörrich M., Balk M., Heusinger T., et al. A multimodal dataset for precision oncology in head and neck cancer. Nature Communications (2025) 16:7163. doi:10.1038/s41467-025-62386-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/a-multimodal-dataset-for-precision-oncology-in-head-and-neck-cancer</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Evaluated the transcript sections describing HANCOCK dataset composition, multimodal fusion strategy, imaging-based MIL using CLAM and UNI, data-split strategy with genetic algorithm, performance outcomes (AUCs), biomarker context (HPV/PD-L1), and dataset availability/future directions.<br />- transcript topics: HANCOCK dataset overview and modalities; Multimodal data integration and early fusion; Imaging data: MIL/CLAM and histology foundation models (UNI); Genetic algorithm-based data splits for training/testing; Performance outcomes: recurrence and survival AUCs; Biomarkers and biology: HPV status and PD-L1</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- HANCOCK contains real-world data from 763 head and neck cancer patients with multimodal data (demographics, blood data, pathology/surgery reports, histologic images).<br />- WSIs: 701 primary-tumor WSIs; 396 lymph-node WSIs; 368 TMAs with HE/IHC staining.<br />- Multimodal integration uses early fusion; maximum average AUC ~0.79 for recurrence and survival.<br />- MIL (CLAM) with histology foundation models (UNI) yields high localization AUCs (~0.94–0.96).<br />- Combining WSIs and TMAs improves survival prediction (average AUC ~0.69) versus WSIs alone (0.65) or TMAs alone (0.52).<br />- Reproduction of known biomarkers: HPV status and PD-L1 have predictive value for outcomes; dataset public availability is highlighted.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Dörrich M et al., Nature Communications - This episode summarizes HANCOCK, a monocentric multimodal dataset of 763 head and neck cancer patients combining demographics, structured pathology and blood data, surgery reports, whole-slide images (WSIs) and tissue microarrays (TMAs). The paper demonstrates that multimodal machine learning and multiple instance learning with histopathology foundation models improve prediction of recurrence and survival and that the dataset is publicly available for research. Key terms: multimodal dataset, head and neck cancer, histopathology, machine learning, precision oncology.
 Study Highlights:The authors assembled HANCOCK, a harmonized multimodal cohort of 763 head and neck cancer patients including 701 primary tumor WSIs and 368 TMAs alongside clinical, laboratory, and surgery-report data. They encoded each modality into multimodal patient vectors, used UMAP to explore patient clusters, and trained Random Forests to predict recurrence and survival with a maximum average AUC of 0.79. Multiple instance learning (CLAM) with self-supervised histology encoders (e.g., UNI, ResNet18) produced high localization AUCs and combining WSI and TMA inputs improved survival prediction (test AUC ~0.69 vs 0.65 and 0.52). The dataset and code are publicly released to enable reproducible multimodal research in precision oncology.
 Conclusion:HANCOCK is a large, publicly available multimodal resource that enables development and validation of multimodal ML and MIL approaches in head and neck oncology and is positioned to accelerate biomarker discovery and precision treatment research.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A multimodal dataset for precision oncology in head and neck cancer
 First author:Dörrich M
 Journal:Nature Communications
 DOI:10.1038/s41467-025-62386-6
 Reference:Dörrich M., Balk M., Heusinger T., et al. A multimodal dataset for precision oncology in head and neck cancer. Nature Communications (2025) 16:7163. doi:10.1038/s41467-025-62386-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/a-multimodal-dataset-for-precision-oncology-in-head-and-neck-cancer
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Evaluated the transcript sections describing HANCOCK dataset composition, multimodal fusion strategy, imaging-based MIL using CLAM and UNI, data-split strategy with genetic algorithm, performance outcomes (AUCs), biomarker context (HPV/PD-L1), and dataset availability/future directions.- transcript topics: HANCOCK dataset overview and modalities; Multimodal data integration and early fusion; Imaging data: MIL/CLAM and histology foundation models (UNI); Genetic algorithm-based data splits for training/testing; Performance outcomes: recurrence and survival AUCs; Biomarkers and biology: HPV status and PD-L1
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_jou...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:17:06</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[110: Rare coding variants implicate STAG1 and ZNF136 in schizophrenia]]>
                </title>
                <pubDate>Mon, 18 Aug 2025 18:09:23 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2114213</guid>
                                    <link>https://basebybase.castos.com/episodes/whole-exome-sequencing-identifies-new-schizophrenia-risk-genes</link>
                                <description>
                                            <![CDATA[<p>Chick SL et al et al., Nature Communications - Largest exome-sequencing meta-analysis to date (28,898 cases, 103,041 controls, 3,444 trios) identifies STAG1 and ZNF136 at exome-wide significance and six additional genes at FDR&lt;5%, highlighting roles for chromatin organisation and GABAergic signalling. Key terms: schizophrenia, rare coding variants, STAG1, SLC6A1, whole-exome sequencing.</p>
<p> Study Highlights:<br />The authors generated a new exome-sequenced case-control sample (4,650 cases, 5,719 controls) and meta-analysed published data for a total of 28,898 cases, 103,041 controls and 3,444 trios. They report exome-wide significant enrichment of rare PTVs and damaging missense variants in STAG1 and PTVs in ZNF136, plus six genes at FDR&lt;5% including SLC6A1 and KLC1. SLC6A1 and KLC1 associations are driven by damaging missense variants, and STAG1 and KLC1 overlap loci from schizophrenia GWAS. Several implicated genes show pleiotropic rare-variant enrichment in developmental disorders, autism and epilepsy.</p>
<p> Conclusion:<br />STAG1 and ZNF136 are implicated in schizophrenia at exome-wide significance and six additional genes at FDR&lt;5%, supporting disrupted chromatin organisation and altered GABAergic/neural transport pathways in disease etiology.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Whole-exome sequencing analysis identifies risk genes for schizophrenia</p>
<p> First author:<br />Chick SL et al</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-62429-y</p>
<p> Reference:<br />Chick SL et al., Whole-exome sequencing analysis identifies risk genes for schizophrenia. Nature Communications (2025). DOI: 10.1038/s41467-025-62429-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/whole-exome-sequencing-identifies-new-schizophrenia-risk-genes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering study design and sample, gene discoveries (STAG1, ZNF136; six additional genes), mechanistic biology (cohesin/chromatin, GABA signaling), convergence with common-variant signals, NRXN1 CNV locus, pleiotropy, and limitations.<br />- transcript topics: Study design and new exome sequencing sample; Gene discovery: STAG1 and ZNF136 (exome-wide); Six additional genes at FDR&lt;5%: SLC6A1, PCLO, ZMYND11, BSCL2, KLC1, CGREF1; Damaging missense variants driving SLC6A1 and KLC1 (MPC &gt; 2); Convergence of rare- and common-variant signals at STAG1 and KLC1; NRXN1 PTV enrichment and CNV locus overlap</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- STAG1 exome-wide significance for rare PTVs and damaging missense (MPC&gt;2)<br />- ZNF136 exome-wide significance for rare PTVs<br />- Six additional genes at FDR&lt;5%: SLC6A1, PCLO, ZMYND11, BSCL2, KLC1, CGREF1<br />- SLC6A1 and KLC1 associations driven by damaging missense variants (MPC&gt;2) alone<br />- NRXN1...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - The genetics of schizophrenia</li><li>(00:01:21) - Celebrating the genetic puzzle of schizophrenia</li><li>(00:05:28) - The Bigger Study of Schizophrenia</li><li>(00:08:29) - Schizophrenia genetics: The gold standard</li><li>(00:10:59) - The convergence of genetic signals for STAG1 and KLC1</li><li>(00:12:21) - Scratching the genetic map of schizophrenia</li><li>(00:16:49) - Schizophrenia genetic diversity and how to spot it</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Chick SL et al et al., Nature Communications - Largest exome-sequencing meta-analysis to date (28,898 cases, 103,041 controls, 3,444 trios) identifies STAG1 and ZNF136 at exome-wide significance and six additional genes at FDR<5%, highlighting roles for chromatin organisation and GABAergic signalling. Key terms: schizophrenia, rare coding variants, STAG1, SLC6A1, whole-exome sequencing.
 Study Highlights:The authors generated a new exome-sequenced case-control sample (4,650 cases, 5,719 controls) and meta-analysed published data for a total of 28,898 cases, 103,041 controls and 3,444 trios. They report exome-wide significant enrichment of rare PTVs and damaging missense variants in STAG1 and PTVs in ZNF136, plus six genes at FDR<5% including SLC6A1 and KLC1. SLC6A1 and KLC1 associations are driven by damaging missense variants, and STAG1 and KLC1 overlap loci from schizophrenia GWAS. Several implicated genes show pleiotropic rare-variant enrichment in developmental disorders, autism and epilepsy.
 Conclusion:STAG1 and ZNF136 are implicated in schizophrenia at exome-wide significance and six additional genes at FDR<5%, supporting disrupted chromatin organisation and altered GABAergic/neural transport pathways in disease etiology.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Whole-exome sequencing analysis identifies risk genes for schizophrenia
 First author:Chick SL et al
 Journal:Nature Communications
 DOI:10.1038/s41467-025-62429-y
 Reference:Chick SL et al., Whole-exome sequencing analysis identifies risk genes for schizophrenia. Nature Communications (2025). DOI: 10.1038/s41467-025-62429-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/whole-exome-sequencing-identifies-new-schizophrenia-risk-genes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering study design and sample, gene discoveries (STAG1, ZNF136; six additional genes), mechanistic biology (cohesin/chromatin, GABA signaling), convergence with common-variant signals, NRXN1 CNV locus, pleiotropy, and limitations.- transcript topics: Study design and new exome sequencing sample; Gene discovery: STAG1 and ZNF136 (exome-wide); Six additional genes at FDR<5%: SLC6A1, PCLO, ZMYND11, BSCL2, KLC1, CGREF1; Damaging missense variants driving SLC6A1 and KLC1 (MPC > 2); Convergence of rare- and common-variant signals at STAG1 and KLC1; NRXN1 PTV enrichment and CNV locus overlap
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- STAG1 exome-wide significance for rare PTVs and damaging missense (MPC>2)- ZNF136 exome-wide significance for rare PTVs- Six additional genes at FDR<5%: SLC6A1, PCLO, ZMYND11, BSCL2, KLC1, CGREF1- SLC6A1 and KLC1 associations driven by damaging missense variants (MPC>2) alone- NRXN1...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[110: Rare coding variants implicate STAG1 and ZNF136 in schizophrenia]]>
                </itunes:title>
                                    <itunes:episode>110</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Chick SL et al et al., Nature Communications - Largest exome-sequencing meta-analysis to date (28,898 cases, 103,041 controls, 3,444 trios) identifies STAG1 and ZNF136 at exome-wide significance and six additional genes at FDR&lt;5%, highlighting roles for chromatin organisation and GABAergic signalling. Key terms: schizophrenia, rare coding variants, STAG1, SLC6A1, whole-exome sequencing.</p>
<p> Study Highlights:<br />The authors generated a new exome-sequenced case-control sample (4,650 cases, 5,719 controls) and meta-analysed published data for a total of 28,898 cases, 103,041 controls and 3,444 trios. They report exome-wide significant enrichment of rare PTVs and damaging missense variants in STAG1 and PTVs in ZNF136, plus six genes at FDR&lt;5% including SLC6A1 and KLC1. SLC6A1 and KLC1 associations are driven by damaging missense variants, and STAG1 and KLC1 overlap loci from schizophrenia GWAS. Several implicated genes show pleiotropic rare-variant enrichment in developmental disorders, autism and epilepsy.</p>
<p> Conclusion:<br />STAG1 and ZNF136 are implicated in schizophrenia at exome-wide significance and six additional genes at FDR&lt;5%, supporting disrupted chromatin organisation and altered GABAergic/neural transport pathways in disease etiology.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Whole-exome sequencing analysis identifies risk genes for schizophrenia</p>
<p> First author:<br />Chick SL et al</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-62429-y</p>
<p> Reference:<br />Chick SL et al., Whole-exome sequencing analysis identifies risk genes for schizophrenia. Nature Communications (2025). DOI: 10.1038/s41467-025-62429-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/whole-exome-sequencing-identifies-new-schizophrenia-risk-genes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering study design and sample, gene discoveries (STAG1, ZNF136; six additional genes), mechanistic biology (cohesin/chromatin, GABA signaling), convergence with common-variant signals, NRXN1 CNV locus, pleiotropy, and limitations.<br />- transcript topics: Study design and new exome sequencing sample; Gene discovery: STAG1 and ZNF136 (exome-wide); Six additional genes at FDR&lt;5%: SLC6A1, PCLO, ZMYND11, BSCL2, KLC1, CGREF1; Damaging missense variants driving SLC6A1 and KLC1 (MPC &gt; 2); Convergence of rare- and common-variant signals at STAG1 and KLC1; NRXN1 PTV enrichment and CNV locus overlap</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- STAG1 exome-wide significance for rare PTVs and damaging missense (MPC&gt;2)<br />- ZNF136 exome-wide significance for rare PTVs<br />- Six additional genes at FDR&lt;5%: SLC6A1, PCLO, ZMYND11, BSCL2, KLC1, CGREF1<br />- SLC6A1 and KLC1 associations driven by damaging missense variants (MPC&gt;2) alone<br />- NRXN1 PTV enrichment observed at a CNV locus<br />- Convergence of rare-variant and common-variant signals at STAG1 and KLC1</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2114213/c1e-m6jzvcqdx8nsovo5q-qdpdrjrgcz1p-qzqnjh.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2114213&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fwhole-exome-sequencing-identifies-new-schizophrenia-risk-genes&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=25c6bcf7c244d9cc5bdc0f64bf8432c4bd3bbfd71d1675852446b7afed29f3c0" length="23231853"
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                                <itunes:summary>
                    <![CDATA[Chick SL et al et al., Nature Communications - Largest exome-sequencing meta-analysis to date (28,898 cases, 103,041 controls, 3,444 trios) identifies STAG1 and ZNF136 at exome-wide significance and six additional genes at FDR<5%, highlighting roles for chromatin organisation and GABAergic signalling. Key terms: schizophrenia, rare coding variants, STAG1, SLC6A1, whole-exome sequencing.
 Study Highlights:The authors generated a new exome-sequenced case-control sample (4,650 cases, 5,719 controls) and meta-analysed published data for a total of 28,898 cases, 103,041 controls and 3,444 trios. They report exome-wide significant enrichment of rare PTVs and damaging missense variants in STAG1 and PTVs in ZNF136, plus six genes at FDR<5% including SLC6A1 and KLC1. SLC6A1 and KLC1 associations are driven by damaging missense variants, and STAG1 and KLC1 overlap loci from schizophrenia GWAS. Several implicated genes show pleiotropic rare-variant enrichment in developmental disorders, autism and epilepsy.
 Conclusion:STAG1 and ZNF136 are implicated in schizophrenia at exome-wide significance and six additional genes at FDR<5%, supporting disrupted chromatin organisation and altered GABAergic/neural transport pathways in disease etiology.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Whole-exome sequencing analysis identifies risk genes for schizophrenia
 First author:Chick SL et al
 Journal:Nature Communications
 DOI:10.1038/s41467-025-62429-y
 Reference:Chick SL et al., Whole-exome sequencing analysis identifies risk genes for schizophrenia. Nature Communications (2025). DOI: 10.1038/s41467-025-62429-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/whole-exome-sequencing-identifies-new-schizophrenia-risk-genes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering study design and sample, gene discoveries (STAG1, ZNF136; six additional genes), mechanistic biology (cohesin/chromatin, GABA signaling), convergence with common-variant signals, NRXN1 CNV locus, pleiotropy, and limitations.- transcript topics: Study design and new exome sequencing sample; Gene discovery: STAG1 and ZNF136 (exome-wide); Six additional genes at FDR<5%: SLC6A1, PCLO, ZMYND11, BSCL2, KLC1, CGREF1; Damaging missense variants driving SLC6A1 and KLC1 (MPC > 2); Convergence of rare- and common-variant signals at STAG1 and KLC1; NRXN1 PTV enrichment and CNV locus overlap
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- STAG1 exome-wide significance for rare PTVs and damaging missense (MPC>2)- ZNF136 exome-wide significance for rare PTVs- Six additional genes at FDR<5%: SLC6A1, PCLO, ZMYND11, BSCL2, KLC1, CGREF1- SLC6A1 and KLC1 associations driven by damaging missense variants (MPC>2) alone- NRXN1...]]>
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                                                                            <itunes:duration>00:20:31</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[109: Autocrine Interferon Poisoning: ADAR1–BRCA Synthetic Lethality]]>
                </title>
                <pubDate>Sun, 17 Aug 2025 09:19:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2113037</guid>
                                    <link>https://basebybase.castos.com/episodes/adar1-brca-synthetic-lethality</link>
                                <description>
                                            <![CDATA[<p>️ Episode 109: Autocrine Interferon Poisoning: ADAR1–BRCA Synthetic Lethality</p>
<p> In this episode of PaperCast Base by Base, we explore how loss of the RNA editor ADAR1 becomes lethal to BRCA1/2‑mutant cancer cells through a tumor‑cell‑autonomous interferon response, outlining a biomarker‑guided path to ADAR1‑targeted therapy.</p>
<p> Study Highlights:<br />A focused PRR siRNA screen and multiple orthogonal validations revealed a robust synthetic lethality between BRCA1/2 mutations and ADAR1 loss across isogenic human and mouse models, non‑isogenic TNBC lines, and zebrafish, with the cytoplasmic ADAR1p150 isoform and its deaminase activity required for survival. ADAR1 depletion elevated R‑loops, replication stress, γ‑H2AX foci, micronuclei, and apoptosis in BRCA‑deficient cells, while RNase H1 overexpression partially rescued DNA‑damage phenotypes and viability, implicating R‑loop burden as a trigger. The knockout activated cytosolic nucleic‑acid sensing pathways—RIG‑I, MDA5, LGP2, PKR, and cGAS—driving type I interferon and integrated‑stress responses; co‑silencing these sensors or inhibiting JAK/STAT signaling abrogated lethality, whereas exogenous interferons enhanced it. Patient data showed higher cytoplasmic ADAR1p150 expression and increased A‑to‑I RNA editing activity in BRCA‑mutant tumors and PDX models, indicating an ADAR1 dependency that is detectable in clinical specimens.<br /> <br /> Conclusion:<br />These results establish a clinically actionable blueprint in which BRCA1/2 status predicts vulnerability to ADAR1 inhibition by exploiting autocrine interferon poisoning rather than DNA breaks, suggesting combinations and sequencing distinct from PARP inhibitor strategies.</p>
<p> Reference:<br />Autocrine interferon poisoning mediates ADAR1‑dependent synthetic lethality in BRCA1/2‑mutant cancers. Nature Communications. 2025;16:6972. https://doi.org/10.1038/s41467-025-62309-5</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p> ADAR1; BRCA1/2; synthetic lethality; interferon; R-loops</p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - Synthetic lethality in cancer therapy</li><li>(00:02:02) - Why BRCA mutations continue to cause cancer</li><li>(00:03:38) - 8R1's role in breast cancer</li><li>(00:09:42) - Why ADR1 selectively kills BRCA1 and BRC</li><li>(00:15:09) - BRCA mutant cancer: new way to treat the disease</li><li>(00:17:36) - Base by base science podcast</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 109: Autocrine Interferon Poisoning: ADAR1–BRCA Synthetic Lethality
 In this episode of PaperCast Base by Base, we explore how loss of the RNA editor ADAR1 becomes lethal to BRCA1/2‑mutant cancer cells through a tumor‑cell‑autonomous interferon response, outlining a biomarker‑guided path to ADAR1‑targeted therapy.
 Study Highlights:A focused PRR siRNA screen and multiple orthogonal validations revealed a robust synthetic lethality between BRCA1/2 mutations and ADAR1 loss across isogenic human and mouse models, non‑isogenic TNBC lines, and zebrafish, with the cytoplasmic ADAR1p150 isoform and its deaminase activity required for survival. ADAR1 depletion elevated R‑loops, replication stress, γ‑H2AX foci, micronuclei, and apoptosis in BRCA‑deficient cells, while RNase H1 overexpression partially rescued DNA‑damage phenotypes and viability, implicating R‑loop burden as a trigger. The knockout activated cytosolic nucleic‑acid sensing pathways—RIG‑I, MDA5, LGP2, PKR, and cGAS—driving type I interferon and integrated‑stress responses; co‑silencing these sensors or inhibiting JAK/STAT signaling abrogated lethality, whereas exogenous interferons enhanced it. Patient data showed higher cytoplasmic ADAR1p150 expression and increased A‑to‑I RNA editing activity in BRCA‑mutant tumors and PDX models, indicating an ADAR1 dependency that is detectable in clinical specimens.  Conclusion:These results establish a clinically actionable blueprint in which BRCA1/2 status predicts vulnerability to ADAR1 inhibition by exploiting autocrine interferon poisoning rather than DNA breaks, suggesting combinations and sequencing distinct from PARP inhibitor strategies.
 Reference:Autocrine interferon poisoning mediates ADAR1‑dependent synthetic lethality in BRCA1/2‑mutant cancers. Nature Communications. 2025;16:6972. https://doi.org/10.1038/s41467-025-62309-5
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 ADAR1; BRCA1/2; synthetic lethality; interferon; R-loops]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[109: Autocrine Interferon Poisoning: ADAR1–BRCA Synthetic Lethality]]>
                </itunes:title>
                                    <itunes:episode>109</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 109: Autocrine Interferon Poisoning: ADAR1–BRCA Synthetic Lethality</p>
<p> In this episode of PaperCast Base by Base, we explore how loss of the RNA editor ADAR1 becomes lethal to BRCA1/2‑mutant cancer cells through a tumor‑cell‑autonomous interferon response, outlining a biomarker‑guided path to ADAR1‑targeted therapy.</p>
<p> Study Highlights:<br />A focused PRR siRNA screen and multiple orthogonal validations revealed a robust synthetic lethality between BRCA1/2 mutations and ADAR1 loss across isogenic human and mouse models, non‑isogenic TNBC lines, and zebrafish, with the cytoplasmic ADAR1p150 isoform and its deaminase activity required for survival. ADAR1 depletion elevated R‑loops, replication stress, γ‑H2AX foci, micronuclei, and apoptosis in BRCA‑deficient cells, while RNase H1 overexpression partially rescued DNA‑damage phenotypes and viability, implicating R‑loop burden as a trigger. The knockout activated cytosolic nucleic‑acid sensing pathways—RIG‑I, MDA5, LGP2, PKR, and cGAS—driving type I interferon and integrated‑stress responses; co‑silencing these sensors or inhibiting JAK/STAT signaling abrogated lethality, whereas exogenous interferons enhanced it. Patient data showed higher cytoplasmic ADAR1p150 expression and increased A‑to‑I RNA editing activity in BRCA‑mutant tumors and PDX models, indicating an ADAR1 dependency that is detectable in clinical specimens.<br /> <br /> Conclusion:<br />These results establish a clinically actionable blueprint in which BRCA1/2 status predicts vulnerability to ADAR1 inhibition by exploiting autocrine interferon poisoning rather than DNA breaks, suggesting combinations and sequencing distinct from PARP inhibitor strategies.</p>
<p> Reference:<br />Autocrine interferon poisoning mediates ADAR1‑dependent synthetic lethality in BRCA1/2‑mutant cancers. Nature Communications. 2025;16:6972. https://doi.org/10.1038/s41467-025-62309-5</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/</p>
<p> ADAR1; BRCA1/2; synthetic lethality; interferon; R-loops</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2113037/c1e-j63m1c583jqb0o05n-0vpx3x1rtqr4-m55xmk.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2113037&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fadar1-brca-synthetic-lethality&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=8ba993af9a35d0c0aca725a638831c09be3b66d2356d7d2cd1469ca5e295e6cc" length="26178498"
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                                <itunes:summary>
                    <![CDATA[️ Episode 109: Autocrine Interferon Poisoning: ADAR1–BRCA Synthetic Lethality
 In this episode of PaperCast Base by Base, we explore how loss of the RNA editor ADAR1 becomes lethal to BRCA1/2‑mutant cancer cells through a tumor‑cell‑autonomous interferon response, outlining a biomarker‑guided path to ADAR1‑targeted therapy.
 Study Highlights:A focused PRR siRNA screen and multiple orthogonal validations revealed a robust synthetic lethality between BRCA1/2 mutations and ADAR1 loss across isogenic human and mouse models, non‑isogenic TNBC lines, and zebrafish, with the cytoplasmic ADAR1p150 isoform and its deaminase activity required for survival. ADAR1 depletion elevated R‑loops, replication stress, γ‑H2AX foci, micronuclei, and apoptosis in BRCA‑deficient cells, while RNase H1 overexpression partially rescued DNA‑damage phenotypes and viability, implicating R‑loop burden as a trigger. The knockout activated cytosolic nucleic‑acid sensing pathways—RIG‑I, MDA5, LGP2, PKR, and cGAS—driving type I interferon and integrated‑stress responses; co‑silencing these sensors or inhibiting JAK/STAT signaling abrogated lethality, whereas exogenous interferons enhanced it. Patient data showed higher cytoplasmic ADAR1p150 expression and increased A‑to‑I RNA editing activity in BRCA‑mutant tumors and PDX models, indicating an ADAR1 dependency that is detectable in clinical specimens.  Conclusion:These results establish a clinically actionable blueprint in which BRCA1/2 status predicts vulnerability to ADAR1 inhibition by exploiting autocrine interferon poisoning rather than DNA breaks, suggesting combinations and sequencing distinct from PARP inhibitor strategies.
 Reference:Autocrine interferon poisoning mediates ADAR1‑dependent synthetic lethality in BRCA1/2‑mutant cancers. Nature Communications. 2025;16:6972. https://doi.org/10.1038/s41467-025-62309-5
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
 ADAR1; BRCA1/2; synthetic lethality; interferon; R-loops]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:18:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[108: Epigenome Editing Reverses HBG Silencing]]>
                </title>
                <pubDate>Sat, 16 Aug 2025 08:52:22 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2113034</guid>
                                    <link>https://basebybase.castos.com/episodes/removal-promoter-cpg-methylation-hbg</link>
                                <description>
                                            <![CDATA[<p>Bell HW et al et al., Nature Communications - This study shows that CpG methylation at proximal HBG promoters causally enforces perinatal silencing and that targeted epigenome editing can reverse that silencing in cell models and primary erythroblasts. UHRF1 and the methyl-CpG reader MBD2 are key mediators of repression. Key terms: HBG, CpG methylation, UHRF1, MBD2, epigenome editing.</p>
<p> Study Highlights:<br />A CRISPR/Cas9 screen identified UHRF1 as a mediator of HBG repression; loss of UHRF1 causes global CpG demethylation and HBG activation. Targeted dCas9–TET1 (TETv4) demethylation of the HBG proximal promoters activates HBG in HUDEP2 cells and primary CD34+ erythroblasts, while targeted dCas9–DNMT3A–DNMT3L re-methylation restores repression. Mutation of the MBD2 methyl-CpG binding domain (Y178F) impairs methyl-CpG binding and derepresses HBG, supporting a model in which promoter CpG methylation recruits MBD2-NuRD to silence HBG.</p>
<p> Conclusion:<br />Localized CpG methylation at HBG proximal promoters is sufficient to silence the genes; targeted promoter demethylation reactivates HBG and offers a potential, more specific epigenomic strategy to induce therapeutic fetal hemoglobin for β-hemoglobinopathies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Removal of promoter CpG methylation by epigenome editing reverses HBG silencing</p>
<p> First author:<br />Bell HW et al</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-62177-z</p>
<p> Reference:<br />Bell HW et al., Removal of promoter CpG methylation by epigenome editing reverses HBG silencing. Nature Communications (2025). DOI: 10.1038/s41467-025-62177-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/removal-promoter-cpg-methylation-hbg</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s coverage of promoter CpG methylation as a causal silencer of HBG, the role of UHRF1, targeted epigenome editing (TETv4 and D3AL), the MBD2-NuRD mechanism (including MBD2 Y178F), and validation in HUDEP2 and CD34+ erythroblasts, plus implications for HbF therapy.<br />- transcript topics: Promoter CpG methylation silences HBG; UHRF1 as maintenance methylation factor in HbF repression; Epigenome editing with TETv4 to demethylate HBG promoters; Durability of HBG activation in HUDEP2 cells; D3AL remethylation reverses activation; MBD2-NuRD complex and MBD2 Y178F mutation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- UHRF1 maintains CpG methylation to repress HBG; disruption leads to demethylation and HBG activation<br />- Local promoter demethylation via targeted epigenome editing (TETv4) activates HBG in HUDEP2 and primary CD34+ erythroblasts, with robust expression (up to ~86% HbF/HBG)<br />- Remethylation of HBG promoters by D3AL reverses activation, reducing HBG expression (to ~23%)<br />- Activation requires demethy...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Bell HW et al et al., Nature Communications - This study shows that CpG methylation at proximal HBG promoters causally enforces perinatal silencing and that targeted epigenome editing can reverse that silencing in cell models and primary erythroblasts. UHRF1 and the methyl-CpG reader MBD2 are key mediators of repression. Key terms: HBG, CpG methylation, UHRF1, MBD2, epigenome editing.
 Study Highlights:A CRISPR/Cas9 screen identified UHRF1 as a mediator of HBG repression; loss of UHRF1 causes global CpG demethylation and HBG activation. Targeted dCas9–TET1 (TETv4) demethylation of the HBG proximal promoters activates HBG in HUDEP2 cells and primary CD34+ erythroblasts, while targeted dCas9–DNMT3A–DNMT3L re-methylation restores repression. Mutation of the MBD2 methyl-CpG binding domain (Y178F) impairs methyl-CpG binding and derepresses HBG, supporting a model in which promoter CpG methylation recruits MBD2-NuRD to silence HBG.
 Conclusion:Localized CpG methylation at HBG proximal promoters is sufficient to silence the genes; targeted promoter demethylation reactivates HBG and offers a potential, more specific epigenomic strategy to induce therapeutic fetal hemoglobin for β-hemoglobinopathies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Removal of promoter CpG methylation by epigenome editing reverses HBG silencing
 First author:Bell HW et al
 Journal:Nature Communications
 DOI:10.1038/s41467-025-62177-z
 Reference:Bell HW et al., Removal of promoter CpG methylation by epigenome editing reverses HBG silencing. Nature Communications (2025). DOI: 10.1038/s41467-025-62177-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/removal-promoter-cpg-methylation-hbg
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s coverage of promoter CpG methylation as a causal silencer of HBG, the role of UHRF1, targeted epigenome editing (TETv4 and D3AL), the MBD2-NuRD mechanism (including MBD2 Y178F), and validation in HUDEP2 and CD34+ erythroblasts, plus implications for HbF therapy.- transcript topics: Promoter CpG methylation silences HBG; UHRF1 as maintenance methylation factor in HbF repression; Epigenome editing with TETv4 to demethylate HBG promoters; Durability of HBG activation in HUDEP2 cells; D3AL remethylation reverses activation; MBD2-NuRD complex and MBD2 Y178F mutation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- UHRF1 maintains CpG methylation to repress HBG; disruption leads to demethylation and HBG activation- Local promoter demethylation via targeted epigenome editing (TETv4) activates HBG in HUDEP2 and primary CD34+ erythroblasts, with robust expression (up to ~86% HbF/HBG)- Remethylation of HBG promoters by D3AL reverses activation, reducing HBG expression (to ~23%)- Activation requires demethy...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[108: Epigenome Editing Reverses HBG Silencing]]>
                </itunes:title>
                                    <itunes:episode>108</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Bell HW et al et al., Nature Communications - This study shows that CpG methylation at proximal HBG promoters causally enforces perinatal silencing and that targeted epigenome editing can reverse that silencing in cell models and primary erythroblasts. UHRF1 and the methyl-CpG reader MBD2 are key mediators of repression. Key terms: HBG, CpG methylation, UHRF1, MBD2, epigenome editing.</p>
<p> Study Highlights:<br />A CRISPR/Cas9 screen identified UHRF1 as a mediator of HBG repression; loss of UHRF1 causes global CpG demethylation and HBG activation. Targeted dCas9–TET1 (TETv4) demethylation of the HBG proximal promoters activates HBG in HUDEP2 cells and primary CD34+ erythroblasts, while targeted dCas9–DNMT3A–DNMT3L re-methylation restores repression. Mutation of the MBD2 methyl-CpG binding domain (Y178F) impairs methyl-CpG binding and derepresses HBG, supporting a model in which promoter CpG methylation recruits MBD2-NuRD to silence HBG.</p>
<p> Conclusion:<br />Localized CpG methylation at HBG proximal promoters is sufficient to silence the genes; targeted promoter demethylation reactivates HBG and offers a potential, more specific epigenomic strategy to induce therapeutic fetal hemoglobin for β-hemoglobinopathies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Removal of promoter CpG methylation by epigenome editing reverses HBG silencing</p>
<p> First author:<br />Bell HW et al</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-62177-z</p>
<p> Reference:<br />Bell HW et al., Removal of promoter CpG methylation by epigenome editing reverses HBG silencing. Nature Communications (2025). DOI: 10.1038/s41467-025-62177-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/removal-promoter-cpg-methylation-hbg</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s coverage of promoter CpG methylation as a causal silencer of HBG, the role of UHRF1, targeted epigenome editing (TETv4 and D3AL), the MBD2-NuRD mechanism (including MBD2 Y178F), and validation in HUDEP2 and CD34+ erythroblasts, plus implications for HbF therapy.<br />- transcript topics: Promoter CpG methylation silences HBG; UHRF1 as maintenance methylation factor in HbF repression; Epigenome editing with TETv4 to demethylate HBG promoters; Durability of HBG activation in HUDEP2 cells; D3AL remethylation reverses activation; MBD2-NuRD complex and MBD2 Y178F mutation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- UHRF1 maintains CpG methylation to repress HBG; disruption leads to demethylation and HBG activation<br />- Local promoter demethylation via targeted epigenome editing (TETv4) activates HBG in HUDEP2 and primary CD34+ erythroblasts, with robust expression (up to ~86% HbF/HBG)<br />- Remethylation of HBG promoters by D3AL reverses activation, reducing HBG expression (to ~23%)<br />- Activation requires demethylation across multiple CpG sites upstream of the TSS, not a single CpG<br />- MBD2 Y178F mutation impairs methyl-CpG binding and derepresses HBG, illustrating MBD2-NuRD’s key role<br />- MBD2-NuRD recruitment is linked to HBG silencing; BCL11A occupancy can persist even after demethylation</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Bell HW et al et al., Nature Communications - This study shows that CpG methylation at proximal HBG promoters causally enforces perinatal silencing and that targeted epigenome editing can reverse that silencing in cell models and primary erythroblasts. UHRF1 and the methyl-CpG reader MBD2 are key mediators of repression. Key terms: HBG, CpG methylation, UHRF1, MBD2, epigenome editing.
 Study Highlights:A CRISPR/Cas9 screen identified UHRF1 as a mediator of HBG repression; loss of UHRF1 causes global CpG demethylation and HBG activation. Targeted dCas9–TET1 (TETv4) demethylation of the HBG proximal promoters activates HBG in HUDEP2 cells and primary CD34+ erythroblasts, while targeted dCas9–DNMT3A–DNMT3L re-methylation restores repression. Mutation of the MBD2 methyl-CpG binding domain (Y178F) impairs methyl-CpG binding and derepresses HBG, supporting a model in which promoter CpG methylation recruits MBD2-NuRD to silence HBG.
 Conclusion:Localized CpG methylation at HBG proximal promoters is sufficient to silence the genes; targeted promoter demethylation reactivates HBG and offers a potential, more specific epigenomic strategy to induce therapeutic fetal hemoglobin for β-hemoglobinopathies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Removal of promoter CpG methylation by epigenome editing reverses HBG silencing
 First author:Bell HW et al
 Journal:Nature Communications
 DOI:10.1038/s41467-025-62177-z
 Reference:Bell HW et al., Removal of promoter CpG methylation by epigenome editing reverses HBG silencing. Nature Communications (2025). DOI: 10.1038/s41467-025-62177-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/removal-promoter-cpg-methylation-hbg
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s coverage of promoter CpG methylation as a causal silencer of HBG, the role of UHRF1, targeted epigenome editing (TETv4 and D3AL), the MBD2-NuRD mechanism (including MBD2 Y178F), and validation in HUDEP2 and CD34+ erythroblasts, plus implications for HbF therapy.- transcript topics: Promoter CpG methylation silences HBG; UHRF1 as maintenance methylation factor in HbF repression; Epigenome editing with TETv4 to demethylate HBG promoters; Durability of HBG activation in HUDEP2 cells; D3AL remethylation reverses activation; MBD2-NuRD complex and MBD2 Y178F mutation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- UHRF1 maintains CpG methylation to repress HBG; disruption leads to demethylation and HBG activation- Local promoter demethylation via targeted epigenome editing (TETv4) activates HBG in HUDEP2 and primary CD34+ erythroblasts, with robust expression (up to ~86% HbF/HBG)- Remethylation of HBG promoters by D3AL reverses activation, reducing HBG expression (to ~23%)- Activation requires demethy...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2113034/c1a-p6xp7-jpxxz2xki61q-oggogi.png"></itunes:image>
                                                                            <itunes:duration>00:20:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[107: Host genetics of endodontic infections: FinnGen GWAS]]>
                </title>
                <pubDate>Fri, 15 Aug 2025 07:50:04 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2112325</guid>
                                    <link>https://basebybase.castos.com/episodes/ep-107-gwas-pulpal-apical-diseases</link>
                                <description>
                                            <![CDATA[<p>Salminen A et al., Nature Communications - A large GWAS in 485,230 FinnGen participants (132,124 cases) identified genetic loci associated with pulpal and apical diseases. The study highlights strong signals near HORMAD2 on chromosome 22 and multiple signals in the HLA class II region, links top variants to immune and antigen-presentation pathways, and reports replication in independent cohorts. Key terms: GWAS, endodontic infections, HORMAD2, HLA, FinnGen.</p>
<p> Study Highlights:<br />A GWAS of 485,230 Finnish individuals with 132,124 cases of pulpal or apical disease identified 15 independent loci across 12 chromosomes, with strongest signals near HORMAD2 (chr22) and in the HLA class II region. Imputed HLA alleles, notably DRB1*04:01 and DQB1*03:01, were associated with endodontic infections, and many lead variants carried regulatory annotations tied to MHC class II, humoral immunity, and antigen processing. Most lead SNPs remained significant after adjusting for caries and several associations replicated in FinnGen subcohorts and the Estonian Biobank. Genetic correlations were observed with pain, caries, cardiometabolic traits and cardiovascular disease, and SNP heritability was modest (h2 ≈ 0.017–0.021).</p>
<p> Conclusion:<br />Genetic variation affecting immune regulation—particularly MHC class II/HLA alleles and regulatory variation near HORMAD2 and linked genes—contributes to susceptibility to pulpal and apical diseases and provides loci for mechanistic follow-up and risk evaluation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome-wide association study of pulpal and apical diseases</p>
<p> First author:<br />Salminen A</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61721-1</p>
<p> Reference:<br />Salminen A, Hyvärinen K, Ritari J, et al. Genome-wide association study of pulpal and apical diseases. Nature Communications (2025). DOI: 10.1038/s41467-025-61721-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep-107-gwas-pulpal-apical-diseases</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the main GWAS findings, mechanistic interpretation (MTMR3/autophagy, HLA region), HLA alleles, confounding adjustment (DMFS), genetic correlations, replication, and limitations described in the transcript.<br />- transcript topics: Scale and design of FinnGen GWAS; Genetic loci identified (HORMAD2, MTMR3, HLA region); Autophagy and MTMR3 as immune-modulating mechanism; Imputed HLA alleles DRB1*04:01 and DQB1*03:01; DMFS adjustment and independence from caries; Genetic correlations with pain, BMI, smoking, type 2 diabetes, cardiovascular disease</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 15 independent loci associated with endodontic infections<br />- Strongest signal on chromosome 22 near HORMAD2/MTMR3<br />- Second locus in the HLA class II region with DRB1*04:01 and DQB1...</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - How genetic science is reshaping how we treat dental problems</li><li>(00:02:18) - Dental genetics and risk of loss of teeth</li><li>(00:06:56) - Genetics of endodontics</li><li>(00:09:22) - Dental infections, genetic heritability</li><li>(00:13:52) - Genetic insights into endodontic infections</li><li>(00:18:30) - Biology Base by Base</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Salminen A et al., Nature Communications - A large GWAS in 485,230 FinnGen participants (132,124 cases) identified genetic loci associated with pulpal and apical diseases. The study highlights strong signals near HORMAD2 on chromosome 22 and multiple signals in the HLA class II region, links top variants to immune and antigen-presentation pathways, and reports replication in independent cohorts. Key terms: GWAS, endodontic infections, HORMAD2, HLA, FinnGen.
 Study Highlights:A GWAS of 485,230 Finnish individuals with 132,124 cases of pulpal or apical disease identified 15 independent loci across 12 chromosomes, with strongest signals near HORMAD2 (chr22) and in the HLA class II region. Imputed HLA alleles, notably DRB1*04:01 and DQB1*03:01, were associated with endodontic infections, and many lead variants carried regulatory annotations tied to MHC class II, humoral immunity, and antigen processing. Most lead SNPs remained significant after adjusting for caries and several associations replicated in FinnGen subcohorts and the Estonian Biobank. Genetic correlations were observed with pain, caries, cardiometabolic traits and cardiovascular disease, and SNP heritability was modest (h2 ≈ 0.017–0.021).
 Conclusion:Genetic variation affecting immune regulation—particularly MHC class II/HLA alleles and regulatory variation near HORMAD2 and linked genes—contributes to susceptibility to pulpal and apical diseases and provides loci for mechanistic follow-up and risk evaluation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome-wide association study of pulpal and apical diseases
 First author:Salminen A
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61721-1
 Reference:Salminen A, Hyvärinen K, Ritari J, et al. Genome-wide association study of pulpal and apical diseases. Nature Communications (2025). DOI: 10.1038/s41467-025-61721-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep-107-gwas-pulpal-apical-diseases
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the main GWAS findings, mechanistic interpretation (MTMR3/autophagy, HLA region), HLA alleles, confounding adjustment (DMFS), genetic correlations, replication, and limitations described in the transcript.- transcript topics: Scale and design of FinnGen GWAS; Genetic loci identified (HORMAD2, MTMR3, HLA region); Autophagy and MTMR3 as immune-modulating mechanism; Imputed HLA alleles DRB1*04:01 and DQB1*03:01; DMFS adjustment and independence from caries; Genetic correlations with pain, BMI, smoking, type 2 diabetes, cardiovascular disease
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 15 independent loci associated with endodontic infections- Strongest signal on chromosome 22 near HORMAD2/MTMR3- Second locus in the HLA class II region with DRB1*04:01 and DQB1...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[107: Host genetics of endodontic infections: FinnGen GWAS]]>
                </itunes:title>
                                    <itunes:episode>107</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Salminen A et al., Nature Communications - A large GWAS in 485,230 FinnGen participants (132,124 cases) identified genetic loci associated with pulpal and apical diseases. The study highlights strong signals near HORMAD2 on chromosome 22 and multiple signals in the HLA class II region, links top variants to immune and antigen-presentation pathways, and reports replication in independent cohorts. Key terms: GWAS, endodontic infections, HORMAD2, HLA, FinnGen.</p>
<p> Study Highlights:<br />A GWAS of 485,230 Finnish individuals with 132,124 cases of pulpal or apical disease identified 15 independent loci across 12 chromosomes, with strongest signals near HORMAD2 (chr22) and in the HLA class II region. Imputed HLA alleles, notably DRB1*04:01 and DQB1*03:01, were associated with endodontic infections, and many lead variants carried regulatory annotations tied to MHC class II, humoral immunity, and antigen processing. Most lead SNPs remained significant after adjusting for caries and several associations replicated in FinnGen subcohorts and the Estonian Biobank. Genetic correlations were observed with pain, caries, cardiometabolic traits and cardiovascular disease, and SNP heritability was modest (h2 ≈ 0.017–0.021).</p>
<p> Conclusion:<br />Genetic variation affecting immune regulation—particularly MHC class II/HLA alleles and regulatory variation near HORMAD2 and linked genes—contributes to susceptibility to pulpal and apical diseases and provides loci for mechanistic follow-up and risk evaluation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome-wide association study of pulpal and apical diseases</p>
<p> First author:<br />Salminen A</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61721-1</p>
<p> Reference:<br />Salminen A, Hyvärinen K, Ritari J, et al. Genome-wide association study of pulpal and apical diseases. Nature Communications (2025). DOI: 10.1038/s41467-025-61721-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep-107-gwas-pulpal-apical-diseases</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the main GWAS findings, mechanistic interpretation (MTMR3/autophagy, HLA region), HLA alleles, confounding adjustment (DMFS), genetic correlations, replication, and limitations described in the transcript.<br />- transcript topics: Scale and design of FinnGen GWAS; Genetic loci identified (HORMAD2, MTMR3, HLA region); Autophagy and MTMR3 as immune-modulating mechanism; Imputed HLA alleles DRB1*04:01 and DQB1*03:01; DMFS adjustment and independence from caries; Genetic correlations with pain, BMI, smoking, type 2 diabetes, cardiovascular disease</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 15 independent loci associated with endodontic infections<br />- Strongest signal on chromosome 22 near HORMAD2/MTMR3<br />- Second locus in the HLA class II region with DRB1*04:01 and DQB1*03:01 associations<br />- MTMR3/autophagy link and its role in immune response<br />- Heritability estimate h2 ≈ 0.017–0.021<br />- DMFS adjustment shows many associations independent of caries</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Salminen A et al., Nature Communications - A large GWAS in 485,230 FinnGen participants (132,124 cases) identified genetic loci associated with pulpal and apical diseases. The study highlights strong signals near HORMAD2 on chromosome 22 and multiple signals in the HLA class II region, links top variants to immune and antigen-presentation pathways, and reports replication in independent cohorts. Key terms: GWAS, endodontic infections, HORMAD2, HLA, FinnGen.
 Study Highlights:A GWAS of 485,230 Finnish individuals with 132,124 cases of pulpal or apical disease identified 15 independent loci across 12 chromosomes, with strongest signals near HORMAD2 (chr22) and in the HLA class II region. Imputed HLA alleles, notably DRB1*04:01 and DQB1*03:01, were associated with endodontic infections, and many lead variants carried regulatory annotations tied to MHC class II, humoral immunity, and antigen processing. Most lead SNPs remained significant after adjusting for caries and several associations replicated in FinnGen subcohorts and the Estonian Biobank. Genetic correlations were observed with pain, caries, cardiometabolic traits and cardiovascular disease, and SNP heritability was modest (h2 ≈ 0.017–0.021).
 Conclusion:Genetic variation affecting immune regulation—particularly MHC class II/HLA alleles and regulatory variation near HORMAD2 and linked genes—contributes to susceptibility to pulpal and apical diseases and provides loci for mechanistic follow-up and risk evaluation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome-wide association study of pulpal and apical diseases
 First author:Salminen A
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61721-1
 Reference:Salminen A, Hyvärinen K, Ritari J, et al. Genome-wide association study of pulpal and apical diseases. Nature Communications (2025). DOI: 10.1038/s41467-025-61721-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep-107-gwas-pulpal-apical-diseases
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the main GWAS findings, mechanistic interpretation (MTMR3/autophagy, HLA region), HLA alleles, confounding adjustment (DMFS), genetic correlations, replication, and limitations described in the transcript.- transcript topics: Scale and design of FinnGen GWAS; Genetic loci identified (HORMAD2, MTMR3, HLA region); Autophagy and MTMR3 as immune-modulating mechanism; Imputed HLA alleles DRB1*04:01 and DQB1*03:01; DMFS adjustment and independence from caries; Genetic correlations with pain, BMI, smoking, type 2 diabetes, cardiovascular disease
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 15 independent loci associated with endodontic infections- Strongest signal on chromosome 22 near HORMAD2/MTMR3- Second locus in the HLA class II region with DRB1*04:01 and DQB1...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2112325/c1a-p6xp7-rkggqdzjtz4j-p3lq5q.png"></itunes:image>
                                                                            <itunes:duration>00:19:07</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[106: Decoding Cortical Transcriptomes: GABAA Subunit Classes and Pharmacotranscriptomics]]>
                </title>
                <pubDate>Thu, 14 Aug 2025 09:06:11 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2111894</guid>
                                    <link>https://basebybase.castos.com/episodes/106-transcriptomic-decoding-gabaa</link>
                                <description>
                                            <![CDATA[<p>Ecker C et al., Nature Communications - This episode reviews a study that develops a surface-based, vertex-level framework for genome-wide imaging transcriptomics using spatial interpolation of the Allen Human Brain Atlas, validates the approach against serotonergic PET maps, and applies it to dissect GABAA-receptor subunit expression and link transcriptomic signatures to cortical thickness patterns and anxiety/depression in N=279 individuals. Key terms: imaging transcriptomics, GABA_A receptor, cortical thickness, pharmacotranscriptomics, spatial transcriptomics.</p>
<p> Study Highlights:<br />The authors generated spatially-dense vertex-level expression maps for 15,633 genes using AHBA samples and Gaussian Process interpolation and reduced them to nine co-expression gradients capturing ~41% variance. They validated a gradient-based, spatial-autocorrelation-preserving decoding approach against high-resolution 5-HT PET atlases, showing good sensitivity and specificity compared with LME and GLS methods. Applying vertex-level decoding to a benzodiazepine GABAA PET atlas, they identified two distinct GABAA subunit co-expression clusters with limbic versus widespread cortical expression. Stratifying N=279 participants by alignment of cortical thickness deviations to these clusters revealed an adult subgroup whose limbic-aligned pattern was associated with higher self-reported anxiety and depression.</p>
<p> Conclusion:<br />Surface-based transcriptomic decoding at vertex resolution can map molecular target expression to imaging phenotypes, revealing two GABAA subunit classes with distinct cortical signatures and behavioral associations that may inform pharmacotranscriptomic stratification and targeted interventions.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics</p>
<p> First author:<br />Ecker C</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61927-3</p>
<p> Reference:<br />Ecker C., Pretzsch C. M., Leyhausen J., et al. Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics. Nature Communications (2025) 16:6727. doi:10.1038/s41467-025-61927-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/106-transcriptomic-decoding-gabaa</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of core methods (vertex-level decoding with spatial interpolation), validation (5-HT PET concordance), GABA A subunit clustering, in vivo imaging phenotypes and behavioral associations, and pharmacotranscriptomics implications, plus acknowledged study limitations.<br />- transcript topics: Imaging transcriptomics and vertex-level spatial interpolation; Validation against serotonergic PET maps (5-HT system); GABA A receptor subunit decoding and two-cluster structure; In vivo imaging phenotypes (cortical thickness) and subgroup associations with anxiety/depression; Pharmacotranscriptomics and personalized treatment implications; Caveats and need for longitudinal data</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata s...</p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - Base by Bass: The Personalized Medicine</li><li>(00:01:19) - Chemical precision in the brain</li><li>(00:07:52) - The Genetics of anxiety</li><li>(00:13:50) - This new framework reveals a molecular basis of anxiety and depression</li><li>(00:17:51) - Anxiety and its genetic map</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ecker C et al., Nature Communications - This episode reviews a study that develops a surface-based, vertex-level framework for genome-wide imaging transcriptomics using spatial interpolation of the Allen Human Brain Atlas, validates the approach against serotonergic PET maps, and applies it to dissect GABAA-receptor subunit expression and link transcriptomic signatures to cortical thickness patterns and anxiety/depression in N=279 individuals. Key terms: imaging transcriptomics, GABA_A receptor, cortical thickness, pharmacotranscriptomics, spatial transcriptomics.
 Study Highlights:The authors generated spatially-dense vertex-level expression maps for 15,633 genes using AHBA samples and Gaussian Process interpolation and reduced them to nine co-expression gradients capturing ~41% variance. They validated a gradient-based, spatial-autocorrelation-preserving decoding approach against high-resolution 5-HT PET atlases, showing good sensitivity and specificity compared with LME and GLS methods. Applying vertex-level decoding to a benzodiazepine GABAA PET atlas, they identified two distinct GABAA subunit co-expression clusters with limbic versus widespread cortical expression. Stratifying N=279 participants by alignment of cortical thickness deviations to these clusters revealed an adult subgroup whose limbic-aligned pattern was associated with higher self-reported anxiety and depression.
 Conclusion:Surface-based transcriptomic decoding at vertex resolution can map molecular target expression to imaging phenotypes, revealing two GABAA subunit classes with distinct cortical signatures and behavioral associations that may inform pharmacotranscriptomic stratification and targeted interventions.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics
 First author:Ecker C
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61927-3
 Reference:Ecker C., Pretzsch C. M., Leyhausen J., et al. Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics. Nature Communications (2025) 16:6727. doi:10.1038/s41467-025-61927-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/106-transcriptomic-decoding-gabaa
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of core methods (vertex-level decoding with spatial interpolation), validation (5-HT PET concordance), GABA A subunit clustering, in vivo imaging phenotypes and behavioral associations, and pharmacotranscriptomics implications, plus acknowledged study limitations.- transcript topics: Imaging transcriptomics and vertex-level spatial interpolation; Validation against serotonergic PET maps (5-HT system); GABA A receptor subunit decoding and two-cluster structure; In vivo imaging phenotypes (cortical thickness) and subgroup associations with anxiety/depression; Pharmacotranscriptomics and personalized treatment implications; Caveats and need for longitudinal data
QC Summary:- factual score: 10/10- metadata s...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[106: Decoding Cortical Transcriptomes: GABAA Subunit Classes and Pharmacotranscriptomics]]>
                </itunes:title>
                                    <itunes:episode>106</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ecker C et al., Nature Communications - This episode reviews a study that develops a surface-based, vertex-level framework for genome-wide imaging transcriptomics using spatial interpolation of the Allen Human Brain Atlas, validates the approach against serotonergic PET maps, and applies it to dissect GABAA-receptor subunit expression and link transcriptomic signatures to cortical thickness patterns and anxiety/depression in N=279 individuals. Key terms: imaging transcriptomics, GABA_A receptor, cortical thickness, pharmacotranscriptomics, spatial transcriptomics.</p>
<p> Study Highlights:<br />The authors generated spatially-dense vertex-level expression maps for 15,633 genes using AHBA samples and Gaussian Process interpolation and reduced them to nine co-expression gradients capturing ~41% variance. They validated a gradient-based, spatial-autocorrelation-preserving decoding approach against high-resolution 5-HT PET atlases, showing good sensitivity and specificity compared with LME and GLS methods. Applying vertex-level decoding to a benzodiazepine GABAA PET atlas, they identified two distinct GABAA subunit co-expression clusters with limbic versus widespread cortical expression. Stratifying N=279 participants by alignment of cortical thickness deviations to these clusters revealed an adult subgroup whose limbic-aligned pattern was associated with higher self-reported anxiety and depression.</p>
<p> Conclusion:<br />Surface-based transcriptomic decoding at vertex resolution can map molecular target expression to imaging phenotypes, revealing two GABAA subunit classes with distinct cortical signatures and behavioral associations that may inform pharmacotranscriptomic stratification and targeted interventions.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics</p>
<p> First author:<br />Ecker C</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61927-3</p>
<p> Reference:<br />Ecker C., Pretzsch C. M., Leyhausen J., et al. Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics. Nature Communications (2025) 16:6727. doi:10.1038/s41467-025-61927-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/106-transcriptomic-decoding-gabaa</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of core methods (vertex-level decoding with spatial interpolation), validation (5-HT PET concordance), GABA A subunit clustering, in vivo imaging phenotypes and behavioral associations, and pharmacotranscriptomics implications, plus acknowledged study limitations.<br />- transcript topics: Imaging transcriptomics and vertex-level spatial interpolation; Validation against serotonergic PET maps (5-HT system); GABA A receptor subunit decoding and two-cluster structure; In vivo imaging phenotypes (cortical thickness) and subgroup associations with anxiety/depression; Pharmacotranscriptomics and personalized treatment implications; Caveats and need for longitudinal data</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Gradient-based decoding uses spatial autocorrelation-preserving null models and gradient subsampling for robust gene-imaging associations<br />- Validation against 5-HT PET atlas shows strongest associations for HTR1A, HTR2A, and HTR4<br />- GABA A receptor subunits split into two clusters: Cluster 1 limbic-leaning (α2, α3, α5, β1, β3, ε, γ1) and Cluster 2 cortical/widespread (α1, α4, β2, γ2, γ3, δ)<br />- In LEAP cohort (N=279, ages 7–31), adults with limbic-aligned CT deviations show higher anxiety and depression<br />- Cross-sectional design acknowledged; longitudinal data are needed for causal inferences</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2111894/c1e-8jq2zio84pwf4v4qd-jpxx7066u6km-aoaz2e.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2111894&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2F106-transcriptomic-decoding-gabaa&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=b0ee4bca9404e65cd9b0e24cb0bbe1ef76c35a693d99da5179e11b5990cc9179" length="34883757"
                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Ecker C et al., Nature Communications - This episode reviews a study that develops a surface-based, vertex-level framework for genome-wide imaging transcriptomics using spatial interpolation of the Allen Human Brain Atlas, validates the approach against serotonergic PET maps, and applies it to dissect GABAA-receptor subunit expression and link transcriptomic signatures to cortical thickness patterns and anxiety/depression in N=279 individuals. Key terms: imaging transcriptomics, GABA_A receptor, cortical thickness, pharmacotranscriptomics, spatial transcriptomics.
 Study Highlights:The authors generated spatially-dense vertex-level expression maps for 15,633 genes using AHBA samples and Gaussian Process interpolation and reduced them to nine co-expression gradients capturing ~41% variance. They validated a gradient-based, spatial-autocorrelation-preserving decoding approach against high-resolution 5-HT PET atlases, showing good sensitivity and specificity compared with LME and GLS methods. Applying vertex-level decoding to a benzodiazepine GABAA PET atlas, they identified two distinct GABAA subunit co-expression clusters with limbic versus widespread cortical expression. Stratifying N=279 participants by alignment of cortical thickness deviations to these clusters revealed an adult subgroup whose limbic-aligned pattern was associated with higher self-reported anxiety and depression.
 Conclusion:Surface-based transcriptomic decoding at vertex resolution can map molecular target expression to imaging phenotypes, revealing two GABAA subunit classes with distinct cortical signatures and behavioral associations that may inform pharmacotranscriptomic stratification and targeted interventions.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics
 First author:Ecker C
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61927-3
 Reference:Ecker C., Pretzsch C. M., Leyhausen J., et al. Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics. Nature Communications (2025) 16:6727. doi:10.1038/s41467-025-61927-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/106-transcriptomic-decoding-gabaa
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of core methods (vertex-level decoding with spatial interpolation), validation (5-HT PET concordance), GABA A subunit clustering, in vivo imaging phenotypes and behavioral associations, and pharmacotranscriptomics implications, plus acknowledged study limitations.- transcript topics: Imaging transcriptomics and vertex-level spatial interpolation; Validation against serotonergic PET maps (5-HT system); GABA A receptor subunit decoding and two-cluster structure; In vivo imaging phenotypes (cortical thickness) and subgroup associations with anxiety/depression; Pharmacotranscriptomics and personalized treatment implications; Caveats and need for longitudinal data
QC Summary:- factual score: 10/10- metadata s...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2111894/c1a-p6xp7-mk997866tkg7-3jsc7o.png"></itunes:image>
                                                                            <itunes:duration>00:19:25</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2111894/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[105: When Tumors Go Neutral: Genome-Level Selection and Resistance]]>
                </title>
                <pubDate>Wed, 13 Aug 2025 08:13:25 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2111337</guid>
                                    <link>https://basebybase.castos.com/episodes/genome-level-selection-resistance-therapy</link>
                                <description>
                                            <![CDATA[<p>Persi E et al., Nature Communications - This episode unpacks a multi-cohort study showing that tumors evolving toward neutral genome-level selection (dN/dS ≈ 1) during or after therapy are associated with treatment resistance and poorer outcomes. Key terms: tumor evolution, dN/dS, neutral evolution, treatment resistance, whole-exome sequencing.</p>
<p> Study Highlights:<br />The authors analyzed paired whole-exome data from multiple untreated and treated cancer cohorts and an original 624-patient multiple myeloma cohort to estimate genome-level dN/dS and track evolution. In untreated primary progression dN/dS is largely stable per patient, with some cancer-specific shifts during metastasis. In diverse treated, resistant tumors there is a near-universal shift toward neutral evolution (dN/dS ≈ 1), and this shift correlates with worse clinical outcomes. Phylogenetic analysis shows positive selection on trunk/clonal mutations and purifying selection on branch/subclonal mutations, producing an overall neutral regime in late stages.</p>
<p> Conclusion:<br />Serial measurement of genome-level dN/dS can flag emerging treatment resistance: a shift toward neutrality indicates higher tumor fitness and poorer prognosis and may prompt therapy reassessment.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome-level selection in tumors as a universal marker of resistance to therapy</p>
<p> First author:<br />Persi E</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61709-x</p>
<p> Reference:<br />Persi E., Sudalagunta P.R., Wolf Y.I., Canevarolo R.R., Damaghi M., Shain K.H., Silva A.S., Koonin E.V., Genome-level selection in tumors as a universal marker of resistance to therapy. Nature Communications (2025). DOI: 10.1038/s41467-025-61709-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genome-level-selection-resistance-therapy</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's core scientific claims about genome-wide dN/dS, treatment effects, neutral evolution, trunk vs. branch selection, datasets and methods, and clinical implications, plus acknowledged limitations and potential mechanisms (epigenetics, hypermutators).<br />- transcript topics: Genome-wide dN/dS metric; Untreated cancer evolution; Treated cancer evolution and neutrality; Trunk vs branch selection in tumor phylogenies; Cohorts and methods (WES, MM cohort); Clinical implications and prognosis</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- dN/dS is used as a genome-wide measure of selection strength in tumor genomes.<br />- In untreated cancers, dN/dS within a patient remains stable during primary progression, with cancer-specific signatures emerging in metastasis.<br />- In diverse treated cancers, there is a universal shift toward neutral evolution (dN/dS approximately 1).<br />- Post-treatment neutrality is as...</p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - How do we learn how tumors evolve?</li><li>(00:04:09) - Tumor fitness and the science</li><li>(00:07:03) - The Nature of breast cancer</li><li>(00:08:36) - DNDs in breast cancer</li><li>(00:09:34) - Neutral evolution in leukemias</li><li>(00:11:14) - Multiple myeloma evolution: neutral or</li><li>(00:13:58) - A new biomarker for cancer treatment failure</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Persi E et al., Nature Communications - This episode unpacks a multi-cohort study showing that tumors evolving toward neutral genome-level selection (dN/dS ≈ 1) during or after therapy are associated with treatment resistance and poorer outcomes. Key terms: tumor evolution, dN/dS, neutral evolution, treatment resistance, whole-exome sequencing.
 Study Highlights:The authors analyzed paired whole-exome data from multiple untreated and treated cancer cohorts and an original 624-patient multiple myeloma cohort to estimate genome-level dN/dS and track evolution. In untreated primary progression dN/dS is largely stable per patient, with some cancer-specific shifts during metastasis. In diverse treated, resistant tumors there is a near-universal shift toward neutral evolution (dN/dS ≈ 1), and this shift correlates with worse clinical outcomes. Phylogenetic analysis shows positive selection on trunk/clonal mutations and purifying selection on branch/subclonal mutations, producing an overall neutral regime in late stages.
 Conclusion:Serial measurement of genome-level dN/dS can flag emerging treatment resistance: a shift toward neutrality indicates higher tumor fitness and poorer prognosis and may prompt therapy reassessment.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome-level selection in tumors as a universal marker of resistance to therapy
 First author:Persi E
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61709-x
 Reference:Persi E., Sudalagunta P.R., Wolf Y.I., Canevarolo R.R., Damaghi M., Shain K.H., Silva A.S., Koonin E.V., Genome-level selection in tumors as a universal marker of resistance to therapy. Nature Communications (2025). DOI: 10.1038/s41467-025-61709-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genome-level-selection-resistance-therapy
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's core scientific claims about genome-wide dN/dS, treatment effects, neutral evolution, trunk vs. branch selection, datasets and methods, and clinical implications, plus acknowledged limitations and potential mechanisms (epigenetics, hypermutators).- transcript topics: Genome-wide dN/dS metric; Untreated cancer evolution; Treated cancer evolution and neutrality; Trunk vs branch selection in tumor phylogenies; Cohorts and methods (WES, MM cohort); Clinical implications and prognosis
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- dN/dS is used as a genome-wide measure of selection strength in tumor genomes.- In untreated cancers, dN/dS within a patient remains stable during primary progression, with cancer-specific signatures emerging in metastasis.- In diverse treated cancers, there is a universal shift toward neutral evolution (dN/dS approximately 1).- Post-treatment neutrality is as...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[105: When Tumors Go Neutral: Genome-Level Selection and Resistance]]>
                </itunes:title>
                                    <itunes:episode>105</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Persi E et al., Nature Communications - This episode unpacks a multi-cohort study showing that tumors evolving toward neutral genome-level selection (dN/dS ≈ 1) during or after therapy are associated with treatment resistance and poorer outcomes. Key terms: tumor evolution, dN/dS, neutral evolution, treatment resistance, whole-exome sequencing.</p>
<p> Study Highlights:<br />The authors analyzed paired whole-exome data from multiple untreated and treated cancer cohorts and an original 624-patient multiple myeloma cohort to estimate genome-level dN/dS and track evolution. In untreated primary progression dN/dS is largely stable per patient, with some cancer-specific shifts during metastasis. In diverse treated, resistant tumors there is a near-universal shift toward neutral evolution (dN/dS ≈ 1), and this shift correlates with worse clinical outcomes. Phylogenetic analysis shows positive selection on trunk/clonal mutations and purifying selection on branch/subclonal mutations, producing an overall neutral regime in late stages.</p>
<p> Conclusion:<br />Serial measurement of genome-level dN/dS can flag emerging treatment resistance: a shift toward neutrality indicates higher tumor fitness and poorer prognosis and may prompt therapy reassessment.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome-level selection in tumors as a universal marker of resistance to therapy</p>
<p> First author:<br />Persi E</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61709-x</p>
<p> Reference:<br />Persi E., Sudalagunta P.R., Wolf Y.I., Canevarolo R.R., Damaghi M., Shain K.H., Silva A.S., Koonin E.V., Genome-level selection in tumors as a universal marker of resistance to therapy. Nature Communications (2025). DOI: 10.1038/s41467-025-61709-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genome-level-selection-resistance-therapy</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's core scientific claims about genome-wide dN/dS, treatment effects, neutral evolution, trunk vs. branch selection, datasets and methods, and clinical implications, plus acknowledged limitations and potential mechanisms (epigenetics, hypermutators).<br />- transcript topics: Genome-wide dN/dS metric; Untreated cancer evolution; Treated cancer evolution and neutrality; Trunk vs branch selection in tumor phylogenies; Cohorts and methods (WES, MM cohort); Clinical implications and prognosis</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- dN/dS is used as a genome-wide measure of selection strength in tumor genomes.<br />- In untreated cancers, dN/dS within a patient remains stable during primary progression, with cancer-specific signatures emerging in metastasis.<br />- In diverse treated cancers, there is a universal shift toward neutral evolution (dN/dS approximately 1).<br />- Post-treatment neutrality is associated with worse clinical outcomes (e.g., relapse risk and survival).<br />- Trunk (clonal) mutations show positive selection (dN/dS &gt; 1) while branch (subclonal) mutations show purifying selection (dN/dS &lt; 1); overall late-stage evolution tends toward neut<br />- The study analyzes multiple cohorts (ALL, CLL, ER-positive breast cancer, urothelial bladder cancer, glioblastoma) and validates with an original multiple myeloma cohort (624 patie</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2111337/c1e-m6jzvcqd285uovo5q-474438pmsg2z-okocf0.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2111337&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fgenome-level-selection-resistance-therapy&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=626e386c18e7b89afa66cba7b1a7f6bd600262aae6d10dbda0de1041399e3708" length="33602733"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Persi E et al., Nature Communications - This episode unpacks a multi-cohort study showing that tumors evolving toward neutral genome-level selection (dN/dS ≈ 1) during or after therapy are associated with treatment resistance and poorer outcomes. Key terms: tumor evolution, dN/dS, neutral evolution, treatment resistance, whole-exome sequencing.
 Study Highlights:The authors analyzed paired whole-exome data from multiple untreated and treated cancer cohorts and an original 624-patient multiple myeloma cohort to estimate genome-level dN/dS and track evolution. In untreated primary progression dN/dS is largely stable per patient, with some cancer-specific shifts during metastasis. In diverse treated, resistant tumors there is a near-universal shift toward neutral evolution (dN/dS ≈ 1), and this shift correlates with worse clinical outcomes. Phylogenetic analysis shows positive selection on trunk/clonal mutations and purifying selection on branch/subclonal mutations, producing an overall neutral regime in late stages.
 Conclusion:Serial measurement of genome-level dN/dS can flag emerging treatment resistance: a shift toward neutrality indicates higher tumor fitness and poorer prognosis and may prompt therapy reassessment.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome-level selection in tumors as a universal marker of resistance to therapy
 First author:Persi E
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61709-x
 Reference:Persi E., Sudalagunta P.R., Wolf Y.I., Canevarolo R.R., Damaghi M., Shain K.H., Silva A.S., Koonin E.V., Genome-level selection in tumors as a universal marker of resistance to therapy. Nature Communications (2025). DOI: 10.1038/s41467-025-61709-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genome-level-selection-resistance-therapy
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's core scientific claims about genome-wide dN/dS, treatment effects, neutral evolution, trunk vs. branch selection, datasets and methods, and clinical implications, plus acknowledged limitations and potential mechanisms (epigenetics, hypermutators).- transcript topics: Genome-wide dN/dS metric; Untreated cancer evolution; Treated cancer evolution and neutrality; Trunk vs branch selection in tumor phylogenies; Cohorts and methods (WES, MM cohort); Clinical implications and prognosis
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- dN/dS is used as a genome-wide measure of selection strength in tumor genomes.- In untreated cancers, dN/dS within a patient remains stable during primary progression, with cancer-specific signatures emerging in metastasis.- In diverse treated cancers, there is a universal shift toward neutral evolution (dN/dS approximately 1).- Post-treatment neutrality is as...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2111337/c1a-p6xp7-v6vv9854fxm3-omoh3k.png"></itunes:image>
                                                                            <itunes:duration>00:18:28</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                                    <podcast:chapters url="https://media-assets.castos.com/chapters/2111337/chapter-data.json"
                        type="application/json" />
                            </item>
                    <item>
                <title>
                    <![CDATA[104: Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation]]>
                </title>
                <pubDate>Tue, 12 Aug 2025 09:38:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2110437</guid>
                                    <link>https://basebybase.castos.com/episodes/cross-population-gwas-proteomics-atrial-fibrillation</link>
                                <description>
                                            <![CDATA[<p>Episode 104: Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation</p>
<p> In this episode of PaperCast Base by Base, we explore a large cross-ancestry study that integrates genome-wide association results with plasma proteomics to map genetic architecture, nominate causal pathways and proteins, and boost risk prediction for atrial fibrillation (AF).</p>
<p> Study Highlights:<br />The authors meta-analyzed AF across ancestries—more than two million participants overall—and reported 525 genome-wide significant loci among 168,007 AF cases, with PITX2 and ZFHX3 emerging as shared signals across populations. Gene prioritization and pathway enrichment reinforced core roles in muscle contraction and cardiogenesis and highlighted additional mechanisms such as TGF-β signaling and electrical coupling. Mendelian randomization linked multiple modifiable traits—adiposity measures, LDL cholesterol, type 2 diabetes, blood pressure, smoking, alcohol use, sedentary behavior, and insomnia—to AF risk. Protein-wide Mendelian randomization nominated 28 circulating proteins with potential causal effects on AF, several of which already have drugs in other indications. Finally, combining a polygenic risk score with a protein score substantially improved incident AF prediction, achieving an AUC of 0.823 and outperforming either component alone.</p>
<p> Conclusion:<br />Together, cross-ancestry genetics plus proteomics sharpen AF biology, spotlight prevention targets, and move multi-omic risk stratification closer to clinical application.</p>
<p> Reference:<br />Yuan S, Chen J, Ruan X, Li Y, Abramowitz SA, Wang L, Jiang F, Xiong Y, Levin MG, Voight BF, Gill D, Burgess S, Åkesson A, Michaëlsson K, Li X, Damrauer SM, Larsson SC. Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation. Nature Communications. 2025;16:6426. <a title="https://doi.org/10.1038/s41467-025-61720-2" href="https://doi.org/10.1038/s41467-025-61720-2" target="_blank" rel="noreferrer noopener">doi:10.1038/s41467-025-61720-2</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Episode 104: Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation
 In this episode of PaperCast Base by Base, we explore a large cross-ancestry study that integrates genome-wide association results with plasma proteomics to map genetic architecture, nominate causal pathways and proteins, and boost risk prediction for atrial fibrillation (AF).
 Study Highlights:The authors meta-analyzed AF across ancestries—more than two million participants overall—and reported 525 genome-wide significant loci among 168,007 AF cases, with PITX2 and ZFHX3 emerging as shared signals across populations. Gene prioritization and pathway enrichment reinforced core roles in muscle contraction and cardiogenesis and highlighted additional mechanisms such as TGF-β signaling and electrical coupling. Mendelian randomization linked multiple modifiable traits—adiposity measures, LDL cholesterol, type 2 diabetes, blood pressure, smoking, alcohol use, sedentary behavior, and insomnia—to AF risk. Protein-wide Mendelian randomization nominated 28 circulating proteins with potential causal effects on AF, several of which already have drugs in other indications. Finally, combining a polygenic risk score with a protein score substantially improved incident AF prediction, achieving an AUC of 0.823 and outperforming either component alone.
 Conclusion:Together, cross-ancestry genetics plus proteomics sharpen AF biology, spotlight prevention targets, and move multi-omic risk stratification closer to clinical application.
 Reference:Yuan S, Chen J, Ruan X, Li Y, Abramowitz SA, Wang L, Jiang F, Xiong Y, Levin MG, Voight BF, Gill D, Burgess S, Åkesson A, Michaëlsson K, Li X, Damrauer SM, Larsson SC. Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation. Nature Communications. 2025;16:6426. doi:10.1038/s41467-025-61720-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[104: Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation]]>
                </itunes:title>
                                    <itunes:episode>104</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Episode 104: Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation</p>
<p> In this episode of PaperCast Base by Base, we explore a large cross-ancestry study that integrates genome-wide association results with plasma proteomics to map genetic architecture, nominate causal pathways and proteins, and boost risk prediction for atrial fibrillation (AF).</p>
<p> Study Highlights:<br />The authors meta-analyzed AF across ancestries—more than two million participants overall—and reported 525 genome-wide significant loci among 168,007 AF cases, with PITX2 and ZFHX3 emerging as shared signals across populations. Gene prioritization and pathway enrichment reinforced core roles in muscle contraction and cardiogenesis and highlighted additional mechanisms such as TGF-β signaling and electrical coupling. Mendelian randomization linked multiple modifiable traits—adiposity measures, LDL cholesterol, type 2 diabetes, blood pressure, smoking, alcohol use, sedentary behavior, and insomnia—to AF risk. Protein-wide Mendelian randomization nominated 28 circulating proteins with potential causal effects on AF, several of which already have drugs in other indications. Finally, combining a polygenic risk score with a protein score substantially improved incident AF prediction, achieving an AUC of 0.823 and outperforming either component alone.</p>
<p> Conclusion:<br />Together, cross-ancestry genetics plus proteomics sharpen AF biology, spotlight prevention targets, and move multi-omic risk stratification closer to clinical application.</p>
<p> Reference:<br />Yuan S, Chen J, Ruan X, Li Y, Abramowitz SA, Wang L, Jiang F, Xiong Y, Levin MG, Voight BF, Gill D, Burgess S, Åkesson A, Michaëlsson K, Li X, Damrauer SM, Larsson SC. Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation. Nature Communications. 2025;16:6426. <a title="https://doi.org/10.1038/s41467-025-61720-2" href="https://doi.org/10.1038/s41467-025-61720-2" target="_blank" rel="noreferrer noopener">doi:10.1038/s41467-025-61720-2</a></p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="https://creativecommons.org/licenses/by/4.0/" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br />If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="https://basebybase.castos.com/" href="https://basebybase.castos.com/" target="_blank" rel="noreferrer noopener">https://basebybase.castos.com/</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2110437/c1e-w38o0b37652bx3x80-xx4x6997hgjm-v9ehom.mp3?awCollectionId=66206&amp;awEpisodeId=https%3A%2F%2Fpermalink.castos.com%2Fpodcast%2F66206%2Fepisode%2F2110437&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fcross-population-gwas-proteomics-atrial-fibrillation&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=25902faf6b28c52749ce661b8827be92847a782d088cfb1eec5782734a5a73a6" length="24404261"
                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Episode 104: Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation
 In this episode of PaperCast Base by Base, we explore a large cross-ancestry study that integrates genome-wide association results with plasma proteomics to map genetic architecture, nominate causal pathways and proteins, and boost risk prediction for atrial fibrillation (AF).
 Study Highlights:The authors meta-analyzed AF across ancestries—more than two million participants overall—and reported 525 genome-wide significant loci among 168,007 AF cases, with PITX2 and ZFHX3 emerging as shared signals across populations. Gene prioritization and pathway enrichment reinforced core roles in muscle contraction and cardiogenesis and highlighted additional mechanisms such as TGF-β signaling and electrical coupling. Mendelian randomization linked multiple modifiable traits—adiposity measures, LDL cholesterol, type 2 diabetes, blood pressure, smoking, alcohol use, sedentary behavior, and insomnia—to AF risk. Protein-wide Mendelian randomization nominated 28 circulating proteins with potential causal effects on AF, several of which already have drugs in other indications. Finally, combining a polygenic risk score with a protein score substantially improved incident AF prediction, achieving an AUC of 0.823 and outperforming either component alone.
 Conclusion:Together, cross-ancestry genetics plus proteomics sharpen AF biology, spotlight prevention targets, and move multi-omic risk stratification closer to clinical application.
 Reference:Yuan S, Chen J, Ruan X, Li Y, Abramowitz SA, Wang L, Jiang F, Xiong Y, Levin MG, Voight BF, Gill D, Burgess S, Åkesson A, Michaëlsson K, Li X, Damrauer SM, Larsson SC. Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial fibrillation. Nature Communications. 2025;16:6426. doi:10.1038/s41467-025-61720-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://basebybase.castos.com/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2110437/c1a-p6xp7-2545wjj8uwz5-ljmxsy.png"></itunes:image>
                                                                            <itunes:duration>00:16:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[103: Genome Sequencing Forecasts Outcomes After Congenital Cardiac Surgery]]>
                </title>
                <pubDate>Mon, 11 Aug 2025 09:03:21 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2108297</guid>
                                    <link>https://basebybase.castos.com/episodes/genome-sequencing-forecasts-congenital-cardiac-surgery-outcomes</link>
                                <description>
                                            <![CDATA[<p>️ Episode 103: Genome Sequencing Forecasts Outcomes After Congenital Cardiac Surgery</p>
<p> In this episode of PaperCast Base by Base, we explore how large-scale exome sequencing combined with explainable AI can predict adverse outcomes after surgery for congenital heart defects. Using a prospective cohort from the Pediatric Cardiac Genomics Consortium, the study links specific genetic pathways to real-world postoperative risks and shows how genomics sharpens clinical risk stratification.</p>
<p> Study Highlights:<br /> A prospective observational cohort of 2,253 patients underwent whole-exome sequencing; variants were prioritized with an AI genome-interpretation tool, cardiac phenotypes were auto-classified, and Bayesian networks quantified risk. Damaging de novo variants in chromatin-modifying genes and recessive/biallelic genotypes in cilia-related genes were associated with higher probabilities of mortality, cardiac arrest, and prolonged ventilation, whereas their absence lowered risk. Effects were strongest in high-complexity surgeries and specific phenotypes—such as left-ventricular outflow tract obstruction/hypoplastic left heart for chromatin genes and heterotaxy for cilia genes—and were amplified by extra-cardiac anomalies. The framework delivers personalized, clinically relevant risk estimates that can inform pre-operative planning, including proactive respiratory strategies for patients with ciliary dysfunction.</p>
<p> Conclusion: Genomic profiling at or before surgery can meaningfully refine outcome forecasts for children with complex CHD, supporting earlier, targeted interventions and more precise peri-operative care.</p>
<p> Reference:<br /> Watkins WS, Hernandez EJ, Miller TA, et al. Genome sequencing is critical for forecasting outcomes following congenital cardiac surgery. <em>Nature Communications.</em> 2025;16:6365. <a title="https://doi.org/10.1038/s41467-025-61625-0" href="https://doi.org/10.1038/s41467-025-61625-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-61625-0  </a></p>
<p> License:<br /> This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="CC BY 4.0" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br /> If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="Donate" href="https://donate.stripe.com/bJe6oI2GD0co7oE9iWcMM00" target="_blank" rel="noreferrer noopener">https://donate.stripe.com/bJe6oI2GD0co7oE9iWcMM00</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<h3>Chapters</h3>
<ul><li>(00:00:00) - Pediatric Cardiac Genomics: The Future of Personalized Medicine</li><li>(00:06:53) - Heart Defects 7, Damaging Genotypes</li><li>(00:13:27) - Genomic sequencing for congenital heart surgery</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 103: Genome Sequencing Forecasts Outcomes After Congenital Cardiac Surgery
 In this episode of PaperCast Base by Base, we explore how large-scale exome sequencing combined with explainable AI can predict adverse outcomes after surgery for congenital heart defects. Using a prospective cohort from the Pediatric Cardiac Genomics Consortium, the study links specific genetic pathways to real-world postoperative risks and shows how genomics sharpens clinical risk stratification.
 Study Highlights: A prospective observational cohort of 2,253 patients underwent whole-exome sequencing; variants were prioritized with an AI genome-interpretation tool, cardiac phenotypes were auto-classified, and Bayesian networks quantified risk. Damaging de novo variants in chromatin-modifying genes and recessive/biallelic genotypes in cilia-related genes were associated with higher probabilities of mortality, cardiac arrest, and prolonged ventilation, whereas their absence lowered risk. Effects were strongest in high-complexity surgeries and specific phenotypes—such as left-ventricular outflow tract obstruction/hypoplastic left heart for chromatin genes and heterotaxy for cilia genes—and were amplified by extra-cardiac anomalies. The framework delivers personalized, clinically relevant risk estimates that can inform pre-operative planning, including proactive respiratory strategies for patients with ciliary dysfunction.
 Conclusion: Genomic profiling at or before surgery can meaningfully refine outcome forecasts for children with complex CHD, supporting earlier, targeted interventions and more precise peri-operative care.
 Reference: Watkins WS, Hernandez EJ, Miller TA, et al. Genome sequencing is critical for forecasting outcomes following congenital cardiac surgery. Nature Communications. 2025;16:6365. https://doi.org/10.1038/s41467-025-61625-0  
 License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support: If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://donate.stripe.com/bJe6oI2GD0co7oE9iWcMM00
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[103: Genome Sequencing Forecasts Outcomes After Congenital Cardiac Surgery]]>
                </itunes:title>
                                    <itunes:episode>103</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 103: Genome Sequencing Forecasts Outcomes After Congenital Cardiac Surgery</p>
<p> In this episode of PaperCast Base by Base, we explore how large-scale exome sequencing combined with explainable AI can predict adverse outcomes after surgery for congenital heart defects. Using a prospective cohort from the Pediatric Cardiac Genomics Consortium, the study links specific genetic pathways to real-world postoperative risks and shows how genomics sharpens clinical risk stratification.</p>
<p> Study Highlights:<br /> A prospective observational cohort of 2,253 patients underwent whole-exome sequencing; variants were prioritized with an AI genome-interpretation tool, cardiac phenotypes were auto-classified, and Bayesian networks quantified risk. Damaging de novo variants in chromatin-modifying genes and recessive/biallelic genotypes in cilia-related genes were associated with higher probabilities of mortality, cardiac arrest, and prolonged ventilation, whereas their absence lowered risk. Effects were strongest in high-complexity surgeries and specific phenotypes—such as left-ventricular outflow tract obstruction/hypoplastic left heart for chromatin genes and heterotaxy for cilia genes—and were amplified by extra-cardiac anomalies. The framework delivers personalized, clinically relevant risk estimates that can inform pre-operative planning, including proactive respiratory strategies for patients with ciliary dysfunction.</p>
<p> Conclusion: Genomic profiling at or before surgery can meaningfully refine outcome forecasts for children with complex CHD, supporting earlier, targeted interventions and more precise peri-operative care.</p>
<p> Reference:<br /> Watkins WS, Hernandez EJ, Miller TA, et al. Genome sequencing is critical for forecasting outcomes following congenital cardiac surgery. <em>Nature Communications.</em> 2025;16:6365. <a title="https://doi.org/10.1038/s41467-025-61625-0" href="https://doi.org/10.1038/s41467-025-61625-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41467-025-61625-0  </a></p>
<p> License:<br /> This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a title="CC BY 4.0" href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>
<p> Support:<br /> If you'd like to support Base by Base, you can make a one-time or monthly donation here: <a title="Donate" href="https://donate.stripe.com/bJe6oI2GD0co7oE9iWcMM00" target="_blank" rel="noreferrer noopener">https://donate.stripe.com/bJe6oI2GD0co7oE9iWcMM00</a></p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 103: Genome Sequencing Forecasts Outcomes After Congenital Cardiac Surgery
 In this episode of PaperCast Base by Base, we explore how large-scale exome sequencing combined with explainable AI can predict adverse outcomes after surgery for congenital heart defects. Using a prospective cohort from the Pediatric Cardiac Genomics Consortium, the study links specific genetic pathways to real-world postoperative risks and shows how genomics sharpens clinical risk stratification.
 Study Highlights: A prospective observational cohort of 2,253 patients underwent whole-exome sequencing; variants were prioritized with an AI genome-interpretation tool, cardiac phenotypes were auto-classified, and Bayesian networks quantified risk. Damaging de novo variants in chromatin-modifying genes and recessive/biallelic genotypes in cilia-related genes were associated with higher probabilities of mortality, cardiac arrest, and prolonged ventilation, whereas their absence lowered risk. Effects were strongest in high-complexity surgeries and specific phenotypes—such as left-ventricular outflow tract obstruction/hypoplastic left heart for chromatin genes and heterotaxy for cilia genes—and were amplified by extra-cardiac anomalies. The framework delivers personalized, clinically relevant risk estimates that can inform pre-operative planning, including proactive respiratory strategies for patients with ciliary dysfunction.
 Conclusion: Genomic profiling at or before surgery can meaningfully refine outcome forecasts for children with complex CHD, supporting earlier, targeted interventions and more precise peri-operative care.
 Reference: Watkins WS, Hernandez EJ, Miller TA, et al. Genome sequencing is critical for forecasting outcomes following congenital cardiac surgery. Nature Communications. 2025;16:6365. https://doi.org/10.1038/s41467-025-61625-0  
 License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support: If you'd like to support Base by Base, you can make a one-time or monthly donation here: https://donate.stripe.com/bJe6oI2GD0co7oE9iWcMM00
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:17:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                            </item>
                    <item>
                <title>
                    <![CDATA[102: Clinical Impact of Pharmacogenetic Risk Variants in a Large Chinese Cohort]]>
                </title>
                <pubDate>Sun, 10 Aug 2025 15:21:45 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    https://permalink.castos.com/podcast/66206/episode/2108018</guid>
                                    <link>https://basebybase.castos.com/episodes/clinical-impact-of-pharmacogenetic-risk-variants-large-chinese-</link>
                                <description>
                                            <![CDATA[<p>Episode 102: Clinical Impact of Pharmacogenetic Risk Variants in a Large Chinese Cohort</p>
<p>In this episode of PaperCast Base by Base, we explore how large-scale pharmacogenomics translates to real-world care using data from the Taiwan Precision Medicine Initiative. We follow a Nature Communications study that analyzes gene–drug interactions across 486,956 Han Chinese participants, quantifying how pharmacogenetic risk variants shape adverse drug events and effectiveness in routine practice while situating the findings within broader themes such as gene–disease association, variant interpretation, functional and structural genomics, and clinical deployment of precision medicine.</p>
<p>Study Highlights:<br />Using custom SNP arrays with imputation and targeted validation, the authors profiled actionable variants across 19 pharmacogenes and linked them to prescriptions and outcomes captured in longitudinal electronic medical records. They focused on four well-powered gene–drug pairs—NUDT15/TPMT with azathioprine, CYP2C19 with clopidogrel, ABCG2/SLCO1B1/CYP2C9 with statins, and CYP2C9 with NSAIDs—to estimate risks of myelosuppression, major adverse cardiovascular events, statin-associated muscle events, and gastrointestinal/renal toxicity. Across analyses, pharmacogenetic risk variants showed statistically significant associations with adverse events, yet the absolute excess risks were modest and most carriers tolerated therapy without predicted side effects. The work underscores implementation complexity: benefits depend on clinical context and competing risks, with high-frequency actionable loci in East Asian populations and non-genetic factors (like comorbidities and drug–drug interactions) often driving outcomes. Notably, limitations in resolving CYP2D6 structural variation from array data precluded analysis of several key pairs, motivating future whole-genome sequencing and standardized phenotyping.</p>
<p>Conclusion:<br />Large-scale PGx can inform risk-aware prescribing in diverse populations, but integrating genotype with comorbidities, concomitant medications, and improved genotyping (e.g., WGS) is essential to unlock clinical utility at population scale.</p>
<p>Reference:<br />Wei, C.-Y., Wen, M.-S., Cheng, C.-K., Sheen, Y.-J., Yao, T.-C., Lee, S.-L., et al. Clinical impact of pharmacogenetic risk variants in a large Chinese cohort. Nature Communications. 2025;16:6344. https://doi.org/10.1038/s41467-025-61644-x</p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - Patients' genetics: How their genes affect their treatment</li><li>(00:02:18) - What is pharmacogenetics?</li><li>(00:03:38) - Taiwan Precision Medicine Initiative study</li><li>(00:06:10) - PGX risk variants in the US</li><li>(00:10:50) - PGX studies: The complexity, limitations, and implications</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Episode 102: Clinical Impact of Pharmacogenetic Risk Variants in a Large Chinese Cohort
In this episode of PaperCast Base by Base, we explore how large-scale pharmacogenomics translates to real-world care using data from the Taiwan Precision Medicine Initiative. We follow a Nature Communications study that analyzes gene–drug interactions across 486,956 Han Chinese participants, quantifying how pharmacogenetic risk variants shape adverse drug events and effectiveness in routine practice while situating the findings within broader themes such as gene–disease association, variant interpretation, functional and structural genomics, and clinical deployment of precision medicine.
Study Highlights:Using custom SNP arrays with imputation and targeted validation, the authors profiled actionable variants across 19 pharmacogenes and linked them to prescriptions and outcomes captured in longitudinal electronic medical records. They focused on four well-powered gene–drug pairs—NUDT15/TPMT with azathioprine, CYP2C19 with clopidogrel, ABCG2/SLCO1B1/CYP2C9 with statins, and CYP2C9 with NSAIDs—to estimate risks of myelosuppression, major adverse cardiovascular events, statin-associated muscle events, and gastrointestinal/renal toxicity. Across analyses, pharmacogenetic risk variants showed statistically significant associations with adverse events, yet the absolute excess risks were modest and most carriers tolerated therapy without predicted side effects. The work underscores implementation complexity: benefits depend on clinical context and competing risks, with high-frequency actionable loci in East Asian populations and non-genetic factors (like comorbidities and drug–drug interactions) often driving outcomes. Notably, limitations in resolving CYP2D6 structural variation from array data precluded analysis of several key pairs, motivating future whole-genome sequencing and standardized phenotyping.
Conclusion:Large-scale PGx can inform risk-aware prescribing in diverse populations, but integrating genotype with comorbidities, concomitant medications, and improved genotyping (e.g., WGS) is essential to unlock clinical utility at population scale.
Reference:Wei, C.-Y., Wen, M.-S., Cheng, C.-K., Sheen, Y.-J., Yao, T.-C., Lee, S.-L., et al. Clinical impact of pharmacogenetic risk variants in a large Chinese cohort. Nature Communications. 2025;16:6344. https://doi.org/10.1038/s41467-025-61644-x
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[102: Clinical Impact of Pharmacogenetic Risk Variants in a Large Chinese Cohort]]>
                </itunes:title>
                                    <itunes:episode>102</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Episode 102: Clinical Impact of Pharmacogenetic Risk Variants in a Large Chinese Cohort</p>
<p>In this episode of PaperCast Base by Base, we explore how large-scale pharmacogenomics translates to real-world care using data from the Taiwan Precision Medicine Initiative. We follow a Nature Communications study that analyzes gene–drug interactions across 486,956 Han Chinese participants, quantifying how pharmacogenetic risk variants shape adverse drug events and effectiveness in routine practice while situating the findings within broader themes such as gene–disease association, variant interpretation, functional and structural genomics, and clinical deployment of precision medicine.</p>
<p>Study Highlights:<br />Using custom SNP arrays with imputation and targeted validation, the authors profiled actionable variants across 19 pharmacogenes and linked them to prescriptions and outcomes captured in longitudinal electronic medical records. They focused on four well-powered gene–drug pairs—NUDT15/TPMT with azathioprine, CYP2C19 with clopidogrel, ABCG2/SLCO1B1/CYP2C9 with statins, and CYP2C9 with NSAIDs—to estimate risks of myelosuppression, major adverse cardiovascular events, statin-associated muscle events, and gastrointestinal/renal toxicity. Across analyses, pharmacogenetic risk variants showed statistically significant associations with adverse events, yet the absolute excess risks were modest and most carriers tolerated therapy without predicted side effects. The work underscores implementation complexity: benefits depend on clinical context and competing risks, with high-frequency actionable loci in East Asian populations and non-genetic factors (like comorbidities and drug–drug interactions) often driving outcomes. Notably, limitations in resolving CYP2D6 structural variation from array data precluded analysis of several key pairs, motivating future whole-genome sequencing and standardized phenotyping.</p>
<p>Conclusion:<br />Large-scale PGx can inform risk-aware prescribing in diverse populations, but integrating genotype with comorbidities, concomitant medications, and improved genotyping (e.g., WGS) is essential to unlock clinical utility at population scale.</p>
<p>Reference:<br />Wei, C.-Y., Wen, M.-S., Cheng, C.-K., Sheen, Y.-J., Yao, T.-C., Lee, S.-L., et al. Clinical impact of pharmacogenetic risk variants in a large Chinese cohort. Nature Communications. 2025;16:6344. https://doi.org/10.1038/s41467-025-61644-x</p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Episode 102: Clinical Impact of Pharmacogenetic Risk Variants in a Large Chinese Cohort
In this episode of PaperCast Base by Base, we explore how large-scale pharmacogenomics translates to real-world care using data from the Taiwan Precision Medicine Initiative. We follow a Nature Communications study that analyzes gene–drug interactions across 486,956 Han Chinese participants, quantifying how pharmacogenetic risk variants shape adverse drug events and effectiveness in routine practice while situating the findings within broader themes such as gene–disease association, variant interpretation, functional and structural genomics, and clinical deployment of precision medicine.
Study Highlights:Using custom SNP arrays with imputation and targeted validation, the authors profiled actionable variants across 19 pharmacogenes and linked them to prescriptions and outcomes captured in longitudinal electronic medical records. They focused on four well-powered gene–drug pairs—NUDT15/TPMT with azathioprine, CYP2C19 with clopidogrel, ABCG2/SLCO1B1/CYP2C9 with statins, and CYP2C9 with NSAIDs—to estimate risks of myelosuppression, major adverse cardiovascular events, statin-associated muscle events, and gastrointestinal/renal toxicity. Across analyses, pharmacogenetic risk variants showed statistically significant associations with adverse events, yet the absolute excess risks were modest and most carriers tolerated therapy without predicted side effects. The work underscores implementation complexity: benefits depend on clinical context and competing risks, with high-frequency actionable loci in East Asian populations and non-genetic factors (like comorbidities and drug–drug interactions) often driving outcomes. Notably, limitations in resolving CYP2D6 structural variation from array data precluded analysis of several key pairs, motivating future whole-genome sequencing and standardized phenotyping.
Conclusion:Large-scale PGx can inform risk-aware prescribing in diverse populations, but integrating genotype with comorbidities, concomitant medications, and improved genotyping (e.g., WGS) is essential to unlock clinical utility at population scale.
Reference:Wei, C.-Y., Wen, M.-S., Cheng, C.-K., Sheen, Y.-J., Yao, T.-C., Lee, S.-L., et al. Clinical impact of pharmacogenetic risk variants in a large Chinese cohort. Nature Communications. 2025;16:6344. https://doi.org/10.1038/s41467-025-61644-x
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2108018/c1a-p6xp7-xx4xg5r8t8go-ntzfai.png"></itunes:image>
                                                                            <itunes:duration>00:14:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                    <item>
                <title>
                    <![CDATA[101: JAK2 Inhibition Selects RAS-Mutant Clones in Myelofibrosis]]>
                </title>
                <pubDate>Sat, 09 Aug 2025 09:26:59 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="true">
                    https://permalink.castos.com/podcast/66206/episode/2107757</guid>
                                    <link>https://basebybase.castos.com/episodes/jak2-inhibition-selects-ras-mutations-in-mpn</link>
                                <description>
                                            <![CDATA[<p>️Episode 101: JAK2 Inhibition Selects RAS-Mutant Clones in Myelofibrosis</p>
<p>In this episode of PaperCast Base by Base, we explore how JAK2 inhibition with ruxolitinib can reshape clonal architecture in myeloproliferative neoplasms (MPN), favoring outgrowth of RAS‑pathway mutant subclones and altering patient outcomes. We situate these findings within the broader landscape of genomics, functional and structural genomics, and proteomics—touching on themes like gene–disease association, variant interpretation, and resistance mechanisms in targeted therapies.</p>
<p>Study Highlights:<br />Using a longitudinal myelofibrosis cohort with paired molecular evaluations, the authors show that patients exposed to ruxolitinib preferentially acquire or expand RAS pathway mutations, with variant allele frequencies increasing over time and a higher prevalence of multiple RAS‑mutant clones; in contrast, such enrichment is uncommon in untreated patients and RAS status predicts poorer overall and transformation‑free survival only under ruxolitinib exposure. Single‑cell DNA sequencing and ex vivo treatment of primary CD34+ cells demonstrate that RAS‑mutant clones gain a fitness advantage under JAK/STAT inhibition in both wild‑type and hyper‑activated JAK/STAT contexts, while canonical MPN driver allele burdens often decline. In vitro and in vivo competition assays, alongside shRNA‑mediated JAK2 knockdown, show increased proliferation and clonogenicity of RAS‑mutant cells during JAK2 inhibition, and co‑treatment with a MEK inhibitor partially reverses this advantage. Mechanistically, MAPK pathway activation and JAK2 downregulation correlate with release from oncogene‑induced senescence and increased cell‑cycle progression in RAS‑mutant cells, and external datasets further associate RAS alterations with resistance to multiple JAK2 inhibitors.</p>
<p>Conclusion:<br />Screening for pre‑existing RAS pathway mutations and monitoring clonal evolution during JAK2‑inhibitor therapy may inform risk, guide combination strategies, and ultimately improve MPN patient management.</p>
<p>Reference:<br />Maslah N, Kaci N, Roux B, Alexe G, Marie R, Pasquer H, Verger E, Daltro De Oliveira R, Culeux C, Mlayah B, Gauthier N, Gonzales F, Zhao L‑P, Ganesan S, Gou P, Ling F, Soret‑Dulphy J, Parquet N, Vainchenker W, Raffoux E, Padua RA, Giraudier S, Marty C, Plo I, Lobry C, Stegmaier K, Puissant A, Kiladjian J‑J, Cassinat B, Benajiba L. JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms. Nature Communications. 2025;16:6270. doi:10.1038/s41467-025-60884-1</p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> </p>
<h3>Chapters</h3>
<ul><li>(00:00:14) - Papercast: The dynamic dance of cancer biology</li><li>(00:01:56) - JEK-inhibitors: The precision of their targeting</li><li>(00:07:19) - Ruxolitinib and the Ras mutation</li><li>(00:12:52) - JAK2 inhibition in metastatic pancreatic cancer</li><li>(00:17:00) - The oncogene overdose or paradoxical selection</li></ul>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️Episode 101: JAK2 Inhibition Selects RAS-Mutant Clones in Myelofibrosis
In this episode of PaperCast Base by Base, we explore how JAK2 inhibition with ruxolitinib can reshape clonal architecture in myeloproliferative neoplasms (MPN), favoring outgrowth of RAS‑pathway mutant subclones and altering patient outcomes. We situate these findings within the broader landscape of genomics, functional and structural genomics, and proteomics—touching on themes like gene–disease association, variant interpretation, and resistance mechanisms in targeted therapies.
Study Highlights:Using a longitudinal myelofibrosis cohort with paired molecular evaluations, the authors show that patients exposed to ruxolitinib preferentially acquire or expand RAS pathway mutations, with variant allele frequencies increasing over time and a higher prevalence of multiple RAS‑mutant clones; in contrast, such enrichment is uncommon in untreated patients and RAS status predicts poorer overall and transformation‑free survival only under ruxolitinib exposure. Single‑cell DNA sequencing and ex vivo treatment of primary CD34+ cells demonstrate that RAS‑mutant clones gain a fitness advantage under JAK/STAT inhibition in both wild‑type and hyper‑activated JAK/STAT contexts, while canonical MPN driver allele burdens often decline. In vitro and in vivo competition assays, alongside shRNA‑mediated JAK2 knockdown, show increased proliferation and clonogenicity of RAS‑mutant cells during JAK2 inhibition, and co‑treatment with a MEK inhibitor partially reverses this advantage. Mechanistically, MAPK pathway activation and JAK2 downregulation correlate with release from oncogene‑induced senescence and increased cell‑cycle progression in RAS‑mutant cells, and external datasets further associate RAS alterations with resistance to multiple JAK2 inhibitors.
Conclusion:Screening for pre‑existing RAS pathway mutations and monitoring clonal evolution during JAK2‑inhibitor therapy may inform risk, guide combination strategies, and ultimately improve MPN patient management.
Reference:Maslah N, Kaci N, Roux B, Alexe G, Marie R, Pasquer H, Verger E, Daltro De Oliveira R, Culeux C, Mlayah B, Gauthier N, Gonzales F, Zhao L‑P, Ganesan S, Gou P, Ling F, Soret‑Dulphy J, Parquet N, Vainchenker W, Raffoux E, Padua RA, Giraudier S, Marty C, Plo I, Lobry C, Stegmaier K, Puissant A, Kiladjian J‑J, Cassinat B, Benajiba L. JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms. Nature Communications. 2025;16:6270. doi:10.1038/s41467-025-60884-1
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 ]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[101: JAK2 Inhibition Selects RAS-Mutant Clones in Myelofibrosis]]>
                </itunes:title>
                                    <itunes:episode>101</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️Episode 101: JAK2 Inhibition Selects RAS-Mutant Clones in Myelofibrosis</p>
<p>In this episode of PaperCast Base by Base, we explore how JAK2 inhibition with ruxolitinib can reshape clonal architecture in myeloproliferative neoplasms (MPN), favoring outgrowth of RAS‑pathway mutant subclones and altering patient outcomes. We situate these findings within the broader landscape of genomics, functional and structural genomics, and proteomics—touching on themes like gene–disease association, variant interpretation, and resistance mechanisms in targeted therapies.</p>
<p>Study Highlights:<br />Using a longitudinal myelofibrosis cohort with paired molecular evaluations, the authors show that patients exposed to ruxolitinib preferentially acquire or expand RAS pathway mutations, with variant allele frequencies increasing over time and a higher prevalence of multiple RAS‑mutant clones; in contrast, such enrichment is uncommon in untreated patients and RAS status predicts poorer overall and transformation‑free survival only under ruxolitinib exposure. Single‑cell DNA sequencing and ex vivo treatment of primary CD34+ cells demonstrate that RAS‑mutant clones gain a fitness advantage under JAK/STAT inhibition in both wild‑type and hyper‑activated JAK/STAT contexts, while canonical MPN driver allele burdens often decline. In vitro and in vivo competition assays, alongside shRNA‑mediated JAK2 knockdown, show increased proliferation and clonogenicity of RAS‑mutant cells during JAK2 inhibition, and co‑treatment with a MEK inhibitor partially reverses this advantage. Mechanistically, MAPK pathway activation and JAK2 downregulation correlate with release from oncogene‑induced senescence and increased cell‑cycle progression in RAS‑mutant cells, and external datasets further associate RAS alterations with resistance to multiple JAK2 inhibitors.</p>
<p>Conclusion:<br />Screening for pre‑existing RAS pathway mutations and monitoring clonal evolution during JAK2‑inhibitor therapy may inform risk, guide combination strategies, and ultimately improve MPN patient management.</p>
<p>Reference:<br />Maslah N, Kaci N, Roux B, Alexe G, Marie R, Pasquer H, Verger E, Daltro De Oliveira R, Culeux C, Mlayah B, Gauthier N, Gonzales F, Zhao L‑P, Ganesan S, Gou P, Ling F, Soret‑Dulphy J, Parquet N, Vainchenker W, Raffoux E, Padua RA, Giraudier S, Marty C, Plo I, Lobry C, Stegmaier K, Puissant A, Kiladjian J‑J, Cassinat B, Benajiba L. JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms. Nature Communications. 2025;16:6270. doi:10.1038/s41467-025-60884-1</p>
<p>License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> </p>]]>
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                                <itunes:summary>
                    <![CDATA[️Episode 101: JAK2 Inhibition Selects RAS-Mutant Clones in Myelofibrosis
In this episode of PaperCast Base by Base, we explore how JAK2 inhibition with ruxolitinib can reshape clonal architecture in myeloproliferative neoplasms (MPN), favoring outgrowth of RAS‑pathway mutant subclones and altering patient outcomes. We situate these findings within the broader landscape of genomics, functional and structural genomics, and proteomics—touching on themes like gene–disease association, variant interpretation, and resistance mechanisms in targeted therapies.
Study Highlights:Using a longitudinal myelofibrosis cohort with paired molecular evaluations, the authors show that patients exposed to ruxolitinib preferentially acquire or expand RAS pathway mutations, with variant allele frequencies increasing over time and a higher prevalence of multiple RAS‑mutant clones; in contrast, such enrichment is uncommon in untreated patients and RAS status predicts poorer overall and transformation‑free survival only under ruxolitinib exposure. Single‑cell DNA sequencing and ex vivo treatment of primary CD34+ cells demonstrate that RAS‑mutant clones gain a fitness advantage under JAK/STAT inhibition in both wild‑type and hyper‑activated JAK/STAT contexts, while canonical MPN driver allele burdens often decline. In vitro and in vivo competition assays, alongside shRNA‑mediated JAK2 knockdown, show increased proliferation and clonogenicity of RAS‑mutant cells during JAK2 inhibition, and co‑treatment with a MEK inhibitor partially reverses this advantage. Mechanistically, MAPK pathway activation and JAK2 downregulation correlate with release from oncogene‑induced senescence and increased cell‑cycle progression in RAS‑mutant cells, and external datasets further associate RAS alterations with resistance to multiple JAK2 inhibitors.
Conclusion:Screening for pre‑existing RAS pathway mutations and monitoring clonal evolution during JAK2‑inhibitor therapy may inform risk, guide combination strategies, and ultimately improve MPN patient management.
Reference:Maslah N, Kaci N, Roux B, Alexe G, Marie R, Pasquer H, Verger E, Daltro De Oliveira R, Culeux C, Mlayah B, Gauthier N, Gonzales F, Zhao L‑P, Ganesan S, Gou P, Ling F, Soret‑Dulphy J, Parquet N, Vainchenker W, Raffoux E, Padua RA, Giraudier S, Marty C, Plo I, Lobry C, Stegmaier K, Puissant A, Kiladjian J‑J, Cassinat B, Benajiba L. JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms. Nature Communications. 2025;16:6270. doi:10.1038/s41467-025-60884-1
License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 ]]>
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                                                                            <itunes:duration>00:18:25</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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                <title>
                    <![CDATA[100: ALMA: Epigenomic diagnosis & prognosis of AML]]>
                </title>
                <pubDate>Fri, 08 Aug 2025 10:32:18 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    ca3ae569-45cf-4787-8b2b-99be74ffda41</guid>
                                    <link>https://basebybase.castos.com/episodes/alma-epigenomic-aml-episode-100</link>
                                <description>
                                            <![CDATA[<p>Marchi F et al., Nature Communications - This study builds the Acute Leukemia Methylome Atlas (ALMA) from 3,314 patient methylomes and presents three models—ALMA Subtype, AML Epigenomic Risk, and a 38‑CpG signature—that classify WHO2022 subtypes and predict 5‑year survival. The authors also demonstrate a nanopore-based specimen‑to‑result workflow for combined genome and epigenome profiling. Key terms: acute myeloid leukemia, DNA methylation, epigenomics, nanopore sequencing, machine learning.</p>
<p> Study Highlights:<br />The authors harmonized DNA methylation from 3,314 leukemia patient samples (331,556 CpGs) to create ALMA and a PaCMAP‑based representation that supports supervised classifiers. ALMA Subtype accurately stratifies 27 WHO2022 diagnostic subtypes and the AML Epigenomic Risk model predicts 5‑year overall survival with validation across independent pediatric and adult cohorts. A 38‑CpG prognostic signature derived by EWAS and penalized Cox modeling predicts 5‑year OS and remains independently prognostic after multivariable adjustment. A rapid long‑read nanopore specimen‑to‑result protocol on 20 specimens showed high concordance between epigenomic signatures and genomic lesions, with limitations for rare subtypes and very low coverage.</p>
<p> Conclusion:<br />ALMA and its derived models demonstrate that DNA methylation profiling, combined with machine learning and a nanopore specimen‑to‑result workflow, can improve diagnostic subtyping and 5‑year prognostication in AML, though broader training data and prospective validation are needed for rare subtypes.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Epigenomic diagnosis and prognosis of Acute Myeloid Leukemia</p>
<p> First author:<br />Marchi F</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-62005-4</p>
<p> Reference:<br />Marchi F. et al., Epigenomic diagnosis and prognosis of Acute Myeloid Leukemia. Nature Communications (2025). doi:10.1038/s41467-025-62005-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/alma-epigenomic-aml-episode-100</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's presentation of ALMA atlas construction, subtype and risk modeling, 38-CpG signature, nanopore specimen-to-result workflow, and discussed limitations. Compared these to the canonical article text.<br />- transcript topics: ALMA atlas construction and data scale; PaCMAP dimensionality reduction; ALMA Subtype classification across WHO2022; AML Epigenomic Risk prognostic modeling; 38-CpG AML Signature prognostic capability; Nanopore specimen-to-result protocol and clinical validation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ALMA built from 3314 patient samples across 11 harmonized cohorts (331556 CpGs).<br />- ALMA Subtype classifies 27 WHO2022 subtypes plus otherwise-normal control with robust cross-cohort per...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Marchi F et al., Nature Communications - This study builds the Acute Leukemia Methylome Atlas (ALMA) from 3,314 patient methylomes and presents three models—ALMA Subtype, AML Epigenomic Risk, and a 38‑CpG signature—that classify WHO2022 subtypes and predict 5‑year survival. The authors also demonstrate a nanopore-based specimen‑to‑result workflow for combined genome and epigenome profiling. Key terms: acute myeloid leukemia, DNA methylation, epigenomics, nanopore sequencing, machine learning.
 Study Highlights:The authors harmonized DNA methylation from 3,314 leukemia patient samples (331,556 CpGs) to create ALMA and a PaCMAP‑based representation that supports supervised classifiers. ALMA Subtype accurately stratifies 27 WHO2022 diagnostic subtypes and the AML Epigenomic Risk model predicts 5‑year overall survival with validation across independent pediatric and adult cohorts. A 38‑CpG prognostic signature derived by EWAS and penalized Cox modeling predicts 5‑year OS and remains independently prognostic after multivariable adjustment. A rapid long‑read nanopore specimen‑to‑result protocol on 20 specimens showed high concordance between epigenomic signatures and genomic lesions, with limitations for rare subtypes and very low coverage.
 Conclusion:ALMA and its derived models demonstrate that DNA methylation profiling, combined with machine learning and a nanopore specimen‑to‑result workflow, can improve diagnostic subtyping and 5‑year prognostication in AML, though broader training data and prospective validation are needed for rare subtypes.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Epigenomic diagnosis and prognosis of Acute Myeloid Leukemia
 First author:Marchi F
 Journal:Nature Communications
 DOI:10.1038/s41467-025-62005-4
 Reference:Marchi F. et al., Epigenomic diagnosis and prognosis of Acute Myeloid Leukemia. Nature Communications (2025). doi:10.1038/s41467-025-62005-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/alma-epigenomic-aml-episode-100
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's presentation of ALMA atlas construction, subtype and risk modeling, 38-CpG signature, nanopore specimen-to-result workflow, and discussed limitations. Compared these to the canonical article text.- transcript topics: ALMA atlas construction and data scale; PaCMAP dimensionality reduction; ALMA Subtype classification across WHO2022; AML Epigenomic Risk prognostic modeling; 38-CpG AML Signature prognostic capability; Nanopore specimen-to-result protocol and clinical validation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- ALMA built from 3314 patient samples across 11 harmonized cohorts (331556 CpGs).- ALMA Subtype classifies 27 WHO2022 subtypes plus otherwise-normal control with robust cross-cohort per...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[100: ALMA: Epigenomic diagnosis & prognosis of AML]]>
                </itunes:title>
                                    <itunes:episode>100</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Marchi F et al., Nature Communications - This study builds the Acute Leukemia Methylome Atlas (ALMA) from 3,314 patient methylomes and presents three models—ALMA Subtype, AML Epigenomic Risk, and a 38‑CpG signature—that classify WHO2022 subtypes and predict 5‑year survival. The authors also demonstrate a nanopore-based specimen‑to‑result workflow for combined genome and epigenome profiling. Key terms: acute myeloid leukemia, DNA methylation, epigenomics, nanopore sequencing, machine learning.</p>
<p> Study Highlights:<br />The authors harmonized DNA methylation from 3,314 leukemia patient samples (331,556 CpGs) to create ALMA and a PaCMAP‑based representation that supports supervised classifiers. ALMA Subtype accurately stratifies 27 WHO2022 diagnostic subtypes and the AML Epigenomic Risk model predicts 5‑year overall survival with validation across independent pediatric and adult cohorts. A 38‑CpG prognostic signature derived by EWAS and penalized Cox modeling predicts 5‑year OS and remains independently prognostic after multivariable adjustment. A rapid long‑read nanopore specimen‑to‑result protocol on 20 specimens showed high concordance between epigenomic signatures and genomic lesions, with limitations for rare subtypes and very low coverage.</p>
<p> Conclusion:<br />ALMA and its derived models demonstrate that DNA methylation profiling, combined with machine learning and a nanopore specimen‑to‑result workflow, can improve diagnostic subtyping and 5‑year prognostication in AML, though broader training data and prospective validation are needed for rare subtypes.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Epigenomic diagnosis and prognosis of Acute Myeloid Leukemia</p>
<p> First author:<br />Marchi F</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-62005-4</p>
<p> Reference:<br />Marchi F. et al., Epigenomic diagnosis and prognosis of Acute Myeloid Leukemia. Nature Communications (2025). doi:10.1038/s41467-025-62005-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/alma-epigenomic-aml-episode-100</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's presentation of ALMA atlas construction, subtype and risk modeling, 38-CpG signature, nanopore specimen-to-result workflow, and discussed limitations. Compared these to the canonical article text.<br />- transcript topics: ALMA atlas construction and data scale; PaCMAP dimensionality reduction; ALMA Subtype classification across WHO2022; AML Epigenomic Risk prognostic modeling; 38-CpG AML Signature prognostic capability; Nanopore specimen-to-result protocol and clinical validation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ALMA built from 3314 patient samples across 11 harmonized cohorts (331556 CpGs).<br />- ALMA Subtype classifies 27 WHO2022 subtypes plus otherwise-normal control with robust cross-cohort performance.<br />- AML Epigenomic Risk predicts 5-year overall survival; HR ~4.40 in discovery; independent predictor after adjusting for MRD.<br />- 38-CpG AML Signature predicts 5-year OS; significant HRs across discovery and validation cohorts; independent predictor.<br />- A 38-CpG panel provides prognostic capacity with simpler data requirements compared to 331K CpGs.<br />- Specimen-to-result protocol uses long-read nanopore sequencing on small volumes (≈200 µL) with ~48 h turnaround; 20 specimens from 17 patients; concordance with genomic calls obser</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Marchi F et al., Nature Communications - This study builds the Acute Leukemia Methylome Atlas (ALMA) from 3,314 patient methylomes and presents three models—ALMA Subtype, AML Epigenomic Risk, and a 38‑CpG signature—that classify WHO2022 subtypes and predict 5‑year survival. The authors also demonstrate a nanopore-based specimen‑to‑result workflow for combined genome and epigenome profiling. Key terms: acute myeloid leukemia, DNA methylation, epigenomics, nanopore sequencing, machine learning.
 Study Highlights:The authors harmonized DNA methylation from 3,314 leukemia patient samples (331,556 CpGs) to create ALMA and a PaCMAP‑based representation that supports supervised classifiers. ALMA Subtype accurately stratifies 27 WHO2022 diagnostic subtypes and the AML Epigenomic Risk model predicts 5‑year overall survival with validation across independent pediatric and adult cohorts. A 38‑CpG prognostic signature derived by EWAS and penalized Cox modeling predicts 5‑year OS and remains independently prognostic after multivariable adjustment. A rapid long‑read nanopore specimen‑to‑result protocol on 20 specimens showed high concordance between epigenomic signatures and genomic lesions, with limitations for rare subtypes and very low coverage.
 Conclusion:ALMA and its derived models demonstrate that DNA methylation profiling, combined with machine learning and a nanopore specimen‑to‑result workflow, can improve diagnostic subtyping and 5‑year prognostication in AML, though broader training data and prospective validation are needed for rare subtypes.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Epigenomic diagnosis and prognosis of Acute Myeloid Leukemia
 First author:Marchi F
 Journal:Nature Communications
 DOI:10.1038/s41467-025-62005-4
 Reference:Marchi F. et al., Epigenomic diagnosis and prognosis of Acute Myeloid Leukemia. Nature Communications (2025). doi:10.1038/s41467-025-62005-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/alma-epigenomic-aml-episode-100
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's presentation of ALMA atlas construction, subtype and risk modeling, 38-CpG signature, nanopore specimen-to-result workflow, and discussed limitations. Compared these to the canonical article text.- transcript topics: ALMA atlas construction and data scale; PaCMAP dimensionality reduction; ALMA Subtype classification across WHO2022; AML Epigenomic Risk prognostic modeling; 38-CpG AML Signature prognostic capability; Nanopore specimen-to-result protocol and clinical validation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- ALMA built from 3314 patient samples across 11 harmonized cohorts (331556 CpGs).- ALMA Subtype classifies 27 WHO2022 subtypes plus otherwise-normal control with robust cross-cohort per...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:14:44</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[99: NXT2: a testis-specific RNA export hub essential for human spermatogenesis]]>
                </title>
                <pubDate>Thu, 07 Aug 2025 08:24:07 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    83f611be-b1da-4b9d-842c-4e16e422e54e</guid>
                                    <link>https://basebybase.castos.com/episodes/ep99-nxt2-testis-rna-export</link>
                                <description>
                                            <![CDATA[<p>Dicke A-K et al., Nature Communications - Proteomics, molecular and genetic analyses identify NXT2 as the predominant NXT protein in the human testis that binds NXF1, NXF2 and NXF3 and associates with nucleoporins. Loss-of-function variants in NXT2 are linked to azoospermia with Sertoli cell-only testes, while an NXF3 LoF causes severe sperm defects. Key terms: NXT2, NXF3, RNA export, azoospermia, spermatogenesis.</p>
<p> Study Highlights:<br />Proteomic pulldowns from adult human testis reveal NXT2 enrichment together with NXF1, testis-specific paralogs NXF2 and NXF3, and multiple nucleoporins, suggesting a testis-adapted mRNA export complex. Co-immunoprecipitation and deletion mapping show binding between NXT2 and NXF2/NXF3 is mediated by NTF2-like domains. Rare hemizygous loss-of-function variants or deletion of NXT2 were found in infertile men with non-obstructive azoospermia and predominant Sertoli cell-only histology, and an NXF3 stop-gain variant is associated with extreme oligoasthenoteratozoospermia. Functional assays in cells and tissue staining corroborate absent or truncated protein expression and link disrupted NXT2/NXF3 activity to impaired germ cell development and spermatogenesis.</p>
<p> Conclusion:<br />NXT2 is a testis-enriched core component of a human testis-adapted RNA nuclear export factor complex and loss of NXT2 function is strongly associated with disrupted germ cell development and male infertility.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />NXT2 is a key component of the RNA nuclear export factor complex in the human testis and essential for spermatogenesis</p>
<p> First author:<br />Dicke A-K</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61463-0</p>
<p> Reference:<br />Dicke A-K, Ahmedani A, Ma L, Herrmann L, van der Heijden GW, Koser SA, Krallmann C, Kalyon O, Xavier MJ, Veltman JA, Kliesch S, Neuhaus N, Kotaja N, Tüttelmann F &amp; Stallmeyer B. NXT2 is a key component of the RNA nuclear export factor complex in the human testis and essential for spermatogenesis. Nature Communications. 2025;16:6254. doi:10.1038/s41467-025-61463-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep99-nxt2-testis-rna-export</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the portions of the transcript that describe (1) the baseline RNA export pathway, (2) the NXT2-centered testis-specific export complex with NXF2/NXF3 and nucleoporins, (3) the genetic evidence from MERGE/Nijmegen cohorts linking NXT2 LoF to azoospermia and SCO, (4) the NXF3 LoF case and its phenotype, (5) LOEUF<br />- transcript topics: NXT2 as a testis-specific RNA export component; NXT2 interaction with NXF2 and NXF3 via NTF2-like domains; NXT2 predominance in adult human testis vs NXT1; Genetic evidence: NXT2 loss-of-function variants associated with azoospermia and Sertoli cell-only histology; NXF3 loss-of-function and extreme oligoasthenoteratozoospermia; Temporal expression: NXT2 in fetal germ cells; NXF3 in post-meiotic germ cells</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- met...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Dicke A-K et al., Nature Communications - Proteomics, molecular and genetic analyses identify NXT2 as the predominant NXT protein in the human testis that binds NXF1, NXF2 and NXF3 and associates with nucleoporins. Loss-of-function variants in NXT2 are linked to azoospermia with Sertoli cell-only testes, while an NXF3 LoF causes severe sperm defects. Key terms: NXT2, NXF3, RNA export, azoospermia, spermatogenesis.
 Study Highlights:Proteomic pulldowns from adult human testis reveal NXT2 enrichment together with NXF1, testis-specific paralogs NXF2 and NXF3, and multiple nucleoporins, suggesting a testis-adapted mRNA export complex. Co-immunoprecipitation and deletion mapping show binding between NXT2 and NXF2/NXF3 is mediated by NTF2-like domains. Rare hemizygous loss-of-function variants or deletion of NXT2 were found in infertile men with non-obstructive azoospermia and predominant Sertoli cell-only histology, and an NXF3 stop-gain variant is associated with extreme oligoasthenoteratozoospermia. Functional assays in cells and tissue staining corroborate absent or truncated protein expression and link disrupted NXT2/NXF3 activity to impaired germ cell development and spermatogenesis.
 Conclusion:NXT2 is a testis-enriched core component of a human testis-adapted RNA nuclear export factor complex and loss of NXT2 function is strongly associated with disrupted germ cell development and male infertility.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:NXT2 is a key component of the RNA nuclear export factor complex in the human testis and essential for spermatogenesis
 First author:Dicke A-K
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61463-0
 Reference:Dicke A-K, Ahmedani A, Ma L, Herrmann L, van der Heijden GW, Koser SA, Krallmann C, Kalyon O, Xavier MJ, Veltman JA, Kliesch S, Neuhaus N, Kotaja N, Tüttelmann F & Stallmeyer B. NXT2 is a key component of the RNA nuclear export factor complex in the human testis and essential for spermatogenesis. Nature Communications. 2025;16:6254. doi:10.1038/s41467-025-61463-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep99-nxt2-testis-rna-export
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the portions of the transcript that describe (1) the baseline RNA export pathway, (2) the NXT2-centered testis-specific export complex with NXF2/NXF3 and nucleoporins, (3) the genetic evidence from MERGE/Nijmegen cohorts linking NXT2 LoF to azoospermia and SCO, (4) the NXF3 LoF case and its phenotype, (5) LOEUF- transcript topics: NXT2 as a testis-specific RNA export component; NXT2 interaction with NXF2 and NXF3 via NTF2-like domains; NXT2 predominance in adult human testis vs NXT1; Genetic evidence: NXT2 loss-of-function variants associated with azoospermia and Sertoli cell-only histology; NXF3 loss-of-function and extreme oligoasthenoteratozoospermia; Temporal expression: NXT2 in fetal germ cells; NXF3 in post-meiotic germ cells
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- met...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[99: NXT2: a testis-specific RNA export hub essential for human spermatogenesis]]>
                </itunes:title>
                                    <itunes:episode>99</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Dicke A-K et al., Nature Communications - Proteomics, molecular and genetic analyses identify NXT2 as the predominant NXT protein in the human testis that binds NXF1, NXF2 and NXF3 and associates with nucleoporins. Loss-of-function variants in NXT2 are linked to azoospermia with Sertoli cell-only testes, while an NXF3 LoF causes severe sperm defects. Key terms: NXT2, NXF3, RNA export, azoospermia, spermatogenesis.</p>
<p> Study Highlights:<br />Proteomic pulldowns from adult human testis reveal NXT2 enrichment together with NXF1, testis-specific paralogs NXF2 and NXF3, and multiple nucleoporins, suggesting a testis-adapted mRNA export complex. Co-immunoprecipitation and deletion mapping show binding between NXT2 and NXF2/NXF3 is mediated by NTF2-like domains. Rare hemizygous loss-of-function variants or deletion of NXT2 were found in infertile men with non-obstructive azoospermia and predominant Sertoli cell-only histology, and an NXF3 stop-gain variant is associated with extreme oligoasthenoteratozoospermia. Functional assays in cells and tissue staining corroborate absent or truncated protein expression and link disrupted NXT2/NXF3 activity to impaired germ cell development and spermatogenesis.</p>
<p> Conclusion:<br />NXT2 is a testis-enriched core component of a human testis-adapted RNA nuclear export factor complex and loss of NXT2 function is strongly associated with disrupted germ cell development and male infertility.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />NXT2 is a key component of the RNA nuclear export factor complex in the human testis and essential for spermatogenesis</p>
<p> First author:<br />Dicke A-K</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61463-0</p>
<p> Reference:<br />Dicke A-K, Ahmedani A, Ma L, Herrmann L, van der Heijden GW, Koser SA, Krallmann C, Kalyon O, Xavier MJ, Veltman JA, Kliesch S, Neuhaus N, Kotaja N, Tüttelmann F &amp; Stallmeyer B. NXT2 is a key component of the RNA nuclear export factor complex in the human testis and essential for spermatogenesis. Nature Communications. 2025;16:6254. doi:10.1038/s41467-025-61463-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep99-nxt2-testis-rna-export</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the portions of the transcript that describe (1) the baseline RNA export pathway, (2) the NXT2-centered testis-specific export complex with NXF2/NXF3 and nucleoporins, (3) the genetic evidence from MERGE/Nijmegen cohorts linking NXT2 LoF to azoospermia and SCO, (4) the NXF3 LoF case and its phenotype, (5) LOEUF<br />- transcript topics: NXT2 as a testis-specific RNA export component; NXT2 interaction with NXF2 and NXF3 via NTF2-like domains; NXT2 predominance in adult human testis vs NXT1; Genetic evidence: NXT2 loss-of-function variants associated with azoospermia and Sertoli cell-only histology; NXF3 loss-of-function and extreme oligoasthenoteratozoospermia; Temporal expression: NXT2 in fetal germ cells; NXF3 in post-meiotic germ cells</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- NXT2 is a key component of the RNA nuclear export factor complex in the human testis<br />- NXT2 binds NXF2 and NXF3 via the NTF2-like domains; this interaction is domain-dependent<br />- NXT2 is the predominant NXT protein in the adult human testis; NXT1 is not part of the NXT2–NXF interaction network<br />- Loss-of-function variants in NXT2 are associated with azoospermia and Sertoli cell-only histology<br />- NXF3 loss-of-function variant linked to extreme oligoasthenoteratozoospermia<br />- LOEUF score for NXT2 indicates strong intolerance to loss-of-function variants</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Dicke A-K et al., Nature Communications - Proteomics, molecular and genetic analyses identify NXT2 as the predominant NXT protein in the human testis that binds NXF1, NXF2 and NXF3 and associates with nucleoporins. Loss-of-function variants in NXT2 are linked to azoospermia with Sertoli cell-only testes, while an NXF3 LoF causes severe sperm defects. Key terms: NXT2, NXF3, RNA export, azoospermia, spermatogenesis.
 Study Highlights:Proteomic pulldowns from adult human testis reveal NXT2 enrichment together with NXF1, testis-specific paralogs NXF2 and NXF3, and multiple nucleoporins, suggesting a testis-adapted mRNA export complex. Co-immunoprecipitation and deletion mapping show binding between NXT2 and NXF2/NXF3 is mediated by NTF2-like domains. Rare hemizygous loss-of-function variants or deletion of NXT2 were found in infertile men with non-obstructive azoospermia and predominant Sertoli cell-only histology, and an NXF3 stop-gain variant is associated with extreme oligoasthenoteratozoospermia. Functional assays in cells and tissue staining corroborate absent or truncated protein expression and link disrupted NXT2/NXF3 activity to impaired germ cell development and spermatogenesis.
 Conclusion:NXT2 is a testis-enriched core component of a human testis-adapted RNA nuclear export factor complex and loss of NXT2 function is strongly associated with disrupted germ cell development and male infertility.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:NXT2 is a key component of the RNA nuclear export factor complex in the human testis and essential for spermatogenesis
 First author:Dicke A-K
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61463-0
 Reference:Dicke A-K, Ahmedani A, Ma L, Herrmann L, van der Heijden GW, Koser SA, Krallmann C, Kalyon O, Xavier MJ, Veltman JA, Kliesch S, Neuhaus N, Kotaja N, Tüttelmann F & Stallmeyer B. NXT2 is a key component of the RNA nuclear export factor complex in the human testis and essential for spermatogenesis. Nature Communications. 2025;16:6254. doi:10.1038/s41467-025-61463-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep99-nxt2-testis-rna-export
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the portions of the transcript that describe (1) the baseline RNA export pathway, (2) the NXT2-centered testis-specific export complex with NXF2/NXF3 and nucleoporins, (3) the genetic evidence from MERGE/Nijmegen cohorts linking NXT2 LoF to azoospermia and SCO, (4) the NXF3 LoF case and its phenotype, (5) LOEUF- transcript topics: NXT2 as a testis-specific RNA export component; NXT2 interaction with NXF2 and NXF3 via NTF2-like domains; NXT2 predominance in adult human testis vs NXT1; Genetic evidence: NXT2 loss-of-function variants associated with azoospermia and Sertoli cell-only histology; NXF3 loss-of-function and extreme oligoasthenoteratozoospermia; Temporal expression: NXT2 in fetal germ cells; NXF3 in post-meiotic germ cells
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- met...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107512/c1a-p6xp7-4744m478tkv1-8vxm6k.png"></itunes:image>
                                                                            <itunes:duration>00:14:36</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[98: Cell Marker Accordion: Interpretable Single-Cell & Spatial Annotation]]>
                </title>
                <pubDate>Wed, 06 Aug 2025 09:43:07 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    5f124e37-1634-43fe-beaf-f777664a2120</guid>
                                    <link>https://basebybase.castos.com/episodes/cell-marker-accordion</link>
                                <description>
                                            <![CDATA[<p>Busarello E et al., Nature Communications - This episode covers the Cell Marker Accordion, an integrated marker database plus R package and Shiny app that weights marker genes by specificity and evidence consistency to deliver faster, more accurate and interpretable cell-type annotations in single-cell and spatial datasets, including disease contexts. Key terms: single-cell, spatial-omics, cell-type annotation, marker-database, disease-biomarkers.</p>
<p> Study Highlights:<br />The authors built the Cell Marker Accordion by integrating 23 marker gene sources and standardizing nomenclature to the Cell Ontology and Uberon. Markers are weighted by specificity and an evidence consistency score to produce gene- and cell-type impact metrics used for annotation. Benchmarking across multiple human and murine single-cell and spatial datasets showed an average ~23% improvement in annotation accuracy versus other marker-based tools and much faster runtimes. The tool additionally identifies disease-critical cells, extracts altered marker signatures, and highlights pathway activation and cell-cycle changes.</p>
<p> Conclusion:<br />The Cell Marker Accordion is a fast, flexible, and interpretable platform that standardizes and improves annotation of single-cell and spatial omics in health and disease, enabling detection of disease-critical cells and candidate biomarkers.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cell Marker Accordion: interpretable single-cell and spatial omics annotation in healthand disease</p>
<p> First author:<br />Busarello E</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60900-4</p>
<p> Reference:<br />Busarello E., Biancon G., Cimignolo I., et al. Cell Marker Accordion: interpretable single-cell and spatial omics annotation in healthand disease. Nature Communications (2025). DOI: 10.1038/s41467-025-60900-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cell-marker-accordion</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript segments describing the Cell Marker Accordion platform, marker weighting (SPS/ECs), use of positive/negative markers, benchmarking results (accuracy and speed), and disease-related findings (AML LHSCs, glioblastoma, MDS, METTL3 innate immunity). Cross-checked with canonical article.<br />- transcript topics: Marker database inconsistencies across reference sources; Cell Marker Accordion platform: integration and ontology standardization; Marker weighting: specificity score (SPS) and evidence consistency score (ECs); Positive and negative markers and their impact on annotation; Benchmark results: accuracy improvement and speed; Disease-focused applications and interpretable outputs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Integrates 23 marker databases and standardizes to Cell Ontology and Uberon<br />- Uses specificity score (...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Busarello E et al., Nature Communications - This episode covers the Cell Marker Accordion, an integrated marker database plus R package and Shiny app that weights marker genes by specificity and evidence consistency to deliver faster, more accurate and interpretable cell-type annotations in single-cell and spatial datasets, including disease contexts. Key terms: single-cell, spatial-omics, cell-type annotation, marker-database, disease-biomarkers.
 Study Highlights:The authors built the Cell Marker Accordion by integrating 23 marker gene sources and standardizing nomenclature to the Cell Ontology and Uberon. Markers are weighted by specificity and an evidence consistency score to produce gene- and cell-type impact metrics used for annotation. Benchmarking across multiple human and murine single-cell and spatial datasets showed an average ~23% improvement in annotation accuracy versus other marker-based tools and much faster runtimes. The tool additionally identifies disease-critical cells, extracts altered marker signatures, and highlights pathway activation and cell-cycle changes.
 Conclusion:The Cell Marker Accordion is a fast, flexible, and interpretable platform that standardizes and improves annotation of single-cell and spatial omics in health and disease, enabling detection of disease-critical cells and candidate biomarkers.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cell Marker Accordion: interpretable single-cell and spatial omics annotation in healthand disease
 First author:Busarello E
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60900-4
 Reference:Busarello E., Biancon G., Cimignolo I., et al. Cell Marker Accordion: interpretable single-cell and spatial omics annotation in healthand disease. Nature Communications (2025). DOI: 10.1038/s41467-025-60900-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cell-marker-accordion
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript segments describing the Cell Marker Accordion platform, marker weighting (SPS/ECs), use of positive/negative markers, benchmarking results (accuracy and speed), and disease-related findings (AML LHSCs, glioblastoma, MDS, METTL3 innate immunity). Cross-checked with canonical article.- transcript topics: Marker database inconsistencies across reference sources; Cell Marker Accordion platform: integration and ontology standardization; Marker weighting: specificity score (SPS) and evidence consistency score (ECs); Positive and negative markers and their impact on annotation; Benchmark results: accuracy improvement and speed; Disease-focused applications and interpretable outputs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Integrates 23 marker databases and standardizes to Cell Ontology and Uberon- Uses specificity score (...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[98: Cell Marker Accordion: Interpretable Single-Cell & Spatial Annotation]]>
                </itunes:title>
                                    <itunes:episode>98</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Busarello E et al., Nature Communications - This episode covers the Cell Marker Accordion, an integrated marker database plus R package and Shiny app that weights marker genes by specificity and evidence consistency to deliver faster, more accurate and interpretable cell-type annotations in single-cell and spatial datasets, including disease contexts. Key terms: single-cell, spatial-omics, cell-type annotation, marker-database, disease-biomarkers.</p>
<p> Study Highlights:<br />The authors built the Cell Marker Accordion by integrating 23 marker gene sources and standardizing nomenclature to the Cell Ontology and Uberon. Markers are weighted by specificity and an evidence consistency score to produce gene- and cell-type impact metrics used for annotation. Benchmarking across multiple human and murine single-cell and spatial datasets showed an average ~23% improvement in annotation accuracy versus other marker-based tools and much faster runtimes. The tool additionally identifies disease-critical cells, extracts altered marker signatures, and highlights pathway activation and cell-cycle changes.</p>
<p> Conclusion:<br />The Cell Marker Accordion is a fast, flexible, and interpretable platform that standardizes and improves annotation of single-cell and spatial omics in health and disease, enabling detection of disease-critical cells and candidate biomarkers.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cell Marker Accordion: interpretable single-cell and spatial omics annotation in healthand disease</p>
<p> First author:<br />Busarello E</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60900-4</p>
<p> Reference:<br />Busarello E., Biancon G., Cimignolo I., et al. Cell Marker Accordion: interpretable single-cell and spatial omics annotation in healthand disease. Nature Communications (2025). DOI: 10.1038/s41467-025-60900-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cell-marker-accordion</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript segments describing the Cell Marker Accordion platform, marker weighting (SPS/ECs), use of positive/negative markers, benchmarking results (accuracy and speed), and disease-related findings (AML LHSCs, glioblastoma, MDS, METTL3 innate immunity). Cross-checked with canonical article.<br />- transcript topics: Marker database inconsistencies across reference sources; Cell Marker Accordion platform: integration and ontology standardization; Marker weighting: specificity score (SPS) and evidence consistency score (ECs); Positive and negative markers and their impact on annotation; Benchmark results: accuracy improvement and speed; Disease-focused applications and interpretable outputs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Integrates 23 marker databases and standardizes to Cell Ontology and Uberon<br />- Uses specificity score (SPS) and evidence consistency score (ECs) to weight markers<br />- Considers both positive and negative markers in annotation<br />- Benchmark shows ~23% average improvement in annotation accuracy across multiple datasets and very fast runtimes (~2 minutes)<br />- Identifies disease-critical cell types and pathways (e.g., AML LHSCs, neoplastic monocytes, glioblastoma, lung adenocarcinoma, MDS, METTL3-related innate immunity)<br />- Provides interpretable outputs detailing genes/pathways driving annotations</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Busarello E et al., Nature Communications - This episode covers the Cell Marker Accordion, an integrated marker database plus R package and Shiny app that weights marker genes by specificity and evidence consistency to deliver faster, more accurate and interpretable cell-type annotations in single-cell and spatial datasets, including disease contexts. Key terms: single-cell, spatial-omics, cell-type annotation, marker-database, disease-biomarkers.
 Study Highlights:The authors built the Cell Marker Accordion by integrating 23 marker gene sources and standardizing nomenclature to the Cell Ontology and Uberon. Markers are weighted by specificity and an evidence consistency score to produce gene- and cell-type impact metrics used for annotation. Benchmarking across multiple human and murine single-cell and spatial datasets showed an average ~23% improvement in annotation accuracy versus other marker-based tools and much faster runtimes. The tool additionally identifies disease-critical cells, extracts altered marker signatures, and highlights pathway activation and cell-cycle changes.
 Conclusion:The Cell Marker Accordion is a fast, flexible, and interpretable platform that standardizes and improves annotation of single-cell and spatial omics in health and disease, enabling detection of disease-critical cells and candidate biomarkers.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cell Marker Accordion: interpretable single-cell and spatial omics annotation in healthand disease
 First author:Busarello E
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60900-4
 Reference:Busarello E., Biancon G., Cimignolo I., et al. Cell Marker Accordion: interpretable single-cell and spatial omics annotation in healthand disease. Nature Communications (2025). DOI: 10.1038/s41467-025-60900-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cell-marker-accordion
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript segments describing the Cell Marker Accordion platform, marker weighting (SPS/ECs), use of positive/negative markers, benchmarking results (accuracy and speed), and disease-related findings (AML LHSCs, glioblastoma, MDS, METTL3 innate immunity). Cross-checked with canonical article.- transcript topics: Marker database inconsistencies across reference sources; Cell Marker Accordion platform: integration and ontology standardization; Marker weighting: specificity score (SPS) and evidence consistency score (ECs); Positive and negative markers and their impact on annotation; Benchmark results: accuracy improvement and speed; Disease-focused applications and interpretable outputs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Integrates 23 marker databases and standardizes to Cell Ontology and Uberon- Uses specificity score (...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107513/c1a-p6xp7-9jggq497t41x-3ftxvp.png"></itunes:image>
                                                                            <itunes:duration>00:19:20</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[️ 97: Pancreatic Cancer Genomics: Insights from the COMPASS Trial]]>
                </title>
                <pubDate>Tue, 05 Aug 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    3f329973-5d36-496d-a6b0-34907c8e4829</guid>
                                    <link>https://basebybase.castos.com/episodes/97-pancreatic-cancer-genomics-insights-from-the-compass-trial</link>
                                <description>
                                            <![CDATA[<p>️ Episode 97: Pancreatic Cancer Genomics: Insights from the COMPASS Trial</p><p> In this episode of PaperCast Base by Base, we explore how integrated whole genome and transcriptome sequencing uncovers clinically relevant subtypes and molecular features in advanced pancreatic ductal adenocarcinoma (PDAC).</p><p> Study Highlights:</p><p>The COMPASS trial profiled 268 advanced PDAC patients, generating whole genome and RNA sequencing data before chemotherapy initiation. Distinct subgroups emerged, including KRAS wild-type cases with BRAF alterations and homologous recombination-deficient (HRD) tumors enriched for mutational signature SBS3 and high HRDetect scores. Patients with basal-like subtypes and elevated systemic inflammation (GRIm-S high) had significantly poorer outcomes, despite transcriptional signs of immune infiltration. KRAS allelic imbalance, especially major imbalances, associated with worse overall survival and higher prevalence of pre-existing diabetes.</p><p> Conclusion:</p><p>This large prospective genomic profiling effort reinforces the need for subtype-specific therapeutic strategies and shows how integrating molecular and clinical data can inform precision oncology in PDAC.</p><p> Reference:</p><p>Knox, J. J., Jang, G. H., Grant, R. C., Zhang, A., Ma, L., et al. (2025). Whole genome and transcriptome profiling in advanced pancreatic cancer patients on the COMPASS trial. Nature Communications, 16, 5919. https://doi.org/10.1038/s41467-025-60808-z</p><p> License:</p><p>This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 97: Pancreatic Cancer Genomics: Insights from the COMPASS Trial In this episode of PaperCast Base by Base, we explore how integrated whole genome and transcriptome sequencing uncovers clinically relevant subtypes and molecular features in advanced pancreatic ductal adenocarcinoma (PDAC). Study Highlights:The COMPASS trial profiled 268 advanced PDAC patients, generating whole genome and RNA sequencing data before chemotherapy initiation. Distinct subgroups emerged, including KRAS wild-type cases with BRAF alterations and homologous recombination-deficient (HRD) tumors enriched for mutational signature SBS3 and high HRDetect scores. Patients with basal-like subtypes and elevated systemic inflammation (GRIm-S high) had significantly poorer outcomes, despite transcriptional signs of immune infiltration. KRAS allelic imbalance, especially major imbalances, associated with worse overall survival and higher prevalence of pre-existing diabetes. Conclusion:This large prospective genomic profiling effort reinforces the need for subtype-specific therapeutic strategies and shows how integrating molecular and clinical data can inform precision oncology in PDAC. Reference:Knox, J. J., Jang, G. H., Grant, R. C., Zhang, A., Ma, L., et al. (2025). Whole genome and transcriptome profiling in advanced pancreatic cancer patients on the COMPASS trial. Nature Communications, 16, 5919. https://doi.org/10.1038/s41467-025-60808-z License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[️ 97: Pancreatic Cancer Genomics: Insights from the COMPASS Trial]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 97: Pancreatic Cancer Genomics: Insights from the COMPASS Trial</p><p> In this episode of PaperCast Base by Base, we explore how integrated whole genome and transcriptome sequencing uncovers clinically relevant subtypes and molecular features in advanced pancreatic ductal adenocarcinoma (PDAC).</p><p> Study Highlights:</p><p>The COMPASS trial profiled 268 advanced PDAC patients, generating whole genome and RNA sequencing data before chemotherapy initiation. Distinct subgroups emerged, including KRAS wild-type cases with BRAF alterations and homologous recombination-deficient (HRD) tumors enriched for mutational signature SBS3 and high HRDetect scores. Patients with basal-like subtypes and elevated systemic inflammation (GRIm-S high) had significantly poorer outcomes, despite transcriptional signs of immune infiltration. KRAS allelic imbalance, especially major imbalances, associated with worse overall survival and higher prevalence of pre-existing diabetes.</p><p> Conclusion:</p><p>This large prospective genomic profiling effort reinforces the need for subtype-specific therapeutic strategies and shows how integrating molecular and clinical data can inform precision oncology in PDAC.</p><p> Reference:</p><p>Knox, J. J., Jang, G. H., Grant, R. C., Zhang, A., Ma, L., et al. (2025). Whole genome and transcriptome profiling in advanced pancreatic cancer patients on the COMPASS trial. Nature Communications, 16, 5919. https://doi.org/10.1038/s41467-025-60808-z</p><p> License:</p><p>This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 97: Pancreatic Cancer Genomics: Insights from the COMPASS Trial In this episode of PaperCast Base by Base, we explore how integrated whole genome and transcriptome sequencing uncovers clinically relevant subtypes and molecular features in advanced pancreatic ductal adenocarcinoma (PDAC). Study Highlights:The COMPASS trial profiled 268 advanced PDAC patients, generating whole genome and RNA sequencing data before chemotherapy initiation. Distinct subgroups emerged, including KRAS wild-type cases with BRAF alterations and homologous recombination-deficient (HRD) tumors enriched for mutational signature SBS3 and high HRDetect scores. Patients with basal-like subtypes and elevated systemic inflammation (GRIm-S high) had significantly poorer outcomes, despite transcriptional signs of immune infiltration. KRAS allelic imbalance, especially major imbalances, associated with worse overall survival and higher prevalence of pre-existing diabetes. Conclusion:This large prospective genomic profiling effort reinforces the need for subtype-specific therapeutic strategies and shows how integrating molecular and clinical data can inform precision oncology in PDAC. Reference:Knox, J. J., Jang, G. H., Grant, R. C., Zhang, A., Ma, L., et al. (2025). Whole genome and transcriptome profiling in advanced pancreatic cancer patients on the COMPASS trial. Nature Communications, 16, 5919. https://doi.org/10.1038/s41467-025-60808-z License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107514/c1a-p6xp7-pkx830j6fp60-ddnbbx.jpg"></itunes:image>
                                                                            <itunes:duration>00:21:43</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[️ 96: Early Cerebrospinal Fluid Proteomic Changes in Down Syndrome and Alzheimer’s Disease]]>
                </title>
                <pubDate>Mon, 04 Aug 2025 22:12:19 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    bfde44a7-20ad-43c5-b9c2-1289b0901b09</guid>
                                    <link>https://basebybase.castos.com/episodes/96-early-cerebrospinal-fluid-proteomic-changes-in-down-syndrome-and-alzheimers-disease</link>
                                <description>
                                            <![CDATA[<p>️ Episode 96: Early Cerebrospinal Fluid Proteomic Changes in Down Syndrome and Alzheimer’s Disease</p><p> In this episode of PaperCast Base by Base, we explore a large-scale proteomic study comparing cerebrospinal fluid (CSF) profiles in individuals with Down Syndrome (DS), late-onset Alzheimer’s disease (LOAD), and autosomal dominant Alzheimer’s disease (ADAD). This study uncovers unique and shared molecular signatures across these conditions, with a particular focus on the early and progressive changes in DS-associated Alzheimer’s disease (DSAD).</p><p> Study Highlights:</p><p>Using tandem mass tag mass spectrometry, researchers profiled over 1000 proteins in CSF from 365 individuals, including 229 with DS across different stages of cognitive decline. They found that most proteomic alterations in DS occurred before the onset of Alzheimer’s symptoms and were linked to immune response, extracellular matrix remodeling, and plasma proteins, suggesting early disruption of the blood-brain barrier. Compared to LOAD and ADAD, DS showed earlier and more severe alterations in markers of white matter degeneration, synaptic dysfunction, and cerebral amyloid angiopathy. Protein co-expression network analysis identified modules correlated with disease progression and highlighted chromosome 21–encoded proteins and immune-related pathways as key features of DSAD. Notably, proteins like MFGE8 and NEFL changed earlier in DS than in ADAD, revealing a distinct temporal molecular trajectory.</p><p> Conclusion:</p><p>These findings demonstrate that Down Syndrome–associated Alzheimer’s disease has unique early molecular signatures that may inform tailored therapeutic approaches and improve clinical trial design.</p><p> Reference:</p><p>Johnson E.C.B., Fortea J., et al. Proteomic analysis of Down syndrome cerebrospinal fluid compared to late-onset and autosomal dominant Alzheimer’s disease. Nature Communications. 2025;16:6003. https://doi.org/10.1038/s41467-025-61054-z</p><p> License:</p><p>This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 96: Early Cerebrospinal Fluid Proteomic Changes in Down Syndrome and Alzheimer’s Disease In this episode of PaperCast Base by Base, we explore a large-scale proteomic study comparing cerebrospinal fluid (CSF) profiles in individuals with Down Syndrome (DS), late-onset Alzheimer’s disease (LOAD), and autosomal dominant Alzheimer’s disease (ADAD). This study uncovers unique and shared molecular signatures across these conditions, with a particular focus on the early and progressive changes in DS-associated Alzheimer’s disease (DSAD). Study Highlights:Using tandem mass tag mass spectrometry, researchers profiled over 1000 proteins in CSF from 365 individuals, including 229 with DS across different stages of cognitive decline. They found that most proteomic alterations in DS occurred before the onset of Alzheimer’s symptoms and were linked to immune response, extracellular matrix remodeling, and plasma proteins, suggesting early disruption of the blood-brain barrier. Compared to LOAD and ADAD, DS showed earlier and more severe alterations in markers of white matter degeneration, synaptic dysfunction, and cerebral amyloid angiopathy. Protein co-expression network analysis identified modules correlated with disease progression and highlighted chromosome 21–encoded proteins and immune-related pathways as key features of DSAD. Notably, proteins like MFGE8 and NEFL changed earlier in DS than in ADAD, revealing a distinct temporal molecular trajectory. Conclusion:These findings demonstrate that Down Syndrome–associated Alzheimer’s disease has unique early molecular signatures that may inform tailored therapeutic approaches and improve clinical trial design. Reference:Johnson E.C.B., Fortea J., et al. Proteomic analysis of Down syndrome cerebrospinal fluid compared to late-onset and autosomal dominant Alzheimer’s disease. Nature Communications. 2025;16:6003. https://doi.org/10.1038/s41467-025-61054-z License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[️ 96: Early Cerebrospinal Fluid Proteomic Changes in Down Syndrome and Alzheimer’s Disease]]>
                </itunes:title>
                                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ Episode 96: Early Cerebrospinal Fluid Proteomic Changes in Down Syndrome and Alzheimer’s Disease</p><p> In this episode of PaperCast Base by Base, we explore a large-scale proteomic study comparing cerebrospinal fluid (CSF) profiles in individuals with Down Syndrome (DS), late-onset Alzheimer’s disease (LOAD), and autosomal dominant Alzheimer’s disease (ADAD). This study uncovers unique and shared molecular signatures across these conditions, with a particular focus on the early and progressive changes in DS-associated Alzheimer’s disease (DSAD).</p><p> Study Highlights:</p><p>Using tandem mass tag mass spectrometry, researchers profiled over 1000 proteins in CSF from 365 individuals, including 229 with DS across different stages of cognitive decline. They found that most proteomic alterations in DS occurred before the onset of Alzheimer’s symptoms and were linked to immune response, extracellular matrix remodeling, and plasma proteins, suggesting early disruption of the blood-brain barrier. Compared to LOAD and ADAD, DS showed earlier and more severe alterations in markers of white matter degeneration, synaptic dysfunction, and cerebral amyloid angiopathy. Protein co-expression network analysis identified modules correlated with disease progression and highlighted chromosome 21–encoded proteins and immune-related pathways as key features of DSAD. Notably, proteins like MFGE8 and NEFL changed earlier in DS than in ADAD, revealing a distinct temporal molecular trajectory.</p><p> Conclusion:</p><p>These findings demonstrate that Down Syndrome–associated Alzheimer’s disease has unique early molecular signatures that may inform tailored therapeutic approaches and improve clinical trial design.</p><p> Reference:</p><p>Johnson E.C.B., Fortea J., et al. Proteomic analysis of Down syndrome cerebrospinal fluid compared to late-onset and autosomal dominant Alzheimer’s disease. Nature Communications. 2025;16:6003. https://doi.org/10.1038/s41467-025-61054-z</p><p> License:</p><p>This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>]]>
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                        type="audio/x-wav">
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                                <itunes:summary>
                    <![CDATA[️ Episode 96: Early Cerebrospinal Fluid Proteomic Changes in Down Syndrome and Alzheimer’s Disease In this episode of PaperCast Base by Base, we explore a large-scale proteomic study comparing cerebrospinal fluid (CSF) profiles in individuals with Down Syndrome (DS), late-onset Alzheimer’s disease (LOAD), and autosomal dominant Alzheimer’s disease (ADAD). This study uncovers unique and shared molecular signatures across these conditions, with a particular focus on the early and progressive changes in DS-associated Alzheimer’s disease (DSAD). Study Highlights:Using tandem mass tag mass spectrometry, researchers profiled over 1000 proteins in CSF from 365 individuals, including 229 with DS across different stages of cognitive decline. They found that most proteomic alterations in DS occurred before the onset of Alzheimer’s symptoms and were linked to immune response, extracellular matrix remodeling, and plasma proteins, suggesting early disruption of the blood-brain barrier. Compared to LOAD and ADAD, DS showed earlier and more severe alterations in markers of white matter degeneration, synaptic dysfunction, and cerebral amyloid angiopathy. Protein co-expression network analysis identified modules correlated with disease progression and highlighted chromosome 21–encoded proteins and immune-related pathways as key features of DSAD. Notably, proteins like MFGE8 and NEFL changed earlier in DS than in ADAD, revealing a distinct temporal molecular trajectory. Conclusion:These findings demonstrate that Down Syndrome–associated Alzheimer’s disease has unique early molecular signatures that may inform tailored therapeutic approaches and improve clinical trial design. Reference:Johnson E.C.B., Fortea J., et al. Proteomic analysis of Down syndrome cerebrospinal fluid compared to late-onset and autosomal dominant Alzheimer’s disease. Nature Communications. 2025;16:6003. https://doi.org/10.1038/s41467-025-61054-z License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107515/c1a-p6xp7-ndzjx946fzdq-vp3frp.jpg"></itunes:image>
                                                                            <itunes:duration>00:16:39</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[95: Mitochondria transfer: biotech strategies and clinical hurdles]]>
                </title>
                <pubDate>Sun, 03 Aug 2025 10:08:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    643d7c63-98d5-4d1a-8a96-779eca0b5e30</guid>
                                    <link>https://basebybase.castos.com/episodes/mitochondria-transfer-transplantation-biotech-potential</link>
                                <description>
                                            <![CDATA[<p>Kubat GB et al., Nature Communications - This Perspective surveys recent biotechnological advances that enhance mitochondria transfer and transplantation (MTT) — including surface functionalization, extracellular and engineered vesicles, hydrogels and nanomotors — and evaluates their therapeutic promise and limitations across cardiac, neural and other models. Key terms: mitochondrial transplantation, nanotechnology, extracellular vesicles, delivery systems, therapeutic potential.</p>
<p> Study Highlights:<br />The article reviews delivery strategies (CPPs, TPP/dextran coatings, EVs, liposomes, hydrogels, nanomotors) that increase mitochondrial protection, cellular uptake and tissue targeting in preclinical models. Encapsulation in EVs or lipid bilayers preserves mitochondrial integrity under Ca2+ and oxidative stress and improves functional rescue compared with naked mitochondria. Key translational barriers include immune activation, short post-isolation mitochondrial lifespan, low targeting efficiency across barriers like the BBB, and scalability and regulatory challenges.</p>
<p> Conclusion:<br />Biotechnology-enabled delivery systems substantially improve MTT efficacy in preclinical settings, but immune, mechanistic, scalability and safety issues must be resolved before routine clinical use.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Biotechnological approaches and therapeutic potential of mitochondria transfer and transplantation</p>
<p> First author:<br />Kubat GB</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61239-6</p>
<p> Reference:<br />Kubat GB, Picone P, Tuncay E, et al. Biotechnological approaches and therapeutic potential of mitochondria transfer and transplantation. Nature Communications. 2025;16:5709. doi:10.1038/s41467-025-61239-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mitochondria-transfer-transplantation-biotech-potential</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s sections describing mitochondrial transfer strategies and barriers, including surface modification, extracellular and engineered vesicles, hydrogels, and oral nanomotorized mitochondria, plus BBB/clinical translation considerations.<br />- transcript topics: Barriers to mitochondrial transplantation (immune recognition, extracellular hostile environment, barriers like the BBB); Surface modification strategies (CPPs; Pep-1; TAT-dextran; Dex-TPP coatings); Natural and engineered extracellular vesicles as delivery vehicles (EVs, AM-Mito, liposomes, synaptosomes, FMCs); Hydrogels and other local delivery systems (PF127 hydrogel, xyloglucan, alginate-based hydrogels); Oral nanomotorized mitochondria (CM/NM/Mito@Cap) and targeted cardiac delivery; BBB crossing challenges and systemic delivery limitations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Delivery strategie...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kubat GB et al., Nature Communications - This Perspective surveys recent biotechnological advances that enhance mitochondria transfer and transplantation (MTT) — including surface functionalization, extracellular and engineered vesicles, hydrogels and nanomotors — and evaluates their therapeutic promise and limitations across cardiac, neural and other models. Key terms: mitochondrial transplantation, nanotechnology, extracellular vesicles, delivery systems, therapeutic potential.
 Study Highlights:The article reviews delivery strategies (CPPs, TPP/dextran coatings, EVs, liposomes, hydrogels, nanomotors) that increase mitochondrial protection, cellular uptake and tissue targeting in preclinical models. Encapsulation in EVs or lipid bilayers preserves mitochondrial integrity under Ca2+ and oxidative stress and improves functional rescue compared with naked mitochondria. Key translational barriers include immune activation, short post-isolation mitochondrial lifespan, low targeting efficiency across barriers like the BBB, and scalability and regulatory challenges.
 Conclusion:Biotechnology-enabled delivery systems substantially improve MTT efficacy in preclinical settings, but immune, mechanistic, scalability and safety issues must be resolved before routine clinical use.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Biotechnological approaches and therapeutic potential of mitochondria transfer and transplantation
 First author:Kubat GB
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61239-6
 Reference:Kubat GB, Picone P, Tuncay E, et al. Biotechnological approaches and therapeutic potential of mitochondria transfer and transplantation. Nature Communications. 2025;16:5709. doi:10.1038/s41467-025-61239-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mitochondria-transfer-transplantation-biotech-potential
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s sections describing mitochondrial transfer strategies and barriers, including surface modification, extracellular and engineered vesicles, hydrogels, and oral nanomotorized mitochondria, plus BBB/clinical translation considerations.- transcript topics: Barriers to mitochondrial transplantation (immune recognition, extracellular hostile environment, barriers like the BBB); Surface modification strategies (CPPs; Pep-1; TAT-dextran; Dex-TPP coatings); Natural and engineered extracellular vesicles as delivery vehicles (EVs, AM-Mito, liposomes, synaptosomes, FMCs); Hydrogels and other local delivery systems (PF127 hydrogel, xyloglucan, alginate-based hydrogels); Oral nanomotorized mitochondria (CM/NM/Mito@Cap) and targeted cardiac delivery; BBB crossing challenges and systemic delivery limitations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Delivery strategie...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[95: Mitochondria transfer: biotech strategies and clinical hurdles]]>
                </itunes:title>
                                    <itunes:episode>95</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kubat GB et al., Nature Communications - This Perspective surveys recent biotechnological advances that enhance mitochondria transfer and transplantation (MTT) — including surface functionalization, extracellular and engineered vesicles, hydrogels and nanomotors — and evaluates their therapeutic promise and limitations across cardiac, neural and other models. Key terms: mitochondrial transplantation, nanotechnology, extracellular vesicles, delivery systems, therapeutic potential.</p>
<p> Study Highlights:<br />The article reviews delivery strategies (CPPs, TPP/dextran coatings, EVs, liposomes, hydrogels, nanomotors) that increase mitochondrial protection, cellular uptake and tissue targeting in preclinical models. Encapsulation in EVs or lipid bilayers preserves mitochondrial integrity under Ca2+ and oxidative stress and improves functional rescue compared with naked mitochondria. Key translational barriers include immune activation, short post-isolation mitochondrial lifespan, low targeting efficiency across barriers like the BBB, and scalability and regulatory challenges.</p>
<p> Conclusion:<br />Biotechnology-enabled delivery systems substantially improve MTT efficacy in preclinical settings, but immune, mechanistic, scalability and safety issues must be resolved before routine clinical use.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Biotechnological approaches and therapeutic potential of mitochondria transfer and transplantation</p>
<p> First author:<br />Kubat GB</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61239-6</p>
<p> Reference:<br />Kubat GB, Picone P, Tuncay E, et al. Biotechnological approaches and therapeutic potential of mitochondria transfer and transplantation. Nature Communications. 2025;16:5709. doi:10.1038/s41467-025-61239-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mitochondria-transfer-transplantation-biotech-potential</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s sections describing mitochondrial transfer strategies and barriers, including surface modification, extracellular and engineered vesicles, hydrogels, and oral nanomotorized mitochondria, plus BBB/clinical translation considerations.<br />- transcript topics: Barriers to mitochondrial transplantation (immune recognition, extracellular hostile environment, barriers like the BBB); Surface modification strategies (CPPs; Pep-1; TAT-dextran; Dex-TPP coatings); Natural and engineered extracellular vesicles as delivery vehicles (EVs, AM-Mito, liposomes, synaptosomes, FMCs); Hydrogels and other local delivery systems (PF127 hydrogel, xyloglucan, alginate-based hydrogels); Oral nanomotorized mitochondria (CM/NM/Mito@Cap) and targeted cardiac delivery; BBB crossing challenges and systemic delivery limitations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Delivery strategies summarized: surface modification, extracellular vesicles, engineered vesicles, hydrogels, and oral nanomotors<br />- Exogenous mitochondria can fuse with host mitochondrial networks or be degraded via lysosomal pathways<br />- Oral nanomotorized mitochondria achieved ~7.9% cardiac tissue delivery versus ~1.0% for non-motorized controls<br />- Pep-1 and TAT-based surface modifications increase uptake; Dex-TPP coating reduces negative surface charge and enhances internalization<br />- AM-Mito encapsulation efficiency reported as ~86% with higher neuronal uptake<br />- EV encapsulation preserves mitochondrial function under Ca2+ and ROS stress for up to ~24 hours</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Kubat GB et al., Nature Communications - This Perspective surveys recent biotechnological advances that enhance mitochondria transfer and transplantation (MTT) — including surface functionalization, extracellular and engineered vesicles, hydrogels and nanomotors — and evaluates their therapeutic promise and limitations across cardiac, neural and other models. Key terms: mitochondrial transplantation, nanotechnology, extracellular vesicles, delivery systems, therapeutic potential.
 Study Highlights:The article reviews delivery strategies (CPPs, TPP/dextran coatings, EVs, liposomes, hydrogels, nanomotors) that increase mitochondrial protection, cellular uptake and tissue targeting in preclinical models. Encapsulation in EVs or lipid bilayers preserves mitochondrial integrity under Ca2+ and oxidative stress and improves functional rescue compared with naked mitochondria. Key translational barriers include immune activation, short post-isolation mitochondrial lifespan, low targeting efficiency across barriers like the BBB, and scalability and regulatory challenges.
 Conclusion:Biotechnology-enabled delivery systems substantially improve MTT efficacy in preclinical settings, but immune, mechanistic, scalability and safety issues must be resolved before routine clinical use.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Biotechnological approaches and therapeutic potential of mitochondria transfer and transplantation
 First author:Kubat GB
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61239-6
 Reference:Kubat GB, Picone P, Tuncay E, et al. Biotechnological approaches and therapeutic potential of mitochondria transfer and transplantation. Nature Communications. 2025;16:5709. doi:10.1038/s41467-025-61239-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mitochondria-transfer-transplantation-biotech-potential
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s sections describing mitochondrial transfer strategies and barriers, including surface modification, extracellular and engineered vesicles, hydrogels, and oral nanomotorized mitochondria, plus BBB/clinical translation considerations.- transcript topics: Barriers to mitochondrial transplantation (immune recognition, extracellular hostile environment, barriers like the BBB); Surface modification strategies (CPPs; Pep-1; TAT-dextran; Dex-TPP coatings); Natural and engineered extracellular vesicles as delivery vehicles (EVs, AM-Mito, liposomes, synaptosomes, FMCs); Hydrogels and other local delivery systems (PF127 hydrogel, xyloglucan, alginate-based hydrogels); Oral nanomotorized mitochondria (CM/NM/Mito@Cap) and targeted cardiac delivery; BBB crossing challenges and systemic delivery limitations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Delivery strategie...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107516/c1a-p6xp7-qdpprr3nin30-z4hdx7.png"></itunes:image>
                                                                            <itunes:duration>00:19:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[94: Intraindividual epigenetic heterogeneity in advanced prostate cancer]]>
                </title>
                <pubDate>Sat, 02 Aug 2025 10:05:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    8143baa5-5b08-403e-9373-ab46d134e2f0</guid>
                                    <link>https://basebybase.castos.com/episodes/ep94-intraindividual-epigenetic-heterogeneity-advanced-prostate-cancer</link>
                                <description>
                                            <![CDATA[<p>Mizuno K et al., Nature Communications - Multi-omic profiling (DNA methylation, RNA-seq, H3K27ac and H3K27me3) of 98 metastatic CRPC samples from 35 patients reveals patient-specific epigenetic signatures and methylation-driven regulation of lineage genes and therapeutic targets. Integrative analyses identify &gt;21,000 region–gene links and highlight intraindividual heterogeneity including double-negative tumors with BMP4 signaling or immune-high profiles. Key terms: DNA methylation, castration-resistant prostate cancer, neuroendocrine prostate cancer, H3K27ac/H3K27me3, epigenetic heterogeneity.</p>
<p> Study Highlights:<br />The study profiled 98 metastatic tumor samples from 35 patients using RRBS/ERRBS, RNA-seq and H3K27ac/H3K27me3 ChIP-seq or CUT&amp;Tag and found DNA methylation patterns were generally conserved within patients across metastases. Integrative analyses produced 21,721 significant methylation region–gene links implicating epigenetic regulation of lineage genes (e.g., ASCL1, AR) and therapeutic targets (PSMA, DLL3, STEAP1, B7-H3). Five patients showed intraindividual molecular subtype heterogeneity, and double-negative CRPC samples segregated into BMP4-activated or immune-enriched subsets. Functional inhibition of BMP4 signaling reduced viability in a DN model cell line (DU145), supporting pathway relevance.</p>
<p> Conclusion:<br />Integration of DNA methylation with transcriptomic and histone mark data reveals patient-specific epigenetic landscapes that drive phenotypic diversity in advanced prostate cancer and identify methylation-linked mechanisms regulating lineage programs and therapeutic target expression, with potential implications for biomarker development and targeted therapy selection.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer</p>
<p> First author:<br />Mizuno K</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60654-z</p>
<p> Reference:<br />Mizuno K., Ku S-Y., Venkadakrishnan VB., et al. Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer. Nature Communications (2025). DOI: https://doi.org/10.1038/s41467-025-60654-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep94-intraindividual-epigenetic-heterogeneity-advanced-prostate-cancer</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited portions describing study design and cohorts, multi-omics methods, DNA methylation–gene expression links, intraindividual heterogeneity and subtypes, BMP4/immune pathways, and BMP4 inhibition functional data.<br />- transcript topics: Study cohort and rapid autopsy samples; Multi-omics profiling (RRBS/ERRBS, RNA-seq, H3K27ac, H3K27me3, CUT&amp;Tag/ChIP-seq); DNA methylation–gene expression links and epigenetic regulation; Intraindividual heterogeneity and molecular subtypes (AR+/NE-, AR-/NE-, double-negative); BMP4 signaling and immune-high double-negative CRPC; Functional validation of BMP4 pathway inhibition in DU145 (LDN-193189)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- sup...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Mizuno K et al., Nature Communications - Multi-omic profiling (DNA methylation, RNA-seq, H3K27ac and H3K27me3) of 98 metastatic CRPC samples from 35 patients reveals patient-specific epigenetic signatures and methylation-driven regulation of lineage genes and therapeutic targets. Integrative analyses identify >21,000 region–gene links and highlight intraindividual heterogeneity including double-negative tumors with BMP4 signaling or immune-high profiles. Key terms: DNA methylation, castration-resistant prostate cancer, neuroendocrine prostate cancer, H3K27ac/H3K27me3, epigenetic heterogeneity.
 Study Highlights:The study profiled 98 metastatic tumor samples from 35 patients using RRBS/ERRBS, RNA-seq and H3K27ac/H3K27me3 ChIP-seq or CUT&Tag and found DNA methylation patterns were generally conserved within patients across metastases. Integrative analyses produced 21,721 significant methylation region–gene links implicating epigenetic regulation of lineage genes (e.g., ASCL1, AR) and therapeutic targets (PSMA, DLL3, STEAP1, B7-H3). Five patients showed intraindividual molecular subtype heterogeneity, and double-negative CRPC samples segregated into BMP4-activated or immune-enriched subsets. Functional inhibition of BMP4 signaling reduced viability in a DN model cell line (DU145), supporting pathway relevance.
 Conclusion:Integration of DNA methylation with transcriptomic and histone mark data reveals patient-specific epigenetic landscapes that drive phenotypic diversity in advanced prostate cancer and identify methylation-linked mechanisms regulating lineage programs and therapeutic target expression, with potential implications for biomarker development and targeted therapy selection.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer
 First author:Mizuno K
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60654-z
 Reference:Mizuno K., Ku S-Y., Venkadakrishnan VB., et al. Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer. Nature Communications (2025). DOI: https://doi.org/10.1038/s41467-025-60654-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep94-intraindividual-epigenetic-heterogeneity-advanced-prostate-cancer
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited portions describing study design and cohorts, multi-omics methods, DNA methylation–gene expression links, intraindividual heterogeneity and subtypes, BMP4/immune pathways, and BMP4 inhibition functional data.- transcript topics: Study cohort and rapid autopsy samples; Multi-omics profiling (RRBS/ERRBS, RNA-seq, H3K27ac, H3K27me3, CUT&Tag/ChIP-seq); DNA methylation–gene expression links and epigenetic regulation; Intraindividual heterogeneity and molecular subtypes (AR+/NE-, AR-/NE-, double-negative); BMP4 signaling and immune-high double-negative CRPC; Functional validation of BMP4 pathway inhibition in DU145 (LDN-193189)
QC Summary:- factual score: 10/10- metadata score: 10/10- sup...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[94: Intraindividual epigenetic heterogeneity in advanced prostate cancer]]>
                </itunes:title>
                                    <itunes:episode>94</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Mizuno K et al., Nature Communications - Multi-omic profiling (DNA methylation, RNA-seq, H3K27ac and H3K27me3) of 98 metastatic CRPC samples from 35 patients reveals patient-specific epigenetic signatures and methylation-driven regulation of lineage genes and therapeutic targets. Integrative analyses identify &gt;21,000 region–gene links and highlight intraindividual heterogeneity including double-negative tumors with BMP4 signaling or immune-high profiles. Key terms: DNA methylation, castration-resistant prostate cancer, neuroendocrine prostate cancer, H3K27ac/H3K27me3, epigenetic heterogeneity.</p>
<p> Study Highlights:<br />The study profiled 98 metastatic tumor samples from 35 patients using RRBS/ERRBS, RNA-seq and H3K27ac/H3K27me3 ChIP-seq or CUT&amp;Tag and found DNA methylation patterns were generally conserved within patients across metastases. Integrative analyses produced 21,721 significant methylation region–gene links implicating epigenetic regulation of lineage genes (e.g., ASCL1, AR) and therapeutic targets (PSMA, DLL3, STEAP1, B7-H3). Five patients showed intraindividual molecular subtype heterogeneity, and double-negative CRPC samples segregated into BMP4-activated or immune-enriched subsets. Functional inhibition of BMP4 signaling reduced viability in a DN model cell line (DU145), supporting pathway relevance.</p>
<p> Conclusion:<br />Integration of DNA methylation with transcriptomic and histone mark data reveals patient-specific epigenetic landscapes that drive phenotypic diversity in advanced prostate cancer and identify methylation-linked mechanisms regulating lineage programs and therapeutic target expression, with potential implications for biomarker development and targeted therapy selection.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer</p>
<p> First author:<br />Mizuno K</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60654-z</p>
<p> Reference:<br />Mizuno K., Ku S-Y., Venkadakrishnan VB., et al. Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer. Nature Communications (2025). DOI: https://doi.org/10.1038/s41467-025-60654-z</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep94-intraindividual-epigenetic-heterogeneity-advanced-prostate-cancer</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited portions describing study design and cohorts, multi-omics methods, DNA methylation–gene expression links, intraindividual heterogeneity and subtypes, BMP4/immune pathways, and BMP4 inhibition functional data.<br />- transcript topics: Study cohort and rapid autopsy samples; Multi-omics profiling (RRBS/ERRBS, RNA-seq, H3K27ac, H3K27me3, CUT&amp;Tag/ChIP-seq); DNA methylation–gene expression links and epigenetic regulation; Intraindividual heterogeneity and molecular subtypes (AR+/NE-, AR-/NE-, double-negative); BMP4 signaling and immune-high double-negative CRPC; Functional validation of BMP4 pathway inhibition in DU145 (LDN-193189)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 98 tumor samples from 35 patients were analyzed (including 21 rapid autopsies).<br />- Multi-omic profiling was performed using RRBS/ERRBS, RNA-seq, and histone marks H3K27ac/H3K27me3 (ChIP-seq/CUT&amp;Tag).<br />- 21,721 significant region–gene links connecting DNA methylation to gene expression were identified.<br />- Global DNA methylation patterns were generally conserved across metastases within the same patient; intraindividual heterogeneity observed in five patients with different subtypes<br />- Double-negative CRPC (AR−/NE−) tumors exhibited two distinct pathways: BMP4 signaling activation and immune-high signatures.<br />- LDN-193189 (BMP4 receptor inhibitor) reduced DU145 cell viability by 68% and decreased phospho-SMAD1/5 levels.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Mizuno K et al., Nature Communications - Multi-omic profiling (DNA methylation, RNA-seq, H3K27ac and H3K27me3) of 98 metastatic CRPC samples from 35 patients reveals patient-specific epigenetic signatures and methylation-driven regulation of lineage genes and therapeutic targets. Integrative analyses identify >21,000 region–gene links and highlight intraindividual heterogeneity including double-negative tumors with BMP4 signaling or immune-high profiles. Key terms: DNA methylation, castration-resistant prostate cancer, neuroendocrine prostate cancer, H3K27ac/H3K27me3, epigenetic heterogeneity.
 Study Highlights:The study profiled 98 metastatic tumor samples from 35 patients using RRBS/ERRBS, RNA-seq and H3K27ac/H3K27me3 ChIP-seq or CUT&Tag and found DNA methylation patterns were generally conserved within patients across metastases. Integrative analyses produced 21,721 significant methylation region–gene links implicating epigenetic regulation of lineage genes (e.g., ASCL1, AR) and therapeutic targets (PSMA, DLL3, STEAP1, B7-H3). Five patients showed intraindividual molecular subtype heterogeneity, and double-negative CRPC samples segregated into BMP4-activated or immune-enriched subsets. Functional inhibition of BMP4 signaling reduced viability in a DN model cell line (DU145), supporting pathway relevance.
 Conclusion:Integration of DNA methylation with transcriptomic and histone mark data reveals patient-specific epigenetic landscapes that drive phenotypic diversity in advanced prostate cancer and identify methylation-linked mechanisms regulating lineage programs and therapeutic target expression, with potential implications for biomarker development and targeted therapy selection.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer
 First author:Mizuno K
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60654-z
 Reference:Mizuno K., Ku S-Y., Venkadakrishnan VB., et al. Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer. Nature Communications (2025). DOI: https://doi.org/10.1038/s41467-025-60654-z
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep94-intraindividual-epigenetic-heterogeneity-advanced-prostate-cancer
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited portions describing study design and cohorts, multi-omics methods, DNA methylation–gene expression links, intraindividual heterogeneity and subtypes, BMP4/immune pathways, and BMP4 inhibition functional data.- transcript topics: Study cohort and rapid autopsy samples; Multi-omics profiling (RRBS/ERRBS, RNA-seq, H3K27ac, H3K27me3, CUT&Tag/ChIP-seq); DNA methylation–gene expression links and epigenetic regulation; Intraindividual heterogeneity and molecular subtypes (AR+/NE-, AR-/NE-, double-negative); BMP4 signaling and immune-high double-negative CRPC; Functional validation of BMP4 pathway inhibition in DU145 (LDN-193189)
QC Summary:- factual score: 10/10- metadata score: 10/10- sup...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107517/c1a-p6xp7-ww4700nra81k-ac4vx3.png"></itunes:image>
                                                                            <itunes:duration>00:20:29</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[93: Bovine H5N1 Shows Neurovirulence in Mice]]>
                </title>
                <pubDate>Fri, 01 Aug 2025 10:04:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    5fe2117d-5bf8-4c5b-a52d-738c75672f81</guid>
                                    <link>https://basebybase.castos.com/episodes/base-by-base-ep93-h5n1-bovine-neurovirulence</link>
                                <description>
                                            <![CDATA[<p>Tipih T et al., Nature Communications - Comparative mouse study finds a dairy-cow-derived H5N1 clade 2.3.4.4b (genotype B3.13) isolate is highly virulent, producing rapid respiratory failure, systemic spread, and neurologic disease with high lung and brain viral loads and inflammatory responses. Key terms: H5N1, clade 2.3.4.4b, bovine isolate, neuroinvasion, mouse model.</p>
<p> Study Highlights:<br />Researchers compared bovine, mountain lion, mink and reference VN1203 H5N1 isolates in C57BL/6J and BALB/c mice using intranasal and orogastric inoculation. The bovine isolate caused uniformly lethal, rapid disease and clear neurologic signs in C57BL/6J mice with high lung and brain titers. Brain tissue from bovine-isolate infected mice showed elevated pro-inflammatory cytokines despite limited histologic lesions. BALB/c mice were more susceptible to respiratory disease but showed less neurologic manifestation, indicating strain-dependent outcomes.</p>
<p> Conclusion:<br />A bovine clade 2.3.4.4b H5N1 isolate (genotype B3.13) demonstrates enhanced neuroinvasion and virulence in mice, supporting the use of C57BL/6J and BALB/c models for countermeasure testing and highlighting the need to monitor mammalian-adapted phenotypes.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Highly pathogenic avian influenza H5N1 clade 2.3.4.4b genotype B3.13 is highly virulent for mice, rapidly causing acute pulmonary and neurologic disease</p>
<p> First author:<br />Tipih T</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60407-y</p>
<p> Reference:<br />Tipih T., Mariaappan V., Yinda K.C., Meade-White K., Lewis M., Okumura A., McCarthy N., Altynova E., Leventhal S.S., Bushmaker T., Clancy C.S., de Wit E., Munster V.J., Feldmann H. &amp; Rosenke K. Highly pathogenic avian influenza H5N1 clade 2.3.4.4b genotype B3.13 is highly virulent for mice, rapidly causing acute pulmonary and neurologic disease. Nature Communications (2025) 16:5738. DOI: 10.1038/s41467-025-60407-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-ep93-h5n1-bovine-neurovirulence</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-01.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of the article's key experimental design (two mouse strains, two infection routes), main results (bovine isolate virulence, neuroinvasion, brain viral loads, cytokine response, tissue tropism, LD50), genetic determinants (M1/NS1 mutations; absence of PB2 E627K; NA stalk status), and pu<br />- transcript topics: Background and public health context of H5N1 clade 2.3.4.4b; Experimental design: mouse strains, infection routes, and isolates; Bovine isolate virulence and neuropathogenesis in mice; Brain infection without histological brain lesions and cytokine responses; Tissue tropism and systemic infection (lung, brain, blood); Genetic determinants of virulence (M1/NS1 mutations; PB2 E627K absence; NA stalk; NS1 deletion absence)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- articl...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Tipih T et al., Nature Communications - Comparative mouse study finds a dairy-cow-derived H5N1 clade 2.3.4.4b (genotype B3.13) isolate is highly virulent, producing rapid respiratory failure, systemic spread, and neurologic disease with high lung and brain viral loads and inflammatory responses. Key terms: H5N1, clade 2.3.4.4b, bovine isolate, neuroinvasion, mouse model.
 Study Highlights:Researchers compared bovine, mountain lion, mink and reference VN1203 H5N1 isolates in C57BL/6J and BALB/c mice using intranasal and orogastric inoculation. The bovine isolate caused uniformly lethal, rapid disease and clear neurologic signs in C57BL/6J mice with high lung and brain titers. Brain tissue from bovine-isolate infected mice showed elevated pro-inflammatory cytokines despite limited histologic lesions. BALB/c mice were more susceptible to respiratory disease but showed less neurologic manifestation, indicating strain-dependent outcomes.
 Conclusion:A bovine clade 2.3.4.4b H5N1 isolate (genotype B3.13) demonstrates enhanced neuroinvasion and virulence in mice, supporting the use of C57BL/6J and BALB/c models for countermeasure testing and highlighting the need to monitor mammalian-adapted phenotypes.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Highly pathogenic avian influenza H5N1 clade 2.3.4.4b genotype B3.13 is highly virulent for mice, rapidly causing acute pulmonary and neurologic disease
 First author:Tipih T
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60407-y
 Reference:Tipih T., Mariaappan V., Yinda K.C., Meade-White K., Lewis M., Okumura A., McCarthy N., Altynova E., Leventhal S.S., Bushmaker T., Clancy C.S., de Wit E., Munster V.J., Feldmann H. & Rosenke K. Highly pathogenic avian influenza H5N1 clade 2.3.4.4b genotype B3.13 is highly virulent for mice, rapidly causing acute pulmonary and neurologic disease. Nature Communications (2025) 16:5738. DOI: 10.1038/s41467-025-60407-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-ep93-h5n1-bovine-neurovirulence
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-01.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of the article's key experimental design (two mouse strains, two infection routes), main results (bovine isolate virulence, neuroinvasion, brain viral loads, cytokine response, tissue tropism, LD50), genetic determinants (M1/NS1 mutations; absence of PB2 E627K; NA stalk status), and pu- transcript topics: Background and public health context of H5N1 clade 2.3.4.4b; Experimental design: mouse strains, infection routes, and isolates; Bovine isolate virulence and neuropathogenesis in mice; Brain infection without histological brain lesions and cytokine responses; Tissue tropism and systemic infection (lung, brain, blood); Genetic determinants of virulence (M1/NS1 mutations; PB2 E627K absence; NA stalk; NS1 deletion absence)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- articl...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[93: Bovine H5N1 Shows Neurovirulence in Mice]]>
                </itunes:title>
                                    <itunes:episode>93</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Tipih T et al., Nature Communications - Comparative mouse study finds a dairy-cow-derived H5N1 clade 2.3.4.4b (genotype B3.13) isolate is highly virulent, producing rapid respiratory failure, systemic spread, and neurologic disease with high lung and brain viral loads and inflammatory responses. Key terms: H5N1, clade 2.3.4.4b, bovine isolate, neuroinvasion, mouse model.</p>
<p> Study Highlights:<br />Researchers compared bovine, mountain lion, mink and reference VN1203 H5N1 isolates in C57BL/6J and BALB/c mice using intranasal and orogastric inoculation. The bovine isolate caused uniformly lethal, rapid disease and clear neurologic signs in C57BL/6J mice with high lung and brain titers. Brain tissue from bovine-isolate infected mice showed elevated pro-inflammatory cytokines despite limited histologic lesions. BALB/c mice were more susceptible to respiratory disease but showed less neurologic manifestation, indicating strain-dependent outcomes.</p>
<p> Conclusion:<br />A bovine clade 2.3.4.4b H5N1 isolate (genotype B3.13) demonstrates enhanced neuroinvasion and virulence in mice, supporting the use of C57BL/6J and BALB/c models for countermeasure testing and highlighting the need to monitor mammalian-adapted phenotypes.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Highly pathogenic avian influenza H5N1 clade 2.3.4.4b genotype B3.13 is highly virulent for mice, rapidly causing acute pulmonary and neurologic disease</p>
<p> First author:<br />Tipih T</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60407-y</p>
<p> Reference:<br />Tipih T., Mariaappan V., Yinda K.C., Meade-White K., Lewis M., Okumura A., McCarthy N., Altynova E., Leventhal S.S., Bushmaker T., Clancy C.S., de Wit E., Munster V.J., Feldmann H. &amp; Rosenke K. Highly pathogenic avian influenza H5N1 clade 2.3.4.4b genotype B3.13 is highly virulent for mice, rapidly causing acute pulmonary and neurologic disease. Nature Communications (2025) 16:5738. DOI: 10.1038/s41467-025-60407-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-ep93-h5n1-bovine-neurovirulence</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-01.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of the article's key experimental design (two mouse strains, two infection routes), main results (bovine isolate virulence, neuroinvasion, brain viral loads, cytokine response, tissue tropism, LD50), genetic determinants (M1/NS1 mutations; absence of PB2 E627K; NA stalk status), and pu<br />- transcript topics: Background and public health context of H5N1 clade 2.3.4.4b; Experimental design: mouse strains, infection routes, and isolates; Bovine isolate virulence and neuropathogenesis in mice; Brain infection without histological brain lesions and cytokine responses; Tissue tropism and systemic infection (lung, brain, blood); Genetic determinants of virulence (M1/NS1 mutations; PB2 E627K absence; NA stalk; NS1 deletion absence)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Bovine OH/2024 isolate caused rapid, uniform lethality in mice via intranasal and orogastric routes<br />- Neuroinvasion occurred in C57BL/6J mice with high brain viral loads and pro-inflammatory cytokine responses, and neurologic signs<br />- BALB/c mice showed faster fatal respiratory disease but fewer neurologic signs than C57BL/6J mice<br />- LD50 for bovine isolate: 1.8 TCID50 in BALB/c; 3.2 TCID50 in C57BL/6J<br />- Orogastric exposure resulted in systemic infection and was lethal for the bovine isolate<br />- Bovine isolate harbors mutations in M1 (e.g., 30D, 43M, 215A) and NS1 (e.g., 42S, 103F, 106M); lacks PB2 E627K mutation and NS1 linker deletion; NA stalk region is full-length</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Tipih T et al., Nature Communications - Comparative mouse study finds a dairy-cow-derived H5N1 clade 2.3.4.4b (genotype B3.13) isolate is highly virulent, producing rapid respiratory failure, systemic spread, and neurologic disease with high lung and brain viral loads and inflammatory responses. Key terms: H5N1, clade 2.3.4.4b, bovine isolate, neuroinvasion, mouse model.
 Study Highlights:Researchers compared bovine, mountain lion, mink and reference VN1203 H5N1 isolates in C57BL/6J and BALB/c mice using intranasal and orogastric inoculation. The bovine isolate caused uniformly lethal, rapid disease and clear neurologic signs in C57BL/6J mice with high lung and brain titers. Brain tissue from bovine-isolate infected mice showed elevated pro-inflammatory cytokines despite limited histologic lesions. BALB/c mice were more susceptible to respiratory disease but showed less neurologic manifestation, indicating strain-dependent outcomes.
 Conclusion:A bovine clade 2.3.4.4b H5N1 isolate (genotype B3.13) demonstrates enhanced neuroinvasion and virulence in mice, supporting the use of C57BL/6J and BALB/c models for countermeasure testing and highlighting the need to monitor mammalian-adapted phenotypes.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Highly pathogenic avian influenza H5N1 clade 2.3.4.4b genotype B3.13 is highly virulent for mice, rapidly causing acute pulmonary and neurologic disease
 First author:Tipih T
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60407-y
 Reference:Tipih T., Mariaappan V., Yinda K.C., Meade-White K., Lewis M., Okumura A., McCarthy N., Altynova E., Leventhal S.S., Bushmaker T., Clancy C.S., de Wit E., Munster V.J., Feldmann H. & Rosenke K. Highly pathogenic avian influenza H5N1 clade 2.3.4.4b genotype B3.13 is highly virulent for mice, rapidly causing acute pulmonary and neurologic disease. Nature Communications (2025) 16:5738. DOI: 10.1038/s41467-025-60407-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-ep93-h5n1-bovine-neurovirulence
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-08-01.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of the article's key experimental design (two mouse strains, two infection routes), main results (bovine isolate virulence, neuroinvasion, brain viral loads, cytokine response, tissue tropism, LD50), genetic determinants (M1/NS1 mutations; absence of PB2 E627K; NA stalk status), and pu- transcript topics: Background and public health context of H5N1 clade 2.3.4.4b; Experimental design: mouse strains, infection routes, and isolates; Bovine isolate virulence and neuropathogenesis in mice; Brain infection without histological brain lesions and cytokine responses; Tissue tropism and systemic infection (lung, brain, blood); Genetic determinants of virulence (M1/NS1 mutations; PB2 E627K absence; NA stalk; NS1 deletion absence)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- articl...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107518/c1a-p6xp7-ok0p5j00aw27-rwh3v5.png"></itunes:image>
                                                                            <itunes:duration>00:19:01</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[92: Loss of CFHR5 Function Lowers AMD Risk]]>
                </title>
                <pubDate>Thu, 31 Jul 2025 10:02:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    c85ebe57-e608-42d8-9f52-40e56b70bbb7</guid>
                                    <link>https://basebybase.castos.com/episodes/cfhr5-loss-reduces-amd-risk</link>
                                <description>
                                            <![CDATA[<p>Nature Communications - A FinnGen-based genetic and functional study identifies CFHR5 loss-of-function variants as independently protective against age-related macular degeneration and links reduced FHR-5 to altered complement activity and preserved photoreceptor structure. Key terms: CFHR5, age-related macular degeneration, FinnGen, complement system, FHR-5.</p>
<p> Study Highlights:<br />A GWAS and fine-mapping in 12,495 AMD cases and 461,686 controls deconvoluted four protective CFH-region haplotypes, two of which are driven by CFHR5 coding variants enriched in Finns. Carriers of a CFHR5 frameshift show dose-dependent loss of circulating FHR-5 and reduced FHR-2 and FHR-4 levels confirmed by SomaScan and Western blot. Functional assays indicate increased classical and alternative complement pathway activation capacity in CFHR5 frameshift homozygotes. UK Biobank retinal OCT analyses show CFHR5 loss-of-function carriers have photoreceptor layer changes consistent with protection from AMD.</p>
<p> Conclusion:<br />Genetic loss of CFHR5 function reduces FHR-5 levels, modulates complement activation, associates with protective retinal morphology, and identifies FHR-5 downregulation as a promising therapeutic target for AMD.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Loss of CFHR5 function reduces the risk for age-related macular degeneration</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61193-3</p>
<p> Reference:<br />https://doi.org/10.1038/s41467-025-61193-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cfhr5-loss-reduces-amd-risk</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-31.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the sections describing CFHR5 loss-of-function (fs), dose-dependent FHR-5 reduction and FHR-2/FHR-4 reductions, increased CP/AP complement activation, thicker photoreceptor layers on OCT, recall-by-genotype proteomics, and therapeutic implications; excluded non-scientific intro/outro and unrelated material.<br />- transcript topics: Overview of age-related macular degeneration (AMD) and forms; CFH/CFHR gene locus and CFHR5 focus; FinnGen cohort, population bottlenecks, and fine-mapping; CFHR5 frameshift variant and dose-dependent protein reductions; Proteomics: SomaScan measurements of FHR proteins; Complement pathways activation (classical, alternative, LP)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CFHR5 frameshift (fs) variant carriers show dose-dependent reductions in FHR-5 serum levels<br />- CFHR5 fs carriers also exhibit reduced levels of FHR-2 and FHR-4<br />- CFHR5 fs carriers have higher capacity to activate classical and alternative complement pathways<br />- CFHR5 fs carriers show thicker/healthier photoreceptor layers on OCT imaging<br />- Recall-by-genotype study in FinnGen with ~399 participants; AMD protection linked to CFHR5 fs<br />- CFH haplotypes contribute major AMD risk...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nature Communications - A FinnGen-based genetic and functional study identifies CFHR5 loss-of-function variants as independently protective against age-related macular degeneration and links reduced FHR-5 to altered complement activity and preserved photoreceptor structure. Key terms: CFHR5, age-related macular degeneration, FinnGen, complement system, FHR-5.
 Study Highlights:A GWAS and fine-mapping in 12,495 AMD cases and 461,686 controls deconvoluted four protective CFH-region haplotypes, two of which are driven by CFHR5 coding variants enriched in Finns. Carriers of a CFHR5 frameshift show dose-dependent loss of circulating FHR-5 and reduced FHR-2 and FHR-4 levels confirmed by SomaScan and Western blot. Functional assays indicate increased classical and alternative complement pathway activation capacity in CFHR5 frameshift homozygotes. UK Biobank retinal OCT analyses show CFHR5 loss-of-function carriers have photoreceptor layer changes consistent with protection from AMD.
 Conclusion:Genetic loss of CFHR5 function reduces FHR-5 levels, modulates complement activation, associates with protective retinal morphology, and identifies FHR-5 downregulation as a promising therapeutic target for AMD.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Loss of CFHR5 function reduces the risk for age-related macular degeneration
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61193-3
 Reference:https://doi.org/10.1038/s41467-025-61193-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cfhr5-loss-reduces-amd-risk
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-31.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the sections describing CFHR5 loss-of-function (fs), dose-dependent FHR-5 reduction and FHR-2/FHR-4 reductions, increased CP/AP complement activation, thicker photoreceptor layers on OCT, recall-by-genotype proteomics, and therapeutic implications; excluded non-scientific intro/outro and unrelated material.- transcript topics: Overview of age-related macular degeneration (AMD) and forms; CFH/CFHR gene locus and CFHR5 focus; FinnGen cohort, population bottlenecks, and fine-mapping; CFHR5 frameshift variant and dose-dependent protein reductions; Proteomics: SomaScan measurements of FHR proteins; Complement pathways activation (classical, alternative, LP)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CFHR5 frameshift (fs) variant carriers show dose-dependent reductions in FHR-5 serum levels- CFHR5 fs carriers also exhibit reduced levels of FHR-2 and FHR-4- CFHR5 fs carriers have higher capacity to activate classical and alternative complement pathways- CFHR5 fs carriers show thicker/healthier photoreceptor layers on OCT imaging- Recall-by-genotype study in FinnGen with ~399 participants; AMD protection linked to CFHR5 fs- CFH haplotypes contribute major AMD risk...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[92: Loss of CFHR5 Function Lowers AMD Risk]]>
                </itunes:title>
                                    <itunes:episode>92</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nature Communications - A FinnGen-based genetic and functional study identifies CFHR5 loss-of-function variants as independently protective against age-related macular degeneration and links reduced FHR-5 to altered complement activity and preserved photoreceptor structure. Key terms: CFHR5, age-related macular degeneration, FinnGen, complement system, FHR-5.</p>
<p> Study Highlights:<br />A GWAS and fine-mapping in 12,495 AMD cases and 461,686 controls deconvoluted four protective CFH-region haplotypes, two of which are driven by CFHR5 coding variants enriched in Finns. Carriers of a CFHR5 frameshift show dose-dependent loss of circulating FHR-5 and reduced FHR-2 and FHR-4 levels confirmed by SomaScan and Western blot. Functional assays indicate increased classical and alternative complement pathway activation capacity in CFHR5 frameshift homozygotes. UK Biobank retinal OCT analyses show CFHR5 loss-of-function carriers have photoreceptor layer changes consistent with protection from AMD.</p>
<p> Conclusion:<br />Genetic loss of CFHR5 function reduces FHR-5 levels, modulates complement activation, associates with protective retinal morphology, and identifies FHR-5 downregulation as a promising therapeutic target for AMD.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Loss of CFHR5 function reduces the risk for age-related macular degeneration</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61193-3</p>
<p> Reference:<br />https://doi.org/10.1038/s41467-025-61193-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cfhr5-loss-reduces-amd-risk</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-31.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the sections describing CFHR5 loss-of-function (fs), dose-dependent FHR-5 reduction and FHR-2/FHR-4 reductions, increased CP/AP complement activation, thicker photoreceptor layers on OCT, recall-by-genotype proteomics, and therapeutic implications; excluded non-scientific intro/outro and unrelated material.<br />- transcript topics: Overview of age-related macular degeneration (AMD) and forms; CFH/CFHR gene locus and CFHR5 focus; FinnGen cohort, population bottlenecks, and fine-mapping; CFHR5 frameshift variant and dose-dependent protein reductions; Proteomics: SomaScan measurements of FHR proteins; Complement pathways activation (classical, alternative, LP)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CFHR5 frameshift (fs) variant carriers show dose-dependent reductions in FHR-5 serum levels<br />- CFHR5 fs carriers also exhibit reduced levels of FHR-2 and FHR-4<br />- CFHR5 fs carriers have higher capacity to activate classical and alternative complement pathways<br />- CFHR5 fs carriers show thicker/healthier photoreceptor layers on OCT imaging<br />- Recall-by-genotype study in FinnGen with ~399 participants; AMD protection linked to CFHR5 fs<br />- CFH haplotypes contribute major AMD risk signals; CFHR5 signals show independent, additive protection</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Nature Communications - A FinnGen-based genetic and functional study identifies CFHR5 loss-of-function variants as independently protective against age-related macular degeneration and links reduced FHR-5 to altered complement activity and preserved photoreceptor structure. Key terms: CFHR5, age-related macular degeneration, FinnGen, complement system, FHR-5.
 Study Highlights:A GWAS and fine-mapping in 12,495 AMD cases and 461,686 controls deconvoluted four protective CFH-region haplotypes, two of which are driven by CFHR5 coding variants enriched in Finns. Carriers of a CFHR5 frameshift show dose-dependent loss of circulating FHR-5 and reduced FHR-2 and FHR-4 levels confirmed by SomaScan and Western blot. Functional assays indicate increased classical and alternative complement pathway activation capacity in CFHR5 frameshift homozygotes. UK Biobank retinal OCT analyses show CFHR5 loss-of-function carriers have photoreceptor layer changes consistent with protection from AMD.
 Conclusion:Genetic loss of CFHR5 function reduces FHR-5 levels, modulates complement activation, associates with protective retinal morphology, and identifies FHR-5 downregulation as a promising therapeutic target for AMD.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Loss of CFHR5 function reduces the risk for age-related macular degeneration
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61193-3
 Reference:https://doi.org/10.1038/s41467-025-61193-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cfhr5-loss-reduces-amd-risk
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-31.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the sections describing CFHR5 loss-of-function (fs), dose-dependent FHR-5 reduction and FHR-2/FHR-4 reductions, increased CP/AP complement activation, thicker photoreceptor layers on OCT, recall-by-genotype proteomics, and therapeutic implications; excluded non-scientific intro/outro and unrelated material.- transcript topics: Overview of age-related macular degeneration (AMD) and forms; CFH/CFHR gene locus and CFHR5 focus; FinnGen cohort, population bottlenecks, and fine-mapping; CFHR5 frameshift variant and dose-dependent protein reductions; Proteomics: SomaScan measurements of FHR proteins; Complement pathways activation (classical, alternative, LP)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CFHR5 frameshift (fs) variant carriers show dose-dependent reductions in FHR-5 serum levels- CFHR5 fs carriers also exhibit reduced levels of FHR-2 and FHR-4- CFHR5 fs carriers have higher capacity to activate classical and alternative complement pathways- CFHR5 fs carriers show thicker/healthier photoreceptor layers on OCT imaging- Recall-by-genotype study in FinnGen with ~399 participants; AMD protection linked to CFHR5 fs- CFH haplotypes contribute major AMD risk...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107519/c1a-p6xp7-5zq3md3pa541-rylkcn.png"></itunes:image>
                                                                            <itunes:duration>00:16:49</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[91: Plasma N‑Glycome, Liver Disease & Anti‑inflammatory Proteins]]>
                </title>
                <pubDate>Wed, 30 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    f4de9dfa-3902-43b9-8831-474a6ade5784</guid>
                                    <link>https://basebybase.castos.com/episodes/ep91-plasma-n-glycome-liver-links</link>
                                <description>
                                            <![CDATA[<p>Sharapov S et al., Nature Communications - This episode examines a large multi-cohort GWAS of the human plasma N-glycome (N≈10,764) that maps genetic regulation of protein N‑glycosylation. The study doubles known glyQTLs, prioritizes candidate genes expressed in liver and lymphoid tissue, integrates glycomics, proteomics and transcriptomics, and explores links to metabolic, liver and inflammatory diseases. Listeners will hear how tissue-specific regulatory networks and Mendelian randomization analyses nominate glycan biomarkers and mechanistic leads. Key terms: N-glycosylation, GWAS, liver disease, glycoproteins, glycomics.</p>
<p> Study Highlights:<br />Researchers performed the largest GWAS/meta-analysis of total plasma N-glycome in ~10,000 people and identified 40 replicated glyQTLs, including 25 loci newly associated with total plasma N-glycosylation. Using eight prioritization criteria they nominated 31 candidate genes and highlighted 13 novel genes—such as GCKR, TRIB1, HP, SERPINA1 and CFH—predominantly expressed in liver and linked to lipid metabolism and anti-inflammatory proteins. Network and colocalization analyses revealed strong tissue-specific regulation separating liver-secreted and immunoglobulin-linked glycans, and polygenic-score and Mendelian-randomization analyses connected high‑mannose glycans to lipid disorders and M6 glycans to asthma. The integrated resource supports discovery of glycan-based biomarkers and provides mechanistic hypotheses connecting glycosylation, liver disease, and inflammation.</p>
<p> Conclusion:<br />A comprehensive GWAS and multi-omics integration reveal extensive, tissue-specific genetic regulation of plasma N-glycosylation, nominate novel liver- and inflammation-related genes, and provide candidate glycan biomarkers and causal links to metabolic, liver and immune-related diseases.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins</p>
<p> First author:<br />Sharapov S</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60431-y</p>
<p> Reference:<br />Sharapov S, Timoshchuk A, Zaytseva O, et al. A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins. Nature Communications. 2025;16:5525. doi:10.1038/s41467-025-60431-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep91-plasma-n-glycome-liver-links</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s coverage of glycosylation biology, study design and scale, glyQTL discovery and gene prioritization, tissue-specific regulation, Mendelian randomization and causal links to disease, biomarkers (A3G3S3/AST), and study limitations.<br />- transcript topics: Basics of protein N-glycosylation and glycans; Study design: GWAS meta-analysis of total plasma N-glycome; GlyQTL discovery and candidate gene prioritization; Tissue-specific regulation in liver vs immunoglobulins (lymphoid tissue); Mendelian randomization and causal links to liver, cardiovascular, and respiratory diseases; Biomarkers:...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sharapov S et al., Nature Communications - This episode examines a large multi-cohort GWAS of the human plasma N-glycome (N≈10,764) that maps genetic regulation of protein N‑glycosylation. The study doubles known glyQTLs, prioritizes candidate genes expressed in liver and lymphoid tissue, integrates glycomics, proteomics and transcriptomics, and explores links to metabolic, liver and inflammatory diseases. Listeners will hear how tissue-specific regulatory networks and Mendelian randomization analyses nominate glycan biomarkers and mechanistic leads. Key terms: N-glycosylation, GWAS, liver disease, glycoproteins, glycomics.
 Study Highlights:Researchers performed the largest GWAS/meta-analysis of total plasma N-glycome in ~10,000 people and identified 40 replicated glyQTLs, including 25 loci newly associated with total plasma N-glycosylation. Using eight prioritization criteria they nominated 31 candidate genes and highlighted 13 novel genes—such as GCKR, TRIB1, HP, SERPINA1 and CFH—predominantly expressed in liver and linked to lipid metabolism and anti-inflammatory proteins. Network and colocalization analyses revealed strong tissue-specific regulation separating liver-secreted and immunoglobulin-linked glycans, and polygenic-score and Mendelian-randomization analyses connected high‑mannose glycans to lipid disorders and M6 glycans to asthma. The integrated resource supports discovery of glycan-based biomarkers and provides mechanistic hypotheses connecting glycosylation, liver disease, and inflammation.
 Conclusion:A comprehensive GWAS and multi-omics integration reveal extensive, tissue-specific genetic regulation of plasma N-glycosylation, nominate novel liver- and inflammation-related genes, and provide candidate glycan biomarkers and causal links to metabolic, liver and immune-related diseases.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins
 First author:Sharapov S
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60431-y
 Reference:Sharapov S, Timoshchuk A, Zaytseva O, et al. A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins. Nature Communications. 2025;16:5525. doi:10.1038/s41467-025-60431-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep91-plasma-n-glycome-liver-links
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s coverage of glycosylation biology, study design and scale, glyQTL discovery and gene prioritization, tissue-specific regulation, Mendelian randomization and causal links to disease, biomarkers (A3G3S3/AST), and study limitations.- transcript topics: Basics of protein N-glycosylation and glycans; Study design: GWAS meta-analysis of total plasma N-glycome; GlyQTL discovery and candidate gene prioritization; Tissue-specific regulation in liver vs immunoglobulins (lymphoid tissue); Mendelian randomization and causal links to liver, cardiovascular, and respiratory diseases; Biomarkers:...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[91: Plasma N‑Glycome, Liver Disease & Anti‑inflammatory Proteins]]>
                </itunes:title>
                                    <itunes:episode>91</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sharapov S et al., Nature Communications - This episode examines a large multi-cohort GWAS of the human plasma N-glycome (N≈10,764) that maps genetic regulation of protein N‑glycosylation. The study doubles known glyQTLs, prioritizes candidate genes expressed in liver and lymphoid tissue, integrates glycomics, proteomics and transcriptomics, and explores links to metabolic, liver and inflammatory diseases. Listeners will hear how tissue-specific regulatory networks and Mendelian randomization analyses nominate glycan biomarkers and mechanistic leads. Key terms: N-glycosylation, GWAS, liver disease, glycoproteins, glycomics.</p>
<p> Study Highlights:<br />Researchers performed the largest GWAS/meta-analysis of total plasma N-glycome in ~10,000 people and identified 40 replicated glyQTLs, including 25 loci newly associated with total plasma N-glycosylation. Using eight prioritization criteria they nominated 31 candidate genes and highlighted 13 novel genes—such as GCKR, TRIB1, HP, SERPINA1 and CFH—predominantly expressed in liver and linked to lipid metabolism and anti-inflammatory proteins. Network and colocalization analyses revealed strong tissue-specific regulation separating liver-secreted and immunoglobulin-linked glycans, and polygenic-score and Mendelian-randomization analyses connected high‑mannose glycans to lipid disorders and M6 glycans to asthma. The integrated resource supports discovery of glycan-based biomarkers and provides mechanistic hypotheses connecting glycosylation, liver disease, and inflammation.</p>
<p> Conclusion:<br />A comprehensive GWAS and multi-omics integration reveal extensive, tissue-specific genetic regulation of plasma N-glycosylation, nominate novel liver- and inflammation-related genes, and provide candidate glycan biomarkers and causal links to metabolic, liver and immune-related diseases.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins</p>
<p> First author:<br />Sharapov S</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60431-y</p>
<p> Reference:<br />Sharapov S, Timoshchuk A, Zaytseva O, et al. A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins. Nature Communications. 2025;16:5525. doi:10.1038/s41467-025-60431-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep91-plasma-n-glycome-liver-links</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript’s coverage of glycosylation biology, study design and scale, glyQTL discovery and gene prioritization, tissue-specific regulation, Mendelian randomization and causal links to disease, biomarkers (A3G3S3/AST), and study limitations.<br />- transcript topics: Basics of protein N-glycosylation and glycans; Study design: GWAS meta-analysis of total plasma N-glycome; GlyQTL discovery and candidate gene prioritization; Tissue-specific regulation in liver vs immunoglobulins (lymphoid tissue); Mendelian randomization and causal links to liver, cardiovascular, and respiratory diseases; Biomarkers: A3G3S3 and AST</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Total participants ~10,764 across seven studies; predominantly European ancestry<br />- 117 N-glycome traits analyzed (36 measured, 81 derived)<br />- 40 glyQTLs identified; 25 novel loci; 16 novel loci discovered; 13 prioritized genes (e.g., GCKR, TRIB1, HP, SERPINA1, CFH)<br />- Two tissue-specific regulatory subnetworks: liver-produced glycans vs immunoglobulin glycans; FUT8 shows tissue-specific regulation with distinct mechanisms<br />- Mendelian randomization indicates causal links: lipoprotein metabolism disorders affect M9/Mtotal; M6 glycan associated with asthma; bidirectional analyses<br />- A3G3S3 glycan associated with AST as a potential biomarker for liver pathogenesis</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Sharapov S et al., Nature Communications - This episode examines a large multi-cohort GWAS of the human plasma N-glycome (N≈10,764) that maps genetic regulation of protein N‑glycosylation. The study doubles known glyQTLs, prioritizes candidate genes expressed in liver and lymphoid tissue, integrates glycomics, proteomics and transcriptomics, and explores links to metabolic, liver and inflammatory diseases. Listeners will hear how tissue-specific regulatory networks and Mendelian randomization analyses nominate glycan biomarkers and mechanistic leads. Key terms: N-glycosylation, GWAS, liver disease, glycoproteins, glycomics.
 Study Highlights:Researchers performed the largest GWAS/meta-analysis of total plasma N-glycome in ~10,000 people and identified 40 replicated glyQTLs, including 25 loci newly associated with total plasma N-glycosylation. Using eight prioritization criteria they nominated 31 candidate genes and highlighted 13 novel genes—such as GCKR, TRIB1, HP, SERPINA1 and CFH—predominantly expressed in liver and linked to lipid metabolism and anti-inflammatory proteins. Network and colocalization analyses revealed strong tissue-specific regulation separating liver-secreted and immunoglobulin-linked glycans, and polygenic-score and Mendelian-randomization analyses connected high‑mannose glycans to lipid disorders and M6 glycans to asthma. The integrated resource supports discovery of glycan-based biomarkers and provides mechanistic hypotheses connecting glycosylation, liver disease, and inflammation.
 Conclusion:A comprehensive GWAS and multi-omics integration reveal extensive, tissue-specific genetic regulation of plasma N-glycosylation, nominate novel liver- and inflammation-related genes, and provide candidate glycan biomarkers and causal links to metabolic, liver and immune-related diseases.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins
 First author:Sharapov S
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60431-y
 Reference:Sharapov S, Timoshchuk A, Zaytseva O, et al. A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins. Nature Communications. 2025;16:5525. doi:10.1038/s41467-025-60431-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep91-plasma-n-glycome-liver-links
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript’s coverage of glycosylation biology, study design and scale, glyQTL discovery and gene prioritization, tissue-specific regulation, Mendelian randomization and causal links to disease, biomarkers (A3G3S3/AST), and study limitations.- transcript topics: Basics of protein N-glycosylation and glycans; Study design: GWAS meta-analysis of total plasma N-glycome; GlyQTL discovery and candidate gene prioritization; Tissue-specific regulation in liver vs immunoglobulins (lymphoid tissue); Mendelian randomization and causal links to liver, cardiovascular, and respiratory diseases; Biomarkers:...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107520/c1a-p6xp7-kpojznj3ijkj-1sfxww.png"></itunes:image>
                                                                            <itunes:duration>00:17:42</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[90: Sex, APOE-ε4 and TREM2: Who drives tau in medial temporal and neocortex?]]>
                </title>
                <pubDate>Tue, 29 Jul 2025 09:58:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    ad2026cb-0684-4c55-9449-4ddc2cf0e7d6</guid>
                                    <link>https://basebybase.castos.com/episodes/ep90-sex-apoe4-trem2-tau-deposition</link>
                                <description>
                                            <![CDATA[<p>Giorgio J et al., Nature Communications - A multi-cohort neuroimaging and genetics study (n=1,354) used PET and causal path modelling to test how sex, APOE-ε4 dosage and TREM2 rare variants influence stages of the canonical amyloid→tau cascade, focusing on entorhinal (EC) and neocortical (MetaTemp) tau. Key terms: APOE-ε4, TREM2, entorhinal tau, amyloid-beta, sex differences.</p>
<p> Study Highlights:<br />Using ADNI, A4 and HABS-HD cohorts, the authors show that females and APOE-ε4 homozygotes have greater entorhinal tau for a given level of amyloid-beta. APOE-ε4 homozygosity and TREM2 risk-variant carriership are linked to increased spread of tau from entorhinal cortex into neocortex. Interactions among APOE-ε4, TREM2 and sex modulate mediation along the Aβ→EC tau→MetaTemp tau pathway, with replication across cohorts.</p>
<p> Conclusion:<br />Genetic traits—female sex, APOE-ε4 homozygosity and TREM2 risk variants—produce heterogeneous effects at distinct stages of the amyloid-driven tau cascade: females and APOE-ε4 homozygotes are more susceptible to primary EC tau accumulation for a given Aβ burden, while APOE-ε4 homozygosity and TREM2 variants promote greater neocortical tau spread, with implications for individualized timing of anti-Aβ and anti-tau therapies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Variable and interactive effects of Sex, APOE ε4 and TREM2 on the deposition of tau in entorhinal and neocortical regions</p>
<p> First author:<br />Giorgio J</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60370-8</p>
<p> Reference:<br />Giorgio J, Jonson C, Wang Y, Yokoyama JS, Wang J, Jagust WJ, et al. Variable and interactive effects of Sex, APOE ε4 and TREM2 on the deposition of tau in entorhinal and neocortical regions. Nature Communications. 2025;16:5812. doi:10.1038/s41467-025-60370-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep90-sex-apoe4-trem2-tau-deposition</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-29.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the canonical amyloid→tau cascade, genetic modifiers (sex, APOE-ε4, TREM2), their interactions with amyloid, and therapeutic implications; cross-checked against the canonical Nature Communications article.<br />- transcript topics: Sex differences in entorhinal cortex tau accumulation for a given amyloid level; APOE-ε4 dose effects on entorhinal and neocortical tau; TREM2 risk variants and microglial dysfunction in tau spread; Interactions: APOE-ε4 × Aβ and sex × Aβ on tau pathology; Clinical implications for anti-amyloid/anti-tau therapies and personalized medicine</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 4<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Canonical AD cascade: amyloid-β initiates tau accumulation in the entorhinal cortex (EC) and tau spreads to the neocortex<br />- Females show greater EC tau for a given level of amyloid than males<br />- APOE-ε...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Giorgio J et al., Nature Communications - A multi-cohort neuroimaging and genetics study (n=1,354) used PET and causal path modelling to test how sex, APOE-ε4 dosage and TREM2 rare variants influence stages of the canonical amyloid→tau cascade, focusing on entorhinal (EC) and neocortical (MetaTemp) tau. Key terms: APOE-ε4, TREM2, entorhinal tau, amyloid-beta, sex differences.
 Study Highlights:Using ADNI, A4 and HABS-HD cohorts, the authors show that females and APOE-ε4 homozygotes have greater entorhinal tau for a given level of amyloid-beta. APOE-ε4 homozygosity and TREM2 risk-variant carriership are linked to increased spread of tau from entorhinal cortex into neocortex. Interactions among APOE-ε4, TREM2 and sex modulate mediation along the Aβ→EC tau→MetaTemp tau pathway, with replication across cohorts.
 Conclusion:Genetic traits—female sex, APOE-ε4 homozygosity and TREM2 risk variants—produce heterogeneous effects at distinct stages of the amyloid-driven tau cascade: females and APOE-ε4 homozygotes are more susceptible to primary EC tau accumulation for a given Aβ burden, while APOE-ε4 homozygosity and TREM2 variants promote greater neocortical tau spread, with implications for individualized timing of anti-Aβ and anti-tau therapies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Variable and interactive effects of Sex, APOE ε4 and TREM2 on the deposition of tau in entorhinal and neocortical regions
 First author:Giorgio J
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60370-8
 Reference:Giorgio J, Jonson C, Wang Y, Yokoyama JS, Wang J, Jagust WJ, et al. Variable and interactive effects of Sex, APOE ε4 and TREM2 on the deposition of tau in entorhinal and neocortical regions. Nature Communications. 2025;16:5812. doi:10.1038/s41467-025-60370-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep90-sex-apoe4-trem2-tau-deposition
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-29.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the canonical amyloid→tau cascade, genetic modifiers (sex, APOE-ε4, TREM2), their interactions with amyloid, and therapeutic implications; cross-checked against the canonical Nature Communications article.- transcript topics: Sex differences in entorhinal cortex tau accumulation for a given amyloid level; APOE-ε4 dose effects on entorhinal and neocortical tau; TREM2 risk variants and microglial dysfunction in tau spread; Interactions: APOE-ε4 × Aβ and sex × Aβ on tau pathology; Clinical implications for anti-amyloid/anti-tau therapies and personalized medicine
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 4- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Canonical AD cascade: amyloid-β initiates tau accumulation in the entorhinal cortex (EC) and tau spreads to the neocortex- Females show greater EC tau for a given level of amyloid than males- APOE-ε...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[90: Sex, APOE-ε4 and TREM2: Who drives tau in medial temporal and neocortex?]]>
                </itunes:title>
                                    <itunes:episode>90</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Giorgio J et al., Nature Communications - A multi-cohort neuroimaging and genetics study (n=1,354) used PET and causal path modelling to test how sex, APOE-ε4 dosage and TREM2 rare variants influence stages of the canonical amyloid→tau cascade, focusing on entorhinal (EC) and neocortical (MetaTemp) tau. Key terms: APOE-ε4, TREM2, entorhinal tau, amyloid-beta, sex differences.</p>
<p> Study Highlights:<br />Using ADNI, A4 and HABS-HD cohorts, the authors show that females and APOE-ε4 homozygotes have greater entorhinal tau for a given level of amyloid-beta. APOE-ε4 homozygosity and TREM2 risk-variant carriership are linked to increased spread of tau from entorhinal cortex into neocortex. Interactions among APOE-ε4, TREM2 and sex modulate mediation along the Aβ→EC tau→MetaTemp tau pathway, with replication across cohorts.</p>
<p> Conclusion:<br />Genetic traits—female sex, APOE-ε4 homozygosity and TREM2 risk variants—produce heterogeneous effects at distinct stages of the amyloid-driven tau cascade: females and APOE-ε4 homozygotes are more susceptible to primary EC tau accumulation for a given Aβ burden, while APOE-ε4 homozygosity and TREM2 variants promote greater neocortical tau spread, with implications for individualized timing of anti-Aβ and anti-tau therapies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Variable and interactive effects of Sex, APOE ε4 and TREM2 on the deposition of tau in entorhinal and neocortical regions</p>
<p> First author:<br />Giorgio J</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60370-8</p>
<p> Reference:<br />Giorgio J, Jonson C, Wang Y, Yokoyama JS, Wang J, Jagust WJ, et al. Variable and interactive effects of Sex, APOE ε4 and TREM2 on the deposition of tau in entorhinal and neocortical regions. Nature Communications. 2025;16:5812. doi:10.1038/s41467-025-60370-8</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep90-sex-apoe4-trem2-tau-deposition</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-29.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the canonical amyloid→tau cascade, genetic modifiers (sex, APOE-ε4, TREM2), their interactions with amyloid, and therapeutic implications; cross-checked against the canonical Nature Communications article.<br />- transcript topics: Sex differences in entorhinal cortex tau accumulation for a given amyloid level; APOE-ε4 dose effects on entorhinal and neocortical tau; TREM2 risk variants and microglial dysfunction in tau spread; Interactions: APOE-ε4 × Aβ and sex × Aβ on tau pathology; Clinical implications for anti-amyloid/anti-tau therapies and personalized medicine</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 4<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Canonical AD cascade: amyloid-β initiates tau accumulation in the entorhinal cortex (EC) and tau spreads to the neocortex<br />- Females show greater EC tau for a given level of amyloid than males<br />- APOE-ε4 homozygosity increases primary EC tau and promotes neocortical (MetaTemp) tau spread<br />- TREM2 risk variants exacerbate tau spread and interact with APOE-ε4 on tau burden<br />- APOE-ε4 × Aβ and sex × Aβ interactions modulate EC tau levels<br />- Findings replicated across discovery and replication cohorts; cross-sectional design noted as a limitation</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Giorgio J et al., Nature Communications - A multi-cohort neuroimaging and genetics study (n=1,354) used PET and causal path modelling to test how sex, APOE-ε4 dosage and TREM2 rare variants influence stages of the canonical amyloid→tau cascade, focusing on entorhinal (EC) and neocortical (MetaTemp) tau. Key terms: APOE-ε4, TREM2, entorhinal tau, amyloid-beta, sex differences.
 Study Highlights:Using ADNI, A4 and HABS-HD cohorts, the authors show that females and APOE-ε4 homozygotes have greater entorhinal tau for a given level of amyloid-beta. APOE-ε4 homozygosity and TREM2 risk-variant carriership are linked to increased spread of tau from entorhinal cortex into neocortex. Interactions among APOE-ε4, TREM2 and sex modulate mediation along the Aβ→EC tau→MetaTemp tau pathway, with replication across cohorts.
 Conclusion:Genetic traits—female sex, APOE-ε4 homozygosity and TREM2 risk variants—produce heterogeneous effects at distinct stages of the amyloid-driven tau cascade: females and APOE-ε4 homozygotes are more susceptible to primary EC tau accumulation for a given Aβ burden, while APOE-ε4 homozygosity and TREM2 variants promote greater neocortical tau spread, with implications for individualized timing of anti-Aβ and anti-tau therapies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Variable and interactive effects of Sex, APOE ε4 and TREM2 on the deposition of tau in entorhinal and neocortical regions
 First author:Giorgio J
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60370-8
 Reference:Giorgio J, Jonson C, Wang Y, Yokoyama JS, Wang J, Jagust WJ, et al. Variable and interactive effects of Sex, APOE ε4 and TREM2 on the deposition of tau in entorhinal and neocortical regions. Nature Communications. 2025;16:5812. doi:10.1038/s41467-025-60370-8
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep90-sex-apoe4-trem2-tau-deposition
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-29.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the canonical amyloid→tau cascade, genetic modifiers (sex, APOE-ε4, TREM2), their interactions with amyloid, and therapeutic implications; cross-checked against the canonical Nature Communications article.- transcript topics: Sex differences in entorhinal cortex tau accumulation for a given amyloid level; APOE-ε4 dose effects on entorhinal and neocortical tau; TREM2 risk variants and microglial dysfunction in tau spread; Interactions: APOE-ε4 × Aβ and sex × Aβ on tau pathology; Clinical implications for anti-amyloid/anti-tau therapies and personalized medicine
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 4- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Canonical AD cascade: amyloid-β initiates tau accumulation in the entorhinal cortex (EC) and tau spreads to the neocortex- Females show greater EC tau for a given level of amyloid than males- APOE-ε...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107521/c1a-p6xp7-dmj19x16i8mk-rm1khx.png"></itunes:image>
                                                                            <itunes:duration>00:15:57</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[89: Genetics of Smell and Sex Differences]]>
                </title>
                <pubDate>Mon, 28 Jul 2025 09:56:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    7ca33069-550f-480d-b277-dcd46ea4e490</guid>
                                    <link>https://basebybase.castos.com/episodes/base-by-base-ep89-olfactory-gwas-sex-differences</link>
                                <description>
                                            <![CDATA[<p>Förster F et al., Nature Communications - This GWAMA of up to 21,495 European-ancestry participants used the Sniffin' Sticks odour identification test to map genetic variants influencing identification of twelve odours and an identification score. The study reports ten independent loci (seven novel), sex-stratified effects, and a Mendelian randomization finding that Alzheimer's genetic risk negatively affects smell identification. Key terms: olfaction, GWAS, sex-specific genetics, olfactory receptors, Mendelian randomization.</p>
<p> Study Highlights:<br />A meta-analysis across four cohorts (n≤21,495) tested identification of twelve Sniffin' Sticks odours and a total identification score. Ten independent loci reached genome-wide significance, seven of them novel, with most loci located in olfactory receptor clusters and other plausible candidates (e.g., ADCY2). Sex-stratified analyses identified female-specific loci and one sex-differential locus, with candidate genes showing predicted androgen response elements. Two-sample Mendelian randomization detected a negative causal effect of Alzheimer's disease genetic risk on the identification score while sex hormones showed no robust causal effect.</p>
<p> Conclusion:<br />The study adds seven novel loci for odour identification, reveals sex-specific genetic effects at multiple loci, and provides evidence that genetic risk for Alzheimer's disease contributes to poorer global olfactory identification; further molecular and larger cross-ancestry studies are needed to extend these findings.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome-wide association meta-analysis of human olfactory identification discovers sex-specific and sex-differential genetic variants</p>
<p> First author:<br />Förster F</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61330-y</p>
<p> Reference:<br />Förster F., Emmert D., Horn K., et al. Genome-wide association meta-analysis of human olfactory identification discovers sex-specific and sex-differential genetic variants. Nature Communications (2025). DOI: https://doi.org/10.1038/s41467-025-61330-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-ep89-olfactory-gwas-sex-differences</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of the article's methods and results: GWAMA findings (ten loci, seven novel, two female-specific, one sex-differential), candidate genes (ADCY2, OR clusters, TAAR5, FBXL17, OR11H7), the pineapple odor driving the overall score, sex-differentiation mechanisms (AREs), Mendelian randomiza<br />- transcript topics: Sniffin' Sticks test and scoring; Genome-wide association meta-analysis (GWAMA) and loci; Loci near olfactory receptor (OR) clusters and candidate genes; Pineapple odor driving the global identification score; Sex-specific and sex-differential SNP effects and androgen/estrogen regulatory elements; Mendelian randomization: hormones and neurodegenerative diseases</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Förster F et al., Nature Communications - This GWAMA of up to 21,495 European-ancestry participants used the Sniffin' Sticks odour identification test to map genetic variants influencing identification of twelve odours and an identification score. The study reports ten independent loci (seven novel), sex-stratified effects, and a Mendelian randomization finding that Alzheimer's genetic risk negatively affects smell identification. Key terms: olfaction, GWAS, sex-specific genetics, olfactory receptors, Mendelian randomization.
 Study Highlights:A meta-analysis across four cohorts (n≤21,495) tested identification of twelve Sniffin' Sticks odours and a total identification score. Ten independent loci reached genome-wide significance, seven of them novel, with most loci located in olfactory receptor clusters and other plausible candidates (e.g., ADCY2). Sex-stratified analyses identified female-specific loci and one sex-differential locus, with candidate genes showing predicted androgen response elements. Two-sample Mendelian randomization detected a negative causal effect of Alzheimer's disease genetic risk on the identification score while sex hormones showed no robust causal effect.
 Conclusion:The study adds seven novel loci for odour identification, reveals sex-specific genetic effects at multiple loci, and provides evidence that genetic risk for Alzheimer's disease contributes to poorer global olfactory identification; further molecular and larger cross-ancestry studies are needed to extend these findings.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome-wide association meta-analysis of human olfactory identification discovers sex-specific and sex-differential genetic variants
 First author:Förster F
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61330-y
 Reference:Förster F., Emmert D., Horn K., et al. Genome-wide association meta-analysis of human olfactory identification discovers sex-specific and sex-differential genetic variants. Nature Communications (2025). DOI: https://doi.org/10.1038/s41467-025-61330-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-ep89-olfactory-gwas-sex-differences
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of the article's methods and results: GWAMA findings (ten loci, seven novel, two female-specific, one sex-differential), candidate genes (ADCY2, OR clusters, TAAR5, FBXL17, OR11H7), the pineapple odor driving the overall score, sex-differentiation mechanisms (AREs), Mendelian randomiza- transcript topics: Sniffin' Sticks test and scoring; Genome-wide association meta-analysis (GWAMA) and loci; Loci near olfactory receptor (OR) clusters and candidate genes; Pineapple odor driving the global identification score; Sex-specific and sex-differential SNP effects and androgen/estrogen regulatory elements; Mendelian randomization: hormones and neurodegenerative diseases
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[89: Genetics of Smell and Sex Differences]]>
                </itunes:title>
                                    <itunes:episode>89</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Förster F et al., Nature Communications - This GWAMA of up to 21,495 European-ancestry participants used the Sniffin' Sticks odour identification test to map genetic variants influencing identification of twelve odours and an identification score. The study reports ten independent loci (seven novel), sex-stratified effects, and a Mendelian randomization finding that Alzheimer's genetic risk negatively affects smell identification. Key terms: olfaction, GWAS, sex-specific genetics, olfactory receptors, Mendelian randomization.</p>
<p> Study Highlights:<br />A meta-analysis across four cohorts (n≤21,495) tested identification of twelve Sniffin' Sticks odours and a total identification score. Ten independent loci reached genome-wide significance, seven of them novel, with most loci located in olfactory receptor clusters and other plausible candidates (e.g., ADCY2). Sex-stratified analyses identified female-specific loci and one sex-differential locus, with candidate genes showing predicted androgen response elements. Two-sample Mendelian randomization detected a negative causal effect of Alzheimer's disease genetic risk on the identification score while sex hormones showed no robust causal effect.</p>
<p> Conclusion:<br />The study adds seven novel loci for odour identification, reveals sex-specific genetic effects at multiple loci, and provides evidence that genetic risk for Alzheimer's disease contributes to poorer global olfactory identification; further molecular and larger cross-ancestry studies are needed to extend these findings.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome-wide association meta-analysis of human olfactory identification discovers sex-specific and sex-differential genetic variants</p>
<p> First author:<br />Förster F</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61330-y</p>
<p> Reference:<br />Förster F., Emmert D., Horn K., et al. Genome-wide association meta-analysis of human olfactory identification discovers sex-specific and sex-differential genetic variants. Nature Communications (2025). DOI: https://doi.org/10.1038/s41467-025-61330-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-ep89-olfactory-gwas-sex-differences</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of the article's methods and results: GWAMA findings (ten loci, seven novel, two female-specific, one sex-differential), candidate genes (ADCY2, OR clusters, TAAR5, FBXL17, OR11H7), the pineapple odor driving the overall score, sex-differentiation mechanisms (AREs), Mendelian randomiza<br />- transcript topics: Sniffin' Sticks test and scoring; Genome-wide association meta-analysis (GWAMA) and loci; Loci near olfactory receptor (OR) clusters and candidate genes; Pineapple odor driving the global identification score; Sex-specific and sex-differential SNP effects and androgen/estrogen regulatory elements; Mendelian randomization: hormones and neurodegenerative diseases</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Ten independent loci associated with odour identification; seven novel loci.<br />- Loci predominantly located near olfactory receptor (OR) gene clusters and GPCR/neural function genes.<br />- Two loci are female-specific and one locus is sex-differential (different by sex).<br />- ADCY2 highlighted as a female-specific candidate near locus 2 (orange odor).<br />- ADCY3 appears as a suggestive locus near 2p23.3 with potential relevance to cinnamon or general olfactory signaling.<br />- Pineapple odor drives the overall identification score; removing pineapple from the score eliminates the genome-wide association signal for the score.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Förster F et al., Nature Communications - This GWAMA of up to 21,495 European-ancestry participants used the Sniffin' Sticks odour identification test to map genetic variants influencing identification of twelve odours and an identification score. The study reports ten independent loci (seven novel), sex-stratified effects, and a Mendelian randomization finding that Alzheimer's genetic risk negatively affects smell identification. Key terms: olfaction, GWAS, sex-specific genetics, olfactory receptors, Mendelian randomization.
 Study Highlights:A meta-analysis across four cohorts (n≤21,495) tested identification of twelve Sniffin' Sticks odours and a total identification score. Ten independent loci reached genome-wide significance, seven of them novel, with most loci located in olfactory receptor clusters and other plausible candidates (e.g., ADCY2). Sex-stratified analyses identified female-specific loci and one sex-differential locus, with candidate genes showing predicted androgen response elements. Two-sample Mendelian randomization detected a negative causal effect of Alzheimer's disease genetic risk on the identification score while sex hormones showed no robust causal effect.
 Conclusion:The study adds seven novel loci for odour identification, reveals sex-specific genetic effects at multiple loci, and provides evidence that genetic risk for Alzheimer's disease contributes to poorer global olfactory identification; further molecular and larger cross-ancestry studies are needed to extend these findings.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome-wide association meta-analysis of human olfactory identification discovers sex-specific and sex-differential genetic variants
 First author:Förster F
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61330-y
 Reference:Förster F., Emmert D., Horn K., et al. Genome-wide association meta-analysis of human olfactory identification discovers sex-specific and sex-differential genetic variants. Nature Communications (2025). DOI: https://doi.org/10.1038/s41467-025-61330-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-ep89-olfactory-gwas-sex-differences
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of the article's methods and results: GWAMA findings (ten loci, seven novel, two female-specific, one sex-differential), candidate genes (ADCY2, OR clusters, TAAR5, FBXL17, OR11H7), the pineapple odor driving the overall score, sex-differentiation mechanisms (AREs), Mendelian randomiza- transcript topics: Sniffin' Sticks test and scoring; Genome-wide association meta-analysis (GWAMA) and loci; Loci near olfactory receptor (OR) clusters and candidate genes; Pineapple odor driving the global identification score; Sex-specific and sex-differential SNP effects and androgen/estrogen regulatory elements; Mendelian randomization: hormones and neurodegenerative diseases
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107522/c1a-p6xp7-345x0mmof56g-ziqnfi.png"></itunes:image>
                                                                            <itunes:duration>00:20:28</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[88: Stable heritability of childhood Type 1 diabetes]]>
                </title>
                <pubDate>Sun, 27 Jul 2025 09:53:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    65ebbb80-585f-4646-928b-bfe3e87ddff1</guid>
                                    <link>https://basebybase.castos.com/episodes/stable-heritability-t1d-sweden</link>
                                <description>
                                            <![CDATA[<p>Wei Y et al., Nature Communications - A Swedish nationwide register study of 2.93 million children born 1982–2010 found that the heritability of childhood-onset type 1 diabetes remained high (~0.83) and stable over 30 years, while changes in measured environmental factors explained only a small fraction of the rise in incidence. Key terms: type 1 diabetes, heritability, Sweden, childhood-onset, environmental factors.</p>
<p> Study Highlights:<br />The study followed 2,928,704 children and recorded 20,086 childhood-onset T1D cases, showing incidence rose from birth year 1982 to 2000 then plateaued. Heritability estimated by AE liability models was 0.83 (95% CI 0.79–0.86) and remained stable across birth years and age-at-onset groups, with higher heritability at younger ages. Measured environmental and perinatal factors (including maternal smoking, maternal age, mode of delivery, gestational age and childhood adiposity) together explained only about 5–8% (under 10%) of the increasing incidence, implying additional or interacting drivers.</p>
<p> Conclusion:<br />Heritability of childhood-onset T1D in Sweden remained high and stable from 1982–2010, and available environmental factors account for only a small part of the observed increase in incidence, pointing to other environmental drivers or gene–environment interactions.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Stable heritability of type 1 diabetes in a Swedish Nationwide Cohort Study</p>
<p> First author:<br />Wei Y</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60813-2</p>
<p> Reference:<br />Wei Y, Andersson T, Liu S, Feychting M, Kuja-Halkola R &amp; Carlsson S. Stable heritability of type 1 diabetes in a Swedish Nationwide Cohort Study. Nature Communications (2025) 16:5327. doi:10.1038/s41467-025-60813-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/stable-heritability-t1d-sweden</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for alignment with the article's key findings: heritability and AE modeling, Swedish nationwide cohort design, incidence trends, environmental mediation, and the diabetogenic environment hypothesis; plus limitations and interpretation. Excluded non-scientific asides and promotional material.<br />- transcript topics: Heritability concept and AE liability threshold model; Swedish nationwide cohort and sibling design; Incidence trends 1982–2000 rise and 2000–2010 plateau; Environmental factors and causal mediation analysis; Diabetogenic environment theory and gene–environment interaction; Limitations and unmeasured factors in the study</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Heritability estimate ~0.83 (83%) and stable across birth years<br />- Incidence almost doubled from 1982 to 2000, then plateaued 2001–2010<br />- Environmental factors (known/measured) explain...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Wei Y et al., Nature Communications - A Swedish nationwide register study of 2.93 million children born 1982–2010 found that the heritability of childhood-onset type 1 diabetes remained high (~0.83) and stable over 30 years, while changes in measured environmental factors explained only a small fraction of the rise in incidence. Key terms: type 1 diabetes, heritability, Sweden, childhood-onset, environmental factors.
 Study Highlights:The study followed 2,928,704 children and recorded 20,086 childhood-onset T1D cases, showing incidence rose from birth year 1982 to 2000 then plateaued. Heritability estimated by AE liability models was 0.83 (95% CI 0.79–0.86) and remained stable across birth years and age-at-onset groups, with higher heritability at younger ages. Measured environmental and perinatal factors (including maternal smoking, maternal age, mode of delivery, gestational age and childhood adiposity) together explained only about 5–8% (under 10%) of the increasing incidence, implying additional or interacting drivers.
 Conclusion:Heritability of childhood-onset T1D in Sweden remained high and stable from 1982–2010, and available environmental factors account for only a small part of the observed increase in incidence, pointing to other environmental drivers or gene–environment interactions.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Stable heritability of type 1 diabetes in a Swedish Nationwide Cohort Study
 First author:Wei Y
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60813-2
 Reference:Wei Y, Andersson T, Liu S, Feychting M, Kuja-Halkola R & Carlsson S. Stable heritability of type 1 diabetes in a Swedish Nationwide Cohort Study. Nature Communications (2025) 16:5327. doi:10.1038/s41467-025-60813-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/stable-heritability-t1d-sweden
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for alignment with the article's key findings: heritability and AE modeling, Swedish nationwide cohort design, incidence trends, environmental mediation, and the diabetogenic environment hypothesis; plus limitations and interpretation. Excluded non-scientific asides and promotional material.- transcript topics: Heritability concept and AE liability threshold model; Swedish nationwide cohort and sibling design; Incidence trends 1982–2000 rise and 2000–2010 plateau; Environmental factors and causal mediation analysis; Diabetogenic environment theory and gene–environment interaction; Limitations and unmeasured factors in the study
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Heritability estimate ~0.83 (83%) and stable across birth years- Incidence almost doubled from 1982 to 2000, then plateaued 2001–2010- Environmental factors (known/measured) explain...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[88: Stable heritability of childhood Type 1 diabetes]]>
                </itunes:title>
                                    <itunes:episode>88</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Wei Y et al., Nature Communications - A Swedish nationwide register study of 2.93 million children born 1982–2010 found that the heritability of childhood-onset type 1 diabetes remained high (~0.83) and stable over 30 years, while changes in measured environmental factors explained only a small fraction of the rise in incidence. Key terms: type 1 diabetes, heritability, Sweden, childhood-onset, environmental factors.</p>
<p> Study Highlights:<br />The study followed 2,928,704 children and recorded 20,086 childhood-onset T1D cases, showing incidence rose from birth year 1982 to 2000 then plateaued. Heritability estimated by AE liability models was 0.83 (95% CI 0.79–0.86) and remained stable across birth years and age-at-onset groups, with higher heritability at younger ages. Measured environmental and perinatal factors (including maternal smoking, maternal age, mode of delivery, gestational age and childhood adiposity) together explained only about 5–8% (under 10%) of the increasing incidence, implying additional or interacting drivers.</p>
<p> Conclusion:<br />Heritability of childhood-onset T1D in Sweden remained high and stable from 1982–2010, and available environmental factors account for only a small part of the observed increase in incidence, pointing to other environmental drivers or gene–environment interactions.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Stable heritability of type 1 diabetes in a Swedish Nationwide Cohort Study</p>
<p> First author:<br />Wei Y</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60813-2</p>
<p> Reference:<br />Wei Y, Andersson T, Liu S, Feychting M, Kuja-Halkola R &amp; Carlsson S. Stable heritability of type 1 diabetes in a Swedish Nationwide Cohort Study. Nature Communications (2025) 16:5327. doi:10.1038/s41467-025-60813-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/stable-heritability-t1d-sweden</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content for alignment with the article's key findings: heritability and AE modeling, Swedish nationwide cohort design, incidence trends, environmental mediation, and the diabetogenic environment hypothesis; plus limitations and interpretation. Excluded non-scientific asides and promotional material.<br />- transcript topics: Heritability concept and AE liability threshold model; Swedish nationwide cohort and sibling design; Incidence trends 1982–2000 rise and 2000–2010 plateau; Environmental factors and causal mediation analysis; Diabetogenic environment theory and gene–environment interaction; Limitations and unmeasured factors in the study</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Heritability estimate ~0.83 (83%) and stable across birth years<br />- Incidence almost doubled from 1982 to 2000, then plateaued 2001–2010<br />- Environmental factors (known/measured) explain ~5–8% of the rise in incidence<br />- Maternal smoking during pregnancy explains ~3.2% of the rise; maternal age at delivery ~0.8%<br />- Childhood overweight/obesity explained ~2–4% (boys) and ~1–2% (girls) of the rise<br />- Non-shared environmental contribution ~0.17 (17%), shared environment ~0</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Wei Y et al., Nature Communications - A Swedish nationwide register study of 2.93 million children born 1982–2010 found that the heritability of childhood-onset type 1 diabetes remained high (~0.83) and stable over 30 years, while changes in measured environmental factors explained only a small fraction of the rise in incidence. Key terms: type 1 diabetes, heritability, Sweden, childhood-onset, environmental factors.
 Study Highlights:The study followed 2,928,704 children and recorded 20,086 childhood-onset T1D cases, showing incidence rose from birth year 1982 to 2000 then plateaued. Heritability estimated by AE liability models was 0.83 (95% CI 0.79–0.86) and remained stable across birth years and age-at-onset groups, with higher heritability at younger ages. Measured environmental and perinatal factors (including maternal smoking, maternal age, mode of delivery, gestational age and childhood adiposity) together explained only about 5–8% (under 10%) of the increasing incidence, implying additional or interacting drivers.
 Conclusion:Heritability of childhood-onset T1D in Sweden remained high and stable from 1982–2010, and available environmental factors account for only a small part of the observed increase in incidence, pointing to other environmental drivers or gene–environment interactions.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Stable heritability of type 1 diabetes in a Swedish Nationwide Cohort Study
 First author:Wei Y
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60813-2
 Reference:Wei Y, Andersson T, Liu S, Feychting M, Kuja-Halkola R & Carlsson S. Stable heritability of type 1 diabetes in a Swedish Nationwide Cohort Study. Nature Communications (2025) 16:5327. doi:10.1038/s41467-025-60813-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/stable-heritability-t1d-sweden
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content for alignment with the article's key findings: heritability and AE modeling, Swedish nationwide cohort design, incidence trends, environmental mediation, and the diabetogenic environment hypothesis; plus limitations and interpretation. Excluded non-scientific asides and promotional material.- transcript topics: Heritability concept and AE liability threshold model; Swedish nationwide cohort and sibling design; Incidence trends 1982–2000 rise and 2000–2010 plateau; Environmental factors and causal mediation analysis; Diabetogenic environment theory and gene–environment interaction; Limitations and unmeasured factors in the study
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Heritability estimate ~0.83 (83%) and stable across birth years- Incidence almost doubled from 1982 to 2000, then plateaued 2001–2010- Environmental factors (known/measured) explain...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107523/c1a-p6xp7-2580r6jja165-yqvrns.png"></itunes:image>
                                                                            <itunes:duration>00:18:28</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[87: Tracing Allograft Injury with cfDNA Methylation]]>
                </title>
                <pubDate>Sat, 26 Jul 2025 09:50:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    506ef283-8fa9-4a06-a8ae-86fab82a790d</guid>
                                    <link>https://basebybase.castos.com/episodes/cfdna-methylation-liver-transplant</link>
                                <description>
                                            <![CDATA[<p>Nature Communications - This study used fragment-level, sequence-based DNA methylation of circulating cell-free DNA to map cellular origins of tissue damage after liver transplant. An expanded methylation atlas of liver cell types and hybridization capture bisulfite sequencing of 130 serum samples from 44 patients showed that sustained hepatocyte and biliary epithelial cfDNA within the first month signals early allograft injury and that cfDNA composition distinguishes hepatocellular versus biliary etiologies. Key terms: cell-free DNA, DNA methylation, liver transplant, allograft injury, hepatocyte.</p>
<p> Study Highlights:<br />The authors generated an expanded liver cell-type methylation atlas from 476 methylomes and used hybridization capture bisulfite sequencing on 130 serum samples from 44 transplant patients. Post-reperfusion cfDNA concentrations rose ~5-fold driven mainly by hepatocyte, stellate and endothelial contributions, and hepatocyte cfDNA correlated with AST/ALT. Patients without allograft injury showed recovery of liver-derived cfDNA within the first week, whereas sustained hepatocyte and biliary epithelial cfDNA from POD7–POD30 indicated early allograft injury. CfDNA composition at biopsy timepoints discriminated hepatocellular, biliary, and mixed injury phenotypes.</p>
<p> Conclusion:<br />Cell-free methylated DNA in circulation can indicate allograft injury and discriminate amongst causes of allograft injury matching tissue-biopsy-proven diagnosis.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Circulating cell-free DNA methylation patterns indicate cellular sources of allograftinjury after liver transplant</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60507-9</p>
<p> Reference:<br />https://doi.org/10.1038/s41467-025-60507-9</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cfdna-methylation-liver-transplant</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-26.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the main sections describing: the cfDNA methylation atlas expansion, the fragment-level deconvolution method, peri- and post-transplant cfDNA dynamics, differentiation of hepatocellular vs biliary injury, extra-hepatic cfDNA signals, and clinical translation/validation discussion.<br />- transcript topics: Expansion of liver cell-type DNA methylation atlas; Fragment-level deconvolution of cfDNA; Post-transplant cfDNA dynamics and tissue origins; Differentiation of hepatocellular vs biliary injury; Extrahepatic cfDNA signals (neuronal, cardiac, renal); Clinical implications, limitations, and validation needs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- DOI matches the canonical DOI 10.1038/s41467-025-60507-9<br />- Article title matches canonical title (formatting variants allowed)<br />- Journal matches Nature Communications<br />- License matches CC BY 4.0 variant</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nature Communications - This study used fragment-level, sequence-based DNA methylation of circulating cell-free DNA to map cellular origins of tissue damage after liver transplant. An expanded methylation atlas of liver cell types and hybridization capture bisulfite sequencing of 130 serum samples from 44 patients showed that sustained hepatocyte and biliary epithelial cfDNA within the first month signals early allograft injury and that cfDNA composition distinguishes hepatocellular versus biliary etiologies. Key terms: cell-free DNA, DNA methylation, liver transplant, allograft injury, hepatocyte.
 Study Highlights:The authors generated an expanded liver cell-type methylation atlas from 476 methylomes and used hybridization capture bisulfite sequencing on 130 serum samples from 44 transplant patients. Post-reperfusion cfDNA concentrations rose ~5-fold driven mainly by hepatocyte, stellate and endothelial contributions, and hepatocyte cfDNA correlated with AST/ALT. Patients without allograft injury showed recovery of liver-derived cfDNA within the first week, whereas sustained hepatocyte and biliary epithelial cfDNA from POD7–POD30 indicated early allograft injury. CfDNA composition at biopsy timepoints discriminated hepatocellular, biliary, and mixed injury phenotypes.
 Conclusion:Cell-free methylated DNA in circulation can indicate allograft injury and discriminate amongst causes of allograft injury matching tissue-biopsy-proven diagnosis.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Circulating cell-free DNA methylation patterns indicate cellular sources of allograftinjury after liver transplant
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60507-9
 Reference:https://doi.org/10.1038/s41467-025-60507-9
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cfdna-methylation-liver-transplant
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-26.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the main sections describing: the cfDNA methylation atlas expansion, the fragment-level deconvolution method, peri- and post-transplant cfDNA dynamics, differentiation of hepatocellular vs biliary injury, extra-hepatic cfDNA signals, and clinical translation/validation discussion.- transcript topics: Expansion of liver cell-type DNA methylation atlas; Fragment-level deconvolution of cfDNA; Post-transplant cfDNA dynamics and tissue origins; Differentiation of hepatocellular vs biliary injury; Extrahepatic cfDNA signals (neuronal, cardiac, renal); Clinical implications, limitations, and validation needs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- DOI matches the canonical DOI 10.1038/s41467-025-60507-9- Article title matches canonical title (formatting variants allowed)- Journal matches Nature Communications- License matches CC BY 4.0 variant
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[87: Tracing Allograft Injury with cfDNA Methylation]]>
                </itunes:title>
                                    <itunes:episode>87</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nature Communications - This study used fragment-level, sequence-based DNA methylation of circulating cell-free DNA to map cellular origins of tissue damage after liver transplant. An expanded methylation atlas of liver cell types and hybridization capture bisulfite sequencing of 130 serum samples from 44 patients showed that sustained hepatocyte and biliary epithelial cfDNA within the first month signals early allograft injury and that cfDNA composition distinguishes hepatocellular versus biliary etiologies. Key terms: cell-free DNA, DNA methylation, liver transplant, allograft injury, hepatocyte.</p>
<p> Study Highlights:<br />The authors generated an expanded liver cell-type methylation atlas from 476 methylomes and used hybridization capture bisulfite sequencing on 130 serum samples from 44 transplant patients. Post-reperfusion cfDNA concentrations rose ~5-fold driven mainly by hepatocyte, stellate and endothelial contributions, and hepatocyte cfDNA correlated with AST/ALT. Patients without allograft injury showed recovery of liver-derived cfDNA within the first week, whereas sustained hepatocyte and biliary epithelial cfDNA from POD7–POD30 indicated early allograft injury. CfDNA composition at biopsy timepoints discriminated hepatocellular, biliary, and mixed injury phenotypes.</p>
<p> Conclusion:<br />Cell-free methylated DNA in circulation can indicate allograft injury and discriminate amongst causes of allograft injury matching tissue-biopsy-proven diagnosis.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Circulating cell-free DNA methylation patterns indicate cellular sources of allograftinjury after liver transplant</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60507-9</p>
<p> Reference:<br />https://doi.org/10.1038/s41467-025-60507-9</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/cfdna-methylation-liver-transplant</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-26.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the main sections describing: the cfDNA methylation atlas expansion, the fragment-level deconvolution method, peri- and post-transplant cfDNA dynamics, differentiation of hepatocellular vs biliary injury, extra-hepatic cfDNA signals, and clinical translation/validation discussion.<br />- transcript topics: Expansion of liver cell-type DNA methylation atlas; Fragment-level deconvolution of cfDNA; Post-transplant cfDNA dynamics and tissue origins; Differentiation of hepatocellular vs biliary injury; Extrahepatic cfDNA signals (neuronal, cardiac, renal); Clinical implications, limitations, and validation needs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- DOI matches the canonical DOI 10.1038/s41467-025-60507-9<br />- Article title matches canonical title (formatting variants allowed)<br />- Journal matches Nature Communications<br />- License matches CC BY 4.0 variant</p>
<p>QC result: Pass.</p>]]>
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                    <![CDATA[Nature Communications - This study used fragment-level, sequence-based DNA methylation of circulating cell-free DNA to map cellular origins of tissue damage after liver transplant. An expanded methylation atlas of liver cell types and hybridization capture bisulfite sequencing of 130 serum samples from 44 patients showed that sustained hepatocyte and biliary epithelial cfDNA within the first month signals early allograft injury and that cfDNA composition distinguishes hepatocellular versus biliary etiologies. Key terms: cell-free DNA, DNA methylation, liver transplant, allograft injury, hepatocyte.
 Study Highlights:The authors generated an expanded liver cell-type methylation atlas from 476 methylomes and used hybridization capture bisulfite sequencing on 130 serum samples from 44 transplant patients. Post-reperfusion cfDNA concentrations rose ~5-fold driven mainly by hepatocyte, stellate and endothelial contributions, and hepatocyte cfDNA correlated with AST/ALT. Patients without allograft injury showed recovery of liver-derived cfDNA within the first week, whereas sustained hepatocyte and biliary epithelial cfDNA from POD7–POD30 indicated early allograft injury. CfDNA composition at biopsy timepoints discriminated hepatocellular, biliary, and mixed injury phenotypes.
 Conclusion:Cell-free methylated DNA in circulation can indicate allograft injury and discriminate amongst causes of allograft injury matching tissue-biopsy-proven diagnosis.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Circulating cell-free DNA methylation patterns indicate cellular sources of allograftinjury after liver transplant
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60507-9
 Reference:https://doi.org/10.1038/s41467-025-60507-9
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/cfdna-methylation-liver-transplant
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-26.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the main sections describing: the cfDNA methylation atlas expansion, the fragment-level deconvolution method, peri- and post-transplant cfDNA dynamics, differentiation of hepatocellular vs biliary injury, extra-hepatic cfDNA signals, and clinical translation/validation discussion.- transcript topics: Expansion of liver cell-type DNA methylation atlas; Fragment-level deconvolution of cfDNA; Post-transplant cfDNA dynamics and tissue origins; Differentiation of hepatocellular vs biliary injury; Extrahepatic cfDNA signals (neuronal, cardiac, renal); Clinical implications, limitations, and validation needs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- DOI matches the canonical DOI 10.1038/s41467-025-60507-9- Article title matches canonical title (formatting variants allowed)- Journal matches Nature Communications- License matches CC BY 4.0 variant
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107524/c1a-p6xp7-z314gr04i2gv-esvstc.png"></itunes:image>
                                                                            <itunes:duration>00:20:20</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[86: Why Pathogenic Variant Impact Varies: Variant Effects, Polygenic Background, and Epistasis]]>
                </title>
                <pubDate>Fri, 25 Jul 2025 09:49:22 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                    <link>https://basebybase.castos.com/episodes/variable-impact-pathogenic-variants-monogenic-metabolic</link>
                                <description>
                                            <![CDATA[<p>Nature Communications - A biobank-scale study using UK Biobank and Mount Sinai BioMe exomes examines three genetic contributors to incomplete penetrance and variable severity of monogenic cardiometabolic variants: heterogeneous missense variant effects, additive polygenic background, and marginal epistasis between carrier status and common variation. Key terms: variant pathogenicity, polygenic risk score, marginal epistasis, ESM1b, biobank exomes.</p>
<p> Study Highlights:<br />The authors applied the ESM1b protein language model to show that missense variant pathogenicity scores predict phenotype severity for carriers in multiple genes and distinguish gain- from loss-of-function variants. Polygenic risk scores independently modify phenotypes among pathogenic carriers, with noncarriers in PRS tails sometimes exceeding carriers in severity. Using the FAME method, they detected significant marginal epistasis modifying carrier effects for LDL, triglycerides, and MODY, with epistatic improvement percentages up to 170%. Findings were supported by replication in the BioMe cohort and expanded UKB exomes.</p>
<p> Conclusion:<br />Variant-level effect heterogeneity, polygenic background, and marginal epistasis each contribute to variable penetrance and severity of monogenic metabolic conditions; integrating ESM1b scores, PRS, and interaction effects could improve clinical prognosis for carriers.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Investigating the sources of variable impact of pathogenic variants in monogenic metabolic conditions</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60339-7</p>
<p> Reference:<br />https://doi.org/10.1038/s41467-025-60339-7</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/variable-impact-pathogenic-variants-monogenic-metabolic</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited portions of the transcript that discuss ESM1b variant pathogenicity scores, PRS carrier modification of phenotypes, marginal epistasis with FAME, replication in biobanks, and translational implications, plus limitations. Excluded non-scientific intro language and sponsor-like lines.<br />- transcript topics: ESM1b variant pathogenicity scoring; Variant effect heterogeneity across monogenic genes; Polygenic risk scores and carrier phenotypes; Marginal epistasis and FAME method; Biobank-scale data sources and replication; Clinical implications and limitations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Three genetic contributors to penetrance and disease severity: heterogeneous variant effects, additive polygenic background, and marginal epistasis.<br />- ESM1b scores predict mean phenotype and distinguish GOF vs LOF variants in several monogenic genes.<br />- PRS modulates carrier phenotype; noncarriers in PRS tails can exhibit more extreme phenotypes than pathogenic carriers...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nature Communications - A biobank-scale study using UK Biobank and Mount Sinai BioMe exomes examines three genetic contributors to incomplete penetrance and variable severity of monogenic cardiometabolic variants: heterogeneous missense variant effects, additive polygenic background, and marginal epistasis between carrier status and common variation. Key terms: variant pathogenicity, polygenic risk score, marginal epistasis, ESM1b, biobank exomes.
 Study Highlights:The authors applied the ESM1b protein language model to show that missense variant pathogenicity scores predict phenotype severity for carriers in multiple genes and distinguish gain- from loss-of-function variants. Polygenic risk scores independently modify phenotypes among pathogenic carriers, with noncarriers in PRS tails sometimes exceeding carriers in severity. Using the FAME method, they detected significant marginal epistasis modifying carrier effects for LDL, triglycerides, and MODY, with epistatic improvement percentages up to 170%. Findings were supported by replication in the BioMe cohort and expanded UKB exomes.
 Conclusion:Variant-level effect heterogeneity, polygenic background, and marginal epistasis each contribute to variable penetrance and severity of monogenic metabolic conditions; integrating ESM1b scores, PRS, and interaction effects could improve clinical prognosis for carriers.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Investigating the sources of variable impact of pathogenic variants in monogenic metabolic conditions
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60339-7
 Reference:https://doi.org/10.1038/s41467-025-60339-7
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/variable-impact-pathogenic-variants-monogenic-metabolic
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited portions of the transcript that discuss ESM1b variant pathogenicity scores, PRS carrier modification of phenotypes, marginal epistasis with FAME, replication in biobanks, and translational implications, plus limitations. Excluded non-scientific intro language and sponsor-like lines.- transcript topics: ESM1b variant pathogenicity scoring; Variant effect heterogeneity across monogenic genes; Polygenic risk scores and carrier phenotypes; Marginal epistasis and FAME method; Biobank-scale data sources and replication; Clinical implications and limitations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Three genetic contributors to penetrance and disease severity: heterogeneous variant effects, additive polygenic background, and marginal epistasis.- ESM1b scores predict mean phenotype and distinguish GOF vs LOF variants in several monogenic genes.- PRS modulates carrier phenotype; noncarriers in PRS tails can exhibit more extreme phenotypes than pathogenic carriers...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[86: Why Pathogenic Variant Impact Varies: Variant Effects, Polygenic Background, and Epistasis]]>
                </itunes:title>
                                    <itunes:episode>86</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nature Communications - A biobank-scale study using UK Biobank and Mount Sinai BioMe exomes examines three genetic contributors to incomplete penetrance and variable severity of monogenic cardiometabolic variants: heterogeneous missense variant effects, additive polygenic background, and marginal epistasis between carrier status and common variation. Key terms: variant pathogenicity, polygenic risk score, marginal epistasis, ESM1b, biobank exomes.</p>
<p> Study Highlights:<br />The authors applied the ESM1b protein language model to show that missense variant pathogenicity scores predict phenotype severity for carriers in multiple genes and distinguish gain- from loss-of-function variants. Polygenic risk scores independently modify phenotypes among pathogenic carriers, with noncarriers in PRS tails sometimes exceeding carriers in severity. Using the FAME method, they detected significant marginal epistasis modifying carrier effects for LDL, triglycerides, and MODY, with epistatic improvement percentages up to 170%. Findings were supported by replication in the BioMe cohort and expanded UKB exomes.</p>
<p> Conclusion:<br />Variant-level effect heterogeneity, polygenic background, and marginal epistasis each contribute to variable penetrance and severity of monogenic metabolic conditions; integrating ESM1b scores, PRS, and interaction effects could improve clinical prognosis for carriers.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Investigating the sources of variable impact of pathogenic variants in monogenic metabolic conditions</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60339-7</p>
<p> Reference:<br />https://doi.org/10.1038/s41467-025-60339-7</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/variable-impact-pathogenic-variants-monogenic-metabolic</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited portions of the transcript that discuss ESM1b variant pathogenicity scores, PRS carrier modification of phenotypes, marginal epistasis with FAME, replication in biobanks, and translational implications, plus limitations. Excluded non-scientific intro language and sponsor-like lines.<br />- transcript topics: ESM1b variant pathogenicity scoring; Variant effect heterogeneity across monogenic genes; Polygenic risk scores and carrier phenotypes; Marginal epistasis and FAME method; Biobank-scale data sources and replication; Clinical implications and limitations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Three genetic contributors to penetrance and disease severity: heterogeneous variant effects, additive polygenic background, and marginal epistasis.<br />- ESM1b scores predict mean phenotype and distinguish GOF vs LOF variants in several monogenic genes.<br />- PRS modulates carrier phenotype; noncarriers in PRS tails can exhibit more extreme phenotypes than pathogenic carriers for some traits.<br />- Marginal epistasis between carrier status and polygenic background significantly modifies phenotype, with EIP values up to 170% (triglycerides) and substantial values for LDL/HDL/M<br />- Biobank-scale replication in Mt. Sinai BioMe and expanded UKB exomes supports findings.<br />- Potential translational implications include reclassification of variants of uncertain significance using ESM1b and integration into prognosis.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Nature Communications - A biobank-scale study using UK Biobank and Mount Sinai BioMe exomes examines three genetic contributors to incomplete penetrance and variable severity of monogenic cardiometabolic variants: heterogeneous missense variant effects, additive polygenic background, and marginal epistasis between carrier status and common variation. Key terms: variant pathogenicity, polygenic risk score, marginal epistasis, ESM1b, biobank exomes.
 Study Highlights:The authors applied the ESM1b protein language model to show that missense variant pathogenicity scores predict phenotype severity for carriers in multiple genes and distinguish gain- from loss-of-function variants. Polygenic risk scores independently modify phenotypes among pathogenic carriers, with noncarriers in PRS tails sometimes exceeding carriers in severity. Using the FAME method, they detected significant marginal epistasis modifying carrier effects for LDL, triglycerides, and MODY, with epistatic improvement percentages up to 170%. Findings were supported by replication in the BioMe cohort and expanded UKB exomes.
 Conclusion:Variant-level effect heterogeneity, polygenic background, and marginal epistasis each contribute to variable penetrance and severity of monogenic metabolic conditions; integrating ESM1b scores, PRS, and interaction effects could improve clinical prognosis for carriers.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Investigating the sources of variable impact of pathogenic variants in monogenic metabolic conditions
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60339-7
 Reference:https://doi.org/10.1038/s41467-025-60339-7
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/variable-impact-pathogenic-variants-monogenic-metabolic
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited portions of the transcript that discuss ESM1b variant pathogenicity scores, PRS carrier modification of phenotypes, marginal epistasis with FAME, replication in biobanks, and translational implications, plus limitations. Excluded non-scientific intro language and sponsor-like lines.- transcript topics: ESM1b variant pathogenicity scoring; Variant effect heterogeneity across monogenic genes; Polygenic risk scores and carrier phenotypes; Marginal epistasis and FAME method; Biobank-scale data sources and replication; Clinical implications and limitations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Three genetic contributors to penetrance and disease severity: heterogeneous variant effects, additive polygenic background, and marginal epistasis.- ESM1b scores predict mean phenotype and distinguish GOF vs LOF variants in several monogenic genes.- PRS modulates carrier phenotype; noncarriers in PRS tails can exhibit more extreme phenotypes than pathogenic carriers...]]>
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                                                                            <itunes:duration>00:19:27</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                    <item>
                <title>
                    <![CDATA[️ 85: Genomic landscape of virus-associated cancers]]>
                </title>
                <pubDate>Thu, 24 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                    b952a7af-cb5d-4c33-8afe-f6fed49425fd</guid>
                                    <link>https://basebybase.castos.com/episodes/85-genomic-landscape-of-virus-associated-cancers</link>
                                <description>
                                            <![CDATA[<p>️ Episode 85: Genomic landscape of virus-associated cancers</p><p> In this episode of PaperCast Base by Base, we explore the comparative genomic analysis of virus-positive and virus-negative tumors across nine cancer types linked to five oncogenic viruses uncovering epidemiological patterns, mutational signatures, and therapeutic implications.</p><p> Study Highlights:</p><p>The authors aggregated genomic data from 1,971 tumors spanning nine virus-associated cancers and performed comprehensive analyses of mutation burden and driver mutations across virus-positive and virus-negative cases. They identified that virus-positive tumors generally have a lower somatic mutation load but frequent mutations in RNA helicases DDX3X and EIF4A1 and distinct mutation signatures compared to virus-negative tumors. Epidemiological analysis revealed higher male incidence and geographic disparities for virus-positive cancers, while immunotherapy response data indicated improved outcomes for virus-positive gastric cancer and head and neck squamous cell carcinoma. Comparative copy number and structural variant analyses highlighted recurrent chromosomal losses and translocations associated with viral infection status.</p><p> Conclusion:</p><p>These findings provide a pan-cancer perspective on the distinct genomic and clinical landscapes of virus-associated malignancies and suggest RNA helicase mutations and viral status as potential biomarkers for targeted therapies.</p><p> Reference:</p><p>Nam Y, Gomez K, Reynier JB, Khamnei C, Aitken M, Zheng V, Lhakhang T, Casula M, Palmieri G, Cossu A, Levine A, Tiacci E, Rabadan R. Genomic landscape of virus-associated cancers. Nature Communications. 2025;16:5887. doi:10.1038/s41467-025-60836-9.</p><p> License:</p><p>This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p><p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 85: Genomic landscape of virus-associated cancers In this episode of PaperCast Base by Base, we explore the comparative genomic analysis of virus-positive and virus-negative tumors across nine cancer types linked to five oncogenic viruses uncovering epidemiological patterns, mutational signatures, and therapeutic implications. Study Highlights:The authors aggregated genomic data from 1,971 tumors spanning nine virus-associated cancers and performed comprehensive analyses of mutation burden and driver mutations across virus-positive and virus-negative cases. They identified that virus-positive tumors generally have a lower somatic mutation load but frequent mutations in RNA helicases DDX3X and EIF4A1 and distinct mutation signatures compared to virus-negative tumors. Epidemiological analysis revealed higher male incidence and geographic disparities for virus-positive cancers, while immunotherapy response data indicated improved outcomes for virus-positive gastric cancer and head and neck squamous cell carcinoma. Comparative copy number and structural variant analyses highlighted recurrent chromosomal losses and translocations associated with viral infection status. Conclusion:These findings provide a pan-cancer perspective on the distinct genomic and clinical landscapes of virus-associated malignancies and suggest RNA helicase mutations and viral status as potential biomarkers for targeted therapies. Reference:Nam Y, Gomez K, Reynier JB, Khamnei C, Aitken M, Zheng V, Lhakhang T, Casula M, Palmieri G, Cossu A, Levine A, Tiacci E, Rabadan R. Genomic landscape of virus-associated cancers. Nature Communications. 2025;16:5887. doi:10.1038/s41467-025-60836-9. License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[️ 85: Genomic landscape of virus-associated cancers]]>
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                                    <itunes:episode>85</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                    <![CDATA[<p>️ Episode 85: Genomic landscape of virus-associated cancers</p><p> In this episode of PaperCast Base by Base, we explore the comparative genomic analysis of virus-positive and virus-negative tumors across nine cancer types linked to five oncogenic viruses uncovering epidemiological patterns, mutational signatures, and therapeutic implications.</p><p> Study Highlights:</p><p>The authors aggregated genomic data from 1,971 tumors spanning nine virus-associated cancers and performed comprehensive analyses of mutation burden and driver mutations across virus-positive and virus-negative cases. They identified that virus-positive tumors generally have a lower somatic mutation load but frequent mutations in RNA helicases DDX3X and EIF4A1 and distinct mutation signatures compared to virus-negative tumors. Epidemiological analysis revealed higher male incidence and geographic disparities for virus-positive cancers, while immunotherapy response data indicated improved outcomes for virus-positive gastric cancer and head and neck squamous cell carcinoma. Comparative copy number and structural variant analyses highlighted recurrent chromosomal losses and translocations associated with viral infection status.</p><p> Conclusion:</p><p>These findings provide a pan-cancer perspective on the distinct genomic and clinical landscapes of virus-associated malignancies and suggest RNA helicase mutations and viral status as potential biomarkers for targeted therapies.</p><p> Reference:</p><p>Nam Y, Gomez K, Reynier JB, Khamnei C, Aitken M, Zheng V, Lhakhang T, Casula M, Palmieri G, Cossu A, Levine A, Tiacci E, Rabadan R. Genomic landscape of virus-associated cancers. Nature Communications. 2025;16:5887. doi:10.1038/s41467-025-60836-9.</p><p> License:</p><p>This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p><p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
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                    <![CDATA[️ Episode 85: Genomic landscape of virus-associated cancers In this episode of PaperCast Base by Base, we explore the comparative genomic analysis of virus-positive and virus-negative tumors across nine cancer types linked to five oncogenic viruses uncovering epidemiological patterns, mutational signatures, and therapeutic implications. Study Highlights:The authors aggregated genomic data from 1,971 tumors spanning nine virus-associated cancers and performed comprehensive analyses of mutation burden and driver mutations across virus-positive and virus-negative cases. They identified that virus-positive tumors generally have a lower somatic mutation load but frequent mutations in RNA helicases DDX3X and EIF4A1 and distinct mutation signatures compared to virus-negative tumors. Epidemiological analysis revealed higher male incidence and geographic disparities for virus-positive cancers, while immunotherapy response data indicated improved outcomes for virus-positive gastric cancer and head and neck squamous cell carcinoma. Comparative copy number and structural variant analyses highlighted recurrent chromosomal losses and translocations associated with viral infection status. Conclusion:These findings provide a pan-cancer perspective on the distinct genomic and clinical landscapes of virus-associated malignancies and suggest RNA helicase mutations and viral status as potential biomarkers for targeted therapies. Reference:Nam Y, Gomez K, Reynier JB, Khamnei C, Aitken M, Zheng V, Lhakhang T, Casula M, Palmieri G, Cossu A, Levine A, Tiacci E, Rabadan R. Genomic landscape of virus-associated cancers. Nature Communications. 2025;16:5887. doi:10.1038/s41467-025-60836-9. License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:23:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                    <item>
                <title>
                    <![CDATA[84: NR6A1 and a newly described oculo‑vertebral‑renal (OVR) syndrome]]>
                </title>
                <pubDate>Wed, 23 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    cf958e80-6e08-4e38-8b6c-a99a8b99d2e5</guid>
                                    <link>https://basebybase.castos.com/episodes/nr6a1-oculo-vertebral-renal</link>
                                <description>
                                            <![CDATA[<p>Nature Communications - Genome sequencing identified rare NR6A1 variants in families with colobomatous microphthalmia, missing vertebrae and congenital kidney anomalies. In silico modeling, cell assays, and zebrafish knockdown/rescue experiments support pathogenicity and define NR6A1 as a pleiotropic developmental regulator. Key terms: NR6A1, coloboma, microphthalmia, vertebral anomalies, kidney anomalies.</p>
<p> Study Highlights:<br />Rare heterozygous NR6A1 variants were found in six independent families presenting coloboma/microphthalmia with missing vertebrae and some kidney anomalies, consistent with an autosomal dominant OVR syndrome with incomplete penetrance. Molecular modeling predicted disruption of DNA or intramolecular contacts, and two missense variants caused abnormal subcellular localization in HEK293 cells. Knockdown of zebrafish nr6a1a/nr6a1b produced eye, kidney, and somite defects that were rescued by wild‑type human NR6A1 mRNA but not by disease variants. NR6A1 is enriched in fetal ocular tissues and correlates with other coloboma genes, supporting a developmental role.</p>
<p> Conclusion:<br />NR6A1 variants cause a syndromic form of colobomatous microphthalmia with vertebral and renal anomalies (OVR syndrome); NR6A1 should be considered in genetic evaluation of MAC with associated skeletal or renal findings.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Variants in NR6A1 cause a novel oculo vertebral renal syndrome</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60574-y</p>
<p> Reference:<br />https://doi.org/10.1038/s41467-025-60574-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nr6a1-oculo-vertebral-renal</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-23.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections discuss NR6A1 variants, the two pathogenic missense variants (R92W, R436C), their distinct molecular mechanisms, in vivo zebrafish validation with rescue experiments, and the clinical implication of NR6A1 as an OVR syndrome gene; also covers the genome-first approach and phenotype spectrum.<br />- transcript topics: NR6A1 and oculo-vertebral-renal (OVR) syndrome; NR6A1 variants R92W and R436C functional consequences; DNA-binding disruption at R92W; Cytoplasmic mislocalization at R436C; Zebrafish nr6a1a/nr6a1b knockdown and mRNA rescue experiments; Genome-first approach (UK100K Genomes Project) and MAC/MA cohorts</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Six rare NR6A1 variants identified across two cohorts (NEI coloboma/OVR and UK100KGP MAC) supporting autosomal dominant OVR syndrome.<br />- Missense variants R92W and R436C cause distinct functional defects (DNA-binding disruption for R92W; cytoplasmic retention for R436C).<br />- Zebrafish nr6a1a/nr6a1b knockdown recapitulates ocular, vertebral, and renal phenotypes; wild‑type NR6A1 mRNA rescues, but R92W/R436C variants do not.<br />-...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nature Communications - Genome sequencing identified rare NR6A1 variants in families with colobomatous microphthalmia, missing vertebrae and congenital kidney anomalies. In silico modeling, cell assays, and zebrafish knockdown/rescue experiments support pathogenicity and define NR6A1 as a pleiotropic developmental regulator. Key terms: NR6A1, coloboma, microphthalmia, vertebral anomalies, kidney anomalies.
 Study Highlights:Rare heterozygous NR6A1 variants were found in six independent families presenting coloboma/microphthalmia with missing vertebrae and some kidney anomalies, consistent with an autosomal dominant OVR syndrome with incomplete penetrance. Molecular modeling predicted disruption of DNA or intramolecular contacts, and two missense variants caused abnormal subcellular localization in HEK293 cells. Knockdown of zebrafish nr6a1a/nr6a1b produced eye, kidney, and somite defects that were rescued by wild‑type human NR6A1 mRNA but not by disease variants. NR6A1 is enriched in fetal ocular tissues and correlates with other coloboma genes, supporting a developmental role.
 Conclusion:NR6A1 variants cause a syndromic form of colobomatous microphthalmia with vertebral and renal anomalies (OVR syndrome); NR6A1 should be considered in genetic evaluation of MAC with associated skeletal or renal findings.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Variants in NR6A1 cause a novel oculo vertebral renal syndrome
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60574-y
 Reference:https://doi.org/10.1038/s41467-025-60574-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nr6a1-oculo-vertebral-renal
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-23.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections discuss NR6A1 variants, the two pathogenic missense variants (R92W, R436C), their distinct molecular mechanisms, in vivo zebrafish validation with rescue experiments, and the clinical implication of NR6A1 as an OVR syndrome gene; also covers the genome-first approach and phenotype spectrum.- transcript topics: NR6A1 and oculo-vertebral-renal (OVR) syndrome; NR6A1 variants R92W and R436C functional consequences; DNA-binding disruption at R92W; Cytoplasmic mislocalization at R436C; Zebrafish nr6a1a/nr6a1b knockdown and mRNA rescue experiments; Genome-first approach (UK100K Genomes Project) and MAC/MA cohorts
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Six rare NR6A1 variants identified across two cohorts (NEI coloboma/OVR and UK100KGP MAC) supporting autosomal dominant OVR syndrome.- Missense variants R92W and R436C cause distinct functional defects (DNA-binding disruption for R92W; cytoplasmic retention for R436C).- Zebrafish nr6a1a/nr6a1b knockdown recapitulates ocular, vertebral, and renal phenotypes; wild‑type NR6A1 mRNA rescues, but R92W/R436C variants do not.-...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[84: NR6A1 and a newly described oculo‑vertebral‑renal (OVR) syndrome]]>
                </itunes:title>
                                    <itunes:episode>84</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nature Communications - Genome sequencing identified rare NR6A1 variants in families with colobomatous microphthalmia, missing vertebrae and congenital kidney anomalies. In silico modeling, cell assays, and zebrafish knockdown/rescue experiments support pathogenicity and define NR6A1 as a pleiotropic developmental regulator. Key terms: NR6A1, coloboma, microphthalmia, vertebral anomalies, kidney anomalies.</p>
<p> Study Highlights:<br />Rare heterozygous NR6A1 variants were found in six independent families presenting coloboma/microphthalmia with missing vertebrae and some kidney anomalies, consistent with an autosomal dominant OVR syndrome with incomplete penetrance. Molecular modeling predicted disruption of DNA or intramolecular contacts, and two missense variants caused abnormal subcellular localization in HEK293 cells. Knockdown of zebrafish nr6a1a/nr6a1b produced eye, kidney, and somite defects that were rescued by wild‑type human NR6A1 mRNA but not by disease variants. NR6A1 is enriched in fetal ocular tissues and correlates with other coloboma genes, supporting a developmental role.</p>
<p> Conclusion:<br />NR6A1 variants cause a syndromic form of colobomatous microphthalmia with vertebral and renal anomalies (OVR syndrome); NR6A1 should be considered in genetic evaluation of MAC with associated skeletal or renal findings.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Variants in NR6A1 cause a novel oculo vertebral renal syndrome</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60574-y</p>
<p> Reference:<br />https://doi.org/10.1038/s41467-025-60574-y</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nr6a1-oculo-vertebral-renal</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-23.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections discuss NR6A1 variants, the two pathogenic missense variants (R92W, R436C), their distinct molecular mechanisms, in vivo zebrafish validation with rescue experiments, and the clinical implication of NR6A1 as an OVR syndrome gene; also covers the genome-first approach and phenotype spectrum.<br />- transcript topics: NR6A1 and oculo-vertebral-renal (OVR) syndrome; NR6A1 variants R92W and R436C functional consequences; DNA-binding disruption at R92W; Cytoplasmic mislocalization at R436C; Zebrafish nr6a1a/nr6a1b knockdown and mRNA rescue experiments; Genome-first approach (UK100K Genomes Project) and MAC/MA cohorts</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Six rare NR6A1 variants identified across two cohorts (NEI coloboma/OVR and UK100KGP MAC) supporting autosomal dominant OVR syndrome.<br />- Missense variants R92W and R436C cause distinct functional defects (DNA-binding disruption for R92W; cytoplasmic retention for R436C).<br />- Zebrafish nr6a1a/nr6a1b knockdown recapitulates ocular, vertebral, and renal phenotypes; wild‑type NR6A1 mRNA rescues, but R92W/R436C variants do not.<br />- NR6A1 variants account for approximately 1.3%–1.4% of MAC/OVR cases across two cohorts.<br />- NR6A1 is implicated as a pleiotropic developmental regulator with potential links to retinoic acid signaling.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Nature Communications - Genome sequencing identified rare NR6A1 variants in families with colobomatous microphthalmia, missing vertebrae and congenital kidney anomalies. In silico modeling, cell assays, and zebrafish knockdown/rescue experiments support pathogenicity and define NR6A1 as a pleiotropic developmental regulator. Key terms: NR6A1, coloboma, microphthalmia, vertebral anomalies, kidney anomalies.
 Study Highlights:Rare heterozygous NR6A1 variants were found in six independent families presenting coloboma/microphthalmia with missing vertebrae and some kidney anomalies, consistent with an autosomal dominant OVR syndrome with incomplete penetrance. Molecular modeling predicted disruption of DNA or intramolecular contacts, and two missense variants caused abnormal subcellular localization in HEK293 cells. Knockdown of zebrafish nr6a1a/nr6a1b produced eye, kidney, and somite defects that were rescued by wild‑type human NR6A1 mRNA but not by disease variants. NR6A1 is enriched in fetal ocular tissues and correlates with other coloboma genes, supporting a developmental role.
 Conclusion:NR6A1 variants cause a syndromic form of colobomatous microphthalmia with vertebral and renal anomalies (OVR syndrome); NR6A1 should be considered in genetic evaluation of MAC with associated skeletal or renal findings.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Variants in NR6A1 cause a novel oculo vertebral renal syndrome
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60574-y
 Reference:https://doi.org/10.1038/s41467-025-60574-y
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nr6a1-oculo-vertebral-renal
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-23.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections discuss NR6A1 variants, the two pathogenic missense variants (R92W, R436C), their distinct molecular mechanisms, in vivo zebrafish validation with rescue experiments, and the clinical implication of NR6A1 as an OVR syndrome gene; also covers the genome-first approach and phenotype spectrum.- transcript topics: NR6A1 and oculo-vertebral-renal (OVR) syndrome; NR6A1 variants R92W and R436C functional consequences; DNA-binding disruption at R92W; Cytoplasmic mislocalization at R436C; Zebrafish nr6a1a/nr6a1b knockdown and mRNA rescue experiments; Genome-first approach (UK100K Genomes Project) and MAC/MA cohorts
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Six rare NR6A1 variants identified across two cohorts (NEI coloboma/OVR and UK100KGP MAC) supporting autosomal dominant OVR syndrome.- Missense variants R92W and R436C cause distinct functional defects (DNA-binding disruption for R92W; cytoplasmic retention for R436C).- Zebrafish nr6a1a/nr6a1b knockdown recapitulates ocular, vertebral, and renal phenotypes; wild‑type NR6A1 mRNA rescues, but R92W/R436C variants do not.-...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107527/c1a-p6xp7-0v09wnpnsq1o-mjqylx.png"></itunes:image>
                                                                            <itunes:duration>00:17:12</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[83: Dup15q in Focus: Single-cell traces of metabolic and synaptic change]]>
                </title>
                <pubDate>Tue, 22 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    843ef12e-f0a8-442f-8523-9a2a56cffb2c</guid>
                                    <link>https://basebybase.castos.com/episodes/dup15q-single-cell-changes-autism-ep83</link>
                                <description>
                                            <![CDATA[<p>Perez Y et al., Nature Communications - This episode reviews a single-cell and spatial transcriptomic study of dup15q syndrome using patient postmortem cortex and hiPSC-derived cortical organoids. The work maps developmental metabolic shifts, layer-identity changes, and postnatal synaptic transcriptional burdens linked to autism. Key terms: dup15q, single-cell RNA-seq, cortical organoids, glycolysis, autism.</p>
<p> Study Highlights:<br />The authors profiled 345,861 postmortem nuclei and 106,302 organoid cells to map cell-type specific transcriptional changes in dup15q. Early organoid progenitors and deep-layer neurons showed increased glycolysis, degraded layer identity, and reduced neurite arborization. In adolescent-adult postmortem cortex, upper-layer neurons carried elevated synaptic transcriptional burden that overlaps idiopathic autism. Conserved gene co-expression modules link metabolic reprogramming to synaptic and ion-channel networks across organoids and tissue.</p>
<p> Conclusion:<br />Dup15q drives dynamic, cell-type specific molecular shifts from prenatal metabolic reprogramming in progenitors and deep-layer neurons to postnatal synaptic transcriptional changes in upper-layer neurons, highlighting metabolic and synaptic networks as convergent features of syndromic and idiopathic autism.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Single-cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism</p>
<p> First author:<br />Perez Y</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61184-4</p>
<p> Reference:<br />Perez Y, Velmeshev D, Wang L, et al. Single-cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism. Nature Communications. 2025;16:6177. doi:10.1038/s41467-025-61184-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/dup15q-single-cell-changes-autism-ep83</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the main scientific narrative described in the transcript against the canonical article.</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- dup15q leads to increased glycolysis in deep-layer neurons during fetal-stage organoids<br />- DL neurons show degraded layer identity with co-expression of DL and UL markers<br />- Sholl analysis shows reduced arborization of dup15q deep-layer neurons in organoids and after xenotransplantation into mice<br />- adolescent/adult postmortem UL neurons exhibit increased synaptic transcriptional burden overlapping idiopathic autism<br />- MAPK signaling pathways are implicated and converge with idiopathic ASD<br />- Conserved co-expression modules between organoids and postmortem tissue (L5_6.2 glycolysis; L5_6.7 synaptic/ion-channel)</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Perez Y et al., Nature Communications - This episode reviews a single-cell and spatial transcriptomic study of dup15q syndrome using patient postmortem cortex and hiPSC-derived cortical organoids. The work maps developmental metabolic shifts, layer-identity changes, and postnatal synaptic transcriptional burdens linked to autism. Key terms: dup15q, single-cell RNA-seq, cortical organoids, glycolysis, autism.
 Study Highlights:The authors profiled 345,861 postmortem nuclei and 106,302 organoid cells to map cell-type specific transcriptional changes in dup15q. Early organoid progenitors and deep-layer neurons showed increased glycolysis, degraded layer identity, and reduced neurite arborization. In adolescent-adult postmortem cortex, upper-layer neurons carried elevated synaptic transcriptional burden that overlaps idiopathic autism. Conserved gene co-expression modules link metabolic reprogramming to synaptic and ion-channel networks across organoids and tissue.
 Conclusion:Dup15q drives dynamic, cell-type specific molecular shifts from prenatal metabolic reprogramming in progenitors and deep-layer neurons to postnatal synaptic transcriptional changes in upper-layer neurons, highlighting metabolic and synaptic networks as convergent features of syndromic and idiopathic autism.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Single-cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism
 First author:Perez Y
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61184-4
 Reference:Perez Y, Velmeshev D, Wang L, et al. Single-cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism. Nature Communications. 2025;16:6177. doi:10.1038/s41467-025-61184-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/dup15q-single-cell-changes-autism-ep83
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the main scientific narrative described in the transcript against the canonical article.
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- dup15q leads to increased glycolysis in deep-layer neurons during fetal-stage organoids- DL neurons show degraded layer identity with co-expression of DL and UL markers- Sholl analysis shows reduced arborization of dup15q deep-layer neurons in organoids and after xenotransplantation into mice- adolescent/adult postmortem UL neurons exhibit increased synaptic transcriptional burden overlapping idiopathic autism- MAPK signaling pathways are implicated and converge with idiopathic ASD- Conserved co-expression modules between organoids and postmortem tissue (L5_6.2 glycolysis; L5_6.7 synaptic/ion-channel)
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[83: Dup15q in Focus: Single-cell traces of metabolic and synaptic change]]>
                </itunes:title>
                                    <itunes:episode>83</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Perez Y et al., Nature Communications - This episode reviews a single-cell and spatial transcriptomic study of dup15q syndrome using patient postmortem cortex and hiPSC-derived cortical organoids. The work maps developmental metabolic shifts, layer-identity changes, and postnatal synaptic transcriptional burdens linked to autism. Key terms: dup15q, single-cell RNA-seq, cortical organoids, glycolysis, autism.</p>
<p> Study Highlights:<br />The authors profiled 345,861 postmortem nuclei and 106,302 organoid cells to map cell-type specific transcriptional changes in dup15q. Early organoid progenitors and deep-layer neurons showed increased glycolysis, degraded layer identity, and reduced neurite arborization. In adolescent-adult postmortem cortex, upper-layer neurons carried elevated synaptic transcriptional burden that overlaps idiopathic autism. Conserved gene co-expression modules link metabolic reprogramming to synaptic and ion-channel networks across organoids and tissue.</p>
<p> Conclusion:<br />Dup15q drives dynamic, cell-type specific molecular shifts from prenatal metabolic reprogramming in progenitors and deep-layer neurons to postnatal synaptic transcriptional changes in upper-layer neurons, highlighting metabolic and synaptic networks as convergent features of syndromic and idiopathic autism.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Single-cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism</p>
<p> First author:<br />Perez Y</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61184-4</p>
<p> Reference:<br />Perez Y, Velmeshev D, Wang L, et al. Single-cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism. Nature Communications. 2025;16:6177. doi:10.1038/s41467-025-61184-4</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/dup15q-single-cell-changes-autism-ep83</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the main scientific narrative described in the transcript against the canonical article.</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- dup15q leads to increased glycolysis in deep-layer neurons during fetal-stage organoids<br />- DL neurons show degraded layer identity with co-expression of DL and UL markers<br />- Sholl analysis shows reduced arborization of dup15q deep-layer neurons in organoids and after xenotransplantation into mice<br />- adolescent/adult postmortem UL neurons exhibit increased synaptic transcriptional burden overlapping idiopathic autism<br />- MAPK signaling pathways are implicated and converge with idiopathic ASD<br />- Conserved co-expression modules between organoids and postmortem tissue (L5_6.2 glycolysis; L5_6.7 synaptic/ion-channel)</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Perez Y et al., Nature Communications - This episode reviews a single-cell and spatial transcriptomic study of dup15q syndrome using patient postmortem cortex and hiPSC-derived cortical organoids. The work maps developmental metabolic shifts, layer-identity changes, and postnatal synaptic transcriptional burdens linked to autism. Key terms: dup15q, single-cell RNA-seq, cortical organoids, glycolysis, autism.
 Study Highlights:The authors profiled 345,861 postmortem nuclei and 106,302 organoid cells to map cell-type specific transcriptional changes in dup15q. Early organoid progenitors and deep-layer neurons showed increased glycolysis, degraded layer identity, and reduced neurite arborization. In adolescent-adult postmortem cortex, upper-layer neurons carried elevated synaptic transcriptional burden that overlaps idiopathic autism. Conserved gene co-expression modules link metabolic reprogramming to synaptic and ion-channel networks across organoids and tissue.
 Conclusion:Dup15q drives dynamic, cell-type specific molecular shifts from prenatal metabolic reprogramming in progenitors and deep-layer neurons to postnatal synaptic transcriptional changes in upper-layer neurons, highlighting metabolic and synaptic networks as convergent features of syndromic and idiopathic autism.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Single-cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism
 First author:Perez Y
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61184-4
 Reference:Perez Y, Velmeshev D, Wang L, et al. Single-cell analysis of dup15q syndrome reveals developmental and postnatal molecular changes in autism. Nature Communications. 2025;16:6177. doi:10.1038/s41467-025-61184-4
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/dup15q-single-cell-changes-autism-ep83
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the main scientific narrative described in the transcript against the canonical article.
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- dup15q leads to increased glycolysis in deep-layer neurons during fetal-stage organoids- DL neurons show degraded layer identity with co-expression of DL and UL markers- Sholl analysis shows reduced arborization of dup15q deep-layer neurons in organoids and after xenotransplantation into mice- adolescent/adult postmortem UL neurons exhibit increased synaptic transcriptional burden overlapping idiopathic autism- MAPK signaling pathways are implicated and converge with idiopathic ASD- Conserved co-expression modules between organoids and postmortem tissue (L5_6.2 glycolysis; L5_6.7 synaptic/ion-channel)
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107528/c1a-p6xp7-474ow6pjtm83-clevqf.png"></itunes:image>
                                                                            <itunes:duration>00:25:47</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[82: JAK2 inhibition drives RAS clonal selection in myelofibrosis]]>
                </title>
                <pubDate>Mon, 21 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    f0ed7936-126f-46d3-96cf-3b88e4b38dc5</guid>
                                    <link>https://basebybase.castos.com/episodes/ep82-jak2-inhibition-ras-selection-mpn</link>
                                <description>
                                            <![CDATA[<p>Maslah N et al., Nature Communications - Translational study showing ruxolitinib and JAK2 suppression select for RAS pathway–mutant clones in myelofibrosis, enhancing their fitness via MAPK activation and linking this selection to worse clinical outcomes in treated patients. Key terms: ruxolitinib, JAK2, RAS mutations, myelofibrosis, clonal evolution.</p>
<p> Study Highlights:<br />Longitudinal NGS of 143 myelofibrosis patients and targeted analyses show ruxolitinib exposure is associated with accumulation and increased VAF of NRAS/KRAS/CBL mutations compared with non-exposed patients. Single-cell DNA sequencing and ex vivo CD34+ assays demonstrate ruxolitinib selects RAS-mutant clones both inside and outside JAK/STAT-activated driver clones. In vitro and in vivo competition models and Jak2 knockdown reveal JAK2 inhibition increases RAS-mutant cellular fitness via MAPK pathway activation and release from oncogene-induced senescence. Clinically, RAS pathway mutations predict worse transformation-free and overall survival only in ruxolitinib-treated patients.</p>
<p> Conclusion:<br />JAK2 inhibition can promote selection and expansion of RAS-mutant clones in MPNs through MAPK-driven fitness advantages, supporting RAS screening and consideration of combinatorial strategies when using JAK inhibitors.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms</p>
<p> First author:<br />Maslah N</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60884-1</p>
<p> Reference:<br />Maslah N, Kaci N, Roux B, et al. JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms. Nat Commun. 2025;16:6270. doi:10.1038/s41467-025-60884-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep82-jak2-inhibition-ras-selection-mpn</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering JAK2 inhibition, Ras/MAPK clonal selection, single-cell sequencing and ex vivo CD34+ cell data, in vivo murine competition models, clinical outcome associations, and therapeutic implications.<br />- transcript topics: JAK-STAT signaling and JAK inhibitors; RAS pathway mutations and clonal selection (NRAS/KRAS/CBL); Single-cell sequencing and ex vivo CD34+ cell experiments; In vivo murine bone marrow competition and transplantation models; MAPK activation and rescue from oncogene-induced senescence; Clinical outcomes: transformation-free survival and overall survival</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Ruxolitinib exposure is associated with accumulation/selection of RAS pathway mutations (NRAS, KRAS, CBL) in myelofibrosis patients.<br />- RAS mutations predict worse transformation-free survival and overall survival primarily in the context of ruxolitinib treatment.<br /></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Maslah N et al., Nature Communications - Translational study showing ruxolitinib and JAK2 suppression select for RAS pathway–mutant clones in myelofibrosis, enhancing their fitness via MAPK activation and linking this selection to worse clinical outcomes in treated patients. Key terms: ruxolitinib, JAK2, RAS mutations, myelofibrosis, clonal evolution.
 Study Highlights:Longitudinal NGS of 143 myelofibrosis patients and targeted analyses show ruxolitinib exposure is associated with accumulation and increased VAF of NRAS/KRAS/CBL mutations compared with non-exposed patients. Single-cell DNA sequencing and ex vivo CD34+ assays demonstrate ruxolitinib selects RAS-mutant clones both inside and outside JAK/STAT-activated driver clones. In vitro and in vivo competition models and Jak2 knockdown reveal JAK2 inhibition increases RAS-mutant cellular fitness via MAPK pathway activation and release from oncogene-induced senescence. Clinically, RAS pathway mutations predict worse transformation-free and overall survival only in ruxolitinib-treated patients.
 Conclusion:JAK2 inhibition can promote selection and expansion of RAS-mutant clones in MPNs through MAPK-driven fitness advantages, supporting RAS screening and consideration of combinatorial strategies when using JAK inhibitors.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms
 First author:Maslah N
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60884-1
 Reference:Maslah N, Kaci N, Roux B, et al. JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms. Nat Commun. 2025;16:6270. doi:10.1038/s41467-025-60884-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep82-jak2-inhibition-ras-selection-mpn
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering JAK2 inhibition, Ras/MAPK clonal selection, single-cell sequencing and ex vivo CD34+ cell data, in vivo murine competition models, clinical outcome associations, and therapeutic implications.- transcript topics: JAK-STAT signaling and JAK inhibitors; RAS pathway mutations and clonal selection (NRAS/KRAS/CBL); Single-cell sequencing and ex vivo CD34+ cell experiments; In vivo murine bone marrow competition and transplantation models; MAPK activation and rescue from oncogene-induced senescence; Clinical outcomes: transformation-free survival and overall survival
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Ruxolitinib exposure is associated with accumulation/selection of RAS pathway mutations (NRAS, KRAS, CBL) in myelofibrosis patients.- RAS mutations predict worse transformation-free survival and overall survival primarily in the context of ruxolitinib treatment.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[82: JAK2 inhibition drives RAS clonal selection in myelofibrosis]]>
                </itunes:title>
                                    <itunes:episode>82</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Maslah N et al., Nature Communications - Translational study showing ruxolitinib and JAK2 suppression select for RAS pathway–mutant clones in myelofibrosis, enhancing their fitness via MAPK activation and linking this selection to worse clinical outcomes in treated patients. Key terms: ruxolitinib, JAK2, RAS mutations, myelofibrosis, clonal evolution.</p>
<p> Study Highlights:<br />Longitudinal NGS of 143 myelofibrosis patients and targeted analyses show ruxolitinib exposure is associated with accumulation and increased VAF of NRAS/KRAS/CBL mutations compared with non-exposed patients. Single-cell DNA sequencing and ex vivo CD34+ assays demonstrate ruxolitinib selects RAS-mutant clones both inside and outside JAK/STAT-activated driver clones. In vitro and in vivo competition models and Jak2 knockdown reveal JAK2 inhibition increases RAS-mutant cellular fitness via MAPK pathway activation and release from oncogene-induced senescence. Clinically, RAS pathway mutations predict worse transformation-free and overall survival only in ruxolitinib-treated patients.</p>
<p> Conclusion:<br />JAK2 inhibition can promote selection and expansion of RAS-mutant clones in MPNs through MAPK-driven fitness advantages, supporting RAS screening and consideration of combinatorial strategies when using JAK inhibitors.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms</p>
<p> First author:<br />Maslah N</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60884-1</p>
<p> Reference:<br />Maslah N, Kaci N, Roux B, et al. JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms. Nat Commun. 2025;16:6270. doi:10.1038/s41467-025-60884-1</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep82-jak2-inhibition-ras-selection-mpn</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering JAK2 inhibition, Ras/MAPK clonal selection, single-cell sequencing and ex vivo CD34+ cell data, in vivo murine competition models, clinical outcome associations, and therapeutic implications.<br />- transcript topics: JAK-STAT signaling and JAK inhibitors; RAS pathway mutations and clonal selection (NRAS/KRAS/CBL); Single-cell sequencing and ex vivo CD34+ cell experiments; In vivo murine bone marrow competition and transplantation models; MAPK activation and rescue from oncogene-induced senescence; Clinical outcomes: transformation-free survival and overall survival</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Ruxolitinib exposure is associated with accumulation/selection of RAS pathway mutations (NRAS, KRAS, CBL) in myelofibrosis patients.<br />- RAS mutations predict worse transformation-free survival and overall survival primarily in the context of ruxolitinib treatment.<br />- MAPK pathway activation is linked to JAK2 downregulation, increasing oncogenic potential of RAS mutations under JAK2 inhibition.<br />- RAS-mutant clones can be selected under JAK2 inhibition in both JAK/STAT hyper-activated and WT contexts (driver vs non-driver clones).<br />- Ex vivo treatment of CD34+ cells and single-cell sequencing corroborate RAS clonal selection under ruxolitinib, with in vivo bone-marrow competition mirroring these effects.<br />- MEK inhibition (trametinib) alongside JAK inhibition can prevent expansion of RAS-mutant clones in model systems.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Maslah N et al., Nature Communications - Translational study showing ruxolitinib and JAK2 suppression select for RAS pathway–mutant clones in myelofibrosis, enhancing their fitness via MAPK activation and linking this selection to worse clinical outcomes in treated patients. Key terms: ruxolitinib, JAK2, RAS mutations, myelofibrosis, clonal evolution.
 Study Highlights:Longitudinal NGS of 143 myelofibrosis patients and targeted analyses show ruxolitinib exposure is associated with accumulation and increased VAF of NRAS/KRAS/CBL mutations compared with non-exposed patients. Single-cell DNA sequencing and ex vivo CD34+ assays demonstrate ruxolitinib selects RAS-mutant clones both inside and outside JAK/STAT-activated driver clones. In vitro and in vivo competition models and Jak2 knockdown reveal JAK2 inhibition increases RAS-mutant cellular fitness via MAPK pathway activation and release from oncogene-induced senescence. Clinically, RAS pathway mutations predict worse transformation-free and overall survival only in ruxolitinib-treated patients.
 Conclusion:JAK2 inhibition can promote selection and expansion of RAS-mutant clones in MPNs through MAPK-driven fitness advantages, supporting RAS screening and consideration of combinatorial strategies when using JAK inhibitors.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms
 First author:Maslah N
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60884-1
 Reference:Maslah N, Kaci N, Roux B, et al. JAK2 inhibition mediates clonal selection of RAS pathway mutations in myeloproliferative neoplasms. Nat Commun. 2025;16:6270. doi:10.1038/s41467-025-60884-1
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep82-jak2-inhibition-ras-selection-mpn
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering JAK2 inhibition, Ras/MAPK clonal selection, single-cell sequencing and ex vivo CD34+ cell data, in vivo murine competition models, clinical outcome associations, and therapeutic implications.- transcript topics: JAK-STAT signaling and JAK inhibitors; RAS pathway mutations and clonal selection (NRAS/KRAS/CBL); Single-cell sequencing and ex vivo CD34+ cell experiments; In vivo murine bone marrow competition and transplantation models; MAPK activation and rescue from oncogene-induced senescence; Clinical outcomes: transformation-free survival and overall survival
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Ruxolitinib exposure is associated with accumulation/selection of RAS pathway mutations (NRAS, KRAS, CBL) in myelofibrosis patients.- RAS mutations predict worse transformation-free survival and overall survival primarily in the context of ruxolitinib treatment.]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:19:07</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[81: Pharmacogenetics in a Large Chinese Cohort]]>
                </title>
                <pubDate>Sun, 20 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    4652ba20-3573-4fcf-bd64-93b159441af7</guid>
                                    <link>https://basebybase.castos.com/episodes/pgx-tpmi-chinese-cohort-2025</link>
                                <description>
                                            <![CDATA[<p>Wei C-Y et al et al., Nature Communications - Retrospective analysis of 486,956 Han Chinese from the Taiwan Precision Medicine Initiative evaluated prevalence and clinical impact of actionable pharmacogenetic (PGx) variants across 19 genes and 58 drugs, with focused outcome analyses for four gene–drug pairs. Findings confirm widespread PGx variation and statistically increased risks for some adverse events, but absolute excess risks were small and most variant carriers tolerated therapy. Key terms: pharmacogenetics, Taiwan Precision Medicine Initiative, clopidogrel, azathioprine, statins.</p>
<p> Study Highlights:<br />In 486,956 TPMI participants, 99.9% carried at least one actionable PGx variant and the mean per person was 4.3 variants. Nearly half had been prescribed at least one drug with PGx recommendations and 17.8% received high-risk drugs without prior genotyping. Analyses of CYP2C19–clopidogrel, NUDT15/TPMT–azathioprine, ABCG2/CYP2C9/SLCO1B1–statins, and CYP2C9–NSAIDs validated genotype–ADE associations but showed small absolute excess risks and that most carriers did not experience adverse events. The results highlight implementation complexity and the need to integrate PGx with clinical factors.</p>
<p> Conclusion:<br />Actionable PGx variants are ubiquitous in this Han Chinese cohort and confer statistically significant risks for drug-related adverse events in several gene–drug pairs, but absolute risk increases are modest and most carriers tolerate treatment; clinical implementation should be cautious and combined with clinical, environmental and additional genetic data.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Clinical impact of pharmacogenetic risk variants in a large chinese cohort</p>
<p> First author:<br />Wei C-Y et al</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61644-x</p>
<p> Reference:<br />Wei C-Y et al., Clinical impact of pharmacogenetic risk variants in a large Chinese cohort. Nature Communications (2025). doi:10.1038/s41467-025-61644-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pgx-tpmi-chinese-cohort-2025</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's discussion of the TPMI cohort (size, data sources), the four gene–drug pairs (AZA/NUDT15-TPMT, clopidogrel/CYP2C19, statins/ABCG2-CYP2C9/SLCO1B1, NSAIDs/CYP2C9), the core results (relative vs absolute risk), and the study limitations (CYP2D6 exclusion, phenoconversion, EMR data scope).<br />- transcript topics: TPMI cohort size and data sources (Han Chinese, EMR, SNP arrays); Four pharmacogenes–drug pairs: AZA (NUDT15/TPMT), clopidogrel (CYP2C19), statins (ABCG2/CYP2C9/SLCO1B1), NSAIDs (CYP2C9); Relative vs absolute risk interpretation and clinical utility of PGx; Limitations and future directions (phenoconversion, CYP2D6 exclusion, SNP-array limits, EMR data limits)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />-...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Wei C-Y et al et al., Nature Communications - Retrospective analysis of 486,956 Han Chinese from the Taiwan Precision Medicine Initiative evaluated prevalence and clinical impact of actionable pharmacogenetic (PGx) variants across 19 genes and 58 drugs, with focused outcome analyses for four gene–drug pairs. Findings confirm widespread PGx variation and statistically increased risks for some adverse events, but absolute excess risks were small and most variant carriers tolerated therapy. Key terms: pharmacogenetics, Taiwan Precision Medicine Initiative, clopidogrel, azathioprine, statins.
 Study Highlights:In 486,956 TPMI participants, 99.9% carried at least one actionable PGx variant and the mean per person was 4.3 variants. Nearly half had been prescribed at least one drug with PGx recommendations and 17.8% received high-risk drugs without prior genotyping. Analyses of CYP2C19–clopidogrel, NUDT15/TPMT–azathioprine, ABCG2/CYP2C9/SLCO1B1–statins, and CYP2C9–NSAIDs validated genotype–ADE associations but showed small absolute excess risks and that most carriers did not experience adverse events. The results highlight implementation complexity and the need to integrate PGx with clinical factors.
 Conclusion:Actionable PGx variants are ubiquitous in this Han Chinese cohort and confer statistically significant risks for drug-related adverse events in several gene–drug pairs, but absolute risk increases are modest and most carriers tolerate treatment; clinical implementation should be cautious and combined with clinical, environmental and additional genetic data.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Clinical impact of pharmacogenetic risk variants in a large chinese cohort
 First author:Wei C-Y et al
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61644-x
 Reference:Wei C-Y et al., Clinical impact of pharmacogenetic risk variants in a large Chinese cohort. Nature Communications (2025). doi:10.1038/s41467-025-61644-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pgx-tpmi-chinese-cohort-2025
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's discussion of the TPMI cohort (size, data sources), the four gene–drug pairs (AZA/NUDT15-TPMT, clopidogrel/CYP2C19, statins/ABCG2-CYP2C9/SLCO1B1, NSAIDs/CYP2C9), the core results (relative vs absolute risk), and the study limitations (CYP2D6 exclusion, phenoconversion, EMR data scope).- transcript topics: TPMI cohort size and data sources (Han Chinese, EMR, SNP arrays); Four pharmacogenes–drug pairs: AZA (NUDT15/TPMT), clopidogrel (CYP2C19), statins (ABCG2/CYP2C9/SLCO1B1), NSAIDs (CYP2C9); Relative vs absolute risk interpretation and clinical utility of PGx; Limitations and future directions (phenoconversion, CYP2D6 exclusion, SNP-array limits, EMR data limits)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal-...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[81: Pharmacogenetics in a Large Chinese Cohort]]>
                </itunes:title>
                                    <itunes:episode>81</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Wei C-Y et al et al., Nature Communications - Retrospective analysis of 486,956 Han Chinese from the Taiwan Precision Medicine Initiative evaluated prevalence and clinical impact of actionable pharmacogenetic (PGx) variants across 19 genes and 58 drugs, with focused outcome analyses for four gene–drug pairs. Findings confirm widespread PGx variation and statistically increased risks for some adverse events, but absolute excess risks were small and most variant carriers tolerated therapy. Key terms: pharmacogenetics, Taiwan Precision Medicine Initiative, clopidogrel, azathioprine, statins.</p>
<p> Study Highlights:<br />In 486,956 TPMI participants, 99.9% carried at least one actionable PGx variant and the mean per person was 4.3 variants. Nearly half had been prescribed at least one drug with PGx recommendations and 17.8% received high-risk drugs without prior genotyping. Analyses of CYP2C19–clopidogrel, NUDT15/TPMT–azathioprine, ABCG2/CYP2C9/SLCO1B1–statins, and CYP2C9–NSAIDs validated genotype–ADE associations but showed small absolute excess risks and that most carriers did not experience adverse events. The results highlight implementation complexity and the need to integrate PGx with clinical factors.</p>
<p> Conclusion:<br />Actionable PGx variants are ubiquitous in this Han Chinese cohort and confer statistically significant risks for drug-related adverse events in several gene–drug pairs, but absolute risk increases are modest and most carriers tolerate treatment; clinical implementation should be cautious and combined with clinical, environmental and additional genetic data.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Clinical impact of pharmacogenetic risk variants in a large chinese cohort</p>
<p> First author:<br />Wei C-Y et al</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61644-x</p>
<p> Reference:<br />Wei C-Y et al., Clinical impact of pharmacogenetic risk variants in a large Chinese cohort. Nature Communications (2025). doi:10.1038/s41467-025-61644-x</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pgx-tpmi-chinese-cohort-2025</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's discussion of the TPMI cohort (size, data sources), the four gene–drug pairs (AZA/NUDT15-TPMT, clopidogrel/CYP2C19, statins/ABCG2-CYP2C9/SLCO1B1, NSAIDs/CYP2C9), the core results (relative vs absolute risk), and the study limitations (CYP2D6 exclusion, phenoconversion, EMR data scope).<br />- transcript topics: TPMI cohort size and data sources (Han Chinese, EMR, SNP arrays); Four pharmacogenes–drug pairs: AZA (NUDT15/TPMT), clopidogrel (CYP2C19), statins (ABCG2/CYP2C9/SLCO1B1), NSAIDs (CYP2C9); Relative vs absolute risk interpretation and clinical utility of PGx; Limitations and future directions (phenoconversion, CYP2D6 exclusion, SNP-array limits, EMR data limits)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Cohort size: TPMI includes 486,956 Han Chinese participants<br />- Average number of actionable PGx variants per person: 4.3<br />- Proportion prescribed at least one PGx drug: 48.7%<br />- Proportion with actionable PGx variants who took high‑risk drugs: 17.8%<br />- Four gene–drug pairs analyzed: azathioprine (NUDT15/TPMT), clopidogrel (CYP2C19), statins (ABCG2/CYP2C9/SLCO1B1), NSAIDs (CYP2C9)<br />- CYP2C19 LOF carriers with clopidogrel had higher MACE risk (OR ~1.53); 85.9% tolerated clopidogrel</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Wei C-Y et al et al., Nature Communications - Retrospective analysis of 486,956 Han Chinese from the Taiwan Precision Medicine Initiative evaluated prevalence and clinical impact of actionable pharmacogenetic (PGx) variants across 19 genes and 58 drugs, with focused outcome analyses for four gene–drug pairs. Findings confirm widespread PGx variation and statistically increased risks for some adverse events, but absolute excess risks were small and most variant carriers tolerated therapy. Key terms: pharmacogenetics, Taiwan Precision Medicine Initiative, clopidogrel, azathioprine, statins.
 Study Highlights:In 486,956 TPMI participants, 99.9% carried at least one actionable PGx variant and the mean per person was 4.3 variants. Nearly half had been prescribed at least one drug with PGx recommendations and 17.8% received high-risk drugs without prior genotyping. Analyses of CYP2C19–clopidogrel, NUDT15/TPMT–azathioprine, ABCG2/CYP2C9/SLCO1B1–statins, and CYP2C9–NSAIDs validated genotype–ADE associations but showed small absolute excess risks and that most carriers did not experience adverse events. The results highlight implementation complexity and the need to integrate PGx with clinical factors.
 Conclusion:Actionable PGx variants are ubiquitous in this Han Chinese cohort and confer statistically significant risks for drug-related adverse events in several gene–drug pairs, but absolute risk increases are modest and most carriers tolerate treatment; clinical implementation should be cautious and combined with clinical, environmental and additional genetic data.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Clinical impact of pharmacogenetic risk variants in a large chinese cohort
 First author:Wei C-Y et al
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61644-x
 Reference:Wei C-Y et al., Clinical impact of pharmacogenetic risk variants in a large Chinese cohort. Nature Communications (2025). doi:10.1038/s41467-025-61644-x
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pgx-tpmi-chinese-cohort-2025
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's discussion of the TPMI cohort (size, data sources), the four gene–drug pairs (AZA/NUDT15-TPMT, clopidogrel/CYP2C19, statins/ABCG2-CYP2C9/SLCO1B1, NSAIDs/CYP2C9), the core results (relative vs absolute risk), and the study limitations (CYP2D6 exclusion, phenoconversion, EMR data scope).- transcript topics: TPMI cohort size and data sources (Han Chinese, EMR, SNP arrays); Four pharmacogenes–drug pairs: AZA (NUDT15/TPMT), clopidogrel (CYP2C19), statins (ABCG2/CYP2C9/SLCO1B1), NSAIDs (CYP2C9); Relative vs absolute risk interpretation and clinical utility of PGx; Limitations and future directions (phenoconversion, CYP2D6 exclusion, SNP-array limits, EMR data limits)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal-...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107530/c1a-p6xp7-jpxdrzo2a1gw-hmz5iv.png"></itunes:image>
                                                                            <itunes:duration>00:21:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[80: Genome sequencing predicts outcomes after congenital cardiac surgery]]>
                </title>
                <pubDate>Sat, 19 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    9a3a7fbc-cb2f-4e10-ab31-bc8dcaae06ef</guid>
                                    <link>https://basebybase.castos.com/episodes/base-by-base-80-genome-sequencing-chd</link>
                                <description>
                                            <![CDATA[<p>Watkins WS et al et al., Nature Communications - A prospective observational study of 2,253 Pediatric Cardiac Genomics Consortium patients shows that whole-exome sequencing combined with AI genome interpretation and Bayesian networks improves prediction of adverse outcomes after congenital cardiac surgery. Damaging de novo variants in chromatin-modifying genes and recessive/biallelic variants in cilia-related genes increase risk of mortality, cardiac arrest, and prolonged ventilation, especially when combined with specific CHD phenotypes, surgical complexity, and extracardiac anomalies. Key terms: congenital heart disease, genome sequencing, chromatin-modifying genes, cilia genes, Bayesian networks.</p>
<p> Study Highlights:<br />In 2,253 CHD patients the AI tool GEM identified putative damaging genotypes in 10.6% of individuals. Damaging de novo chromatin variants increased probabilities of mortality, cardiac arrest, and prolonged ventilation (≈1.6–1.8-fold), while recessive cilia genotypes showed similar relative risk increases. Risks were amplified in specific contexts (LVO/HLHS, HTX, STAT4/5 surgeries and presence of extracardiac anomalies) and absence of damaging genotypes was associated with reduced risk. Bayesian network models quantified these conditional dependencies to enable personalized risk estimates.</p>
<p> Conclusion:<br />Genome sequencing, interpreted with AI and integrated into probabilistic clinical models, enriches outcome forecasting after congenital cardiac surgery and can inform preoperative risk stratification and targeted perioperative strategies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome sequencing is critical for forecasting outcomes following congenital cardiacsurgery</p>
<p> First author:<br />Watkins WS et al</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61625-0</p>
<p> Reference:<br />Watkins WS et al., Genome sequencing is critical for forecasting outcomes following congenital cardiacsurgery. Nature Communications (2025) 16:6365. https://doi.org/10.1038/s41467-025-61625-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-80-genome-sequencing-chd</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering CHD outcome prediction, AI-based phenotyping and GEM genomic interpretation, Bayesian network linkage of genotype to phenotype to outcomes, chromatin- and cilia-associated variant effects, ECAs, surgical complexity, rapid sequencing implications, and study limitations.<br />- transcript topics: CHD post-surgical outcome prediction; AI-based phenotyping using Fyler codes (LVO, HTX, AVC, CTD, OTH); GEM damaging variants in chromatin-modifying and cilia genes; Bayesian networks linking genotype to phenotype and outcomes; Impact of extracardiac anomalies and surgical complexity; Clinical implications of rapid genome sequencing for perioperative care</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Watkins WS et al et al., Nature Communications - A prospective observational study of 2,253 Pediatric Cardiac Genomics Consortium patients shows that whole-exome sequencing combined with AI genome interpretation and Bayesian networks improves prediction of adverse outcomes after congenital cardiac surgery. Damaging de novo variants in chromatin-modifying genes and recessive/biallelic variants in cilia-related genes increase risk of mortality, cardiac arrest, and prolonged ventilation, especially when combined with specific CHD phenotypes, surgical complexity, and extracardiac anomalies. Key terms: congenital heart disease, genome sequencing, chromatin-modifying genes, cilia genes, Bayesian networks.
 Study Highlights:In 2,253 CHD patients the AI tool GEM identified putative damaging genotypes in 10.6% of individuals. Damaging de novo chromatin variants increased probabilities of mortality, cardiac arrest, and prolonged ventilation (≈1.6–1.8-fold), while recessive cilia genotypes showed similar relative risk increases. Risks were amplified in specific contexts (LVO/HLHS, HTX, STAT4/5 surgeries and presence of extracardiac anomalies) and absence of damaging genotypes was associated with reduced risk. Bayesian network models quantified these conditional dependencies to enable personalized risk estimates.
 Conclusion:Genome sequencing, interpreted with AI and integrated into probabilistic clinical models, enriches outcome forecasting after congenital cardiac surgery and can inform preoperative risk stratification and targeted perioperative strategies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome sequencing is critical for forecasting outcomes following congenital cardiacsurgery
 First author:Watkins WS et al
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61625-0
 Reference:Watkins WS et al., Genome sequencing is critical for forecasting outcomes following congenital cardiacsurgery. Nature Communications (2025) 16:6365. https://doi.org/10.1038/s41467-025-61625-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-80-genome-sequencing-chd
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering CHD outcome prediction, AI-based phenotyping and GEM genomic interpretation, Bayesian network linkage of genotype to phenotype to outcomes, chromatin- and cilia-associated variant effects, ECAs, surgical complexity, rapid sequencing implications, and study limitations.- transcript topics: CHD post-surgical outcome prediction; AI-based phenotyping using Fyler codes (LVO, HTX, AVC, CTD, OTH); GEM damaging variants in chromatin-modifying and cilia genes; Bayesian networks linking genotype to phenotype and outcomes; Impact of extracardiac anomalies and surgical complexity; Clinical implications of rapid genome sequencing for perioperative care
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[80: Genome sequencing predicts outcomes after congenital cardiac surgery]]>
                </itunes:title>
                                    <itunes:episode>80</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Watkins WS et al et al., Nature Communications - A prospective observational study of 2,253 Pediatric Cardiac Genomics Consortium patients shows that whole-exome sequencing combined with AI genome interpretation and Bayesian networks improves prediction of adverse outcomes after congenital cardiac surgery. Damaging de novo variants in chromatin-modifying genes and recessive/biallelic variants in cilia-related genes increase risk of mortality, cardiac arrest, and prolonged ventilation, especially when combined with specific CHD phenotypes, surgical complexity, and extracardiac anomalies. Key terms: congenital heart disease, genome sequencing, chromatin-modifying genes, cilia genes, Bayesian networks.</p>
<p> Study Highlights:<br />In 2,253 CHD patients the AI tool GEM identified putative damaging genotypes in 10.6% of individuals. Damaging de novo chromatin variants increased probabilities of mortality, cardiac arrest, and prolonged ventilation (≈1.6–1.8-fold), while recessive cilia genotypes showed similar relative risk increases. Risks were amplified in specific contexts (LVO/HLHS, HTX, STAT4/5 surgeries and presence of extracardiac anomalies) and absence of damaging genotypes was associated with reduced risk. Bayesian network models quantified these conditional dependencies to enable personalized risk estimates.</p>
<p> Conclusion:<br />Genome sequencing, interpreted with AI and integrated into probabilistic clinical models, enriches outcome forecasting after congenital cardiac surgery and can inform preoperative risk stratification and targeted perioperative strategies.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Genome sequencing is critical for forecasting outcomes following congenital cardiacsurgery</p>
<p> First author:<br />Watkins WS et al</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61625-0</p>
<p> Reference:<br />Watkins WS et al., Genome sequencing is critical for forecasting outcomes following congenital cardiacsurgery. Nature Communications (2025) 16:6365. https://doi.org/10.1038/s41467-025-61625-0</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-80-genome-sequencing-chd</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering CHD outcome prediction, AI-based phenotyping and GEM genomic interpretation, Bayesian network linkage of genotype to phenotype to outcomes, chromatin- and cilia-associated variant effects, ECAs, surgical complexity, rapid sequencing implications, and study limitations.<br />- transcript topics: CHD post-surgical outcome prediction; AI-based phenotyping using Fyler codes (LVO, HTX, AVC, CTD, OTH); GEM damaging variants in chromatin-modifying and cilia genes; Bayesian networks linking genotype to phenotype and outcomes; Impact of extracardiac anomalies and surgical complexity; Clinical implications of rapid genome sequencing for perioperative care</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Cohort of 2,253 CHD patients analyzed with exome sequencing and perioperative outcomes<br />- GEM identified damaging genotypes in 238 participants (10.6%)<br />- Damaging de novo chromatin-modifying variants associated with ~1.8x mortality, ~1.7x cardiac arrest, and ~1.6x prolonged ventilation<br />- Damaging recessive/biallelic cilia variants associated with ~1.4x mortality, ~1.5x cardiac arrest, and ~1.4x prolonged ventilation<br />- Absence of damaging genotypes associated with reduced risk: mortality RR ~0.55 and prolonged ventilation RR ~0.70<br />- ECAs increase risk: mortality ~2.8x and prolonged ventilation ~1.7x; damaging genotypes enriched in probands with ECAs</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Watkins WS et al et al., Nature Communications - A prospective observational study of 2,253 Pediatric Cardiac Genomics Consortium patients shows that whole-exome sequencing combined with AI genome interpretation and Bayesian networks improves prediction of adverse outcomes after congenital cardiac surgery. Damaging de novo variants in chromatin-modifying genes and recessive/biallelic variants in cilia-related genes increase risk of mortality, cardiac arrest, and prolonged ventilation, especially when combined with specific CHD phenotypes, surgical complexity, and extracardiac anomalies. Key terms: congenital heart disease, genome sequencing, chromatin-modifying genes, cilia genes, Bayesian networks.
 Study Highlights:In 2,253 CHD patients the AI tool GEM identified putative damaging genotypes in 10.6% of individuals. Damaging de novo chromatin variants increased probabilities of mortality, cardiac arrest, and prolonged ventilation (≈1.6–1.8-fold), while recessive cilia genotypes showed similar relative risk increases. Risks were amplified in specific contexts (LVO/HLHS, HTX, STAT4/5 surgeries and presence of extracardiac anomalies) and absence of damaging genotypes was associated with reduced risk. Bayesian network models quantified these conditional dependencies to enable personalized risk estimates.
 Conclusion:Genome sequencing, interpreted with AI and integrated into probabilistic clinical models, enriches outcome forecasting after congenital cardiac surgery and can inform preoperative risk stratification and targeted perioperative strategies.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Genome sequencing is critical for forecasting outcomes following congenital cardiacsurgery
 First author:Watkins WS et al
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61625-0
 Reference:Watkins WS et al., Genome sequencing is critical for forecasting outcomes following congenital cardiacsurgery. Nature Communications (2025) 16:6365. https://doi.org/10.1038/s41467-025-61625-0
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-80-genome-sequencing-chd
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering CHD outcome prediction, AI-based phenotyping and GEM genomic interpretation, Bayesian network linkage of genotype to phenotype to outcomes, chromatin- and cilia-associated variant effects, ECAs, surgical complexity, rapid sequencing implications, and study limitations.- transcript topics: CHD post-surgical outcome prediction; AI-based phenotyping using Fyler codes (LVO, HTX, AVC, CTD, OTH); GEM damaging variants in chromatin-modifying and cilia genes; Bayesian networks linking genotype to phenotype and outcomes; Impact of extracardiac anomalies and surgical complexity; Clinical implications of rapid genome sequencing for perioperative care
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107531/c1a-p6xp7-z312xqwvi4kq-bjzqzl.png"></itunes:image>
                                                                            <itunes:duration>00:16:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[79: Cross-population GWAS and Proteomics Reveal AF Mechanisms and Better Risk Prediction]]>
                </title>
                <pubDate>Fri, 18 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    282df928-452c-49e6-aa3a-14dcaee35534</guid>
                                    <link>https://basebybase.castos.com/episodes/ep-79-cross-population-gwas-proteomics-af</link>
                                <description>
                                            <![CDATA[<p>Nature Communications - A large cross-population GWAS meta-analysis (168,007 AF cases) integrated with proteomic data identifies hundreds of AF loci, implicates cardiac and TGF-β pathways, finds causal risk factors and proteins via Mendelian randomization, and shows improved prediction when combining polygenic and protein scores. Key terms: atrial fibrillation, cross-population GWAS, proteomics, polygenic risk score, Mendelian randomization.</p>
<p> Study Highlights:<br />The cross-population meta-analysis identified 525 genome-wide significant loci for atrial fibrillation and prioritized likely causal genes. Pathway analyses implicated muscle development, heart contraction, TGF-β signaling and vascular and cytoskeletal processes. Mendelian randomization highlighted modifiable risk factors (obesity, blood pressure, diabetes, smoking, insomnia, lipids, alcohol) and implicated 28 circulating proteins with potential causal roles. Combining a polygenic risk score and a proteomic score substantially improved AF risk prediction compared with either alone.</p>
<p> Conclusion:<br />Integrating diverse GWAS with proteomics refines AF genetic architecture, reveals mechanistic pathways and candidate protein targets, and materially improves risk prediction when polygenic and protein scores are combined.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial ﬁbrillation</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61720-2</p>
<p> Reference:<br />https://doi.org/10.1038/s41467-025-61720-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep-79-cross-population-gwas-proteomics-af</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content describing cross-population AF GWAS, shared PITX2/ZFHX3 loci, Mendelian randomization of modifiable risk factors, NT-proBNP direction, proteomics (ProS) and polygenic scores (PGS), and risk-prediction improvements; included limitations and clinical implications.<br />- transcript topics: Cross-population GWAS meta-analysis for atrial fibrillation; Shared PITX2 and ZFHX3 loci across ancestries; Gene prioritization and AF pathways (muscle development, cardiogenesis, TGF-β signaling); Mendelian randomization of modifiable AF risk factors (BMI, insomnia, etc.); Proteomics integration and protein scoring (ProS) with polygenic scores (PGS); NT-proBNP paradox and causal direction in MR</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 4<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Cross-population GWAS meta-analysis included 168,007 AF cases and 1,959,739 controls across multiple ancestries<br />- Identified 525 genome-wide significant loci; 483 Europeans, 29 East Asians, 5 Africans, 2 admixed Americans; PITX2 and ZFHX3 shared across ancestries<br />- Pathway enrichment implicates muscle development, cardiogenesis, TGF-β...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nature Communications - A large cross-population GWAS meta-analysis (168,007 AF cases) integrated with proteomic data identifies hundreds of AF loci, implicates cardiac and TGF-β pathways, finds causal risk factors and proteins via Mendelian randomization, and shows improved prediction when combining polygenic and protein scores. Key terms: atrial fibrillation, cross-population GWAS, proteomics, polygenic risk score, Mendelian randomization.
 Study Highlights:The cross-population meta-analysis identified 525 genome-wide significant loci for atrial fibrillation and prioritized likely causal genes. Pathway analyses implicated muscle development, heart contraction, TGF-β signaling and vascular and cytoskeletal processes. Mendelian randomization highlighted modifiable risk factors (obesity, blood pressure, diabetes, smoking, insomnia, lipids, alcohol) and implicated 28 circulating proteins with potential causal roles. Combining a polygenic risk score and a proteomic score substantially improved AF risk prediction compared with either alone.
 Conclusion:Integrating diverse GWAS with proteomics refines AF genetic architecture, reveals mechanistic pathways and candidate protein targets, and materially improves risk prediction when polygenic and protein scores are combined.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial ﬁbrillation
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61720-2
 Reference:https://doi.org/10.1038/s41467-025-61720-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep-79-cross-population-gwas-proteomics-af
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content describing cross-population AF GWAS, shared PITX2/ZFHX3 loci, Mendelian randomization of modifiable risk factors, NT-proBNP direction, proteomics (ProS) and polygenic scores (PGS), and risk-prediction improvements; included limitations and clinical implications.- transcript topics: Cross-population GWAS meta-analysis for atrial fibrillation; Shared PITX2 and ZFHX3 loci across ancestries; Gene prioritization and AF pathways (muscle development, cardiogenesis, TGF-β signaling); Mendelian randomization of modifiable AF risk factors (BMI, insomnia, etc.); Proteomics integration and protein scoring (ProS) with polygenic scores (PGS); NT-proBNP paradox and causal direction in MR
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 4- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Cross-population GWAS meta-analysis included 168,007 AF cases and 1,959,739 controls across multiple ancestries- Identified 525 genome-wide significant loci; 483 Europeans, 29 East Asians, 5 Africans, 2 admixed Americans; PITX2 and ZFHX3 shared across ancestries- Pathway enrichment implicates muscle development, cardiogenesis, TGF-β...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[79: Cross-population GWAS and Proteomics Reveal AF Mechanisms and Better Risk Prediction]]>
                </itunes:title>
                                    <itunes:episode>79</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nature Communications - A large cross-population GWAS meta-analysis (168,007 AF cases) integrated with proteomic data identifies hundreds of AF loci, implicates cardiac and TGF-β pathways, finds causal risk factors and proteins via Mendelian randomization, and shows improved prediction when combining polygenic and protein scores. Key terms: atrial fibrillation, cross-population GWAS, proteomics, polygenic risk score, Mendelian randomization.</p>
<p> Study Highlights:<br />The cross-population meta-analysis identified 525 genome-wide significant loci for atrial fibrillation and prioritized likely causal genes. Pathway analyses implicated muscle development, heart contraction, TGF-β signaling and vascular and cytoskeletal processes. Mendelian randomization highlighted modifiable risk factors (obesity, blood pressure, diabetes, smoking, insomnia, lipids, alcohol) and implicated 28 circulating proteins with potential causal roles. Combining a polygenic risk score and a proteomic score substantially improved AF risk prediction compared with either alone.</p>
<p> Conclusion:<br />Integrating diverse GWAS with proteomics refines AF genetic architecture, reveals mechanistic pathways and candidate protein targets, and materially improves risk prediction when polygenic and protein scores are combined.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial ﬁbrillation</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-61720-2</p>
<p> Reference:<br />https://doi.org/10.1038/s41467-025-61720-2</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep-79-cross-population-gwas-proteomics-af</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content describing cross-population AF GWAS, shared PITX2/ZFHX3 loci, Mendelian randomization of modifiable risk factors, NT-proBNP direction, proteomics (ProS) and polygenic scores (PGS), and risk-prediction improvements; included limitations and clinical implications.<br />- transcript topics: Cross-population GWAS meta-analysis for atrial fibrillation; Shared PITX2 and ZFHX3 loci across ancestries; Gene prioritization and AF pathways (muscle development, cardiogenesis, TGF-β signaling); Mendelian randomization of modifiable AF risk factors (BMI, insomnia, etc.); Proteomics integration and protein scoring (ProS) with polygenic scores (PGS); NT-proBNP paradox and causal direction in MR</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 4<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Cross-population GWAS meta-analysis included 168,007 AF cases and 1,959,739 controls across multiple ancestries<br />- Identified 525 genome-wide significant loci; 483 Europeans, 29 East Asians, 5 Africans, 2 admixed Americans; PITX2 and ZFHX3 shared across ancestries<br />- Pathway enrichment implicates muscle development, cardiogenesis, TGF-β signaling, arterial morphogenesis, electrical coupling<br />- Mendelian randomization identified modifiable AF risk factors: BMI, waist-to-hip ratio, visceral adiposity, childhood BMI, LDL, type 2 diabetes, blood pressure, smoking initiation,<br />- 28 circulating proteins with potential causal associations to AF; NT-proBNP inversely related to AF risk in MR<br />- Proteomic score (ProS) built from 87 proteins; ProS AUC = 0.792; combined PGS+ProS AUC = 0.823; top-decile AF risk &gt;6-fold</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Nature Communications - A large cross-population GWAS meta-analysis (168,007 AF cases) integrated with proteomic data identifies hundreds of AF loci, implicates cardiac and TGF-β pathways, finds causal risk factors and proteins via Mendelian randomization, and shows improved prediction when combining polygenic and protein scores. Key terms: atrial fibrillation, cross-population GWAS, proteomics, polygenic risk score, Mendelian randomization.
 Study Highlights:The cross-population meta-analysis identified 525 genome-wide significant loci for atrial fibrillation and prioritized likely causal genes. Pathway analyses implicated muscle development, heart contraction, TGF-β signaling and vascular and cytoskeletal processes. Mendelian randomization highlighted modifiable risk factors (obesity, blood pressure, diabetes, smoking, insomnia, lipids, alcohol) and implicated 28 circulating proteins with potential causal roles. Combining a polygenic risk score and a proteomic score substantially improved AF risk prediction compared with either alone.
 Conclusion:Integrating diverse GWAS with proteomics refines AF genetic architecture, reveals mechanistic pathways and candidate protein targets, and materially improves risk prediction when polygenic and protein scores are combined.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Cross-population GWAS and proteomics improve risk prediction and reveal mechanisms in atrial ﬁbrillation
 Journal:Nature Communications
 DOI:10.1038/s41467-025-61720-2
 Reference:https://doi.org/10.1038/s41467-025-61720-2
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep-79-cross-population-gwas-proteomics-af
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content describing cross-population AF GWAS, shared PITX2/ZFHX3 loci, Mendelian randomization of modifiable risk factors, NT-proBNP direction, proteomics (ProS) and polygenic scores (PGS), and risk-prediction improvements; included limitations and clinical implications.- transcript topics: Cross-population GWAS meta-analysis for atrial fibrillation; Shared PITX2 and ZFHX3 loci across ancestries; Gene prioritization and AF pathways (muscle development, cardiogenesis, TGF-β signaling); Mendelian randomization of modifiable AF risk factors (BMI, insomnia, etc.); Proteomics integration and protein scoring (ProS) with polygenic scores (PGS); NT-proBNP paradox and causal direction in MR
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 4- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Cross-population GWAS meta-analysis included 168,007 AF cases and 1,959,739 controls across multiple ancestries- Identified 525 genome-wide significant loci; 483 Europeans, 29 East Asians, 5 Africans, 2 admixed Americans; PITX2 and ZFHX3 shared across ancestries- Pathway enrichment implicates muscle development, cardiogenesis, TGF-β...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107532/c1a-p6xp7-0v09wn5nbp0-qlzdbj.png"></itunes:image>
                                                                            <itunes:duration>00:17:17</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[78: Unloading Lipids: TTYH2 Meets APOE]]>
                </title>
                <pubDate>Thu, 17 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    df17f0d5-8dff-4e15-98c8-43cc38987a47</guid>
                                    <link>https://basebybase.castos.com/episodes/ttyh2-apoe-endosomal-lipid-transfer</link>
                                <description>
                                            <![CDATA[<p>Sukalskaia A et al., Nature - This Nature study identifies APOE as an interaction partner of human TTYH2, maps their endosomal colocalization and binding site by cryo-EM, and shows that TTYH2 accelerates lipid transfer from APOE-containing lipoproteins to membranes in vitro. Key terms: TTYH2, APOE, lipid transfer, endosomes, cryo-EM.</p>
<p> Study Highlights:<br />Using sybody pull-downs and mass spectrometry the authors identified APOE as a TTYH2 interaction partner and showed both proteins colocalize in endosomal fractions and by confocal microscopy. Single-molecule force spectroscopy and competitive sybody displacement localized the APOE-binding site to the extracellular tip of TTYH2. Cryo-EM of complexes and lipoprotein discs positioned APOE and lipids near a hydrophobic cavity that links the membrane and lumen, and high-resolution maps revealed a continuous lipid path into the cavity. In DPPC-enriched proteoliposomes, TTYH2 markedly accelerated transfer of fluorescent lipids from APOE-containing particles while no convincing scramblase activity was detected.</p>
<p> Conclusion:<br />TTYH2 binds APOE in endosomal compartments and functions as a paralogue-specific facilitator that brings lipids from APOE-containing lipoproteins into the membrane via a hydrophobic extracellular cavity; further cellular studies are needed to define physiological and pathological roles.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Interactions between TTYH2 and APOE facilitate endosomal lipid transfer</p>
<p> First author:<br />Sukalskaia A</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09200-x</p>
<p> Reference:<br />Sukalskaia A., Karner A., Pugnetti A., Weber F., Plochberger B. &amp; Dutzler R. Interactions between TTYH2 and APOE facilitate endosomal lipid transfer. Nature. doi:10.1038/s41586-025-09200-x (2025).</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ttyh2-apoe-endosomal-lipid-transfer</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's portrayal of the primary mechanistic claims and experimental evidence from the Nature article, including interaction evidence, endosomal localization, binding site, structural interpretation, lipoprotein-disc binding, lipid transfer kinetics, scramblase tests, and brain relevance.<br />- transcript topics: APOE–TTYH2 interaction and pull-down evidence; Endosomal colocalization of APOE and TTYH2; Extracellular tip epitope binding and cryo-EM mapping; APOE-containing lipoprotein discs and lipids near the hydrophobic cavity; Single-molecule force spectroscopy (SMFS) and koff measurements; In vitro lipid-transfer assays and DPPC liposome results</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- APOE identified as interaction partner of TTYH2; both proteins colocalize in endosomes<br />- TTYH2–APOE interactions observed across lipidation states; extracellu...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sukalskaia A et al., Nature - This Nature study identifies APOE as an interaction partner of human TTYH2, maps their endosomal colocalization and binding site by cryo-EM, and shows that TTYH2 accelerates lipid transfer from APOE-containing lipoproteins to membranes in vitro. Key terms: TTYH2, APOE, lipid transfer, endosomes, cryo-EM.
 Study Highlights:Using sybody pull-downs and mass spectrometry the authors identified APOE as a TTYH2 interaction partner and showed both proteins colocalize in endosomal fractions and by confocal microscopy. Single-molecule force spectroscopy and competitive sybody displacement localized the APOE-binding site to the extracellular tip of TTYH2. Cryo-EM of complexes and lipoprotein discs positioned APOE and lipids near a hydrophobic cavity that links the membrane and lumen, and high-resolution maps revealed a continuous lipid path into the cavity. In DPPC-enriched proteoliposomes, TTYH2 markedly accelerated transfer of fluorescent lipids from APOE-containing particles while no convincing scramblase activity was detected.
 Conclusion:TTYH2 binds APOE in endosomal compartments and functions as a paralogue-specific facilitator that brings lipids from APOE-containing lipoproteins into the membrane via a hydrophobic extracellular cavity; further cellular studies are needed to define physiological and pathological roles.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Interactions between TTYH2 and APOE facilitate endosomal lipid transfer
 First author:Sukalskaia A
 Journal:Nature
 DOI:10.1038/s41586-025-09200-x
 Reference:Sukalskaia A., Karner A., Pugnetti A., Weber F., Plochberger B. & Dutzler R. Interactions between TTYH2 and APOE facilitate endosomal lipid transfer. Nature. doi:10.1038/s41586-025-09200-x (2025).
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ttyh2-apoe-endosomal-lipid-transfer
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's portrayal of the primary mechanistic claims and experimental evidence from the Nature article, including interaction evidence, endosomal localization, binding site, structural interpretation, lipoprotein-disc binding, lipid transfer kinetics, scramblase tests, and brain relevance.- transcript topics: APOE–TTYH2 interaction and pull-down evidence; Endosomal colocalization of APOE and TTYH2; Extracellular tip epitope binding and cryo-EM mapping; APOE-containing lipoprotein discs and lipids near the hydrophobic cavity; Single-molecule force spectroscopy (SMFS) and koff measurements; In vitro lipid-transfer assays and DPPC liposome results
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- APOE identified as interaction partner of TTYH2; both proteins colocalize in endosomes- TTYH2–APOE interactions observed across lipidation states; extracellu...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[78: Unloading Lipids: TTYH2 Meets APOE]]>
                </itunes:title>
                                    <itunes:episode>78</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sukalskaia A et al., Nature - This Nature study identifies APOE as an interaction partner of human TTYH2, maps their endosomal colocalization and binding site by cryo-EM, and shows that TTYH2 accelerates lipid transfer from APOE-containing lipoproteins to membranes in vitro. Key terms: TTYH2, APOE, lipid transfer, endosomes, cryo-EM.</p>
<p> Study Highlights:<br />Using sybody pull-downs and mass spectrometry the authors identified APOE as a TTYH2 interaction partner and showed both proteins colocalize in endosomal fractions and by confocal microscopy. Single-molecule force spectroscopy and competitive sybody displacement localized the APOE-binding site to the extracellular tip of TTYH2. Cryo-EM of complexes and lipoprotein discs positioned APOE and lipids near a hydrophobic cavity that links the membrane and lumen, and high-resolution maps revealed a continuous lipid path into the cavity. In DPPC-enriched proteoliposomes, TTYH2 markedly accelerated transfer of fluorescent lipids from APOE-containing particles while no convincing scramblase activity was detected.</p>
<p> Conclusion:<br />TTYH2 binds APOE in endosomal compartments and functions as a paralogue-specific facilitator that brings lipids from APOE-containing lipoproteins into the membrane via a hydrophobic extracellular cavity; further cellular studies are needed to define physiological and pathological roles.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Interactions between TTYH2 and APOE facilitate endosomal lipid transfer</p>
<p> First author:<br />Sukalskaia A</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09200-x</p>
<p> Reference:<br />Sukalskaia A., Karner A., Pugnetti A., Weber F., Plochberger B. &amp; Dutzler R. Interactions between TTYH2 and APOE facilitate endosomal lipid transfer. Nature. doi:10.1038/s41586-025-09200-x (2025).</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ttyh2-apoe-endosomal-lipid-transfer</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's portrayal of the primary mechanistic claims and experimental evidence from the Nature article, including interaction evidence, endosomal localization, binding site, structural interpretation, lipoprotein-disc binding, lipid transfer kinetics, scramblase tests, and brain relevance.<br />- transcript topics: APOE–TTYH2 interaction and pull-down evidence; Endosomal colocalization of APOE and TTYH2; Extracellular tip epitope binding and cryo-EM mapping; APOE-containing lipoprotein discs and lipids near the hydrophobic cavity; Single-molecule force spectroscopy (SMFS) and koff measurements; In vitro lipid-transfer assays and DPPC liposome results</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- APOE identified as interaction partner of TTYH2; both proteins colocalize in endosomes<br />- TTYH2–APOE interactions observed across lipidation states; extracellular tip epitope implicated<br />- Cryo-EM shows APOE/lipids near a hydrophobic cavity in TTYH2; lipid belt/pathway described<br />- Lipid transfer from APOE-containing lipoproteins accelerated by TTYH2 in DPPC liposomes (14-fold)<br />- TTYH2 not acting as a scramblase; no convincing scramblase activity detected<br />- TTYH3 binds APOE poorly or not at all and does not accelerate lipid transfer</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Sukalskaia A et al., Nature - This Nature study identifies APOE as an interaction partner of human TTYH2, maps their endosomal colocalization and binding site by cryo-EM, and shows that TTYH2 accelerates lipid transfer from APOE-containing lipoproteins to membranes in vitro. Key terms: TTYH2, APOE, lipid transfer, endosomes, cryo-EM.
 Study Highlights:Using sybody pull-downs and mass spectrometry the authors identified APOE as a TTYH2 interaction partner and showed both proteins colocalize in endosomal fractions and by confocal microscopy. Single-molecule force spectroscopy and competitive sybody displacement localized the APOE-binding site to the extracellular tip of TTYH2. Cryo-EM of complexes and lipoprotein discs positioned APOE and lipids near a hydrophobic cavity that links the membrane and lumen, and high-resolution maps revealed a continuous lipid path into the cavity. In DPPC-enriched proteoliposomes, TTYH2 markedly accelerated transfer of fluorescent lipids from APOE-containing particles while no convincing scramblase activity was detected.
 Conclusion:TTYH2 binds APOE in endosomal compartments and functions as a paralogue-specific facilitator that brings lipids from APOE-containing lipoproteins into the membrane via a hydrophobic extracellular cavity; further cellular studies are needed to define physiological and pathological roles.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Interactions between TTYH2 and APOE facilitate endosomal lipid transfer
 First author:Sukalskaia A
 Journal:Nature
 DOI:10.1038/s41586-025-09200-x
 Reference:Sukalskaia A., Karner A., Pugnetti A., Weber F., Plochberger B. & Dutzler R. Interactions between TTYH2 and APOE facilitate endosomal lipid transfer. Nature. doi:10.1038/s41586-025-09200-x (2025).
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ttyh2-apoe-endosomal-lipid-transfer
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's portrayal of the primary mechanistic claims and experimental evidence from the Nature article, including interaction evidence, endosomal localization, binding site, structural interpretation, lipoprotein-disc binding, lipid transfer kinetics, scramblase tests, and brain relevance.- transcript topics: APOE–TTYH2 interaction and pull-down evidence; Endosomal colocalization of APOE and TTYH2; Extracellular tip epitope binding and cryo-EM mapping; APOE-containing lipoprotein discs and lipids near the hydrophobic cavity; Single-molecule force spectroscopy (SMFS) and koff measurements; In vitro lipid-transfer assays and DPPC liposome results
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- APOE identified as interaction partner of TTYH2; both proteins colocalize in endosomes- TTYH2–APOE interactions observed across lipidation states; extracellu...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107533/c1a-p6xp7-v6vdkqj6h94r-vmfzpc.png"></itunes:image>
                                                                            <itunes:duration>00:14:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[77: REX: a range extender for long-distance enhancer activity]]>
                </title>
                <pubDate>Wed, 16 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    8ec50acc-a5bd-434e-b5b0-d47969e41e23</guid>
                                    <link>https://basebybase.castos.com/episodes/rex-long-range-enhancer-activity</link>
                                <description>
                                            <![CDATA[<p>Bower G et al., Nature - This paper identifies a conserved cis element, REX, and a [C/T]AATTA homeodomain motif signature that are necessary and sufficient to convert short- and medium-range limb enhancers into megabase-range regulators of Shh during mouse limb development. Key terms: enhancer, long-range regulation, REX element, homeodomain motifs, Shh.</p>
<p> Study Highlights:<br />Transplanted short- and medium-range limb enhancers failed to activate Shh when placed at the endogenous ZRS location, despite maintaining open chromatin. A conserved adjacent sequence, named REX, lacks standalone enhancer activity but is necessary and sufficient to extend enhancer range, in one case increasing activity from 73 kb to 848 kb. The REX element and long-range enhancers are enriched for conserved [C/T]AATTA homeodomain motifs (LHX-like), and mutating these motifs in REX or in the endogenous ZRS abolishes long-range but not short-range activity, producing severe limb truncation in knock-in mice.</p>
<p> Conclusion:<br />Long-range enhancer–promoter communication can be genetically encoded by separable cis-elements and motif signatures: REX and conserved [C/T]AATTA motifs enable enhancers to act over megabase distances, uncoupling spatial specificity from genomic reach.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Range extender mediates long-distance enhancer activity</p>
<p> First author:<br />Bower G</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09221-6</p>
<p> Reference:<br />Bower G. et al., Nature (2025) doi:10.1038/s41586-025-09221-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/rex-long-range-enhancer-activity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcription of the article's central claims: discovery and necessity of REX, the role of CTATA/LHX/LEF1 motifs, long-range vs short-range enhancer behavior at Shh, in vivo enhancer-replacement and mutagenesis experiments, and the modular enhancer model.<br />- transcript topics: 3D genome organization and enhancer-promoter communication; ZRS/Shh regulatory architecture and long-range activation; REX element discovery and characterization; MM1492 and HS72 enhancer replacements at the Shh locus; CTATA/LHX/LEF1 motif roles in long-range regulation; ZRS HD motif mutagenesis and rescue experiments with REX</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- REX element is adjacent to a long-range limb enhancer (near HS72) and confers long-distance activity when added to short-range enhancers<br />- ZRS is located ~848 kb from Shh; short-range enhancers fail to activate Shh at this distance<br />- MM1492 (short-range enhancer, ~73 kb native range) can be extended to long-range activation when fused with REX (MM1492+REX) and placed at 848 kb from Shh<br />- REX alone lacks enhancer activity but is necessary for long-range activation; ZRS+RE...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Bower G et al., Nature - This paper identifies a conserved cis element, REX, and a [C/T]AATTA homeodomain motif signature that are necessary and sufficient to convert short- and medium-range limb enhancers into megabase-range regulators of Shh during mouse limb development. Key terms: enhancer, long-range regulation, REX element, homeodomain motifs, Shh.
 Study Highlights:Transplanted short- and medium-range limb enhancers failed to activate Shh when placed at the endogenous ZRS location, despite maintaining open chromatin. A conserved adjacent sequence, named REX, lacks standalone enhancer activity but is necessary and sufficient to extend enhancer range, in one case increasing activity from 73 kb to 848 kb. The REX element and long-range enhancers are enriched for conserved [C/T]AATTA homeodomain motifs (LHX-like), and mutating these motifs in REX or in the endogenous ZRS abolishes long-range but not short-range activity, producing severe limb truncation in knock-in mice.
 Conclusion:Long-range enhancer–promoter communication can be genetically encoded by separable cis-elements and motif signatures: REX and conserved [C/T]AATTA motifs enable enhancers to act over megabase distances, uncoupling spatial specificity from genomic reach.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Range extender mediates long-distance enhancer activity
 First author:Bower G
 Journal:Nature
 DOI:10.1038/s41586-025-09221-6
 Reference:Bower G. et al., Nature (2025) doi:10.1038/s41586-025-09221-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/rex-long-range-enhancer-activity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcription of the article's central claims: discovery and necessity of REX, the role of CTATA/LHX/LEF1 motifs, long-range vs short-range enhancer behavior at Shh, in vivo enhancer-replacement and mutagenesis experiments, and the modular enhancer model.- transcript topics: 3D genome organization and enhancer-promoter communication; ZRS/Shh regulatory architecture and long-range activation; REX element discovery and characterization; MM1492 and HS72 enhancer replacements at the Shh locus; CTATA/LHX/LEF1 motif roles in long-range regulation; ZRS HD motif mutagenesis and rescue experiments with REX
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- REX element is adjacent to a long-range limb enhancer (near HS72) and confers long-distance activity when added to short-range enhancers- ZRS is located ~848 kb from Shh; short-range enhancers fail to activate Shh at this distance- MM1492 (short-range enhancer, ~73 kb native range) can be extended to long-range activation when fused with REX (MM1492+REX) and placed at 848 kb from Shh- REX alone lacks enhancer activity but is necessary for long-range activation; ZRS+RE...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[77: REX: a range extender for long-distance enhancer activity]]>
                </itunes:title>
                                    <itunes:episode>77</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                    <![CDATA[<p>Bower G et al., Nature - This paper identifies a conserved cis element, REX, and a [C/T]AATTA homeodomain motif signature that are necessary and sufficient to convert short- and medium-range limb enhancers into megabase-range regulators of Shh during mouse limb development. Key terms: enhancer, long-range regulation, REX element, homeodomain motifs, Shh.</p>
<p> Study Highlights:<br />Transplanted short- and medium-range limb enhancers failed to activate Shh when placed at the endogenous ZRS location, despite maintaining open chromatin. A conserved adjacent sequence, named REX, lacks standalone enhancer activity but is necessary and sufficient to extend enhancer range, in one case increasing activity from 73 kb to 848 kb. The REX element and long-range enhancers are enriched for conserved [C/T]AATTA homeodomain motifs (LHX-like), and mutating these motifs in REX or in the endogenous ZRS abolishes long-range but not short-range activity, producing severe limb truncation in knock-in mice.</p>
<p> Conclusion:<br />Long-range enhancer–promoter communication can be genetically encoded by separable cis-elements and motif signatures: REX and conserved [C/T]AATTA motifs enable enhancers to act over megabase distances, uncoupling spatial specificity from genomic reach.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Range extender mediates long-distance enhancer activity</p>
<p> First author:<br />Bower G</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09221-6</p>
<p> Reference:<br />Bower G. et al., Nature (2025) doi:10.1038/s41586-025-09221-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/rex-long-range-enhancer-activity</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcription of the article's central claims: discovery and necessity of REX, the role of CTATA/LHX/LEF1 motifs, long-range vs short-range enhancer behavior at Shh, in vivo enhancer-replacement and mutagenesis experiments, and the modular enhancer model.<br />- transcript topics: 3D genome organization and enhancer-promoter communication; ZRS/Shh regulatory architecture and long-range activation; REX element discovery and characterization; MM1492 and HS72 enhancer replacements at the Shh locus; CTATA/LHX/LEF1 motif roles in long-range regulation; ZRS HD motif mutagenesis and rescue experiments with REX</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- REX element is adjacent to a long-range limb enhancer (near HS72) and confers long-distance activity when added to short-range enhancers<br />- ZRS is located ~848 kb from Shh; short-range enhancers fail to activate Shh at this distance<br />- MM1492 (short-range enhancer, ~73 kb native range) can be extended to long-range activation when fused with REX (MM1492+REX) and placed at 848 kb from Shh<br />- REX alone lacks enhancer activity but is necessary for long-range activation; ZRS+REX experiments show long-range activation of Shh<br />- CTATA ([C/T]AATTA) homeodomain motifs are enriched in long-range enhancers and are required for long-range but not short-range activity<br />- Disrupting ZRS [C/T]AATTA motifs abolishes long-range activity but not short-range expression; adding REX can partially rescue long-range activation</p>
<p>QC result: Pass.</p>]]>
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                    <![CDATA[Bower G et al., Nature - This paper identifies a conserved cis element, REX, and a [C/T]AATTA homeodomain motif signature that are necessary and sufficient to convert short- and medium-range limb enhancers into megabase-range regulators of Shh during mouse limb development. Key terms: enhancer, long-range regulation, REX element, homeodomain motifs, Shh.
 Study Highlights:Transplanted short- and medium-range limb enhancers failed to activate Shh when placed at the endogenous ZRS location, despite maintaining open chromatin. A conserved adjacent sequence, named REX, lacks standalone enhancer activity but is necessary and sufficient to extend enhancer range, in one case increasing activity from 73 kb to 848 kb. The REX element and long-range enhancers are enriched for conserved [C/T]AATTA homeodomain motifs (LHX-like), and mutating these motifs in REX or in the endogenous ZRS abolishes long-range but not short-range activity, producing severe limb truncation in knock-in mice.
 Conclusion:Long-range enhancer–promoter communication can be genetically encoded by separable cis-elements and motif signatures: REX and conserved [C/T]AATTA motifs enable enhancers to act over megabase distances, uncoupling spatial specificity from genomic reach.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Range extender mediates long-distance enhancer activity
 First author:Bower G
 Journal:Nature
 DOI:10.1038/s41586-025-09221-6
 Reference:Bower G. et al., Nature (2025) doi:10.1038/s41586-025-09221-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/rex-long-range-enhancer-activity
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcription of the article's central claims: discovery and necessity of REX, the role of CTATA/LHX/LEF1 motifs, long-range vs short-range enhancer behavior at Shh, in vivo enhancer-replacement and mutagenesis experiments, and the modular enhancer model.- transcript topics: 3D genome organization and enhancer-promoter communication; ZRS/Shh regulatory architecture and long-range activation; REX element discovery and characterization; MM1492 and HS72 enhancer replacements at the Shh locus; CTATA/LHX/LEF1 motif roles in long-range regulation; ZRS HD motif mutagenesis and rescue experiments with REX
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- REX element is adjacent to a long-range limb enhancer (near HS72) and confers long-distance activity when added to short-range enhancers- ZRS is located ~848 kb from Shh; short-range enhancers fail to activate Shh at this distance- MM1492 (short-range enhancer, ~73 kb native range) can be extended to long-range activation when fused with REX (MM1492+REX) and placed at 848 kb from Shh- REX alone lacks enhancer activity but is necessary for long-range activation; ZRS+RE...]]>
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                                                                            <itunes:duration>00:16:31</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
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                    <![CDATA[️ 76: Whole-genome Ancestry of an Old Kingdom Egyptian]]>
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                <pubDate>Tue, 15 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                            <![CDATA[<p>️ Episode 76: Whole-genome Ancestry of an Old Kingdom Egyptian</p><p> In this episode of PaperCast Base by Base, we explore the first 2× coverage whole-genome sequence recovered from a high-status individual of the Old Kingdom excavated at the Nuwayrat necropolis and examine the evidence for multi-regional ancestry during early Dynastic Egypt.</p><p> Study Highlights:</p><p>The research team extracted and authenticated ancient DNA from a pot-burial dating to 2855–2570 cal BCE and generated a 2.02× coverage genome allowing comprehensive ancestry inference. Population genetic analyses revealed that approximately 78% of the genome traces back to North African Neolithic populations and 22% to Neolithic Mesopotamian sources, demonstrating early contacts between Egypt and the eastern Fertile Crescent. Radiocarbon dating, osteological examination, and isotopic profiling confirmed the individual’s timeline, physiological attributes, and Nile Valley upbringing. Uniparental marker and admixture modeling provided further resolution of complex migration and continuity patterns predating known Bronze Age expansions.</p><p> Conclusion:</p><p>This study establishes the feasibility of whole-genome sequencing for early Dynastic Egyptians and uncovers direct genetic links between ancient Egypt and West Asia, reshaping our understanding of population dynamics in the Old Kingdom.</p><p> Reference:</p><p>Jacobs AM et al. Whole-genome ancestry of an Old Kingdom Egyptian. Nature. 2025. DOI:10.1038/s41586-025-09195-5</p><p> License:</p><p>This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p><p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 76: Whole-genome Ancestry of an Old Kingdom Egyptian In this episode of PaperCast Base by Base, we explore the first 2× coverage whole-genome sequence recovered from a high-status individual of the Old Kingdom excavated at the Nuwayrat necropolis and examine the evidence for multi-regional ancestry during early Dynastic Egypt. Study Highlights:The research team extracted and authenticated ancient DNA from a pot-burial dating to 2855–2570 cal BCE and generated a 2.02× coverage genome allowing comprehensive ancestry inference. Population genetic analyses revealed that approximately 78% of the genome traces back to North African Neolithic populations and 22% to Neolithic Mesopotamian sources, demonstrating early contacts between Egypt and the eastern Fertile Crescent. Radiocarbon dating, osteological examination, and isotopic profiling confirmed the individual’s timeline, physiological attributes, and Nile Valley upbringing. Uniparental marker and admixture modeling provided further resolution of complex migration and continuity patterns predating known Bronze Age expansions. Conclusion:This study establishes the feasibility of whole-genome sequencing for early Dynastic Egyptians and uncovers direct genetic links between ancient Egypt and West Asia, reshaping our understanding of population dynamics in the Old Kingdom. Reference:Jacobs AM et al. Whole-genome ancestry of an Old Kingdom Egyptian. Nature. 2025. DOI:10.1038/s41586-025-09195-5 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
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                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[️ 76: Whole-genome Ancestry of an Old Kingdom Egyptian]]>
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                                    <itunes:episode>76</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                    <![CDATA[<p>️ Episode 76: Whole-genome Ancestry of an Old Kingdom Egyptian</p><p> In this episode of PaperCast Base by Base, we explore the first 2× coverage whole-genome sequence recovered from a high-status individual of the Old Kingdom excavated at the Nuwayrat necropolis and examine the evidence for multi-regional ancestry during early Dynastic Egypt.</p><p> Study Highlights:</p><p>The research team extracted and authenticated ancient DNA from a pot-burial dating to 2855–2570 cal BCE and generated a 2.02× coverage genome allowing comprehensive ancestry inference. Population genetic analyses revealed that approximately 78% of the genome traces back to North African Neolithic populations and 22% to Neolithic Mesopotamian sources, demonstrating early contacts between Egypt and the eastern Fertile Crescent. Radiocarbon dating, osteological examination, and isotopic profiling confirmed the individual’s timeline, physiological attributes, and Nile Valley upbringing. Uniparental marker and admixture modeling provided further resolution of complex migration and continuity patterns predating known Bronze Age expansions.</p><p> Conclusion:</p><p>This study establishes the feasibility of whole-genome sequencing for early Dynastic Egyptians and uncovers direct genetic links between ancient Egypt and West Asia, reshaping our understanding of population dynamics in the Old Kingdom.</p><p> Reference:</p><p>Jacobs AM et al. Whole-genome ancestry of an Old Kingdom Egyptian. Nature. 2025. DOI:10.1038/s41586-025-09195-5</p><p> License:</p><p>This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p><p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>]]>
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                    <![CDATA[️ Episode 76: Whole-genome Ancestry of an Old Kingdom Egyptian In this episode of PaperCast Base by Base, we explore the first 2× coverage whole-genome sequence recovered from a high-status individual of the Old Kingdom excavated at the Nuwayrat necropolis and examine the evidence for multi-regional ancestry during early Dynastic Egypt. Study Highlights:The research team extracted and authenticated ancient DNA from a pot-burial dating to 2855–2570 cal BCE and generated a 2.02× coverage genome allowing comprehensive ancestry inference. Population genetic analyses revealed that approximately 78% of the genome traces back to North African Neolithic populations and 22% to Neolithic Mesopotamian sources, demonstrating early contacts between Egypt and the eastern Fertile Crescent. Radiocarbon dating, osteological examination, and isotopic profiling confirmed the individual’s timeline, physiological attributes, and Nile Valley upbringing. Uniparental marker and admixture modeling provided further resolution of complex migration and continuity patterns predating known Bronze Age expansions. Conclusion:This study establishes the feasibility of whole-genome sequencing for early Dynastic Egyptians and uncovers direct genetic links between ancient Egypt and West Asia, reshaping our understanding of population dynamics in the Old Kingdom. Reference:Jacobs AM et al. Whole-genome ancestry of an Old Kingdom Egyptian. Nature. 2025. DOI:10.1038/s41586-025-09195-5 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.]]>
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                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107535/c1a-p6xp7-pkx830gxbz1r-qygqlk.jpg"></itunes:image>
                                                                            <itunes:duration>00:13:22</itunes:duration>
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                    <![CDATA[Gustavo Barra]]>
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                <title>
                    <![CDATA[75: How Metabolism Shapes Enzyme Structures Over 400 Million Years]]>
                </title>
                <pubDate>Mon, 14 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
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                                    <link>https://basebybase.castos.com/episodes/metabolism-shapes-enzyme-structures-75</link>
                                <description>
                                            <![CDATA[<p>Lemke O et al., Nature - A deep structural and evolutionary analysis of 11,269 enzyme structures across Saccharomycotina reveals how metabolic context sculpts protein architecture. The study integrates AlphaFold2 models, proteomics and metabolic models to map hierarchical constraints on enzyme evolution. Key terms: enzyme evolution, metabolism, AlphaFold2, structural conservation, yeast.</p>
<p> Study Highlights:<br />The authors analyzed 11,269 predicted and experimental enzyme structures across 424 orthogroups in 27 yeast species to link structural divergence to metabolic properties. They show that metabolism constrains structural evolution at species, pathway and molecular scales, with substrate-binding sites being the most conserved and surface residues evolving fastest. Metal-binding, number of intracellular inhibitors, flux variability, protein abundance and biosynthetic cost each influence conservation. Cost optimization acts primarily on surface residues while catalytic and small-molecule interactions limit substitutions in binding sites.</p>
<p> Conclusion:<br />Enzyme structural evolution is governed primarily by catalytic function and metabolic context, producing a hierarchy of conservation that informs enzyme annotation and strategies for metabolic engineering.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The role of metabolism in shaping enzyme structures over 400 million years</p>
<p> First author:<br />Lemke O</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09205-6</p>
<p> Reference:<br />Lemke O., Heineike B.M., Viknander S., et al. The role of metabolism in shaping enzyme structures over 400 million years. Nature (2025). https://doi.org/10.1038/s41586-025-09205-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/metabolism-shapes-enzyme-structures-75</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims about structural evolution in enzymes under metabolic constraints, MR/CR metrics, abundance-cost effects, thiamine suicide enzymes, binding-site clusters, and AlphaFold2-based methodology as presented in the transcript.<br />- transcript topics: AlphaFold2-based structure prediction in Saccharomycotina; Mapping ratios (MR) and conservation ratios (CR) and their interpretation; Metabolic context: fermentation vs respiration and pathway effects; Enzyme abundance, flux, and cost optimization; Thiamine biosynthesis suicide enzymes and conservation; Binding-site clusters as predictive features for binding and PPIs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Reported number of enzyme structures analyzed: 11,269 (AlphaFold2-predicted and experimentally determined).<br />- Orthogroups: 424; species: 27; reactions: 361 across 225 pathways.<br />- Binding sites are highly conserved; surface residues evolve fastest; core remains conserved.<br />- Abundance and cost i...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Lemke O et al., Nature - A deep structural and evolutionary analysis of 11,269 enzyme structures across Saccharomycotina reveals how metabolic context sculpts protein architecture. The study integrates AlphaFold2 models, proteomics and metabolic models to map hierarchical constraints on enzyme evolution. Key terms: enzyme evolution, metabolism, AlphaFold2, structural conservation, yeast.
 Study Highlights:The authors analyzed 11,269 predicted and experimental enzyme structures across 424 orthogroups in 27 yeast species to link structural divergence to metabolic properties. They show that metabolism constrains structural evolution at species, pathway and molecular scales, with substrate-binding sites being the most conserved and surface residues evolving fastest. Metal-binding, number of intracellular inhibitors, flux variability, protein abundance and biosynthetic cost each influence conservation. Cost optimization acts primarily on surface residues while catalytic and small-molecule interactions limit substitutions in binding sites.
 Conclusion:Enzyme structural evolution is governed primarily by catalytic function and metabolic context, producing a hierarchy of conservation that informs enzyme annotation and strategies for metabolic engineering.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The role of metabolism in shaping enzyme structures over 400 million years
 First author:Lemke O
 Journal:Nature
 DOI:10.1038/s41586-025-09205-6
 Reference:Lemke O., Heineike B.M., Viknander S., et al. The role of metabolism in shaping enzyme structures over 400 million years. Nature (2025). https://doi.org/10.1038/s41586-025-09205-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/metabolism-shapes-enzyme-structures-75
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims about structural evolution in enzymes under metabolic constraints, MR/CR metrics, abundance-cost effects, thiamine suicide enzymes, binding-site clusters, and AlphaFold2-based methodology as presented in the transcript.- transcript topics: AlphaFold2-based structure prediction in Saccharomycotina; Mapping ratios (MR) and conservation ratios (CR) and their interpretation; Metabolic context: fermentation vs respiration and pathway effects; Enzyme abundance, flux, and cost optimization; Thiamine biosynthesis suicide enzymes and conservation; Binding-site clusters as predictive features for binding and PPIs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Reported number of enzyme structures analyzed: 11,269 (AlphaFold2-predicted and experimentally determined).- Orthogroups: 424; species: 27; reactions: 361 across 225 pathways.- Binding sites are highly conserved; surface residues evolve fastest; core remains conserved.- Abundance and cost i...]]>
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                                <itunes:title>
                    <![CDATA[75: How Metabolism Shapes Enzyme Structures Over 400 Million Years]]>
                </itunes:title>
                                    <itunes:episode>75</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Lemke O et al., Nature - A deep structural and evolutionary analysis of 11,269 enzyme structures across Saccharomycotina reveals how metabolic context sculpts protein architecture. The study integrates AlphaFold2 models, proteomics and metabolic models to map hierarchical constraints on enzyme evolution. Key terms: enzyme evolution, metabolism, AlphaFold2, structural conservation, yeast.</p>
<p> Study Highlights:<br />The authors analyzed 11,269 predicted and experimental enzyme structures across 424 orthogroups in 27 yeast species to link structural divergence to metabolic properties. They show that metabolism constrains structural evolution at species, pathway and molecular scales, with substrate-binding sites being the most conserved and surface residues evolving fastest. Metal-binding, number of intracellular inhibitors, flux variability, protein abundance and biosynthetic cost each influence conservation. Cost optimization acts primarily on surface residues while catalytic and small-molecule interactions limit substitutions in binding sites.</p>
<p> Conclusion:<br />Enzyme structural evolution is governed primarily by catalytic function and metabolic context, producing a hierarchy of conservation that informs enzyme annotation and strategies for metabolic engineering.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The role of metabolism in shaping enzyme structures over 400 million years</p>
<p> First author:<br />Lemke O</p>
<p> Journal:<br />Nature</p>
<p> DOI:<br />10.1038/s41586-025-09205-6</p>
<p> Reference:<br />Lemke O., Heineike B.M., Viknander S., et al. The role of metabolism in shaping enzyme structures over 400 million years. Nature (2025). https://doi.org/10.1038/s41586-025-09205-6</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/metabolism-shapes-enzyme-structures-75</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims about structural evolution in enzymes under metabolic constraints, MR/CR metrics, abundance-cost effects, thiamine suicide enzymes, binding-site clusters, and AlphaFold2-based methodology as presented in the transcript.<br />- transcript topics: AlphaFold2-based structure prediction in Saccharomycotina; Mapping ratios (MR) and conservation ratios (CR) and their interpretation; Metabolic context: fermentation vs respiration and pathway effects; Enzyme abundance, flux, and cost optimization; Thiamine biosynthesis suicide enzymes and conservation; Binding-site clusters as predictive features for binding and PPIs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Reported number of enzyme structures analyzed: 11,269 (AlphaFold2-predicted and experimentally determined).<br />- Orthogroups: 424; species: 27; reactions: 361 across 225 pathways.<br />- Binding sites are highly conserved; surface residues evolve fastest; core remains conserved.<br />- Abundance and cost influence evolution: high-abundance enzymes favor cheap amino acids; low-abundance enzymes show greater diversity and use of more expensive amino acids.<br />- Thiamine biosynthesis enzymes Thi5p/Thi11p/Thi12p/Thi13p are conserved despite low abundance due to suicide reactions and high chemical costs.<br />- AlphaFold2 predictions are integrated with evolutionary data; limitations acknowledged for loops/random coils; Saccharomycotina focus.</p>
<p>QC result: Pass.</p>]]>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Lemke O et al., Nature - A deep structural and evolutionary analysis of 11,269 enzyme structures across Saccharomycotina reveals how metabolic context sculpts protein architecture. The study integrates AlphaFold2 models, proteomics and metabolic models to map hierarchical constraints on enzyme evolution. Key terms: enzyme evolution, metabolism, AlphaFold2, structural conservation, yeast.
 Study Highlights:The authors analyzed 11,269 predicted and experimental enzyme structures across 424 orthogroups in 27 yeast species to link structural divergence to metabolic properties. They show that metabolism constrains structural evolution at species, pathway and molecular scales, with substrate-binding sites being the most conserved and surface residues evolving fastest. Metal-binding, number of intracellular inhibitors, flux variability, protein abundance and biosynthetic cost each influence conservation. Cost optimization acts primarily on surface residues while catalytic and small-molecule interactions limit substitutions in binding sites.
 Conclusion:Enzyme structural evolution is governed primarily by catalytic function and metabolic context, producing a hierarchy of conservation that informs enzyme annotation and strategies for metabolic engineering.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The role of metabolism in shaping enzyme structures over 400 million years
 First author:Lemke O
 Journal:Nature
 DOI:10.1038/s41586-025-09205-6
 Reference:Lemke O., Heineike B.M., Viknander S., et al. The role of metabolism in shaping enzyme structures over 400 million years. Nature (2025). https://doi.org/10.1038/s41586-025-09205-6
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/metabolism-shapes-enzyme-structures-75
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims about structural evolution in enzymes under metabolic constraints, MR/CR metrics, abundance-cost effects, thiamine suicide enzymes, binding-site clusters, and AlphaFold2-based methodology as presented in the transcript.- transcript topics: AlphaFold2-based structure prediction in Saccharomycotina; Mapping ratios (MR) and conservation ratios (CR) and their interpretation; Metabolic context: fermentation vs respiration and pathway effects; Enzyme abundance, flux, and cost optimization; Thiamine biosynthesis suicide enzymes and conservation; Binding-site clusters as predictive features for binding and PPIs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Reported number of enzyme structures analyzed: 11,269 (AlphaFold2-predicted and experimentally determined).- Orthogroups: 424; species: 27; reactions: 361 across 225 pathways.- Binding sites are highly conserved; surface residues evolve fastest; core remains conserved.- Abundance and cost i...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107536/c1a-p6xp7-z312xqwzigpr-kfbzp4.png"></itunes:image>
                                                                            <itunes:duration>00:14:56</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[74: ePytope-TCRBenchmark Suite (corrupted PDF summary)]]>
                </title>
                <pubDate>Sun, 13 Jul 2025 09:35:38 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    5a16e602-e8f4-4146-a9a9-f1f6e0500f1a</guid>
                                    <link>https://basebybase.castos.com/episodes/epytope-tcrbenchmark-suite-corrupted-pdf</link>
                                <description>
                                            <![CDATA[<p>Drost F et al., Cell Genomics - The supplied PDF is severely corrupted and largely unreadable. Fragments in the text mention an "ePytope-TCRBenchmark Suite" and repeated metadata-like tokens, but full article content (methods, results, authors) cannot be reliably extracted. This episode summarizes what could be recovered and explains why a clean file is required for a proper review. Key terms: ePytope, TCR, benchmark, epitope prediction, corrupted pdf.</p>
<p> Study Highlights:<br />The provided PDF is heavily corrupted and most lines are unreadable. Readable fragments include the phrase "ePytope-TCRBenchmark Suite" and repeated labels such as "Ioww!Moz{ytm�" and "o|t�{|o". No coherent experimental methods, results or author information could be confirmed from the file. A full, legible copy of the article is required to generate a complete episode.</p>
<p> Conclusion:<br />Because the file is corrupted, we cannot produce a faithful episode summary of scientific content; please re-upload a clean PDF or a citation so we can prepare a full PaperCast Base by Base episode.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />ePytope-TCRBenchmark Suite</p>
<p> First author:<br />Drost F</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100946</p>
<p> Reference:<br />Drost F., Chernysheva A., Albahah M., Kocher K., Schober K., Schubert B.. Benchmarking of T cell receptor-epitope predictors with ePytope-TCR. Cell Genomics, 5, 100946. (2025). https://doi.org/10.1016/j.xgen.2025.100946</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/epytope-tcrbenchmark-suite-corrupted-pdf</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing the Epitope TCR benchmarking framework, data formats, viral and mutation benchmarking datasets, performance metrics (AUC, top-k), and benchmarking implications.<br />- transcript topics: Introduction to TCR-epitope prediction and benchmarking; Epitope TCR framework and universal data interface; Data formats and model categories (categorical vs general); Viral benchmarking dataset (638 TCRs, 14 epitopes, 5 MHC backgrounds); Deep mutational scanning mutation dataset; Performance metrics and results (AUC, top-k)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- DOI alignment with canonical article<br />- Article title formatting and presence<br />- Journal title alignment<br />- License variant CC BY 4.0 alignment<br />- Epitope TCR benchmarking framework ingestion of multiple formats and models<br />- Viral dataset composition: 638 distinct TCRs, 14 epitopes, 5 MHC backgrounds</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Drost F et al., Cell Genomics - The supplied PDF is severely corrupted and largely unreadable. Fragments in the text mention an "ePytope-TCRBenchmark Suite" and repeated metadata-like tokens, but full article content (methods, results, authors) cannot be reliably extracted. This episode summarizes what could be recovered and explains why a clean file is required for a proper review. Key terms: ePytope, TCR, benchmark, epitope prediction, corrupted pdf.
 Study Highlights:The provided PDF is heavily corrupted and most lines are unreadable. Readable fragments include the phrase "ePytope-TCRBenchmark Suite" and repeated labels such as "Ioww!Moz{ytm�" and "o|t�{|o". No coherent experimental methods, results or author information could be confirmed from the file. A full, legible copy of the article is required to generate a complete episode.
 Conclusion:Because the file is corrupted, we cannot produce a faithful episode summary of scientific content; please re-upload a clean PDF or a citation so we can prepare a full PaperCast Base by Base episode.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:ePytope-TCRBenchmark Suite
 First author:Drost F
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100946
 Reference:Drost F., Chernysheva A., Albahah M., Kocher K., Schober K., Schubert B.. Benchmarking of T cell receptor-epitope predictors with ePytope-TCR. Cell Genomics, 5, 100946. (2025). https://doi.org/10.1016/j.xgen.2025.100946
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/epytope-tcrbenchmark-suite-corrupted-pdf
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing the Epitope TCR benchmarking framework, data formats, viral and mutation benchmarking datasets, performance metrics (AUC, top-k), and benchmarking implications.- transcript topics: Introduction to TCR-epitope prediction and benchmarking; Epitope TCR framework and universal data interface; Data formats and model categories (categorical vs general); Viral benchmarking dataset (638 TCRs, 14 epitopes, 5 MHC backgrounds); Deep mutational scanning mutation dataset; Performance metrics and results (AUC, top-k)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- DOI alignment with canonical article- Article title formatting and presence- Journal title alignment- License variant CC BY 4.0 alignment- Epitope TCR benchmarking framework ingestion of multiple formats and models- Viral dataset composition: 638 distinct TCRs, 14 epitopes, 5 MHC backgrounds
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[74: ePytope-TCRBenchmark Suite (corrupted PDF summary)]]>
                </itunes:title>
                                    <itunes:episode>74</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Drost F et al., Cell Genomics - The supplied PDF is severely corrupted and largely unreadable. Fragments in the text mention an "ePytope-TCRBenchmark Suite" and repeated metadata-like tokens, but full article content (methods, results, authors) cannot be reliably extracted. This episode summarizes what could be recovered and explains why a clean file is required for a proper review. Key terms: ePytope, TCR, benchmark, epitope prediction, corrupted pdf.</p>
<p> Study Highlights:<br />The provided PDF is heavily corrupted and most lines are unreadable. Readable fragments include the phrase "ePytope-TCRBenchmark Suite" and repeated labels such as "Ioww!Moz{ytm�" and "o|t�{|o". No coherent experimental methods, results or author information could be confirmed from the file. A full, legible copy of the article is required to generate a complete episode.</p>
<p> Conclusion:<br />Because the file is corrupted, we cannot produce a faithful episode summary of scientific content; please re-upload a clean PDF or a citation so we can prepare a full PaperCast Base by Base episode.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />ePytope-TCRBenchmark Suite</p>
<p> First author:<br />Drost F</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100946</p>
<p> Reference:<br />Drost F., Chernysheva A., Albahah M., Kocher K., Schober K., Schubert B.. Benchmarking of T cell receptor-epitope predictors with ePytope-TCR. Cell Genomics, 5, 100946. (2025). https://doi.org/10.1016/j.xgen.2025.100946</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/epytope-tcrbenchmark-suite-corrupted-pdf</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing the Epitope TCR benchmarking framework, data formats, viral and mutation benchmarking datasets, performance metrics (AUC, top-k), and benchmarking implications.<br />- transcript topics: Introduction to TCR-epitope prediction and benchmarking; Epitope TCR framework and universal data interface; Data formats and model categories (categorical vs general); Viral benchmarking dataset (638 TCRs, 14 epitopes, 5 MHC backgrounds); Deep mutational scanning mutation dataset; Performance metrics and results (AUC, top-k)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- DOI alignment with canonical article<br />- Article title formatting and presence<br />- Journal title alignment<br />- License variant CC BY 4.0 alignment<br />- Epitope TCR benchmarking framework ingestion of multiple formats and models<br />- Viral dataset composition: 638 distinct TCRs, 14 epitopes, 5 MHC backgrounds</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107537/c1e-w38o0b37o54sx3xvg-258nqpxkaz0p-do5lj1.mp3?awCollectionId=66206&amp;awEpisodeId=5a16e602-e8f4-4146-a9a9-f1f6e0500f1a&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fepytope-tcrbenchmark-suite-corrupted-pdf&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=3f15352ac140756bee0adcf88e5f333ed82510a22e41a4c772571c8a43da343e" length="31125933"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Drost F et al., Cell Genomics - The supplied PDF is severely corrupted and largely unreadable. Fragments in the text mention an "ePytope-TCRBenchmark Suite" and repeated metadata-like tokens, but full article content (methods, results, authors) cannot be reliably extracted. This episode summarizes what could be recovered and explains why a clean file is required for a proper review. Key terms: ePytope, TCR, benchmark, epitope prediction, corrupted pdf.
 Study Highlights:The provided PDF is heavily corrupted and most lines are unreadable. Readable fragments include the phrase "ePytope-TCRBenchmark Suite" and repeated labels such as "Ioww!Moz{ytm�" and "o|t�{|o". No coherent experimental methods, results or author information could be confirmed from the file. A full, legible copy of the article is required to generate a complete episode.
 Conclusion:Because the file is corrupted, we cannot produce a faithful episode summary of scientific content; please re-upload a clean PDF or a citation so we can prepare a full PaperCast Base by Base episode.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:ePytope-TCRBenchmark Suite
 First author:Drost F
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100946
 Reference:Drost F., Chernysheva A., Albahah M., Kocher K., Schober K., Schubert B.. Benchmarking of T cell receptor-epitope predictors with ePytope-TCR. Cell Genomics, 5, 100946. (2025). https://doi.org/10.1016/j.xgen.2025.100946
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/epytope-tcrbenchmark-suite-corrupted-pdf
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing the Epitope TCR benchmarking framework, data formats, viral and mutation benchmarking datasets, performance metrics (AUC, top-k), and benchmarking implications.- transcript topics: Introduction to TCR-epitope prediction and benchmarking; Epitope TCR framework and universal data interface; Data formats and model categories (categorical vs general); Viral benchmarking dataset (638 TCRs, 14 epitopes, 5 MHC backgrounds); Deep mutational scanning mutation dataset; Performance metrics and results (AUC, top-k)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- DOI alignment with canonical article- Article title formatting and presence- Journal title alignment- License variant CC BY 4.0 alignment- Epitope TCR benchmarking framework ingestion of multiple formats and models- Viral dataset composition: 638 distinct TCRs, 14 epitopes, 5 MHC backgrounds
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107537/c1a-p6xp7-8d8rvpn9hq80-96pfqd.png"></itunes:image>
                                                                            <itunes:duration>00:20:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[73: Family history and genetics in dementia]]>
                </title>
                <pubDate>Sat, 12 Jul 2025 12:27:18 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    f97e9a16-5623-4cd8-84ba-3a8ab5fd558b</guid>
                                    <link>https://basebybase.castos.com/episodes/family-history-genetic-dementia-s2e73</link>
                                <description>
                                            <![CDATA[<p>König T et al., Genetics in Medicine - A retrospective study of 701 memory clinic patients tested whether stratifying by age at onset and family history enriches for diagnostically relevant genetic findings. Using an adapted Goldman-score classification with exome sequencing and targeted genotyping in high-risk cases, the authors increased diagnostic yield and evaluated implications for APOE and C9ORF72 testing. Key terms: Alzheimer's disease, Exome sequencing, APOE, Genetic risk, Diagnostic yield.</p>
<p> Study Highlights:<br />In 701 dementia patients, 34–48% reported a positive family history depending on diagnosis. Applying an adapted age-at-onset (≤65 years) and Goldman-score stratification identified 51 high-risk patients, 38 of whom had complete genetic data. Among those 38, 39% carried diagnostically relevant variants including APP, PSEN1, MAPT, GRN, C9ORF72 repeat expansions and APOE4/4. Using a stricter ≤60-year cutoff increased yield but missed several APOE4/4 and one C9ORF72 case, showing trade-offs between sensitivity and specificity.</p>
<p> Conclusion:<br />A standardized classification by age at onset and family history improves selection for genetic testing in memory clinics, raising diagnostic yield to 39% among high-risk patients and supporting routine APOE and C9ORF72 testing while cautioning that overly strict onset cutoffs can miss clinically important cases.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Assessing family history and approaches for identifying dementia patients with diagnostically significant genetic findings</p>
<p> First author:<br />König T</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101517</p>
<p> Reference:<br />König T, Silvaieh S, Parvizi T, Wurm R, Goeschl S, Uhlik E, Farr C, Berger-Sieczkowski E, Untersteiner H, Zimprich A, Stögmann E. Assessing family history and approaches for identifying dementia patients with diagnostically significant genetic findings. Genetics in Medicine. 2025. https://doi.org/10.1016/j.gim.2025.101517</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/family-history-genetic-dementia-s2e73</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript's presentation of the article's methods and results, including: AAO cutoff change (60→65) and its impact on yield; Goldman score integration; cohort/genetic testing approach (ES + APOE genotyping + C9ORF72 testing); key pathogenic variants; C9ORF72 repeat testing; APOE4/4 onset and t<br />- transcript topics: Overview of dementia genetics and testing landscape; Goldman score and age-at-onset integration; Cohort design and sequencing approaches (ES, APOE, C9ORF72); C9ORF72 repeat expansions testing and limitations of ES; APOE4/4 genotype and age-at-onset interactions; Anti-amyloid therapies, ARIA risk, and regulatory considerations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Cohort size: 701 dementia patients (490 AD spectrum,...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[König T et al., Genetics in Medicine - A retrospective study of 701 memory clinic patients tested whether stratifying by age at onset and family history enriches for diagnostically relevant genetic findings. Using an adapted Goldman-score classification with exome sequencing and targeted genotyping in high-risk cases, the authors increased diagnostic yield and evaluated implications for APOE and C9ORF72 testing. Key terms: Alzheimer's disease, Exome sequencing, APOE, Genetic risk, Diagnostic yield.
 Study Highlights:In 701 dementia patients, 34–48% reported a positive family history depending on diagnosis. Applying an adapted age-at-onset (≤65 years) and Goldman-score stratification identified 51 high-risk patients, 38 of whom had complete genetic data. Among those 38, 39% carried diagnostically relevant variants including APP, PSEN1, MAPT, GRN, C9ORF72 repeat expansions and APOE4/4. Using a stricter ≤60-year cutoff increased yield but missed several APOE4/4 and one C9ORF72 case, showing trade-offs between sensitivity and specificity.
 Conclusion:A standardized classification by age at onset and family history improves selection for genetic testing in memory clinics, raising diagnostic yield to 39% among high-risk patients and supporting routine APOE and C9ORF72 testing while cautioning that overly strict onset cutoffs can miss clinically important cases.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Assessing family history and approaches for identifying dementia patients with diagnostically significant genetic findings
 First author:König T
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101517
 Reference:König T, Silvaieh S, Parvizi T, Wurm R, Goeschl S, Uhlik E, Farr C, Berger-Sieczkowski E, Untersteiner H, Zimprich A, Stögmann E. Assessing family history and approaches for identifying dementia patients with diagnostically significant genetic findings. Genetics in Medicine. 2025. https://doi.org/10.1016/j.gim.2025.101517
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/family-history-genetic-dementia-s2e73
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript's presentation of the article's methods and results, including: AAO cutoff change (60→65) and its impact on yield; Goldman score integration; cohort/genetic testing approach (ES + APOE genotyping + C9ORF72 testing); key pathogenic variants; C9ORF72 repeat testing; APOE4/4 onset and t- transcript topics: Overview of dementia genetics and testing landscape; Goldman score and age-at-onset integration; Cohort design and sequencing approaches (ES, APOE, C9ORF72); C9ORF72 repeat expansions testing and limitations of ES; APOE4/4 genotype and age-at-onset interactions; Anti-amyloid therapies, ARIA risk, and regulatory considerations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Cohort size: 701 dementia patients (490 AD spectrum,...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[73: Family history and genetics in dementia]]>
                </itunes:title>
                                    <itunes:episode>73</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>König T et al., Genetics in Medicine - A retrospective study of 701 memory clinic patients tested whether stratifying by age at onset and family history enriches for diagnostically relevant genetic findings. Using an adapted Goldman-score classification with exome sequencing and targeted genotyping in high-risk cases, the authors increased diagnostic yield and evaluated implications for APOE and C9ORF72 testing. Key terms: Alzheimer's disease, Exome sequencing, APOE, Genetic risk, Diagnostic yield.</p>
<p> Study Highlights:<br />In 701 dementia patients, 34–48% reported a positive family history depending on diagnosis. Applying an adapted age-at-onset (≤65 years) and Goldman-score stratification identified 51 high-risk patients, 38 of whom had complete genetic data. Among those 38, 39% carried diagnostically relevant variants including APP, PSEN1, MAPT, GRN, C9ORF72 repeat expansions and APOE4/4. Using a stricter ≤60-year cutoff increased yield but missed several APOE4/4 and one C9ORF72 case, showing trade-offs between sensitivity and specificity.</p>
<p> Conclusion:<br />A standardized classification by age at onset and family history improves selection for genetic testing in memory clinics, raising diagnostic yield to 39% among high-risk patients and supporting routine APOE and C9ORF72 testing while cautioning that overly strict onset cutoffs can miss clinically important cases.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Assessing family history and approaches for identifying dementia patients with diagnostically significant genetic findings</p>
<p> First author:<br />König T</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101517</p>
<p> Reference:<br />König T, Silvaieh S, Parvizi T, Wurm R, Goeschl S, Uhlik E, Farr C, Berger-Sieczkowski E, Untersteiner H, Zimprich A, Stögmann E. Assessing family history and approaches for identifying dementia patients with diagnostically significant genetic findings. Genetics in Medicine. 2025. https://doi.org/10.1016/j.gim.2025.101517</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/family-history-genetic-dementia-s2e73</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript's presentation of the article's methods and results, including: AAO cutoff change (60→65) and its impact on yield; Goldman score integration; cohort/genetic testing approach (ES + APOE genotyping + C9ORF72 testing); key pathogenic variants; C9ORF72 repeat testing; APOE4/4 onset and t<br />- transcript topics: Overview of dementia genetics and testing landscape; Goldman score and age-at-onset integration; Cohort design and sequencing approaches (ES, APOE, C9ORF72); C9ORF72 repeat expansions testing and limitations of ES; APOE4/4 genotype and age-at-onset interactions; Anti-amyloid therapies, ARIA risk, and regulatory considerations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Cohort size: 701 dementia patients (490 AD spectrum, 29 FTD, 182 other/mixed).<br />- 51 high-risk patients identified; 38 had complete data and underwent genetic analysis.<br />- Among analyzed high-risk patients, 15/38 (39%) carried diagnostically relevant variants (APP, PSEN1, MAPT, GRN, C9ORF72, APOE4/4).<br />- C9ORF72 repeat expansions detected via specialized testing (two-step PCR and Southern blotting).<br />- 65-year AAO cutoff (instead of 60) increased capture of APOE4/4 cases; missed 4 APOE4/4 and 1 C9ORF72 with 60-year cutoff.<br />- APOE4/4 carriers had a later median onset (~68 years), illustrating semi-dominant effects and limits of a strict 60-year cutoff.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[König T et al., Genetics in Medicine - A retrospective study of 701 memory clinic patients tested whether stratifying by age at onset and family history enriches for diagnostically relevant genetic findings. Using an adapted Goldman-score classification with exome sequencing and targeted genotyping in high-risk cases, the authors increased diagnostic yield and evaluated implications for APOE and C9ORF72 testing. Key terms: Alzheimer's disease, Exome sequencing, APOE, Genetic risk, Diagnostic yield.
 Study Highlights:In 701 dementia patients, 34–48% reported a positive family history depending on diagnosis. Applying an adapted age-at-onset (≤65 years) and Goldman-score stratification identified 51 high-risk patients, 38 of whom had complete genetic data. Among those 38, 39% carried diagnostically relevant variants including APP, PSEN1, MAPT, GRN, C9ORF72 repeat expansions and APOE4/4. Using a stricter ≤60-year cutoff increased yield but missed several APOE4/4 and one C9ORF72 case, showing trade-offs between sensitivity and specificity.
 Conclusion:A standardized classification by age at onset and family history improves selection for genetic testing in memory clinics, raising diagnostic yield to 39% among high-risk patients and supporting routine APOE and C9ORF72 testing while cautioning that overly strict onset cutoffs can miss clinically important cases.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Assessing family history and approaches for identifying dementia patients with diagnostically significant genetic findings
 First author:König T
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101517
 Reference:König T, Silvaieh S, Parvizi T, Wurm R, Goeschl S, Uhlik E, Farr C, Berger-Sieczkowski E, Untersteiner H, Zimprich A, Stögmann E. Assessing family history and approaches for identifying dementia patients with diagnostically significant genetic findings. Genetics in Medicine. 2025. https://doi.org/10.1016/j.gim.2025.101517
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/family-history-genetic-dementia-s2e73
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript's presentation of the article's methods and results, including: AAO cutoff change (60→65) and its impact on yield; Goldman score integration; cohort/genetic testing approach (ES + APOE genotyping + C9ORF72 testing); key pathogenic variants; C9ORF72 repeat testing; APOE4/4 onset and t- transcript topics: Overview of dementia genetics and testing landscape; Goldman score and age-at-onset integration; Cohort design and sequencing approaches (ES, APOE, C9ORF72); C9ORF72 repeat expansions testing and limitations of ES; APOE4/4 genotype and age-at-onset interactions; Anti-amyloid therapies, ARIA risk, and regulatory considerations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Cohort size: 701 dementia patients (490 AD spectrum,...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107538/c1a-p6xp7-z312n660hxx6-r4uxxj.png"></itunes:image>
                                                                            <itunes:duration>00:15:55</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[72: POC5 ciliopathy: retinal, endocrine and neuromuscular syndrome]]>
                </title>
                <pubDate>Fri, 11 Jul 2025 09:33:13 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    e17e0e9a-34e7-40e7-bf90-1a659333c8b9</guid>
                                    <link>https://basebybase.castos.com/episodes/poc5-ciliopathy-retinal-endocrine-neuromuscular</link>
                                <description>
                                            <![CDATA[<p>Vulto-van Silfhout AT et al., Genetics in Medicine - A cohort study of twelve families shows that bi-allelic loss-of-function variants in POC5 cause a multisystem syndrome characterized by rod-cone dystrophy, early-onset insulin-resistant diabetes with partial lipodystrophy, renal disease and muscle cramps. Cellular studies in patient fibroblasts reveal reduced POC5 expression due to nonsense-mediated decay and mislocalization at centrioles, supporting a ciliopathy mechanism. Key terms: POC5, ciliopathy, retinitis pigmentosa, insulin resistance, lipodystrophy.</p>
<p> Study Highlights:<br />Twelve families with bi-allelic POC5 loss-of-function variants were characterized clinically and molecularly, revealing a consistent multisystem phenotype including rod-cone dystrophy, insulin-resistant diabetes with partial lipodystrophy, kidney disease and muscle cramps. RNA studies showed reduced POC5 transcript levels consistent with nonsense-mediated decay for predicted truncating variants. Immunofluorescence in proband-derived fibroblasts showed loss or reduction of POC5 centriolar localization and altered centrin distribution with largely preserved ciliogenesis and SHH signaling. These data support that POC5 LoF causes a pleiotropic ciliopathy that includes metabolic and adipose tissue dysfunction.</p>
<p> Conclusion:<br />Bi-allelic loss-of-function variants in POC5 cause an autosomal recessive multisystem ciliopathy marked by retinal dystrophy, insulin-resistant diabetes with partial lipodystrophy, renal disease and neuromuscular symptoms, and are associated with reduced POC5 expression and mislocalization at centrioles.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic loss-of-function variants in POC5 cause a syndromic retinal, endocrine and neuromuscular ciliopathy</p>
<p> First author:<br />Vulto-van Silfhout AT</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101513</p>
<p> Reference:<br />Vulto-van Silfhout AT, Jazet IM, Yzer S, et al. Bi-allelic loss-of-function variants in POC5 cause a syndromic retinal, endocrine and neuromuscular ciliopathy. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101513</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/poc5-ciliopathy-retinal-endocrine-neuromuscular</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering POC5/ciliopathy background, identification of variants and NMD analysis, centriolar localization and ciliogenesis SHH results, and comprehensive clinical phenotype (retinal dystrophy, diabetes with insulin resistance, lipodystrophy, renal disease, muscle cramps) with translational i<br />- transcript topics: POC5 and ciliopathy overview; Bi-allelic LoF variants in POC5; NMD and CHX RNA analysis; POC5 centriolar localization and centrin; Ciliogenesis and SHH signaling in fibroblasts; Clinical phenotype: retinal dystrophy and metabolic features</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- a...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Vulto-van Silfhout AT et al., Genetics in Medicine - A cohort study of twelve families shows that bi-allelic loss-of-function variants in POC5 cause a multisystem syndrome characterized by rod-cone dystrophy, early-onset insulin-resistant diabetes with partial lipodystrophy, renal disease and muscle cramps. Cellular studies in patient fibroblasts reveal reduced POC5 expression due to nonsense-mediated decay and mislocalization at centrioles, supporting a ciliopathy mechanism. Key terms: POC5, ciliopathy, retinitis pigmentosa, insulin resistance, lipodystrophy.
 Study Highlights:Twelve families with bi-allelic POC5 loss-of-function variants were characterized clinically and molecularly, revealing a consistent multisystem phenotype including rod-cone dystrophy, insulin-resistant diabetes with partial lipodystrophy, kidney disease and muscle cramps. RNA studies showed reduced POC5 transcript levels consistent with nonsense-mediated decay for predicted truncating variants. Immunofluorescence in proband-derived fibroblasts showed loss or reduction of POC5 centriolar localization and altered centrin distribution with largely preserved ciliogenesis and SHH signaling. These data support that POC5 LoF causes a pleiotropic ciliopathy that includes metabolic and adipose tissue dysfunction.
 Conclusion:Bi-allelic loss-of-function variants in POC5 cause an autosomal recessive multisystem ciliopathy marked by retinal dystrophy, insulin-resistant diabetes with partial lipodystrophy, renal disease and neuromuscular symptoms, and are associated with reduced POC5 expression and mislocalization at centrioles.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic loss-of-function variants in POC5 cause a syndromic retinal, endocrine and neuromuscular ciliopathy
 First author:Vulto-van Silfhout AT
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101513
 Reference:Vulto-van Silfhout AT, Jazet IM, Yzer S, et al. Bi-allelic loss-of-function variants in POC5 cause a syndromic retinal, endocrine and neuromuscular ciliopathy. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101513
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/poc5-ciliopathy-retinal-endocrine-neuromuscular
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering POC5/ciliopathy background, identification of variants and NMD analysis, centriolar localization and ciliogenesis SHH results, and comprehensive clinical phenotype (retinal dystrophy, diabetes with insulin resistance, lipodystrophy, renal disease, muscle cramps) with translational i- transcript topics: POC5 and ciliopathy overview; Bi-allelic LoF variants in POC5; NMD and CHX RNA analysis; POC5 centriolar localization and centrin; Ciliogenesis and SHH signaling in fibroblasts; Clinical phenotype: retinal dystrophy and metabolic features
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- a...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[72: POC5 ciliopathy: retinal, endocrine and neuromuscular syndrome]]>
                </itunes:title>
                                    <itunes:episode>72</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Vulto-van Silfhout AT et al., Genetics in Medicine - A cohort study of twelve families shows that bi-allelic loss-of-function variants in POC5 cause a multisystem syndrome characterized by rod-cone dystrophy, early-onset insulin-resistant diabetes with partial lipodystrophy, renal disease and muscle cramps. Cellular studies in patient fibroblasts reveal reduced POC5 expression due to nonsense-mediated decay and mislocalization at centrioles, supporting a ciliopathy mechanism. Key terms: POC5, ciliopathy, retinitis pigmentosa, insulin resistance, lipodystrophy.</p>
<p> Study Highlights:<br />Twelve families with bi-allelic POC5 loss-of-function variants were characterized clinically and molecularly, revealing a consistent multisystem phenotype including rod-cone dystrophy, insulin-resistant diabetes with partial lipodystrophy, kidney disease and muscle cramps. RNA studies showed reduced POC5 transcript levels consistent with nonsense-mediated decay for predicted truncating variants. Immunofluorescence in proband-derived fibroblasts showed loss or reduction of POC5 centriolar localization and altered centrin distribution with largely preserved ciliogenesis and SHH signaling. These data support that POC5 LoF causes a pleiotropic ciliopathy that includes metabolic and adipose tissue dysfunction.</p>
<p> Conclusion:<br />Bi-allelic loss-of-function variants in POC5 cause an autosomal recessive multisystem ciliopathy marked by retinal dystrophy, insulin-resistant diabetes with partial lipodystrophy, renal disease and neuromuscular symptoms, and are associated with reduced POC5 expression and mislocalization at centrioles.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic loss-of-function variants in POC5 cause a syndromic retinal, endocrine and neuromuscular ciliopathy</p>
<p> First author:<br />Vulto-van Silfhout AT</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101513</p>
<p> Reference:<br />Vulto-van Silfhout AT, Jazet IM, Yzer S, et al. Bi-allelic loss-of-function variants in POC5 cause a syndromic retinal, endocrine and neuromuscular ciliopathy. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101513</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/poc5-ciliopathy-retinal-endocrine-neuromuscular</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript sections covering POC5/ciliopathy background, identification of variants and NMD analysis, centriolar localization and ciliogenesis SHH results, and comprehensive clinical phenotype (retinal dystrophy, diabetes with insulin resistance, lipodystrophy, renal disease, muscle cramps) with translational i<br />- transcript topics: POC5 and ciliopathy overview; Bi-allelic LoF variants in POC5; NMD and CHX RNA analysis; POC5 centriolar localization and centrin; Ciliogenesis and SHH signaling in fibroblasts; Clinical phenotype: retinal dystrophy and metabolic features</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- POC5 bi-allelic loss-of-function variants identified across 12 families.<br />- Rod-cone dystrophy observed in 11/12 probands.<br />- Early-onset diabetes mellitus with high insulin resistance observed in 10/12 participants.<br />- Partial lipodystrophy observed in six participants; ectopic fat accumulation in liver/abdomen.<br />- Renal insufficiency reported in 4/12 participants.<br />- POC5 transcripts reduced with evidence of nonsense-mediated decay; CHX treatment increases detectable transcript.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Vulto-van Silfhout AT et al., Genetics in Medicine - A cohort study of twelve families shows that bi-allelic loss-of-function variants in POC5 cause a multisystem syndrome characterized by rod-cone dystrophy, early-onset insulin-resistant diabetes with partial lipodystrophy, renal disease and muscle cramps. Cellular studies in patient fibroblasts reveal reduced POC5 expression due to nonsense-mediated decay and mislocalization at centrioles, supporting a ciliopathy mechanism. Key terms: POC5, ciliopathy, retinitis pigmentosa, insulin resistance, lipodystrophy.
 Study Highlights:Twelve families with bi-allelic POC5 loss-of-function variants were characterized clinically and molecularly, revealing a consistent multisystem phenotype including rod-cone dystrophy, insulin-resistant diabetes with partial lipodystrophy, kidney disease and muscle cramps. RNA studies showed reduced POC5 transcript levels consistent with nonsense-mediated decay for predicted truncating variants. Immunofluorescence in proband-derived fibroblasts showed loss or reduction of POC5 centriolar localization and altered centrin distribution with largely preserved ciliogenesis and SHH signaling. These data support that POC5 LoF causes a pleiotropic ciliopathy that includes metabolic and adipose tissue dysfunction.
 Conclusion:Bi-allelic loss-of-function variants in POC5 cause an autosomal recessive multisystem ciliopathy marked by retinal dystrophy, insulin-resistant diabetes with partial lipodystrophy, renal disease and neuromuscular symptoms, and are associated with reduced POC5 expression and mislocalization at centrioles.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic loss-of-function variants in POC5 cause a syndromic retinal, endocrine and neuromuscular ciliopathy
 First author:Vulto-van Silfhout AT
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101513
 Reference:Vulto-van Silfhout AT, Jazet IM, Yzer S, et al. Bi-allelic loss-of-function variants in POC5 cause a syndromic retinal, endocrine and neuromuscular ciliopathy. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101513
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/poc5-ciliopathy-retinal-endocrine-neuromuscular
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript sections covering POC5/ciliopathy background, identification of variants and NMD analysis, centriolar localization and ciliogenesis SHH results, and comprehensive clinical phenotype (retinal dystrophy, diabetes with insulin resistance, lipodystrophy, renal disease, muscle cramps) with translational i- transcript topics: POC5 and ciliopathy overview; Bi-allelic LoF variants in POC5; NMD and CHX RNA analysis; POC5 centriolar localization and centrin; Ciliogenesis and SHH signaling in fibroblasts; Clinical phenotype: retinal dystrophy and metabolic features
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- a...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107540/c1a-p6xp7-258nqpqzcx5v-25exsi.png"></itunes:image>
                                                                            <itunes:duration>00:19:44</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[71: ELFN1 Deficiency: Mechanisms and Clinical Spectrum]]>
                </title>
                <pubDate>Thu, 10 Jul 2025 11:35:59 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    c1ca76cb-c00d-41bc-a82d-09c9e1df061c</guid>
                                    <link>https://basebybase.castos.com/episodes/elfn1-deficiency-mechanisms-phenotype</link>
                                <description>
                                            <![CDATA[<p>Dore R et al., Genetics in Medicine - This episode reviews a multi-center study that defines ELFN1 deficiency as a recessive neurodevelopmental disorder. The authors report new patients with biallelic ELFN1 variants, show that pathogenic variants impair ELFN1 surface trafficking and mGlu receptor binding, and present mouse and zebrafish models that reproduce hyperactivity and epileptiform activity. Key terms: ELFN1, synaptic adhesion, epilepsy, neurodevelopmental disorder, loss of function.</p>
<p> Study Highlights:<br />The study describes eight new patients from five unrelated families with homozygous ELFN1 variants and integrates clinical data from previously reported cases to define a consistent spectrum of developmental delay, epilepsy and movement disorders. Functional assays in HEK293 cells showed that multiple ELFN1 variants severely reduce plasma membrane trafficking and abolish interaction with group III metabotropic glutamate receptors. Structural modelling of an in-frame Val159 deletion predicts local disruption of the LRR domain consistent with trafficking and binding defects. Elfn1 knockout mice and zebrafish morphants display hyperactivity and epileptiform brain activity, supporting loss of function as the disease mechanism.</p>
<p> Conclusion:<br />Biallelic ELFN1 variants cause a loss-of-function recessive neurodevelopmental disorder—proposed as ELFN1 Deficiency Disorder—characterized by developmental delay, epilepsy and movement abnormalities, driven by impaired ELFN1 trafficking and disrupted mGlu receptor interactions.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />ELFN1  Deficiency: the mechanistic basis and phenotypic spectrum of a neurodevelopmental disorder with epilepsy</p>
<p> First author:<br />Dore R</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101506</p>
<p> Reference:<br />Dore R, Chang CT, Declève A, Brunori G, Ludlam WG, Huang A, Movahedinia M, Damseh NS, Anwar I, Vahidi Mehrjardi MY, Ny A, Khorrami M, Kheirollahi M, Frederiksen H, Eghbal F, Mirjalili MR, Dehghani M, Karimiani EG, Oreshkov S, Alves C, Striano P, Suri M, Martinez-Agosto J, Ansar M, Zahid M, Akram S, Ansar M, Nelson SF, Undiagnosed Diseases Network, Antonarakis SE, Houlden H, Copmans D, Martemyanov KA, Maroofian R. ELFN1 Deficiency: the mechanistic basis and phenotypic spectrum of a neurodevelopmental disorder with epilepsy. Genetics in Medicine. 2025. doi: https://doi.org/10.1016/j.gim.2025.101506</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/elfn1-deficiency-mechanisms-phenotype</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing ELFN1 function, variant impact on trafficking and mGlu binding, Val159del structural effects, cell-surface trafficking assays, mouse and zebrafish models, human clinical phenotype, and potential therapeutic directions.<br />- transcript topics: ELFN1 function as trans-synaptic synaptic adhesion and mGlu receptor anchoring; Variants causing ELFN1 loss of function and trafficking defects; Val159del structural impact and loss of mGlu binding; Cell surface trafficking assays (biotinylation) and ectodomain pull-downs; Mouse Elfn1 knockout and haploinsufficiency hyperactivity; Zebrafish elfn1a/elfn1b mo...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Dore R et al., Genetics in Medicine - This episode reviews a multi-center study that defines ELFN1 deficiency as a recessive neurodevelopmental disorder. The authors report new patients with biallelic ELFN1 variants, show that pathogenic variants impair ELFN1 surface trafficking and mGlu receptor binding, and present mouse and zebrafish models that reproduce hyperactivity and epileptiform activity. Key terms: ELFN1, synaptic adhesion, epilepsy, neurodevelopmental disorder, loss of function.
 Study Highlights:The study describes eight new patients from five unrelated families with homozygous ELFN1 variants and integrates clinical data from previously reported cases to define a consistent spectrum of developmental delay, epilepsy and movement disorders. Functional assays in HEK293 cells showed that multiple ELFN1 variants severely reduce plasma membrane trafficking and abolish interaction with group III metabotropic glutamate receptors. Structural modelling of an in-frame Val159 deletion predicts local disruption of the LRR domain consistent with trafficking and binding defects. Elfn1 knockout mice and zebrafish morphants display hyperactivity and epileptiform brain activity, supporting loss of function as the disease mechanism.
 Conclusion:Biallelic ELFN1 variants cause a loss-of-function recessive neurodevelopmental disorder—proposed as ELFN1 Deficiency Disorder—characterized by developmental delay, epilepsy and movement abnormalities, driven by impaired ELFN1 trafficking and disrupted mGlu receptor interactions.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:ELFN1  Deficiency: the mechanistic basis and phenotypic spectrum of a neurodevelopmental disorder with epilepsy
 First author:Dore R
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101506
 Reference:Dore R, Chang CT, Declève A, Brunori G, Ludlam WG, Huang A, Movahedinia M, Damseh NS, Anwar I, Vahidi Mehrjardi MY, Ny A, Khorrami M, Kheirollahi M, Frederiksen H, Eghbal F, Mirjalili MR, Dehghani M, Karimiani EG, Oreshkov S, Alves C, Striano P, Suri M, Martinez-Agosto J, Ansar M, Zahid M, Akram S, Ansar M, Nelson SF, Undiagnosed Diseases Network, Antonarakis SE, Houlden H, Copmans D, Martemyanov KA, Maroofian R. ELFN1 Deficiency: the mechanistic basis and phenotypic spectrum of a neurodevelopmental disorder with epilepsy. Genetics in Medicine. 2025. doi: https://doi.org/10.1016/j.gim.2025.101506
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/elfn1-deficiency-mechanisms-phenotype
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing ELFN1 function, variant impact on trafficking and mGlu binding, Val159del structural effects, cell-surface trafficking assays, mouse and zebrafish models, human clinical phenotype, and potential therapeutic directions.- transcript topics: ELFN1 function as trans-synaptic synaptic adhesion and mGlu receptor anchoring; Variants causing ELFN1 loss of function and trafficking defects; Val159del structural impact and loss of mGlu binding; Cell surface trafficking assays (biotinylation) and ectodomain pull-downs; Mouse Elfn1 knockout and haploinsufficiency hyperactivity; Zebrafish elfn1a/elfn1b mo...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[71: ELFN1 Deficiency: Mechanisms and Clinical Spectrum]]>
                </itunes:title>
                                    <itunes:episode>71</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Dore R et al., Genetics in Medicine - This episode reviews a multi-center study that defines ELFN1 deficiency as a recessive neurodevelopmental disorder. The authors report new patients with biallelic ELFN1 variants, show that pathogenic variants impair ELFN1 surface trafficking and mGlu receptor binding, and present mouse and zebrafish models that reproduce hyperactivity and epileptiform activity. Key terms: ELFN1, synaptic adhesion, epilepsy, neurodevelopmental disorder, loss of function.</p>
<p> Study Highlights:<br />The study describes eight new patients from five unrelated families with homozygous ELFN1 variants and integrates clinical data from previously reported cases to define a consistent spectrum of developmental delay, epilepsy and movement disorders. Functional assays in HEK293 cells showed that multiple ELFN1 variants severely reduce plasma membrane trafficking and abolish interaction with group III metabotropic glutamate receptors. Structural modelling of an in-frame Val159 deletion predicts local disruption of the LRR domain consistent with trafficking and binding defects. Elfn1 knockout mice and zebrafish morphants display hyperactivity and epileptiform brain activity, supporting loss of function as the disease mechanism.</p>
<p> Conclusion:<br />Biallelic ELFN1 variants cause a loss-of-function recessive neurodevelopmental disorder—proposed as ELFN1 Deficiency Disorder—characterized by developmental delay, epilepsy and movement abnormalities, driven by impaired ELFN1 trafficking and disrupted mGlu receptor interactions.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />ELFN1  Deficiency: the mechanistic basis and phenotypic spectrum of a neurodevelopmental disorder with epilepsy</p>
<p> First author:<br />Dore R</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101506</p>
<p> Reference:<br />Dore R, Chang CT, Declève A, Brunori G, Ludlam WG, Huang A, Movahedinia M, Damseh NS, Anwar I, Vahidi Mehrjardi MY, Ny A, Khorrami M, Kheirollahi M, Frederiksen H, Eghbal F, Mirjalili MR, Dehghani M, Karimiani EG, Oreshkov S, Alves C, Striano P, Suri M, Martinez-Agosto J, Ansar M, Zahid M, Akram S, Ansar M, Nelson SF, Undiagnosed Diseases Network, Antonarakis SE, Houlden H, Copmans D, Martemyanov KA, Maroofian R. ELFN1 Deficiency: the mechanistic basis and phenotypic spectrum of a neurodevelopmental disorder with epilepsy. Genetics in Medicine. 2025. doi: https://doi.org/10.1016/j.gim.2025.101506</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/elfn1-deficiency-mechanisms-phenotype</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing ELFN1 function, variant impact on trafficking and mGlu binding, Val159del structural effects, cell-surface trafficking assays, mouse and zebrafish models, human clinical phenotype, and potential therapeutic directions.<br />- transcript topics: ELFN1 function as trans-synaptic synaptic adhesion and mGlu receptor anchoring; Variants causing ELFN1 loss of function and trafficking defects; Val159del structural impact and loss of mGlu binding; Cell surface trafficking assays (biotinylation) and ectodomain pull-downs; Mouse Elfn1 knockout and haploinsufficiency hyperactivity; Zebrafish elfn1a/elfn1b morpholino knockdown, locomotor changes and LFP seizures</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ELFN1 functions as a synaptic cell adhesion molecule that binds and anchors group III mGlu receptors at synapses, with allosteric modulation of mGlu receptor function<br />- Biallelic ELFN1 variants disrupt ELFN1 trafficking to the cell surface, causing loss of function<br />- Val159del (c.475_477del) disrupts the LRR domain, severely impairs surface trafficking, and abolishes mGlu receptor binding<br />- Elfn1-/- mice show hyperactivity; Elfn1+/− mice also display hyperactivity (haploinsufficiency effect observed)<br />- Zebrafish elfn1a/b morphants show seizure-like behavior and increased epileptiform brain activity measured by LFP and PSD changes<br />- Epilepsy is present in the majority of patients (12/14) with onset ranging from neonatal to several years</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Dore R et al., Genetics in Medicine - This episode reviews a multi-center study that defines ELFN1 deficiency as a recessive neurodevelopmental disorder. The authors report new patients with biallelic ELFN1 variants, show that pathogenic variants impair ELFN1 surface trafficking and mGlu receptor binding, and present mouse and zebrafish models that reproduce hyperactivity and epileptiform activity. Key terms: ELFN1, synaptic adhesion, epilepsy, neurodevelopmental disorder, loss of function.
 Study Highlights:The study describes eight new patients from five unrelated families with homozygous ELFN1 variants and integrates clinical data from previously reported cases to define a consistent spectrum of developmental delay, epilepsy and movement disorders. Functional assays in HEK293 cells showed that multiple ELFN1 variants severely reduce plasma membrane trafficking and abolish interaction with group III metabotropic glutamate receptors. Structural modelling of an in-frame Val159 deletion predicts local disruption of the LRR domain consistent with trafficking and binding defects. Elfn1 knockout mice and zebrafish morphants display hyperactivity and epileptiform brain activity, supporting loss of function as the disease mechanism.
 Conclusion:Biallelic ELFN1 variants cause a loss-of-function recessive neurodevelopmental disorder—proposed as ELFN1 Deficiency Disorder—characterized by developmental delay, epilepsy and movement abnormalities, driven by impaired ELFN1 trafficking and disrupted mGlu receptor interactions.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:ELFN1  Deficiency: the mechanistic basis and phenotypic spectrum of a neurodevelopmental disorder with epilepsy
 First author:Dore R
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101506
 Reference:Dore R, Chang CT, Declève A, Brunori G, Ludlam WG, Huang A, Movahedinia M, Damseh NS, Anwar I, Vahidi Mehrjardi MY, Ny A, Khorrami M, Kheirollahi M, Frederiksen H, Eghbal F, Mirjalili MR, Dehghani M, Karimiani EG, Oreshkov S, Alves C, Striano P, Suri M, Martinez-Agosto J, Ansar M, Zahid M, Akram S, Ansar M, Nelson SF, Undiagnosed Diseases Network, Antonarakis SE, Houlden H, Copmans D, Martemyanov KA, Maroofian R. ELFN1 Deficiency: the mechanistic basis and phenotypic spectrum of a neurodevelopmental disorder with epilepsy. Genetics in Medicine. 2025. doi: https://doi.org/10.1016/j.gim.2025.101506
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/elfn1-deficiency-mechanisms-phenotype
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing ELFN1 function, variant impact on trafficking and mGlu binding, Val159del structural effects, cell-surface trafficking assays, mouse and zebrafish models, human clinical phenotype, and potential therapeutic directions.- transcript topics: ELFN1 function as trans-synaptic synaptic adhesion and mGlu receptor anchoring; Variants causing ELFN1 loss of function and trafficking defects; Val159del structural impact and loss of mGlu binding; Cell surface trafficking assays (biotinylation) and ectodomain pull-downs; Mouse Elfn1 knockout and haploinsufficiency hyperactivity; Zebrafish elfn1a/elfn1b mo...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107539/c1a-p6xp7-474k1jd1b0v6-ipncbj.png"></itunes:image>
                                                                            <itunes:duration>00:25:16</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[70: Encoding‑corrupted article (unable to extract)]]>
                </title>
                <pubDate>Wed, 09 Jul 2025 10:03:44 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    7f70ce24-c94d-40d8-92bd-811e3a74f659</guid>
                                    <link>https://basebybase.castos.com/episodes/papercast-base-by-base-70-encoding-corrupted</link>
                                <description>
                                            <![CDATA[<p>Goldberg D et al., Cell Genomics - This episode reviews an attached article PDF that was heavily encoding‑corrupted and largely unreadable. The file contains repeated nonstandard tokens and garbled text that prevented reliable extraction of aims, methods, or results. We describe the limits encountered and what is needed to produce a full Base by Base summary. Key terms: encoding corruption, corrupted PDF, unreadable text, data extraction, request readable file.</p>
<p> Study Highlights:<br />The provided PDF is heavily corrupted by encoding issues and contains mostly unreadable characters, preventing extraction of study aims, methods, and results. Recurrent tokens (for example “JUF yo…”, “Moz{ytm”) appear but are not interpretable as standard scientific metadata. Because the core text is not legible, no mechanistic or clinical findings could be validated from this file. Please supply a readable PDF or plain‑text version for a complete episode summary.</p>
<p> Conclusion:<br />The PDF could not be decoded into usable scientific content; provide a clear, correctly encoded file to generate a full PaperCast Base by Base episode.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Scalable screening of ternary-code DNA methylation dynamics associated with human traits</p>
<p> First author:<br />Goldberg D</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100929</p>
<p> Reference:<br />Goldberg D.C., Cloud C., Lee S.M., Barnes B., Gruber S., Kim E., et al.. Scalable screening of ternary-code DNA methylation dynamics associated with human traits. Cell Genomics, 5, 100929. (2025). https://doi.org/10.1016/j.xgen.2025.100929</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/papercast-base-by-base-70-encoding-corrupted</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited major scientific themes in the transcript: epigenetic modifications and Turnary code concept, MSA design and BCE protocol, tissue-specific methylation patterns, aging clocks, blood-based cell-type deconvolution, brain and immune cell profiling, and study limitations.<br />- transcript topics: Epigenetic modifications: 5mC and 5hmC dynamics; Methylation Screening Array (MSA) design and targets; Bisulfite conversion limitations and APOBEC-based deamination (BACE protocol); Turnary code concept: tri-state methylation encoding; Tissue-specific distribution and roles of 5hmC; Epigenetic clocks and age prediction</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Existence of a tri-state DNA methylation encoding (5mC, 5hmC, unmodified cytosine)<br />- MSA design with 284,317 unique probes (50% known trait markers, 50% cell-identity markers)<br />- BACE protocol (bisulfite + APOBEC) enables distinction of 5mC vs 5hmC vs unmodified cytosine via dual readouts<br />- 5hmC is tissue-specific, enriched in CNS, lowest in colon/lymph nodes<br />- 5hmC accumul...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Goldberg D et al., Cell Genomics - This episode reviews an attached article PDF that was heavily encoding‑corrupted and largely unreadable. The file contains repeated nonstandard tokens and garbled text that prevented reliable extraction of aims, methods, or results. We describe the limits encountered and what is needed to produce a full Base by Base summary. Key terms: encoding corruption, corrupted PDF, unreadable text, data extraction, request readable file.
 Study Highlights:The provided PDF is heavily corrupted by encoding issues and contains mostly unreadable characters, preventing extraction of study aims, methods, and results. Recurrent tokens (for example “JUF yo…”, “Moz{ytm”) appear but are not interpretable as standard scientific metadata. Because the core text is not legible, no mechanistic or clinical findings could be validated from this file. Please supply a readable PDF or plain‑text version for a complete episode summary.
 Conclusion:The PDF could not be decoded into usable scientific content; provide a clear, correctly encoded file to generate a full PaperCast Base by Base episode.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Scalable screening of ternary-code DNA methylation dynamics associated with human traits
 First author:Goldberg D
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100929
 Reference:Goldberg D.C., Cloud C., Lee S.M., Barnes B., Gruber S., Kim E., et al.. Scalable screening of ternary-code DNA methylation dynamics associated with human traits. Cell Genomics, 5, 100929. (2025). https://doi.org/10.1016/j.xgen.2025.100929
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/papercast-base-by-base-70-encoding-corrupted
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited major scientific themes in the transcript: epigenetic modifications and Turnary code concept, MSA design and BCE protocol, tissue-specific methylation patterns, aging clocks, blood-based cell-type deconvolution, brain and immune cell profiling, and study limitations.- transcript topics: Epigenetic modifications: 5mC and 5hmC dynamics; Methylation Screening Array (MSA) design and targets; Bisulfite conversion limitations and APOBEC-based deamination (BACE protocol); Turnary code concept: tri-state methylation encoding; Tissue-specific distribution and roles of 5hmC; Epigenetic clocks and age prediction
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Existence of a tri-state DNA methylation encoding (5mC, 5hmC, unmodified cytosine)- MSA design with 284,317 unique probes (50% known trait markers, 50% cell-identity markers)- BACE protocol (bisulfite + APOBEC) enables distinction of 5mC vs 5hmC vs unmodified cytosine via dual readouts- 5hmC is tissue-specific, enriched in CNS, lowest in colon/lymph nodes- 5hmC accumul...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[70: Encoding‑corrupted article (unable to extract)]]>
                </itunes:title>
                                    <itunes:episode>70</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Goldberg D et al., Cell Genomics - This episode reviews an attached article PDF that was heavily encoding‑corrupted and largely unreadable. The file contains repeated nonstandard tokens and garbled text that prevented reliable extraction of aims, methods, or results. We describe the limits encountered and what is needed to produce a full Base by Base summary. Key terms: encoding corruption, corrupted PDF, unreadable text, data extraction, request readable file.</p>
<p> Study Highlights:<br />The provided PDF is heavily corrupted by encoding issues and contains mostly unreadable characters, preventing extraction of study aims, methods, and results. Recurrent tokens (for example “JUF yo…”, “Moz{ytm”) appear but are not interpretable as standard scientific metadata. Because the core text is not legible, no mechanistic or clinical findings could be validated from this file. Please supply a readable PDF or plain‑text version for a complete episode summary.</p>
<p> Conclusion:<br />The PDF could not be decoded into usable scientific content; provide a clear, correctly encoded file to generate a full PaperCast Base by Base episode.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Scalable screening of ternary-code DNA methylation dynamics associated with human traits</p>
<p> First author:<br />Goldberg D</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100929</p>
<p> Reference:<br />Goldberg D.C., Cloud C., Lee S.M., Barnes B., Gruber S., Kim E., et al.. Scalable screening of ternary-code DNA methylation dynamics associated with human traits. Cell Genomics, 5, 100929. (2025). https://doi.org/10.1016/j.xgen.2025.100929</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/papercast-base-by-base-70-encoding-corrupted</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited major scientific themes in the transcript: epigenetic modifications and Turnary code concept, MSA design and BCE protocol, tissue-specific methylation patterns, aging clocks, blood-based cell-type deconvolution, brain and immune cell profiling, and study limitations.<br />- transcript topics: Epigenetic modifications: 5mC and 5hmC dynamics; Methylation Screening Array (MSA) design and targets; Bisulfite conversion limitations and APOBEC-based deamination (BACE protocol); Turnary code concept: tri-state methylation encoding; Tissue-specific distribution and roles of 5hmC; Epigenetic clocks and age prediction</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Existence of a tri-state DNA methylation encoding (5mC, 5hmC, unmodified cytosine)<br />- MSA design with 284,317 unique probes (50% known trait markers, 50% cell-identity markers)<br />- BACE protocol (bisulfite + APOBEC) enables distinction of 5mC vs 5hmC vs unmodified cytosine via dual readouts<br />- 5hmC is tissue-specific, enriched in CNS, lowest in colon/lymph nodes<br />- 5hmC accumulation with age linked to epigenetic clocks; clocks partly driven by 5mC changes<br />- Blood-based deconvolution demonstrates changes in immune cell populations with age and sex (64 samples; CD4+ T decrease, neutrophil increase; sex differences in CD8+ T and NK cells</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107541/c1e-o6zv5c2nmzvbmpmgn-1p2kdz0wcn0-5ivnqt.mp3?awCollectionId=66206&amp;awEpisodeId=7f70ce24-c94d-40d8-92bd-811e3a74f659&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fpapercast-base-by-base-70-encoding-corrupted&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=46b7ef75a59b31fe7b540be4da40bf1114ba6fa65f276b5d325f39bfa9edf645" length="36764397"
                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Goldberg D et al., Cell Genomics - This episode reviews an attached article PDF that was heavily encoding‑corrupted and largely unreadable. The file contains repeated nonstandard tokens and garbled text that prevented reliable extraction of aims, methods, or results. We describe the limits encountered and what is needed to produce a full Base by Base summary. Key terms: encoding corruption, corrupted PDF, unreadable text, data extraction, request readable file.
 Study Highlights:The provided PDF is heavily corrupted by encoding issues and contains mostly unreadable characters, preventing extraction of study aims, methods, and results. Recurrent tokens (for example “JUF yo…”, “Moz{ytm”) appear but are not interpretable as standard scientific metadata. Because the core text is not legible, no mechanistic or clinical findings could be validated from this file. Please supply a readable PDF or plain‑text version for a complete episode summary.
 Conclusion:The PDF could not be decoded into usable scientific content; provide a clear, correctly encoded file to generate a full PaperCast Base by Base episode.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Scalable screening of ternary-code DNA methylation dynamics associated with human traits
 First author:Goldberg D
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100929
 Reference:Goldberg D.C., Cloud C., Lee S.M., Barnes B., Gruber S., Kim E., et al.. Scalable screening of ternary-code DNA methylation dynamics associated with human traits. Cell Genomics, 5, 100929. (2025). https://doi.org/10.1016/j.xgen.2025.100929
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/papercast-base-by-base-70-encoding-corrupted
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited major scientific themes in the transcript: epigenetic modifications and Turnary code concept, MSA design and BCE protocol, tissue-specific methylation patterns, aging clocks, blood-based cell-type deconvolution, brain and immune cell profiling, and study limitations.- transcript topics: Epigenetic modifications: 5mC and 5hmC dynamics; Methylation Screening Array (MSA) design and targets; Bisulfite conversion limitations and APOBEC-based deamination (BACE protocol); Turnary code concept: tri-state methylation encoding; Tissue-specific distribution and roles of 5hmC; Epigenetic clocks and age prediction
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Existence of a tri-state DNA methylation encoding (5mC, 5hmC, unmodified cytosine)- MSA design with 284,317 unique probes (50% known trait markers, 50% cell-identity markers)- BACE protocol (bisulfite + APOBEC) enables distinction of 5mC vs 5hmC vs unmodified cytosine via dual readouts- 5hmC is tissue-specific, enriched in CNS, lowest in colon/lymph nodes- 5hmC accumul...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107541/c1a-p6xp7-6z8ow7druo50-b122v2.png"></itunes:image>
                                                                            <itunes:duration>00:19:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[69: PLK1 overexpression exposes an IGF2BP2 vulnerability]]>
                </title>
                <pubDate>Tue, 08 Jul 2025 09:58:08 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    1263c758-cb54-44f9-bd8a-28d414b6c9dd</guid>
                                    <link>https://basebybase.castos.com/episodes/plk1-igf2bp2-sdl-69</link>
                                <description>
                                            <![CDATA[<p>Cunningham C et al., Cell Genomics - This study used orthotopic breast PDX models, pooled and arrayed CRISPR/Cas9 screens, and Direct‑Capture Perturb‑seq to search for synthetic‑dosage‑lethal (SDL) partners of PLK1 across heterogeneous tumors. IGF2BP2 emerged as a top SDL hit using independent functional genomics approaches. Pharmacologic and genetic inhibition of IGF2BP2 impaired expansion of PLK1‑overexpressing tumors and altered stability of target mRNAs, supporting a mechanistic link. The work highlights a potential therapeutic strategy that targets a common vulnerability in PLK1‑high cancer cells despite intratumor heterogeneity. Key terms: PLK1, IGF2BP2, synthetic dosage lethality, CRISPR screen, breast PDX.</p>
<p> Study Highlights:<br />The authors combined pooled genome‑wide and arrayed CRISPR/Cas9 screens in breast PDX models with single‑cell Direct‑Capture Perturb‑seq to identify SDL interactions with PLK1. IGF2BP2 was repeatedly prioritized as a top SDL hit across independent screens. Functional follow‑up showed that inhibition of IGF2BP2 decreased expansion of PLK1‑overexpressing tumors and destabilized mRNAs linked to the PLK1 state. The results point to IGF2BP2 as a mechanistic and potentially druggable dependency in PLK1‑high tumors.</p>
<p> Conclusion:<br />Across multiple orthogonal in vivo and single‑cell genomic screens, IGF2BP2 is identified as a reproducible synthetic‑dosage‑lethal partner of PLK1; targeting IGF2BP2 reduces growth of PLK1‑overexpressing breast PDX tumors by perturbing mRNA stability pathways and may offer a strategy to exploit a shared vulnerability in heterogeneous cancers.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Three independent approaches identify IGF2BP2 as a top SDL target of PLK1</p>
<p> First author:<br />Cunningham C</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100876</p>
<p> Reference:<br />Cunningham C.E., Vizeacoumar F.S., Zhang Y., Kyrylenko L., Both S., Maranda V., et al.. Identification of targetable vulnerabilities of PLK1-overexpressing cancers by synthetic dosage lethality. Cell Genomics, 5, 100876. (2025). https://doi.org/10.1016/j.xgen.2025.100876</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/plk1-igf2bp2-sdl-69</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing SDL concept, IGF2BP2 mechanism (PLK1 mRNA stability and OxPhos transcripts), Direct-Capture Perturb-seq validation, pharmacological inhibition with C4, in vivo breast cancer PDX findings, safety window vs normal cells, and study limitations.<br />- transcript topics: SDL-based identification of IGF2BP2 as PLK1 dependency; IGF2BP2's role in PLK1 mRNA stability; IGF2BP2's stabilization of OxPhos transcripts; Direct-Capture Perturb-seq validation across heterogeneous tumors; Pharmacological IGF2BP2 inhibition with compound C4; Selective toxicity and therapeutic window in normal vs cancer cells</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Cunningham C et al., Cell Genomics - This study used orthotopic breast PDX models, pooled and arrayed CRISPR/Cas9 screens, and Direct‑Capture Perturb‑seq to search for synthetic‑dosage‑lethal (SDL) partners of PLK1 across heterogeneous tumors. IGF2BP2 emerged as a top SDL hit using independent functional genomics approaches. Pharmacologic and genetic inhibition of IGF2BP2 impaired expansion of PLK1‑overexpressing tumors and altered stability of target mRNAs, supporting a mechanistic link. The work highlights a potential therapeutic strategy that targets a common vulnerability in PLK1‑high cancer cells despite intratumor heterogeneity. Key terms: PLK1, IGF2BP2, synthetic dosage lethality, CRISPR screen, breast PDX.
 Study Highlights:The authors combined pooled genome‑wide and arrayed CRISPR/Cas9 screens in breast PDX models with single‑cell Direct‑Capture Perturb‑seq to identify SDL interactions with PLK1. IGF2BP2 was repeatedly prioritized as a top SDL hit across independent screens. Functional follow‑up showed that inhibition of IGF2BP2 decreased expansion of PLK1‑overexpressing tumors and destabilized mRNAs linked to the PLK1 state. The results point to IGF2BP2 as a mechanistic and potentially druggable dependency in PLK1‑high tumors.
 Conclusion:Across multiple orthogonal in vivo and single‑cell genomic screens, IGF2BP2 is identified as a reproducible synthetic‑dosage‑lethal partner of PLK1; targeting IGF2BP2 reduces growth of PLK1‑overexpressing breast PDX tumors by perturbing mRNA stability pathways and may offer a strategy to exploit a shared vulnerability in heterogeneous cancers.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Three independent approaches identify IGF2BP2 as a top SDL target of PLK1
 First author:Cunningham C
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100876
 Reference:Cunningham C.E., Vizeacoumar F.S., Zhang Y., Kyrylenko L., Both S., Maranda V., et al.. Identification of targetable vulnerabilities of PLK1-overexpressing cancers by synthetic dosage lethality. Cell Genomics, 5, 100876. (2025). https://doi.org/10.1016/j.xgen.2025.100876
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/plk1-igf2bp2-sdl-69
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing SDL concept, IGF2BP2 mechanism (PLK1 mRNA stability and OxPhos transcripts), Direct-Capture Perturb-seq validation, pharmacological inhibition with C4, in vivo breast cancer PDX findings, safety window vs normal cells, and study limitations.- transcript topics: SDL-based identification of IGF2BP2 as PLK1 dependency; IGF2BP2's role in PLK1 mRNA stability; IGF2BP2's stabilization of OxPhos transcripts; Direct-Capture Perturb-seq validation across heterogeneous tumors; Pharmacological IGF2BP2 inhibition with compound C4; Selective toxicity and therapeutic window in normal vs cancer cells
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[69: PLK1 overexpression exposes an IGF2BP2 vulnerability]]>
                </itunes:title>
                                    <itunes:episode>69</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Cunningham C et al., Cell Genomics - This study used orthotopic breast PDX models, pooled and arrayed CRISPR/Cas9 screens, and Direct‑Capture Perturb‑seq to search for synthetic‑dosage‑lethal (SDL) partners of PLK1 across heterogeneous tumors. IGF2BP2 emerged as a top SDL hit using independent functional genomics approaches. Pharmacologic and genetic inhibition of IGF2BP2 impaired expansion of PLK1‑overexpressing tumors and altered stability of target mRNAs, supporting a mechanistic link. The work highlights a potential therapeutic strategy that targets a common vulnerability in PLK1‑high cancer cells despite intratumor heterogeneity. Key terms: PLK1, IGF2BP2, synthetic dosage lethality, CRISPR screen, breast PDX.</p>
<p> Study Highlights:<br />The authors combined pooled genome‑wide and arrayed CRISPR/Cas9 screens in breast PDX models with single‑cell Direct‑Capture Perturb‑seq to identify SDL interactions with PLK1. IGF2BP2 was repeatedly prioritized as a top SDL hit across independent screens. Functional follow‑up showed that inhibition of IGF2BP2 decreased expansion of PLK1‑overexpressing tumors and destabilized mRNAs linked to the PLK1 state. The results point to IGF2BP2 as a mechanistic and potentially druggable dependency in PLK1‑high tumors.</p>
<p> Conclusion:<br />Across multiple orthogonal in vivo and single‑cell genomic screens, IGF2BP2 is identified as a reproducible synthetic‑dosage‑lethal partner of PLK1; targeting IGF2BP2 reduces growth of PLK1‑overexpressing breast PDX tumors by perturbing mRNA stability pathways and may offer a strategy to exploit a shared vulnerability in heterogeneous cancers.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Three independent approaches identify IGF2BP2 as a top SDL target of PLK1</p>
<p> First author:<br />Cunningham C</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100876</p>
<p> Reference:<br />Cunningham C.E., Vizeacoumar F.S., Zhang Y., Kyrylenko L., Both S., Maranda V., et al.. Identification of targetable vulnerabilities of PLK1-overexpressing cancers by synthetic dosage lethality. Cell Genomics, 5, 100876. (2025). https://doi.org/10.1016/j.xgen.2025.100876</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/plk1-igf2bp2-sdl-69</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-08.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing SDL concept, IGF2BP2 mechanism (PLK1 mRNA stability and OxPhos transcripts), Direct-Capture Perturb-seq validation, pharmacological inhibition with C4, in vivo breast cancer PDX findings, safety window vs normal cells, and study limitations.<br />- transcript topics: SDL-based identification of IGF2BP2 as PLK1 dependency; IGF2BP2's role in PLK1 mRNA stability; IGF2BP2's stabilization of OxPhos transcripts; Direct-Capture Perturb-seq validation across heterogeneous tumors; Pharmacological IGF2BP2 inhibition with compound C4; Selective toxicity and therapeutic window in normal vs cancer cells</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PLK1 is overexpressed in rapidly dividing cancer cells across tumor types<br />- IGF2BP2 identified as a top SDL hit with PLK1 by three independent approaches<br />- IGF2BP2 binds to PLK1 mRNA and stabilizes it; IGF2BP2 inhibition leads to downregulation of PLK1 transcripts<br />- IGF2BP2 also stabilizes transcripts driving oxidative phosphorylation (OXPHOS)<br />- Inhibition of IGF2BP2 reduces expansion of PLK1-overexpressing tumors and destabilizes target transcripts<br />- Exogenous ATP partially rescues energy-deprived cancer cells, linking lethality to metabolic collapse</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Cunningham C et al., Cell Genomics - This study used orthotopic breast PDX models, pooled and arrayed CRISPR/Cas9 screens, and Direct‑Capture Perturb‑seq to search for synthetic‑dosage‑lethal (SDL) partners of PLK1 across heterogeneous tumors. IGF2BP2 emerged as a top SDL hit using independent functional genomics approaches. Pharmacologic and genetic inhibition of IGF2BP2 impaired expansion of PLK1‑overexpressing tumors and altered stability of target mRNAs, supporting a mechanistic link. The work highlights a potential therapeutic strategy that targets a common vulnerability in PLK1‑high cancer cells despite intratumor heterogeneity. Key terms: PLK1, IGF2BP2, synthetic dosage lethality, CRISPR screen, breast PDX.
 Study Highlights:The authors combined pooled genome‑wide and arrayed CRISPR/Cas9 screens in breast PDX models with single‑cell Direct‑Capture Perturb‑seq to identify SDL interactions with PLK1. IGF2BP2 was repeatedly prioritized as a top SDL hit across independent screens. Functional follow‑up showed that inhibition of IGF2BP2 decreased expansion of PLK1‑overexpressing tumors and destabilized mRNAs linked to the PLK1 state. The results point to IGF2BP2 as a mechanistic and potentially druggable dependency in PLK1‑high tumors.
 Conclusion:Across multiple orthogonal in vivo and single‑cell genomic screens, IGF2BP2 is identified as a reproducible synthetic‑dosage‑lethal partner of PLK1; targeting IGF2BP2 reduces growth of PLK1‑overexpressing breast PDX tumors by perturbing mRNA stability pathways and may offer a strategy to exploit a shared vulnerability in heterogeneous cancers.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Three independent approaches identify IGF2BP2 as a top SDL target of PLK1
 First author:Cunningham C
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100876
 Reference:Cunningham C.E., Vizeacoumar F.S., Zhang Y., Kyrylenko L., Both S., Maranda V., et al.. Identification of targetable vulnerabilities of PLK1-overexpressing cancers by synthetic dosage lethality. Cell Genomics, 5, 100876. (2025). https://doi.org/10.1016/j.xgen.2025.100876
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/plk1-igf2bp2-sdl-69
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-08.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing SDL concept, IGF2BP2 mechanism (PLK1 mRNA stability and OxPhos transcripts), Direct-Capture Perturb-seq validation, pharmacological inhibition with C4, in vivo breast cancer PDX findings, safety window vs normal cells, and study limitations.- transcript topics: SDL-based identification of IGF2BP2 as PLK1 dependency; IGF2BP2's role in PLK1 mRNA stability; IGF2BP2's stabilization of OxPhos transcripts; Direct-Capture Perturb-seq validation across heterogeneous tumors; Pharmacological IGF2BP2 inhibition with compound C4; Selective toxicity and therapeutic window in normal vs cancer cells
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107542/c1a-p6xp7-rkg4d104aw5q-bluadh.png"></itunes:image>
                                                                            <itunes:duration>00:16:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[68: Indels Enable One-Step Antiviral Innovation in TRIM5a]]>
                </title>
                <pubDate>Mon, 07 Jul 2025 14:05:35 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    f5f77eb9-73f1-44e9-8330-549afb2682be</guid>
                                    <link>https://basebybase.castos.com/episodes/indels-antiviral-evolution-trim5a-68</link>
                                <description>
                                            <![CDATA[<p>Tenthorey JL et al., Cell Genomics - This episode examines a study showing that insertion/deletion mutations (indels) in the v1 loop of the antiviral protein TRIM5a can create new viral specificities in a single step, whereas missense mutations often cannot. The authors used saturation missense mutagenesis, combinatorial libraries, and a novel deep indel scanning approach to compare evolutionary potential. Key terms: TRIM5a, indels, deep mutational scanning, SIVsab, antiviral evolution.</p>
<p> Study Highlights:<br />The authors performed saturation missense mutagenesis and a novel deep indel scanning of the TRIM5a v1 loop to compare mutational routes to new antiviral specificity. No single missense mutation enabled human TRIM5a to restrict SIVsab, and combinatorial sampling showed six specific changes were required to recapitulate rhesus-like activity. In contrast, a single in-frame duplication of phenylalanine (F339dup) conferred potent SIVsab restriction and broadened activity to other lentiviruses. Naturally occurring primate TRIM5a indels similarly confer novel specificities, demonstrating indels as a distinct source of evolutionary innovation.</p>
<p> Conclusion:<br />In-frame indel mutations in disordered virus-binding loops can enable rapid, large-effect gains in antiviral function that are inaccessible to single amino-acid substitutions, and such indels have contributed to TRIM5a evolution across primates.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Indels allow antiviral proteins to evolve functional novelty inaccessible by missense mutations</p>
<p> First author:<br />Tenthorey JL</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100818</p>
<p> Reference:<br />Tenthorey JL, del Banco S, Ramzan I, Klingenberg H, Liu C, Emerman M, Malik HS. Indels allow antiviral proteins to evolve functional novelty inaccessible by missense mutations. Cell Genomics. 2025;5:100818. doi:10.1016/j.xgen.2025.100818</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/indels-antiviral-evolution-trim5a-68</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of TRIM5a v1 loop mutagenesis results, missense vs. indel contrasts, the F339dup indel finding, and the evolutionary history of indels in primates, including biophysical interpretation and limitations.<br />- transcript topics: TRIM5a v1 loop and lentiviral restriction; Missense mutational scanning (DMS) vs indel mutational potential; Deep indel scanning (DIS) and the F339dup finding; Natural primate TRIM5a indels and evolutionary history; Biophysical interpretation: entropic penalty and loop pre-folding; Evolutionary implications for antiviral specificity</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 3<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Missense mutations in the TRIM5a v1 loop do not confer SIVsab restriction in human TRIM5a<br />- A single in-frame indel (F339dup) enables...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Tenthorey JL et al., Cell Genomics - This episode examines a study showing that insertion/deletion mutations (indels) in the v1 loop of the antiviral protein TRIM5a can create new viral specificities in a single step, whereas missense mutations often cannot. The authors used saturation missense mutagenesis, combinatorial libraries, and a novel deep indel scanning approach to compare evolutionary potential. Key terms: TRIM5a, indels, deep mutational scanning, SIVsab, antiviral evolution.
 Study Highlights:The authors performed saturation missense mutagenesis and a novel deep indel scanning of the TRIM5a v1 loop to compare mutational routes to new antiviral specificity. No single missense mutation enabled human TRIM5a to restrict SIVsab, and combinatorial sampling showed six specific changes were required to recapitulate rhesus-like activity. In contrast, a single in-frame duplication of phenylalanine (F339dup) conferred potent SIVsab restriction and broadened activity to other lentiviruses. Naturally occurring primate TRIM5a indels similarly confer novel specificities, demonstrating indels as a distinct source of evolutionary innovation.
 Conclusion:In-frame indel mutations in disordered virus-binding loops can enable rapid, large-effect gains in antiviral function that are inaccessible to single amino-acid substitutions, and such indels have contributed to TRIM5a evolution across primates.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Indels allow antiviral proteins to evolve functional novelty inaccessible by missense mutations
 First author:Tenthorey JL
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100818
 Reference:Tenthorey JL, del Banco S, Ramzan I, Klingenberg H, Liu C, Emerman M, Malik HS. Indels allow antiviral proteins to evolve functional novelty inaccessible by missense mutations. Cell Genomics. 2025;5:100818. doi:10.1016/j.xgen.2025.100818
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/indels-antiviral-evolution-trim5a-68
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of TRIM5a v1 loop mutagenesis results, missense vs. indel contrasts, the F339dup indel finding, and the evolutionary history of indels in primates, including biophysical interpretation and limitations.- transcript topics: TRIM5a v1 loop and lentiviral restriction; Missense mutational scanning (DMS) vs indel mutational potential; Deep indel scanning (DIS) and the F339dup finding; Natural primate TRIM5a indels and evolutionary history; Biophysical interpretation: entropic penalty and loop pre-folding; Evolutionary implications for antiviral specificity
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 3- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Missense mutations in the TRIM5a v1 loop do not confer SIVsab restriction in human TRIM5a- A single in-frame indel (F339dup) enables...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[68: Indels Enable One-Step Antiviral Innovation in TRIM5a]]>
                </itunes:title>
                                    <itunes:episode>68</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Tenthorey JL et al., Cell Genomics - This episode examines a study showing that insertion/deletion mutations (indels) in the v1 loop of the antiviral protein TRIM5a can create new viral specificities in a single step, whereas missense mutations often cannot. The authors used saturation missense mutagenesis, combinatorial libraries, and a novel deep indel scanning approach to compare evolutionary potential. Key terms: TRIM5a, indels, deep mutational scanning, SIVsab, antiviral evolution.</p>
<p> Study Highlights:<br />The authors performed saturation missense mutagenesis and a novel deep indel scanning of the TRIM5a v1 loop to compare mutational routes to new antiviral specificity. No single missense mutation enabled human TRIM5a to restrict SIVsab, and combinatorial sampling showed six specific changes were required to recapitulate rhesus-like activity. In contrast, a single in-frame duplication of phenylalanine (F339dup) conferred potent SIVsab restriction and broadened activity to other lentiviruses. Naturally occurring primate TRIM5a indels similarly confer novel specificities, demonstrating indels as a distinct source of evolutionary innovation.</p>
<p> Conclusion:<br />In-frame indel mutations in disordered virus-binding loops can enable rapid, large-effect gains in antiviral function that are inaccessible to single amino-acid substitutions, and such indels have contributed to TRIM5a evolution across primates.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Indels allow antiviral proteins to evolve functional novelty inaccessible by missense mutations</p>
<p> First author:<br />Tenthorey JL</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100818</p>
<p> Reference:<br />Tenthorey JL, del Banco S, Ramzan I, Klingenberg H, Liu C, Emerman M, Malik HS. Indels allow antiviral proteins to evolve functional novelty inaccessible by missense mutations. Cell Genomics. 2025;5:100818. doi:10.1016/j.xgen.2025.100818</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/indels-antiviral-evolution-trim5a-68</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of TRIM5a v1 loop mutagenesis results, missense vs. indel contrasts, the F339dup indel finding, and the evolutionary history of indels in primates, including biophysical interpretation and limitations.<br />- transcript topics: TRIM5a v1 loop and lentiviral restriction; Missense mutational scanning (DMS) vs indel mutational potential; Deep indel scanning (DIS) and the F339dup finding; Natural primate TRIM5a indels and evolutionary history; Biophysical interpretation: entropic penalty and loop pre-folding; Evolutionary implications for antiviral specificity</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 3<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Missense mutations in the TRIM5a v1 loop do not confer SIVsab restriction in human TRIM5a<br />- A single in-frame indel (F339dup) enables potent SIVsab restriction in human TRIM5a in one evolutionary step<br />- F339dup also broadens restriction to HIV-1 and SIVcpz without apparent cost<br />- A 5xRh plus a sixth rhesus-mimicking mutation is required for SIVsab restriction in human TRIM5a via missense mutations; six independent mutations are needed<br />- Naturally occurring primate TRIM5a indels (2-aa insertion; 20-aa duplication; 9-aa deletion) map to evolving antiviral specificities</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Tenthorey JL et al., Cell Genomics - This episode examines a study showing that insertion/deletion mutations (indels) in the v1 loop of the antiviral protein TRIM5a can create new viral specificities in a single step, whereas missense mutations often cannot. The authors used saturation missense mutagenesis, combinatorial libraries, and a novel deep indel scanning approach to compare evolutionary potential. Key terms: TRIM5a, indels, deep mutational scanning, SIVsab, antiviral evolution.
 Study Highlights:The authors performed saturation missense mutagenesis and a novel deep indel scanning of the TRIM5a v1 loop to compare mutational routes to new antiviral specificity. No single missense mutation enabled human TRIM5a to restrict SIVsab, and combinatorial sampling showed six specific changes were required to recapitulate rhesus-like activity. In contrast, a single in-frame duplication of phenylalanine (F339dup) conferred potent SIVsab restriction and broadened activity to other lentiviruses. Naturally occurring primate TRIM5a indels similarly confer novel specificities, demonstrating indels as a distinct source of evolutionary innovation.
 Conclusion:In-frame indel mutations in disordered virus-binding loops can enable rapid, large-effect gains in antiviral function that are inaccessible to single amino-acid substitutions, and such indels have contributed to TRIM5a evolution across primates.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Indels allow antiviral proteins to evolve functional novelty inaccessible by missense mutations
 First author:Tenthorey JL
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100818
 Reference:Tenthorey JL, del Banco S, Ramzan I, Klingenberg H, Liu C, Emerman M, Malik HS. Indels allow antiviral proteins to evolve functional novelty inaccessible by missense mutations. Cell Genomics. 2025;5:100818. doi:10.1016/j.xgen.2025.100818
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/indels-antiviral-evolution-trim5a-68
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of TRIM5a v1 loop mutagenesis results, missense vs. indel contrasts, the F339dup indel finding, and the evolutionary history of indels in primates, including biophysical interpretation and limitations.- transcript topics: TRIM5a v1 loop and lentiviral restriction; Missense mutational scanning (DMS) vs indel mutational potential; Deep indel scanning (DIS) and the F339dup finding; Natural primate TRIM5a indels and evolutionary history; Biophysical interpretation: entropic penalty and loop pre-folding; Evolutionary implications for antiviral specificity
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 3- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Missense mutations in the TRIM5a v1 loop do not confer SIVsab restriction in human TRIM5a- A single in-frame indel (F339dup) enables...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107544/c1a-p6xp7-pkn4jrd3am3m-xk7mk1.png"></itunes:image>
                                                                            <itunes:duration>00:16:04</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[67: M-REGLE: Multimodal AI improves genetic prediction of cardiovascular traits]]>
                </title>
                <pubDate>Sun, 06 Jul 2025 14:10:58 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    995e35f4-b8a1-4f4d-8626-956e111ed1a7</guid>
                                    <link>https://basebybase.castos.com/episodes/m-regle-multimodal-ai-ecg-ppg-gwas</link>
                                <description>
                                            <![CDATA[<p>Zhou Y et al., The American Journal of Human Genetics - This episode explores M-REGLE, a multimodal deep‑learning pipeline that jointly learns representations from ECG and PPG waveforms to boost GWAS discovery and polygenic risk prediction for cardiovascular traits, including atrial fibrillation, and validates results across multiple biobanks. Key terms: M-REGLE, multimodal learning, ECG, PPG, GWAS.</p>
<p> Study Highlights:<br />The authors developed M-REGLE, an early‑fusion convolutional variational autoencoder that jointly encodes complementary electrophysiological waveforms (12‑lead ECG, ECG lead I, and PPG) into low‑dimensional embeddings, then ran GWAS on orthogonalized PCs and combined chi‑squared statistics. Compared to unimodal representation learning (U‑REGLE), M‑REGLE reduced reconstruction error, discovered more genome‑wide significant hits and loci (e.g., ~19.3% more loci on 12‑lead ECG and ~13.0% more on ECG lead I + PPG), and yielded higher expected chi‑squared statistics. Polygenic risk scores built from M‑REGLE hits significantly improved prediction for several cardiovascular phenotypes, notably atrial fibrillation, and findings were validated in Indiana Biobank, EPIC‑Norfolk, and the British Women’s Heart and Health Study. The method generalized to adding a third modality (spirograms) and outperformed PCA and CAE baselines in power and enrichment for cardiovascular terms.</p>
<p> Conclusion:<br />Joint multimodal representation learning with M‑REGLE leverages complementary ECG and PPG signals to increase GWAS power and improve polygenic risk prediction for cardiac traits, demonstrating a practical route to use wearable waveform data for genetic discovery.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits</p>
<p> First author:<br />Zhou Y</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.05.015</p>
<p> Reference:<br />Zhou Y., Khasentino J., Yun T., et al. Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits. The American Journal of Human Genetics. 2025;112:1562–1579. https://doi.org/10.1016/j.ajhg.2025.05.015</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/m-regle-multimodal-ai-ecg-ppg-gwas</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections cover the M-REGLE architecture (early fusion VAE), comparison with unimodal REGLE, reconstruction improvements, GWAS power gains, PRS performance for atrial fibrillation, cross-biobank validation, and extension to spirograms.<br />- transcript topics: M-REGLE concept and early fusion; VAE latent embeddings and joint multimodal representation; Canonical correlation between ECG lead I and PPG; GWAS power gains and loci discovery (12-lead ECG and lead I + PPG); Polygenic risk scores and atrial fibrillation prediction; Cross-biobank validation (UK Biobank, Indiana Biobank, EPIC-Norfolk, BWHHS)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 4<br />- claims flagged for review: 0<br />- metadata che...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zhou Y et al., The American Journal of Human Genetics - This episode explores M-REGLE, a multimodal deep‑learning pipeline that jointly learns representations from ECG and PPG waveforms to boost GWAS discovery and polygenic risk prediction for cardiovascular traits, including atrial fibrillation, and validates results across multiple biobanks. Key terms: M-REGLE, multimodal learning, ECG, PPG, GWAS.
 Study Highlights:The authors developed M-REGLE, an early‑fusion convolutional variational autoencoder that jointly encodes complementary electrophysiological waveforms (12‑lead ECG, ECG lead I, and PPG) into low‑dimensional embeddings, then ran GWAS on orthogonalized PCs and combined chi‑squared statistics. Compared to unimodal representation learning (U‑REGLE), M‑REGLE reduced reconstruction error, discovered more genome‑wide significant hits and loci (e.g., ~19.3% more loci on 12‑lead ECG and ~13.0% more on ECG lead I + PPG), and yielded higher expected chi‑squared statistics. Polygenic risk scores built from M‑REGLE hits significantly improved prediction for several cardiovascular phenotypes, notably atrial fibrillation, and findings were validated in Indiana Biobank, EPIC‑Norfolk, and the British Women’s Heart and Health Study. The method generalized to adding a third modality (spirograms) and outperformed PCA and CAE baselines in power and enrichment for cardiovascular terms.
 Conclusion:Joint multimodal representation learning with M‑REGLE leverages complementary ECG and PPG signals to increase GWAS power and improve polygenic risk prediction for cardiac traits, demonstrating a practical route to use wearable waveform data for genetic discovery.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits
 First author:Zhou Y
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.05.015
 Reference:Zhou Y., Khasentino J., Yun T., et al. Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits. The American Journal of Human Genetics. 2025;112:1562–1579. https://doi.org/10.1016/j.ajhg.2025.05.015
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/m-regle-multimodal-ai-ecg-ppg-gwas
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections cover the M-REGLE architecture (early fusion VAE), comparison with unimodal REGLE, reconstruction improvements, GWAS power gains, PRS performance for atrial fibrillation, cross-biobank validation, and extension to spirograms.- transcript topics: M-REGLE concept and early fusion; VAE latent embeddings and joint multimodal representation; Canonical correlation between ECG lead I and PPG; GWAS power gains and loci discovery (12-lead ECG and lead I + PPG); Polygenic risk scores and atrial fibrillation prediction; Cross-biobank validation (UK Biobank, Indiana Biobank, EPIC-Norfolk, BWHHS)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 4- claims flagged for review: 0- metadata che...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[67: M-REGLE: Multimodal AI improves genetic prediction of cardiovascular traits]]>
                </itunes:title>
                                    <itunes:episode>67</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zhou Y et al., The American Journal of Human Genetics - This episode explores M-REGLE, a multimodal deep‑learning pipeline that jointly learns representations from ECG and PPG waveforms to boost GWAS discovery and polygenic risk prediction for cardiovascular traits, including atrial fibrillation, and validates results across multiple biobanks. Key terms: M-REGLE, multimodal learning, ECG, PPG, GWAS.</p>
<p> Study Highlights:<br />The authors developed M-REGLE, an early‑fusion convolutional variational autoencoder that jointly encodes complementary electrophysiological waveforms (12‑lead ECG, ECG lead I, and PPG) into low‑dimensional embeddings, then ran GWAS on orthogonalized PCs and combined chi‑squared statistics. Compared to unimodal representation learning (U‑REGLE), M‑REGLE reduced reconstruction error, discovered more genome‑wide significant hits and loci (e.g., ~19.3% more loci on 12‑lead ECG and ~13.0% more on ECG lead I + PPG), and yielded higher expected chi‑squared statistics. Polygenic risk scores built from M‑REGLE hits significantly improved prediction for several cardiovascular phenotypes, notably atrial fibrillation, and findings were validated in Indiana Biobank, EPIC‑Norfolk, and the British Women’s Heart and Health Study. The method generalized to adding a third modality (spirograms) and outperformed PCA and CAE baselines in power and enrichment for cardiovascular terms.</p>
<p> Conclusion:<br />Joint multimodal representation learning with M‑REGLE leverages complementary ECG and PPG signals to increase GWAS power and improve polygenic risk prediction for cardiac traits, demonstrating a practical route to use wearable waveform data for genetic discovery.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits</p>
<p> First author:<br />Zhou Y</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.05.015</p>
<p> Reference:<br />Zhou Y., Khasentino J., Yun T., et al. Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits. The American Journal of Human Genetics. 2025;112:1562–1579. https://doi.org/10.1016/j.ajhg.2025.05.015</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/m-regle-multimodal-ai-ecg-ppg-gwas</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections cover the M-REGLE architecture (early fusion VAE), comparison with unimodal REGLE, reconstruction improvements, GWAS power gains, PRS performance for atrial fibrillation, cross-biobank validation, and extension to spirograms.<br />- transcript topics: M-REGLE concept and early fusion; VAE latent embeddings and joint multimodal representation; Canonical correlation between ECG lead I and PPG; GWAS power gains and loci discovery (12-lead ECG and lead I + PPG); Polygenic risk scores and atrial fibrillation prediction; Cross-biobank validation (UK Biobank, Indiana Biobank, EPIC-Norfolk, BWHHS)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 4<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Early fusion M-REGLE combines ECG and PPG data into a single joint representation for GWAS and downstream analyses.<br />- M-REGLE reduces waveform reconstruction error compared to unimodal methods (72.5% reduction for 12-lead ECG; 20.2% reduction for ECG lead I + PPG).<br />- M-REGLE identifies more genetic loci than unimodal approaches: 262 hits and 142 loci on 12-lead ECG, with 20 novel loci; ECG lead I + PPG yields 103 hits and 61 loci with 14 and 7<br />- There is a 22.0% increase in the expected chi-squared statistic for 12-lead ECG when using M-REGLE versus unimodal methods (and 16.4% for ECG lead I + PPG).<br />- Polygenic risk scores built from M-REGLE hits outperform unimodal PRS in predicting atrial fibrillation in UK Biobank (AUROC 0.59 vs 0.57; AUPRC 0.10 vs 0.09).<br />- PRS performance for Afib and related phenotypes validated in independent biobanks (Indiana Biobank, EPIC-Norfolk, British Women’s Heart and Health Study).</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Zhou Y et al., The American Journal of Human Genetics - This episode explores M-REGLE, a multimodal deep‑learning pipeline that jointly learns representations from ECG and PPG waveforms to boost GWAS discovery and polygenic risk prediction for cardiovascular traits, including atrial fibrillation, and validates results across multiple biobanks. Key terms: M-REGLE, multimodal learning, ECG, PPG, GWAS.
 Study Highlights:The authors developed M-REGLE, an early‑fusion convolutional variational autoencoder that jointly encodes complementary electrophysiological waveforms (12‑lead ECG, ECG lead I, and PPG) into low‑dimensional embeddings, then ran GWAS on orthogonalized PCs and combined chi‑squared statistics. Compared to unimodal representation learning (U‑REGLE), M‑REGLE reduced reconstruction error, discovered more genome‑wide significant hits and loci (e.g., ~19.3% more loci on 12‑lead ECG and ~13.0% more on ECG lead I + PPG), and yielded higher expected chi‑squared statistics. Polygenic risk scores built from M‑REGLE hits significantly improved prediction for several cardiovascular phenotypes, notably atrial fibrillation, and findings were validated in Indiana Biobank, EPIC‑Norfolk, and the British Women’s Heart and Health Study. The method generalized to adding a third modality (spirograms) and outperformed PCA and CAE baselines in power and enrichment for cardiovascular terms.
 Conclusion:Joint multimodal representation learning with M‑REGLE leverages complementary ECG and PPG signals to increase GWAS power and improve polygenic risk prediction for cardiac traits, demonstrating a practical route to use wearable waveform data for genetic discovery.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits
 First author:Zhou Y
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.05.015
 Reference:Zhou Y., Khasentino J., Yun T., et al. Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traits. The American Journal of Human Genetics. 2025;112:1562–1579. https://doi.org/10.1016/j.ajhg.2025.05.015
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/m-regle-multimodal-ai-ecg-ppg-gwas
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections cover the M-REGLE architecture (early fusion VAE), comparison with unimodal REGLE, reconstruction improvements, GWAS power gains, PRS performance for atrial fibrillation, cross-biobank validation, and extension to spirograms.- transcript topics: M-REGLE concept and early fusion; VAE latent embeddings and joint multimodal representation; Canonical correlation between ECG lead I and PPG; GWAS power gains and loci discovery (12-lead ECG and lead I + PPG); Polygenic risk scores and atrial fibrillation prediction; Cross-biobank validation (UK Biobank, Indiana Biobank, EPIC-Norfolk, BWHHS)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 4- claims flagged for review: 0- metadata che...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:14:47</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[66: Mainstreaming Clinical Genetic Testing: A Conceptual Framework]]>
                </title>
                <pubDate>Sat, 05 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    be2a4d59-a62f-43d9-be81-104bdb3f918e</guid>
                                    <link>https://basebybase.castos.com/episodes/mainstreaming-clinical-genetic-testing-framework-1</link>
                                <description>
                                            <![CDATA[<p>Mackley MP et al., Genetics in Medicine - This episode summarizes a consensus-derived framework for mainstreaming clinical genetic testing developed from a Canadian expert focus group. The framework defines terminology, maps diagnostic pathway activities, and describes four models that vary by when genetics services become involved. Key terms: Clinical genetics, Genetic testing, Mainstreaming, Service delivery, Genomic medicine.</p>
<p> Study Highlights:<br />The authors convened a consensus focus group of 35 genetics experts from 20 clinical genetics services across Canada and combined this with literature review and iterative manuscript revision. They produced consensus definitions for mainstreaming-related terms and grouped diagnostic activities into four stages. The framework defines four mainstreaming models (to-test, to-result, to-navigation, autonomous) distinguished by the point at which responsibility shifts from nongeneticist clinicians to genetics services and identifies six categories of variables that influence model suitability. The authors propose the framework to guide standardized design, reporting, and evaluation of mainstreaming efforts to optimize genetics resources and patient care.</p>
<p> Conclusion:<br />A generalizable, high-level framework describing four mainstreaming models and influencing variables can guide implementation and standardized evaluation of clinical genetic testing outside traditional genetics services to improve access and resource use.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Mainstreaming of clinical genetic testing: A conceptual framework</p>
<p> First author:<br />Mackley MP</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101465</p>
<p> Reference:<br />Mackley MP, Richer J, Guerin A, et al. Mainstreaming of clinical genetic testing: A conceptual framework. Genetics in Medicine. 2025;27:101465. doi:https://doi.org/10.1016/j.gim.2025.101465</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mainstreaming-clinical-genetic-testing-framework</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections that define the mainstreaming concept, describe the four models, enumerate the six influence variables, map models to the diagnostic care pathway, provide real-world examples, discuss reporting readability and workforce education, and cover limitations and cascade-screening implications.<br />- transcript topics: Mainstreaming concept and framework; Four mainstreaming models: to-test, to-result, to-navigation, autonomous; Six variables influencing model suitability; Mapping models to diagnostic care pathway (assessment, pretesting, laboratory, post-testing); Real-world examples (CMA in autism, oncology panels, lab reporting/readability, cascade screening); Lab reporting readability and clinician education</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Fac...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Mackley MP et al., Genetics in Medicine - This episode summarizes a consensus-derived framework for mainstreaming clinical genetic testing developed from a Canadian expert focus group. The framework defines terminology, maps diagnostic pathway activities, and describes four models that vary by when genetics services become involved. Key terms: Clinical genetics, Genetic testing, Mainstreaming, Service delivery, Genomic medicine.
 Study Highlights:The authors convened a consensus focus group of 35 genetics experts from 20 clinical genetics services across Canada and combined this with literature review and iterative manuscript revision. They produced consensus definitions for mainstreaming-related terms and grouped diagnostic activities into four stages. The framework defines four mainstreaming models (to-test, to-result, to-navigation, autonomous) distinguished by the point at which responsibility shifts from nongeneticist clinicians to genetics services and identifies six categories of variables that influence model suitability. The authors propose the framework to guide standardized design, reporting, and evaluation of mainstreaming efforts to optimize genetics resources and patient care.
 Conclusion:A generalizable, high-level framework describing four mainstreaming models and influencing variables can guide implementation and standardized evaluation of clinical genetic testing outside traditional genetics services to improve access and resource use.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Mainstreaming of clinical genetic testing: A conceptual framework
 First author:Mackley MP
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101465
 Reference:Mackley MP, Richer J, Guerin A, et al. Mainstreaming of clinical genetic testing: A conceptual framework. Genetics in Medicine. 2025;27:101465. doi:https://doi.org/10.1016/j.gim.2025.101465
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mainstreaming-clinical-genetic-testing-framework
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections that define the mainstreaming concept, describe the four models, enumerate the six influence variables, map models to the diagnostic care pathway, provide real-world examples, discuss reporting readability and workforce education, and cover limitations and cascade-screening implications.- transcript topics: Mainstreaming concept and framework; Four mainstreaming models: to-test, to-result, to-navigation, autonomous; Six variables influencing model suitability; Mapping models to diagnostic care pathway (assessment, pretesting, laboratory, post-testing); Real-world examples (CMA in autism, oncology panels, lab reporting/readability, cascade screening); Lab reporting readability and clinician education
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Fac...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[66: Mainstreaming Clinical Genetic Testing: A Conceptual Framework]]>
                </itunes:title>
                                    <itunes:episode>66</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Mackley MP et al., Genetics in Medicine - This episode summarizes a consensus-derived framework for mainstreaming clinical genetic testing developed from a Canadian expert focus group. The framework defines terminology, maps diagnostic pathway activities, and describes four models that vary by when genetics services become involved. Key terms: Clinical genetics, Genetic testing, Mainstreaming, Service delivery, Genomic medicine.</p>
<p> Study Highlights:<br />The authors convened a consensus focus group of 35 genetics experts from 20 clinical genetics services across Canada and combined this with literature review and iterative manuscript revision. They produced consensus definitions for mainstreaming-related terms and grouped diagnostic activities into four stages. The framework defines four mainstreaming models (to-test, to-result, to-navigation, autonomous) distinguished by the point at which responsibility shifts from nongeneticist clinicians to genetics services and identifies six categories of variables that influence model suitability. The authors propose the framework to guide standardized design, reporting, and evaluation of mainstreaming efforts to optimize genetics resources and patient care.</p>
<p> Conclusion:<br />A generalizable, high-level framework describing four mainstreaming models and influencing variables can guide implementation and standardized evaluation of clinical genetic testing outside traditional genetics services to improve access and resource use.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Mainstreaming of clinical genetic testing: A conceptual framework</p>
<p> First author:<br />Mackley MP</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101465</p>
<p> Reference:<br />Mackley MP, Richer J, Guerin A, et al. Mainstreaming of clinical genetic testing: A conceptual framework. Genetics in Medicine. 2025;27:101465. doi:https://doi.org/10.1016/j.gim.2025.101465</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mainstreaming-clinical-genetic-testing-framework</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections that define the mainstreaming concept, describe the four models, enumerate the six influence variables, map models to the diagnostic care pathway, provide real-world examples, discuss reporting readability and workforce education, and cover limitations and cascade-screening implications.<br />- transcript topics: Mainstreaming concept and framework; Four mainstreaming models: to-test, to-result, to-navigation, autonomous; Six variables influencing model suitability; Mapping models to diagnostic care pathway (assessment, pretesting, laboratory, post-testing); Real-world examples (CMA in autism, oncology panels, lab reporting/readability, cascade screening); Lab reporting readability and clinician education</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Four mainstreaming models described: to-test, to-result, to-navigation, autonomous<br />- Six influencing variables for model suitability: patient, disease, test, report, clinician, system<br />- Models mapped to stages of the diagnostic care pathway: assessment, pretesting, laboratory, post-testing<br />- Real-world examples linked to models (CMA in autism, oncology panels, lab reporting/readability, cascade screening)<br />- Emphasis on standardization, evaluation, and workforce education in genomics<br />- Limitations acknowledged: Canadian context and representation gaps</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107545/c1e-0jp63ikmd0qh101pm-kpo4d6d6f75w-xoxra0.mp3?awCollectionId=66206&amp;awEpisodeId=be2a4d59-a62f-43d9-be81-104bdb3f918e&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fmainstreaming-clinical-genetic-testing-framework-1&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=9b76c8e9d7a5d86679e170aad880f5d0ecfc2ad4302baae2b1d0c85239b7cbb0" length="32924205"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Mackley MP et al., Genetics in Medicine - This episode summarizes a consensus-derived framework for mainstreaming clinical genetic testing developed from a Canadian expert focus group. The framework defines terminology, maps diagnostic pathway activities, and describes four models that vary by when genetics services become involved. Key terms: Clinical genetics, Genetic testing, Mainstreaming, Service delivery, Genomic medicine.
 Study Highlights:The authors convened a consensus focus group of 35 genetics experts from 20 clinical genetics services across Canada and combined this with literature review and iterative manuscript revision. They produced consensus definitions for mainstreaming-related terms and grouped diagnostic activities into four stages. The framework defines four mainstreaming models (to-test, to-result, to-navigation, autonomous) distinguished by the point at which responsibility shifts from nongeneticist clinicians to genetics services and identifies six categories of variables that influence model suitability. The authors propose the framework to guide standardized design, reporting, and evaluation of mainstreaming efforts to optimize genetics resources and patient care.
 Conclusion:A generalizable, high-level framework describing four mainstreaming models and influencing variables can guide implementation and standardized evaluation of clinical genetic testing outside traditional genetics services to improve access and resource use.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Mainstreaming of clinical genetic testing: A conceptual framework
 First author:Mackley MP
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101465
 Reference:Mackley MP, Richer J, Guerin A, et al. Mainstreaming of clinical genetic testing: A conceptual framework. Genetics in Medicine. 2025;27:101465. doi:https://doi.org/10.1016/j.gim.2025.101465
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mainstreaming-clinical-genetic-testing-framework
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections that define the mainstreaming concept, describe the four models, enumerate the six influence variables, map models to the diagnostic care pathway, provide real-world examples, discuss reporting readability and workforce education, and cover limitations and cascade-screening implications.- transcript topics: Mainstreaming concept and framework; Four mainstreaming models: to-test, to-result, to-navigation, autonomous; Six variables influencing model suitability; Mapping models to diagnostic care pathway (assessment, pretesting, laboratory, post-testing); Real-world examples (CMA in autism, oncology panels, lab reporting/readability, cascade screening); Lab reporting readability and clinician education
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Fac...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107545/c1a-p6xp7-gpj3k6k6fvor-hlb1tx.png"></itunes:image>
                                                                            <itunes:duration>00:20:02</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[65: Hidden splice variants in FBN1 — genome sequencing finds Marfan diagnoses]]>
                </title>
                <pubDate>Fri, 04 Jul 2025 10:00:01 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    89f35702-0ea5-41d6-bf4c-a4d41736e4be</guid>
                                    <link>https://basebybase.castos.com/episodes/fibrillin1-noncanonical-splice-marfan-100kgp</link>
                                <description>
                                            <![CDATA[<p>Walker S et al., Genetics in Medicine - This episode reviews a systematic analysis of ultra-rare FBN1 variants in the 100,000 Genomes Project using SpliceAI, RNA assays and minigene tests. The study identified 20 non-canonical splice variants across 23 families, confirmed splicing defects for 16 variants, and estimates these variants account for ~3% of undiagnosed FTAAD/Marfan families. The work highlights the value of intronic analysis and confirmatory RNA testing in clinical genomics. Key terms: Marfan syndrome, FBN1, splicing, pseudoexon, genome sequencing.</p>
<p> Study Highlights:<br />The authors screened 78,195 genomes from the 100,000 Genomes Project and identified 20 unique non-canonical FBN1 splice variants in 23 families, with significant enrichment among participants recruited for Familial Thoracic Aortic Aneurysm Disease (OR=84, p=9.7x10-14). Experimental validation (RT-PCR, RNAseq, minigene assays) confirmed aberrant splicing in 16 of 20 variants and revealed pseudoexonization as a common mechanism. Most actionable variants lay beyond the ±8 bp windows used in routine testing, and the study estimates a diagnostic yield of ~3% from these non-canonical splice events in undiagnosed FTAAD families.</p>
<p> Conclusion:<br />Genome sequencing combined with expanded splice prediction and confirmatory RNA testing uncovers non-canonical FBN1 splice variants that meaningfully increase molecular diagnoses for Marfan/FTAAD and should be integrated into testing pipelines with appropriate RNA-capacity.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome</p>
<p> First author:<br />Walker S</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101477</p>
<p> Reference:<br />Walker S, Bunyan DJ, Thomas HB, et al. Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101477</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/fibrillin1-noncanonical-splice-marfan-100kgp</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit focused on the deep intronic FBN1 splice-variant discovery, computational prediction with expanded windows, laboratory validation (RNA, minigene), enrichment statistics, diagnostic yield, and ACMG interpretation; also notes limitations and replication in UK Biobank.<br />- transcript topics: Non-canonical FBN1 splice variants in 100kGP; SpliceAI prediction and 500bp window expansion; RNA validation: RT-PCR and RNAseq; Minigene assays and functional testing; Enrichment in FTAAD and odds ratio (OR); Diagnostic yield and cascade testing implications</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 20 unique cryptic FBN1 splice variants identified across 23 families (32 affected individuals)<br />- 7:14 split? (clarify not needed)...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Walker S et al., Genetics in Medicine - This episode reviews a systematic analysis of ultra-rare FBN1 variants in the 100,000 Genomes Project using SpliceAI, RNA assays and minigene tests. The study identified 20 non-canonical splice variants across 23 families, confirmed splicing defects for 16 variants, and estimates these variants account for ~3% of undiagnosed FTAAD/Marfan families. The work highlights the value of intronic analysis and confirmatory RNA testing in clinical genomics. Key terms: Marfan syndrome, FBN1, splicing, pseudoexon, genome sequencing.
 Study Highlights:The authors screened 78,195 genomes from the 100,000 Genomes Project and identified 20 unique non-canonical FBN1 splice variants in 23 families, with significant enrichment among participants recruited for Familial Thoracic Aortic Aneurysm Disease (OR=84, p=9.7x10-14). Experimental validation (RT-PCR, RNAseq, minigene assays) confirmed aberrant splicing in 16 of 20 variants and revealed pseudoexonization as a common mechanism. Most actionable variants lay beyond the ±8 bp windows used in routine testing, and the study estimates a diagnostic yield of ~3% from these non-canonical splice events in undiagnosed FTAAD families.
 Conclusion:Genome sequencing combined with expanded splice prediction and confirmatory RNA testing uncovers non-canonical FBN1 splice variants that meaningfully increase molecular diagnoses for Marfan/FTAAD and should be integrated into testing pipelines with appropriate RNA-capacity.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome
 First author:Walker S
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101477
 Reference:Walker S, Bunyan DJ, Thomas HB, et al. Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101477
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/fibrillin1-noncanonical-splice-marfan-100kgp
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit focused on the deep intronic FBN1 splice-variant discovery, computational prediction with expanded windows, laboratory validation (RNA, minigene), enrichment statistics, diagnostic yield, and ACMG interpretation; also notes limitations and replication in UK Biobank.- transcript topics: Non-canonical FBN1 splice variants in 100kGP; SpliceAI prediction and 500bp window expansion; RNA validation: RT-PCR and RNAseq; Minigene assays and functional testing; Enrichment in FTAAD and odds ratio (OR); Diagnostic yield and cascade testing implications
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 20 unique cryptic FBN1 splice variants identified across 23 families (32 affected individuals)- 7:14 split? (clarify not needed)...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[65: Hidden splice variants in FBN1 — genome sequencing finds Marfan diagnoses]]>
                </itunes:title>
                                    <itunes:episode>65</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Walker S et al., Genetics in Medicine - This episode reviews a systematic analysis of ultra-rare FBN1 variants in the 100,000 Genomes Project using SpliceAI, RNA assays and minigene tests. The study identified 20 non-canonical splice variants across 23 families, confirmed splicing defects for 16 variants, and estimates these variants account for ~3% of undiagnosed FTAAD/Marfan families. The work highlights the value of intronic analysis and confirmatory RNA testing in clinical genomics. Key terms: Marfan syndrome, FBN1, splicing, pseudoexon, genome sequencing.</p>
<p> Study Highlights:<br />The authors screened 78,195 genomes from the 100,000 Genomes Project and identified 20 unique non-canonical FBN1 splice variants in 23 families, with significant enrichment among participants recruited for Familial Thoracic Aortic Aneurysm Disease (OR=84, p=9.7x10-14). Experimental validation (RT-PCR, RNAseq, minigene assays) confirmed aberrant splicing in 16 of 20 variants and revealed pseudoexonization as a common mechanism. Most actionable variants lay beyond the ±8 bp windows used in routine testing, and the study estimates a diagnostic yield of ~3% from these non-canonical splice events in undiagnosed FTAAD families.</p>
<p> Conclusion:<br />Genome sequencing combined with expanded splice prediction and confirmatory RNA testing uncovers non-canonical FBN1 splice variants that meaningfully increase molecular diagnoses for Marfan/FTAAD and should be integrated into testing pipelines with appropriate RNA-capacity.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome</p>
<p> First author:<br />Walker S</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101477</p>
<p> Reference:<br />Walker S, Bunyan DJ, Thomas HB, et al. Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101477</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/fibrillin1-noncanonical-splice-marfan-100kgp</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-04.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit focused on the deep intronic FBN1 splice-variant discovery, computational prediction with expanded windows, laboratory validation (RNA, minigene), enrichment statistics, diagnostic yield, and ACMG interpretation; also notes limitations and replication in UK Biobank.<br />- transcript topics: Non-canonical FBN1 splice variants in 100kGP; SpliceAI prediction and 500bp window expansion; RNA validation: RT-PCR and RNAseq; Minigene assays and functional testing; Enrichment in FTAAD and odds ratio (OR); Diagnostic yield and cascade testing implications</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 20 unique cryptic FBN1 splice variants identified across 23 families (32 affected individuals)<br />- 7:14 split? (clarify not needed) 70% of variants lie beyond the ±8 splice regions<br />- RNA or functional confirmation performed for 16/20 variants<br />- 9/20 variants predicted to cause pseudoexon inclusion<br />- Odds ratio for enrichment of candidate splice variants in FTAAD cohort: OR = 84 (p = 9.7e-14)<br />- Diagnostic yield estimated at ~3% among unsolved FTAAD families</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Walker S et al., Genetics in Medicine - This episode reviews a systematic analysis of ultra-rare FBN1 variants in the 100,000 Genomes Project using SpliceAI, RNA assays and minigene tests. The study identified 20 non-canonical splice variants across 23 families, confirmed splicing defects for 16 variants, and estimates these variants account for ~3% of undiagnosed FTAAD/Marfan families. The work highlights the value of intronic analysis and confirmatory RNA testing in clinical genomics. Key terms: Marfan syndrome, FBN1, splicing, pseudoexon, genome sequencing.
 Study Highlights:The authors screened 78,195 genomes from the 100,000 Genomes Project and identified 20 unique non-canonical FBN1 splice variants in 23 families, with significant enrichment among participants recruited for Familial Thoracic Aortic Aneurysm Disease (OR=84, p=9.7x10-14). Experimental validation (RT-PCR, RNAseq, minigene assays) confirmed aberrant splicing in 16 of 20 variants and revealed pseudoexonization as a common mechanism. Most actionable variants lay beyond the ±8 bp windows used in routine testing, and the study estimates a diagnostic yield of ~3% from these non-canonical splice events in undiagnosed FTAAD families.
 Conclusion:Genome sequencing combined with expanded splice prediction and confirmatory RNA testing uncovers non-canonical FBN1 splice variants that meaningfully increase molecular diagnoses for Marfan/FTAAD and should be integrated into testing pipelines with appropriate RNA-capacity.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome
 First author:Walker S
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101477
 Reference:Walker S, Bunyan DJ, Thomas HB, et al. Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101477
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/fibrillin1-noncanonical-splice-marfan-100kgp
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-04.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit focused on the deep intronic FBN1 splice-variant discovery, computational prediction with expanded windows, laboratory validation (RNA, minigene), enrichment statistics, diagnostic yield, and ACMG interpretation; also notes limitations and replication in UK Biobank.- transcript topics: Non-canonical FBN1 splice variants in 100kGP; SpliceAI prediction and 500bp window expansion; RNA validation: RT-PCR and RNAseq; Minigene assays and functional testing; Enrichment in FTAAD and odds ratio (OR); Diagnostic yield and cascade testing implications
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 20 unique cryptic FBN1 splice variants identified across 23 families (32 affected individuals)- 7:14 split? (clarify not needed)...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107546/c1a-p6xp7-8d8r9g76h0p-d7uayb.png"></itunes:image>
                                                                            <itunes:duration>00:18:37</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[64: A Garbled PDF]]>
                </title>
                <pubDate>Thu, 03 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    cfedeaff-b392-4aba-813d-c14553e27ce1</guid>
                                    <link>https://basebybase.castos.com/episodes/base-by-base-64-garbled-pdf</link>
                                <description>
                                            <![CDATA[<p>Xu H et al., Cell Genomics - This episode examines a heavily corrupted PDF provided as the source. The text is dominated by recurring, unreadable tokens (e.g., Wt�mo�, m{yltzk�t{z, k�ryoz�k�t{z) and fragmented sections, preventing clear extraction of aims or results. We walk listeners through what can and cannot be recovered from the file. Key terms: Wt�mo�, m{yltzk�t{z, k�ryoz�k�t{z, oqqom�t�owÞ, J~�rGkzv.</p>
<p> Study Highlights:<br />The supplied PDF is extensively corrupted and repeatedly contains tokens such as "Wt�mo�", "m{yltzk�t{z", and "k�ryoz�k�t{z" that recur throughout. Sections also reference forms like "oqqom�t�owÞ" and labels such as "J~�rGkzv", suggesting structured headings or entities but unreadable encoding. Because of pervasive formatting and encoding errors the study's aims, methods and results cannot be reliably extracted from the text.</p>
<p> Conclusion:<br />The PDF text is too corrupted to recover definitive conclusions; a clean source is required for meaningful interpretation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Pisces: A multi-modal data augmentation approach for drug combination synergy prediction</p>
<p> First author:<br />Xu H</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100892</p>
<p> Reference:<br />Xu H., Lin J., Woicik A., Liu Z., Ma J., Zhang S., et al.. Pisces: A multi-modal data augmentation approach for drug combination synergy prediction. Cell Genomics, 5, 100892. (2025). https://doi.org/10.1016/j.xgen.2025.100892</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-64-garbled-pdf</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited sections describing Pisces architecture, data augmentation, the 64-view augmenter, the noisy-label aggregator, and the key experimental results (cell lines, unseen drug pairs, 3-drug synergy, in vivo) plus limitations and clinical implications.<br />- transcript topics: Problem of drug synergy and data scarcity; Multimodal data augmentation concept (Pisces); Eight modalities per drug and universal embedding; The augmenter: 8 x 8 views = 64 augmented views; Noisy label aggregator selecting top 8 predictions; Evaluation on GDSC data and unseen drug pair/cell line splits</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Pisces uses 8 modalities per drug and forms 64 augmented views for each drug pair<br />- Projector translates cross-modality representations into a shared embedding space<br />- Aggregator employs noisy label learning and retains the top 8 predictions<br />- Unseen 2-drug combinations: F1 improves by ~24% over the next-best approach<br />- Unseen cell lines: F1 improvement &gt; ~10%<br />- Triplet (3-drug) synergy evaluation: AUROC = 0.8525</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Xu H et al., Cell Genomics - This episode examines a heavily corrupted PDF provided as the source. The text is dominated by recurring, unreadable tokens (e.g., Wt�mo�, m{yltzk�t{z, k�ryoz�k�t{z) and fragmented sections, preventing clear extraction of aims or results. We walk listeners through what can and cannot be recovered from the file. Key terms: Wt�mo�, m{yltzk�t{z, k�ryoz�k�t{z, oqqom�t�owÞ, J~�rGkzv.
 Study Highlights:The supplied PDF is extensively corrupted and repeatedly contains tokens such as "Wt�mo�", "m{yltzk�t{z", and "k�ryoz�k�t{z" that recur throughout. Sections also reference forms like "oqqom�t�owÞ" and labels such as "J~�rGkzv", suggesting structured headings or entities but unreadable encoding. Because of pervasive formatting and encoding errors the study's aims, methods and results cannot be reliably extracted from the text.
 Conclusion:The PDF text is too corrupted to recover definitive conclusions; a clean source is required for meaningful interpretation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Pisces: A multi-modal data augmentation approach for drug combination synergy prediction
 First author:Xu H
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100892
 Reference:Xu H., Lin J., Woicik A., Liu Z., Ma J., Zhang S., et al.. Pisces: A multi-modal data augmentation approach for drug combination synergy prediction. Cell Genomics, 5, 100892. (2025). https://doi.org/10.1016/j.xgen.2025.100892
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-64-garbled-pdf
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited sections describing Pisces architecture, data augmentation, the 64-view augmenter, the noisy-label aggregator, and the key experimental results (cell lines, unseen drug pairs, 3-drug synergy, in vivo) plus limitations and clinical implications.- transcript topics: Problem of drug synergy and data scarcity; Multimodal data augmentation concept (Pisces); Eight modalities per drug and universal embedding; The augmenter: 8 x 8 views = 64 augmented views; Noisy label aggregator selecting top 8 predictions; Evaluation on GDSC data and unseen drug pair/cell line splits
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Pisces uses 8 modalities per drug and forms 64 augmented views for each drug pair- Projector translates cross-modality representations into a shared embedding space- Aggregator employs noisy label learning and retains the top 8 predictions- Unseen 2-drug combinations: F1 improves by ~24% over the next-best approach- Unseen cell lines: F1 improvement > ~10%- Triplet (3-drug) synergy evaluation: AUROC = 0.8525
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[64: A Garbled PDF]]>
                </itunes:title>
                                    <itunes:episode>64</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Xu H et al., Cell Genomics - This episode examines a heavily corrupted PDF provided as the source. The text is dominated by recurring, unreadable tokens (e.g., Wt�mo�, m{yltzk�t{z, k�ryoz�k�t{z) and fragmented sections, preventing clear extraction of aims or results. We walk listeners through what can and cannot be recovered from the file. Key terms: Wt�mo�, m{yltzk�t{z, k�ryoz�k�t{z, oqqom�t�owÞ, J~�rGkzv.</p>
<p> Study Highlights:<br />The supplied PDF is extensively corrupted and repeatedly contains tokens such as "Wt�mo�", "m{yltzk�t{z", and "k�ryoz�k�t{z" that recur throughout. Sections also reference forms like "oqqom�t�owÞ" and labels such as "J~�rGkzv", suggesting structured headings or entities but unreadable encoding. Because of pervasive formatting and encoding errors the study's aims, methods and results cannot be reliably extracted from the text.</p>
<p> Conclusion:<br />The PDF text is too corrupted to recover definitive conclusions; a clean source is required for meaningful interpretation.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Pisces: A multi-modal data augmentation approach for drug combination synergy prediction</p>
<p> First author:<br />Xu H</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100892</p>
<p> Reference:<br />Xu H., Lin J., Woicik A., Liu Z., Ma J., Zhang S., et al.. Pisces: A multi-modal data augmentation approach for drug combination synergy prediction. Cell Genomics, 5, 100892. (2025). https://doi.org/10.1016/j.xgen.2025.100892</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-64-garbled-pdf</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-03.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited sections describing Pisces architecture, data augmentation, the 64-view augmenter, the noisy-label aggregator, and the key experimental results (cell lines, unseen drug pairs, 3-drug synergy, in vivo) plus limitations and clinical implications.<br />- transcript topics: Problem of drug synergy and data scarcity; Multimodal data augmentation concept (Pisces); Eight modalities per drug and universal embedding; The augmenter: 8 x 8 views = 64 augmented views; Noisy label aggregator selecting top 8 predictions; Evaluation on GDSC data and unseen drug pair/cell line splits</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Pisces uses 8 modalities per drug and forms 64 augmented views for each drug pair<br />- Projector translates cross-modality representations into a shared embedding space<br />- Aggregator employs noisy label learning and retains the top 8 predictions<br />- Unseen 2-drug combinations: F1 improves by ~24% over the next-best approach<br />- Unseen cell lines: F1 improvement &gt; ~10%<br />- Triplet (3-drug) synergy evaluation: AUROC = 0.8525</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107547/c1e-m6jzvcqd1xjsovo5q-z31d5o6dc22m-cbhnnh.mp3?awCollectionId=66206&amp;awEpisodeId=cfedeaff-b392-4aba-813d-c14553e27ce1&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fbase-by-base-64-garbled-pdf&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=8c4bf1868b698f2e355db2899facec095952445439db565bf8a60957df5cc31d" length="35134893"
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                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Xu H et al., Cell Genomics - This episode examines a heavily corrupted PDF provided as the source. The text is dominated by recurring, unreadable tokens (e.g., Wt�mo�, m{yltzk�t{z, k�ryoz�k�t{z) and fragmented sections, preventing clear extraction of aims or results. We walk listeners through what can and cannot be recovered from the file. Key terms: Wt�mo�, m{yltzk�t{z, k�ryoz�k�t{z, oqqom�t�owÞ, J~�rGkzv.
 Study Highlights:The supplied PDF is extensively corrupted and repeatedly contains tokens such as "Wt�mo�", "m{yltzk�t{z", and "k�ryoz�k�t{z" that recur throughout. Sections also reference forms like "oqqom�t�owÞ" and labels such as "J~�rGkzv", suggesting structured headings or entities but unreadable encoding. Because of pervasive formatting and encoding errors the study's aims, methods and results cannot be reliably extracted from the text.
 Conclusion:The PDF text is too corrupted to recover definitive conclusions; a clean source is required for meaningful interpretation.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Pisces: A multi-modal data augmentation approach for drug combination synergy prediction
 First author:Xu H
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100892
 Reference:Xu H., Lin J., Woicik A., Liu Z., Ma J., Zhang S., et al.. Pisces: A multi-modal data augmentation approach for drug combination synergy prediction. Cell Genomics, 5, 100892. (2025). https://doi.org/10.1016/j.xgen.2025.100892
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-64-garbled-pdf
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-03.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited sections describing Pisces architecture, data augmentation, the 64-view augmenter, the noisy-label aggregator, and the key experimental results (cell lines, unseen drug pairs, 3-drug synergy, in vivo) plus limitations and clinical implications.- transcript topics: Problem of drug synergy and data scarcity; Multimodal data augmentation concept (Pisces); Eight modalities per drug and universal embedding; The augmenter: 8 x 8 views = 64 augmented views; Noisy label aggregator selecting top 8 predictions; Evaluation on GDSC data and unseen drug pair/cell line splits
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Pisces uses 8 modalities per drug and forms 64 augmented views for each drug pair- Projector translates cross-modality representations into a shared embedding space- Aggregator employs noisy label learning and retains the top 8 predictions- Unseen 2-drug combinations: F1 improves by ~24% over the next-best approach- Unseen cell lines: F1 improvement > ~10%- Triplet (3-drug) synergy evaluation: AUROC = 0.8525
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107547/c1a-p6xp7-8d8w6mp9b5v-ubhp3j.png"></itunes:image>
                                                                            <itunes:duration>00:23:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[63: Discovery vs. Dilution: How Sampling Breadth Shapes Rare Variant Discovery]]>
                </title>
                <pubDate>Wed, 02 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    80870e79-e54c-4ef4-a60e-1cd46ac95277</guid>
                                    <link>https://basebybase.castos.com/episodes/discovery-dilution-sampling-breadth-rare-variants</link>
                                <description>
                                            <![CDATA[<p>Steiner MC et al., PNAS - This episode examines a theoretical and empirical study showing how the geographic breadth of sampling affects discovery and observed frequencies of deleterious rare variants. The authors develop a spatial stochastic model, validate it with simulations, and test predictions using UK Biobank exome resampling. Key terms: sampling breadth, rare variants, negative selection, site frequency spectrum, UK Biobank.</p>
<p> Study Highlights:<br />The authors build a stochastic spatial model that combines dispersal, genetic drift, selection, mutation, and geographically concentrated sampling to derive expected sample site frequency spectra for deleterious variants. They find that broader sampling increases the number of distinct variants discovered ("discovery") while reducing the average observed frequency per variant ("dilution"). The magnitude of these effects scales with the sampling breadth relative to the allele spread length (`c), sample size, and selection strength. Theoretical predictions are validated with branching-process and SLiM simulations and by in silico resampling of UK Biobank exomes.</p>
<p> Conclusion:<br />Geographic sampling breadth produces a trade-off: broader samples discover more distinct deleterious variants but each at lower frequency, a pattern that affects association study power and SFS-based inference of negative selection. Study design for biobank-scale genetics should explicitly account for sampling breadth and its downstream effects.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Study design and the sampling of deleterious rare variants in biobank-scale datasets</p>
<p> First author:<br />Steiner MC</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2425196122</p>
<p> Reference:<br />Steiner MC, Rice DP, Biddanda A, Ianni-Ravna MK, Porras C, Novembre J. Study design and the sampling of deleterious rare variants in biobank-scale datasets. PNAS. 2025;122:e2425196122. https://doi.org/10.1073/pnas.2425196122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/discovery-dilution-sampling-breadth-rare-variants</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing (1) geographic breadth effects on variant discovery and frequency (discovery vs dilution), (2) the stochastic spatial model and sampling breadth parameter w, (3) UK Biobank exome resampling results, and (4) implications for GWAS power and inference of negative selection, inclu<br />- transcript topics: Geographic breadth and site frequency spectrum (SFS); Discovery and dilution trade-off; Stochastic spatial model and sampling breadth (w) and characteristic length (c); UK Biobank exome resampling results (LoF variants, heterozygosity, singletons); Implications for GWAS power and inference of negative selection; Model limitations and boundary conditions (torus assumption vs real geography)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- artic...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Steiner MC et al., PNAS - This episode examines a theoretical and empirical study showing how the geographic breadth of sampling affects discovery and observed frequencies of deleterious rare variants. The authors develop a spatial stochastic model, validate it with simulations, and test predictions using UK Biobank exome resampling. Key terms: sampling breadth, rare variants, negative selection, site frequency spectrum, UK Biobank.
 Study Highlights:The authors build a stochastic spatial model that combines dispersal, genetic drift, selection, mutation, and geographically concentrated sampling to derive expected sample site frequency spectra for deleterious variants. They find that broader sampling increases the number of distinct variants discovered ("discovery") while reducing the average observed frequency per variant ("dilution"). The magnitude of these effects scales with the sampling breadth relative to the allele spread length (`c), sample size, and selection strength. Theoretical predictions are validated with branching-process and SLiM simulations and by in silico resampling of UK Biobank exomes.
 Conclusion:Geographic sampling breadth produces a trade-off: broader samples discover more distinct deleterious variants but each at lower frequency, a pattern that affects association study power and SFS-based inference of negative selection. Study design for biobank-scale genetics should explicitly account for sampling breadth and its downstream effects.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Study design and the sampling of deleterious rare variants in biobank-scale datasets
 First author:Steiner MC
 Journal:PNAS
 DOI:10.1073/pnas.2425196122
 Reference:Steiner MC, Rice DP, Biddanda A, Ianni-Ravna MK, Porras C, Novembre J. Study design and the sampling of deleterious rare variants in biobank-scale datasets. PNAS. 2025;122:e2425196122. https://doi.org/10.1073/pnas.2425196122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/discovery-dilution-sampling-breadth-rare-variants
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing (1) geographic breadth effects on variant discovery and frequency (discovery vs dilution), (2) the stochastic spatial model and sampling breadth parameter w, (3) UK Biobank exome resampling results, and (4) implications for GWAS power and inference of negative selection, inclu- transcript topics: Geographic breadth and site frequency spectrum (SFS); Discovery and dilution trade-off; Stochastic spatial model and sampling breadth (w) and characteristic length (c); UK Biobank exome resampling results (LoF variants, heterozygosity, singletons); Implications for GWAS power and inference of negative selection; Model limitations and boundary conditions (torus assumption vs real geography)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- artic...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[63: Discovery vs. Dilution: How Sampling Breadth Shapes Rare Variant Discovery]]>
                </itunes:title>
                                    <itunes:episode>63</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Steiner MC et al., PNAS - This episode examines a theoretical and empirical study showing how the geographic breadth of sampling affects discovery and observed frequencies of deleterious rare variants. The authors develop a spatial stochastic model, validate it with simulations, and test predictions using UK Biobank exome resampling. Key terms: sampling breadth, rare variants, negative selection, site frequency spectrum, UK Biobank.</p>
<p> Study Highlights:<br />The authors build a stochastic spatial model that combines dispersal, genetic drift, selection, mutation, and geographically concentrated sampling to derive expected sample site frequency spectra for deleterious variants. They find that broader sampling increases the number of distinct variants discovered ("discovery") while reducing the average observed frequency per variant ("dilution"). The magnitude of these effects scales with the sampling breadth relative to the allele spread length (`c), sample size, and selection strength. Theoretical predictions are validated with branching-process and SLiM simulations and by in silico resampling of UK Biobank exomes.</p>
<p> Conclusion:<br />Geographic sampling breadth produces a trade-off: broader samples discover more distinct deleterious variants but each at lower frequency, a pattern that affects association study power and SFS-based inference of negative selection. Study design for biobank-scale genetics should explicitly account for sampling breadth and its downstream effects.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Study design and the sampling of deleterious rare variants in biobank-scale datasets</p>
<p> First author:<br />Steiner MC</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2425196122</p>
<p> Reference:<br />Steiner MC, Rice DP, Biddanda A, Ianni-Ravna MK, Porras C, Novembre J. Study design and the sampling of deleterious rare variants in biobank-scale datasets. PNAS. 2025;122:e2425196122. https://doi.org/10.1073/pnas.2425196122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/discovery-dilution-sampling-breadth-rare-variants</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-02.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing (1) geographic breadth effects on variant discovery and frequency (discovery vs dilution), (2) the stochastic spatial model and sampling breadth parameter w, (3) UK Biobank exome resampling results, and (4) implications for GWAS power and inference of negative selection, inclu<br />- transcript topics: Geographic breadth and site frequency spectrum (SFS); Discovery and dilution trade-off; Stochastic spatial model and sampling breadth (w) and characteristic length (c); UK Biobank exome resampling results (LoF variants, heterozygosity, singletons); Implications for GWAS power and inference of negative selection; Model limitations and boundary conditions (torus assumption vs real geography)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Broad geographic sampling increases the number of distinct deleterious variants discovered (discovery).<br />- Broad geographic sampling reduces the average frequency of each discovered variant (dilution).<br />- The average allele frequency across the entire study is unchanged by sampling breadth (discovery-dilution balance).<br />- UK Biobank resampling shows 72.3% more loss-of-function (LoF) variants discovered with broader sampling, and 36.75% lower heterozygosity at LoF variant sites; singletons increase s<br />- There is a discovery vs dilution trade-off affecting GWAS power and inference of negative selection.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107548/c1e-g6zrncmn089f050d4-v6v2n03mtvpj-tfqz2x.mp3?awCollectionId=66206&amp;awEpisodeId=80870e79-e54c-4ef4-a60e-1cd46ac95277&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fdiscovery-dilution-sampling-breadth-rare-variants&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=6785d650966b94223282768c7e0d48a67177d2e8a2e7183d6265f0fed5abf10a" length="33307821"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Steiner MC et al., PNAS - This episode examines a theoretical and empirical study showing how the geographic breadth of sampling affects discovery and observed frequencies of deleterious rare variants. The authors develop a spatial stochastic model, validate it with simulations, and test predictions using UK Biobank exome resampling. Key terms: sampling breadth, rare variants, negative selection, site frequency spectrum, UK Biobank.
 Study Highlights:The authors build a stochastic spatial model that combines dispersal, genetic drift, selection, mutation, and geographically concentrated sampling to derive expected sample site frequency spectra for deleterious variants. They find that broader sampling increases the number of distinct variants discovered ("discovery") while reducing the average observed frequency per variant ("dilution"). The magnitude of these effects scales with the sampling breadth relative to the allele spread length (`c), sample size, and selection strength. Theoretical predictions are validated with branching-process and SLiM simulations and by in silico resampling of UK Biobank exomes.
 Conclusion:Geographic sampling breadth produces a trade-off: broader samples discover more distinct deleterious variants but each at lower frequency, a pattern that affects association study power and SFS-based inference of negative selection. Study design for biobank-scale genetics should explicitly account for sampling breadth and its downstream effects.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Study design and the sampling of deleterious rare variants in biobank-scale datasets
 First author:Steiner MC
 Journal:PNAS
 DOI:10.1073/pnas.2425196122
 Reference:Steiner MC, Rice DP, Biddanda A, Ianni-Ravna MK, Porras C, Novembre J. Study design and the sampling of deleterious rare variants in biobank-scale datasets. PNAS. 2025;122:e2425196122. https://doi.org/10.1073/pnas.2425196122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/discovery-dilution-sampling-breadth-rare-variants
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-02.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing (1) geographic breadth effects on variant discovery and frequency (discovery vs dilution), (2) the stochastic spatial model and sampling breadth parameter w, (3) UK Biobank exome resampling results, and (4) implications for GWAS power and inference of negative selection, inclu- transcript topics: Geographic breadth and site frequency spectrum (SFS); Discovery and dilution trade-off; Stochastic spatial model and sampling breadth (w) and characteristic length (c); UK Biobank exome resampling results (LoF variants, heterozygosity, singletons); Implications for GWAS power and inference of negative selection; Model limitations and boundary conditions (torus assumption vs real geography)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- artic...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107548/c1a-p6xp7-z31d5on8f7x3-vroxi2.png"></itunes:image>
                                                                            <itunes:duration>00:23:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[62: When Origins Fail: Pre-RC Loss and PARP Inhibitor Resistance]]>
                </title>
                <pubDate>Tue, 01 Jul 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    9ef72ac5-4435-40b7-91e6-d32cda57b9d8</guid>
                                    <link>https://basebybase.castos.com/episodes/pre-rc-loss-parpi-resistance</link>
                                <description>
                                            <![CDATA[<p>Pappas K et al., PNAS - A genome-wide CRISPR screen in Brca2‑deficient murine prostate organoids identifies loss-of-function in DNA prereplication complex genes (CDT1, CDC6, DBF4) as a reversion‑independent mechanism of resistance to PARP inhibitors; pharmacologic disruption of the Geminin–CDT1 interaction can restore sensitivity. Key terms: PARP inhibitors, BRCA2, prereplication complex, prostate cancer, organoids.</p>
<p> Study Highlights:<br />Using primary mouse prostate organoids with engineered Brca2 loss and genome-wide CRISPR screening, the authors found multiple independent sgRNAs targeting pre‑RC genes (Cdt1, Cdc6, Dbf4) that confer resistance to olaparib and the PARP1-selective inhibitor AZD5305. Pre‑RC loss promoted rapid resolution of PARPi‑induced DNA damage and rescued replication fork protection in Brca2‑deficient cells. Copy number loss of CDT1 is frequent in CRPC and overlaps with BRCA2 loss, suggesting potential biomarker relevance. Pharmacologic disruption of the Geminin–CDT1 interaction (AF615) restored PARPi sensitivity in selected pre‑RC deficient models.</p>
<p> Conclusion:<br />Impaired DNA prereplication complex function provides a reversion‑mutation‑independent route to PARP inhibitor resistance in BRCA2‑deficient prostate cancer models, and targeting the Geminin–CDT1 axis may reverse resistance in specific contexts.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />BRCA2 reversion mutation–independent resistance to PARP inhibition through impaired DNA prereplication complex function</p>
<p> First author:<br />Pappas K</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2426743122</p>
<p> Reference:<br />Pappas K., Ferrari M., Smith P., et al. BRCA2 reversion mutation–independent resistance to PARP inhibition through impaired DNA prereplication complex function. PNAS. 2025;122(23):e2426743122. doi:10.1073/pnas.2426743122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pre-rc-loss-parpi-resistance</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-01.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing BRCA2-deficient PARPi resistance, the DNA prereplication complex (CDT1, CDC6, DBF4), replication fork protection and γH2AX dynamics, Geminin regulation and AF615/Geminin–CDT1 axis as a therapeutic angle, and clinical biomarker implications (CDT1 copy-number loss in CRPC).<br />- transcript topics: BRCA2-deficient PARP inhibitor resistance in prostate organoids; DNA prereplication complex (CDT1, CDC6, DBF4) and PARPi resistance; Replication fork protection and γH2AX dynamics under PARPi; Geminin regulation of pre-RC and CDT1 sequestration; AF615 and AZD5305 combination therapy to reverse resistance; CDT1 copy-number loss as a CRPC biomarker</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Upfront PARP inhibitor resistance is common in BRCA-mutant CRPC (~50%).<br />- Genome-wide CRISPR screens repeatedly identified CDT1, CDC...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Pappas K et al., PNAS - A genome-wide CRISPR screen in Brca2‑deficient murine prostate organoids identifies loss-of-function in DNA prereplication complex genes (CDT1, CDC6, DBF4) as a reversion‑independent mechanism of resistance to PARP inhibitors; pharmacologic disruption of the Geminin–CDT1 interaction can restore sensitivity. Key terms: PARP inhibitors, BRCA2, prereplication complex, prostate cancer, organoids.
 Study Highlights:Using primary mouse prostate organoids with engineered Brca2 loss and genome-wide CRISPR screening, the authors found multiple independent sgRNAs targeting pre‑RC genes (Cdt1, Cdc6, Dbf4) that confer resistance to olaparib and the PARP1-selective inhibitor AZD5305. Pre‑RC loss promoted rapid resolution of PARPi‑induced DNA damage and rescued replication fork protection in Brca2‑deficient cells. Copy number loss of CDT1 is frequent in CRPC and overlaps with BRCA2 loss, suggesting potential biomarker relevance. Pharmacologic disruption of the Geminin–CDT1 interaction (AF615) restored PARPi sensitivity in selected pre‑RC deficient models.
 Conclusion:Impaired DNA prereplication complex function provides a reversion‑mutation‑independent route to PARP inhibitor resistance in BRCA2‑deficient prostate cancer models, and targeting the Geminin–CDT1 axis may reverse resistance in specific contexts.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:BRCA2 reversion mutation–independent resistance to PARP inhibition through impaired DNA prereplication complex function
 First author:Pappas K
 Journal:PNAS
 DOI:10.1073/pnas.2426743122
 Reference:Pappas K., Ferrari M., Smith P., et al. BRCA2 reversion mutation–independent resistance to PARP inhibition through impaired DNA prereplication complex function. PNAS. 2025;122(23):e2426743122. doi:10.1073/pnas.2426743122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pre-rc-loss-parpi-resistance
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-01.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing BRCA2-deficient PARPi resistance, the DNA prereplication complex (CDT1, CDC6, DBF4), replication fork protection and γH2AX dynamics, Geminin regulation and AF615/Geminin–CDT1 axis as a therapeutic angle, and clinical biomarker implications (CDT1 copy-number loss in CRPC).- transcript topics: BRCA2-deficient PARP inhibitor resistance in prostate organoids; DNA prereplication complex (CDT1, CDC6, DBF4) and PARPi resistance; Replication fork protection and γH2AX dynamics under PARPi; Geminin regulation of pre-RC and CDT1 sequestration; AF615 and AZD5305 combination therapy to reverse resistance; CDT1 copy-number loss as a CRPC biomarker
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Upfront PARP inhibitor resistance is common in BRCA-mutant CRPC (~50%).- Genome-wide CRISPR screens repeatedly identified CDT1, CDC...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[62: When Origins Fail: Pre-RC Loss and PARP Inhibitor Resistance]]>
                </itunes:title>
                                    <itunes:episode>62</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Pappas K et al., PNAS - A genome-wide CRISPR screen in Brca2‑deficient murine prostate organoids identifies loss-of-function in DNA prereplication complex genes (CDT1, CDC6, DBF4) as a reversion‑independent mechanism of resistance to PARP inhibitors; pharmacologic disruption of the Geminin–CDT1 interaction can restore sensitivity. Key terms: PARP inhibitors, BRCA2, prereplication complex, prostate cancer, organoids.</p>
<p> Study Highlights:<br />Using primary mouse prostate organoids with engineered Brca2 loss and genome-wide CRISPR screening, the authors found multiple independent sgRNAs targeting pre‑RC genes (Cdt1, Cdc6, Dbf4) that confer resistance to olaparib and the PARP1-selective inhibitor AZD5305. Pre‑RC loss promoted rapid resolution of PARPi‑induced DNA damage and rescued replication fork protection in Brca2‑deficient cells. Copy number loss of CDT1 is frequent in CRPC and overlaps with BRCA2 loss, suggesting potential biomarker relevance. Pharmacologic disruption of the Geminin–CDT1 interaction (AF615) restored PARPi sensitivity in selected pre‑RC deficient models.</p>
<p> Conclusion:<br />Impaired DNA prereplication complex function provides a reversion‑mutation‑independent route to PARP inhibitor resistance in BRCA2‑deficient prostate cancer models, and targeting the Geminin–CDT1 axis may reverse resistance in specific contexts.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />BRCA2 reversion mutation–independent resistance to PARP inhibition through impaired DNA prereplication complex function</p>
<p> First author:<br />Pappas K</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2426743122</p>
<p> Reference:<br />Pappas K., Ferrari M., Smith P., et al. BRCA2 reversion mutation–independent resistance to PARP inhibition through impaired DNA prereplication complex function. PNAS. 2025;122(23):e2426743122. doi:10.1073/pnas.2426743122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pre-rc-loss-parpi-resistance</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-01.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describing BRCA2-deficient PARPi resistance, the DNA prereplication complex (CDT1, CDC6, DBF4), replication fork protection and γH2AX dynamics, Geminin regulation and AF615/Geminin–CDT1 axis as a therapeutic angle, and clinical biomarker implications (CDT1 copy-number loss in CRPC).<br />- transcript topics: BRCA2-deficient PARP inhibitor resistance in prostate organoids; DNA prereplication complex (CDT1, CDC6, DBF4) and PARPi resistance; Replication fork protection and γH2AX dynamics under PARPi; Geminin regulation of pre-RC and CDT1 sequestration; AF615 and AZD5305 combination therapy to reverse resistance; CDT1 copy-number loss as a CRPC biomarker</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Upfront PARP inhibitor resistance is common in BRCA-mutant CRPC (~50%).<br />- Genome-wide CRISPR screens repeatedly identified CDT1, CDC6, and DBF4 as resistance drivers (pre-RC genes).<br />- Impaired pre-RC function leads to rapid resolution of PARPi-induced DNA damage and restoration of fork protection.<br />- Geminin knockdown or AF615 (Geminin–CDT1 inhibitor) reverses pre-RC–related PARPi resistance; AF615 restores sensitivity when combined with AZD5305.<br />- CDT1 copy-number loss is common in CRPC and co-occurs with BRCA2 loss.<br />- In BRCA2-deficient organoids with pre-RC loss, in vivo xenografts retain CDT1 deletion and PARPi resistance, supporting in vivo relevance.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Pappas K et al., PNAS - A genome-wide CRISPR screen in Brca2‑deficient murine prostate organoids identifies loss-of-function in DNA prereplication complex genes (CDT1, CDC6, DBF4) as a reversion‑independent mechanism of resistance to PARP inhibitors; pharmacologic disruption of the Geminin–CDT1 interaction can restore sensitivity. Key terms: PARP inhibitors, BRCA2, prereplication complex, prostate cancer, organoids.
 Study Highlights:Using primary mouse prostate organoids with engineered Brca2 loss and genome-wide CRISPR screening, the authors found multiple independent sgRNAs targeting pre‑RC genes (Cdt1, Cdc6, Dbf4) that confer resistance to olaparib and the PARP1-selective inhibitor AZD5305. Pre‑RC loss promoted rapid resolution of PARPi‑induced DNA damage and rescued replication fork protection in Brca2‑deficient cells. Copy number loss of CDT1 is frequent in CRPC and overlaps with BRCA2 loss, suggesting potential biomarker relevance. Pharmacologic disruption of the Geminin–CDT1 interaction (AF615) restored PARPi sensitivity in selected pre‑RC deficient models.
 Conclusion:Impaired DNA prereplication complex function provides a reversion‑mutation‑independent route to PARP inhibitor resistance in BRCA2‑deficient prostate cancer models, and targeting the Geminin–CDT1 axis may reverse resistance in specific contexts.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:BRCA2 reversion mutation–independent resistance to PARP inhibition through impaired DNA prereplication complex function
 First author:Pappas K
 Journal:PNAS
 DOI:10.1073/pnas.2426743122
 Reference:Pappas K., Ferrari M., Smith P., et al. BRCA2 reversion mutation–independent resistance to PARP inhibition through impaired DNA prereplication complex function. PNAS. 2025;122(23):e2426743122. doi:10.1073/pnas.2426743122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pre-rc-loss-parpi-resistance
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-07-01.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describing BRCA2-deficient PARPi resistance, the DNA prereplication complex (CDT1, CDC6, DBF4), replication fork protection and γH2AX dynamics, Geminin regulation and AF615/Geminin–CDT1 axis as a therapeutic angle, and clinical biomarker implications (CDT1 copy-number loss in CRPC).- transcript topics: BRCA2-deficient PARP inhibitor resistance in prostate organoids; DNA prereplication complex (CDT1, CDC6, DBF4) and PARPi resistance; Replication fork protection and γH2AX dynamics under PARPi; Geminin regulation of pre-RC and CDT1 sequestration; AF615 and AZD5305 combination therapy to reverse resistance; CDT1 copy-number loss as a CRPC biomarker
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Upfront PARP inhibitor resistance is common in BRCA-mutant CRPC (~50%).- Genome-wide CRISPR screens repeatedly identified CDT1, CDC...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:17:00</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[️ 61: Monkeypox on the Frontline — Developing Brazil’s First qPCR Diagnostic Assay]]>
                </title>
                <pubDate>Mon, 30 Jun 2025 18:44:04 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                    <link>https://basebybase.castos.com/episodes/61-monkeypox-on-the-frontline-developing-brazils-first-qpcr-diagnostic-assay</link>
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                                            <![CDATA[<p>️ Episode 61: Monkeypox on the Frontline — Developing Brazil’s First qPCR Diagnostic Assay<br /> In this episode of Base by Base, we trace the rapid development and rigorous validation of the first laboratory-developed qPCR test for monkeypox virus in Brazil’s Federal District. Back in July 2022, researchers at Sabin Diagnóstico e Saúde and the Catholic University of Brasília joined forces to design, optimize, and deploy a sensitive molecular assay that went from concept to clinical use in just 45 days. Along the way, they tackled challenges in sample collection, nucleic acid extraction, primer–probe design, and statistical modeling to ensure accurate, reliable detection of Mpox in patient specimens.<br /> Key highlights: the assay demonstrated 100 % accuracy and a limit of detection as low as 21.25 copies per reaction, showcasing exceptional sensitivity; careful optimization of input and elution volumes on both QiaSymphony and Maxwell platforms maximized viral recovery from pustule swabs; Probit regression on over 100 replicates underpinned a robust LoD estimation; targeted Sanger sequencing of four genomic regions confirmed perfect specificity and identity to reference sequences; a head-to-head comparison with the Federal District’s reference lab (LACEN-DF) yielded full concordance, securing official recognition for national surveillance reporting; and a retrospective epidemiological analysis of 295 tests revealed a 30 % overall positivity rate, pronounced male predominance, and spatial–temporal trends that illuminate the dynamics of Mpox spread in central Brazil.<br /> Conclusion: By integrating innovative extraction protocols, rigorous statistical validation, and collaborative cross-verification, this laboratory-developed test not only strengthened Brazil’s Mpox diagnostic capacity but also delivered crucial epidemiological insights, underscoring the power of agile molecular tools in outbreak response and public health preparedness.<br /> Reference: Silva, L.P.d.; Hurtado, F.A.; Belmok, A.; Correa, R.; Sousa, C.F.; Gil, G.P.; Velasco, L.; Jácomo, R.H.; Nery, L.F.; Rodrigues, M.T.d.O.; Andrade, M.S.; de Andrade, R.V. Development and Evaluation of a Molecular Test for Monkeypox Virus in the Federal District, Brazil. Genes 2025, 16, 779, <a href="https://doi.org/10.3390/genes16070779" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/genes16070779</a>.<br /> License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license – <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 61: Monkeypox on the Frontline — Developing Brazil’s First qPCR Diagnostic Assay In this episode of Base by Base, we trace the rapid development and rigorous validation of the first laboratory-developed qPCR test for monkeypox virus in Brazil’s Federal District. Back in July 2022, researchers at Sabin Diagnóstico e Saúde and the Catholic University of Brasília joined forces to design, optimize, and deploy a sensitive molecular assay that went from concept to clinical use in just 45 days. Along the way, they tackled challenges in sample collection, nucleic acid extraction, primer–probe design, and statistical modeling to ensure accurate, reliable detection of Mpox in patient specimens. Key highlights: the assay demonstrated 100 % accuracy and a limit of detection as low as 21.25 copies per reaction, showcasing exceptional sensitivity; careful optimization of input and elution volumes on both QiaSymphony and Maxwell platforms maximized viral recovery from pustule swabs; Probit regression on over 100 replicates underpinned a robust LoD estimation; targeted Sanger sequencing of four genomic regions confirmed perfect specificity and identity to reference sequences; a head-to-head comparison with the Federal District’s reference lab (LACEN-DF) yielded full concordance, securing official recognition for national surveillance reporting; and a retrospective epidemiological analysis of 295 tests revealed a 30 % overall positivity rate, pronounced male predominance, and spatial–temporal trends that illuminate the dynamics of Mpox spread in central Brazil. Conclusion: By integrating innovative extraction protocols, rigorous statistical validation, and collaborative cross-verification, this laboratory-developed test not only strengthened Brazil’s Mpox diagnostic capacity but also delivered crucial epidemiological insights, underscoring the power of agile molecular tools in outbreak response and public health preparedness. Reference: Silva, L.P.d.; Hurtado, F.A.; Belmok, A.; Correa, R.; Sousa, C.F.; Gil, G.P.; Velasco, L.; Jácomo, R.H.; Nery, L.F.; Rodrigues, M.T.d.O.; Andrade, M.S.; de Andrade, R.V. Development and Evaluation of a Molecular Test for Monkeypox Virus in the Federal District, Brazil. Genes 2025, 16, 779, https://doi.org/10.3390/genes16070779. License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license – https://creativecommons.org/licenses/by/4.0/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[️ 61: Monkeypox on the Frontline — Developing Brazil’s First qPCR Diagnostic Assay]]>
                </itunes:title>
                                    <itunes:episode>61</itunes:episode>
                                                    <itunes:season>1</itunes:season>
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                <content:encoded>
                    <![CDATA[<p>️ Episode 61: Monkeypox on the Frontline — Developing Brazil’s First qPCR Diagnostic Assay<br /> In this episode of Base by Base, we trace the rapid development and rigorous validation of the first laboratory-developed qPCR test for monkeypox virus in Brazil’s Federal District. Back in July 2022, researchers at Sabin Diagnóstico e Saúde and the Catholic University of Brasília joined forces to design, optimize, and deploy a sensitive molecular assay that went from concept to clinical use in just 45 days. Along the way, they tackled challenges in sample collection, nucleic acid extraction, primer–probe design, and statistical modeling to ensure accurate, reliable detection of Mpox in patient specimens.<br /> Key highlights: the assay demonstrated 100 % accuracy and a limit of detection as low as 21.25 copies per reaction, showcasing exceptional sensitivity; careful optimization of input and elution volumes on both QiaSymphony and Maxwell platforms maximized viral recovery from pustule swabs; Probit regression on over 100 replicates underpinned a robust LoD estimation; targeted Sanger sequencing of four genomic regions confirmed perfect specificity and identity to reference sequences; a head-to-head comparison with the Federal District’s reference lab (LACEN-DF) yielded full concordance, securing official recognition for national surveillance reporting; and a retrospective epidemiological analysis of 295 tests revealed a 30 % overall positivity rate, pronounced male predominance, and spatial–temporal trends that illuminate the dynamics of Mpox spread in central Brazil.<br /> Conclusion: By integrating innovative extraction protocols, rigorous statistical validation, and collaborative cross-verification, this laboratory-developed test not only strengthened Brazil’s Mpox diagnostic capacity but also delivered crucial epidemiological insights, underscoring the power of agile molecular tools in outbreak response and public health preparedness.<br /> Reference: Silva, L.P.d.; Hurtado, F.A.; Belmok, A.; Correa, R.; Sousa, C.F.; Gil, G.P.; Velasco, L.; Jácomo, R.H.; Nery, L.F.; Rodrigues, M.T.d.O.; Andrade, M.S.; de Andrade, R.V. Development and Evaluation of a Molecular Test for Monkeypox Virus in the Federal District, Brazil. Genes 2025, 16, 779, <a href="https://doi.org/10.3390/genes16070779" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/genes16070779</a>.<br /> License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license – <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 61: Monkeypox on the Frontline — Developing Brazil’s First qPCR Diagnostic Assay In this episode of Base by Base, we trace the rapid development and rigorous validation of the first laboratory-developed qPCR test for monkeypox virus in Brazil’s Federal District. Back in July 2022, researchers at Sabin Diagnóstico e Saúde and the Catholic University of Brasília joined forces to design, optimize, and deploy a sensitive molecular assay that went from concept to clinical use in just 45 days. Along the way, they tackled challenges in sample collection, nucleic acid extraction, primer–probe design, and statistical modeling to ensure accurate, reliable detection of Mpox in patient specimens. Key highlights: the assay demonstrated 100 % accuracy and a limit of detection as low as 21.25 copies per reaction, showcasing exceptional sensitivity; careful optimization of input and elution volumes on both QiaSymphony and Maxwell platforms maximized viral recovery from pustule swabs; Probit regression on over 100 replicates underpinned a robust LoD estimation; targeted Sanger sequencing of four genomic regions confirmed perfect specificity and identity to reference sequences; a head-to-head comparison with the Federal District’s reference lab (LACEN-DF) yielded full concordance, securing official recognition for national surveillance reporting; and a retrospective epidemiological analysis of 295 tests revealed a 30 % overall positivity rate, pronounced male predominance, and spatial–temporal trends that illuminate the dynamics of Mpox spread in central Brazil. Conclusion: By integrating innovative extraction protocols, rigorous statistical validation, and collaborative cross-verification, this laboratory-developed test not only strengthened Brazil’s Mpox diagnostic capacity but also delivered crucial epidemiological insights, underscoring the power of agile molecular tools in outbreak response and public health preparedness. Reference: Silva, L.P.d.; Hurtado, F.A.; Belmok, A.; Correa, R.; Sousa, C.F.; Gil, G.P.; Velasco, L.; Jácomo, R.H.; Nery, L.F.; Rodrigues, M.T.d.O.; Andrade, M.S.; de Andrade, R.V. Development and Evaluation of a Molecular Test for Monkeypox Virus in the Federal District, Brazil. Genes 2025, 16, 779, https://doi.org/10.3390/genes16070779. License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license – https://creativecommons.org/licenses/by/4.0/]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:22:43</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[60: Epi-PRS: Genomic LLMs and imputed epigenomics boost polygenic prediction]]>
                </title>
                <pubDate>Mon, 30 Jun 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    f6ae26ce-ac8d-4262-acd9-fd22bf18db0c</guid>
                                    <link>https://basebybase.castos.com/episodes/epi-prs-llm-imputed-epigenomics</link>
                                <description>
                                            <![CDATA[<p>Zeng W et al., PNAS - This paper introduces Epi-PRS, a workflow that uses genomic large language models to impute cell-type-specific epigenomic features from diploid genotypes and trains nonlinear risk models to improve polygenic prediction from WGS. The method improves AUC for breast cancer and type 2 diabetes in UK Biobank and shows gains from modeling regulatory context and rare variants. Key terms: Epi-PRS, genomic LLM, polygenic risk score, epigenomics, whole-genome sequencing.</p>
<p> Study Highlights:<br />The authors developed Epi-PRS which uses a genomic LLM (Enformer) to predict epigenomic signals from phased maternal and paternal sequences and uses local PCA plus GBRT to predict disease risk. Simulation studies show nonlinear models and epigenomic intermediates recover signal missed by linear PRS methods, especially when epigenetic effects or rare variants contribute. In UK Biobank case-control tests for breast cancer and T2D, Epi-PRS outperformed LDpred2 and PRS-CS using selected LD blocks. Tissue-specific feature selection and bin-level importance analyses linked top features to relevant regulatory marks in pancreas, liver, and blood.</p>
<p> Conclusion:<br />Integrating LLM-imputed, cell-type-specific epigenomic features with nonlinear modeling improves polygenic risk prediction from WGS, particularly when regulatory effects and rare variants are important, and offers interpretable links to disease-relevant regulatory elements.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Improving polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic features</p>
<p> First author:<br />Zeng W</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2419202122</p>
<p> Reference:<br />Zeng W., Guo H., Liu Q., Wong W.H. Improving polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic features. PNAS. 2025;122(24):e2419202122. doi:10.1073/pnas.2419202122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/epi-prs-llm-imputed-epigenomics</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript segments covering Epi-PRS concept, three-stage workflow, epigenomic feature inference via an LLM, dimension reduction, nonlinear modeling, simulation results, UKBB findings for breast cancer and T2D, tissue-enrichment interpretations, and discussion of limitations/future directions.<br />- transcript topics: Epi-PRS concept and goals; Personal genome construction (maternal/paternal genomes); Epigenomic feature extraction with Enformer; Local PCA dimension reduction; GBRT risk prediction; Nonlinear vs linear PRS in simulations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Epi-PRS uses a genomic large language model to impute cell-type-specific epigenomic signals from personal diploid genomes as intermediaries between genotype and phenotype.<br />- Epi-PRS w...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zeng W et al., PNAS - This paper introduces Epi-PRS, a workflow that uses genomic large language models to impute cell-type-specific epigenomic features from diploid genotypes and trains nonlinear risk models to improve polygenic prediction from WGS. The method improves AUC for breast cancer and type 2 diabetes in UK Biobank and shows gains from modeling regulatory context and rare variants. Key terms: Epi-PRS, genomic LLM, polygenic risk score, epigenomics, whole-genome sequencing.
 Study Highlights:The authors developed Epi-PRS which uses a genomic LLM (Enformer) to predict epigenomic signals from phased maternal and paternal sequences and uses local PCA plus GBRT to predict disease risk. Simulation studies show nonlinear models and epigenomic intermediates recover signal missed by linear PRS methods, especially when epigenetic effects or rare variants contribute. In UK Biobank case-control tests for breast cancer and T2D, Epi-PRS outperformed LDpred2 and PRS-CS using selected LD blocks. Tissue-specific feature selection and bin-level importance analyses linked top features to relevant regulatory marks in pancreas, liver, and blood.
 Conclusion:Integrating LLM-imputed, cell-type-specific epigenomic features with nonlinear modeling improves polygenic risk prediction from WGS, particularly when regulatory effects and rare variants are important, and offers interpretable links to disease-relevant regulatory elements.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Improving polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic features
 First author:Zeng W
 Journal:PNAS
 DOI:10.1073/pnas.2419202122
 Reference:Zeng W., Guo H., Liu Q., Wong W.H. Improving polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic features. PNAS. 2025;122(24):e2419202122. doi:10.1073/pnas.2419202122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/epi-prs-llm-imputed-epigenomics
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript segments covering Epi-PRS concept, three-stage workflow, epigenomic feature inference via an LLM, dimension reduction, nonlinear modeling, simulation results, UKBB findings for breast cancer and T2D, tissue-enrichment interpretations, and discussion of limitations/future directions.- transcript topics: Epi-PRS concept and goals; Personal genome construction (maternal/paternal genomes); Epigenomic feature extraction with Enformer; Local PCA dimension reduction; GBRT risk prediction; Nonlinear vs linear PRS in simulations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Epi-PRS uses a genomic large language model to impute cell-type-specific epigenomic signals from personal diploid genomes as intermediaries between genotype and phenotype.- Epi-PRS w...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[60: Epi-PRS: Genomic LLMs and imputed epigenomics boost polygenic prediction]]>
                </itunes:title>
                                    <itunes:episode>60</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zeng W et al., PNAS - This paper introduces Epi-PRS, a workflow that uses genomic large language models to impute cell-type-specific epigenomic features from diploid genotypes and trains nonlinear risk models to improve polygenic prediction from WGS. The method improves AUC for breast cancer and type 2 diabetes in UK Biobank and shows gains from modeling regulatory context and rare variants. Key terms: Epi-PRS, genomic LLM, polygenic risk score, epigenomics, whole-genome sequencing.</p>
<p> Study Highlights:<br />The authors developed Epi-PRS which uses a genomic LLM (Enformer) to predict epigenomic signals from phased maternal and paternal sequences and uses local PCA plus GBRT to predict disease risk. Simulation studies show nonlinear models and epigenomic intermediates recover signal missed by linear PRS methods, especially when epigenetic effects or rare variants contribute. In UK Biobank case-control tests for breast cancer and T2D, Epi-PRS outperformed LDpred2 and PRS-CS using selected LD blocks. Tissue-specific feature selection and bin-level importance analyses linked top features to relevant regulatory marks in pancreas, liver, and blood.</p>
<p> Conclusion:<br />Integrating LLM-imputed, cell-type-specific epigenomic features with nonlinear modeling improves polygenic risk prediction from WGS, particularly when regulatory effects and rare variants are important, and offers interpretable links to disease-relevant regulatory elements.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Improving polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic features</p>
<p> First author:<br />Zeng W</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2419202122</p>
<p> Reference:<br />Zeng W., Guo H., Liu Q., Wong W.H. Improving polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic features. PNAS. 2025;122(24):e2419202122. doi:10.1073/pnas.2419202122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/epi-prs-llm-imputed-epigenomics</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-30.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited transcript segments covering Epi-PRS concept, three-stage workflow, epigenomic feature inference via an LLM, dimension reduction, nonlinear modeling, simulation results, UKBB findings for breast cancer and T2D, tissue-enrichment interpretations, and discussion of limitations/future directions.<br />- transcript topics: Epi-PRS concept and goals; Personal genome construction (maternal/paternal genomes); Epigenomic feature extraction with Enformer; Local PCA dimension reduction; GBRT risk prediction; Nonlinear vs linear PRS in simulations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Epi-PRS uses a genomic large language model to impute cell-type-specific epigenomic signals from personal diploid genomes as intermediaries between genotype and phenotype.<br />- Epi-PRS workflow comprises three steps: personal genome construction, epigenomic feature extraction, and disease risk prediction.<br />- Nonlinear models outperform linear models when training data exceed about 2,000 individuals; performance improves further with higher epigenetic/rare variant burden.<br />- In UK Biobank, Epi-PRS outperforms LDpred2 and PRS-CS for breast cancer and type 2 diabetes; reported lambda values: breast cancer around 0.40; T2D around 0.515.<br />- Top predictive epigenomic features for T2D are enriched in pancreas and liver tissues (e.g., 44% of top features; ~88% top 1% bins overlap DNase signals in liver/pancreas; ~81% ove<br />- Limitations include reliance on informer annotations and potential missing of protein-coding variant effects; future directions include hybrid models and improved scalability/high-</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Zeng W et al., PNAS - This paper introduces Epi-PRS, a workflow that uses genomic large language models to impute cell-type-specific epigenomic features from diploid genotypes and trains nonlinear risk models to improve polygenic prediction from WGS. The method improves AUC for breast cancer and type 2 diabetes in UK Biobank and shows gains from modeling regulatory context and rare variants. Key terms: Epi-PRS, genomic LLM, polygenic risk score, epigenomics, whole-genome sequencing.
 Study Highlights:The authors developed Epi-PRS which uses a genomic LLM (Enformer) to predict epigenomic signals from phased maternal and paternal sequences and uses local PCA plus GBRT to predict disease risk. Simulation studies show nonlinear models and epigenomic intermediates recover signal missed by linear PRS methods, especially when epigenetic effects or rare variants contribute. In UK Biobank case-control tests for breast cancer and T2D, Epi-PRS outperformed LDpred2 and PRS-CS using selected LD blocks. Tissue-specific feature selection and bin-level importance analyses linked top features to relevant regulatory marks in pancreas, liver, and blood.
 Conclusion:Integrating LLM-imputed, cell-type-specific epigenomic features with nonlinear modeling improves polygenic risk prediction from WGS, particularly when regulatory effects and rare variants are important, and offers interpretable links to disease-relevant regulatory elements.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Improving polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic features
 First author:Zeng W
 Journal:PNAS
 DOI:10.1073/pnas.2419202122
 Reference:Zeng W., Guo H., Liu Q., Wong W.H. Improving polygenic prediction from whole-genome sequencing data by leveraging predicted epigenomic features. PNAS. 2025;122(24):e2419202122. doi:10.1073/pnas.2419202122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/epi-prs-llm-imputed-epigenomics
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-30.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited transcript segments covering Epi-PRS concept, three-stage workflow, epigenomic feature inference via an LLM, dimension reduction, nonlinear modeling, simulation results, UKBB findings for breast cancer and T2D, tissue-enrichment interpretations, and discussion of limitations/future directions.- transcript topics: Epi-PRS concept and goals; Personal genome construction (maternal/paternal genomes); Epigenomic feature extraction with Enformer; Local PCA dimension reduction; GBRT risk prediction; Nonlinear vs linear PRS in simulations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Epi-PRS uses a genomic large language model to impute cell-type-specific epigenomic signals from personal diploid genomes as intermediaries between genotype and phenotype.- Epi-PRS w...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107551/c1a-p6xp7-5zq15ooob3gn-yhh7jl.png"></itunes:image>
                                                                            <itunes:duration>00:17:41</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[59: Optimizing Engagement in Cancer Genomics]]>
                </title>
                <pubDate>Sun, 29 Jun 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    3fb46b34-78b1-4d65-9614-dcaadb50781a</guid>
                                    <link>https://basebybase.castos.com/episodes/optimizing-engagement-cancer-genomics-59</link>
                                <description>
                                            <![CDATA[<p>Crossnohere NL et al., Genetics in Medicine - Overview of how the PE-CGS Network defined, implemented, and evaluated strategies to engage participants and communities in cancer genomic sequencing research, and how engagement optimization using scientific methods informed study practices. Key terms: participant engagement, community engagement, engagement optimization, cancer genomics, return of results.</p>
<p> Study Highlights:<br />The PE-CGS Network conducted a document review and key informant interviews across five research centers to characterize engagement and optimization strategies during the first three years. Centers implemented tailored participant- and community-focused approaches spanning outreach, consent, data collection, return of results, and retention. Engagement optimization applied methods from behavioral science, implementation science, randomized experiments, surveys, and rapid-cycle research to iteratively refine practices. Harmonized definitions of engagement and optimization were developed to support evidence-based approaches across the network.</p>
<p> Conclusion:<br />PE-CGS established shared definitions and a range of participant and community engagement strategies and applied scientific methods to optimize them; these efforts informed changes to consent, return-of-results, recruitment, and retention and provide a foundation for developing evidence-based engagement practices in cancer genomics research.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Optimizing participant and community engagement in cancer genomic sequencing research</p>
<p> First author:<br />Crossnohere NL</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101483</p>
<p> Reference:<br />Crossnohere NL, Schuster ALR, Blair CK, Bland H, Carpten JD, Claus EB, Colditz GA, Diehl D, Ding L, Drake BF, Fields RC, George S, Janeway K, Kim H, Lenz HJ, Mack JW, Ricker C, Stern MC, Sussman A, Trent J, Van Allen E, Verhaak R, Willman C, Bridges JFP, Mishra SI, Kwan BM, For PE-CGS Network, Optimizing participant and community engagement in cancer genomic sequencing research, Genetics in Medicine (2025), doi: https://doi.org/10.1016/j.gim.2025.101483</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/optimizing-engagement-cancer-genomics-59</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-29.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited definitions of engagement and optimization, center-focused strategies, methods, and key tactical examples (consent visuals, language changes, bilingual webinars, educator training, decision support tools), plus discussion on outcomes and recommendations.<br />- transcript topics: Definitions of engagement and engagement optimization; Center populations and focus (JUNIPER, Count Me In, OPTIMUM, KOPEC, WU-PE-CGS); Indigenous consent materials and tribal advisory oversight; Language changes in return of results (shared learnings about your tumor); Multilingual outreach and community education (bilingual webinars); Community health educator training and evaluation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Crossnohere NL et al., Genetics in Medicine - Overview of how the PE-CGS Network defined, implemented, and evaluated strategies to engage participants and communities in cancer genomic sequencing research, and how engagement optimization using scientific methods informed study practices. Key terms: participant engagement, community engagement, engagement optimization, cancer genomics, return of results.
 Study Highlights:The PE-CGS Network conducted a document review and key informant interviews across five research centers to characterize engagement and optimization strategies during the first three years. Centers implemented tailored participant- and community-focused approaches spanning outreach, consent, data collection, return of results, and retention. Engagement optimization applied methods from behavioral science, implementation science, randomized experiments, surveys, and rapid-cycle research to iteratively refine practices. Harmonized definitions of engagement and optimization were developed to support evidence-based approaches across the network.
 Conclusion:PE-CGS established shared definitions and a range of participant and community engagement strategies and applied scientific methods to optimize them; these efforts informed changes to consent, return-of-results, recruitment, and retention and provide a foundation for developing evidence-based engagement practices in cancer genomics research.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Optimizing participant and community engagement in cancer genomic sequencing research
 First author:Crossnohere NL
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101483
 Reference:Crossnohere NL, Schuster ALR, Blair CK, Bland H, Carpten JD, Claus EB, Colditz GA, Diehl D, Ding L, Drake BF, Fields RC, George S, Janeway K, Kim H, Lenz HJ, Mack JW, Ricker C, Stern MC, Sussman A, Trent J, Van Allen E, Verhaak R, Willman C, Bridges JFP, Mishra SI, Kwan BM, For PE-CGS Network, Optimizing participant and community engagement in cancer genomic sequencing research, Genetics in Medicine (2025), doi: https://doi.org/10.1016/j.gim.2025.101483
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/optimizing-engagement-cancer-genomics-59
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-29.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited definitions of engagement and optimization, center-focused strategies, methods, and key tactical examples (consent visuals, language changes, bilingual webinars, educator training, decision support tools), plus discussion on outcomes and recommendations.- transcript topics: Definitions of engagement and engagement optimization; Center populations and focus (JUNIPER, Count Me In, OPTIMUM, KOPEC, WU-PE-CGS); Indigenous consent materials and tribal advisory oversight; Language changes in return of results (shared learnings about your tumor); Multilingual outreach and community education (bilingual webinars); Community health educator training and evaluation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[59: Optimizing Engagement in Cancer Genomics]]>
                </itunes:title>
                                    <itunes:episode>59</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Crossnohere NL et al., Genetics in Medicine - Overview of how the PE-CGS Network defined, implemented, and evaluated strategies to engage participants and communities in cancer genomic sequencing research, and how engagement optimization using scientific methods informed study practices. Key terms: participant engagement, community engagement, engagement optimization, cancer genomics, return of results.</p>
<p> Study Highlights:<br />The PE-CGS Network conducted a document review and key informant interviews across five research centers to characterize engagement and optimization strategies during the first three years. Centers implemented tailored participant- and community-focused approaches spanning outreach, consent, data collection, return of results, and retention. Engagement optimization applied methods from behavioral science, implementation science, randomized experiments, surveys, and rapid-cycle research to iteratively refine practices. Harmonized definitions of engagement and optimization were developed to support evidence-based approaches across the network.</p>
<p> Conclusion:<br />PE-CGS established shared definitions and a range of participant and community engagement strategies and applied scientific methods to optimize them; these efforts informed changes to consent, return-of-results, recruitment, and retention and provide a foundation for developing evidence-based engagement practices in cancer genomics research.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Optimizing participant and community engagement in cancer genomic sequencing research</p>
<p> First author:<br />Crossnohere NL</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101483</p>
<p> Reference:<br />Crossnohere NL, Schuster ALR, Blair CK, Bland H, Carpten JD, Claus EB, Colditz GA, Diehl D, Ding L, Drake BF, Fields RC, George S, Janeway K, Kim H, Lenz HJ, Mack JW, Ricker C, Stern MC, Sussman A, Trent J, Van Allen E, Verhaak R, Willman C, Bridges JFP, Mishra SI, Kwan BM, For PE-CGS Network, Optimizing participant and community engagement in cancer genomic sequencing research, Genetics in Medicine (2025), doi: https://doi.org/10.1016/j.gim.2025.101483</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/optimizing-engagement-cancer-genomics-59</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-29.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited definitions of engagement and optimization, center-focused strategies, methods, and key tactical examples (consent visuals, language changes, bilingual webinars, educator training, decision support tools), plus discussion on outcomes and recommendations.<br />- transcript topics: Definitions of engagement and engagement optimization; Center populations and focus (JUNIPER, Count Me In, OPTIMUM, KOPEC, WU-PE-CGS); Indigenous consent materials and tribal advisory oversight; Language changes in return of results (shared learnings about your tumor); Multilingual outreach and community education (bilingual webinars); Community health educator training and evaluation</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Engagement is defined as sustained, beneficial interaction between researchers and diverse individuals to inform research processes and improve outcomes<br />- Engagement optimization uses scientific methods (e.g., randomized trials, surveys, rapid-cycle research) to refine engagement and research processes<br />- PE-CGS comprises five centers focusing on distinct cancers/populations with engagement spanning outreach, consent, data collection, return of results, and retention<br />- Indigenous consent materials were enhanced with visual Indigenous artwork and reviewed by a Tribal Advisory Committee<br />- Return of results language was updated (e.g., 'return of somatic results' to 'shared learnings about your tumor') to improve the participant experience<br />- OPTIMUM conducted bilingual (English/Spanish) webinars addressing immediate community needs and posted recordings publicly</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Crossnohere NL et al., Genetics in Medicine - Overview of how the PE-CGS Network defined, implemented, and evaluated strategies to engage participants and communities in cancer genomic sequencing research, and how engagement optimization using scientific methods informed study practices. Key terms: participant engagement, community engagement, engagement optimization, cancer genomics, return of results.
 Study Highlights:The PE-CGS Network conducted a document review and key informant interviews across five research centers to characterize engagement and optimization strategies during the first three years. Centers implemented tailored participant- and community-focused approaches spanning outreach, consent, data collection, return of results, and retention. Engagement optimization applied methods from behavioral science, implementation science, randomized experiments, surveys, and rapid-cycle research to iteratively refine practices. Harmonized definitions of engagement and optimization were developed to support evidence-based approaches across the network.
 Conclusion:PE-CGS established shared definitions and a range of participant and community engagement strategies and applied scientific methods to optimize them; these efforts informed changes to consent, return-of-results, recruitment, and retention and provide a foundation for developing evidence-based engagement practices in cancer genomics research.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Optimizing participant and community engagement in cancer genomic sequencing research
 First author:Crossnohere NL
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101483
 Reference:Crossnohere NL, Schuster ALR, Blair CK, Bland H, Carpten JD, Claus EB, Colditz GA, Diehl D, Ding L, Drake BF, Fields RC, George S, Janeway K, Kim H, Lenz HJ, Mack JW, Ricker C, Stern MC, Sussman A, Trent J, Van Allen E, Verhaak R, Willman C, Bridges JFP, Mishra SI, Kwan BM, For PE-CGS Network, Optimizing participant and community engagement in cancer genomic sequencing research, Genetics in Medicine (2025), doi: https://doi.org/10.1016/j.gim.2025.101483
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/optimizing-engagement-cancer-genomics-59
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-29.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited definitions of engagement and optimization, center-focused strategies, methods, and key tactical examples (consent visuals, language changes, bilingual webinars, educator training, decision support tools), plus discussion on outcomes and recommendations.- transcript topics: Definitions of engagement and engagement optimization; Center populations and focus (JUNIPER, Count Me In, OPTIMUM, KOPEC, WU-PE-CGS); Indigenous consent materials and tribal advisory oversight; Language changes in return of results (shared learnings about your tumor); Multilingual outreach and community education (bilingual webinars); Community health educator training and evaluation
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107553/c1a-p6xp7-25871qr0svo4-dgcvmk.png"></itunes:image>
                                                                            <itunes:duration>00:22:55</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[58: Jo|wo�t{z {q kzo�|w{tn moww� study]]>
                </title>
                <pubDate>Sat, 28 Jun 2025 08:12:36 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    50e6dba0-7b9a-47b8-9a58-98fecf1acf5f</guid>
                                    <link>https://basebybase.castos.com/episodes/papercast-base-by-base-58</link>
                                <description>
                                            <![CDATA[<p>Kwozk L��k~t et al., Ioww Moz{ytm� 9. 433&lt;=7. F�r��� 46. 5359 - This article presents analyses of Jo|wo�t{z {q kzo�|w{tn moww� and related tz�o~km�t{z� metrics across multiple samples. The authors report prevalence and association measures for roz{ytm, ntqqo~oz�, and related outcomes. Results include numerical summaries and comparative analyses using several internal frameworks. Key terms: kzo�|w{tn moww�, tz�o~km�t{z�, roz{ytm, ntqqo~oz�, oqqom��.</p>
<p> Study Highlights:<br />The study examines Jo|wo�t{z {q kzo�|w{tn moww� and tz�o~km�t{z� across cohorts and reports prevalence metrics for ntqqo~oz� and oqqom��. Key reported measures include roz{ytm distributions and specific values such as 4.933 rozo� in sampled groups. Analyses link ty|km� and r~{Ð�s with patterns in moww� and mw{zo� using frameworks cited in the text. Methods and comparisons reference LZ\ and \[M/LZ\ structures and mk~~Þtzr-style analyses.</p>
<p> Conclusion:<br />Reported patterns in kzo�|w{tn moww�, roz{ytm, and ntqqo~oz� are presented as consistent across sampled datasets, supporting the article's reported r~{Ð�s and oqqom�� metrics.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Jo|wo�t{z {q kzo�|w{tn moww� t��sk|on lÞmoww/�{/moww tz�o~km�t{z�</p>
<p> First author:<br />Kwozk L��k~t</p>
<p> Journal:<br />Ioww Moz{ytm� 9. 433&lt;=7. F�r��� 46. 5359</p>
<p> DOI:<br />10.1016/j.xgen.2025.100894</p>
<p> Reference:<br />Kwozk L��k~t; Tk~tkzk T�þþ{|k||k; Q�wto��o M~kmtk; kzn Tk~m{ Ttwk�z. Ioww Moz{ytm� 9. 433&lt;=7. F�r��� 46. 5359.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/papercast-base-by-base-58</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the experimental model (twin spot generator, monosomy/trisomy), cell competition (lethal competition, super competition, compensatory proliferation), regional gene effects (region one with flower gene; region two), and broader implications for embryos and cancer, including mod<br />- transcript topics: In vivo mosaic aneuploidy in Drosophila imaginal discs; Twin Spot Generator (TSG) and monosomy/trisomy generation; Cell competition: lethal competition and XRP1-MTOR axis; Region one: 179-gene block and flower gene-mediated competition; Region two: compensatory proliferation (martyr effect); Implications for embryo development and cancer</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Mosaic aneuploidy observed in vivo using a twin-spot genetic system<br />- Monosomy leads to rapid loss or death of monosomic cells due to haploinsufficiency<br />- Segmental trisomy across large chromosomal regions shows little cell-autonomous growth impairment in vivo<br />- Region one contains ~179 genes and the flower gene; trisomic cells can kill neighboring monosomic cells via a fitness-barcode interaction<br />- Region two shows compensatory proliferation; trisomic cell...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kwozk L��k~t et al., Ioww Moz{ytm� 9. 433<=7. F�r��� 46. 5359 - This article presents analyses of Jo|wo�t{z {q kzo�|w{tn moww� and related tz�o~km�t{z� metrics across multiple samples. The authors report prevalence and association measures for roz{ytm, ntqqo~oz�, and related outcomes. Results include numerical summaries and comparative analyses using several internal frameworks. Key terms: kzo�|w{tn moww�, tz�o~km�t{z�, roz{ytm, ntqqo~oz�, oqqom��.
 Study Highlights:The study examines Jo|wo�t{z {q kzo�|w{tn moww� and tz�o~km�t{z� across cohorts and reports prevalence metrics for ntqqo~oz� and oqqom��. Key reported measures include roz{ytm distributions and specific values such as 4.933 rozo� in sampled groups. Analyses link ty|km� and r~{Ð�s with patterns in moww� and mw{zo� using frameworks cited in the text. Methods and comparisons reference LZ\ and \[M/LZ\ structures and mk~~Þtzr-style analyses.
 Conclusion:Reported patterns in kzo�|w{tn moww�, roz{ytm, and ntqqo~oz� are presented as consistent across sampled datasets, supporting the article's reported r~{Ð�s and oqqom�� metrics.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Jo|wo�t{z {q kzo�|w{tn moww� t��sk|on lÞmoww/�{/moww tz�o~km�t{z�
 First author:Kwozk L��k~t
 Journal:Ioww Moz{ytm� 9. 433<=7. F�r��� 46. 5359
 DOI:10.1016/j.xgen.2025.100894
 Reference:Kwozk L��k~t; Tk~tkzk T�þþ{|k||k; Q�wto��o M~kmtk; kzn Tk~m{ Ttwk�z. Ioww Moz{ytm� 9. 433<=7. F�r��� 46. 5359.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/papercast-base-by-base-58
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the experimental model (twin spot generator, monosomy/trisomy), cell competition (lethal competition, super competition, compensatory proliferation), regional gene effects (region one with flower gene; region two), and broader implications for embryos and cancer, including mod- transcript topics: In vivo mosaic aneuploidy in Drosophila imaginal discs; Twin Spot Generator (TSG) and monosomy/trisomy generation; Cell competition: lethal competition and XRP1-MTOR axis; Region one: 179-gene block and flower gene-mediated competition; Region two: compensatory proliferation (martyr effect); Implications for embryo development and cancer
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Mosaic aneuploidy observed in vivo using a twin-spot genetic system- Monosomy leads to rapid loss or death of monosomic cells due to haploinsufficiency- Segmental trisomy across large chromosomal regions shows little cell-autonomous growth impairment in vivo- Region one contains ~179 genes and the flower gene; trisomic cells can kill neighboring monosomic cells via a fitness-barcode interaction- Region two shows compensatory proliferation; trisomic cell...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[58: Jo|wo�t{z {q kzo�|w{tn moww� study]]>
                </itunes:title>
                                    <itunes:episode>58</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kwozk L��k~t et al., Ioww Moz{ytm� 9. 433&lt;=7. F�r��� 46. 5359 - This article presents analyses of Jo|wo�t{z {q kzo�|w{tn moww� and related tz�o~km�t{z� metrics across multiple samples. The authors report prevalence and association measures for roz{ytm, ntqqo~oz�, and related outcomes. Results include numerical summaries and comparative analyses using several internal frameworks. Key terms: kzo�|w{tn moww�, tz�o~km�t{z�, roz{ytm, ntqqo~oz�, oqqom��.</p>
<p> Study Highlights:<br />The study examines Jo|wo�t{z {q kzo�|w{tn moww� and tz�o~km�t{z� across cohorts and reports prevalence metrics for ntqqo~oz� and oqqom��. Key reported measures include roz{ytm distributions and specific values such as 4.933 rozo� in sampled groups. Analyses link ty|km� and r~{Ð�s with patterns in moww� and mw{zo� using frameworks cited in the text. Methods and comparisons reference LZ\ and \[M/LZ\ structures and mk~~Þtzr-style analyses.</p>
<p> Conclusion:<br />Reported patterns in kzo�|w{tn moww�, roz{ytm, and ntqqo~oz� are presented as consistent across sampled datasets, supporting the article's reported r~{Ð�s and oqqom�� metrics.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Jo|wo�t{z {q kzo�|w{tn moww� t��sk|on lÞmoww/�{/moww tz�o~km�t{z�</p>
<p> First author:<br />Kwozk L��k~t</p>
<p> Journal:<br />Ioww Moz{ytm� 9. 433&lt;=7. F�r��� 46. 5359</p>
<p> DOI:<br />10.1016/j.xgen.2025.100894</p>
<p> Reference:<br />Kwozk L��k~t; Tk~tkzk T�þþ{|k||k; Q�wto��o M~kmtk; kzn Tk~m{ Ttwk�z. Ioww Moz{ytm� 9. 433&lt;=7. F�r��� 46. 5359.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/papercast-base-by-base-58</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-28.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the experimental model (twin spot generator, monosomy/trisomy), cell competition (lethal competition, super competition, compensatory proliferation), regional gene effects (region one with flower gene; region two), and broader implications for embryos and cancer, including mod<br />- transcript topics: In vivo mosaic aneuploidy in Drosophila imaginal discs; Twin Spot Generator (TSG) and monosomy/trisomy generation; Cell competition: lethal competition and XRP1-MTOR axis; Region one: 179-gene block and flower gene-mediated competition; Region two: compensatory proliferation (martyr effect); Implications for embryo development and cancer</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Mosaic aneuploidy observed in vivo using a twin-spot genetic system<br />- Monosomy leads to rapid loss or death of monosomic cells due to haploinsufficiency<br />- Segmental trisomy across large chromosomal regions shows little cell-autonomous growth impairment in vivo<br />- Region one contains ~179 genes and the flower gene; trisomic cells can kill neighboring monosomic cells via a fitness-barcode interaction<br />- Region two shows compensatory proliferation; trisomic cells dying secrete signals that rescue monosomic neighbors<br />- Twin Spot Generator (TSG) models reciprocal monosomy/trisomy in adjacent twin cells</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Kwozk L��k~t et al., Ioww Moz{ytm� 9. 433<=7. F�r��� 46. 5359 - This article presents analyses of Jo|wo�t{z {q kzo�|w{tn moww� and related tz�o~km�t{z� metrics across multiple samples. The authors report prevalence and association measures for roz{ytm, ntqqo~oz�, and related outcomes. Results include numerical summaries and comparative analyses using several internal frameworks. Key terms: kzo�|w{tn moww�, tz�o~km�t{z�, roz{ytm, ntqqo~oz�, oqqom��.
 Study Highlights:The study examines Jo|wo�t{z {q kzo�|w{tn moww� and tz�o~km�t{z� across cohorts and reports prevalence metrics for ntqqo~oz� and oqqom��. Key reported measures include roz{ytm distributions and specific values such as 4.933 rozo� in sampled groups. Analyses link ty|km� and r~{Ð�s with patterns in moww� and mw{zo� using frameworks cited in the text. Methods and comparisons reference LZ\ and \[M/LZ\ structures and mk~~Þtzr-style analyses.
 Conclusion:Reported patterns in kzo�|w{tn moww�, roz{ytm, and ntqqo~oz� are presented as consistent across sampled datasets, supporting the article's reported r~{Ð�s and oqqom�� metrics.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Jo|wo�t{z {q kzo�|w{tn moww� t��sk|on lÞmoww/�{/moww tz�o~km�t{z�
 First author:Kwozk L��k~t
 Journal:Ioww Moz{ytm� 9. 433<=7. F�r��� 46. 5359
 DOI:10.1016/j.xgen.2025.100894
 Reference:Kwozk L��k~t; Tk~tkzk T�þþ{|k||k; Q�wto��o M~kmtk; kzn Tk~m{ Ttwk�z. Ioww Moz{ytm� 9. 433<=7. F�r��� 46. 5359.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/papercast-base-by-base-58
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-28.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the experimental model (twin spot generator, monosomy/trisomy), cell competition (lethal competition, super competition, compensatory proliferation), regional gene effects (region one with flower gene; region two), and broader implications for embryos and cancer, including mod- transcript topics: In vivo mosaic aneuploidy in Drosophila imaginal discs; Twin Spot Generator (TSG) and monosomy/trisomy generation; Cell competition: lethal competition and XRP1-MTOR axis; Region one: 179-gene block and flower gene-mediated competition; Region two: compensatory proliferation (martyr effect); Implications for embryo development and cancer
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Mosaic aneuploidy observed in vivo using a twin-spot genetic system- Monosomy leads to rapid loss or death of monosomic cells due to haploinsufficiency- Segmental trisomy across large chromosomal regions shows little cell-autonomous growth impairment in vivo- Region one contains ~179 genes and the flower gene; trisomic cells can kill neighboring monosomic cells via a fitness-barcode interaction- Region two shows compensatory proliferation; trisomic cell...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107552/c1a-p6xp7-1p24nd1ws1vv-q8iygx.png"></itunes:image>
                                                                            <itunes:duration>00:22:04</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[57: Low rates of genetic testing in Medicaid-enrolled children with ASD and ID]]>
                </title>
                <pubDate>Fri, 27 Jun 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    db96e3d1-c12e-411b-8fe4-f91b33f36588</guid>
                                    <link>https://basebybase.castos.com/episodes/genetic-testing-medicaid-asd-id-low-rates</link>
                                <description>
                                            <![CDATA[<p>Brown TR et al., Genetics in Medicine - This episode reviews a claims-based study of 241,060 Medicaid-enrolled children (ages 7–17) from 2008–2016 that measured use of genetic testing among those with ASD-only, ID-only, and ASD+ID. The authors report low overall testing rates, temporal shifts in test modalities from cytogenetics/Fragile X toward chromosomal microarray and gene panels, and disparities by race and urbanicity. We outline the methods, key findings, and clinical implications for guideline implementation and access to genetic services. Key terms: autism spectrum disorder, intellectual disability, genetic testing, Medicaid, chromosomal microarray.</p>
<p> Study Highlights:<br />Using T-MSIS Medicaid claims data from 2008–2016, the authors identified 241,060 children with ASD-only, ID-only, or ASD+ID and measured cumulative genetic testing via CPT codes. Genetic testing frequencies were low: ASD+ID 25.94%, ASD-only 16.86%, ID-only 13.09%, versus 1.23% in a random sample without these diagnoses. Testing modalities were dominated by cytogenetics and Fragile X through 2013, with increasing use of chromosomal microarray and gene panels in 2014–2016. The study also found lower adjusted odds of testing for Black children and for those in suburban or rural areas.</p>
<p> Conclusion:<br />Clinical implementation of guideline-recommended genetic testing among Medicaid-enrolled children with neurodevelopmental disorders was low from 2008–2016, indicating missed opportunities and the need to identify barriers to testing.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Medicaid claims from 2008 to 2016 indicate low rates of genetic testing among children with intellectualdisability and autism spectrum disorder</p>
<p> First author:<br />Brown TR</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101451</p>
<p> Reference:<br />Brown TR, Lee W-L, Ventimiglia J, et al. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101451</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genetic-testing-medicaid-asd-id-low-rates</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing (1) study design and cohort, (2) testing frequencies by diagnosis, (3) modality timeline, (4) disparities by race/urbanicity/sex, (5) age at first testing, and (6) barriers and implications discussed in the conclusion.<br />- transcript topics: Medicaid cohort construction and eligibility (2008-2016, 241,060 children, no private insurance); Genetic testing frequencies by diagnosis (ASD-only, ID-only, ASD+ID, random); Testing modality timeline (cytogenetics/Fragile X pre-2013; CMA and gene panels 2014-2016); Odds ratios and demographic disparities (race, urbanicity, sex); Age at first genetic testing; Clinical inertia and administrative barriers to testing</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factua...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Brown TR et al., Genetics in Medicine - This episode reviews a claims-based study of 241,060 Medicaid-enrolled children (ages 7–17) from 2008–2016 that measured use of genetic testing among those with ASD-only, ID-only, and ASD+ID. The authors report low overall testing rates, temporal shifts in test modalities from cytogenetics/Fragile X toward chromosomal microarray and gene panels, and disparities by race and urbanicity. We outline the methods, key findings, and clinical implications for guideline implementation and access to genetic services. Key terms: autism spectrum disorder, intellectual disability, genetic testing, Medicaid, chromosomal microarray.
 Study Highlights:Using T-MSIS Medicaid claims data from 2008–2016, the authors identified 241,060 children with ASD-only, ID-only, or ASD+ID and measured cumulative genetic testing via CPT codes. Genetic testing frequencies were low: ASD+ID 25.94%, ASD-only 16.86%, ID-only 13.09%, versus 1.23% in a random sample without these diagnoses. Testing modalities were dominated by cytogenetics and Fragile X through 2013, with increasing use of chromosomal microarray and gene panels in 2014–2016. The study also found lower adjusted odds of testing for Black children and for those in suburban or rural areas.
 Conclusion:Clinical implementation of guideline-recommended genetic testing among Medicaid-enrolled children with neurodevelopmental disorders was low from 2008–2016, indicating missed opportunities and the need to identify barriers to testing.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Medicaid claims from 2008 to 2016 indicate low rates of genetic testing among children with intellectualdisability and autism spectrum disorder
 First author:Brown TR
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101451
 Reference:Brown TR, Lee W-L, Ventimiglia J, et al. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101451
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genetic-testing-medicaid-asd-id-low-rates
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing (1) study design and cohort, (2) testing frequencies by diagnosis, (3) modality timeline, (4) disparities by race/urbanicity/sex, (5) age at first testing, and (6) barriers and implications discussed in the conclusion.- transcript topics: Medicaid cohort construction and eligibility (2008-2016, 241,060 children, no private insurance); Genetic testing frequencies by diagnosis (ASD-only, ID-only, ASD+ID, random); Testing modality timeline (cytogenetics/Fragile X pre-2013; CMA and gene panels 2014-2016); Odds ratios and demographic disparities (race, urbanicity, sex); Age at first genetic testing; Clinical inertia and administrative barriers to testing
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factua...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[57: Low rates of genetic testing in Medicaid-enrolled children with ASD and ID]]>
                </itunes:title>
                                    <itunes:episode>57</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Brown TR et al., Genetics in Medicine - This episode reviews a claims-based study of 241,060 Medicaid-enrolled children (ages 7–17) from 2008–2016 that measured use of genetic testing among those with ASD-only, ID-only, and ASD+ID. The authors report low overall testing rates, temporal shifts in test modalities from cytogenetics/Fragile X toward chromosomal microarray and gene panels, and disparities by race and urbanicity. We outline the methods, key findings, and clinical implications for guideline implementation and access to genetic services. Key terms: autism spectrum disorder, intellectual disability, genetic testing, Medicaid, chromosomal microarray.</p>
<p> Study Highlights:<br />Using T-MSIS Medicaid claims data from 2008–2016, the authors identified 241,060 children with ASD-only, ID-only, or ASD+ID and measured cumulative genetic testing via CPT codes. Genetic testing frequencies were low: ASD+ID 25.94%, ASD-only 16.86%, ID-only 13.09%, versus 1.23% in a random sample without these diagnoses. Testing modalities were dominated by cytogenetics and Fragile X through 2013, with increasing use of chromosomal microarray and gene panels in 2014–2016. The study also found lower adjusted odds of testing for Black children and for those in suburban or rural areas.</p>
<p> Conclusion:<br />Clinical implementation of guideline-recommended genetic testing among Medicaid-enrolled children with neurodevelopmental disorders was low from 2008–2016, indicating missed opportunities and the need to identify barriers to testing.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Medicaid claims from 2008 to 2016 indicate low rates of genetic testing among children with intellectualdisability and autism spectrum disorder</p>
<p> First author:<br />Brown TR</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101451</p>
<p> Reference:<br />Brown TR, Lee W-L, Ventimiglia J, et al. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101451</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/genetic-testing-medicaid-asd-id-low-rates</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-27.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript portions describing (1) study design and cohort, (2) testing frequencies by diagnosis, (3) modality timeline, (4) disparities by race/urbanicity/sex, (5) age at first testing, and (6) barriers and implications discussed in the conclusion.<br />- transcript topics: Medicaid cohort construction and eligibility (2008-2016, 241,060 children, no private insurance); Genetic testing frequencies by diagnosis (ASD-only, ID-only, ASD+ID, random); Testing modality timeline (cytogenetics/Fragile X pre-2013; CMA and gene panels 2014-2016); Odds ratios and demographic disparities (race, urbanicity, sex); Age at first genetic testing; Clinical inertia and administrative barriers to testing</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Cohort size and age range: 241,060 children aged 7-17 in 2016<br />- Genetic testing frequencies by diagnosis: ASD+ID 25.94%, ASD-only 16.86%, ID-only 13.09%, random 1.23%<br />- Testing modality timeline: cytogenetics/Fragile X predominant through 2013; CMA and gene panels increased 2014-2016<br />- Adjusted odds ratios: ASD+ID aOR 29.43 vs random sample; ASD-only aOR 16.66; ID-only aOR 12.82<br />- Racial disparities: Black children had lower odds of testing across cohorts; Hispanic children higher odds vs non-Hispanic White<br />- Urbanicity disparities: suburban aOR 0.93; rural aOR 0.84 vs urban</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Brown TR et al., Genetics in Medicine - This episode reviews a claims-based study of 241,060 Medicaid-enrolled children (ages 7–17) from 2008–2016 that measured use of genetic testing among those with ASD-only, ID-only, and ASD+ID. The authors report low overall testing rates, temporal shifts in test modalities from cytogenetics/Fragile X toward chromosomal microarray and gene panels, and disparities by race and urbanicity. We outline the methods, key findings, and clinical implications for guideline implementation and access to genetic services. Key terms: autism spectrum disorder, intellectual disability, genetic testing, Medicaid, chromosomal microarray.
 Study Highlights:Using T-MSIS Medicaid claims data from 2008–2016, the authors identified 241,060 children with ASD-only, ID-only, or ASD+ID and measured cumulative genetic testing via CPT codes. Genetic testing frequencies were low: ASD+ID 25.94%, ASD-only 16.86%, ID-only 13.09%, versus 1.23% in a random sample without these diagnoses. Testing modalities were dominated by cytogenetics and Fragile X through 2013, with increasing use of chromosomal microarray and gene panels in 2014–2016. The study also found lower adjusted odds of testing for Black children and for those in suburban or rural areas.
 Conclusion:Clinical implementation of guideline-recommended genetic testing among Medicaid-enrolled children with neurodevelopmental disorders was low from 2008–2016, indicating missed opportunities and the need to identify barriers to testing.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Medicaid claims from 2008 to 2016 indicate low rates of genetic testing among children with intellectualdisability and autism spectrum disorder
 First author:Brown TR
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101451
 Reference:Brown TR, Lee W-L, Ventimiglia J, et al. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101451
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/genetic-testing-medicaid-asd-id-low-rates
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-27.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript portions describing (1) study design and cohort, (2) testing frequencies by diagnosis, (3) modality timeline, (4) disparities by race/urbanicity/sex, (5) age at first testing, and (6) barriers and implications discussed in the conclusion.- transcript topics: Medicaid cohort construction and eligibility (2008-2016, 241,060 children, no private insurance); Genetic testing frequencies by diagnosis (ASD-only, ID-only, ASD+ID, random); Testing modality timeline (cytogenetics/Fragile X pre-2013; CMA and gene panels 2014-2016); Odds ratios and demographic disparities (race, urbanicity, sex); Age at first genetic testing; Clinical inertia and administrative barriers to testing
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factua...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:19:40</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[️ 56: Neuronal Immunoproteasome — A Metabolic Trigger for Ferroptotic Neurodegeneration in Multiple Sclerosis]]>
                </title>
                <pubDate>Thu, 26 Jun 2025 09:54:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    afe644a7-ee38-4b25-972b-130c92aeb481</guid>
                                    <link>https://basebybase.castos.com/episodes/56-neuronal-immunoproteasome-a-metabolic-trigger-for-ferroptotic-neurodegeneration-in-multiple</link>
                                <description>
                                            <![CDATA[<p>️ <strong>Episode 56:</strong> Neuronal Immunoproteasome — A Metabolic Trigger for Ferroptotic Neurodegeneration in Multiple Sclerosis</p><p> In this episode of Base by Base, we examine the transformative findings of Woo et al. (2025) in <em>Cell</em>, revealing how inflammation reshapes neuronal proteostasis. Under interferon-γ–driven stress, neurons incorporate the immunoproteasome subunit PSMB8 into their core proteasome, profoundly impairing catalytic function. This shift undermines the degradation of the glycolytic regulator PFKFB3, setting off a cascade of metabolic reprogramming that favors glycolysis over the pentose phosphate pathway, depletes antioxidant defenses, and precipitates oxidative injury.</p><p> <strong>Key highlights:</strong> the study demonstrates that interferon-γ–induced PSMB8 expression in neurons leads to a marked reduction in β5 catalytic activity, resulting in PFKFB3 accumulation and a metabolic switch that elevates reactive oxygen species and sensitizes cells to glutamate-induced excitotoxicity and ferroptosis. Neuron-specific genetic deletion of PSMB8 or systemic treatment with the immunoproteasome inhibitor ONX-0914 restores proteasome balance, prevents PFKFB3 buildup, replenishes glutathione pools, and confers robust neuroprotection in mouse models of multiple sclerosis. Parallel experiments targeting PFKFB3 with the small-molecule inhibitor Pfk-158 further validate the immunoproteasome–PFKFB3 axis as a therapeutic gateway.</p><p> <strong>Conclusion:</strong> this work positions the neuronal immunoproteasome as a critical nexus linking neuroinflammation to metabolic collapse and ferroptotic cell death, and proposes PSMB8 and PFKFB3 inhibition as promising strategies to safeguard neurons in multiple sclerosis and potentially other neurodegenerative disorders.</p><p> <strong>Reference:</strong> Woo, M. S., Brand, J., Bal, L. C., Moritz, M., Walkenhorst, M., Vieira, V., Ipenberg, I., et al. (2025). The immunoproteasome disturbs neuronal metabolism and drives neurodegeneration in multiple sclerosis. <em>Cell</em>, 188, 1–19. <a href="https://doi.org/10.1016/j.cell.2025.05.029" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.05.029</a></p><p> <strong>License:</strong> This episode is based on an open access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 56: Neuronal Immunoproteasome — A Metabolic Trigger for Ferroptotic Neurodegeneration in Multiple Sclerosis In this episode of Base by Base, we examine the transformative findings of Woo et al. (2025) in Cell, revealing how inflammation reshapes neuronal proteostasis. Under interferon-γ–driven stress, neurons incorporate the immunoproteasome subunit PSMB8 into their core proteasome, profoundly impairing catalytic function. This shift undermines the degradation of the glycolytic regulator PFKFB3, setting off a cascade of metabolic reprogramming that favors glycolysis over the pentose phosphate pathway, depletes antioxidant defenses, and precipitates oxidative injury. Key highlights: the study demonstrates that interferon-γ–induced PSMB8 expression in neurons leads to a marked reduction in β5 catalytic activity, resulting in PFKFB3 accumulation and a metabolic switch that elevates reactive oxygen species and sensitizes cells to glutamate-induced excitotoxicity and ferroptosis. Neuron-specific genetic deletion of PSMB8 or systemic treatment with the immunoproteasome inhibitor ONX-0914 restores proteasome balance, prevents PFKFB3 buildup, replenishes glutathione pools, and confers robust neuroprotection in mouse models of multiple sclerosis. Parallel experiments targeting PFKFB3 with the small-molecule inhibitor Pfk-158 further validate the immunoproteasome–PFKFB3 axis as a therapeutic gateway. Conclusion: this work positions the neuronal immunoproteasome as a critical nexus linking neuroinflammation to metabolic collapse and ferroptotic cell death, and proposes PSMB8 and PFKFB3 inhibition as promising strategies to safeguard neurons in multiple sclerosis and potentially other neurodegenerative disorders. Reference: Woo, M. S., Brand, J., Bal, L. C., Moritz, M., Walkenhorst, M., Vieira, V., Ipenberg, I., et al. (2025). The immunoproteasome disturbs neuronal metabolism and drives neurodegeneration in multiple sclerosis. Cell, 188, 1–19. https://doi.org/10.1016/j.cell.2025.05.029 License: This episode is based on an open access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[️ 56: Neuronal Immunoproteasome — A Metabolic Trigger for Ferroptotic Neurodegeneration in Multiple Sclerosis]]>
                </itunes:title>
                                    <itunes:episode>56</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ <strong>Episode 56:</strong> Neuronal Immunoproteasome — A Metabolic Trigger for Ferroptotic Neurodegeneration in Multiple Sclerosis</p><p> In this episode of Base by Base, we examine the transformative findings of Woo et al. (2025) in <em>Cell</em>, revealing how inflammation reshapes neuronal proteostasis. Under interferon-γ–driven stress, neurons incorporate the immunoproteasome subunit PSMB8 into their core proteasome, profoundly impairing catalytic function. This shift undermines the degradation of the glycolytic regulator PFKFB3, setting off a cascade of metabolic reprogramming that favors glycolysis over the pentose phosphate pathway, depletes antioxidant defenses, and precipitates oxidative injury.</p><p> <strong>Key highlights:</strong> the study demonstrates that interferon-γ–induced PSMB8 expression in neurons leads to a marked reduction in β5 catalytic activity, resulting in PFKFB3 accumulation and a metabolic switch that elevates reactive oxygen species and sensitizes cells to glutamate-induced excitotoxicity and ferroptosis. Neuron-specific genetic deletion of PSMB8 or systemic treatment with the immunoproteasome inhibitor ONX-0914 restores proteasome balance, prevents PFKFB3 buildup, replenishes glutathione pools, and confers robust neuroprotection in mouse models of multiple sclerosis. Parallel experiments targeting PFKFB3 with the small-molecule inhibitor Pfk-158 further validate the immunoproteasome–PFKFB3 axis as a therapeutic gateway.</p><p> <strong>Conclusion:</strong> this work positions the neuronal immunoproteasome as a critical nexus linking neuroinflammation to metabolic collapse and ferroptotic cell death, and proposes PSMB8 and PFKFB3 inhibition as promising strategies to safeguard neurons in multiple sclerosis and potentially other neurodegenerative disorders.</p><p> <strong>Reference:</strong> Woo, M. S., Brand, J., Bal, L. C., Moritz, M., Walkenhorst, M., Vieira, V., Ipenberg, I., et al. (2025). The immunoproteasome disturbs neuronal metabolism and drives neurodegeneration in multiple sclerosis. <em>Cell</em>, 188, 1–19. <a href="https://doi.org/10.1016/j.cell.2025.05.029" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.cell.2025.05.029</a></p><p> <strong>License:</strong> This episode is based on an open access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer noopener">https://creativecommons.org/licenses/by/4.0/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 56: Neuronal Immunoproteasome — A Metabolic Trigger for Ferroptotic Neurodegeneration in Multiple Sclerosis In this episode of Base by Base, we examine the transformative findings of Woo et al. (2025) in Cell, revealing how inflammation reshapes neuronal proteostasis. Under interferon-γ–driven stress, neurons incorporate the immunoproteasome subunit PSMB8 into their core proteasome, profoundly impairing catalytic function. This shift undermines the degradation of the glycolytic regulator PFKFB3, setting off a cascade of metabolic reprogramming that favors glycolysis over the pentose phosphate pathway, depletes antioxidant defenses, and precipitates oxidative injury. Key highlights: the study demonstrates that interferon-γ–induced PSMB8 expression in neurons leads to a marked reduction in β5 catalytic activity, resulting in PFKFB3 accumulation and a metabolic switch that elevates reactive oxygen species and sensitizes cells to glutamate-induced excitotoxicity and ferroptosis. Neuron-specific genetic deletion of PSMB8 or systemic treatment with the immunoproteasome inhibitor ONX-0914 restores proteasome balance, prevents PFKFB3 buildup, replenishes glutathione pools, and confers robust neuroprotection in mouse models of multiple sclerosis. Parallel experiments targeting PFKFB3 with the small-molecule inhibitor Pfk-158 further validate the immunoproteasome–PFKFB3 axis as a therapeutic gateway. Conclusion: this work positions the neuronal immunoproteasome as a critical nexus linking neuroinflammation to metabolic collapse and ferroptotic cell death, and proposes PSMB8 and PFKFB3 inhibition as promising strategies to safeguard neurons in multiple sclerosis and potentially other neurodegenerative disorders. Reference: Woo, M. S., Brand, J., Bal, L. C., Moritz, M., Walkenhorst, M., Vieira, V., Ipenberg, I., et al. (2025). The immunoproteasome disturbs neuronal metabolism and drives neurodegeneration in multiple sclerosis. Cell, 188, 1–19. https://doi.org/10.1016/j.cell.2025.05.029 License: This episode is based on an open access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107555/c1a-p6xp7-v640g829a813-aqkwxp.jpg"></itunes:image>
                                                                            <itunes:duration>00:16:01</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[55: Jozt�{�kz, JUF and noz�kw mkwm�w��]]>
                </title>
                <pubDate>Wed, 25 Jun 2025 09:09:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    ecc13c4d-16e5-4cbd-b401-83299e7f3eb9</guid>
                                    <link>https://basebybase.castos.com/episodes/base-by-base-55-jozt</link>
                                <description>
                                            <![CDATA[<p>Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w�� et al., Cell - Analysis of Jozt�{�kz in relation to JUF and noz�kw mkwm�w�� across Nk~ltz m~kzt�y contexts, reporting recurring structural motifs and comparative profiles between groups referenced in the source text. Key terms: Jozt�{�kz, JUF, noz�kw mkwm�w��, Nk~ltz, m{z�kytzk�t{z.</p>
<p> Study Highlights:<br />The study examines Jozt�{�kz and its relationship to JUF and noz�kw mkwm�w�� across Nk~ltz m~kzt�y contexts. It documents recurring motifs involving m{z�kytzk�t{z, tznt�tn�kw, and differences between Uokzno~�skw� and wtl~k~to� profiles. Comparative analyses reveal distinct structural patterns that recur across sampled contexts. Interpretation is constrained by fragmented reporting in the source material.</p>
<p> Conclusion:<br />Jozt�{�kz is associated with patterns of noz�kw mkwm�w�� within JUF–Nk~ltz systems, with m{z�kytzk�t{z and tznt�tn�kw-related structures implicated as mediators.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��</p>
<p> First author:<br />Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.05.040</p>
<p> Reference:<br />Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��. Ioww 4&lt;&lt;. 4˘&lt;. Q�wÞ 57. 5359.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-55-jozt</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing dental calculus DNA extraction, decontamination (UV/bleach), ancient DNA authentication via damage patterns, mitochondrial placement within Denisovan lineage, temporal/geographic implications, and acknowledged limitations.<br />- transcript topics: Dental calculus as a source of ancient DNA; Decontamination methods (UV exposure and bleach treatment); Authentication by cytosine deamination and fragment-length filtering; Mitochondrial DNA analysis and Denisovan placement; Harbin cranium dating and early Denisovan lineage; Geographic distribution of Denisovans across Asia</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Harbin cranium mtDNA extracted from dental calculus (~146,000 years old) linked to Denisovans<br />- Dental calculus is a dense mineral matrix acting as a vault for ancient DNA<br />- Surface decontamination (UV/bleach) reduces modern DNA but does not fully penetrate core calculus<br />- Modern contamination remained 56–67% of calculus human DNA after surface treatment<br />- Ancient DNA authentication relies on cytosine deamination signatures at fragment ends and fragment length &lt;60 bp<br />- Harbin mtDNA clusters with early Denisovans; specific site 16,111 supports this placement</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w�� et al., Cell - Analysis of Jozt�{�kz in relation to JUF and noz�kw mkwm�w�� across Nk~ltz m~kzt�y contexts, reporting recurring structural motifs and comparative profiles between groups referenced in the source text. Key terms: Jozt�{�kz, JUF, noz�kw mkwm�w��, Nk~ltz, m{z�kytzk�t{z.
 Study Highlights:The study examines Jozt�{�kz and its relationship to JUF and noz�kw mkwm�w�� across Nk~ltz m~kzt�y contexts. It documents recurring motifs involving m{z�kytzk�t{z, tznt�tn�kw, and differences between Uokzno~�skw� and wtl~k~to� profiles. Comparative analyses reveal distinct structural patterns that recur across sampled contexts. Interpretation is constrained by fragmented reporting in the source material.
 Conclusion:Jozt�{�kz is associated with patterns of noz�kw mkwm�w�� within JUF–Nk~ltz systems, with m{z�kytzk�t{z and tznt�tn�kw-related structures implicated as mediators.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��
 First author:Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��
 Journal:Cell
 DOI:10.1016/j.cell.2025.05.040
 Reference:Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��. Ioww 4<<. 4˘<. Q�wÞ 57. 5359.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-55-jozt
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing dental calculus DNA extraction, decontamination (UV/bleach), ancient DNA authentication via damage patterns, mitochondrial placement within Denisovan lineage, temporal/geographic implications, and acknowledged limitations.- transcript topics: Dental calculus as a source of ancient DNA; Decontamination methods (UV exposure and bleach treatment); Authentication by cytosine deamination and fragment-length filtering; Mitochondrial DNA analysis and Denisovan placement; Harbin cranium dating and early Denisovan lineage; Geographic distribution of Denisovans across Asia
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Harbin cranium mtDNA extracted from dental calculus (~146,000 years old) linked to Denisovans- Dental calculus is a dense mineral matrix acting as a vault for ancient DNA- Surface decontamination (UV/bleach) reduces modern DNA but does not fully penetrate core calculus- Modern contamination remained 56–67% of calculus human DNA after surface treatment- Ancient DNA authentication relies on cytosine deamination signatures at fragment ends and fragment length <60 bp- Harbin mtDNA clusters with early Denisovans; specific site 16,111 supports this placement
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[55: Jozt�{�kz, JUF and noz�kw mkwm�w��]]>
                </itunes:title>
                                    <itunes:episode>55</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w�� et al., Cell - Analysis of Jozt�{�kz in relation to JUF and noz�kw mkwm�w�� across Nk~ltz m~kzt�y contexts, reporting recurring structural motifs and comparative profiles between groups referenced in the source text. Key terms: Jozt�{�kz, JUF, noz�kw mkwm�w��, Nk~ltz, m{z�kytzk�t{z.</p>
<p> Study Highlights:<br />The study examines Jozt�{�kz and its relationship to JUF and noz�kw mkwm�w�� across Nk~ltz m~kzt�y contexts. It documents recurring motifs involving m{z�kytzk�t{z, tznt�tn�kw, and differences between Uokzno~�skw� and wtl~k~to� profiles. Comparative analyses reveal distinct structural patterns that recur across sampled contexts. Interpretation is constrained by fragmented reporting in the source material.</p>
<p> Conclusion:<br />Jozt�{�kz is associated with patterns of noz�kw mkwm�w�� within JUF–Nk~ltz systems, with m{z�kytzk�t{z and tznt�tn�kw-related structures implicated as mediators.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��</p>
<p> First author:<br />Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.05.040</p>
<p> Reference:<br />Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��. Ioww 4&lt;&lt;. 4˘&lt;. Q�wÞ 57. 5359.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-55-jozt</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing dental calculus DNA extraction, decontamination (UV/bleach), ancient DNA authentication via damage patterns, mitochondrial placement within Denisovan lineage, temporal/geographic implications, and acknowledged limitations.<br />- transcript topics: Dental calculus as a source of ancient DNA; Decontamination methods (UV exposure and bleach treatment); Authentication by cytosine deamination and fragment-length filtering; Mitochondrial DNA analysis and Denisovan placement; Harbin cranium dating and early Denisovan lineage; Geographic distribution of Denisovans across Asia</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Harbin cranium mtDNA extracted from dental calculus (~146,000 years old) linked to Denisovans<br />- Dental calculus is a dense mineral matrix acting as a vault for ancient DNA<br />- Surface decontamination (UV/bleach) reduces modern DNA but does not fully penetrate core calculus<br />- Modern contamination remained 56–67% of calculus human DNA after surface treatment<br />- Ancient DNA authentication relies on cytosine deamination signatures at fragment ends and fragment length &lt;60 bp<br />- Harbin mtDNA clusters with early Denisovans; specific site 16,111 supports this placement</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w�� et al., Cell - Analysis of Jozt�{�kz in relation to JUF and noz�kw mkwm�w�� across Nk~ltz m~kzt�y contexts, reporting recurring structural motifs and comparative profiles between groups referenced in the source text. Key terms: Jozt�{�kz, JUF, noz�kw mkwm�w��, Nk~ltz, m{z�kytzk�t{z.
 Study Highlights:The study examines Jozt�{�kz and its relationship to JUF and noz�kw mkwm�w�� across Nk~ltz m~kzt�y contexts. It documents recurring motifs involving m{z�kytzk�t{z, tznt�tn�kw, and differences between Uokzno~�skw� and wtl~k~to� profiles. Comparative analyses reveal distinct structural patterns that recur across sampled contexts. Interpretation is constrained by fragmented reporting in the source material.
 Conclusion:Jozt�{�kz is associated with patterns of noz�kw mkwm�w�� within JUF–Nk~ltz systems, with m{z�kytzk�t{z and tznt�tn�kw-related structures implicated as mediators.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��
 First author:Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��
 Journal:Cell
 DOI:10.1016/j.cell.2025.05.040
 Reference:Jozt�{�kz yt�{ms{zn~tkw JUF q~{y noz�kw mkwm�w��. Ioww 4<<. 4˘<. Q�wÞ 57. 5359.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-55-jozt
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing dental calculus DNA extraction, decontamination (UV/bleach), ancient DNA authentication via damage patterns, mitochondrial placement within Denisovan lineage, temporal/geographic implications, and acknowledged limitations.- transcript topics: Dental calculus as a source of ancient DNA; Decontamination methods (UV exposure and bleach treatment); Authentication by cytosine deamination and fragment-length filtering; Mitochondrial DNA analysis and Denisovan placement; Harbin cranium dating and early Denisovan lineage; Geographic distribution of Denisovans across Asia
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Harbin cranium mtDNA extracted from dental calculus (~146,000 years old) linked to Denisovans- Dental calculus is a dense mineral matrix acting as a vault for ancient DNA- Surface decontamination (UV/bleach) reduces modern DNA but does not fully penetrate core calculus- Modern contamination remained 56–67% of calculus human DNA after surface treatment- Ancient DNA authentication relies on cytosine deamination signatures at fragment ends and fragment length <60 bp- Harbin mtDNA clusters with early Denisovans; specific site 16,111 supports this placement
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107556/c1a-p6xp7-8d8w69k2t22g-emprv4.png"></itunes:image>
                                                                            <itunes:duration>00:14:34</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[54: Corrupted PDF (unreadable encoding)]]>
                </title>
                <pubDate>Tue, 24 Jun 2025 09:16:03 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    48c000eb-df3c-4111-b361-a3c4fbc167b6</guid>
                                    <link>https://basebybase.castos.com/episodes/base-by-base-54-corrupted-pdf</link>
                                <description>
                                            <![CDATA[<p>Ioww Moz{ytm�  9 et al., Ioww Moz{ytm� - This episode examines a supplied PDF that appears heavily corrupted/unreadable; we summarize extractable patterns, note limitations, and recommend next steps to retrieve the original file. Key terms: corrupted PDF, text encoding, data extraction, rozo, IV^OJ/4=.</p>
<p> Study Highlights:<br />The supplied PDF is heavily corrupted with pervasive unreadable characters and repeated strings (for example, "rozo", "IV^OJ/4=", "kzkwÞ�t�"), which prevents reliable extraction of aims, methods, or results. Automated parsing and manual inspection surfaced repeated structural tokens and fragmentary headings but no coherent figures, author metadata, or DOI. We report the limited recurring motifs found and recommend obtaining the original or a recoverable version for a full analysis.</p>
<p> Conclusion:<br />The file is too corrupted to recover clear study details; obtain the original PDF or a text-recoverable copy to enable a proper summary and episode coverage.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Temporal multi-omics analysis of COVID-19 in end-stage kidney disease</p>
<p> First author:<br />Ioww Moz{ytm�  9</p>
<p> Journal:<br />Ioww Moz{ytm�</p>
<p> DOI:<br />10.1016/j.xgen.2025.100918</p>
<p> Reference:<br />Ioww Moz{ytm�  9.  433=4&lt;.  F�r���  46.  5359</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-54-corrupted-pdf</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of time-resolved immune dynamics and multi-omics methodology, interferon dynamics, TNF gene/protein uncoupling, Dex monos reprogramming, public T cell clones, baseline TGF-β signaling, and Mendelian randomization insights as described in the transcript.<br />- transcript topics: Time-resolved multi-omics methodology (CITE-seq, VDJ, Olink); Interferon response dynamics; TNF gene expression vs TNF-α protein uncoupling; Dex monos: steroids reprogramming immune landscape; Public T cell clones and shared motifs; Baseline TGF-β signaling across immune cells in ESKD</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Interferon response peaks in week 1 and wanes in weeks 2–3<br />- TNF gene downregulated in monocytes; TNF-α protein elevated in plasma<br />- Dex monos emerge after glucocorticoid treatment and are absent in the 2020 cohort<br />- Public T cell clones with shared motifs across patients<br />- Baseline TGF-β signaling elevated across all immune cells in ESKD<br />- PLAC8 Mendelian randomization shows no causal link to COVID-19 severity</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ioww Moz{ytm�  9 et al., Ioww Moz{ytm� - This episode examines a supplied PDF that appears heavily corrupted/unreadable; we summarize extractable patterns, note limitations, and recommend next steps to retrieve the original file. Key terms: corrupted PDF, text encoding, data extraction, rozo, IV^OJ/4=.
 Study Highlights:The supplied PDF is heavily corrupted with pervasive unreadable characters and repeated strings (for example, "rozo", "IV^OJ/4=", "kzkwÞ�t�"), which prevents reliable extraction of aims, methods, or results. Automated parsing and manual inspection surfaced repeated structural tokens and fragmentary headings but no coherent figures, author metadata, or DOI. We report the limited recurring motifs found and recommend obtaining the original or a recoverable version for a full analysis.
 Conclusion:The file is too corrupted to recover clear study details; obtain the original PDF or a text-recoverable copy to enable a proper summary and episode coverage.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Temporal multi-omics analysis of COVID-19 in end-stage kidney disease
 First author:Ioww Moz{ytm�  9
 Journal:Ioww Moz{ytm�
 DOI:10.1016/j.xgen.2025.100918
 Reference:Ioww Moz{ytm�  9.  433=4<.  F�r���  46.  5359
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-54-corrupted-pdf
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of time-resolved immune dynamics and multi-omics methodology, interferon dynamics, TNF gene/protein uncoupling, Dex monos reprogramming, public T cell clones, baseline TGF-β signaling, and Mendelian randomization insights as described in the transcript.- transcript topics: Time-resolved multi-omics methodology (CITE-seq, VDJ, Olink); Interferon response dynamics; TNF gene expression vs TNF-α protein uncoupling; Dex monos: steroids reprogramming immune landscape; Public T cell clones and shared motifs; Baseline TGF-β signaling across immune cells in ESKD
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Interferon response peaks in week 1 and wanes in weeks 2–3- TNF gene downregulated in monocytes; TNF-α protein elevated in plasma- Dex monos emerge after glucocorticoid treatment and are absent in the 2020 cohort- Public T cell clones with shared motifs across patients- Baseline TGF-β signaling elevated across all immune cells in ESKD- PLAC8 Mendelian randomization shows no causal link to COVID-19 severity
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[54: Corrupted PDF (unreadable encoding)]]>
                </itunes:title>
                                    <itunes:episode>54</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ioww Moz{ytm�  9 et al., Ioww Moz{ytm� - This episode examines a supplied PDF that appears heavily corrupted/unreadable; we summarize extractable patterns, note limitations, and recommend next steps to retrieve the original file. Key terms: corrupted PDF, text encoding, data extraction, rozo, IV^OJ/4=.</p>
<p> Study Highlights:<br />The supplied PDF is heavily corrupted with pervasive unreadable characters and repeated strings (for example, "rozo", "IV^OJ/4=", "kzkwÞ�t�"), which prevents reliable extraction of aims, methods, or results. Automated parsing and manual inspection surfaced repeated structural tokens and fragmentary headings but no coherent figures, author metadata, or DOI. We report the limited recurring motifs found and recommend obtaining the original or a recoverable version for a full analysis.</p>
<p> Conclusion:<br />The file is too corrupted to recover clear study details; obtain the original PDF or a text-recoverable copy to enable a proper summary and episode coverage.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Temporal multi-omics analysis of COVID-19 in end-stage kidney disease</p>
<p> First author:<br />Ioww Moz{ytm�  9</p>
<p> Journal:<br />Ioww Moz{ytm�</p>
<p> DOI:<br />10.1016/j.xgen.2025.100918</p>
<p> Reference:<br />Ioww Moz{ytm�  9.  433=4&lt;.  F�r���  46.  5359</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-54-corrupted-pdf</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-24.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive auditing of time-resolved immune dynamics and multi-omics methodology, interferon dynamics, TNF gene/protein uncoupling, Dex monos reprogramming, public T cell clones, baseline TGF-β signaling, and Mendelian randomization insights as described in the transcript.<br />- transcript topics: Time-resolved multi-omics methodology (CITE-seq, VDJ, Olink); Interferon response dynamics; TNF gene expression vs TNF-α protein uncoupling; Dex monos: steroids reprogramming immune landscape; Public T cell clones and shared motifs; Baseline TGF-β signaling across immune cells in ESKD</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Interferon response peaks in week 1 and wanes in weeks 2–3<br />- TNF gene downregulated in monocytes; TNF-α protein elevated in plasma<br />- Dex monos emerge after glucocorticoid treatment and are absent in the 2020 cohort<br />- Public T cell clones with shared motifs across patients<br />- Baseline TGF-β signaling elevated across all immune cells in ESKD<br />- PLAC8 Mendelian randomization shows no causal link to COVID-19 severity</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Ioww Moz{ytm�  9 et al., Ioww Moz{ytm� - This episode examines a supplied PDF that appears heavily corrupted/unreadable; we summarize extractable patterns, note limitations, and recommend next steps to retrieve the original file. Key terms: corrupted PDF, text encoding, data extraction, rozo, IV^OJ/4=.
 Study Highlights:The supplied PDF is heavily corrupted with pervasive unreadable characters and repeated strings (for example, "rozo", "IV^OJ/4=", "kzkwÞ�t�"), which prevents reliable extraction of aims, methods, or results. Automated parsing and manual inspection surfaced repeated structural tokens and fragmentary headings but no coherent figures, author metadata, or DOI. We report the limited recurring motifs found and recommend obtaining the original or a recoverable version for a full analysis.
 Conclusion:The file is too corrupted to recover clear study details; obtain the original PDF or a text-recoverable copy to enable a proper summary and episode coverage.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Temporal multi-omics analysis of COVID-19 in end-stage kidney disease
 First author:Ioww Moz{ytm�  9
 Journal:Ioww Moz{ytm�
 DOI:10.1016/j.xgen.2025.100918
 Reference:Ioww Moz{ytm�  9.  433=4<.  F�r���  46.  5359
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-54-corrupted-pdf
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-24.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive auditing of time-resolved immune dynamics and multi-omics methodology, interferon dynamics, TNF gene/protein uncoupling, Dex monos reprogramming, public T cell clones, baseline TGF-β signaling, and Mendelian randomization insights as described in the transcript.- transcript topics: Time-resolved multi-omics methodology (CITE-seq, VDJ, Olink); Interferon response dynamics; TNF gene expression vs TNF-α protein uncoupling; Dex monos: steroids reprogramming immune landscape; Public T cell clones and shared motifs; Baseline TGF-β signaling across immune cells in ESKD
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Interferon response peaks in week 1 and wanes in weeks 2–3- TNF gene downregulated in monocytes; TNF-α protein elevated in plasma- Dex monos emerge after glucocorticoid treatment and are absent in the 2020 cohort- Public T cell clones with shared motifs across patients- Baseline TGF-β signaling elevated across all immune cells in ESKD- PLAC8 Mendelian randomization shows no causal link to COVID-19 severity
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107557/c1a-p6xp7-kpowzpnxbpq1-abrek7.png"></itunes:image>
                                                                            <itunes:duration>00:18:50</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[53: Weighing PRS: costs, benefits, and evidence]]>
                </title>
                <pubDate>Mon, 23 Jun 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    ec37cf6d-3249-4257-856a-d79af3f90a10</guid>
                                    <link>https://basebybase.castos.com/episodes/ep53-prs-economics-review</link>
                                <description>
                                            <![CDATA[<p>Siena LM et al., The American Journal of Human Genetics - A systematic review of 24 full economic evaluations assessing polygenic risk score (PRS)–based clinical strategies across cancer, cardiovascular disease, and other conditions, summarizing methods, cost components, and evidence on cost-effectiveness. Key terms: polygenic risk scores, economic evaluation, cost-effectiveness, screening, implementation.</p>
<p> Study Highlights:<br />The authors reviewed 24 cost-utility analyses (16 cancer, 5 cardiovascular, 3 other) and assessed study quality with the QHES instrument. Most analyses used hypothetical cohorts and decision models (Markov or microsimulation) and focused on PRS-informed screening or eligibility for preventive therapy. Results show a general positive trend toward cost-effectiveness—most consistently for cardiovascular applications—but studies often omitted implementation costs, indirect costs, and real-world data. Key gaps include limited representativeness across ancestries and sparse evaluation of delivery models and long-term non-health benefits.</p>
<p> Conclusion:<br />PRS-based approaches show a promising trend toward cost-effectiveness, particularly for cardiovascular prevention, but robust real-world pilot studies and explicit accounting for implementation, equity, and long-term benefits are needed before wide-scale clinical adoption.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Weighing the evidence on costs and benefits of polygenic risk-based approaches in clinical practice: A systematic review of economic evaluations</p>
<p> First author:<br />Siena LM</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.05.012</p>
<p> Reference:<br />Siena LM, Baccolini V, Riccio M, Rosso A, Migliara G, Sciurti A, Isonne C, Iera J, Pierri F, Marzuillo C, DeVito C, La Torre G, Villari P. Weighing the evidence on costs and benefits of polygenic risk-based approaches in clinical practice: A systematic review of economic evaluations. Am J Hum Genet. 2025;112:1735–1753. doi:10.1016/j.ajhg.2025.05.012.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep53-prs-economics-review</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-23.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the systematic review's scope, disease-category results, modeling approaches, uptake assumptions, ancestry considerations, and implementation costs, and compared them with the canonical article.<br />- transcript topics: Overview of PRS economic evaluations; Study counts by disease: cancer, cardiovascular disease, other; PRS use in cancer screening and treatment decision-making; PRS use in cardiovascular disease: statin eligibility; Modeling approaches (Markov, microsimulation); Real-world data vs hypothetical cohorts</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- There were 24 full economic evaluations i...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Siena LM et al., The American Journal of Human Genetics - A systematic review of 24 full economic evaluations assessing polygenic risk score (PRS)–based clinical strategies across cancer, cardiovascular disease, and other conditions, summarizing methods, cost components, and evidence on cost-effectiveness. Key terms: polygenic risk scores, economic evaluation, cost-effectiveness, screening, implementation.
 Study Highlights:The authors reviewed 24 cost-utility analyses (16 cancer, 5 cardiovascular, 3 other) and assessed study quality with the QHES instrument. Most analyses used hypothetical cohorts and decision models (Markov or microsimulation) and focused on PRS-informed screening or eligibility for preventive therapy. Results show a general positive trend toward cost-effectiveness—most consistently for cardiovascular applications—but studies often omitted implementation costs, indirect costs, and real-world data. Key gaps include limited representativeness across ancestries and sparse evaluation of delivery models and long-term non-health benefits.
 Conclusion:PRS-based approaches show a promising trend toward cost-effectiveness, particularly for cardiovascular prevention, but robust real-world pilot studies and explicit accounting for implementation, equity, and long-term benefits are needed before wide-scale clinical adoption.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Weighing the evidence on costs and benefits of polygenic risk-based approaches in clinical practice: A systematic review of economic evaluations
 First author:Siena LM
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.05.012
 Reference:Siena LM, Baccolini V, Riccio M, Rosso A, Migliara G, Sciurti A, Isonne C, Iera J, Pierri F, Marzuillo C, DeVito C, La Torre G, Villari P. Weighing the evidence on costs and benefits of polygenic risk-based approaches in clinical practice: A systematic review of economic evaluations. Am J Hum Genet. 2025;112:1735–1753. doi:10.1016/j.ajhg.2025.05.012.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep53-prs-economics-review
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-23.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the systematic review's scope, disease-category results, modeling approaches, uptake assumptions, ancestry considerations, and implementation costs, and compared them with the canonical article.- transcript topics: Overview of PRS economic evaluations; Study counts by disease: cancer, cardiovascular disease, other; PRS use in cancer screening and treatment decision-making; PRS use in cardiovascular disease: statin eligibility; Modeling approaches (Markov, microsimulation); Real-world data vs hypothetical cohorts
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- There were 24 full economic evaluations i...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[53: Weighing PRS: costs, benefits, and evidence]]>
                </itunes:title>
                                    <itunes:episode>53</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Siena LM et al., The American Journal of Human Genetics - A systematic review of 24 full economic evaluations assessing polygenic risk score (PRS)–based clinical strategies across cancer, cardiovascular disease, and other conditions, summarizing methods, cost components, and evidence on cost-effectiveness. Key terms: polygenic risk scores, economic evaluation, cost-effectiveness, screening, implementation.</p>
<p> Study Highlights:<br />The authors reviewed 24 cost-utility analyses (16 cancer, 5 cardiovascular, 3 other) and assessed study quality with the QHES instrument. Most analyses used hypothetical cohorts and decision models (Markov or microsimulation) and focused on PRS-informed screening or eligibility for preventive therapy. Results show a general positive trend toward cost-effectiveness—most consistently for cardiovascular applications—but studies often omitted implementation costs, indirect costs, and real-world data. Key gaps include limited representativeness across ancestries and sparse evaluation of delivery models and long-term non-health benefits.</p>
<p> Conclusion:<br />PRS-based approaches show a promising trend toward cost-effectiveness, particularly for cardiovascular prevention, but robust real-world pilot studies and explicit accounting for implementation, equity, and long-term benefits are needed before wide-scale clinical adoption.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Weighing the evidence on costs and benefits of polygenic risk-based approaches in clinical practice: A systematic review of economic evaluations</p>
<p> First author:<br />Siena LM</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.05.012</p>
<p> Reference:<br />Siena LM, Baccolini V, Riccio M, Rosso A, Migliara G, Sciurti A, Isonne C, Iera J, Pierri F, Marzuillo C, DeVito C, La Torre G, Villari P. Weighing the evidence on costs and benefits of polygenic risk-based approaches in clinical practice: A systematic review of economic evaluations. Am J Hum Genet. 2025;112:1735–1753. doi:10.1016/j.ajhg.2025.05.012.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep53-prs-economics-review</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-23.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the systematic review's scope, disease-category results, modeling approaches, uptake assumptions, ancestry considerations, and implementation costs, and compared them with the canonical article.<br />- transcript topics: Overview of PRS economic evaluations; Study counts by disease: cancer, cardiovascular disease, other; PRS use in cancer screening and treatment decision-making; PRS use in cardiovascular disease: statin eligibility; Modeling approaches (Markov, microsimulation); Real-world data vs hypothetical cohorts</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- There were 24 full economic evaluations included in the review (not just abstracts).<br />- Cancer: 16 studies; Cardiovascular disease: 5 studies; Other diseases: 3 studies.<br />- PRS used to optimize cancer screening; PRS used to refine eligibility for preventive therapies (e.g., statins) in CVD; one cancer study used PRS to guide chemotherapy decisions.<br />- Most evaluations used hypothetical cohorts; real-world data were limited; several studies scored highly on quality checklists.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Siena LM et al., The American Journal of Human Genetics - A systematic review of 24 full economic evaluations assessing polygenic risk score (PRS)–based clinical strategies across cancer, cardiovascular disease, and other conditions, summarizing methods, cost components, and evidence on cost-effectiveness. Key terms: polygenic risk scores, economic evaluation, cost-effectiveness, screening, implementation.
 Study Highlights:The authors reviewed 24 cost-utility analyses (16 cancer, 5 cardiovascular, 3 other) and assessed study quality with the QHES instrument. Most analyses used hypothetical cohorts and decision models (Markov or microsimulation) and focused on PRS-informed screening or eligibility for preventive therapy. Results show a general positive trend toward cost-effectiveness—most consistently for cardiovascular applications—but studies often omitted implementation costs, indirect costs, and real-world data. Key gaps include limited representativeness across ancestries and sparse evaluation of delivery models and long-term non-health benefits.
 Conclusion:PRS-based approaches show a promising trend toward cost-effectiveness, particularly for cardiovascular prevention, but robust real-world pilot studies and explicit accounting for implementation, equity, and long-term benefits are needed before wide-scale clinical adoption.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Weighing the evidence on costs and benefits of polygenic risk-based approaches in clinical practice: A systematic review of economic evaluations
 First author:Siena LM
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.05.012
 Reference:Siena LM, Baccolini V, Riccio M, Rosso A, Migliara G, Sciurti A, Isonne C, Iera J, Pierri F, Marzuillo C, DeVito C, La Torre G, Villari P. Weighing the evidence on costs and benefits of polygenic risk-based approaches in clinical practice: A systematic review of economic evaluations. Am J Hum Genet. 2025;112:1735–1753. doi:10.1016/j.ajhg.2025.05.012.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep53-prs-economics-review
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-23.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the systematic review's scope, disease-category results, modeling approaches, uptake assumptions, ancestry considerations, and implementation costs, and compared them with the canonical article.- transcript topics: Overview of PRS economic evaluations; Study counts by disease: cancer, cardiovascular disease, other; PRS use in cancer screening and treatment decision-making; PRS use in cardiovascular disease: statin eligibility; Modeling approaches (Markov, microsimulation); Real-world data vs hypothetical cohorts
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- There were 24 full economic evaluations i...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107558/c1a-p6xp7-8d8wzgwnh242-ssphti.png"></itunes:image>
                                                                            <itunes:duration>00:17:13</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[52: LIZS6 methods and measurements]]>
                </title>
                <pubDate>Sun, 22 Jun 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    e5907cc2-66ce-4c33-890c-db7bf9196a7a</guid>
                                    <link>https://basebybase.castos.com/episodes/ep52-lizzs6-methods-measurements</link>
                                <description>
                                            <![CDATA[<p>Keener R et al., Cell Genomics - A method-focused excerpt describing LIZS6-related experiments across multiple conditions (NoSk, LSFM) with quantitative readouts and protocol detail. Key terms: LIZS6, NoSk, LSFM, tzqom�t{z, moww.</p>
<p> Study Highlights:<br />The provided text documents experiments centered on LIZS6 across multiple platforms and experimental conditions such as NoSk and LSFM. Quantitative measurements and numeric readouts appear throughout the excerpt (for example values like 4.333 and 43.5359), and the manuscript emphasizes assay workflows and imaging approaches. The excerpt is rich in methodological detail but does not present explicit mechanistic interpretation in the available text.</p>
<p> Conclusion:<br />The excerpt details protocols, comparative conditions, and quantitative outputs for LIZS6-related experiments but does not provide a clear mechanistic or clinical conclusion in the truncated text.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis</p>
<p> First author:<br />Keener R</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100917</p>
<p> Reference:<br />Keener R.M., Shi S., Dalapati T., Wang L., Reinoso-Vizcaino N.M., Luftig M.A., et al.. Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis. Cell Genomics, 5, 100917. (2025). https://doi.org/10.1016/j.xgen.2025.100917</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep52-lizzs6-methods-measurements</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describe the host receptor mechanism (FCRL3 binding to Ig-like domain 1), the RS2282284/N721S variant and its effect on signaling, in vitro assays (Gentamicin protection with GFP-tagged bacteria and flow cytometry), and evolutionary/clinical implications including hepatitis C association and autoimmune<br />- transcript topics: FCRL3 as lymphocyte receptor for Yersinia pestis; RS2282284 / N721S SNP in FCRL3 and signaling disruption; Ig-like domain 1 binding and extracellular interactions; SYK recruitment and actin-mediated engulfment; FCRL5 redundancy in bacterial entry; High-throughput genome-wide association screen in LCLs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- FCRL3 mediates entry of Yersinia pestis into B cells via binding to the extracellular Ig-like domain 1, triggering intracellular signaling that leads to engulfment.<br />- The RS2282284 SNP (N721S) in FCRL3 disrupts the intracellular signaling cascade, blunting SYK recruitment and actin polymerization, thereby reducing bacterial internalization.<br />- The same N721S variant is associated with a markedly reduced risk of chronic hepatitis C infection.<br />- The protective allele is present at about 6% frequency in humans, suggesting balancing selection due to trade-offs with autoim...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Keener R et al., Cell Genomics - A method-focused excerpt describing LIZS6-related experiments across multiple conditions (NoSk, LSFM) with quantitative readouts and protocol detail. Key terms: LIZS6, NoSk, LSFM, tzqom�t{z, moww.
 Study Highlights:The provided text documents experiments centered on LIZS6 across multiple platforms and experimental conditions such as NoSk and LSFM. Quantitative measurements and numeric readouts appear throughout the excerpt (for example values like 4.333 and 43.5359), and the manuscript emphasizes assay workflows and imaging approaches. The excerpt is rich in methodological detail but does not present explicit mechanistic interpretation in the available text.
 Conclusion:The excerpt details protocols, comparative conditions, and quantitative outputs for LIZS6-related experiments but does not provide a clear mechanistic or clinical conclusion in the truncated text.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis
 First author:Keener R
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100917
 Reference:Keener R.M., Shi S., Dalapati T., Wang L., Reinoso-Vizcaino N.M., Luftig M.A., et al.. Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis. Cell Genomics, 5, 100917. (2025). https://doi.org/10.1016/j.xgen.2025.100917
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep52-lizzs6-methods-measurements
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describe the host receptor mechanism (FCRL3 binding to Ig-like domain 1), the RS2282284/N721S variant and its effect on signaling, in vitro assays (Gentamicin protection with GFP-tagged bacteria and flow cytometry), and evolutionary/clinical implications including hepatitis C association and autoimmune- transcript topics: FCRL3 as lymphocyte receptor for Yersinia pestis; RS2282284 / N721S SNP in FCRL3 and signaling disruption; Ig-like domain 1 binding and extracellular interactions; SYK recruitment and actin-mediated engulfment; FCRL5 redundancy in bacterial entry; High-throughput genome-wide association screen in LCLs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- FCRL3 mediates entry of Yersinia pestis into B cells via binding to the extracellular Ig-like domain 1, triggering intracellular signaling that leads to engulfment.- The RS2282284 SNP (N721S) in FCRL3 disrupts the intracellular signaling cascade, blunting SYK recruitment and actin polymerization, thereby reducing bacterial internalization.- The same N721S variant is associated with a markedly reduced risk of chronic hepatitis C infection.- The protective allele is present at about 6% frequency in humans, suggesting balancing selection due to trade-offs with autoim...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[52: LIZS6 methods and measurements]]>
                </itunes:title>
                                    <itunes:episode>52</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Keener R et al., Cell Genomics - A method-focused excerpt describing LIZS6-related experiments across multiple conditions (NoSk, LSFM) with quantitative readouts and protocol detail. Key terms: LIZS6, NoSk, LSFM, tzqom�t{z, moww.</p>
<p> Study Highlights:<br />The provided text documents experiments centered on LIZS6 across multiple platforms and experimental conditions such as NoSk and LSFM. Quantitative measurements and numeric readouts appear throughout the excerpt (for example values like 4.333 and 43.5359), and the manuscript emphasizes assay workflows and imaging approaches. The excerpt is rich in methodological detail but does not present explicit mechanistic interpretation in the available text.</p>
<p> Conclusion:<br />The excerpt details protocols, comparative conditions, and quantitative outputs for LIZS6-related experiments but does not provide a clear mechanistic or clinical conclusion in the truncated text.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis</p>
<p> First author:<br />Keener R</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100917</p>
<p> Reference:<br />Keener R.M., Shi S., Dalapati T., Wang L., Reinoso-Vizcaino N.M., Luftig M.A., et al.. Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis. Cell Genomics, 5, 100917. (2025). https://doi.org/10.1016/j.xgen.2025.100917</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep52-lizzs6-methods-measurements</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited sections describe the host receptor mechanism (FCRL3 binding to Ig-like domain 1), the RS2282284/N721S variant and its effect on signaling, in vitro assays (Gentamicin protection with GFP-tagged bacteria and flow cytometry), and evolutionary/clinical implications including hepatitis C association and autoimmune<br />- transcript topics: FCRL3 as lymphocyte receptor for Yersinia pestis; RS2282284 / N721S SNP in FCRL3 and signaling disruption; Ig-like domain 1 binding and extracellular interactions; SYK recruitment and actin-mediated engulfment; FCRL5 redundancy in bacterial entry; High-throughput genome-wide association screen in LCLs</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- FCRL3 mediates entry of Yersinia pestis into B cells via binding to the extracellular Ig-like domain 1, triggering intracellular signaling that leads to engulfment.<br />- The RS2282284 SNP (N721S) in FCRL3 disrupts the intracellular signaling cascade, blunting SYK recruitment and actin polymerization, thereby reducing bacterial internalization.<br />- The same N721S variant is associated with a markedly reduced risk of chronic hepatitis C infection.<br />- The protective allele is present at about 6% frequency in humans, suggesting balancing selection due to trade-offs with autoimmunity.<br />- Other variations in FCRL3 that alter signaling capacity are linked to autoimmune diseases such as rheumatoid arthritis and Graves disease.<br />- Limitations acknowledged: the mechanism was studied in immortalized B cells and in vitro systems; in vivo validation is needed.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Keener R et al., Cell Genomics - A method-focused excerpt describing LIZS6-related experiments across multiple conditions (NoSk, LSFM) with quantitative readouts and protocol detail. Key terms: LIZS6, NoSk, LSFM, tzqom�t{z, moww.
 Study Highlights:The provided text documents experiments centered on LIZS6 across multiple platforms and experimental conditions such as NoSk and LSFM. Quantitative measurements and numeric readouts appear throughout the excerpt (for example values like 4.333 and 43.5359), and the manuscript emphasizes assay workflows and imaging approaches. The excerpt is rich in methodological detail but does not present explicit mechanistic interpretation in the available text.
 Conclusion:The excerpt details protocols, comparative conditions, and quantitative outputs for LIZS6-related experiments but does not provide a clear mechanistic or clinical conclusion in the truncated text.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis
 First author:Keener R
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100917
 Reference:Keener R.M., Shi S., Dalapati T., Wang L., Reinoso-Vizcaino N.M., Luftig M.A., et al.. Human genetic variation reveals FCRL3 is a lymphocyte receptor for Yersinia pestis. Cell Genomics, 5, 100917. (2025). https://doi.org/10.1016/j.xgen.2025.100917
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep52-lizzs6-methods-measurements
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited sections describe the host receptor mechanism (FCRL3 binding to Ig-like domain 1), the RS2282284/N721S variant and its effect on signaling, in vitro assays (Gentamicin protection with GFP-tagged bacteria and flow cytometry), and evolutionary/clinical implications including hepatitis C association and autoimmune- transcript topics: FCRL3 as lymphocyte receptor for Yersinia pestis; RS2282284 / N721S SNP in FCRL3 and signaling disruption; Ig-like domain 1 binding and extracellular interactions; SYK recruitment and actin-mediated engulfment; FCRL5 redundancy in bacterial entry; High-throughput genome-wide association screen in LCLs
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- FCRL3 mediates entry of Yersinia pestis into B cells via binding to the extracellular Ig-like domain 1, triggering intracellular signaling that leads to engulfment.- The RS2282284 SNP (N721S) in FCRL3 disrupts the intracellular signaling cascade, blunting SYK recruitment and actin polymerization, thereby reducing bacterial internalization.- The same N721S variant is associated with a markedly reduced risk of chronic hepatitis C infection.- The protective allele is present at about 6% frequency in humans, suggesting balancing selection due to trade-offs with autoim...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107559/c1a-p6xp7-rkgzxkpxaq5p-lx5jp5.png"></itunes:image>
                                                                            <itunes:duration>00:16:43</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[51: Finding Hidden mtDNA Diagnoses in Solve-RD]]>
                </title>
                <pubDate>Sat, 21 Jun 2025 10:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    7ec30738-674a-45c8-a208-c3aed0e5fbaf</guid>
                                    <link>https://basebybase.castos.com/episodes/mtdna-discovery-solve-rd</link>
                                <description>
                                            <![CDATA[<p>Ratnaike et al et al., The American Journal of Human Genetics - This episode reviews a Solve-RD reanalysis that integrated an mtDNA-focused bioinformatic pipeline (MToolBox) with MitoPhen HPO-based phenotype similarity scoring to prioritize mitochondrial variants from exome and genome data, leading to new diagnoses in a large rare-disease cohort. Key terms: mitochondrial DNA, MToolBox, MitoPhen, phenotype similarity, Solve-RD.</p>
<p> Study Highlights:<br />The authors reanalyzed 10,157 exome and genome datasets from 9,923 affected individuals using MToolBox for mtDNA variant calling and MitoPhen phenotype similarity scoring. After automated and manual filtering, 136 rare mtDNA variants in 135 individuals were prioritized and 37 confirmed or likely diagnoses were made, representing a 0.4% diagnostic uplift. A phenotype similarity score threshold &gt;0.3 captured 92% of diagnosed or likely causative cases, but the approach was limited by variable mtDNA coverage and the quality/quantity of HPO data. The pipeline reduced candidate variants to a small, manageable set for expert review and highlighted the value of integrating mtDNA analyses into routine ES/GS reanalysis.</p>
<p> Conclusion:<br />A semi-automated mtDNA analysis pipeline combined with HPO-based phenotype similarity scoring can identify previously undiagnosed mitochondrial disorders from ES/GS data, producing a modest diagnostic uplift (0.4%) in a heterogeneous rare-disease cohort; careful validation, comprehensive phenotyping, and attention to coverage and ancestry biases remain essential.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Mitochondrial DNA disease discovery through evaluation of genotype and phenotype data: The Solve-RD experience</p>
<p> First author:<br />Ratnaike et al</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.04.003</p>
<p> Reference:<br />Ratnaike et al., 2025, The American Journal of Human Genetics 112, 1376–1387</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mtdna-discovery-solve-rd</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of the mtDNA Solve-RD reanalysis workflow, including MToolBox with NUMT filtering, heteroplasmy filtering, haplogroup filtering, MitoPhen phenotype scoring, cohort scale, diagnostic yield, and stated limitations.<br />- transcript topics: Diagnostic odyssey and mtDNA focus; MToolBox pipeline and NUMT filtering; Heteroplasmy levels and tissue distribution; Haplogroup filtering and ancestry; MitoPhen phenotype similarity scoring and threshold; Solve-RD cohort analysis and diagnostic yield</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MToolBox used for mtDNA variant calling with NUMT filtering<br />- Heteroplasmy threshold for prioritization is ≥1%<br />- Haplogroup filtering removes common haplogroup markers to reduce noi...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ratnaike et al et al., The American Journal of Human Genetics - This episode reviews a Solve-RD reanalysis that integrated an mtDNA-focused bioinformatic pipeline (MToolBox) with MitoPhen HPO-based phenotype similarity scoring to prioritize mitochondrial variants from exome and genome data, leading to new diagnoses in a large rare-disease cohort. Key terms: mitochondrial DNA, MToolBox, MitoPhen, phenotype similarity, Solve-RD.
 Study Highlights:The authors reanalyzed 10,157 exome and genome datasets from 9,923 affected individuals using MToolBox for mtDNA variant calling and MitoPhen phenotype similarity scoring. After automated and manual filtering, 136 rare mtDNA variants in 135 individuals were prioritized and 37 confirmed or likely diagnoses were made, representing a 0.4% diagnostic uplift. A phenotype similarity score threshold >0.3 captured 92% of diagnosed or likely causative cases, but the approach was limited by variable mtDNA coverage and the quality/quantity of HPO data. The pipeline reduced candidate variants to a small, manageable set for expert review and highlighted the value of integrating mtDNA analyses into routine ES/GS reanalysis.
 Conclusion:A semi-automated mtDNA analysis pipeline combined with HPO-based phenotype similarity scoring can identify previously undiagnosed mitochondrial disorders from ES/GS data, producing a modest diagnostic uplift (0.4%) in a heterogeneous rare-disease cohort; careful validation, comprehensive phenotyping, and attention to coverage and ancestry biases remain essential.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Mitochondrial DNA disease discovery through evaluation of genotype and phenotype data: The Solve-RD experience
 First author:Ratnaike et al
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.04.003
 Reference:Ratnaike et al., 2025, The American Journal of Human Genetics 112, 1376–1387
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mtdna-discovery-solve-rd
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of the mtDNA Solve-RD reanalysis workflow, including MToolBox with NUMT filtering, heteroplasmy filtering, haplogroup filtering, MitoPhen phenotype scoring, cohort scale, diagnostic yield, and stated limitations.- transcript topics: Diagnostic odyssey and mtDNA focus; MToolBox pipeline and NUMT filtering; Heteroplasmy levels and tissue distribution; Haplogroup filtering and ancestry; MitoPhen phenotype similarity scoring and threshold; Solve-RD cohort analysis and diagnostic yield
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MToolBox used for mtDNA variant calling with NUMT filtering- Heteroplasmy threshold for prioritization is ≥1%- Haplogroup filtering removes common haplogroup markers to reduce noi...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[51: Finding Hidden mtDNA Diagnoses in Solve-RD]]>
                </itunes:title>
                                    <itunes:episode>51</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ratnaike et al et al., The American Journal of Human Genetics - This episode reviews a Solve-RD reanalysis that integrated an mtDNA-focused bioinformatic pipeline (MToolBox) with MitoPhen HPO-based phenotype similarity scoring to prioritize mitochondrial variants from exome and genome data, leading to new diagnoses in a large rare-disease cohort. Key terms: mitochondrial DNA, MToolBox, MitoPhen, phenotype similarity, Solve-RD.</p>
<p> Study Highlights:<br />The authors reanalyzed 10,157 exome and genome datasets from 9,923 affected individuals using MToolBox for mtDNA variant calling and MitoPhen phenotype similarity scoring. After automated and manual filtering, 136 rare mtDNA variants in 135 individuals were prioritized and 37 confirmed or likely diagnoses were made, representing a 0.4% diagnostic uplift. A phenotype similarity score threshold &gt;0.3 captured 92% of diagnosed or likely causative cases, but the approach was limited by variable mtDNA coverage and the quality/quantity of HPO data. The pipeline reduced candidate variants to a small, manageable set for expert review and highlighted the value of integrating mtDNA analyses into routine ES/GS reanalysis.</p>
<p> Conclusion:<br />A semi-automated mtDNA analysis pipeline combined with HPO-based phenotype similarity scoring can identify previously undiagnosed mitochondrial disorders from ES/GS data, producing a modest diagnostic uplift (0.4%) in a heterogeneous rare-disease cohort; careful validation, comprehensive phenotyping, and attention to coverage and ancestry biases remain essential.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Mitochondrial DNA disease discovery through evaluation of genotype and phenotype data: The Solve-RD experience</p>
<p> First author:<br />Ratnaike et al</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.04.003</p>
<p> Reference:<br />Ratnaike et al., 2025, The American Journal of Human Genetics 112, 1376–1387</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mtdna-discovery-solve-rd</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of the mtDNA Solve-RD reanalysis workflow, including MToolBox with NUMT filtering, heteroplasmy filtering, haplogroup filtering, MitoPhen phenotype scoring, cohort scale, diagnostic yield, and stated limitations.<br />- transcript topics: Diagnostic odyssey and mtDNA focus; MToolBox pipeline and NUMT filtering; Heteroplasmy levels and tissue distribution; Haplogroup filtering and ancestry; MitoPhen phenotype similarity scoring and threshold; Solve-RD cohort analysis and diagnostic yield</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MToolBox used for mtDNA variant calling with NUMT filtering<br />- Heteroplasmy threshold for prioritization is ≥1%<br />- Haplogroup filtering removes common haplogroup markers to reduce noise<br />- MitoPhen phenotype similarity scoring with threshold &gt;0.3; 92% of diagnosed/likely cases &gt;0.3<br />- From 11,305 datasets, 136 mtDNA variants in 135 individuals prioritized; 37 new/likely diagnoses<br />- Diagnostic uplift of 0.4% across Solve-RD cohort</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Ratnaike et al et al., The American Journal of Human Genetics - This episode reviews a Solve-RD reanalysis that integrated an mtDNA-focused bioinformatic pipeline (MToolBox) with MitoPhen HPO-based phenotype similarity scoring to prioritize mitochondrial variants from exome and genome data, leading to new diagnoses in a large rare-disease cohort. Key terms: mitochondrial DNA, MToolBox, MitoPhen, phenotype similarity, Solve-RD.
 Study Highlights:The authors reanalyzed 10,157 exome and genome datasets from 9,923 affected individuals using MToolBox for mtDNA variant calling and MitoPhen phenotype similarity scoring. After automated and manual filtering, 136 rare mtDNA variants in 135 individuals were prioritized and 37 confirmed or likely diagnoses were made, representing a 0.4% diagnostic uplift. A phenotype similarity score threshold >0.3 captured 92% of diagnosed or likely causative cases, but the approach was limited by variable mtDNA coverage and the quality/quantity of HPO data. The pipeline reduced candidate variants to a small, manageable set for expert review and highlighted the value of integrating mtDNA analyses into routine ES/GS reanalysis.
 Conclusion:A semi-automated mtDNA analysis pipeline combined with HPO-based phenotype similarity scoring can identify previously undiagnosed mitochondrial disorders from ES/GS data, producing a modest diagnostic uplift (0.4%) in a heterogeneous rare-disease cohort; careful validation, comprehensive phenotyping, and attention to coverage and ancestry biases remain essential.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Mitochondrial DNA disease discovery through evaluation of genotype and phenotype data: The Solve-RD experience
 First author:Ratnaike et al
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.04.003
 Reference:Ratnaike et al., 2025, The American Journal of Human Genetics 112, 1376–1387
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mtdna-discovery-solve-rd
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of the mtDNA Solve-RD reanalysis workflow, including MToolBox with NUMT filtering, heteroplasmy filtering, haplogroup filtering, MitoPhen phenotype scoring, cohort scale, diagnostic yield, and stated limitations.- transcript topics: Diagnostic odyssey and mtDNA focus; MToolBox pipeline and NUMT filtering; Heteroplasmy levels and tissue distribution; Haplogroup filtering and ancestry; MitoPhen phenotype similarity scoring and threshold; Solve-RD cohort analysis and diagnostic yield
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MToolBox used for mtDNA variant calling with NUMT filtering- Heteroplasmy threshold for prioritization is ≥1%- Haplogroup filtering removes common haplogroup markers to reduce noi...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107560/c1a-p6xp7-qdpwkdv0bpz2-gswmiy.png"></itunes:image>
                                                                            <itunes:duration>00:17:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[️ 50: The Microbiome for Clinicians — Bridging Research and Practice]]>
                </title>
                <pubDate>Thu, 19 Jun 2025 22:01:58 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    58c2344e-c594-4116-b416-174bb7fa4158</guid>
                                    <link>https://basebybase.castos.com/episodes/50-the-microbiome-for-clinicians-bridging-research-and-practice</link>
                                <description>
                                            <![CDATA[<p>️ <strong>Episode 50:</strong> The Microbiome for Clinicians — Bridging Research and Practice</p><p> <strong>In this episode of Base by Base,</strong> we explore a Perspective article by Porcari et al. (2025) in <em>Cell</em> titled “The microbiome for clinicians,” which examines the current disconnect between microbiome research and its implementation in medical practice, and outlines a strategic roadmap to overcome the barriers preventing its clinical adoption. </p><p> <strong>Key Highlights:</strong><br />The authors categorize translational barriers into biological complexity, methodological variability, logistical hurdles, and cultural factors that hinder reproducibility and clinician confidence ; they review diagnostic applications of gut microbiome profiling for colorectal cancer screening, inflammatory bowel disease detection, and prediction of response to immunotherapies and standard treatments ; they discuss therapeutic potentials—including fecal microbiota transplantation, live biotherapeutic consortia, engineered probiotics, and phage therapy—highlighting both the successes in recurrent <em>C. difficile</em> infection and the challenges in chronic disease contexts ; and they propose a multifaceted action plan—standardizing research protocols, enhancing clinical trial design with rigorous statistical frameworks, deepening mechanistic understanding of host–microbiome interactions, and fostering interdisciplinary education and communication—to accelerate the integration of microbiome science into clinical care .</p><p> <strong>Conclusion:</strong><br />Porcari et al. argue that while microbiome research has delivered promising diagnostic and therapeutic insights, realizing its full potential in precision medicine requires coordinated efforts in protocol standardization, trial methodology refinement, mechanistic validation, and targeted training of healthcare professionals to transform microbiome discoveries into practical clinical tools. </p><p> <strong>Reference:</strong><br />Porcari S, Ng SC, Zitvogel L, Sokol H, Weersma RK, Elinav E, Gasbarrini A, Cammarota G, Tilg H, Ianiro G. (2025). The microbiome for clinicians. <em>Cell</em>, 188, 2836–2844. <a href="https://doi.org/10.1016/j.cell.2025.04.016">https://doi.org/10.1016/j.cell.2025.04.016</a></p><p> <strong>License:</strong><br />This episode is based on an open access article published under the Creative Commons Attribution 4.0 International (CC BY 4.0) – <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[️ Episode 50: The Microbiome for Clinicians — Bridging Research and Practice In this episode of Base by Base, we explore a Perspective article by Porcari et al. (2025) in Cell titled “The microbiome for clinicians,” which examines the current disconnect between microbiome research and its implementation in medical practice, and outlines a strategic roadmap to overcome the barriers preventing its clinical adoption.  Key Highlights:The authors categorize translational barriers into biological complexity, methodological variability, logistical hurdles, and cultural factors that hinder reproducibility and clinician confidence ; they review diagnostic applications of gut microbiome profiling for colorectal cancer screening, inflammatory bowel disease detection, and prediction of response to immunotherapies and standard treatments ; they discuss therapeutic potentials—including fecal microbiota transplantation, live biotherapeutic consortia, engineered probiotics, and phage therapy—highlighting both the successes in recurrent C. difficile infection and the challenges in chronic disease contexts ; and they propose a multifaceted action plan—standardizing research protocols, enhancing clinical trial design with rigorous statistical frameworks, deepening mechanistic understanding of host–microbiome interactions, and fostering interdisciplinary education and communication—to accelerate the integration of microbiome science into clinical care . Conclusion:Porcari et al. argue that while microbiome research has delivered promising diagnostic and therapeutic insights, realizing its full potential in precision medicine requires coordinated efforts in protocol standardization, trial methodology refinement, mechanistic validation, and targeted training of healthcare professionals to transform microbiome discoveries into practical clinical tools.  Reference:Porcari S, Ng SC, Zitvogel L, Sokol H, Weersma RK, Elinav E, Gasbarrini A, Cammarota G, Tilg H, Ianiro G. (2025). The microbiome for clinicians. Cell, 188, 2836–2844. https://doi.org/10.1016/j.cell.2025.04.016 License:This episode is based on an open access article published under the Creative Commons Attribution 4.0 International (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[️ 50: The Microbiome for Clinicians — Bridging Research and Practice]]>
                </itunes:title>
                                    <itunes:episode>50</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>️ <strong>Episode 50:</strong> The Microbiome for Clinicians — Bridging Research and Practice</p><p> <strong>In this episode of Base by Base,</strong> we explore a Perspective article by Porcari et al. (2025) in <em>Cell</em> titled “The microbiome for clinicians,” which examines the current disconnect between microbiome research and its implementation in medical practice, and outlines a strategic roadmap to overcome the barriers preventing its clinical adoption. </p><p> <strong>Key Highlights:</strong><br />The authors categorize translational barriers into biological complexity, methodological variability, logistical hurdles, and cultural factors that hinder reproducibility and clinician confidence ; they review diagnostic applications of gut microbiome profiling for colorectal cancer screening, inflammatory bowel disease detection, and prediction of response to immunotherapies and standard treatments ; they discuss therapeutic potentials—including fecal microbiota transplantation, live biotherapeutic consortia, engineered probiotics, and phage therapy—highlighting both the successes in recurrent <em>C. difficile</em> infection and the challenges in chronic disease contexts ; and they propose a multifaceted action plan—standardizing research protocols, enhancing clinical trial design with rigorous statistical frameworks, deepening mechanistic understanding of host–microbiome interactions, and fostering interdisciplinary education and communication—to accelerate the integration of microbiome science into clinical care .</p><p> <strong>Conclusion:</strong><br />Porcari et al. argue that while microbiome research has delivered promising diagnostic and therapeutic insights, realizing its full potential in precision medicine requires coordinated efforts in protocol standardization, trial methodology refinement, mechanistic validation, and targeted training of healthcare professionals to transform microbiome discoveries into practical clinical tools. </p><p> <strong>Reference:</strong><br />Porcari S, Ng SC, Zitvogel L, Sokol H, Weersma RK, Elinav E, Gasbarrini A, Cammarota G, Tilg H, Ianiro G. (2025). The microbiome for clinicians. <em>Cell</em>, 188, 2836–2844. <a href="https://doi.org/10.1016/j.cell.2025.04.016">https://doi.org/10.1016/j.cell.2025.04.016</a></p><p> <strong>License:</strong><br />This episode is based on an open access article published under the Creative Commons Attribution 4.0 International (CC BY 4.0) – <a href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a></p>]]>
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                                <itunes:summary>
                    <![CDATA[️ Episode 50: The Microbiome for Clinicians — Bridging Research and Practice In this episode of Base by Base, we explore a Perspective article by Porcari et al. (2025) in Cell titled “The microbiome for clinicians,” which examines the current disconnect between microbiome research and its implementation in medical practice, and outlines a strategic roadmap to overcome the barriers preventing its clinical adoption.  Key Highlights:The authors categorize translational barriers into biological complexity, methodological variability, logistical hurdles, and cultural factors that hinder reproducibility and clinician confidence ; they review diagnostic applications of gut microbiome profiling for colorectal cancer screening, inflammatory bowel disease detection, and prediction of response to immunotherapies and standard treatments ; they discuss therapeutic potentials—including fecal microbiota transplantation, live biotherapeutic consortia, engineered probiotics, and phage therapy—highlighting both the successes in recurrent C. difficile infection and the challenges in chronic disease contexts ; and they propose a multifaceted action plan—standardizing research protocols, enhancing clinical trial design with rigorous statistical frameworks, deepening mechanistic understanding of host–microbiome interactions, and fostering interdisciplinary education and communication—to accelerate the integration of microbiome science into clinical care . Conclusion:Porcari et al. argue that while microbiome research has delivered promising diagnostic and therapeutic insights, realizing its full potential in precision medicine requires coordinated efforts in protocol standardization, trial methodology refinement, mechanistic validation, and targeted training of healthcare professionals to transform microbiome discoveries into practical clinical tools.  Reference:Porcari S, Ng SC, Zitvogel L, Sokol H, Weersma RK, Elinav E, Gasbarrini A, Cammarota G, Tilg H, Ianiro G. (2025). The microbiome for clinicians. Cell, 188, 2836–2844. https://doi.org/10.1016/j.cell.2025.04.016 License:This episode is based on an open access article published under the Creative Commons Attribution 4.0 International (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107561/c1a-p6xp7-pkx830g6t01-cshtx6.jpg"></itunes:image>
                                                                            <itunes:duration>00:17:57</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[49: Chitin as a reservoir: DNA adsorption and gene transfer in Vibrio cholerae]]>
                </title>
                <pubDate>Wed, 18 Jun 2025 08:29:04 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    f4e299e9-d9fc-41ac-9fc4-fad9b7a40e93</guid>
                                    <link>https://basebybase.castos.com/episodes/chitin-dna-horizontal-transfer-vibrio</link>
                                <description>
                                            <![CDATA[<p>Holt JD et al., PNAS - Using microfluidic flow assays and live-cell imaging, the authors show that environmental DNA adsorbs to chitin particles and that Vibrio cholerae can retrieve this chitin-bound DNA for natural transformation. They further identify the PilU retraction motor as essential for retrieving surface-adsorbed DNA. Key terms: Vibrio cholerae, chitin, natural transformation, horizontal gene transfer, PilU.</p>
<p> Study Highlights:<br />Under physiologically realistic flow, fluorescently labeled environmental DNA accumulates on chitin particle surfaces. V. cholerae cells access this chitin-adsorbed DNA and undergo natural transformation, with transformants appearing near chitin after ~48 h. Retrieval of chitin-bound DNA requires the force-generating pilus ATPase PilU, whereas PilU is dispensable when free DNA is available in liquid. These results position chitin particles as potential hotspots for horizontal gene transfer in aquatic environments.</p>
<p> Conclusion:<br />Chitin particles can act as environmental reservoirs of DNA that promote horizontal gene transfer by natural transformation, and efficient retrieval of this surface-adsorbed DNA depends on PilU-driven pilus retraction.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Environmental DNA adsorption to chitin can promote horizontal gene transfer by natural transformation</p>
<p> First author:<br />Holt JD</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2420708122</p>
<p> Reference:<br />Holt JD, Peng Y, Dalia TN, Dalia AB, Nadell CD. Environmental DNA adsorption to chitin can promote horizontal gene transfer by natural transformation. PNAS. 2025;122(22):e2420708122. doi:10.1073/pnas.2420708122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/chitin-dna-horizontal-transfer-vibrio</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing chitin-DNA adsorption under flow, microfluidic modeling, chitin-bound DNA as a reservoir for natural transformation, the PilU motor’s role, and ecological implications for marine environments.<br />- transcript topics: DNA adsorption to chitin under laminar flow; Microfluidic device setup and imaging of DNA on chitin; Chitin-bound DNA as a reservoir for natural transformation; GFP reporter NT assay and 48 h transformation observation; PilU motor’s requirement for NT with surface-bound DNA; Translatability to natural environments and limitations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- DNA adsorbs to chitin under flow and concentrates on the surface<br />- Chitin-bound DNA is retrievable by Vibrio cholerae for natural transformation<br />- Transformants appear near the chitin surface after ~48 hours<br />- PilU is required for efficient retrieval of surface-adsorbed DNA; ∆pilU markedly reduces NT on chitin<br />- PilU is dispensable for NT with freely soluble DNA</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Holt JD et al., PNAS - Using microfluidic flow assays and live-cell imaging, the authors show that environmental DNA adsorbs to chitin particles and that Vibrio cholerae can retrieve this chitin-bound DNA for natural transformation. They further identify the PilU retraction motor as essential for retrieving surface-adsorbed DNA. Key terms: Vibrio cholerae, chitin, natural transformation, horizontal gene transfer, PilU.
 Study Highlights:Under physiologically realistic flow, fluorescently labeled environmental DNA accumulates on chitin particle surfaces. V. cholerae cells access this chitin-adsorbed DNA and undergo natural transformation, with transformants appearing near chitin after ~48 h. Retrieval of chitin-bound DNA requires the force-generating pilus ATPase PilU, whereas PilU is dispensable when free DNA is available in liquid. These results position chitin particles as potential hotspots for horizontal gene transfer in aquatic environments.
 Conclusion:Chitin particles can act as environmental reservoirs of DNA that promote horizontal gene transfer by natural transformation, and efficient retrieval of this surface-adsorbed DNA depends on PilU-driven pilus retraction.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Environmental DNA adsorption to chitin can promote horizontal gene transfer by natural transformation
 First author:Holt JD
 Journal:PNAS
 DOI:10.1073/pnas.2420708122
 Reference:Holt JD, Peng Y, Dalia TN, Dalia AB, Nadell CD. Environmental DNA adsorption to chitin can promote horizontal gene transfer by natural transformation. PNAS. 2025;122(22):e2420708122. doi:10.1073/pnas.2420708122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/chitin-dna-horizontal-transfer-vibrio
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing chitin-DNA adsorption under flow, microfluidic modeling, chitin-bound DNA as a reservoir for natural transformation, the PilU motor’s role, and ecological implications for marine environments.- transcript topics: DNA adsorption to chitin under laminar flow; Microfluidic device setup and imaging of DNA on chitin; Chitin-bound DNA as a reservoir for natural transformation; GFP reporter NT assay and 48 h transformation observation; PilU motor’s requirement for NT with surface-bound DNA; Translatability to natural environments and limitations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- DNA adsorbs to chitin under flow and concentrates on the surface- Chitin-bound DNA is retrievable by Vibrio cholerae for natural transformation- Transformants appear near the chitin surface after ~48 hours- PilU is required for efficient retrieval of surface-adsorbed DNA; ∆pilU markedly reduces NT on chitin- PilU is dispensable for NT with freely soluble DNA]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[49: Chitin as a reservoir: DNA adsorption and gene transfer in Vibrio cholerae]]>
                </itunes:title>
                                    <itunes:episode>49</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Holt JD et al., PNAS - Using microfluidic flow assays and live-cell imaging, the authors show that environmental DNA adsorbs to chitin particles and that Vibrio cholerae can retrieve this chitin-bound DNA for natural transformation. They further identify the PilU retraction motor as essential for retrieving surface-adsorbed DNA. Key terms: Vibrio cholerae, chitin, natural transformation, horizontal gene transfer, PilU.</p>
<p> Study Highlights:<br />Under physiologically realistic flow, fluorescently labeled environmental DNA accumulates on chitin particle surfaces. V. cholerae cells access this chitin-adsorbed DNA and undergo natural transformation, with transformants appearing near chitin after ~48 h. Retrieval of chitin-bound DNA requires the force-generating pilus ATPase PilU, whereas PilU is dispensable when free DNA is available in liquid. These results position chitin particles as potential hotspots for horizontal gene transfer in aquatic environments.</p>
<p> Conclusion:<br />Chitin particles can act as environmental reservoirs of DNA that promote horizontal gene transfer by natural transformation, and efficient retrieval of this surface-adsorbed DNA depends on PilU-driven pilus retraction.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Environmental DNA adsorption to chitin can promote horizontal gene transfer by natural transformation</p>
<p> First author:<br />Holt JD</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2420708122</p>
<p> Reference:<br />Holt JD, Peng Y, Dalia TN, Dalia AB, Nadell CD. Environmental DNA adsorption to chitin can promote horizontal gene transfer by natural transformation. PNAS. 2025;122(22):e2420708122. doi:10.1073/pnas.2420708122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/chitin-dna-horizontal-transfer-vibrio</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing chitin-DNA adsorption under flow, microfluidic modeling, chitin-bound DNA as a reservoir for natural transformation, the PilU motor’s role, and ecological implications for marine environments.<br />- transcript topics: DNA adsorption to chitin under laminar flow; Microfluidic device setup and imaging of DNA on chitin; Chitin-bound DNA as a reservoir for natural transformation; GFP reporter NT assay and 48 h transformation observation; PilU motor’s requirement for NT with surface-bound DNA; Translatability to natural environments and limitations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- DNA adsorbs to chitin under flow and concentrates on the surface<br />- Chitin-bound DNA is retrievable by Vibrio cholerae for natural transformation<br />- Transformants appear near the chitin surface after ~48 hours<br />- PilU is required for efficient retrieval of surface-adsorbed DNA; ∆pilU markedly reduces NT on chitin<br />- PilU is dispensable for NT with freely soluble DNA<br />- Wild shrimp shells can substitute lab chitin and yield similar results</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Holt JD et al., PNAS - Using microfluidic flow assays and live-cell imaging, the authors show that environmental DNA adsorbs to chitin particles and that Vibrio cholerae can retrieve this chitin-bound DNA for natural transformation. They further identify the PilU retraction motor as essential for retrieving surface-adsorbed DNA. Key terms: Vibrio cholerae, chitin, natural transformation, horizontal gene transfer, PilU.
 Study Highlights:Under physiologically realistic flow, fluorescently labeled environmental DNA accumulates on chitin particle surfaces. V. cholerae cells access this chitin-adsorbed DNA and undergo natural transformation, with transformants appearing near chitin after ~48 h. Retrieval of chitin-bound DNA requires the force-generating pilus ATPase PilU, whereas PilU is dispensable when free DNA is available in liquid. These results position chitin particles as potential hotspots for horizontal gene transfer in aquatic environments.
 Conclusion:Chitin particles can act as environmental reservoirs of DNA that promote horizontal gene transfer by natural transformation, and efficient retrieval of this surface-adsorbed DNA depends on PilU-driven pilus retraction.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Environmental DNA adsorption to chitin can promote horizontal gene transfer by natural transformation
 First author:Holt JD
 Journal:PNAS
 DOI:10.1073/pnas.2420708122
 Reference:Holt JD, Peng Y, Dalia TN, Dalia AB, Nadell CD. Environmental DNA adsorption to chitin can promote horizontal gene transfer by natural transformation. PNAS. 2025;122(22):e2420708122. doi:10.1073/pnas.2420708122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/chitin-dna-horizontal-transfer-vibrio
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing chitin-DNA adsorption under flow, microfluidic modeling, chitin-bound DNA as a reservoir for natural transformation, the PilU motor’s role, and ecological implications for marine environments.- transcript topics: DNA adsorption to chitin under laminar flow; Microfluidic device setup and imaging of DNA on chitin; Chitin-bound DNA as a reservoir for natural transformation; GFP reporter NT assay and 48 h transformation observation; PilU motor’s requirement for NT with surface-bound DNA; Translatability to natural environments and limitations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- DNA adsorbs to chitin under flow and concentrates on the surface- Chitin-bound DNA is retrievable by Vibrio cholerae for natural transformation- Transformants appear near the chitin surface after ~48 hours- PilU is required for efficient retrieval of surface-adsorbed DNA; ∆pilU markedly reduces NT on chitin- PilU is dispensable for NT with freely soluble DNA]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107562/c1a-p6xp7-dmj5g93oa806-lgcwmm.png"></itunes:image>
                                                                            <itunes:duration>00:22:59</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[48: Mainstreaming Clinical Genetic Testing: A Framework for Care]]>
                </title>
                <pubDate>Mon, 16 Jun 2025 18:10:43 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    f6e8c62a-88fd-4521-b7bb-004b6a486dee</guid>
                                    <link>https://basebybase.castos.com/episodes/mainstreaming-clinical-genetic-testing-framework</link>
                                <description>
                                            <![CDATA[<p>Mackley MP et al., Genetics in Medicine - A consensus-driven conceptual framework from Canadian genetics experts describing four models for mainstreaming clinical genetic testing and the variables that determine which model fits specific clinical scenarios. Key terms: mainstreaming, genetic testing, clinical genetics, service delivery, framework.</p>
<p> Study Highlights:<br />An expert focus group and consensus process were used to develop a unified framework for mainstreaming clinical genetic testing. Thirty-five individuals representing 20 clinical genetics services contributed to delineating diagnostic care pathway stages and influencing variables. The framework defines four generalizable mainstreaming models with increasing involvement of nongeneticist clinicians. Variables across patient, disease, test, report, clinician, and system domains inform model suitability and transitions over time.</p>
<p> Conclusion:<br />The framework offers a standardized taxonomy to guide design, implementation, and evaluation of mainstreaming programs so genetics resources can be optimally utilized and patient access and care improved; real-world evaluation and broader stakeholder engagement are needed.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Mainstreaming of clinical genetic testing: A conceptual framework</p>
<p> First author:<br />Mackley MP</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101465</p>
<p> Reference:<br />Mackley MP, Richer J, Guerin A, et al. Mainstreaming of clinical genetic testing: A conceptual framework. Genetics in Medicine. 2025. DOI: https://doi.org/10.1016/j.gim.2025.101465</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mainstreaming-clinical-genetic-testing-framework</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections that describe the mainstreaming framework, the four models (to-test, to-result, to-navigation, autonomous), the diagnostic care pathway stages, the influencing variables, practical examples (cancer/autism), safety nets (VUS), and lab report redesign plus limitations.<br />- transcript topics: Definition and rationale for mainstreaming in clinical genetics; Four-stage diagnostic care pathway: assessment, pretesting, laboratory, post-testing; Four mainstreaming models: to-test, to-result, to-navigation, autonomous; Variables influencing model suitability (patient, disease, test, report, clinician, system); Examples and scenario mapping (cancer, autism spectrum disorder); Safety nets and lab report design to aid non-geneticists</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Four generalizable mainstreaming models with progressive involvement of genetics services<br />- Four-stage diagnostic care pathway: assessment, pretesting, laboratory, post-testing<br />- Six influencing variables (patient, disease, test, diagnostic test...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Mackley MP et al., Genetics in Medicine - A consensus-driven conceptual framework from Canadian genetics experts describing four models for mainstreaming clinical genetic testing and the variables that determine which model fits specific clinical scenarios. Key terms: mainstreaming, genetic testing, clinical genetics, service delivery, framework.
 Study Highlights:An expert focus group and consensus process were used to develop a unified framework for mainstreaming clinical genetic testing. Thirty-five individuals representing 20 clinical genetics services contributed to delineating diagnostic care pathway stages and influencing variables. The framework defines four generalizable mainstreaming models with increasing involvement of nongeneticist clinicians. Variables across patient, disease, test, report, clinician, and system domains inform model suitability and transitions over time.
 Conclusion:The framework offers a standardized taxonomy to guide design, implementation, and evaluation of mainstreaming programs so genetics resources can be optimally utilized and patient access and care improved; real-world evaluation and broader stakeholder engagement are needed.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Mainstreaming of clinical genetic testing: A conceptual framework
 First author:Mackley MP
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101465
 Reference:Mackley MP, Richer J, Guerin A, et al. Mainstreaming of clinical genetic testing: A conceptual framework. Genetics in Medicine. 2025. DOI: https://doi.org/10.1016/j.gim.2025.101465
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mainstreaming-clinical-genetic-testing-framework
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections that describe the mainstreaming framework, the four models (to-test, to-result, to-navigation, autonomous), the diagnostic care pathway stages, the influencing variables, practical examples (cancer/autism), safety nets (VUS), and lab report redesign plus limitations.- transcript topics: Definition and rationale for mainstreaming in clinical genetics; Four-stage diagnostic care pathway: assessment, pretesting, laboratory, post-testing; Four mainstreaming models: to-test, to-result, to-navigation, autonomous; Variables influencing model suitability (patient, disease, test, report, clinician, system); Examples and scenario mapping (cancer, autism spectrum disorder); Safety nets and lab report design to aid non-geneticists
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Four generalizable mainstreaming models with progressive involvement of genetics services- Four-stage diagnostic care pathway: assessment, pretesting, laboratory, post-testing- Six influencing variables (patient, disease, test, diagnostic test...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[48: Mainstreaming Clinical Genetic Testing: A Framework for Care]]>
                </itunes:title>
                                    <itunes:episode>48</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Mackley MP et al., Genetics in Medicine - A consensus-driven conceptual framework from Canadian genetics experts describing four models for mainstreaming clinical genetic testing and the variables that determine which model fits specific clinical scenarios. Key terms: mainstreaming, genetic testing, clinical genetics, service delivery, framework.</p>
<p> Study Highlights:<br />An expert focus group and consensus process were used to develop a unified framework for mainstreaming clinical genetic testing. Thirty-five individuals representing 20 clinical genetics services contributed to delineating diagnostic care pathway stages and influencing variables. The framework defines four generalizable mainstreaming models with increasing involvement of nongeneticist clinicians. Variables across patient, disease, test, report, clinician, and system domains inform model suitability and transitions over time.</p>
<p> Conclusion:<br />The framework offers a standardized taxonomy to guide design, implementation, and evaluation of mainstreaming programs so genetics resources can be optimally utilized and patient access and care improved; real-world evaluation and broader stakeholder engagement are needed.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Mainstreaming of clinical genetic testing: A conceptual framework</p>
<p> First author:<br />Mackley MP</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101465</p>
<p> Reference:<br />Mackley MP, Richer J, Guerin A, et al. Mainstreaming of clinical genetic testing: A conceptual framework. Genetics in Medicine. 2025. DOI: https://doi.org/10.1016/j.gim.2025.101465</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mainstreaming-clinical-genetic-testing-framework</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections that describe the mainstreaming framework, the four models (to-test, to-result, to-navigation, autonomous), the diagnostic care pathway stages, the influencing variables, practical examples (cancer/autism), safety nets (VUS), and lab report redesign plus limitations.<br />- transcript topics: Definition and rationale for mainstreaming in clinical genetics; Four-stage diagnostic care pathway: assessment, pretesting, laboratory, post-testing; Four mainstreaming models: to-test, to-result, to-navigation, autonomous; Variables influencing model suitability (patient, disease, test, report, clinician, system); Examples and scenario mapping (cancer, autism spectrum disorder); Safety nets and lab report design to aid non-geneticists</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Four generalizable mainstreaming models with progressive involvement of genetics services<br />- Four-stage diagnostic care pathway: assessment, pretesting, laboratory, post-testing<br />- Six influencing variables (patient, disease, test, diagnostic test report, nongeneticist clinician, system)<br />- Guardrails: variant of uncertain significance triggers genetics input; safety nets<br />- Lab reports redesigned for clarity and embedded educational content<br />- Limitations: representation bias in focus group; need for broader counselor input</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Mackley MP et al., Genetics in Medicine - A consensus-driven conceptual framework from Canadian genetics experts describing four models for mainstreaming clinical genetic testing and the variables that determine which model fits specific clinical scenarios. Key terms: mainstreaming, genetic testing, clinical genetics, service delivery, framework.
 Study Highlights:An expert focus group and consensus process were used to develop a unified framework for mainstreaming clinical genetic testing. Thirty-five individuals representing 20 clinical genetics services contributed to delineating diagnostic care pathway stages and influencing variables. The framework defines four generalizable mainstreaming models with increasing involvement of nongeneticist clinicians. Variables across patient, disease, test, report, clinician, and system domains inform model suitability and transitions over time.
 Conclusion:The framework offers a standardized taxonomy to guide design, implementation, and evaluation of mainstreaming programs so genetics resources can be optimally utilized and patient access and care improved; real-world evaluation and broader stakeholder engagement are needed.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Mainstreaming of clinical genetic testing: A conceptual framework
 First author:Mackley MP
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101465
 Reference:Mackley MP, Richer J, Guerin A, et al. Mainstreaming of clinical genetic testing: A conceptual framework. Genetics in Medicine. 2025. DOI: https://doi.org/10.1016/j.gim.2025.101465
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mainstreaming-clinical-genetic-testing-framework
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections that describe the mainstreaming framework, the four models (to-test, to-result, to-navigation, autonomous), the diagnostic care pathway stages, the influencing variables, practical examples (cancer/autism), safety nets (VUS), and lab report redesign plus limitations.- transcript topics: Definition and rationale for mainstreaming in clinical genetics; Four-stage diagnostic care pathway: assessment, pretesting, laboratory, post-testing; Four mainstreaming models: to-test, to-result, to-navigation, autonomous; Variables influencing model suitability (patient, disease, test, report, clinician, system); Examples and scenario mapping (cancer, autism spectrum disorder); Safety nets and lab report design to aid non-geneticists
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Four generalizable mainstreaming models with progressive involvement of genetics services- Four-stage diagnostic care pathway: assessment, pretesting, laboratory, post-testing- Six influencing variables (patient, disease, test, diagnostic test...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107564/c1a-p6xp7-pknj375qi60-55wyzz.png"></itunes:image>
                                                                            <itunes:duration>00:16:11</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[47: Encoding and decoding chemokine-GPCR selectivity]]>
                </title>
                <pubDate>Mon, 16 Jun 2025 09:00:39 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
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                                    <link>https://basebybase.castos.com/episodes/encoding-decoding-selectivity-promiscuity-chemokine-gpcr</link>
                                <description>
                                            <![CDATA[<p>Kleist AB et al., Cell - A data-driven mapping of how 46 human chemokines and 23 GPCRs encode selective and promiscuous interactions. The team defines conserved, semi-conserved and variable determinants, identifies SLiMs in unstructured regions, and uses these rules to rewire a viral chemokine. Key terms: chemokine, GPCR, selectivity, SLiM, protein engineering.</p>
<p> Study Highlights:<br />The authors integrate sequence alignments, structural complexes, conservation scoring, and functional assays to define conserved, semi-conserved and variable recognition determinants in chemokine-GPCR interfaces. A minimal conserved disulfide-associated hotspot provides generalized recognition while most contacts are variable and concentrated in unstructured N-termini and loops. Short linear motifs (SLiMs) in these unstructured regions encode network-specific selectivity and evolve rapidly. They validate principles by engineering viral vMIP-II mutants with altered receptor preferences and provide a web resource for design.</p>
<p> Conclusion:<br />Selectivity and promiscuity in the chemokine-GPCR network are hierarchically encoded across conserved and rapidly evolving regions; these principles can guide rational design of chemokines and receptors for therapeutic applications.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Encoding and decoding selectivity and promiscuity in the human chemokine-GPCR interaction network</p>
<p> First author:<br />Kleist AB</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.03.046</p>
<p> Reference:<br />Kleist AB, Szpakowska M, Talbot LJ, et al. Encoding and decoding selectivity and promiscuity in the human chemokine-GPCR interaction network. Cell. 2025;188:3603–3622. doi:10.1016/j.cell.2025.03.046</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/encoding-decoding-selectivity-promiscuity-chemokine-gpcr</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of hierarchical encoding of chemokine-GPCR selectivity, generalized/subfamily/network determinants, SLiMs in unstructured regions, negative design, ACKR1 variant effects, viral chemokine reengineering (vMIP-II), and therapeutic implications.<br />- transcript topics: Hierarchical encoding of chemokine-GPCR selectivity; Public/conserved, semi-conserved, and private/variable determinants; Subfamily-specific sensors distinguishing CC vs CXC; Role of SLiMs in unstructured regions (N-termini and ECL2); Negative design and steric hindrance of non-cognate interactions; ACKR1 Gly42Asp variant and population phenotype links</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Hierarchical encoding of selectivity via generalized (public), subfamily-specific (semi-private), and network-specific (private) determinants<br />- Generalized recognition is encoded by a minimal set of conserved residues, often near disulfide-rich...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kleist AB et al., Cell - A data-driven mapping of how 46 human chemokines and 23 GPCRs encode selective and promiscuous interactions. The team defines conserved, semi-conserved and variable determinants, identifies SLiMs in unstructured regions, and uses these rules to rewire a viral chemokine. Key terms: chemokine, GPCR, selectivity, SLiM, protein engineering.
 Study Highlights:The authors integrate sequence alignments, structural complexes, conservation scoring, and functional assays to define conserved, semi-conserved and variable recognition determinants in chemokine-GPCR interfaces. A minimal conserved disulfide-associated hotspot provides generalized recognition while most contacts are variable and concentrated in unstructured N-termini and loops. Short linear motifs (SLiMs) in these unstructured regions encode network-specific selectivity and evolve rapidly. They validate principles by engineering viral vMIP-II mutants with altered receptor preferences and provide a web resource for design.
 Conclusion:Selectivity and promiscuity in the chemokine-GPCR network are hierarchically encoded across conserved and rapidly evolving regions; these principles can guide rational design of chemokines and receptors for therapeutic applications.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Encoding and decoding selectivity and promiscuity in the human chemokine-GPCR interaction network
 First author:Kleist AB
 Journal:Cell
 DOI:10.1016/j.cell.2025.03.046
 Reference:Kleist AB, Szpakowska M, Talbot LJ, et al. Encoding and decoding selectivity and promiscuity in the human chemokine-GPCR interaction network. Cell. 2025;188:3603–3622. doi:10.1016/j.cell.2025.03.046
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/encoding-decoding-selectivity-promiscuity-chemokine-gpcr
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of hierarchical encoding of chemokine-GPCR selectivity, generalized/subfamily/network determinants, SLiMs in unstructured regions, negative design, ACKR1 variant effects, viral chemokine reengineering (vMIP-II), and therapeutic implications.- transcript topics: Hierarchical encoding of chemokine-GPCR selectivity; Public/conserved, semi-conserved, and private/variable determinants; Subfamily-specific sensors distinguishing CC vs CXC; Role of SLiMs in unstructured regions (N-termini and ECL2); Negative design and steric hindrance of non-cognate interactions; ACKR1 Gly42Asp variant and population phenotype links
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Hierarchical encoding of selectivity via generalized (public), subfamily-specific (semi-private), and network-specific (private) determinants- Generalized recognition is encoded by a minimal set of conserved residues, often near disulfide-rich...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[47: Encoding and decoding chemokine-GPCR selectivity]]>
                </itunes:title>
                                    <itunes:episode>47</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kleist AB et al., Cell - A data-driven mapping of how 46 human chemokines and 23 GPCRs encode selective and promiscuous interactions. The team defines conserved, semi-conserved and variable determinants, identifies SLiMs in unstructured regions, and uses these rules to rewire a viral chemokine. Key terms: chemokine, GPCR, selectivity, SLiM, protein engineering.</p>
<p> Study Highlights:<br />The authors integrate sequence alignments, structural complexes, conservation scoring, and functional assays to define conserved, semi-conserved and variable recognition determinants in chemokine-GPCR interfaces. A minimal conserved disulfide-associated hotspot provides generalized recognition while most contacts are variable and concentrated in unstructured N-termini and loops. Short linear motifs (SLiMs) in these unstructured regions encode network-specific selectivity and evolve rapidly. They validate principles by engineering viral vMIP-II mutants with altered receptor preferences and provide a web resource for design.</p>
<p> Conclusion:<br />Selectivity and promiscuity in the chemokine-GPCR network are hierarchically encoded across conserved and rapidly evolving regions; these principles can guide rational design of chemokines and receptors for therapeutic applications.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Encoding and decoding selectivity and promiscuity in the human chemokine-GPCR interaction network</p>
<p> First author:<br />Kleist AB</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.03.046</p>
<p> Reference:<br />Kleist AB, Szpakowska M, Talbot LJ, et al. Encoding and decoding selectivity and promiscuity in the human chemokine-GPCR interaction network. Cell. 2025;188:3603–3622. doi:10.1016/j.cell.2025.03.046</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/encoding-decoding-selectivity-promiscuity-chemokine-gpcr</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's coverage of hierarchical encoding of chemokine-GPCR selectivity, generalized/subfamily/network determinants, SLiMs in unstructured regions, negative design, ACKR1 variant effects, viral chemokine reengineering (vMIP-II), and therapeutic implications.<br />- transcript topics: Hierarchical encoding of chemokine-GPCR selectivity; Public/conserved, semi-conserved, and private/variable determinants; Subfamily-specific sensors distinguishing CC vs CXC; Role of SLiMs in unstructured regions (N-termini and ECL2); Negative design and steric hindrance of non-cognate interactions; ACKR1 Gly42Asp variant and population phenotype links</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Hierarchical encoding of selectivity via generalized (public), subfamily-specific (semi-private), and network-specific (private) determinants<br />- Generalized recognition is encoded by a minimal set of conserved residues, often near disulfide-rich regions<br />- Subfamily-specific sensors differentiate CC vs CXC binding modes and involve context-dependent residues<br />- SLiMs in unstructured regions (N-termini and loops) encode network-specific selectivity<br />- Negative design features can actively block noncognate chemokine-GPCR interactions (steric hindrance)<br />- ACKR1 Gly42Asp variant alters binding and immune cell trafficking phenotypes linked to population differences</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Kleist AB et al., Cell - A data-driven mapping of how 46 human chemokines and 23 GPCRs encode selective and promiscuous interactions. The team defines conserved, semi-conserved and variable determinants, identifies SLiMs in unstructured regions, and uses these rules to rewire a viral chemokine. Key terms: chemokine, GPCR, selectivity, SLiM, protein engineering.
 Study Highlights:The authors integrate sequence alignments, structural complexes, conservation scoring, and functional assays to define conserved, semi-conserved and variable recognition determinants in chemokine-GPCR interfaces. A minimal conserved disulfide-associated hotspot provides generalized recognition while most contacts are variable and concentrated in unstructured N-termini and loops. Short linear motifs (SLiMs) in these unstructured regions encode network-specific selectivity and evolve rapidly. They validate principles by engineering viral vMIP-II mutants with altered receptor preferences and provide a web resource for design.
 Conclusion:Selectivity and promiscuity in the chemokine-GPCR network are hierarchically encoded across conserved and rapidly evolving regions; these principles can guide rational design of chemokines and receptors for therapeutic applications.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Encoding and decoding selectivity and promiscuity in the human chemokine-GPCR interaction network
 First author:Kleist AB
 Journal:Cell
 DOI:10.1016/j.cell.2025.03.046
 Reference:Kleist AB, Szpakowska M, Talbot LJ, et al. Encoding and decoding selectivity and promiscuity in the human chemokine-GPCR interaction network. Cell. 2025;188:3603–3622. doi:10.1016/j.cell.2025.03.046
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/encoding-decoding-selectivity-promiscuity-chemokine-gpcr
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's coverage of hierarchical encoding of chemokine-GPCR selectivity, generalized/subfamily/network determinants, SLiMs in unstructured regions, negative design, ACKR1 variant effects, viral chemokine reengineering (vMIP-II), and therapeutic implications.- transcript topics: Hierarchical encoding of chemokine-GPCR selectivity; Public/conserved, semi-conserved, and private/variable determinants; Subfamily-specific sensors distinguishing CC vs CXC; Role of SLiMs in unstructured regions (N-termini and ECL2); Negative design and steric hindrance of non-cognate interactions; ACKR1 Gly42Asp variant and population phenotype links
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Hierarchical encoding of selectivity via generalized (public), subfamily-specific (semi-private), and network-specific (private) determinants- Generalized recognition is encoded by a minimal set of conserved residues, often near disulfide-rich...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107563/c1a-p6xp7-ok03o5d8s17x-qiruzf.png"></itunes:image>
                                                                            <itunes:duration>00:22:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[46: Decoding ZUF y{ntˆmk�t{z]]>
                </title>
                <pubDate>Sat, 14 Jun 2025 00:43:10 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    7e1d1c16-a352-4368-bddb-3d208d0b10be</guid>
                                    <link>https://basebybase.castos.com/episodes/decoding-zuf-yntmk-tz</link>
                                <description>
                                            <![CDATA[<p>Linder B et al., Cell - Analysis and experimental characterization of ZUF y{ntˆmk�t{z and related yZUF nomkÞ patterns using assays and comparative Ltr�~o series reported in the PDF. Key terms: ZUF, y{ntˆmk�t{z, nomkÞ, JZFIN, Ltr�~o.</p>
<p> Study Highlights:<br />The manuscript documents characterization of yZUF y{ntˆmk�t{z and repeated observations of yZUF nomkÞ across assays. Methods cited include IJ[, JZFIN, TK\\S6, Ltr�~o and comparative platforms KSW4/RV/NKR5=6\. Results report recurring patterns in tzmw�ntzr and m{n{z structural features and present multiple Ltr�~o series and comparative analyses.</p>
<p> Conclusion:<br />The work compiles experimental characterizations of yZUF y{ntˆmk�t{z and documents consistent nomkÞ-related patterns across the reported methods.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />ZUF y{ntˆmk�t{z � ��zo y:F/no|oznoz� yZUF nomkÞ</p>
<p> First author:<br />Linder B</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.04.013</p>
<p> Reference:<br />Linder B., Sharma P., Wu J., Birbaumer T., Eggers C., Murakami S., et al.. tRNA modifications tune m6A-dependent mRNA decay. Cell, 188, 3715-3727.e13. (2025). https://doi.org/10.1016/j.cell.2025.04.013</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/decoding-zuf-yntmk-tz</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's core mechanistic narrative and experimental approaches: location-dependent M6A effects, ribosome dynamics, tRNA modification interplay, codon-specific decoding, CRISPR KO experiments, chemical inhibition, and clinical implications.<br />- transcript topics: M6A effects by location (CDS vs 3'UTR); Ribosome pausing and collisions with CCR4-Not-mediated decay; MCM5S2U tRNA wobble modification and read-through; Codon-specific decoding: GGA vs AGA/GAA; CRISPR KO: ELP1 and CTU2; STM2457 inhibition and M6A deposition</p>
<p>QC Summary:<br />- factual score: 8/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- M6A in CDS promotes rapid decay via CCR4-Not–mediated deadenylation<br />- Ribosome profiling shows stalls/collisions at M6A-modified codons<br />- MCM5S2U modification on tRNA enables read-through of M6A speed bumps<br />- Codon-specific effects: GGA reads through; AGA/GAA require MCM5S2U for read-through<br />- CRISPR KO of ELP1 and CTU2 increases ribosome pausing/collisions at AGA codons<br />- STM2457 inhibits deposition of M6A and stabilizes decaying transcripts</p>
<p>QC Flagged Items (audited and not fully supported):<br />- Numeric claim not supported: M6A-modification decay half-life measurements<br />- Numeric claim not supported: Survival correlations (TCGA/MetaBRCA) with TRNA modification vs M6A balance<br />Internal QC note: the episode should be re-produced before publication.</p>
<p>QC result: Fail. Items above were flagged during automated QC; the editorial team reviewed them before release and accepted the episode for pub...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Linder B et al., Cell - Analysis and experimental characterization of ZUF y{ntˆmk�t{z and related yZUF nomkÞ patterns using assays and comparative Ltr�~o series reported in the PDF. Key terms: ZUF, y{ntˆmk�t{z, nomkÞ, JZFIN, Ltr�~o.
 Study Highlights:The manuscript documents characterization of yZUF y{ntˆmk�t{z and repeated observations of yZUF nomkÞ across assays. Methods cited include IJ[, JZFIN, TK\\S6, Ltr�~o and comparative platforms KSW4/RV/NKR5=6\. Results report recurring patterns in tzmw�ntzr and m{n{z structural features and present multiple Ltr�~o series and comparative analyses.
 Conclusion:The work compiles experimental characterizations of yZUF y{ntˆmk�t{z and documents consistent nomkÞ-related patterns across the reported methods.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:ZUF y{ntˆmk�t{z � ��zo y:F/no|oznoz� yZUF nomkÞ
 First author:Linder B
 Journal:Cell
 DOI:10.1016/j.cell.2025.04.013
 Reference:Linder B., Sharma P., Wu J., Birbaumer T., Eggers C., Murakami S., et al.. tRNA modifications tune m6A-dependent mRNA decay. Cell, 188, 3715-3727.e13. (2025). https://doi.org/10.1016/j.cell.2025.04.013
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/decoding-zuf-yntmk-tz
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's core mechanistic narrative and experimental approaches: location-dependent M6A effects, ribosome dynamics, tRNA modification interplay, codon-specific decoding, CRISPR KO experiments, chemical inhibition, and clinical implications.- transcript topics: M6A effects by location (CDS vs 3'UTR); Ribosome pausing and collisions with CCR4-Not-mediated decay; MCM5S2U tRNA wobble modification and read-through; Codon-specific decoding: GGA vs AGA/GAA; CRISPR KO: ELP1 and CTU2; STM2457 inhibition and M6A deposition
QC Summary:- factual score: 8/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- M6A in CDS promotes rapid decay via CCR4-Not–mediated deadenylation- Ribosome profiling shows stalls/collisions at M6A-modified codons- MCM5S2U modification on tRNA enables read-through of M6A speed bumps- Codon-specific effects: GGA reads through; AGA/GAA require MCM5S2U for read-through- CRISPR KO of ELP1 and CTU2 increases ribosome pausing/collisions at AGA codons- STM2457 inhibits deposition of M6A and stabilizes decaying transcripts
QC Flagged Items (audited and not fully supported):- Numeric claim not supported: M6A-modification decay half-life measurements- Numeric claim not supported: Survival correlations (TCGA/MetaBRCA) with TRNA modification vs M6A balanceInternal QC note: the episode should be re-produced before publication.
QC result: Fail. Items above were flagged during automated QC; the editorial team reviewed them before release and accepted the episode for pub...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[46: Decoding ZUF y{ntˆmk�t{z]]>
                </itunes:title>
                                    <itunes:episode>46</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Linder B et al., Cell - Analysis and experimental characterization of ZUF y{ntˆmk�t{z and related yZUF nomkÞ patterns using assays and comparative Ltr�~o series reported in the PDF. Key terms: ZUF, y{ntˆmk�t{z, nomkÞ, JZFIN, Ltr�~o.</p>
<p> Study Highlights:<br />The manuscript documents characterization of yZUF y{ntˆmk�t{z and repeated observations of yZUF nomkÞ across assays. Methods cited include IJ[, JZFIN, TK\\S6, Ltr�~o and comparative platforms KSW4/RV/NKR5=6\. Results report recurring patterns in tzmw�ntzr and m{n{z structural features and present multiple Ltr�~o series and comparative analyses.</p>
<p> Conclusion:<br />The work compiles experimental characterizations of yZUF y{ntˆmk�t{z and documents consistent nomkÞ-related patterns across the reported methods.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />ZUF y{ntˆmk�t{z � ��zo y:F/no|oznoz� yZUF nomkÞ</p>
<p> First author:<br />Linder B</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.04.013</p>
<p> Reference:<br />Linder B., Sharma P., Wu J., Birbaumer T., Eggers C., Murakami S., et al.. tRNA modifications tune m6A-dependent mRNA decay. Cell, 188, 3715-3727.e13. (2025). https://doi.org/10.1016/j.cell.2025.04.013</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/decoding-zuf-yntmk-tz</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's core mechanistic narrative and experimental approaches: location-dependent M6A effects, ribosome dynamics, tRNA modification interplay, codon-specific decoding, CRISPR KO experiments, chemical inhibition, and clinical implications.<br />- transcript topics: M6A effects by location (CDS vs 3'UTR); Ribosome pausing and collisions with CCR4-Not-mediated decay; MCM5S2U tRNA wobble modification and read-through; Codon-specific decoding: GGA vs AGA/GAA; CRISPR KO: ELP1 and CTU2; STM2457 inhibition and M6A deposition</p>
<p>QC Summary:<br />- factual score: 8/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- M6A in CDS promotes rapid decay via CCR4-Not–mediated deadenylation<br />- Ribosome profiling shows stalls/collisions at M6A-modified codons<br />- MCM5S2U modification on tRNA enables read-through of M6A speed bumps<br />- Codon-specific effects: GGA reads through; AGA/GAA require MCM5S2U for read-through<br />- CRISPR KO of ELP1 and CTU2 increases ribosome pausing/collisions at AGA codons<br />- STM2457 inhibits deposition of M6A and stabilizes decaying transcripts</p>
<p>QC Flagged Items (audited and not fully supported):<br />- Numeric claim not supported: M6A-modification decay half-life measurements<br />- Numeric claim not supported: Survival correlations (TCGA/MetaBRCA) with TRNA modification vs M6A balance<br />Internal QC note: the episode should be re-produced before publication.</p>
<p>QC result: Fail. Items above were flagged during automated QC; the editorial team reviewed them before release and accepted the episode for publication with this transparency note.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Linder B et al., Cell - Analysis and experimental characterization of ZUF y{ntˆmk�t{z and related yZUF nomkÞ patterns using assays and comparative Ltr�~o series reported in the PDF. Key terms: ZUF, y{ntˆmk�t{z, nomkÞ, JZFIN, Ltr�~o.
 Study Highlights:The manuscript documents characterization of yZUF y{ntˆmk�t{z and repeated observations of yZUF nomkÞ across assays. Methods cited include IJ[, JZFIN, TK\\S6, Ltr�~o and comparative platforms KSW4/RV/NKR5=6\. Results report recurring patterns in tzmw�ntzr and m{n{z structural features and present multiple Ltr�~o series and comparative analyses.
 Conclusion:The work compiles experimental characterizations of yZUF y{ntˆmk�t{z and documents consistent nomkÞ-related patterns across the reported methods.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:ZUF y{ntˆmk�t{z � ��zo y:F/no|oznoz� yZUF nomkÞ
 First author:Linder B
 Journal:Cell
 DOI:10.1016/j.cell.2025.04.013
 Reference:Linder B., Sharma P., Wu J., Birbaumer T., Eggers C., Murakami S., et al.. tRNA modifications tune m6A-dependent mRNA decay. Cell, 188, 3715-3727.e13. (2025). https://doi.org/10.1016/j.cell.2025.04.013
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/decoding-zuf-yntmk-tz
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's core mechanistic narrative and experimental approaches: location-dependent M6A effects, ribosome dynamics, tRNA modification interplay, codon-specific decoding, CRISPR KO experiments, chemical inhibition, and clinical implications.- transcript topics: M6A effects by location (CDS vs 3'UTR); Ribosome pausing and collisions with CCR4-Not-mediated decay; MCM5S2U tRNA wobble modification and read-through; Codon-specific decoding: GGA vs AGA/GAA; CRISPR KO: ELP1 and CTU2; STM2457 inhibition and M6A deposition
QC Summary:- factual score: 8/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- M6A in CDS promotes rapid decay via CCR4-Not–mediated deadenylation- Ribosome profiling shows stalls/collisions at M6A-modified codons- MCM5S2U modification on tRNA enables read-through of M6A speed bumps- Codon-specific effects: GGA reads through; AGA/GAA require MCM5S2U for read-through- CRISPR KO of ELP1 and CTU2 increases ribosome pausing/collisions at AGA codons- STM2457 inhibits deposition of M6A and stabilizes decaying transcripts
QC Flagged Items (audited and not fully supported):- Numeric claim not supported: M6A-modification decay half-life measurements- Numeric claim not supported: Survival correlations (TCGA/MetaBRCA) with TRNA modification vs M6A balanceInternal QC note: the episode should be re-produced before publication.
QC result: Fail. Items above were flagged during automated QC; the editorial team reviewed them before release and accepted the episode for pub...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107565/c1a-p6xp7-z319vgn6hd1x-ruepvu.png"></itunes:image>
                                                                            <itunes:duration>00:20:34</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[45: RNA-dependent mechanics of nucleolar subcompartments]]>
                </title>
                <pubDate>Thu, 12 Jun 2025 09:08:43 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    ea4db426-96ab-485e-ad0a-6fe7eef6abed</guid>
                                    <link>https://basebybase.castos.com/episodes/nucleolus-rna-viscoelasticity-ep45</link>
                                <description>
                                            <![CDATA[<p>Cheng HH et al., Proceedings of the National Academy of Sciences (PNAS) - Using micropipette aspiration in Xenopus laevis oocyte nuclei, authors show the nucleolar granular component behaves as a liquid while the dense fibrillar component and fibrillar center exhibit RNA-dependent viscoelastic, partially solid-like properties; RNase A fluidizes the DFC and alters interfacial tensions. Key terms: nucleolus, micropipette aspiration, viscoelasticity, RNA, Xenopus laevis.</p>
<p> Study Highlights:<br />The study adapts micropipette aspiration (MPA) to measure viscoelasticity and interfacial tensions of nucleoli in isolated Xenopus laevis germinal vesicles. The outer granular component (GC) behaves as a Newtonian, liquid-like material, whereas the inner dense fibrillar component (DFC) and fibrillar center (FC) show signatures of a viscoelastic, partially solid-like material. Degrading RNA with RNase A fluidizes the DFC, speeds fusion, and increases apparent DFC–GC interfacial tension. These results link RNA content and processing to spatially varying nucleolar material properties relevant to ribosome maturation.</p>
<p> Conclusion:<br />Nascent rRNA confers partially solid-like viscoelastic properties to the DFC/FC and modulates interfacial tensions, coupling nucleolar material state to ribosome biogenesis; MPA provides direct in vivo rheological measurements of condensates.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Micropipette aspiration reveals differential RNA-dependent viscoelasticity of nucleolar subcompartments</p>
<p> First author:<br />Cheng HH</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2407423122</p>
<p> Reference:<br />Cheng HH, Roggeveen JV, Wang H, Stone HA, Shi Z, Brangwynne CP. Micropipette aspiration reveals differential RNA-dependent viscoelasticity of nucleolar subcompartments. Proc Natl Acad Sci U S A. 2025;122(22):e2407423122. doi:10.1073/pnas.2407423122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nucleolus-rna-viscoelasticity-ep45</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content describing nucleolar architecture, MPA methodology, material-property distinctions between GC and DFC/FC, RNA's role in solid-like DFC behavior, RNase A effects, and the implications for ribosome biogenesis, including measured viscosities, interfacial tensions, and fusion dynamics.<br />- transcript topics: Nucleolus architecture and subcompartments (GC vs DFC/FC); Micropipette aspiration methodology and nonwetting conditions; Material-property division: GC as Newtonian liquid; DFC/FC as viscoelastic solid; RNA dependence of DFC/FC properties; RNase A experiments fluidizing DFC and changing fusion dynamics; Interfacial tensions and inverse capillary velocity measurements</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 1<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- GC is a New...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Cheng HH et al., Proceedings of the National Academy of Sciences (PNAS) - Using micropipette aspiration in Xenopus laevis oocyte nuclei, authors show the nucleolar granular component behaves as a liquid while the dense fibrillar component and fibrillar center exhibit RNA-dependent viscoelastic, partially solid-like properties; RNase A fluidizes the DFC and alters interfacial tensions. Key terms: nucleolus, micropipette aspiration, viscoelasticity, RNA, Xenopus laevis.
 Study Highlights:The study adapts micropipette aspiration (MPA) to measure viscoelasticity and interfacial tensions of nucleoli in isolated Xenopus laevis germinal vesicles. The outer granular component (GC) behaves as a Newtonian, liquid-like material, whereas the inner dense fibrillar component (DFC) and fibrillar center (FC) show signatures of a viscoelastic, partially solid-like material. Degrading RNA with RNase A fluidizes the DFC, speeds fusion, and increases apparent DFC–GC interfacial tension. These results link RNA content and processing to spatially varying nucleolar material properties relevant to ribosome maturation.
 Conclusion:Nascent rRNA confers partially solid-like viscoelastic properties to the DFC/FC and modulates interfacial tensions, coupling nucleolar material state to ribosome biogenesis; MPA provides direct in vivo rheological measurements of condensates.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Micropipette aspiration reveals differential RNA-dependent viscoelasticity of nucleolar subcompartments
 First author:Cheng HH
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2407423122
 Reference:Cheng HH, Roggeveen JV, Wang H, Stone HA, Shi Z, Brangwynne CP. Micropipette aspiration reveals differential RNA-dependent viscoelasticity of nucleolar subcompartments. Proc Natl Acad Sci U S A. 2025;122(22):e2407423122. doi:10.1073/pnas.2407423122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nucleolus-rna-viscoelasticity-ep45
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content describing nucleolar architecture, MPA methodology, material-property distinctions between GC and DFC/FC, RNA's role in solid-like DFC behavior, RNase A effects, and the implications for ribosome biogenesis, including measured viscosities, interfacial tensions, and fusion dynamics.- transcript topics: Nucleolus architecture and subcompartments (GC vs DFC/FC); Micropipette aspiration methodology and nonwetting conditions; Material-property division: GC as Newtonian liquid; DFC/FC as viscoelastic solid; RNA dependence of DFC/FC properties; RNase A experiments fluidizing DFC and changing fusion dynamics; Interfacial tensions and inverse capillary velocity measurements
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 1- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- GC is a New...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[45: RNA-dependent mechanics of nucleolar subcompartments]]>
                </itunes:title>
                                    <itunes:episode>45</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Cheng HH et al., Proceedings of the National Academy of Sciences (PNAS) - Using micropipette aspiration in Xenopus laevis oocyte nuclei, authors show the nucleolar granular component behaves as a liquid while the dense fibrillar component and fibrillar center exhibit RNA-dependent viscoelastic, partially solid-like properties; RNase A fluidizes the DFC and alters interfacial tensions. Key terms: nucleolus, micropipette aspiration, viscoelasticity, RNA, Xenopus laevis.</p>
<p> Study Highlights:<br />The study adapts micropipette aspiration (MPA) to measure viscoelasticity and interfacial tensions of nucleoli in isolated Xenopus laevis germinal vesicles. The outer granular component (GC) behaves as a Newtonian, liquid-like material, whereas the inner dense fibrillar component (DFC) and fibrillar center (FC) show signatures of a viscoelastic, partially solid-like material. Degrading RNA with RNase A fluidizes the DFC, speeds fusion, and increases apparent DFC–GC interfacial tension. These results link RNA content and processing to spatially varying nucleolar material properties relevant to ribosome maturation.</p>
<p> Conclusion:<br />Nascent rRNA confers partially solid-like viscoelastic properties to the DFC/FC and modulates interfacial tensions, coupling nucleolar material state to ribosome biogenesis; MPA provides direct in vivo rheological measurements of condensates.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Micropipette aspiration reveals differential RNA-dependent viscoelasticity of nucleolar subcompartments</p>
<p> First author:<br />Cheng HH</p>
<p> Journal:<br />Proceedings of the National Academy of Sciences (PNAS)</p>
<p> DOI:<br />10.1073/pnas.2407423122</p>
<p> Reference:<br />Cheng HH, Roggeveen JV, Wang H, Stone HA, Shi Z, Brangwynne CP. Micropipette aspiration reveals differential RNA-dependent viscoelasticity of nucleolar subcompartments. Proc Natl Acad Sci U S A. 2025;122(22):e2407423122. doi:10.1073/pnas.2407423122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/nucleolus-rna-viscoelasticity-ep45</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the spoken content describing nucleolar architecture, MPA methodology, material-property distinctions between GC and DFC/FC, RNA's role in solid-like DFC behavior, RNase A effects, and the implications for ribosome biogenesis, including measured viscosities, interfacial tensions, and fusion dynamics.<br />- transcript topics: Nucleolus architecture and subcompartments (GC vs DFC/FC); Micropipette aspiration methodology and nonwetting conditions; Material-property division: GC as Newtonian liquid; DFC/FC as viscoelastic solid; RNA dependence of DFC/FC properties; RNase A experiments fluidizing DFC and changing fusion dynamics; Interfacial tensions and inverse capillary velocity measurements</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 1<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- GC is a Newtonian, liquid-like material with viscosity ~220 Pa·s<br />- DFC/FC behaves as a viscoelastic solid with elastic modulus ~2.6–3.1 Pa<br />- RNase A degrades RNA, fluidizes the DFC, and accelerates fusion<br />- GC–nucleoplasm interfacial tension ~1.7 ± 0.3 µN/m<br />- DFC–GC interfacial tension is small, upper bound ~0.5 ± 0.3 µN/m<br />- RNase-treated GC–DFC interfacial tension ~6.3 ± 2.0 µN/m</p>
<p>QC Flagged Items (audited and not fully supported):<br />- Core claim uncertain: Inverse capillary velocity decreases by about two orders of magnitude after RNase treatment (from ~300 s/µm to around 1 s/µm).</p>
<p>QC result: Warning. Items above were flagged during automated QC; the editorial team reviewed them before release.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Cheng HH et al., Proceedings of the National Academy of Sciences (PNAS) - Using micropipette aspiration in Xenopus laevis oocyte nuclei, authors show the nucleolar granular component behaves as a liquid while the dense fibrillar component and fibrillar center exhibit RNA-dependent viscoelastic, partially solid-like properties; RNase A fluidizes the DFC and alters interfacial tensions. Key terms: nucleolus, micropipette aspiration, viscoelasticity, RNA, Xenopus laevis.
 Study Highlights:The study adapts micropipette aspiration (MPA) to measure viscoelasticity and interfacial tensions of nucleoli in isolated Xenopus laevis germinal vesicles. The outer granular component (GC) behaves as a Newtonian, liquid-like material, whereas the inner dense fibrillar component (DFC) and fibrillar center (FC) show signatures of a viscoelastic, partially solid-like material. Degrading RNA with RNase A fluidizes the DFC, speeds fusion, and increases apparent DFC–GC interfacial tension. These results link RNA content and processing to spatially varying nucleolar material properties relevant to ribosome maturation.
 Conclusion:Nascent rRNA confers partially solid-like viscoelastic properties to the DFC/FC and modulates interfacial tensions, coupling nucleolar material state to ribosome biogenesis; MPA provides direct in vivo rheological measurements of condensates.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Micropipette aspiration reveals differential RNA-dependent viscoelasticity of nucleolar subcompartments
 First author:Cheng HH
 Journal:Proceedings of the National Academy of Sciences (PNAS)
 DOI:10.1073/pnas.2407423122
 Reference:Cheng HH, Roggeveen JV, Wang H, Stone HA, Shi Z, Brangwynne CP. Micropipette aspiration reveals differential RNA-dependent viscoelasticity of nucleolar subcompartments. Proc Natl Acad Sci U S A. 2025;122(22):e2407423122. doi:10.1073/pnas.2407423122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/nucleolus-rna-viscoelasticity-ep45
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the spoken content describing nucleolar architecture, MPA methodology, material-property distinctions between GC and DFC/FC, RNA's role in solid-like DFC behavior, RNase A effects, and the implications for ribosome biogenesis, including measured viscosities, interfacial tensions, and fusion dynamics.- transcript topics: Nucleolus architecture and subcompartments (GC vs DFC/FC); Micropipette aspiration methodology and nonwetting conditions; Material-property division: GC as Newtonian liquid; DFC/FC as viscoelastic solid; RNA dependence of DFC/FC properties; RNase A experiments fluidizing DFC and changing fusion dynamics; Interfacial tensions and inverse capillary velocity measurements
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 1- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- GC is a New...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107566/c1a-p6xp7-47415npxb8r1-j9utyx.png"></itunes:image>
                                                                            <itunes:duration>00:20:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[44: Polε Proofreading Revealed]]>
                </title>
                <pubDate>Thu, 12 Jun 2025 01:15:38 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    57635f8b-0454-4e08-9946-5858ac90a37a</guid>
                                    <link>https://basebybase.castos.com/episodes/pol-epsilon-proofreading-pnas-2025</link>
                                <description>
                                            <![CDATA[<p>Wang F et al., PNAS - This episode examines a cryo-EM study that captures authentic proofreading intermediates of human Polε in complex with PCNA by generating a mismatch in situ. The work reveals how PCNA constrains DNA movement and how a mismatched primer is transferred from the polymerase to the exonuclease site. Key terms: DNA proofreading, DNA polymerase ε, PCNA, cryo-EM, replication fidelity.</p>
<p> Study Highlights:<br />Using cryo-EM of Polε–PCNA complexes with a mismatch made in situ, the authors captured three distinct proofreading intermediates (mismatch-locking, Pol-backtracking, and mismatch-editing). A preexisting mismatched T/P could not access the exo site when PCNA was engaged, showing PCNA imposes steric constraints on DNA movement. Proofreading proceeds with unwinding of six base pairs, template scrunching that forms out-of-register base pairs, and sustained Polε–PCNA association during transfer of the 3′ primer end to the exo site.</p>
<p> Conclusion:<br />The study defines a PCNA-constrained, processive proofreading pathway for human Polε involving 6-bp unwinding and out-of-register base pairing; disruptions of Polε–PCNA interactions or exonuclease function could alter replication fidelity and contribute to mutagenesis.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The proofreading mechanism of the human leading-strand DNA polymerase ε holoenzyme</p>
<p> First author:<br />Wang F</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2507232122</p>
<p> Reference:<br />Wang F., He Q., O'Donnell M.E., Li H. The proofreading mechanism of the human leading-strand DNA polymerase ε holoenzyme. PNAS. 2025;122:e2507232122. doi:10.1073/pnas.2507232122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pol-epsilon-proofreading-pnas-2025</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the Polε–PCNA proofreading mechanism, in situ mismatch strategy, the three intermediates (mismatch-locking, backtracking, editing), the 6 bp unwinding/scrunching, structural roles (P-domain, thumb, linker), Pro286 wedge, and cancer-relevant mutations; plus implications and fut<br />- transcript topics: Polε–PCNA proofreading mechanism; In situ mismatch generation and cryo-EM capture; Three proofreading intermediates; 6 bp unwinding and DNA scrunching; Role of P-domain, thumb, and linker helix; Pro286 wedge and cancer mutations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Polε–PCNA holoenzyme proofreading mechanism with in situ mismatch<br />- Preexisting mismatches blocked from entering exo site when PCNA is engaged<br />- Three proofreading intermediates observed: mismatch-locking, Pol-backtracking, mismatch-editing<br />- 6 bp unwinding of template/primer during proofreading<br />- Primer 3′-end translocates ~15 Å to reach the exo site<br />- P-domain and linker-helix movements...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Wang F et al., PNAS - This episode examines a cryo-EM study that captures authentic proofreading intermediates of human Polε in complex with PCNA by generating a mismatch in situ. The work reveals how PCNA constrains DNA movement and how a mismatched primer is transferred from the polymerase to the exonuclease site. Key terms: DNA proofreading, DNA polymerase ε, PCNA, cryo-EM, replication fidelity.
 Study Highlights:Using cryo-EM of Polε–PCNA complexes with a mismatch made in situ, the authors captured three distinct proofreading intermediates (mismatch-locking, Pol-backtracking, and mismatch-editing). A preexisting mismatched T/P could not access the exo site when PCNA was engaged, showing PCNA imposes steric constraints on DNA movement. Proofreading proceeds with unwinding of six base pairs, template scrunching that forms out-of-register base pairs, and sustained Polε–PCNA association during transfer of the 3′ primer end to the exo site.
 Conclusion:The study defines a PCNA-constrained, processive proofreading pathway for human Polε involving 6-bp unwinding and out-of-register base pairing; disruptions of Polε–PCNA interactions or exonuclease function could alter replication fidelity and contribute to mutagenesis.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The proofreading mechanism of the human leading-strand DNA polymerase ε holoenzyme
 First author:Wang F
 Journal:PNAS
 DOI:10.1073/pnas.2507232122
 Reference:Wang F., He Q., O'Donnell M.E., Li H. The proofreading mechanism of the human leading-strand DNA polymerase ε holoenzyme. PNAS. 2025;122:e2507232122. doi:10.1073/pnas.2507232122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pol-epsilon-proofreading-pnas-2025
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the Polε–PCNA proofreading mechanism, in situ mismatch strategy, the three intermediates (mismatch-locking, backtracking, editing), the 6 bp unwinding/scrunching, structural roles (P-domain, thumb, linker), Pro286 wedge, and cancer-relevant mutations; plus implications and fut- transcript topics: Polε–PCNA proofreading mechanism; In situ mismatch generation and cryo-EM capture; Three proofreading intermediates; 6 bp unwinding and DNA scrunching; Role of P-domain, thumb, and linker helix; Pro286 wedge and cancer mutations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Polε–PCNA holoenzyme proofreading mechanism with in situ mismatch- Preexisting mismatches blocked from entering exo site when PCNA is engaged- Three proofreading intermediates observed: mismatch-locking, Pol-backtracking, mismatch-editing- 6 bp unwinding of template/primer during proofreading- Primer 3′-end translocates ~15 Å to reach the exo site- P-domain and linker-helix movements...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[44: Polε Proofreading Revealed]]>
                </itunes:title>
                                    <itunes:episode>44</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Wang F et al., PNAS - This episode examines a cryo-EM study that captures authentic proofreading intermediates of human Polε in complex with PCNA by generating a mismatch in situ. The work reveals how PCNA constrains DNA movement and how a mismatched primer is transferred from the polymerase to the exonuclease site. Key terms: DNA proofreading, DNA polymerase ε, PCNA, cryo-EM, replication fidelity.</p>
<p> Study Highlights:<br />Using cryo-EM of Polε–PCNA complexes with a mismatch made in situ, the authors captured three distinct proofreading intermediates (mismatch-locking, Pol-backtracking, and mismatch-editing). A preexisting mismatched T/P could not access the exo site when PCNA was engaged, showing PCNA imposes steric constraints on DNA movement. Proofreading proceeds with unwinding of six base pairs, template scrunching that forms out-of-register base pairs, and sustained Polε–PCNA association during transfer of the 3′ primer end to the exo site.</p>
<p> Conclusion:<br />The study defines a PCNA-constrained, processive proofreading pathway for human Polε involving 6-bp unwinding and out-of-register base pairing; disruptions of Polε–PCNA interactions or exonuclease function could alter replication fidelity and contribute to mutagenesis.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The proofreading mechanism of the human leading-strand DNA polymerase ε holoenzyme</p>
<p> First author:<br />Wang F</p>
<p> Journal:<br />PNAS</p>
<p> DOI:<br />10.1073/pnas.2507232122</p>
<p> Reference:<br />Wang F., He Q., O'Donnell M.E., Li H. The proofreading mechanism of the human leading-strand DNA polymerase ε holoenzyme. PNAS. 2025;122:e2507232122. doi:10.1073/pnas.2507232122</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/pol-epsilon-proofreading-pnas-2025</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-12.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing the Polε–PCNA proofreading mechanism, in situ mismatch strategy, the three intermediates (mismatch-locking, backtracking, editing), the 6 bp unwinding/scrunching, structural roles (P-domain, thumb, linker), Pro286 wedge, and cancer-relevant mutations; plus implications and fut<br />- transcript topics: Polε–PCNA proofreading mechanism; In situ mismatch generation and cryo-EM capture; Three proofreading intermediates; 6 bp unwinding and DNA scrunching; Role of P-domain, thumb, and linker helix; Pro286 wedge and cancer mutations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Polε–PCNA holoenzyme proofreading mechanism with in situ mismatch<br />- Preexisting mismatches blocked from entering exo site when PCNA is engaged<br />- Three proofreading intermediates observed: mismatch-locking, Pol-backtracking, mismatch-editing<br />- 6 bp unwinding of template/primer during proofreading<br />- Primer 3′-end translocates ~15 Å to reach the exo site<br />- P-domain and linker-helix movements drive proofreading transitions</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Wang F et al., PNAS - This episode examines a cryo-EM study that captures authentic proofreading intermediates of human Polε in complex with PCNA by generating a mismatch in situ. The work reveals how PCNA constrains DNA movement and how a mismatched primer is transferred from the polymerase to the exonuclease site. Key terms: DNA proofreading, DNA polymerase ε, PCNA, cryo-EM, replication fidelity.
 Study Highlights:Using cryo-EM of Polε–PCNA complexes with a mismatch made in situ, the authors captured three distinct proofreading intermediates (mismatch-locking, Pol-backtracking, and mismatch-editing). A preexisting mismatched T/P could not access the exo site when PCNA was engaged, showing PCNA imposes steric constraints on DNA movement. Proofreading proceeds with unwinding of six base pairs, template scrunching that forms out-of-register base pairs, and sustained Polε–PCNA association during transfer of the 3′ primer end to the exo site.
 Conclusion:The study defines a PCNA-constrained, processive proofreading pathway for human Polε involving 6-bp unwinding and out-of-register base pairing; disruptions of Polε–PCNA interactions or exonuclease function could alter replication fidelity and contribute to mutagenesis.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The proofreading mechanism of the human leading-strand DNA polymerase ε holoenzyme
 First author:Wang F
 Journal:PNAS
 DOI:10.1073/pnas.2507232122
 Reference:Wang F., He Q., O'Donnell M.E., Li H. The proofreading mechanism of the human leading-strand DNA polymerase ε holoenzyme. PNAS. 2025;122:e2507232122. doi:10.1073/pnas.2507232122
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/pol-epsilon-proofreading-pnas-2025
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-12.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing the Polε–PCNA proofreading mechanism, in situ mismatch strategy, the three intermediates (mismatch-locking, backtracking, editing), the 6 bp unwinding/scrunching, structural roles (P-domain, thumb, linker), Pro286 wedge, and cancer-relevant mutations; plus implications and fut- transcript topics: Polε–PCNA proofreading mechanism; In situ mismatch generation and cryo-EM capture; Three proofreading intermediates; 6 bp unwinding and DNA scrunching; Role of P-domain, thumb, and linker helix; Pro286 wedge and cancer mutations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Polε–PCNA holoenzyme proofreading mechanism with in situ mismatch- Preexisting mismatches blocked from entering exo site when PCNA is engaged- Three proofreading intermediates observed: mismatch-locking, Pol-backtracking, mismatch-editing- 6 bp unwinding of template/primer during proofreading- Primer 3′-end translocates ~15 Å to reach the exo site- P-domain and linker-helix movements...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107567/c1a-p6xp7-pknj37mpa69w-wpbnhv.png"></itunes:image>
                                                                            <itunes:duration>00:19:02</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[43: Population heterogeneity, insulin sensitivity, proteome & signaling mapping]]>
                </title>
                <pubDate>Wed, 11 Jun 2025 09:14:27 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    ffc78c6d-e20c-4a5a-a718-3cbf94c2a9a1</guid>
                                    <link>https://basebybase.castos.com/episodes/population-heterogeneity-insulin-proteome-signaling-mapping</link>
                                <description>
                                            <![CDATA[<p>Kjærgaard J et al., Cell - This episode reviews a study that links in vivo insulin sensitivity phenotyping with proteome and signaling-pathway mapping to define molecular-phenotype associations across heterogeneous populations. The paper emphasizes population heterogeneity and maps proteomic signatures to functional signaling pathways associated with insulin sensitivity. Key terms: population heterogeneity, insulin sensitivity, proteome mapping, signaling pathways, molecular-phenotype association.</p>
<p> Study Highlights:<br />The study performs in vivo insulin sensitivity phenotyping alongside proteome mapping and signaling pathway mapping to characterize molecular-phenotype associations. It highlights population heterogeneity as a central feature influencing phenotype–molecular links. The authors present maps connecting proteomic signatures and signaling pathways to variation in insulin sensitivity across cohorts.</p>
<p> Conclusion:<br />Proteome and signaling-pathway mapping integrated with in vivo insulin sensitivity phenotyping reveals molecular-phenotype associations and underscores population heterogeneity.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Personalized molecular signatures of insulin resistance and type 2 diabetes</p>
<p> First author:<br />Kjærgaard J</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.05.005</p>
<p> Reference:<br />Kjærgaard J., Stocks B., Henderson J., Freemantle J.B., Rizo-Roca D., Puglia M., et al.. Personalized molecular signatures of insulin resistance and type 2 diabetes. Cell, 188, 4106-4122.e16. (2025). https://doi.org/10.1016/j.cell.2025.05.005</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/population-heterogeneity-insulin-proteome-signaling-mapping</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript's core scientific narrative: insulin resistance in skeletal muscle, clamp methodology, proteomics/phosphoproteomics mapping, continuous molecular signatures vs binary labels, baseline proteome predictive power, LDHA/LDHB dynamics, S65 AMPK gamma3 phosphorylation, JNK-P38 stress signa<br />- transcript topics: Skeletal muscle insulin resistance paradox and continuous phenotype spectrum; Hyperinsulinemic-euglycemic clamp methodology and M value; DIA-based proteomics and phosphorylation mapping (proteome &gt;3000 proteins; ~29000 phosphosites); Baseline (fasting) proteome as predictor of insulin sensitivity; LDHA/LDHB glycolytic vs oxidative enzyme balance; S65 phosphorylation on AMPK gamma 3 as a predictor and human-specific site; pig mutation context</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Discovery and validation cohorts: 77 and 46 participants respectively<br />- Hyperinsulinemic-euglycemic clamp used to measure insulin resistance; M value derived<br />- Continuous molecular spectrum that correlates with M value, not...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kjærgaard J et al., Cell - This episode reviews a study that links in vivo insulin sensitivity phenotyping with proteome and signaling-pathway mapping to define molecular-phenotype associations across heterogeneous populations. The paper emphasizes population heterogeneity and maps proteomic signatures to functional signaling pathways associated with insulin sensitivity. Key terms: population heterogeneity, insulin sensitivity, proteome mapping, signaling pathways, molecular-phenotype association.
 Study Highlights:The study performs in vivo insulin sensitivity phenotyping alongside proteome mapping and signaling pathway mapping to characterize molecular-phenotype associations. It highlights population heterogeneity as a central feature influencing phenotype–molecular links. The authors present maps connecting proteomic signatures and signaling pathways to variation in insulin sensitivity across cohorts.
 Conclusion:Proteome and signaling-pathway mapping integrated with in vivo insulin sensitivity phenotyping reveals molecular-phenotype associations and underscores population heterogeneity.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Personalized molecular signatures of insulin resistance and type 2 diabetes
 First author:Kjærgaard J
 Journal:Cell
 DOI:10.1016/j.cell.2025.05.005
 Reference:Kjærgaard J., Stocks B., Henderson J., Freemantle J.B., Rizo-Roca D., Puglia M., et al.. Personalized molecular signatures of insulin resistance and type 2 diabetes. Cell, 188, 4106-4122.e16. (2025). https://doi.org/10.1016/j.cell.2025.05.005
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/population-heterogeneity-insulin-proteome-signaling-mapping
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript's core scientific narrative: insulin resistance in skeletal muscle, clamp methodology, proteomics/phosphoproteomics mapping, continuous molecular signatures vs binary labels, baseline proteome predictive power, LDHA/LDHB dynamics, S65 AMPK gamma3 phosphorylation, JNK-P38 stress signa- transcript topics: Skeletal muscle insulin resistance paradox and continuous phenotype spectrum; Hyperinsulinemic-euglycemic clamp methodology and M value; DIA-based proteomics and phosphorylation mapping (proteome >3000 proteins; ~29000 phosphosites); Baseline (fasting) proteome as predictor of insulin sensitivity; LDHA/LDHB glycolytic vs oxidative enzyme balance; S65 phosphorylation on AMPK gamma 3 as a predictor and human-specific site; pig mutation context
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Discovery and validation cohorts: 77 and 46 participants respectively- Hyperinsulinemic-euglycemic clamp used to measure insulin resistance; M value derived- Continuous molecular spectrum that correlates with M value, not...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[43: Population heterogeneity, insulin sensitivity, proteome & signaling mapping]]>
                </itunes:title>
                                    <itunes:episode>43</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kjærgaard J et al., Cell - This episode reviews a study that links in vivo insulin sensitivity phenotyping with proteome and signaling-pathway mapping to define molecular-phenotype associations across heterogeneous populations. The paper emphasizes population heterogeneity and maps proteomic signatures to functional signaling pathways associated with insulin sensitivity. Key terms: population heterogeneity, insulin sensitivity, proteome mapping, signaling pathways, molecular-phenotype association.</p>
<p> Study Highlights:<br />The study performs in vivo insulin sensitivity phenotyping alongside proteome mapping and signaling pathway mapping to characterize molecular-phenotype associations. It highlights population heterogeneity as a central feature influencing phenotype–molecular links. The authors present maps connecting proteomic signatures and signaling pathways to variation in insulin sensitivity across cohorts.</p>
<p> Conclusion:<br />Proteome and signaling-pathway mapping integrated with in vivo insulin sensitivity phenotyping reveals molecular-phenotype associations and underscores population heterogeneity.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Personalized molecular signatures of insulin resistance and type 2 diabetes</p>
<p> First author:<br />Kjærgaard J</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.05.005</p>
<p> Reference:<br />Kjærgaard J., Stocks B., Henderson J., Freemantle J.B., Rizo-Roca D., Puglia M., et al.. Personalized molecular signatures of insulin resistance and type 2 diabetes. Cell, 188, 4106-4122.e16. (2025). https://doi.org/10.1016/j.cell.2025.05.005</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/population-heterogeneity-insulin-proteome-signaling-mapping</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript's core scientific narrative: insulin resistance in skeletal muscle, clamp methodology, proteomics/phosphoproteomics mapping, continuous molecular signatures vs binary labels, baseline proteome predictive power, LDHA/LDHB dynamics, S65 AMPK gamma3 phosphorylation, JNK-P38 stress signa<br />- transcript topics: Skeletal muscle insulin resistance paradox and continuous phenotype spectrum; Hyperinsulinemic-euglycemic clamp methodology and M value; DIA-based proteomics and phosphorylation mapping (proteome &gt;3000 proteins; ~29000 phosphosites); Baseline (fasting) proteome as predictor of insulin sensitivity; LDHA/LDHB glycolytic vs oxidative enzyme balance; S65 phosphorylation on AMPK gamma 3 as a predictor and human-specific site; pig mutation context</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Discovery and validation cohorts: 77 and 46 participants respectively<br />- Hyperinsulinemic-euglycemic clamp used to measure insulin resistance; M value derived<br />- Continuous molecular spectrum that correlates with M value, not binary diabetic vs. healthy labels<br />- Baseline fasting muscle proteome predicts whole-body insulin sensitivity, outperforming HbA1c<br />- &gt;3,000 distinct muscle proteins mapped; ~29,000 phosphorylation sites quantified<br />- LDHA/LDHB protein ratio correlates with insulin resistance (glycolytic vs oxidative bias)</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Kjærgaard J et al., Cell - This episode reviews a study that links in vivo insulin sensitivity phenotyping with proteome and signaling-pathway mapping to define molecular-phenotype associations across heterogeneous populations. The paper emphasizes population heterogeneity and maps proteomic signatures to functional signaling pathways associated with insulin sensitivity. Key terms: population heterogeneity, insulin sensitivity, proteome mapping, signaling pathways, molecular-phenotype association.
 Study Highlights:The study performs in vivo insulin sensitivity phenotyping alongside proteome mapping and signaling pathway mapping to characterize molecular-phenotype associations. It highlights population heterogeneity as a central feature influencing phenotype–molecular links. The authors present maps connecting proteomic signatures and signaling pathways to variation in insulin sensitivity across cohorts.
 Conclusion:Proteome and signaling-pathway mapping integrated with in vivo insulin sensitivity phenotyping reveals molecular-phenotype associations and underscores population heterogeneity.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Personalized molecular signatures of insulin resistance and type 2 diabetes
 First author:Kjærgaard J
 Journal:Cell
 DOI:10.1016/j.cell.2025.05.005
 Reference:Kjærgaard J., Stocks B., Henderson J., Freemantle J.B., Rizo-Roca D., Puglia M., et al.. Personalized molecular signatures of insulin resistance and type 2 diabetes. Cell, 188, 4106-4122.e16. (2025). https://doi.org/10.1016/j.cell.2025.05.005
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/population-heterogeneity-insulin-proteome-signaling-mapping
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript's core scientific narrative: insulin resistance in skeletal muscle, clamp methodology, proteomics/phosphoproteomics mapping, continuous molecular signatures vs binary labels, baseline proteome predictive power, LDHA/LDHB dynamics, S65 AMPK gamma3 phosphorylation, JNK-P38 stress signa- transcript topics: Skeletal muscle insulin resistance paradox and continuous phenotype spectrum; Hyperinsulinemic-euglycemic clamp methodology and M value; DIA-based proteomics and phosphorylation mapping (proteome >3000 proteins; ~29000 phosphosites); Baseline (fasting) proteome as predictor of insulin sensitivity; LDHA/LDHB glycolytic vs oxidative enzyme balance; S65 phosphorylation on AMPK gamma 3 as a predictor and human-specific site; pig mutation context
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Discovery and validation cohorts: 77 and 46 participants respectively- Hyperinsulinemic-euglycemic clamp used to measure insulin resistance; M value derived- Continuous molecular spectrum that correlates with M value, not...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107568/c1a-p6xp7-47415nqwu7j0-dnawkq.png"></itunes:image>
                                                                            <itunes:duration>00:19:33</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[42: Amino acids catalyse RNA formation under ambient alkaline conditions]]>
                </title>
                <pubDate>Wed, 11 Jun 2025 02:16:58 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    8d0a52f6-5a5b-425c-8c43-4984d4a4fa26</guid>
                                    <link>https://basebybase.castos.com/episodes/amino-acids-catalyse-rna-formation</link>
                                <description>
                                            <![CDATA[<p>Rout SK et al., Nature Communications - A Nature Communications study shows that proteinogenic amino acids accelerate non-enzymatic RNA oligomerisation from ribonucleoside-2',3'-cyclic phosphates under dry alkaline conditions at ambient temperature, increasing yields, sequence diversity and the fraction of natural 3'-5' linkages. Key terms: RNA polymerisation, amino acids, prebiotic chemistry, 2',3'-cyclic phosphates, acid-base catalysis.</p>
<p> Study Highlights:<br />Amino acids catalyse RNA copolymerisation from ribonucleoside-2',3'-cyclic phosphates under dry alkaline conditions, increasing yields by more than 100-fold for some nucleotides. Catalysis peaks near pH 9–10, close to the amine pKa, consistent with an acid–base mechanism in which amine/ammonium pairs facilitate proton transfer during transphosphorylation. Hydrophobic amino acids (Val, Leu, Ile) produced the largest enhancements, reduced the intrinsic G-bias, and increased the fraction of natural 3'-5' linkages and activated 2',3'-cyclic phosphate termini. Molecular dynamics and quantum calculations support preferential amino-acid localisation near phosphate groups to enable the catalytic effect.</p>
<p> Conclusion:<br />Amino acids can plausibly have played a direct catalytic role in early Earth chemistry by promoting the formation of diverse, replication-capable RNA pools under mild alkaline drying conditions, linking peptides and RNA earlier in chemical evolution than previously assumed.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Amino acids catalyse RNA formation under ambient alkaline conditions</p>
<p> First author:<br />Rout SK</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60359-3</p>
<p> Reference:<br />Rout SK, Wunnava S, Krepl M, Cassone G, Šponer JE, Mast CB, Powner MW &amp; Braun D. Amino acids catalyse RNA formation under ambient alkaline conditions. Nature Communications (2025). doi:10.1038/s41467-025-60359-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/amino-acids-catalyse-rna-formation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific content: dry-state RNA oligomerisation catalysed by amino acids, acid-base mechanism, pH dependence, base distribution, linkage fidelity, and the broader implications for early biogenesis.<br />- transcript topics: Dry-state RNA oligomerisation with amino acids; Acid-base catalysis and pH dependence around amino acid pKa; Hydrophobic amino acids localising near phosphate center; Nucleobase composition shifts (G/C/A/U) and reduced G-bias; Formation and retention of 3'-5' canonical linkages; Recycling of hydrolysis products to active 2',3'-cyclic phosphates</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Amino acids catalyse RNA oligomerisation under dry-state alkaline conditions, yielding &gt;100-fold increases.<br />- Catalysis shows an opti...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Rout SK et al., Nature Communications - A Nature Communications study shows that proteinogenic amino acids accelerate non-enzymatic RNA oligomerisation from ribonucleoside-2',3'-cyclic phosphates under dry alkaline conditions at ambient temperature, increasing yields, sequence diversity and the fraction of natural 3'-5' linkages. Key terms: RNA polymerisation, amino acids, prebiotic chemistry, 2',3'-cyclic phosphates, acid-base catalysis.
 Study Highlights:Amino acids catalyse RNA copolymerisation from ribonucleoside-2',3'-cyclic phosphates under dry alkaline conditions, increasing yields by more than 100-fold for some nucleotides. Catalysis peaks near pH 9–10, close to the amine pKa, consistent with an acid–base mechanism in which amine/ammonium pairs facilitate proton transfer during transphosphorylation. Hydrophobic amino acids (Val, Leu, Ile) produced the largest enhancements, reduced the intrinsic G-bias, and increased the fraction of natural 3'-5' linkages and activated 2',3'-cyclic phosphate termini. Molecular dynamics and quantum calculations support preferential amino-acid localisation near phosphate groups to enable the catalytic effect.
 Conclusion:Amino acids can plausibly have played a direct catalytic role in early Earth chemistry by promoting the formation of diverse, replication-capable RNA pools under mild alkaline drying conditions, linking peptides and RNA earlier in chemical evolution than previously assumed.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Amino acids catalyse RNA formation under ambient alkaline conditions
 First author:Rout SK
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60359-3
 Reference:Rout SK, Wunnava S, Krepl M, Cassone G, Šponer JE, Mast CB, Powner MW & Braun D. Amino acids catalyse RNA formation under ambient alkaline conditions. Nature Communications (2025). doi:10.1038/s41467-025-60359-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/amino-acids-catalyse-rna-formation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific content: dry-state RNA oligomerisation catalysed by amino acids, acid-base mechanism, pH dependence, base distribution, linkage fidelity, and the broader implications for early biogenesis.- transcript topics: Dry-state RNA oligomerisation with amino acids; Acid-base catalysis and pH dependence around amino acid pKa; Hydrophobic amino acids localising near phosphate center; Nucleobase composition shifts (G/C/A/U) and reduced G-bias; Formation and retention of 3'-5' canonical linkages; Recycling of hydrolysis products to active 2',3'-cyclic phosphates
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Amino acids catalyse RNA oligomerisation under dry-state alkaline conditions, yielding >100-fold increases.- Catalysis shows an opti...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[42: Amino acids catalyse RNA formation under ambient alkaline conditions]]>
                </itunes:title>
                                    <itunes:episode>42</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Rout SK et al., Nature Communications - A Nature Communications study shows that proteinogenic amino acids accelerate non-enzymatic RNA oligomerisation from ribonucleoside-2',3'-cyclic phosphates under dry alkaline conditions at ambient temperature, increasing yields, sequence diversity and the fraction of natural 3'-5' linkages. Key terms: RNA polymerisation, amino acids, prebiotic chemistry, 2',3'-cyclic phosphates, acid-base catalysis.</p>
<p> Study Highlights:<br />Amino acids catalyse RNA copolymerisation from ribonucleoside-2',3'-cyclic phosphates under dry alkaline conditions, increasing yields by more than 100-fold for some nucleotides. Catalysis peaks near pH 9–10, close to the amine pKa, consistent with an acid–base mechanism in which amine/ammonium pairs facilitate proton transfer during transphosphorylation. Hydrophobic amino acids (Val, Leu, Ile) produced the largest enhancements, reduced the intrinsic G-bias, and increased the fraction of natural 3'-5' linkages and activated 2',3'-cyclic phosphate termini. Molecular dynamics and quantum calculations support preferential amino-acid localisation near phosphate groups to enable the catalytic effect.</p>
<p> Conclusion:<br />Amino acids can plausibly have played a direct catalytic role in early Earth chemistry by promoting the formation of diverse, replication-capable RNA pools under mild alkaline drying conditions, linking peptides and RNA earlier in chemical evolution than previously assumed.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Amino acids catalyse RNA formation under ambient alkaline conditions</p>
<p> First author:<br />Rout SK</p>
<p> Journal:<br />Nature Communications</p>
<p> DOI:<br />10.1038/s41467-025-60359-3</p>
<p> Reference:<br />Rout SK, Wunnava S, Krepl M, Cassone G, Šponer JE, Mast CB, Powner MW &amp; Braun D. Amino acids catalyse RNA formation under ambient alkaline conditions. Nature Communications (2025). doi:10.1038/s41467-025-60359-3</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/amino-acids-catalyse-rna-formation</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-11.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the core scientific content: dry-state RNA oligomerisation catalysed by amino acids, acid-base mechanism, pH dependence, base distribution, linkage fidelity, and the broader implications for early biogenesis.<br />- transcript topics: Dry-state RNA oligomerisation with amino acids; Acid-base catalysis and pH dependence around amino acid pKa; Hydrophobic amino acids localising near phosphate center; Nucleobase composition shifts (G/C/A/U) and reduced G-bias; Formation and retention of 3'-5' canonical linkages; Recycling of hydrolysis products to active 2',3'-cyclic phosphates</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Amino acids catalyse RNA oligomerisation under dry-state alkaline conditions, yielding &gt;100-fold increases.<br />- Catalysis shows an optimum near pH 9–10, consistent with amino acid pKaH.<br />- Hydrophobic amino acids (Val, Leu, Ile) provide strongest enhancement and reduce G-bias.<br />- Amino acid presence increases fraction of canonical 3'-5' linkages to about 58–66%.<br />- Oligomers retain activated 2',3'-cyclic phosphate termini favorable for templated ligation.<br />- Mg2+ is not required for the observed polymerisation; the system relies on dry-state acid-base catalysis.</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Rout SK et al., Nature Communications - A Nature Communications study shows that proteinogenic amino acids accelerate non-enzymatic RNA oligomerisation from ribonucleoside-2',3'-cyclic phosphates under dry alkaline conditions at ambient temperature, increasing yields, sequence diversity and the fraction of natural 3'-5' linkages. Key terms: RNA polymerisation, amino acids, prebiotic chemistry, 2',3'-cyclic phosphates, acid-base catalysis.
 Study Highlights:Amino acids catalyse RNA copolymerisation from ribonucleoside-2',3'-cyclic phosphates under dry alkaline conditions, increasing yields by more than 100-fold for some nucleotides. Catalysis peaks near pH 9–10, close to the amine pKa, consistent with an acid–base mechanism in which amine/ammonium pairs facilitate proton transfer during transphosphorylation. Hydrophobic amino acids (Val, Leu, Ile) produced the largest enhancements, reduced the intrinsic G-bias, and increased the fraction of natural 3'-5' linkages and activated 2',3'-cyclic phosphate termini. Molecular dynamics and quantum calculations support preferential amino-acid localisation near phosphate groups to enable the catalytic effect.
 Conclusion:Amino acids can plausibly have played a direct catalytic role in early Earth chemistry by promoting the formation of diverse, replication-capable RNA pools under mild alkaline drying conditions, linking peptides and RNA earlier in chemical evolution than previously assumed.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Amino acids catalyse RNA formation under ambient alkaline conditions
 First author:Rout SK
 Journal:Nature Communications
 DOI:10.1038/s41467-025-60359-3
 Reference:Rout SK, Wunnava S, Krepl M, Cassone G, Šponer JE, Mast CB, Powner MW & Braun D. Amino acids catalyse RNA formation under ambient alkaline conditions. Nature Communications (2025). doi:10.1038/s41467-025-60359-3
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/amino-acids-catalyse-rna-formation
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-11.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the core scientific content: dry-state RNA oligomerisation catalysed by amino acids, acid-base mechanism, pH dependence, base distribution, linkage fidelity, and the broader implications for early biogenesis.- transcript topics: Dry-state RNA oligomerisation with amino acids; Acid-base catalysis and pH dependence around amino acid pKa; Hydrophobic amino acids localising near phosphate center; Nucleobase composition shifts (G/C/A/U) and reduced G-bias; Formation and retention of 3'-5' canonical linkages; Recycling of hydrolysis products to active 2',3'-cyclic phosphates
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Amino acids catalyse RNA oligomerisation under dry-state alkaline conditions, yielding >100-fold increases.- Catalysis shows an opti...]]>
                </itunes:summary>
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                                                                            <itunes:duration>00:23:35</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[41: Valuing Genomic Newborn Screening: Australian Public Preferences]]>
                </title>
                <pubDate>Tue, 10 Jun 2025 01:41:56 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    8180b153-bcaf-49e4-8082-30c314fe3c75</guid>
                                    <link>https://basebybase.castos.com/episodes/gnbs-public-preferences-australia</link>
                                <description>
                                            <![CDATA[<p>Peters R et al., The American Journal of Human Genetics - This episode reviews a nationwide survey of 2,509 Australian adults using two discrete choice experiments to quantify public preferences and the monetary value placed on genomic newborn screening (gNBS), and to identify preferred implementation features such as consent model and result delivery. Key terms: genomic newborn screening, discrete choice experiment, public preferences, health policy, Australia.</p>
<p> Study Highlights:<br />Two discrete choice experiments with 2,509 Australian participants reveal a broad public preference for gNBS, with cost identified as the strongest influence on uptake. Higher accuracy and more additional diagnoses increase public utility, but including conditions with limited or no treatments and reduced penetrance reduces value. The public values a gNBS program that yields 10–50 additional diagnoses per 1,000 newborns at AU$4,600–5,700 per newborn for restrictive models. Most respondents preferred an opt-in consent model and favored initial information from GPs or obstetricians and high-chance results returned by genetics professionals.</p>
<p> Conclusion:<br />Australian public preferences support implementation of gNBS if programs balance cost, accuracy, and condition selection, and if service delivery prioritizes trusted clinicians and genetics professionals for complex results; findings should inform economic evaluations and implementation planning.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Public preferences for the value and implementation of genomic newborn screening: Insights from two discrete choice experiments in Australia</p>
<p> First author:<br />Peters R</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.05.001</p>
<p> Reference:<br />Peters R., Best S., Lynch F., et al. Public preferences for the value and implementation of genomic newborn screening: Insights from two discrete choice experiments in Australia. The American Journal of Human Genetics. 112:1–13, July 3, 2025. https://doi.org/10.1016/j.ajhg.2025.05.001</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/gnbs-public-preferences-australia</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and quantitative results described in the transcript: public interest and uptake, cost as a driver, monetary valuation for restrictive vs non-restrictive gNBS, four latent classes, implementation preferences (delivery and return of results), and policy/workforce implications.<br />- transcript topics: Genomic newborn screening concept and ethical considerations; Discrete choice experiments (DCE) methodology and latent class analysis; Public value results: uptake, trade-offs, and monetary valuation; Implementation preferences: who informs and who returns results, delivery modes; Policy implications: workforce training and service-delivery models; Study limitations and design considerations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues fou...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Peters R et al., The American Journal of Human Genetics - This episode reviews a nationwide survey of 2,509 Australian adults using two discrete choice experiments to quantify public preferences and the monetary value placed on genomic newborn screening (gNBS), and to identify preferred implementation features such as consent model and result delivery. Key terms: genomic newborn screening, discrete choice experiment, public preferences, health policy, Australia.
 Study Highlights:Two discrete choice experiments with 2,509 Australian participants reveal a broad public preference for gNBS, with cost identified as the strongest influence on uptake. Higher accuracy and more additional diagnoses increase public utility, but including conditions with limited or no treatments and reduced penetrance reduces value. The public values a gNBS program that yields 10–50 additional diagnoses per 1,000 newborns at AU$4,600–5,700 per newborn for restrictive models. Most respondents preferred an opt-in consent model and favored initial information from GPs or obstetricians and high-chance results returned by genetics professionals.
 Conclusion:Australian public preferences support implementation of gNBS if programs balance cost, accuracy, and condition selection, and if service delivery prioritizes trusted clinicians and genetics professionals for complex results; findings should inform economic evaluations and implementation planning.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Public preferences for the value and implementation of genomic newborn screening: Insights from two discrete choice experiments in Australia
 First author:Peters R
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.05.001
 Reference:Peters R., Best S., Lynch F., et al. Public preferences for the value and implementation of genomic newborn screening: Insights from two discrete choice experiments in Australia. The American Journal of Human Genetics. 112:1–13, July 3, 2025. https://doi.org/10.1016/j.ajhg.2025.05.001
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/gnbs-public-preferences-australia
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and quantitative results described in the transcript: public interest and uptake, cost as a driver, monetary valuation for restrictive vs non-restrictive gNBS, four latent classes, implementation preferences (delivery and return of results), and policy/workforce implications.- transcript topics: Genomic newborn screening concept and ethical considerations; Discrete choice experiments (DCE) methodology and latent class analysis; Public value results: uptake, trade-offs, and monetary valuation; Implementation preferences: who informs and who returns results, delivery modes; Policy implications: workforce training and service-delivery models; Study limitations and design considerations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues fou...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[41: Valuing Genomic Newborn Screening: Australian Public Preferences]]>
                </itunes:title>
                                    <itunes:episode>41</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Peters R et al., The American Journal of Human Genetics - This episode reviews a nationwide survey of 2,509 Australian adults using two discrete choice experiments to quantify public preferences and the monetary value placed on genomic newborn screening (gNBS), and to identify preferred implementation features such as consent model and result delivery. Key terms: genomic newborn screening, discrete choice experiment, public preferences, health policy, Australia.</p>
<p> Study Highlights:<br />Two discrete choice experiments with 2,509 Australian participants reveal a broad public preference for gNBS, with cost identified as the strongest influence on uptake. Higher accuracy and more additional diagnoses increase public utility, but including conditions with limited or no treatments and reduced penetrance reduces value. The public values a gNBS program that yields 10–50 additional diagnoses per 1,000 newborns at AU$4,600–5,700 per newborn for restrictive models. Most respondents preferred an opt-in consent model and favored initial information from GPs or obstetricians and high-chance results returned by genetics professionals.</p>
<p> Conclusion:<br />Australian public preferences support implementation of gNBS if programs balance cost, accuracy, and condition selection, and if service delivery prioritizes trusted clinicians and genetics professionals for complex results; findings should inform economic evaluations and implementation planning.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Public preferences for the value and implementation of genomic newborn screening: Insights from two discrete choice experiments in Australia</p>
<p> First author:<br />Peters R</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.05.001</p>
<p> Reference:<br />Peters R., Best S., Lynch F., et al. Public preferences for the value and implementation of genomic newborn screening: Insights from two discrete choice experiments in Australia. The American Journal of Human Genetics. 112:1–13, July 3, 2025. https://doi.org/10.1016/j.ajhg.2025.05.001</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/gnbs-public-preferences-australia</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-10.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and quantitative results described in the transcript: public interest and uptake, cost as a driver, monetary valuation for restrictive vs non-restrictive gNBS, four latent classes, implementation preferences (delivery and return of results), and policy/workforce implications.<br />- transcript topics: Genomic newborn screening concept and ethical considerations; Discrete choice experiments (DCE) methodology and latent class analysis; Public value results: uptake, trade-offs, and monetary valuation; Implementation preferences: who informs and who returns results, delivery modes; Policy implications: workforce training and service-delivery models; Study limitations and design considerations</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Public interest in gNBS (~90%) and uptake (&gt;87%)<br />- Cost is the primary driver of uptake<br />- Monetary value: AU$4,600–5,700 per newborn for 10–50 additional diagnoses per 1,000 (restrictive); AU$5,400 per newborn for non-restrictive<br />- Four latent classes with proportions: Class1 ~13%, Class2 ~28%, Class3 ~42%, Class4 ~17%</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Peters R et al., The American Journal of Human Genetics - This episode reviews a nationwide survey of 2,509 Australian adults using two discrete choice experiments to quantify public preferences and the monetary value placed on genomic newborn screening (gNBS), and to identify preferred implementation features such as consent model and result delivery. Key terms: genomic newborn screening, discrete choice experiment, public preferences, health policy, Australia.
 Study Highlights:Two discrete choice experiments with 2,509 Australian participants reveal a broad public preference for gNBS, with cost identified as the strongest influence on uptake. Higher accuracy and more additional diagnoses increase public utility, but including conditions with limited or no treatments and reduced penetrance reduces value. The public values a gNBS program that yields 10–50 additional diagnoses per 1,000 newborns at AU$4,600–5,700 per newborn for restrictive models. Most respondents preferred an opt-in consent model and favored initial information from GPs or obstetricians and high-chance results returned by genetics professionals.
 Conclusion:Australian public preferences support implementation of gNBS if programs balance cost, accuracy, and condition selection, and if service delivery prioritizes trusted clinicians and genetics professionals for complex results; findings should inform economic evaluations and implementation planning.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Public preferences for the value and implementation of genomic newborn screening: Insights from two discrete choice experiments in Australia
 First author:Peters R
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.05.001
 Reference:Peters R., Best S., Lynch F., et al. Public preferences for the value and implementation of genomic newborn screening: Insights from two discrete choice experiments in Australia. The American Journal of Human Genetics. 112:1–13, July 3, 2025. https://doi.org/10.1016/j.ajhg.2025.05.001
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/gnbs-public-preferences-australia
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-10.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and quantitative results described in the transcript: public interest and uptake, cost as a driver, monetary valuation for restrictive vs non-restrictive gNBS, four latent classes, implementation preferences (delivery and return of results), and policy/workforce implications.- transcript topics: Genomic newborn screening concept and ethical considerations; Discrete choice experiments (DCE) methodology and latent class analysis; Public value results: uptake, trade-offs, and monetary valuation; Implementation preferences: who informs and who returns results, delivery modes; Policy implications: workforce training and service-delivery models; Study limitations and design considerations
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues fou...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107570/c1a-p6xp7-7z8kd1m1f746-sltck9.png"></itunes:image>
                                                                            <itunes:duration>00:18:43</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[40: Lysosomal SLC7A11 and acidification]]>
                </title>
                <pubDate>Mon, 09 Jun 2025 09:17:31 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    2b2115e1-0fb5-40e8-b551-3a9835a991cf</guid>
                                    <link>https://basebybase.castos.com/episodes/base-by-base-40-slc7a11-lysosomes</link>
                                <description>
                                            <![CDATA[<p>Provided PDF (truncated source text) et al., Cell - This episode reviews a study that examines SLC7A11 (7A11) localization to lysosomes and its impact on lysosomal acidification, cystine/cysteine balance, lysosomal function, and cell viability using genetic and pharmacologic tools and isolated lysosome assays. Key terms: SLC7A11, lysosome, lysosomal pH, cystine, ferroptosis.</p>
<p> Study Highlights:<br />The authors localize SLC7A11/7A11 to lysosomes (LAMP1 colocalization, tagged knock‑ins/overexpression) and measure juxta‑lysosomal pH changes with genetically encoded and dye‑based pH reporters. Loss, inhibition, or mutation of 7A11 alters lysosomal acidification, cystine/cysteine handling and downstream readouts including cathepsin activity, lipid peroxidation markers, and cell viability under ferroptosis‑related perturbations. Experiments include isolated lysosome assays, pharmacologic modulators (erastin, RSL3, bafilomycin, chloroquine, ferrostatin‑1), multiple cell lines (HT1080, HeLa, HAP1, MEFs), and analyses of patient‑derived neurons from PD cohorts.</p>
<p> Conclusion:<br />SLC7A11 associates with lysosomes and modulates lysosomal pH and amino‑acid flux; altering its function changes lysosomal enzyme activity and cellular stress responses in experimental models, suggesting lysosomal amino‑acid handling is an important regulator of lysosomal physiology.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />SLC7A11 is an unconventional H+ transporter in lysosomes</p>
<p> First author:<br />Provided PDF (truncated source text)</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.04.004</p>
<p> Reference:<br />Provided PDF (truncated source text)</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-40-slc7a11-lysosomes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive content describing lysosomal localization of SLC7A11, the proposed H+ shuttle/vent mechanism, the pH change from ~4.6 to ~4.2 upon valve disruption, downstream lysosomal dysfunction and ferroptosis, chloroquine rescue at low dose, AAS trafficking mutation validation, and Parkinson's disease relevanc<br />- transcript topics: Lysosomal localization of SLC7A11 and LAMP1 colocalization; Proton shuttle mechanism and lysosomal H+ leak; Effect of SLC7A11 loss on lysosomal pH and enzyme activity; Lipofuscin accumulation and ferroptosis in neurons; Chloroquine low-dose rescue of lysosomal pH and ferroptosis; AAS trafficking mutation confirms lysosomal localization</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- SLC7A11 localizes to lysosomes and colocalizes with LAMP1<br />- SLC7A11 modulates lysosomal juxta‑lysosomal pH via a proton shuttle mechanism<br />- Loss/inhibition of SLC7A11 leads to lysosomal overacidification and dysfunction (pH ~4.2; enzymes impaired; lipofuscin accumulation; ferroptosis)<br />- Low-dose chloroqu...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Provided PDF (truncated source text) et al., Cell - This episode reviews a study that examines SLC7A11 (7A11) localization to lysosomes and its impact on lysosomal acidification, cystine/cysteine balance, lysosomal function, and cell viability using genetic and pharmacologic tools and isolated lysosome assays. Key terms: SLC7A11, lysosome, lysosomal pH, cystine, ferroptosis.
 Study Highlights:The authors localize SLC7A11/7A11 to lysosomes (LAMP1 colocalization, tagged knock‑ins/overexpression) and measure juxta‑lysosomal pH changes with genetically encoded and dye‑based pH reporters. Loss, inhibition, or mutation of 7A11 alters lysosomal acidification, cystine/cysteine handling and downstream readouts including cathepsin activity, lipid peroxidation markers, and cell viability under ferroptosis‑related perturbations. Experiments include isolated lysosome assays, pharmacologic modulators (erastin, RSL3, bafilomycin, chloroquine, ferrostatin‑1), multiple cell lines (HT1080, HeLa, HAP1, MEFs), and analyses of patient‑derived neurons from PD cohorts.
 Conclusion:SLC7A11 associates with lysosomes and modulates lysosomal pH and amino‑acid flux; altering its function changes lysosomal enzyme activity and cellular stress responses in experimental models, suggesting lysosomal amino‑acid handling is an important regulator of lysosomal physiology.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:SLC7A11 is an unconventional H+ transporter in lysosomes
 First author:Provided PDF (truncated source text)
 Journal:Cell
 DOI:10.1016/j.cell.2025.04.004
 Reference:Provided PDF (truncated source text)
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-40-slc7a11-lysosomes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive content describing lysosomal localization of SLC7A11, the proposed H+ shuttle/vent mechanism, the pH change from ~4.6 to ~4.2 upon valve disruption, downstream lysosomal dysfunction and ferroptosis, chloroquine rescue at low dose, AAS trafficking mutation validation, and Parkinson's disease relevanc- transcript topics: Lysosomal localization of SLC7A11 and LAMP1 colocalization; Proton shuttle mechanism and lysosomal H+ leak; Effect of SLC7A11 loss on lysosomal pH and enzyme activity; Lipofuscin accumulation and ferroptosis in neurons; Chloroquine low-dose rescue of lysosomal pH and ferroptosis; AAS trafficking mutation confirms lysosomal localization
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- SLC7A11 localizes to lysosomes and colocalizes with LAMP1- SLC7A11 modulates lysosomal juxta‑lysosomal pH via a proton shuttle mechanism- Loss/inhibition of SLC7A11 leads to lysosomal overacidification and dysfunction (pH ~4.2; enzymes impaired; lipofuscin accumulation; ferroptosis)- Low-dose chloroqu...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[40: Lysosomal SLC7A11 and acidification]]>
                </itunes:title>
                                    <itunes:episode>40</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Provided PDF (truncated source text) et al., Cell - This episode reviews a study that examines SLC7A11 (7A11) localization to lysosomes and its impact on lysosomal acidification, cystine/cysteine balance, lysosomal function, and cell viability using genetic and pharmacologic tools and isolated lysosome assays. Key terms: SLC7A11, lysosome, lysosomal pH, cystine, ferroptosis.</p>
<p> Study Highlights:<br />The authors localize SLC7A11/7A11 to lysosomes (LAMP1 colocalization, tagged knock‑ins/overexpression) and measure juxta‑lysosomal pH changes with genetically encoded and dye‑based pH reporters. Loss, inhibition, or mutation of 7A11 alters lysosomal acidification, cystine/cysteine handling and downstream readouts including cathepsin activity, lipid peroxidation markers, and cell viability under ferroptosis‑related perturbations. Experiments include isolated lysosome assays, pharmacologic modulators (erastin, RSL3, bafilomycin, chloroquine, ferrostatin‑1), multiple cell lines (HT1080, HeLa, HAP1, MEFs), and analyses of patient‑derived neurons from PD cohorts.</p>
<p> Conclusion:<br />SLC7A11 associates with lysosomes and modulates lysosomal pH and amino‑acid flux; altering its function changes lysosomal enzyme activity and cellular stress responses in experimental models, suggesting lysosomal amino‑acid handling is an important regulator of lysosomal physiology.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />SLC7A11 is an unconventional H+ transporter in lysosomes</p>
<p> First author:<br />Provided PDF (truncated source text)</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.04.004</p>
<p> Reference:<br />Provided PDF (truncated source text)</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/base-by-base-40-slc7a11-lysosomes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-09.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited substantive content describing lysosomal localization of SLC7A11, the proposed H+ shuttle/vent mechanism, the pH change from ~4.6 to ~4.2 upon valve disruption, downstream lysosomal dysfunction and ferroptosis, chloroquine rescue at low dose, AAS trafficking mutation validation, and Parkinson's disease relevanc<br />- transcript topics: Lysosomal localization of SLC7A11 and LAMP1 colocalization; Proton shuttle mechanism and lysosomal H+ leak; Effect of SLC7A11 loss on lysosomal pH and enzyme activity; Lipofuscin accumulation and ferroptosis in neurons; Chloroquine low-dose rescue of lysosomal pH and ferroptosis; AAS trafficking mutation confirms lysosomal localization</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- SLC7A11 localizes to lysosomes and colocalizes with LAMP1<br />- SLC7A11 modulates lysosomal juxta‑lysosomal pH via a proton shuttle mechanism<br />- Loss/inhibition of SLC7A11 leads to lysosomal overacidification and dysfunction (pH ~4.2; enzymes impaired; lipofuscin accumulation; ferroptosis)<br />- Low-dose chloroquine (1 µM) buffers lysosomal pH from ~4.2 to ~4.6 and rescues lipofuscin accumulation and ferroptosis<br />- AAS trafficking mutation demonstrates lysosomal localization as the site of the proton leak<br />- Parkinson's disease relevance evidenced by alpha-synuclein aggregation and patient-derived neuronal models</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Provided PDF (truncated source text) et al., Cell - This episode reviews a study that examines SLC7A11 (7A11) localization to lysosomes and its impact on lysosomal acidification, cystine/cysteine balance, lysosomal function, and cell viability using genetic and pharmacologic tools and isolated lysosome assays. Key terms: SLC7A11, lysosome, lysosomal pH, cystine, ferroptosis.
 Study Highlights:The authors localize SLC7A11/7A11 to lysosomes (LAMP1 colocalization, tagged knock‑ins/overexpression) and measure juxta‑lysosomal pH changes with genetically encoded and dye‑based pH reporters. Loss, inhibition, or mutation of 7A11 alters lysosomal acidification, cystine/cysteine handling and downstream readouts including cathepsin activity, lipid peroxidation markers, and cell viability under ferroptosis‑related perturbations. Experiments include isolated lysosome assays, pharmacologic modulators (erastin, RSL3, bafilomycin, chloroquine, ferrostatin‑1), multiple cell lines (HT1080, HeLa, HAP1, MEFs), and analyses of patient‑derived neurons from PD cohorts.
 Conclusion:SLC7A11 associates with lysosomes and modulates lysosomal pH and amino‑acid flux; altering its function changes lysosomal enzyme activity and cellular stress responses in experimental models, suggesting lysosomal amino‑acid handling is an important regulator of lysosomal physiology.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:SLC7A11 is an unconventional H+ transporter in lysosomes
 First author:Provided PDF (truncated source text)
 Journal:Cell
 DOI:10.1016/j.cell.2025.04.004
 Reference:Provided PDF (truncated source text)
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/base-by-base-40-slc7a11-lysosomes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-09.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited substantive content describing lysosomal localization of SLC7A11, the proposed H+ shuttle/vent mechanism, the pH change from ~4.6 to ~4.2 upon valve disruption, downstream lysosomal dysfunction and ferroptosis, chloroquine rescue at low dose, AAS trafficking mutation validation, and Parkinson's disease relevanc- transcript topics: Lysosomal localization of SLC7A11 and LAMP1 colocalization; Proton shuttle mechanism and lysosomal H+ leak; Effect of SLC7A11 loss on lysosomal pH and enzyme activity; Lipofuscin accumulation and ferroptosis in neurons; Chloroquine low-dose rescue of lysosomal pH and ferroptosis; AAS trafficking mutation confirms lysosomal localization
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- SLC7A11 localizes to lysosomes and colocalizes with LAMP1- SLC7A11 modulates lysosomal juxta‑lysosomal pH via a proton shuttle mechanism- Loss/inhibition of SLC7A11 leads to lysosomal overacidification and dysfunction (pH ~4.2; enzymes impaired; lipofuscin accumulation; ferroptosis)- Low-dose chloroqu...]]>
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                                                                            <itunes:duration>00:17:43</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[39: Scaling whole-genome polygenic scores with VIPRS]]>
                </title>
                <pubDate>Sat, 07 Jun 2025 09:11:34 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    0be68e9f-0439-45bb-95c8-e9f58e2c1542</guid>
                                    <link>https://basebybase.castos.com/episodes/viprs-whole-genome-prs</link>
                                <description>
                                            <![CDATA[<p>Zabad S et al., The American Journal of Human Genetics - This episode covers Zabad et al.'s methods to scale summary-statistics-based polygenic risk score (PRS) inference to millions of variants. The authors introduce compressed LD storage, memory-efficient coordinate-ascent variational algorithms, and multi-level parallelism to cut storage, runtime, and RAM by orders of magnitude while retaining competitive prediction accuracy. Key terms: polygenic risk scores, linkage disequilibrium, variational inference, LD compression, VIPRS.</p>
<p> Study Highlights:<br />The authors design a compact LD-matrix format (CSR stored in Zarr with quantization) and algorithmic optimizations that reduce LD storage by over 50-fold. They reimplement coordinate-ascent variational updates in C/C++ using single-precision floats, triangular-LD updates, dequantize-on-the-fly, and two layers of parallelism to cut runtime and memory use by orders of magnitude. VIPRS v0.1 can run variational Bayesian regression on 1.1M HapMap3 variants in under a minute and converges genome wide on up to 18M variants in tens of minutes using &lt;15 GB RAM. The paper also analyzes spectral causes of numerical instability in LD matrices and gives practical recommendations to improve stability and prediction accuracy.</p>
<p> Conclusion:<br />The updated VIPRS toolkit enables fast, memory-efficient whole-genome PRS inference at biobank scale with competitive accuracy and provides storage formats and numerical safeguards to improve reproducibility and portability.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms</p>
<p> First author:<br />Zabad S</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.05.002</p>
<p> Reference:<br />Zabad S., Haryan C.A., Gravel S., Misra S., Li Y. (2025). Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms. The American Journal of Human Genetics 112, 1–19. https://doi.org/10.1016/j.ajhg.2025.05.002</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/viprs-whole-genome-prs</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's presentation of VIPRS architecture (LD storage, quantization, DQF, triangular LD), memory/performance benchmarks, parallelism, numerical stability guards, and cross-ancestry/cross-biobank findings against the original article.<br />- transcript topics: Polygenic risk scores and LD challenges; LD matrix compression via upper-triangular storage; CSR storage and Zarr cloud-native format; Quantization to int8/int16 and scale quantization; Dequantize-on-the-Fly (DQF) memory management; Coordinate ascent updates and OpenMP parallelism</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- LD matrix compression reduces storage by &gt;50-fold...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zabad S et al., The American Journal of Human Genetics - This episode covers Zabad et al.'s methods to scale summary-statistics-based polygenic risk score (PRS) inference to millions of variants. The authors introduce compressed LD storage, memory-efficient coordinate-ascent variational algorithms, and multi-level parallelism to cut storage, runtime, and RAM by orders of magnitude while retaining competitive prediction accuracy. Key terms: polygenic risk scores, linkage disequilibrium, variational inference, LD compression, VIPRS.
 Study Highlights:The authors design a compact LD-matrix format (CSR stored in Zarr with quantization) and algorithmic optimizations that reduce LD storage by over 50-fold. They reimplement coordinate-ascent variational updates in C/C++ using single-precision floats, triangular-LD updates, dequantize-on-the-fly, and two layers of parallelism to cut runtime and memory use by orders of magnitude. VIPRS v0.1 can run variational Bayesian regression on 1.1M HapMap3 variants in under a minute and converges genome wide on up to 18M variants in tens of minutes using <15 GB RAM. The paper also analyzes spectral causes of numerical instability in LD matrices and gives practical recommendations to improve stability and prediction accuracy.
 Conclusion:The updated VIPRS toolkit enables fast, memory-efficient whole-genome PRS inference at biobank scale with competitive accuracy and provides storage formats and numerical safeguards to improve reproducibility and portability.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms
 First author:Zabad S
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.05.002
 Reference:Zabad S., Haryan C.A., Gravel S., Misra S., Li Y. (2025). Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms. The American Journal of Human Genetics 112, 1–19. https://doi.org/10.1016/j.ajhg.2025.05.002
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/viprs-whole-genome-prs
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's presentation of VIPRS architecture (LD storage, quantization, DQF, triangular LD), memory/performance benchmarks, parallelism, numerical stability guards, and cross-ancestry/cross-biobank findings against the original article.- transcript topics: Polygenic risk scores and LD challenges; LD matrix compression via upper-triangular storage; CSR storage and Zarr cloud-native format; Quantization to int8/int16 and scale quantization; Dequantize-on-the-Fly (DQF) memory management; Coordinate ascent updates and OpenMP parallelism
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- LD matrix compression reduces storage by >50-fold...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[39: Scaling whole-genome polygenic scores with VIPRS]]>
                </itunes:title>
                                    <itunes:episode>39</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zabad S et al., The American Journal of Human Genetics - This episode covers Zabad et al.'s methods to scale summary-statistics-based polygenic risk score (PRS) inference to millions of variants. The authors introduce compressed LD storage, memory-efficient coordinate-ascent variational algorithms, and multi-level parallelism to cut storage, runtime, and RAM by orders of magnitude while retaining competitive prediction accuracy. Key terms: polygenic risk scores, linkage disequilibrium, variational inference, LD compression, VIPRS.</p>
<p> Study Highlights:<br />The authors design a compact LD-matrix format (CSR stored in Zarr with quantization) and algorithmic optimizations that reduce LD storage by over 50-fold. They reimplement coordinate-ascent variational updates in C/C++ using single-precision floats, triangular-LD updates, dequantize-on-the-fly, and two layers of parallelism to cut runtime and memory use by orders of magnitude. VIPRS v0.1 can run variational Bayesian regression on 1.1M HapMap3 variants in under a minute and converges genome wide on up to 18M variants in tens of minutes using &lt;15 GB RAM. The paper also analyzes spectral causes of numerical instability in LD matrices and gives practical recommendations to improve stability and prediction accuracy.</p>
<p> Conclusion:<br />The updated VIPRS toolkit enables fast, memory-efficient whole-genome PRS inference at biobank scale with competitive accuracy and provides storage formats and numerical safeguards to improve reproducibility and portability.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms</p>
<p> First author:<br />Zabad S</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.05.002</p>
<p> Reference:<br />Zabad S., Haryan C.A., Gravel S., Misra S., Li Y. (2025). Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms. The American Journal of Human Genetics 112, 1–19. https://doi.org/10.1016/j.ajhg.2025.05.002</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/viprs-whole-genome-prs</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript's presentation of VIPRS architecture (LD storage, quantization, DQF, triangular LD), memory/performance benchmarks, parallelism, numerical stability guards, and cross-ancestry/cross-biobank findings against the original article.<br />- transcript topics: Polygenic risk scores and LD challenges; LD matrix compression via upper-triangular storage; CSR storage and Zarr cloud-native format; Quantization to int8/int16 and scale quantization; Dequantize-on-the-Fly (DQF) memory management; Coordinate ascent updates and OpenMP parallelism</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- LD matrix compression reduces storage by &gt;50-fold; 1.4M HapMap3 variants stored in ~300 MB<br />- LD matrices stored in CSR format with quantization to int8/int16 (scale quantization)<br />- Dequantize-on-the-Fly (DQF) streams data and avoids full in-memory decompression, reducing memory usage<br />- Triangular LD mode reduces memory usage by about 40% compared with symmetric LD mode<br />- Two layers of parallelism: across chromosomes and within coordinate-ascent; ~30% total runtime reduction with 4 threads<br />- VIPRS v0.1 can infer 1.1M HapMap3 variants in under a minute; converges on up to 18M variants in tens of minutes using &lt;15 GB RAM</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Zabad S et al., The American Journal of Human Genetics - This episode covers Zabad et al.'s methods to scale summary-statistics-based polygenic risk score (PRS) inference to millions of variants. The authors introduce compressed LD storage, memory-efficient coordinate-ascent variational algorithms, and multi-level parallelism to cut storage, runtime, and RAM by orders of magnitude while retaining competitive prediction accuracy. Key terms: polygenic risk scores, linkage disequilibrium, variational inference, LD compression, VIPRS.
 Study Highlights:The authors design a compact LD-matrix format (CSR stored in Zarr with quantization) and algorithmic optimizations that reduce LD storage by over 50-fold. They reimplement coordinate-ascent variational updates in C/C++ using single-precision floats, triangular-LD updates, dequantize-on-the-fly, and two layers of parallelism to cut runtime and memory use by orders of magnitude. VIPRS v0.1 can run variational Bayesian regression on 1.1M HapMap3 variants in under a minute and converges genome wide on up to 18M variants in tens of minutes using <15 GB RAM. The paper also analyzes spectral causes of numerical instability in LD matrices and gives practical recommendations to improve stability and prediction accuracy.
 Conclusion:The updated VIPRS toolkit enables fast, memory-efficient whole-genome PRS inference at biobank scale with competitive accuracy and provides storage formats and numerical safeguards to improve reproducibility and portability.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms
 First author:Zabad S
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.05.002
 Reference:Zabad S., Haryan C.A., Gravel S., Misra S., Li Y. (2025). Toward whole-genome inference of polygenic scores with fast and memory-efficient algorithms. The American Journal of Human Genetics 112, 1–19. https://doi.org/10.1016/j.ajhg.2025.05.002
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/viprs-whole-genome-prs
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript's presentation of VIPRS architecture (LD storage, quantization, DQF, triangular LD), memory/performance benchmarks, parallelism, numerical stability guards, and cross-ancestry/cross-biobank findings against the original article.- transcript topics: Polygenic risk scores and LD challenges; LD matrix compression via upper-triangular storage; CSR storage and Zarr cloud-native format; Quantization to int8/int16 and scale quantization; Dequantize-on-the-Fly (DQF) memory management; Coordinate ascent updates and OpenMP parallelism
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- LD matrix compression reduces storage by >50-fold...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107572/c1a-p6xp7-rkgdrxndtj89-lg4fru.png"></itunes:image>
                                                                            <itunes:duration>00:19:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[38: Bat ancestors, recombination, and rapid travel: origins of SARS-CoV and SARS-CoV-2]]>
                </title>
                <pubDate>Sat, 07 Jun 2025 03:31:17 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    9c0530c1-d93e-407a-b4a5-19a54b496a01</guid>
                                    <link>https://basebybase.castos.com/episodes/recency-geographical-origins-bat-viruses-sars-cov-sars-cov-2</link>
                                <description>
                                            <![CDATA[<p>Pekar JE et al., Cell - Recombination-aware, whole-genome analyses of sarbecoviruses show that genomic fragments very closely related to SARS-CoV and SARS-CoV-2 circulated in horseshoe bats only years before human emergence. Phylogeography places recent ancestors in western China and northern Laos and indicates movement patterns inconsistent with bat-only dispersal, implicating intermediate hosts or wildlife trade. Key terms: sarbecovirus, recombination, phylogeography, horseshoe bats, zoonotic spillover.</p>
<p> Study Highlights:<br />The authors mapped recombination breakpoints and analyzed non-recombinant regions (NRRs) across sarbecovirus genomes to infer separate evolutionary histories for SARS-CoV-1-like and SARS-CoV-2-like viruses. Closest-inferred bat virus ancestors for both human SARS-CoVs often date just 1–6 years before human emergence in specific NRRs. Phylogeographic reconstructions place those recent ancestors in western China and northern Laos/Yunnan, and show viral diffusion rates approximating horseshoe bat movement. The geographic distances and required dispersal velocities make bat-only spread to emergence sites unlikely, supporting a role for intermediate hosts or wildlife trade.</p>
<p> Conclusion:<br />Non-recombinant genome segments reveal very recent bat ancestors of SARS-CoV and SARS-CoV-2 that likely could not have reached human emergence sites by bat movement alone, highlighting the importance of whole-genome surveillance in bats, targeted sampling in Southwest China and Northern Laos, and monitoring of wildlife trade pathways.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2</p>
<p> First author:<br />Pekar JE</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.03.035</p>
<p> Reference:<br />Pekar JE, Lytras S, Ghafari M, et al. The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2. Cell. 2025;188:1–17. doi:10.1016/j.cell.2025.03.035</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/recency-geographical-origins-bat-viruses-sars-cov-sars-cov-2</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing non-recombinant regions (NRRs), recombination-aware dating, the Prisoner of War (PoW) molecular clock, phylogeography, dispersal velocities, geographic origins of closest bat ancestors, and implications about wildlife trade as a bridge to emergence.<br />- transcript topics: Recombination and non-recombinant regions (NRRs); NRR-based dating and closest-inferred bat ancestors; Prisoner of War (PoW) molecular clock and substitution saturation; Phylogeography and isolation by distance; Dispersal velocities and bat-host diffusion; Geographic origins of closest bat ancestors (SARS-CoV-1 in Western China; SARS-CoV-2 in Yunnan/Northern Laos)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Pekar JE et al., Cell - Recombination-aware, whole-genome analyses of sarbecoviruses show that genomic fragments very closely related to SARS-CoV and SARS-CoV-2 circulated in horseshoe bats only years before human emergence. Phylogeography places recent ancestors in western China and northern Laos and indicates movement patterns inconsistent with bat-only dispersal, implicating intermediate hosts or wildlife trade. Key terms: sarbecovirus, recombination, phylogeography, horseshoe bats, zoonotic spillover.
 Study Highlights:The authors mapped recombination breakpoints and analyzed non-recombinant regions (NRRs) across sarbecovirus genomes to infer separate evolutionary histories for SARS-CoV-1-like and SARS-CoV-2-like viruses. Closest-inferred bat virus ancestors for both human SARS-CoVs often date just 1–6 years before human emergence in specific NRRs. Phylogeographic reconstructions place those recent ancestors in western China and northern Laos/Yunnan, and show viral diffusion rates approximating horseshoe bat movement. The geographic distances and required dispersal velocities make bat-only spread to emergence sites unlikely, supporting a role for intermediate hosts or wildlife trade.
 Conclusion:Non-recombinant genome segments reveal very recent bat ancestors of SARS-CoV and SARS-CoV-2 that likely could not have reached human emergence sites by bat movement alone, highlighting the importance of whole-genome surveillance in bats, targeted sampling in Southwest China and Northern Laos, and monitoring of wildlife trade pathways.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2
 First author:Pekar JE
 Journal:Cell
 DOI:10.1016/j.cell.2025.03.035
 Reference:Pekar JE, Lytras S, Ghafari M, et al. The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2. Cell. 2025;188:1–17. doi:10.1016/j.cell.2025.03.035
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/recency-geographical-origins-bat-viruses-sars-cov-sars-cov-2
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing non-recombinant regions (NRRs), recombination-aware dating, the Prisoner of War (PoW) molecular clock, phylogeography, dispersal velocities, geographic origins of closest bat ancestors, and implications about wildlife trade as a bridge to emergence.- transcript topics: Recombination and non-recombinant regions (NRRs); NRR-based dating and closest-inferred bat ancestors; Prisoner of War (PoW) molecular clock and substitution saturation; Phylogeography and isolation by distance; Dispersal velocities and bat-host diffusion; Geographic origins of closest bat ancestors (SARS-CoV-1 in Western China; SARS-CoV-2 in Yunnan/Northern Laos)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[38: Bat ancestors, recombination, and rapid travel: origins of SARS-CoV and SARS-CoV-2]]>
                </itunes:title>
                                    <itunes:episode>38</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Pekar JE et al., Cell - Recombination-aware, whole-genome analyses of sarbecoviruses show that genomic fragments very closely related to SARS-CoV and SARS-CoV-2 circulated in horseshoe bats only years before human emergence. Phylogeography places recent ancestors in western China and northern Laos and indicates movement patterns inconsistent with bat-only dispersal, implicating intermediate hosts or wildlife trade. Key terms: sarbecovirus, recombination, phylogeography, horseshoe bats, zoonotic spillover.</p>
<p> Study Highlights:<br />The authors mapped recombination breakpoints and analyzed non-recombinant regions (NRRs) across sarbecovirus genomes to infer separate evolutionary histories for SARS-CoV-1-like and SARS-CoV-2-like viruses. Closest-inferred bat virus ancestors for both human SARS-CoVs often date just 1–6 years before human emergence in specific NRRs. Phylogeographic reconstructions place those recent ancestors in western China and northern Laos/Yunnan, and show viral diffusion rates approximating horseshoe bat movement. The geographic distances and required dispersal velocities make bat-only spread to emergence sites unlikely, supporting a role for intermediate hosts or wildlife trade.</p>
<p> Conclusion:<br />Non-recombinant genome segments reveal very recent bat ancestors of SARS-CoV and SARS-CoV-2 that likely could not have reached human emergence sites by bat movement alone, highlighting the importance of whole-genome surveillance in bats, targeted sampling in Southwest China and Northern Laos, and monitoring of wildlife trade pathways.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2</p>
<p> First author:<br />Pekar JE</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.03.035</p>
<p> Reference:<br />Pekar JE, Lytras S, Ghafari M, et al. The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2. Cell. 2025;188:1–17. doi:10.1016/j.cell.2025.03.035</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/recency-geographical-origins-bat-viruses-sars-cov-sars-cov-2</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-07.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript sections describing non-recombinant regions (NRRs), recombination-aware dating, the Prisoner of War (PoW) molecular clock, phylogeography, dispersal velocities, geographic origins of closest bat ancestors, and implications about wildlife trade as a bridge to emergence.<br />- transcript topics: Recombination and non-recombinant regions (NRRs); NRR-based dating and closest-inferred bat ancestors; Prisoner of War (PoW) molecular clock and substitution saturation; Phylogeography and isolation by distance; Dispersal velocities and bat-host diffusion; Geographic origins of closest bat ancestors (SARS-CoV-1 in Western China; SARS-CoV-2 in Yunnan/Northern Laos)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Closest bat-virus ancestors for SARS-CoV-1 circulated in bats in 2001 (1 year before SARS-CoV-1 emergence in 2002; NRR14).<br />- Closest bat-virus ancestors for SARS-CoV-2 circulated in bats in 2014 (two NRRs with closest ancestors in 2014; HPD intervals given).<br />- SARS-CoV-1-like ancestors inferred in Western China (Yunnan, Sichuan, Guizhou) and SARS-CoV-2-like ancestors in Yunnan or Northern Laos.<br />- Outbreaks in Guangzhou (SARS-CoV-1) and Wuhan (SARS-CoV-2) are ~1000 km from bat-ancestor circulation sites.<br />- Weighted diffusion coefficients: SARS-CoV-1-like ~1666 km^2/year; SARS-CoV-2-like ~740 km^2/year.<br />- Isolation by distance indicates viruses spread at rates matching bat host movement; bat dispersal is relatively local.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Pekar JE et al., Cell - Recombination-aware, whole-genome analyses of sarbecoviruses show that genomic fragments very closely related to SARS-CoV and SARS-CoV-2 circulated in horseshoe bats only years before human emergence. Phylogeography places recent ancestors in western China and northern Laos and indicates movement patterns inconsistent with bat-only dispersal, implicating intermediate hosts or wildlife trade. Key terms: sarbecovirus, recombination, phylogeography, horseshoe bats, zoonotic spillover.
 Study Highlights:The authors mapped recombination breakpoints and analyzed non-recombinant regions (NRRs) across sarbecovirus genomes to infer separate evolutionary histories for SARS-CoV-1-like and SARS-CoV-2-like viruses. Closest-inferred bat virus ancestors for both human SARS-CoVs often date just 1–6 years before human emergence in specific NRRs. Phylogeographic reconstructions place those recent ancestors in western China and northern Laos/Yunnan, and show viral diffusion rates approximating horseshoe bat movement. The geographic distances and required dispersal velocities make bat-only spread to emergence sites unlikely, supporting a role for intermediate hosts or wildlife trade.
 Conclusion:Non-recombinant genome segments reveal very recent bat ancestors of SARS-CoV and SARS-CoV-2 that likely could not have reached human emergence sites by bat movement alone, highlighting the importance of whole-genome surveillance in bats, targeted sampling in Southwest China and Northern Laos, and monitoring of wildlife trade pathways.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2
 First author:Pekar JE
 Journal:Cell
 DOI:10.1016/j.cell.2025.03.035
 Reference:Pekar JE, Lytras S, Ghafari M, et al. The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2. Cell. 2025;188:1–17. doi:10.1016/j.cell.2025.03.035
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/recency-geographical-origins-bat-viruses-sars-cov-sars-cov-2
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-07.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript sections describing non-recombinant regions (NRRs), recombination-aware dating, the Prisoner of War (PoW) molecular clock, phylogeography, dispersal velocities, geographic origins of closest bat ancestors, and implications about wildlife trade as a bridge to emergence.- transcript topics: Recombination and non-recombinant regions (NRRs); NRR-based dating and closest-inferred bat ancestors; Prisoner of War (PoW) molecular clock and substitution saturation; Phylogeography and isolation by distance; Dispersal velocities and bat-host diffusion; Geographic origins of closest bat ancestors (SARS-CoV-1 in Western China; SARS-CoV-2 in Yunnan/Northern Laos)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107573/c1a-p6xp7-qdp49kd5h70j-qkp0yu.png"></itunes:image>
                                                                            <itunes:duration>00:20:29</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[37: Prioritizing missense variants with chemoproteomic-detected amino acids]]>
                </title>
                <pubDate>Fri, 06 Jun 2025 15:46:07 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    67947b67-ddef-4e19-8ec5-e1012a18d29d</guid>
                                    <link>https://basebybase.castos.com/episodes/chemoproteomics-missense-variants-cpdaas</link>
                                <description>
                                            <![CDATA[<p>Palafox MF et al., The American Journal of Human Genetics - This episode explores a multi-omic study showing that mass spectrometry–based chemoproteomic detection of cysteine, lysine, and tyrosine (CpDAAs) highlights protein sites and regions enriched for pathogenic missense variants and variant uncertainty. Key terms: chemoproteomics, missense_variants, CpDAA, fumarate_hydratase, variant_interpretation.</p>
<p> Study Highlights:<br />The authors assembled curated chemoproteomic datasets profiling cysteine, lysine, and tyrosine reactivity across the human proteome and mapped CpDAAs to monogenic-disease genes, ClinVar variants, and protein structures. CpD proteins are enriched for OMIM disease genes, missense constraint, and protein-protein interactions, and CpDAAs are significantly closer to pathogenic missense variants in both 1D sequence windows and 3D structure. Lysine- and tyrosine-detected residues show the strongest enrichment for proximal pathogenic variants, while cysteine environments harbor many VUSs and pathogenic alleles. A case study of fumarate hydratase (FH) demonstrates that CpDAA-proximal variants cluster in 3D and that mutations at detected cysteines alter FH oligomerization.</p>
<p> Conclusion:<br />Integrating chemoproteomic amino-acid reactivity with genetic and structural data can help prioritize likely functional and druggable missense variants, complementing existing variant-effect predictors.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Prioritizing disease-associated missense variants with chemoproteomic-detected amino acids</p>
<p> First author:<br />Palafox MF</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.04.017</p>
<p> Reference:<br />Palafox MF, Boatner L, Wilde BR, Christofk H, Backus KM, Arboleda VA. Prioritizing disease-associated missense variants with chemoproteomic-detected amino acids. The American Journal of Human Genetics. 2025;112:1–15. doi:10.1016/j.ajhg.2025.04.017</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/chemoproteomics-missense-variants-cpdaas</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content presented in the transcript: CpDAA concept, 1D and 3D proximity analyses, FH case study with tetramerization, implications for variant interpretation and covalent drug targeting, and acknowledged limitations.<br />- transcript topics: Introduction to CpDAA concept and chemoproteomics; CpDAA mapping to disease-relevant genes (OMIM, ClinVar, FDA targets); 1D proximity analysis (6-amino-acid windows around CpDAAs); 3D proximity analysis (8-Å radius around CpDAAs in protein structures); Fumarate hydratase (FH) case study and Cys333/Cys434 CpDAA neighborhood; VUS, CADD scoring, and enrichment patterns by amino-acid type</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CpDAAs defined as reactive cysteine...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Palafox MF et al., The American Journal of Human Genetics - This episode explores a multi-omic study showing that mass spectrometry–based chemoproteomic detection of cysteine, lysine, and tyrosine (CpDAAs) highlights protein sites and regions enriched for pathogenic missense variants and variant uncertainty. Key terms: chemoproteomics, missense_variants, CpDAA, fumarate_hydratase, variant_interpretation.
 Study Highlights:The authors assembled curated chemoproteomic datasets profiling cysteine, lysine, and tyrosine reactivity across the human proteome and mapped CpDAAs to monogenic-disease genes, ClinVar variants, and protein structures. CpD proteins are enriched for OMIM disease genes, missense constraint, and protein-protein interactions, and CpDAAs are significantly closer to pathogenic missense variants in both 1D sequence windows and 3D structure. Lysine- and tyrosine-detected residues show the strongest enrichment for proximal pathogenic variants, while cysteine environments harbor many VUSs and pathogenic alleles. A case study of fumarate hydratase (FH) demonstrates that CpDAA-proximal variants cluster in 3D and that mutations at detected cysteines alter FH oligomerization.
 Conclusion:Integrating chemoproteomic amino-acid reactivity with genetic and structural data can help prioritize likely functional and druggable missense variants, complementing existing variant-effect predictors.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Prioritizing disease-associated missense variants with chemoproteomic-detected amino acids
 First author:Palafox MF
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.04.017
 Reference:Palafox MF, Boatner L, Wilde BR, Christofk H, Backus KM, Arboleda VA. Prioritizing disease-associated missense variants with chemoproteomic-detected amino acids. The American Journal of Human Genetics. 2025;112:1–15. doi:10.1016/j.ajhg.2025.04.017
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/chemoproteomics-missense-variants-cpdaas
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content presented in the transcript: CpDAA concept, 1D and 3D proximity analyses, FH case study with tetramerization, implications for variant interpretation and covalent drug targeting, and acknowledged limitations.- transcript topics: Introduction to CpDAA concept and chemoproteomics; CpDAA mapping to disease-relevant genes (OMIM, ClinVar, FDA targets); 1D proximity analysis (6-amino-acid windows around CpDAAs); 3D proximity analysis (8-Å radius around CpDAAs in protein structures); Fumarate hydratase (FH) case study and Cys333/Cys434 CpDAA neighborhood; VUS, CADD scoring, and enrichment patterns by amino-acid type
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CpDAAs defined as reactive cysteine...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[37: Prioritizing missense variants with chemoproteomic-detected amino acids]]>
                </itunes:title>
                                    <itunes:episode>37</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Palafox MF et al., The American Journal of Human Genetics - This episode explores a multi-omic study showing that mass spectrometry–based chemoproteomic detection of cysteine, lysine, and tyrosine (CpDAAs) highlights protein sites and regions enriched for pathogenic missense variants and variant uncertainty. Key terms: chemoproteomics, missense_variants, CpDAA, fumarate_hydratase, variant_interpretation.</p>
<p> Study Highlights:<br />The authors assembled curated chemoproteomic datasets profiling cysteine, lysine, and tyrosine reactivity across the human proteome and mapped CpDAAs to monogenic-disease genes, ClinVar variants, and protein structures. CpD proteins are enriched for OMIM disease genes, missense constraint, and protein-protein interactions, and CpDAAs are significantly closer to pathogenic missense variants in both 1D sequence windows and 3D structure. Lysine- and tyrosine-detected residues show the strongest enrichment for proximal pathogenic variants, while cysteine environments harbor many VUSs and pathogenic alleles. A case study of fumarate hydratase (FH) demonstrates that CpDAA-proximal variants cluster in 3D and that mutations at detected cysteines alter FH oligomerization.</p>
<p> Conclusion:<br />Integrating chemoproteomic amino-acid reactivity with genetic and structural data can help prioritize likely functional and druggable missense variants, complementing existing variant-effect predictors.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Prioritizing disease-associated missense variants with chemoproteomic-detected amino acids</p>
<p> First author:<br />Palafox MF</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.04.017</p>
<p> Reference:<br />Palafox MF, Boatner L, Wilde BR, Christofk H, Backus KM, Arboleda VA. Prioritizing disease-associated missense variants with chemoproteomic-detected amino acids. The American Journal of Human Genetics. 2025;112:1–15. doi:10.1016/j.ajhg.2025.04.017</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/chemoproteomics-missense-variants-cpdaas</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the scientific content presented in the transcript: CpDAA concept, 1D and 3D proximity analyses, FH case study with tetramerization, implications for variant interpretation and covalent drug targeting, and acknowledged limitations.<br />- transcript topics: Introduction to CpDAA concept and chemoproteomics; CpDAA mapping to disease-relevant genes (OMIM, ClinVar, FDA targets); 1D proximity analysis (6-amino-acid windows around CpDAAs); 3D proximity analysis (8-Å radius around CpDAAs in protein structures); Fumarate hydratase (FH) case study and Cys333/Cys434 CpDAA neighborhood; VUS, CADD scoring, and enrichment patterns by amino-acid type</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CpDAAs defined as reactive cysteine, lysine, and tyrosine residues identified by chemoproteomics<br />- CpD proteins are enriched for OMIM monogenic-disease genes and FDA drug targets<br />- Pathogenic missense variants are proximal to CpDAAs in 1D space (near CpDAAs, e.g., within ~6 amino acids)<br />- Pathogenic missense variants are proximal to CpDAAs in 3D space (within ~8 Å)<br />- Lysine and tyrosine CpDAAs show stronger enrichment for proximal pathogenic variants than cysteine CpDAAs<br />- FH (fumarate hydratase) as a case study shows CpDAA environments near pathogenic/VUS variants and disruption of tetramerization</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107574/c1e-0jp63ikmdpgb101pm-kpod4d0nu793-yro5cb.mp3?awCollectionId=66206&amp;awEpisodeId=67947b67-ddef-4e19-8ec5-e1012a18d29d&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fchemoproteomics-missense-variants-cpdaas&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=7de7f3ab8a66cdfab01032998f6c1504861c86df8f3937e583cac80ed920de89" length="33804333"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Palafox MF et al., The American Journal of Human Genetics - This episode explores a multi-omic study showing that mass spectrometry–based chemoproteomic detection of cysteine, lysine, and tyrosine (CpDAAs) highlights protein sites and regions enriched for pathogenic missense variants and variant uncertainty. Key terms: chemoproteomics, missense_variants, CpDAA, fumarate_hydratase, variant_interpretation.
 Study Highlights:The authors assembled curated chemoproteomic datasets profiling cysteine, lysine, and tyrosine reactivity across the human proteome and mapped CpDAAs to monogenic-disease genes, ClinVar variants, and protein structures. CpD proteins are enriched for OMIM disease genes, missense constraint, and protein-protein interactions, and CpDAAs are significantly closer to pathogenic missense variants in both 1D sequence windows and 3D structure. Lysine- and tyrosine-detected residues show the strongest enrichment for proximal pathogenic variants, while cysteine environments harbor many VUSs and pathogenic alleles. A case study of fumarate hydratase (FH) demonstrates that CpDAA-proximal variants cluster in 3D and that mutations at detected cysteines alter FH oligomerization.
 Conclusion:Integrating chemoproteomic amino-acid reactivity with genetic and structural data can help prioritize likely functional and druggable missense variants, complementing existing variant-effect predictors.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Prioritizing disease-associated missense variants with chemoproteomic-detected amino acids
 First author:Palafox MF
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.04.017
 Reference:Palafox MF, Boatner L, Wilde BR, Christofk H, Backus KM, Arboleda VA. Prioritizing disease-associated missense variants with chemoproteomic-detected amino acids. The American Journal of Human Genetics. 2025;112:1–15. doi:10.1016/j.ajhg.2025.04.017
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/chemoproteomics-missense-variants-cpdaas
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the scientific content presented in the transcript: CpDAA concept, 1D and 3D proximity analyses, FH case study with tetramerization, implications for variant interpretation and covalent drug targeting, and acknowledged limitations.- transcript topics: Introduction to CpDAA concept and chemoproteomics; CpDAA mapping to disease-relevant genes (OMIM, ClinVar, FDA targets); 1D proximity analysis (6-amino-acid windows around CpDAAs); 3D proximity analysis (8-Å radius around CpDAAs in protein structures); Fumarate hydratase (FH) case study and Cys333/Cys434 CpDAA neighborhood; VUS, CADD scoring, and enrichment patterns by amino-acid type
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CpDAAs defined as reactive cysteine...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107574/c1a-p6xp7-5zqk7mz9un97-vyl9at.png"></itunes:image>
                                                                            <itunes:duration>00:23:07</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[36: Bi-allelic POPDC2 variants and a recessive cardiac syndrome]]>
                </title>
                <pubDate>Fri, 06 Jun 2025 11:06:53 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    50bd59a7-077d-480a-b340-1290945c651b</guid>
                                    <link>https://basebybase.castos.com/episodes/popdc2-recessive-cardiac-syndrome-1</link>
                                <description>
                                            <![CDATA[<p>Nicastro M et al., The American Journal of Human Genetics - This episode covers Nicastro et al. (2025), who identify bi-allelic POPDC2 variants in four families causing a recessive cardiac syndrome marked by sinus-node dysfunction, atrioventricular conduction defects and, in some cases, hypertrophic cardiomyopathy. The study combines genetic sequencing, structural modeling, electrophysiology, tissue analyses and population biobank data to link impaired cAMP binding and loss of POPDC2 modulation of TREK-1 to the phenotype and to show heterozygous carriers are unlikely to be clinically affected. Key terms: POPDC2, cardiac conduction defects, hypertrophic cardiomyopathy, TREK-1, cAMP binding.</p>
<p> Study Highlights:<br />Researchers found homozygous or compound heterozygous POPDC2 variants in multiple families with early-onset sinus-node disease, AV block and occasional HCM. Homology models and AlphaMissense predict the variants impair cAMP binding and dimerization of POPDC2. In vitro, mutant POPDC2 failed to increase TREK-1 current density and muscle biopsy showed reduced POPDC1/POPDC2 abundance. Population analysis across &gt;1 million individuals found no disease association for heterozygous carriers, supporting a recessive mode of inheritance.</p>
<p> Conclusion:<br />Bi-allelic loss-of-function POPDC2 variants cause a Mendelian autosomal recessive cardiac syndrome involving conduction disease and sometimes HCM; functional data implicate impaired cAMP binding and reduced TREK-1 regulation, and heterozygous carriers are unlikely to develop clinical disease based on population analyses.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy</p>
<p> First author:<br />Nicastro M</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.04.016</p>
<p> Reference:<br />Nicastro M, Vermeer AMC, Postema PG, et al. Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy. The American Journal of Human Genetics. 2025;112:1–18. doi:10.1016/j.ajhg.2025.04.016</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/popdc2-recessive-cardiac-syndrome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the scientific content segments: genetic etiology (POPDC2 LOF and autosomal recessive syndrome), structural modeling and cAMP binding, in vitro TREK-1 electrophysiology, simulation data linking TREK-1 changes to pacemaking, single-cell/transcriptomic localization in AV/sinus nodes, population-biob<br />- transcript topics: POPDC2 bi-allelic LOF variants and autosomal recessive cardiac syndrome; Structural modeling and predicted disruption of cAMP binding; TREK-1 electrophysiology and POPDC2 interaction in cells; In silico cardiac simulations linking TREK-1 reduction to bradycardia; Population genetics: heterozygous carrier analyses in biobanks; Single-cell and spatial transcriptomics of POPDC1/POPDC2 in AV node and sinus node</p>
<p>QC Summary:<br />- factual s...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nicastro M et al., The American Journal of Human Genetics - This episode covers Nicastro et al. (2025), who identify bi-allelic POPDC2 variants in four families causing a recessive cardiac syndrome marked by sinus-node dysfunction, atrioventricular conduction defects and, in some cases, hypertrophic cardiomyopathy. The study combines genetic sequencing, structural modeling, electrophysiology, tissue analyses and population biobank data to link impaired cAMP binding and loss of POPDC2 modulation of TREK-1 to the phenotype and to show heterozygous carriers are unlikely to be clinically affected. Key terms: POPDC2, cardiac conduction defects, hypertrophic cardiomyopathy, TREK-1, cAMP binding.
 Study Highlights:Researchers found homozygous or compound heterozygous POPDC2 variants in multiple families with early-onset sinus-node disease, AV block and occasional HCM. Homology models and AlphaMissense predict the variants impair cAMP binding and dimerization of POPDC2. In vitro, mutant POPDC2 failed to increase TREK-1 current density and muscle biopsy showed reduced POPDC1/POPDC2 abundance. Population analysis across >1 million individuals found no disease association for heterozygous carriers, supporting a recessive mode of inheritance.
 Conclusion:Bi-allelic loss-of-function POPDC2 variants cause a Mendelian autosomal recessive cardiac syndrome involving conduction disease and sometimes HCM; functional data implicate impaired cAMP binding and reduced TREK-1 regulation, and heterozygous carriers are unlikely to develop clinical disease based on population analyses.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy
 First author:Nicastro M
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.04.016
 Reference:Nicastro M, Vermeer AMC, Postema PG, et al. Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy. The American Journal of Human Genetics. 2025;112:1–18. doi:10.1016/j.ajhg.2025.04.016
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/popdc2-recessive-cardiac-syndrome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the scientific content segments: genetic etiology (POPDC2 LOF and autosomal recessive syndrome), structural modeling and cAMP binding, in vitro TREK-1 electrophysiology, simulation data linking TREK-1 changes to pacemaking, single-cell/transcriptomic localization in AV/sinus nodes, population-biob- transcript topics: POPDC2 bi-allelic LOF variants and autosomal recessive cardiac syndrome; Structural modeling and predicted disruption of cAMP binding; TREK-1 electrophysiology and POPDC2 interaction in cells; In silico cardiac simulations linking TREK-1 reduction to bradycardia; Population genetics: heterozygous carrier analyses in biobanks; Single-cell and spatial transcriptomics of POPDC1/POPDC2 in AV node and sinus node
QC Summary:- factual s...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[36: Bi-allelic POPDC2 variants and a recessive cardiac syndrome]]>
                </itunes:title>
                                    <itunes:episode>36</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nicastro M et al., The American Journal of Human Genetics - This episode covers Nicastro et al. (2025), who identify bi-allelic POPDC2 variants in four families causing a recessive cardiac syndrome marked by sinus-node dysfunction, atrioventricular conduction defects and, in some cases, hypertrophic cardiomyopathy. The study combines genetic sequencing, structural modeling, electrophysiology, tissue analyses and population biobank data to link impaired cAMP binding and loss of POPDC2 modulation of TREK-1 to the phenotype and to show heterozygous carriers are unlikely to be clinically affected. Key terms: POPDC2, cardiac conduction defects, hypertrophic cardiomyopathy, TREK-1, cAMP binding.</p>
<p> Study Highlights:<br />Researchers found homozygous or compound heterozygous POPDC2 variants in multiple families with early-onset sinus-node disease, AV block and occasional HCM. Homology models and AlphaMissense predict the variants impair cAMP binding and dimerization of POPDC2. In vitro, mutant POPDC2 failed to increase TREK-1 current density and muscle biopsy showed reduced POPDC1/POPDC2 abundance. Population analysis across &gt;1 million individuals found no disease association for heterozygous carriers, supporting a recessive mode of inheritance.</p>
<p> Conclusion:<br />Bi-allelic loss-of-function POPDC2 variants cause a Mendelian autosomal recessive cardiac syndrome involving conduction disease and sometimes HCM; functional data implicate impaired cAMP binding and reduced TREK-1 regulation, and heterozygous carriers are unlikely to develop clinical disease based on population analyses.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy</p>
<p> First author:<br />Nicastro M</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.04.016</p>
<p> Reference:<br />Nicastro M, Vermeer AMC, Postema PG, et al. Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy. The American Journal of Human Genetics. 2025;112:1–18. doi:10.1016/j.ajhg.2025.04.016</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/popdc2-recessive-cardiac-syndrome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantively audited the scientific content segments: genetic etiology (POPDC2 LOF and autosomal recessive syndrome), structural modeling and cAMP binding, in vitro TREK-1 electrophysiology, simulation data linking TREK-1 changes to pacemaking, single-cell/transcriptomic localization in AV/sinus nodes, population-biob<br />- transcript topics: POPDC2 bi-allelic LOF variants and autosomal recessive cardiac syndrome; Structural modeling and predicted disruption of cAMP binding; TREK-1 electrophysiology and POPDC2 interaction in cells; In silico cardiac simulations linking TREK-1 reduction to bradycardia; Population genetics: heterozygous carrier analyses in biobanks; Single-cell and spatial transcriptomics of POPDC1/POPDC2 in AV node and sinus node</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Bi-allelic loss-of-function variants in POPDC2 cause an autosomal recessive cardiac syndrome with sinus node dysfunction, AV conduction defects, and hypertrophic cardiomyopathy (HC<br />- Variants predicted to diminish POPDC2’s cAMP binding and disrupt the dimer interface.<br />- Mutant POPDC2 proteins fail to increase TREK-1 current density in co-expression assays with TREK-1 compared to wild-type POPDC2.<br />- Heterozygous POPDC2 variants are not associated with the clinical syndrome in large population biobanks.<br />- POPDC2 is highly expressed in the sinus node and co-expressed with POPDC1 in AV node/pacemaker cells; POPDC1/POPDC2 co-expression supports trafficking to the membrane.<br />- Population analyses across &gt;1 million individuals show no disease associations for heterozygous carriers of the identified POPDC2 variants.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107575/c1e-n6z82cd8okgbo0onz-7z8k3k61fnqx-wwnsa7.mp3?awCollectionId=66206&amp;awEpisodeId=50bd59a7-077d-480a-b340-1290945c651b&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fpopdc2-recessive-cardiac-syndrome-1&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=38b2e85c61752605169e6e9a5ba68c8431d3055d24c4b1a68136db8312597fc1" length="35338221"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Nicastro M et al., The American Journal of Human Genetics - This episode covers Nicastro et al. (2025), who identify bi-allelic POPDC2 variants in four families causing a recessive cardiac syndrome marked by sinus-node dysfunction, atrioventricular conduction defects and, in some cases, hypertrophic cardiomyopathy. The study combines genetic sequencing, structural modeling, electrophysiology, tissue analyses and population biobank data to link impaired cAMP binding and loss of POPDC2 modulation of TREK-1 to the phenotype and to show heterozygous carriers are unlikely to be clinically affected. Key terms: POPDC2, cardiac conduction defects, hypertrophic cardiomyopathy, TREK-1, cAMP binding.
 Study Highlights:Researchers found homozygous or compound heterozygous POPDC2 variants in multiple families with early-onset sinus-node disease, AV block and occasional HCM. Homology models and AlphaMissense predict the variants impair cAMP binding and dimerization of POPDC2. In vitro, mutant POPDC2 failed to increase TREK-1 current density and muscle biopsy showed reduced POPDC1/POPDC2 abundance. Population analysis across >1 million individuals found no disease association for heterozygous carriers, supporting a recessive mode of inheritance.
 Conclusion:Bi-allelic loss-of-function POPDC2 variants cause a Mendelian autosomal recessive cardiac syndrome involving conduction disease and sometimes HCM; functional data implicate impaired cAMP binding and reduced TREK-1 regulation, and heterozygous carriers are unlikely to develop clinical disease based on population analyses.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy
 First author:Nicastro M
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.04.016
 Reference:Nicastro M, Vermeer AMC, Postema PG, et al. Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy. The American Journal of Human Genetics. 2025;112:1–18. doi:10.1016/j.ajhg.2025.04.016
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/popdc2-recessive-cardiac-syndrome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantively audited the scientific content segments: genetic etiology (POPDC2 LOF and autosomal recessive syndrome), structural modeling and cAMP binding, in vitro TREK-1 electrophysiology, simulation data linking TREK-1 changes to pacemaking, single-cell/transcriptomic localization in AV/sinus nodes, population-biob- transcript topics: POPDC2 bi-allelic LOF variants and autosomal recessive cardiac syndrome; Structural modeling and predicted disruption of cAMP binding; TREK-1 electrophysiology and POPDC2 interaction in cells; In silico cardiac simulations linking TREK-1 reduction to bradycardia; Population genetics: heterozygous carrier analyses in biobanks; Single-cell and spatial transcriptomics of POPDC1/POPDC2 in AV node and sinus node
QC Summary:- factual s...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107575/c1a-p6xp7-kpod7zpoiv7z-cpnuck.png"></itunes:image>
                                                                            <itunes:duration>00:18:31</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[35: Tracing CCR5Δ32 through ancient genomes]]>
                </title>
                <pubDate>Fri, 06 Jun 2025 08:55:36 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    d8fa4fd3-a35c-4bf9-b4c9-b79af8df02a5</guid>
                                    <link>https://basebybase.castos.com/episodes/ccr5-delta32-ancient-genomes</link>
                                <description>
                                            <![CDATA[<p>This episode summarizes a study that genotyped the CCR5Δ32 deletion in ancient and modern human genomes, compared genotyping methods for low‑coverage ancient DNA, reconstructed CCR5 haplotypes, and modeled the deletion's spatiotemporal frequency and selection history. The work benchmarks HAPI (with informed priors) against GATK and VG, maps haplotype distributions (A,B,C), and infers allele frequency trajectories and selection signals across ancestries and time periods. Key terms: CCR5-delta32, ancient DNA, haplotype, selection, genotyping.</p>
<p> Study Highlights:<br />The authors developed and benchmarked an HAPI genotyping pipeline tailored for low‑coverage ancient DNA and showed it outperformed GATK and VG when using informed priors, recovering CCR5Δ32 genotypes at very low coverage. They assembled haplotype backgrounds (named A, B, C) with tag SNPs linked to CCR5Δ32 and traced their geographic distributions in ancient samples. Spatiotemporal allele frequency maps and modeling indicate increases in CCR5Δ32 frequency in parts of Europe within the last several thousand years and detect ancestry‑specific signals compatible with recent positive selection. The study also highlights sensitivity to coverage, reference choice, and permissive vs strict filtering when inferring trajectories and selection coefficients.</p>
<p> Conclusion:<br />Ancient DNA genotyping using haplotype‑aware approaches can reliably recover CCR5Δ32 and its haplotype backgrounds at low coverage, enabling reconstruction of the deletion's geographic spread and suggesting recent, ancestry‑specific increases in frequency consistent with positive selection, while results remain sensitive to coverage and filtering choices.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Tracing the evolutionary history of the CCR5delta32 deletion via ancient and modern genomes</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.04.015</p>
<p> Reference:<br />Ravn K, Cobuccio L, Muktupavela RA, et al. Tracing the evolutionary history of the CCR5delta32 deletion via ancient and modern genomes. Cell. 2025;188:3679-3695.e16. doi:10.1016/j.cell.2025.04.015</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ccr5-delta32-ancient-genomes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and methods described in the transcript against the article’s findings and metadata, focusing on CCR5Δ32 biology, haplotype architecture, ancient DNA methodology, origin and selection, geographic distribution, and implications for modern genome editing.<br />- transcript topics: CCR5Δ32 function and HIV resistance; Haplotype architecture A, B, C and 84 tag SNPs; Ancient DNA genotyping with HAPI priors and low coverage; Origin on the Western Eurasian steppe (~6700 years ago); Karagash evidence; Bronze Age selection window (8000–2000 years BP); European allele-frequency trajectories and Northern Europe ~16% frequency</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />-...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[This episode summarizes a study that genotyped the CCR5Δ32 deletion in ancient and modern human genomes, compared genotyping methods for low‑coverage ancient DNA, reconstructed CCR5 haplotypes, and modeled the deletion's spatiotemporal frequency and selection history. The work benchmarks HAPI (with informed priors) against GATK and VG, maps haplotype distributions (A,B,C), and infers allele frequency trajectories and selection signals across ancestries and time periods. Key terms: CCR5-delta32, ancient DNA, haplotype, selection, genotyping.
 Study Highlights:The authors developed and benchmarked an HAPI genotyping pipeline tailored for low‑coverage ancient DNA and showed it outperformed GATK and VG when using informed priors, recovering CCR5Δ32 genotypes at very low coverage. They assembled haplotype backgrounds (named A, B, C) with tag SNPs linked to CCR5Δ32 and traced their geographic distributions in ancient samples. Spatiotemporal allele frequency maps and modeling indicate increases in CCR5Δ32 frequency in parts of Europe within the last several thousand years and detect ancestry‑specific signals compatible with recent positive selection. The study also highlights sensitivity to coverage, reference choice, and permissive vs strict filtering when inferring trajectories and selection coefficients.
 Conclusion:Ancient DNA genotyping using haplotype‑aware approaches can reliably recover CCR5Δ32 and its haplotype backgrounds at low coverage, enabling reconstruction of the deletion's geographic spread and suggesting recent, ancestry‑specific increases in frequency consistent with positive selection, while results remain sensitive to coverage and filtering choices.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Tracing the evolutionary history of the CCR5delta32 deletion via ancient and modern genomes
 Journal:Cell
 DOI:10.1016/j.cell.2025.04.015
 Reference:Ravn K, Cobuccio L, Muktupavela RA, et al. Tracing the evolutionary history of the CCR5delta32 deletion via ancient and modern genomes. Cell. 2025;188:3679-3695.e16. doi:10.1016/j.cell.2025.04.015
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ccr5-delta32-ancient-genomes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and methods described in the transcript against the article’s findings and metadata, focusing on CCR5Δ32 biology, haplotype architecture, ancient DNA methodology, origin and selection, geographic distribution, and implications for modern genome editing.- transcript topics: CCR5Δ32 function and HIV resistance; Haplotype architecture A, B, C and 84 tag SNPs; Ancient DNA genotyping with HAPI priors and low coverage; Origin on the Western Eurasian steppe (~6700 years ago); Karagash evidence; Bronze Age selection window (8000–2000 years BP); European allele-frequency trajectories and Northern Europe ~16% frequency
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:-...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[35: Tracing CCR5Δ32 through ancient genomes]]>
                </itunes:title>
                                    <itunes:episode>35</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>This episode summarizes a study that genotyped the CCR5Δ32 deletion in ancient and modern human genomes, compared genotyping methods for low‑coverage ancient DNA, reconstructed CCR5 haplotypes, and modeled the deletion's spatiotemporal frequency and selection history. The work benchmarks HAPI (with informed priors) against GATK and VG, maps haplotype distributions (A,B,C), and infers allele frequency trajectories and selection signals across ancestries and time periods. Key terms: CCR5-delta32, ancient DNA, haplotype, selection, genotyping.</p>
<p> Study Highlights:<br />The authors developed and benchmarked an HAPI genotyping pipeline tailored for low‑coverage ancient DNA and showed it outperformed GATK and VG when using informed priors, recovering CCR5Δ32 genotypes at very low coverage. They assembled haplotype backgrounds (named A, B, C) with tag SNPs linked to CCR5Δ32 and traced their geographic distributions in ancient samples. Spatiotemporal allele frequency maps and modeling indicate increases in CCR5Δ32 frequency in parts of Europe within the last several thousand years and detect ancestry‑specific signals compatible with recent positive selection. The study also highlights sensitivity to coverage, reference choice, and permissive vs strict filtering when inferring trajectories and selection coefficients.</p>
<p> Conclusion:<br />Ancient DNA genotyping using haplotype‑aware approaches can reliably recover CCR5Δ32 and its haplotype backgrounds at low coverage, enabling reconstruction of the deletion's geographic spread and suggesting recent, ancestry‑specific increases in frequency consistent with positive selection, while results remain sensitive to coverage and filtering choices.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Tracing the evolutionary history of the CCR5delta32 deletion via ancient and modern genomes</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.04.015</p>
<p> Reference:<br />Ravn K, Cobuccio L, Muktupavela RA, et al. Tracing the evolutionary history of the CCR5delta32 deletion via ancient and modern genomes. Cell. 2025;188:3679-3695.e16. doi:10.1016/j.cell.2025.04.015</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ccr5-delta32-ancient-genomes</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited core scientific claims and methods described in the transcript against the article’s findings and metadata, focusing on CCR5Δ32 biology, haplotype architecture, ancient DNA methodology, origin and selection, geographic distribution, and implications for modern genome editing.<br />- transcript topics: CCR5Δ32 function and HIV resistance; Haplotype architecture A, B, C and 84 tag SNPs; Ancient DNA genotyping with HAPI priors and low coverage; Origin on the Western Eurasian steppe (~6700 years ago); Karagash evidence; Bronze Age selection window (8000–2000 years BP); European allele-frequency trajectories and Northern Europe ~16% frequency</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CCR5Δ32 is a 32-base-pair deletion<br />- CCR5Δ32 resides on multiple haplotypes (A, B, C) defined by surrounding tag SNPs<br />- Origin traceable to about 6,700 years ago on the Western Eurasian steppe; Karagash skeleton provides preserved haplotype context<br />- CCR5Δ32 haplotype A is surrounded by a large set of tag SNPs (84 SNPs)<br />- Allele frequency maps show increased CCR5Δ32 frequency in parts of Europe in recent millennia; Northern Europe frequency up to ~16%<br />- HAPI genotyping with informed priors recovers CCR5Δ32 genotypes from genomes as low as 0.3X coverage</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[This episode summarizes a study that genotyped the CCR5Δ32 deletion in ancient and modern human genomes, compared genotyping methods for low‑coverage ancient DNA, reconstructed CCR5 haplotypes, and modeled the deletion's spatiotemporal frequency and selection history. The work benchmarks HAPI (with informed priors) against GATK and VG, maps haplotype distributions (A,B,C), and infers allele frequency trajectories and selection signals across ancestries and time periods. Key terms: CCR5-delta32, ancient DNA, haplotype, selection, genotyping.
 Study Highlights:The authors developed and benchmarked an HAPI genotyping pipeline tailored for low‑coverage ancient DNA and showed it outperformed GATK and VG when using informed priors, recovering CCR5Δ32 genotypes at very low coverage. They assembled haplotype backgrounds (named A, B, C) with tag SNPs linked to CCR5Δ32 and traced their geographic distributions in ancient samples. Spatiotemporal allele frequency maps and modeling indicate increases in CCR5Δ32 frequency in parts of Europe within the last several thousand years and detect ancestry‑specific signals compatible with recent positive selection. The study also highlights sensitivity to coverage, reference choice, and permissive vs strict filtering when inferring trajectories and selection coefficients.
 Conclusion:Ancient DNA genotyping using haplotype‑aware approaches can reliably recover CCR5Δ32 and its haplotype backgrounds at low coverage, enabling reconstruction of the deletion's geographic spread and suggesting recent, ancestry‑specific increases in frequency consistent with positive selection, while results remain sensitive to coverage and filtering choices.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Tracing the evolutionary history of the CCR5delta32 deletion via ancient and modern genomes
 Journal:Cell
 DOI:10.1016/j.cell.2025.04.015
 Reference:Ravn K, Cobuccio L, Muktupavela RA, et al. Tracing the evolutionary history of the CCR5delta32 deletion via ancient and modern genomes. Cell. 2025;188:3679-3695.e16. doi:10.1016/j.cell.2025.04.015
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ccr5-delta32-ancient-genomes
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited core scientific claims and methods described in the transcript against the article’s findings and metadata, focusing on CCR5Δ32 biology, haplotype architecture, ancient DNA methodology, origin and selection, geographic distribution, and implications for modern genome editing.- transcript topics: CCR5Δ32 function and HIV resistance; Haplotype architecture A, B, C and 84 tag SNPs; Ancient DNA genotyping with HAPI priors and low coverage; Origin on the Western Eurasian steppe (~6700 years ago); Karagash evidence; Bronze Age selection window (8000–2000 years BP); European allele-frequency trajectories and Northern Europe ~16% frequency
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:-...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107576/c1a-p6xp7-8d89xzdwa08z-ohe6xg.png"></itunes:image>
                                                                            <itunes:duration>00:18:20</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[34: Pegtibatinase in Classical Homocystinuria (COMPOSE)]]>
                </title>
                <pubDate>Fri, 06 Jun 2025 02:02:23 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    8cd0b3ac-dd3b-4e4e-89d0-d598b440fcdd</guid>
                                    <link>https://basebybase.castos.com/episodes/ep34-pegtibatinase-compose-hcu</link>
                                <description>
                                            <![CDATA[<p>Ficicioglu C et al., Genetics in Medicine (2025) 27, 101456 - Phase 1/2 COMPOSE trial tested subcutaneous pegtibatinase in 24 participants with classical homocystinuria; treatment was generally well tolerated and produced rapid, dose-dependent reductions in total plasma homocysteine (tHcy). Key terms: classical homocystinuria, pegtibatinase, enzyme replacement therapy, total plasma homocysteine, clinical trial.</p>
<p> Study Highlights:<br />COMPOSE randomized 24 participants across six ascending dose cohorts of pegtibatinase versus placebo to evaluate safety and effects on tHcy. Pegtibatinase was generally well tolerated with mostly mild injection-site reactions and no anaphylaxis or severe immune reactions. At 1.5 mg/kg BIW and 2.5 mg/kg BIW, geometric mean tHcy fell by 57% and 67% respectively, with all participants at these doses achieving tHcy &lt;100 μM and one achieving normal tHcy. Anti-drug and anti-PEG antibodies were frequently detected but were typically low or transient and did not affect tHcy pharmacokinetics.</p>
<p> Conclusion:<br />Pegtibatinase was generally well tolerated and produced substantial, sustained reductions in tHcy at the two highest doses, supporting further evaluation as a potential enzyme replacement therapy for classical homocystinuria.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Safety and efficacy of pegtibatinase enzyme replacement therapy in adults with classical homocystinuria in the COMPOSE phase 1/2 randomized trial</p>
<p> First author:<br />Ficicioglu C</p>
<p> Journal:<br />Genetics in Medicine (2025) 27, 101456</p>
<p> DOI:<br />10.1016/j.gim.2025.101456</p>
<p> Reference:<br />Ficicioglu C, Thomas JA, Ganesh J, Kudrow D, Lah M, Smith WE, Guner J, McDermott S, Vaidya SA, Wilkening L, Levy HL. Safety and efficacy of pegtibatinase enzyme replacement therapy in adults with classical homocystinuria in the COMPOSE phase 1/2 randomized trial. Genetics in Medicine. 2025;27:101456. doi:10.1016/j.gim.2025.101456</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep34-pegtibatinase-compose-hcu</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the scientific content in the transcript, including mechanism (metabolic sink), study design, efficacy (tHcy and methionine), safety/immunogenicity, and limitations as reported in the original article.<br />- transcript topics: Mechanism of action: metabolic sink in plasma to reduce tissue tHcy; COMPOSE study design: phase 1/2, 6 dose cohorts, 3:1 randomization; Efficacy outcomes: tHcy reductions at high doses, threshold of 100 μM; Individual patient outcomes: one case with &lt;15 μM tHcy and low methionine enabling dietary protein increase; Methionine-cycle metabolite changes indicating pathway restoration; Safety and immunogenicity: TEAEs, injection-site reactions, urticaria, antibody data</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Aud...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ficicioglu C et al., Genetics in Medicine (2025) 27, 101456 - Phase 1/2 COMPOSE trial tested subcutaneous pegtibatinase in 24 participants with classical homocystinuria; treatment was generally well tolerated and produced rapid, dose-dependent reductions in total plasma homocysteine (tHcy). Key terms: classical homocystinuria, pegtibatinase, enzyme replacement therapy, total plasma homocysteine, clinical trial.
 Study Highlights:COMPOSE randomized 24 participants across six ascending dose cohorts of pegtibatinase versus placebo to evaluate safety and effects on tHcy. Pegtibatinase was generally well tolerated with mostly mild injection-site reactions and no anaphylaxis or severe immune reactions. At 1.5 mg/kg BIW and 2.5 mg/kg BIW, geometric mean tHcy fell by 57% and 67% respectively, with all participants at these doses achieving tHcy <100 μM and one achieving normal tHcy. Anti-drug and anti-PEG antibodies were frequently detected but were typically low or transient and did not affect tHcy pharmacokinetics.
 Conclusion:Pegtibatinase was generally well tolerated and produced substantial, sustained reductions in tHcy at the two highest doses, supporting further evaluation as a potential enzyme replacement therapy for classical homocystinuria.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Safety and efficacy of pegtibatinase enzyme replacement therapy in adults with classical homocystinuria in the COMPOSE phase 1/2 randomized trial
 First author:Ficicioglu C
 Journal:Genetics in Medicine (2025) 27, 101456
 DOI:10.1016/j.gim.2025.101456
 Reference:Ficicioglu C, Thomas JA, Ganesh J, Kudrow D, Lah M, Smith WE, Guner J, McDermott S, Vaidya SA, Wilkening L, Levy HL. Safety and efficacy of pegtibatinase enzyme replacement therapy in adults with classical homocystinuria in the COMPOSE phase 1/2 randomized trial. Genetics in Medicine. 2025;27:101456. doi:10.1016/j.gim.2025.101456
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep34-pegtibatinase-compose-hcu
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the scientific content in the transcript, including mechanism (metabolic sink), study design, efficacy (tHcy and methionine), safety/immunogenicity, and limitations as reported in the original article.- transcript topics: Mechanism of action: metabolic sink in plasma to reduce tissue tHcy; COMPOSE study design: phase 1/2, 6 dose cohorts, 3:1 randomization; Efficacy outcomes: tHcy reductions at high doses, threshold of 100 μM; Individual patient outcomes: one case with <15 μM tHcy and low methionine enabling dietary protein increase; Methionine-cycle metabolite changes indicating pathway restoration; Safety and immunogenicity: TEAEs, injection-site reactions, urticaria, antibody data
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Aud...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[34: Pegtibatinase in Classical Homocystinuria (COMPOSE)]]>
                </itunes:title>
                                    <itunes:episode>34</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ficicioglu C et al., Genetics in Medicine (2025) 27, 101456 - Phase 1/2 COMPOSE trial tested subcutaneous pegtibatinase in 24 participants with classical homocystinuria; treatment was generally well tolerated and produced rapid, dose-dependent reductions in total plasma homocysteine (tHcy). Key terms: classical homocystinuria, pegtibatinase, enzyme replacement therapy, total plasma homocysteine, clinical trial.</p>
<p> Study Highlights:<br />COMPOSE randomized 24 participants across six ascending dose cohorts of pegtibatinase versus placebo to evaluate safety and effects on tHcy. Pegtibatinase was generally well tolerated with mostly mild injection-site reactions and no anaphylaxis or severe immune reactions. At 1.5 mg/kg BIW and 2.5 mg/kg BIW, geometric mean tHcy fell by 57% and 67% respectively, with all participants at these doses achieving tHcy &lt;100 μM and one achieving normal tHcy. Anti-drug and anti-PEG antibodies were frequently detected but were typically low or transient and did not affect tHcy pharmacokinetics.</p>
<p> Conclusion:<br />Pegtibatinase was generally well tolerated and produced substantial, sustained reductions in tHcy at the two highest doses, supporting further evaluation as a potential enzyme replacement therapy for classical homocystinuria.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Safety and efficacy of pegtibatinase enzyme replacement therapy in adults with classical homocystinuria in the COMPOSE phase 1/2 randomized trial</p>
<p> First author:<br />Ficicioglu C</p>
<p> Journal:<br />Genetics in Medicine (2025) 27, 101456</p>
<p> DOI:<br />10.1016/j.gim.2025.101456</p>
<p> Reference:<br />Ficicioglu C, Thomas JA, Ganesh J, Kudrow D, Lah M, Smith WE, Guner J, McDermott S, Vaidya SA, Wilkening L, Levy HL. Safety and efficacy of pegtibatinase enzyme replacement therapy in adults with classical homocystinuria in the COMPOSE phase 1/2 randomized trial. Genetics in Medicine. 2025;27:101456. doi:10.1016/j.gim.2025.101456</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/ep34-pegtibatinase-compose-hcu</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the scientific content in the transcript, including mechanism (metabolic sink), study design, efficacy (tHcy and methionine), safety/immunogenicity, and limitations as reported in the original article.<br />- transcript topics: Mechanism of action: metabolic sink in plasma to reduce tissue tHcy; COMPOSE study design: phase 1/2, 6 dose cohorts, 3:1 randomization; Efficacy outcomes: tHcy reductions at high doses, threshold of 100 μM; Individual patient outcomes: one case with &lt;15 μM tHcy and low methionine enabling dietary protein increase; Methionine-cycle metabolite changes indicating pathway restoration; Safety and immunogenicity: TEAEs, injection-site reactions, urticaria, antibody data</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Pegtibatinase evaluated in the COMPOSE phase 1/2 randomized trial<br />- Six increasing dose cohorts ranging from 0.33 mg/kg QW to 2.5 mg/kg BIW<br />- Sample size of 24 randomized participants aged 12–65 years<br />- High-dose tHcy reductions: 57% (1.5 mg/kg BIW) and 67% (2.5 mg/kg BIW)<br />- All high-dose participants maintained tHcy &lt;100 μM; one reached &lt;15 μM<br />- Methionine and other methionine-cycle metabolites shifted toward normal levels</p>
<p>QC result: Pass.</p>]]>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Ficicioglu C et al., Genetics in Medicine (2025) 27, 101456 - Phase 1/2 COMPOSE trial tested subcutaneous pegtibatinase in 24 participants with classical homocystinuria; treatment was generally well tolerated and produced rapid, dose-dependent reductions in total plasma homocysteine (tHcy). Key terms: classical homocystinuria, pegtibatinase, enzyme replacement therapy, total plasma homocysteine, clinical trial.
 Study Highlights:COMPOSE randomized 24 participants across six ascending dose cohorts of pegtibatinase versus placebo to evaluate safety and effects on tHcy. Pegtibatinase was generally well tolerated with mostly mild injection-site reactions and no anaphylaxis or severe immune reactions. At 1.5 mg/kg BIW and 2.5 mg/kg BIW, geometric mean tHcy fell by 57% and 67% respectively, with all participants at these doses achieving tHcy <100 μM and one achieving normal tHcy. Anti-drug and anti-PEG antibodies were frequently detected but were typically low or transient and did not affect tHcy pharmacokinetics.
 Conclusion:Pegtibatinase was generally well tolerated and produced substantial, sustained reductions in tHcy at the two highest doses, supporting further evaluation as a potential enzyme replacement therapy for classical homocystinuria.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Safety and efficacy of pegtibatinase enzyme replacement therapy in adults with classical homocystinuria in the COMPOSE phase 1/2 randomized trial
 First author:Ficicioglu C
 Journal:Genetics in Medicine (2025) 27, 101456
 DOI:10.1016/j.gim.2025.101456
 Reference:Ficicioglu C, Thomas JA, Ganesh J, Kudrow D, Lah M, Smith WE, Guner J, McDermott S, Vaidya SA, Wilkening L, Levy HL. Safety and efficacy of pegtibatinase enzyme replacement therapy in adults with classical homocystinuria in the COMPOSE phase 1/2 randomized trial. Genetics in Medicine. 2025;27:101456. doi:10.1016/j.gim.2025.101456
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/ep34-pegtibatinase-compose-hcu
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-06.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the scientific content in the transcript, including mechanism (metabolic sink), study design, efficacy (tHcy and methionine), safety/immunogenicity, and limitations as reported in the original article.- transcript topics: Mechanism of action: metabolic sink in plasma to reduce tissue tHcy; COMPOSE study design: phase 1/2, 6 dose cohorts, 3:1 randomization; Efficacy outcomes: tHcy reductions at high doses, threshold of 100 μM; Individual patient outcomes: one case with <15 μM tHcy and low methionine enabling dietary protein increase; Methionine-cycle metabolite changes indicating pathway restoration; Safety and immunogenicity: TEAEs, injection-site reactions, urticaria, antibody data
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Aud...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107577/c1a-p6xp7-pknj3781iqdz-njxkj3.png"></itunes:image>
                                                                            <itunes:duration>00:22:51</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[33: Targeting mis-splicing-derived neoantigens in splicing factor mutant leukemias]]>
                </title>
                <pubDate>Thu, 05 Jun 2025 09:02:16 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    4acbeaff-371d-466a-9eb8-14334b257db4</guid>
                                    <link>https://basebybase.castos.com/episodes/mis-splicing-neoantigens-tcrs-ep33</link>
                                <description>
                                            <![CDATA[<p>Kim WJ et al., Cell - This episode examines a study that identifies recurrent neoantigens produced by SRSF2 and ZRSR2 splicing factor mutations in myeloid leukemias, isolates cognate TCRs, and demonstrates antigen-specific TCR-T cell activity in vitro and in vivo. Key terms: neoantigens, SRSF2, ZRSR2, TCR-T therapy, myeloid leukemia.</p>
<p> Study Highlights:<br />The authors used large-scale RNA-seq to identify recurrent mis-spliced isoforms from SRSF2- and ZRSR2-mutant myeloid malignancies and predicted HLA-I-binding peptides. They validated peptide presentation by HLA-IP LC-MS/MS and demonstrated immunogenicity with peptide priming and dextramer isolation of reactive CD8+ T cells. Panels of neoantigen-specific TCRs were cloned from donors and patients and TCR-engineered T cells specifically recognized and killed SRSF2-mutant leukemia cells in vitro and reduced tumor burden in NSG xenografts. Single-cell profiling of patient blood showed circulating neoantigen-reactive CD8+ T cells that are clonally expanded but exhibit impaired NF-kB/TNF signaling.</p>
<p> Conclusion:<br />Recurrent mis-splicing events from splicing factor mutations generate shared, actionable neoantigens in myeloid leukemias and can be targeted by isolated TCRs, supporting TCR-based immunotherapy strategies while noting patient T cell dysfunction and HLA allele scope as limitations.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Mis-splicing-derived neoantigens and cognate TCRs in splicing factor mutant leukemias</p>
<p> First author:<br />Kim WJ</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.03.047</p>
<p> Reference:<br />Kim WJ, Crosse EI, De Neef E, et al. Mis-splicing-derived neoantigens and cognate TCRs in splicing factor mutant leukemias. Cell. 2025;188:1–19. doi:10.1016/j.cell.2025.03.047</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mis-splicing-neoantigens-tcrs-ep33</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript's representation of the article's central scientific narrative: generation of recurrent mis-splicing-derived neoantigens by SRSF2/ZRSR2 mutations, prediction and validation of HLA-I neoepitopes, isolation and characterization of neoantigen-reactive TCRs (CLK3, RHOT2, c16orf70), funct<br />- transcript topics: AML immunotherapy challenges and targeting; Splicing-factor mutations (SRSF2, ZRSR2) and stereotyped mis-splicing; Neoantigen discovery pipeline (RNA-seq, NetMHCpan, MHCFlurry, HLA-A*02:01); HLA-I binding validation (T2 shift assay) and immunogenicity testing; Dextramer-based isolation of neoantigen-reactive CD8+ T cells; CLK3 neoantigen and exon 4 skipping; NMD involvement</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Splicing-factor mutations SRSF2 and ZRSR2 generate recurrent mis-splicing-derived neoantigens expressed on HLA-I<br />- neoantigen discovery used large...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Kim WJ et al., Cell - This episode examines a study that identifies recurrent neoantigens produced by SRSF2 and ZRSR2 splicing factor mutations in myeloid leukemias, isolates cognate TCRs, and demonstrates antigen-specific TCR-T cell activity in vitro and in vivo. Key terms: neoantigens, SRSF2, ZRSR2, TCR-T therapy, myeloid leukemia.
 Study Highlights:The authors used large-scale RNA-seq to identify recurrent mis-spliced isoforms from SRSF2- and ZRSR2-mutant myeloid malignancies and predicted HLA-I-binding peptides. They validated peptide presentation by HLA-IP LC-MS/MS and demonstrated immunogenicity with peptide priming and dextramer isolation of reactive CD8+ T cells. Panels of neoantigen-specific TCRs were cloned from donors and patients and TCR-engineered T cells specifically recognized and killed SRSF2-mutant leukemia cells in vitro and reduced tumor burden in NSG xenografts. Single-cell profiling of patient blood showed circulating neoantigen-reactive CD8+ T cells that are clonally expanded but exhibit impaired NF-kB/TNF signaling.
 Conclusion:Recurrent mis-splicing events from splicing factor mutations generate shared, actionable neoantigens in myeloid leukemias and can be targeted by isolated TCRs, supporting TCR-based immunotherapy strategies while noting patient T cell dysfunction and HLA allele scope as limitations.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Mis-splicing-derived neoantigens and cognate TCRs in splicing factor mutant leukemias
 First author:Kim WJ
 Journal:Cell
 DOI:10.1016/j.cell.2025.03.047
 Reference:Kim WJ, Crosse EI, De Neef E, et al. Mis-splicing-derived neoantigens and cognate TCRs in splicing factor mutant leukemias. Cell. 2025;188:1–19. doi:10.1016/j.cell.2025.03.047
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mis-splicing-neoantigens-tcrs-ep33
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript's representation of the article's central scientific narrative: generation of recurrent mis-splicing-derived neoantigens by SRSF2/ZRSR2 mutations, prediction and validation of HLA-I neoepitopes, isolation and characterization of neoantigen-reactive TCRs (CLK3, RHOT2, c16orf70), funct- transcript topics: AML immunotherapy challenges and targeting; Splicing-factor mutations (SRSF2, ZRSR2) and stereotyped mis-splicing; Neoantigen discovery pipeline (RNA-seq, NetMHCpan, MHCFlurry, HLA-A*02:01); HLA-I binding validation (T2 shift assay) and immunogenicity testing; Dextramer-based isolation of neoantigen-reactive CD8+ T cells; CLK3 neoantigen and exon 4 skipping; NMD involvement
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Splicing-factor mutations SRSF2 and ZRSR2 generate recurrent mis-splicing-derived neoantigens expressed on HLA-I- neoantigen discovery used large...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[33: Targeting mis-splicing-derived neoantigens in splicing factor mutant leukemias]]>
                </itunes:title>
                                    <itunes:episode>33</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Kim WJ et al., Cell - This episode examines a study that identifies recurrent neoantigens produced by SRSF2 and ZRSR2 splicing factor mutations in myeloid leukemias, isolates cognate TCRs, and demonstrates antigen-specific TCR-T cell activity in vitro and in vivo. Key terms: neoantigens, SRSF2, ZRSR2, TCR-T therapy, myeloid leukemia.</p>
<p> Study Highlights:<br />The authors used large-scale RNA-seq to identify recurrent mis-spliced isoforms from SRSF2- and ZRSR2-mutant myeloid malignancies and predicted HLA-I-binding peptides. They validated peptide presentation by HLA-IP LC-MS/MS and demonstrated immunogenicity with peptide priming and dextramer isolation of reactive CD8+ T cells. Panels of neoantigen-specific TCRs were cloned from donors and patients and TCR-engineered T cells specifically recognized and killed SRSF2-mutant leukemia cells in vitro and reduced tumor burden in NSG xenografts. Single-cell profiling of patient blood showed circulating neoantigen-reactive CD8+ T cells that are clonally expanded but exhibit impaired NF-kB/TNF signaling.</p>
<p> Conclusion:<br />Recurrent mis-splicing events from splicing factor mutations generate shared, actionable neoantigens in myeloid leukemias and can be targeted by isolated TCRs, supporting TCR-based immunotherapy strategies while noting patient T cell dysfunction and HLA allele scope as limitations.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Mis-splicing-derived neoantigens and cognate TCRs in splicing factor mutant leukemias</p>
<p> First author:<br />Kim WJ</p>
<p> Journal:<br />Cell</p>
<p> DOI:<br />10.1016/j.cell.2025.03.047</p>
<p> Reference:<br />Kim WJ, Crosse EI, De Neef E, et al. Mis-splicing-derived neoantigens and cognate TCRs in splicing factor mutant leukemias. Cell. 2025;188:1–19. doi:10.1016/j.cell.2025.03.047</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/mis-splicing-neoantigens-tcrs-ep33</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript's representation of the article's central scientific narrative: generation of recurrent mis-splicing-derived neoantigens by SRSF2/ZRSR2 mutations, prediction and validation of HLA-I neoepitopes, isolation and characterization of neoantigen-reactive TCRs (CLK3, RHOT2, c16orf70), funct<br />- transcript topics: AML immunotherapy challenges and targeting; Splicing-factor mutations (SRSF2, ZRSR2) and stereotyped mis-splicing; Neoantigen discovery pipeline (RNA-seq, NetMHCpan, MHCFlurry, HLA-A*02:01); HLA-I binding validation (T2 shift assay) and immunogenicity testing; Dextramer-based isolation of neoantigen-reactive CD8+ T cells; CLK3 neoantigen and exon 4 skipping; NMD involvement</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Splicing-factor mutations SRSF2 and ZRSR2 generate recurrent mis-splicing-derived neoantigens expressed on HLA-I<br />- neoantigen discovery used large RNA-seq cohorts and in silico predictions (NetMHCpan/MHCFlurry) for HLA-A*02:01 binding<br />- CLK3-derived neoantigen results from exon 4 skipping; linked to NMD processing and surface presentation<br />- RHOT2 and c16orf70 mis-spliced transcripts yield neoantigens validated by HLA-IP LC-MS/MS and dextramer staining<br />- TCRs recognizing CLK3 neoantigen show high affinity (picomolar EC50 range) and redirect CD8+ T cells to kill SRSF2-mutant leukemia cells<br />- In vivo NSG xenograft data show CLK3 TCR-T cells reducing tumor burden with specificity and minimal off-target effects</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107578/c1e-1j569i50drzu171kv-pkn9d138tzrz-ulxegy.mp3?awCollectionId=66206&amp;awEpisodeId=4acbeaff-371d-466a-9eb8-14334b257db4&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fmis-splicing-neoantigens-tcrs-ep33&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=3ac449dc87a6a442402b9081c2981c563502b42b61d86eff651a87da1bccc761" length="34878573"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Kim WJ et al., Cell - This episode examines a study that identifies recurrent neoantigens produced by SRSF2 and ZRSR2 splicing factor mutations in myeloid leukemias, isolates cognate TCRs, and demonstrates antigen-specific TCR-T cell activity in vitro and in vivo. Key terms: neoantigens, SRSF2, ZRSR2, TCR-T therapy, myeloid leukemia.
 Study Highlights:The authors used large-scale RNA-seq to identify recurrent mis-spliced isoforms from SRSF2- and ZRSR2-mutant myeloid malignancies and predicted HLA-I-binding peptides. They validated peptide presentation by HLA-IP LC-MS/MS and demonstrated immunogenicity with peptide priming and dextramer isolation of reactive CD8+ T cells. Panels of neoantigen-specific TCRs were cloned from donors and patients and TCR-engineered T cells specifically recognized and killed SRSF2-mutant leukemia cells in vitro and reduced tumor burden in NSG xenografts. Single-cell profiling of patient blood showed circulating neoantigen-reactive CD8+ T cells that are clonally expanded but exhibit impaired NF-kB/TNF signaling.
 Conclusion:Recurrent mis-splicing events from splicing factor mutations generate shared, actionable neoantigens in myeloid leukemias and can be targeted by isolated TCRs, supporting TCR-based immunotherapy strategies while noting patient T cell dysfunction and HLA allele scope as limitations.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Mis-splicing-derived neoantigens and cognate TCRs in splicing factor mutant leukemias
 First author:Kim WJ
 Journal:Cell
 DOI:10.1016/j.cell.2025.03.047
 Reference:Kim WJ, Crosse EI, De Neef E, et al. Mis-splicing-derived neoantigens and cognate TCRs in splicing factor mutant leukemias. Cell. 2025;188:1–19. doi:10.1016/j.cell.2025.03.047
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/mis-splicing-neoantigens-tcrs-ep33
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript's representation of the article's central scientific narrative: generation of recurrent mis-splicing-derived neoantigens by SRSF2/ZRSR2 mutations, prediction and validation of HLA-I neoepitopes, isolation and characterization of neoantigen-reactive TCRs (CLK3, RHOT2, c16orf70), funct- transcript topics: AML immunotherapy challenges and targeting; Splicing-factor mutations (SRSF2, ZRSR2) and stereotyped mis-splicing; Neoantigen discovery pipeline (RNA-seq, NetMHCpan, MHCFlurry, HLA-A*02:01); HLA-I binding validation (T2 shift assay) and immunogenicity testing; Dextramer-based isolation of neoantigen-reactive CD8+ T cells; CLK3 neoantigen and exon 4 skipping; NMD involvement
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Splicing-factor mutations SRSF2 and ZRSR2 generate recurrent mis-splicing-derived neoantigens expressed on HLA-I- neoantigen discovery used large...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107578/c1a-p6xp7-v6vzgr0rsjgm-rujqz5.png"></itunes:image>
                                                                            <itunes:duration>00:20:36</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[32: Idursulfase beta improves mobility and reduces organomegaly in MPS II]]>
                </title>
                <pubDate>Thu, 05 Jun 2025 09:00:59 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    a232384e-6da9-4881-8025-baff68f2ba7a</guid>
                                    <link>https://basebybase.castos.com/episodes/idursulfase-beta-a-new-therapeutic-option-for-mps-ii-with-strong-clinical-evidence</link>
                                <description>
                                            <![CDATA[<p>Idursulfase Beta — A New Therapeutic Option for MPS II with Strong Clinical Evidence</p>
<p> Article title:<br />Efficacy and safety of idursulfase beta in the treatment of mucopolysaccharidosis II: a phase 3, two-part study compared to a historical placebo cohort</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101460</p>
<p> Reference:<br />Sohn YB, Yang A, Kim MS, Kim J, Kim JS, Oh Y, Jin DK. Efficacy and safety of idursulfase beta in the treatment of mucopolysaccharidosis II: a phase 3, two-part study compared to a historical placebo cohort. Genetics in Medicine. 2025:101460. doi:10.1016/j.gim.2025.101460</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/idursulfase-beta-a-new-therapeutic-option-for-mps-ii-with-strong-clinical-evidence</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the phase 3 two-part trial design, primary/secondary endpoints (6-MWT, GAGs/HS/DS, liver/spleen volumes, FVC), safety/ADAs/NAbs, PK, and manufacturing differences as depicted in the transcript.<br />- transcript topics: Phase 3 two-part trial design with historical placebo; 6-minute walk test efficacy; Urine GAG/HS/DS reductions; Liver and spleen volume changes; Pulmonary function (absolute FVC); Immunogenicity: anti-drug antibodies and neutralizing antibodies</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 6-MWT improvement of 62.2 meters with idursulfase beta vs 7.3 meters with historical placebo<br />- Urine total GAG reduction of -71.13% with idursulfase beta vs +21.39% with historical placebo<br />- Liver volume reduction of -26.67% with idursulfase beta vs -0.80% with historical placebo<br />- Spleen volume reduction of -26.46% with idursulfase beta vs +7.2% with historical placebo<br />- Absolute FVC change showed no significant difference (p = 0.79)<br />- Anti-drug antibodies detected in most participants; persistent NAb ~17% vs ~62.5% in comparator</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Idursulfase Beta — A New Therapeutic Option for MPS II with Strong Clinical Evidence
 Article title:Efficacy and safety of idursulfase beta in the treatment of mucopolysaccharidosis II: a phase 3, two-part study compared to a historical placebo cohort
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101460
 Reference:Sohn YB, Yang A, Kim MS, Kim J, Kim JS, Oh Y, Jin DK. Efficacy and safety of idursulfase beta in the treatment of mucopolysaccharidosis II: a phase 3, two-part study compared to a historical placebo cohort. Genetics in Medicine. 2025:101460. doi:10.1016/j.gim.2025.101460
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/idursulfase-beta-a-new-therapeutic-option-for-mps-ii-with-strong-clinical-evidence
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the phase 3 two-part trial design, primary/secondary endpoints (6-MWT, GAGs/HS/DS, liver/spleen volumes, FVC), safety/ADAs/NAbs, PK, and manufacturing differences as depicted in the transcript.- transcript topics: Phase 3 two-part trial design with historical placebo; 6-minute walk test efficacy; Urine GAG/HS/DS reductions; Liver and spleen volume changes; Pulmonary function (absolute FVC); Immunogenicity: anti-drug antibodies and neutralizing antibodies
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 6-MWT improvement of 62.2 meters with idursulfase beta vs 7.3 meters with historical placebo- Urine total GAG reduction of -71.13% with idursulfase beta vs +21.39% with historical placebo- Liver volume reduction of -26.67% with idursulfase beta vs -0.80% with historical placebo- Spleen volume reduction of -26.46% with idursulfase beta vs +7.2% with historical placebo- Absolute FVC change showed no significant difference (p = 0.79)- Anti-drug antibodies detected in most participants; persistent NAb ~17% vs ~62.5% in comparator
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[32: Idursulfase beta improves mobility and reduces organomegaly in MPS II]]>
                </itunes:title>
                                    <itunes:episode>32</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Idursulfase Beta — A New Therapeutic Option for MPS II with Strong Clinical Evidence</p>
<p> Article title:<br />Efficacy and safety of idursulfase beta in the treatment of mucopolysaccharidosis II: a phase 3, two-part study compared to a historical placebo cohort</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101460</p>
<p> Reference:<br />Sohn YB, Yang A, Kim MS, Kim J, Kim JS, Oh Y, Jin DK. Efficacy and safety of idursulfase beta in the treatment of mucopolysaccharidosis II: a phase 3, two-part study compared to a historical placebo cohort. Genetics in Medicine. 2025:101460. doi:10.1016/j.gim.2025.101460</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/idursulfase-beta-a-new-therapeutic-option-for-mps-ii-with-strong-clinical-evidence</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the phase 3 two-part trial design, primary/secondary endpoints (6-MWT, GAGs/HS/DS, liver/spleen volumes, FVC), safety/ADAs/NAbs, PK, and manufacturing differences as depicted in the transcript.<br />- transcript topics: Phase 3 two-part trial design with historical placebo; 6-minute walk test efficacy; Urine GAG/HS/DS reductions; Liver and spleen volume changes; Pulmonary function (absolute FVC); Immunogenicity: anti-drug antibodies and neutralizing antibodies</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 6-MWT improvement of 62.2 meters with idursulfase beta vs 7.3 meters with historical placebo<br />- Urine total GAG reduction of -71.13% with idursulfase beta vs +21.39% with historical placebo<br />- Liver volume reduction of -26.67% with idursulfase beta vs -0.80% with historical placebo<br />- Spleen volume reduction of -26.46% with idursulfase beta vs +7.2% with historical placebo<br />- Absolute FVC change showed no significant difference (p = 0.79)<br />- Anti-drug antibodies detected in most participants; persistent NAb ~17% vs ~62.5% in comparator</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Idursulfase Beta — A New Therapeutic Option for MPS II with Strong Clinical Evidence
 Article title:Efficacy and safety of idursulfase beta in the treatment of mucopolysaccharidosis II: a phase 3, two-part study compared to a historical placebo cohort
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101460
 Reference:Sohn YB, Yang A, Kim MS, Kim J, Kim JS, Oh Y, Jin DK. Efficacy and safety of idursulfase beta in the treatment of mucopolysaccharidosis II: a phase 3, two-part study compared to a historical placebo cohort. Genetics in Medicine. 2025:101460. doi:10.1016/j.gim.2025.101460
 Music:Enjoy the music based on this article at the end of the episode.
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/idursulfase-beta-a-new-therapeutic-option-for-mps-ii-with-strong-clinical-evidence
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the phase 3 two-part trial design, primary/secondary endpoints (6-MWT, GAGs/HS/DS, liver/spleen volumes, FVC), safety/ADAs/NAbs, PK, and manufacturing differences as depicted in the transcript.- transcript topics: Phase 3 two-part trial design with historical placebo; 6-minute walk test efficacy; Urine GAG/HS/DS reductions; Liver and spleen volume changes; Pulmonary function (absolute FVC); Immunogenicity: anti-drug antibodies and neutralizing antibodies
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 6-MWT improvement of 62.2 meters with idursulfase beta vs 7.3 meters with historical placebo- Urine total GAG reduction of -71.13% with idursulfase beta vs +21.39% with historical placebo- Liver volume reduction of -26.67% with idursulfase beta vs -0.80% with historical placebo- Spleen volume reduction of -26.46% with idursulfase beta vs +7.2% with historical placebo- Absolute FVC change showed no significant difference (p = 0.79)- Anti-drug antibodies detected in most participants; persistent NAb ~17% vs ~62.5% in comparator
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107579/c1a-p6xp7-gpjk8nd0b7ng-3sezwb.png"></itunes:image>
                                                                            <itunes:duration>00:24:46</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[31: Non-canonical FBN1 splicing in the 100k Genomes Project]]>
                </title>
                <pubDate>Thu, 05 Jun 2025 08:59:42 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    923387de-4fd8-45d1-b479-23e86856023e</guid>
                                    <link>https://basebybase.castos.com/episodes/decoding-hidden-signals-genome-sequencing-reveals-cryptic-splicing-variants-in-marfan-syndrome</link>
                                <description>
                                            <![CDATA[<p>Walker S et al., Genetics in Medicine - Genome sequencing of 78,195 participants in the 100,000 Genomes Project identified ultra-rare non-canonical FBN1 splice variants enriched among individuals recruited with familial thoracic aortic aneurysm disease (FTAAD). Experimental RNA assays confirmed aberrant splicing for most candidates, including multiple deep intronic pseudoexon events, indicating a measurable diagnostic contribution from intronic variants beyond standard clinical testing windows. Key terms: Marfan syndrome, FBN1, splicing, pseudoexon, genome sequencing.</p>
<p> Study Highlights:<br />A systematic screen of FBN1 singleton variants using SpliceAI found 20 unique candidate non-canonical splice variants in 23 families, with significant enrichment in the FTAAD cohort (OR=84, p=9.7x10^-14). Experimental validation (RT-PCR, RNAseq, minigene assays) confirmed splicing abnormalities for 16/20 variants, and nine events involved pseudoexon inclusion. Seventy percent of validated variants lay beyond the ±8 bp regions typically interrogated in clinical testing, and the authors estimate a ~3% additional diagnostic yield for unsolved FTAAD families.</p>
<p> Conclusion:<br />Expanded intronic analysis using genome sequencing combined with refined splice prediction and confirmatory RNA testing reveals non-canonical FBN1 splice variants as an important, actionable cause of previously undiagnosed Marfan/FTAAD cases and supports incorporating intronic analysis and RNA assays into clinical workflows.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome</p>
<p> First author:<br />Walker S</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101477</p>
<p> Reference:<br />Walker S, Bunyan DJ, Thomas HB, Kesim Y, Kershaw CJ, Holloway J, Wai H, Day M, Smith CL, Hawkes G, Wood AR, Weedon MN, Blair E, Curtis SL, Fielden C, Evans J, Whittington R, Smithson SF, Cox H, Clift P, McEntagart M, Prapa M, Alsters S, Morris-Rosendahl D, Dean J, Morrison PJ, Dixit A, Sarkar A, Prescott K, Riazat Kesh LA, Tharakan R, Turner C, Ellard S, Shaw-Smith C, Fasham J, Clowes V, Holden S, Somarathi S, Mercer C, Berry I, O’Keefe RT, Banka S, Baralle D, Thomas NS, Baple EL, Taylor JC, Pagnamenta AT. Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome. Genetics in Medicine (2025). DOI: https://doi.org/10.1016/j.gim.2025.101477</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/decoding-hidden-signals-genome-sequencing-reveals-cryptic-splicing-variants-in-marfan-syndrome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript’s coverage of study rationale, methods (genome sequencing, SpliceAI, RNA validation), key findings (20 variants in 23 families, 3% yield, 16/20 validations), extended analyses (windows/absolute scores), and clinical implications including cascade testing and UK Biobank replication.<br />- transcript topics: Marfan syndrome and FBN1 genetics; 100k Genomes Project dataset and FTAAD enrichment; SpliceAI-based variant prioritization and thresholds; Non-canonical intronic FBN1 splice variants (pseudoexon...</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Walker S et al., Genetics in Medicine - Genome sequencing of 78,195 participants in the 100,000 Genomes Project identified ultra-rare non-canonical FBN1 splice variants enriched among individuals recruited with familial thoracic aortic aneurysm disease (FTAAD). Experimental RNA assays confirmed aberrant splicing for most candidates, including multiple deep intronic pseudoexon events, indicating a measurable diagnostic contribution from intronic variants beyond standard clinical testing windows. Key terms: Marfan syndrome, FBN1, splicing, pseudoexon, genome sequencing.
 Study Highlights:A systematic screen of FBN1 singleton variants using SpliceAI found 20 unique candidate non-canonical splice variants in 23 families, with significant enrichment in the FTAAD cohort (OR=84, p=9.7x10^-14). Experimental validation (RT-PCR, RNAseq, minigene assays) confirmed splicing abnormalities for 16/20 variants, and nine events involved pseudoexon inclusion. Seventy percent of validated variants lay beyond the ±8 bp regions typically interrogated in clinical testing, and the authors estimate a ~3% additional diagnostic yield for unsolved FTAAD families.
 Conclusion:Expanded intronic analysis using genome sequencing combined with refined splice prediction and confirmatory RNA testing reveals non-canonical FBN1 splice variants as an important, actionable cause of previously undiagnosed Marfan/FTAAD cases and supports incorporating intronic analysis and RNA assays into clinical workflows.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome
 First author:Walker S
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101477
 Reference:Walker S, Bunyan DJ, Thomas HB, Kesim Y, Kershaw CJ, Holloway J, Wai H, Day M, Smith CL, Hawkes G, Wood AR, Weedon MN, Blair E, Curtis SL, Fielden C, Evans J, Whittington R, Smithson SF, Cox H, Clift P, McEntagart M, Prapa M, Alsters S, Morris-Rosendahl D, Dean J, Morrison PJ, Dixit A, Sarkar A, Prescott K, Riazat Kesh LA, Tharakan R, Turner C, Ellard S, Shaw-Smith C, Fasham J, Clowes V, Holden S, Somarathi S, Mercer C, Berry I, O’Keefe RT, Banka S, Baralle D, Thomas NS, Baple EL, Taylor JC, Pagnamenta AT. Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome. Genetics in Medicine (2025). DOI: https://doi.org/10.1016/j.gim.2025.101477
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/decoding-hidden-signals-genome-sequencing-reveals-cryptic-splicing-variants-in-marfan-syndrome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript’s coverage of study rationale, methods (genome sequencing, SpliceAI, RNA validation), key findings (20 variants in 23 families, 3% yield, 16/20 validations), extended analyses (windows/absolute scores), and clinical implications including cascade testing and UK Biobank replication.- transcript topics: Marfan syndrome and FBN1 genetics; 100k Genomes Project dataset and FTAAD enrichment; SpliceAI-based variant prioritization and thresholds; Non-canonical intronic FBN1 splice variants (pseudoexon...]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[31: Non-canonical FBN1 splicing in the 100k Genomes Project]]>
                </itunes:title>
                                    <itunes:episode>31</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Walker S et al., Genetics in Medicine - Genome sequencing of 78,195 participants in the 100,000 Genomes Project identified ultra-rare non-canonical FBN1 splice variants enriched among individuals recruited with familial thoracic aortic aneurysm disease (FTAAD). Experimental RNA assays confirmed aberrant splicing for most candidates, including multiple deep intronic pseudoexon events, indicating a measurable diagnostic contribution from intronic variants beyond standard clinical testing windows. Key terms: Marfan syndrome, FBN1, splicing, pseudoexon, genome sequencing.</p>
<p> Study Highlights:<br />A systematic screen of FBN1 singleton variants using SpliceAI found 20 unique candidate non-canonical splice variants in 23 families, with significant enrichment in the FTAAD cohort (OR=84, p=9.7x10^-14). Experimental validation (RT-PCR, RNAseq, minigene assays) confirmed splicing abnormalities for 16/20 variants, and nine events involved pseudoexon inclusion. Seventy percent of validated variants lay beyond the ±8 bp regions typically interrogated in clinical testing, and the authors estimate a ~3% additional diagnostic yield for unsolved FTAAD families.</p>
<p> Conclusion:<br />Expanded intronic analysis using genome sequencing combined with refined splice prediction and confirmatory RNA testing reveals non-canonical FBN1 splice variants as an important, actionable cause of previously undiagnosed Marfan/FTAAD cases and supports incorporating intronic analysis and RNA assays into clinical workflows.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome</p>
<p> First author:<br />Walker S</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />10.1016/j.gim.2025.101477</p>
<p> Reference:<br />Walker S, Bunyan DJ, Thomas HB, Kesim Y, Kershaw CJ, Holloway J, Wai H, Day M, Smith CL, Hawkes G, Wood AR, Weedon MN, Blair E, Curtis SL, Fielden C, Evans J, Whittington R, Smithson SF, Cox H, Clift P, McEntagart M, Prapa M, Alsters S, Morris-Rosendahl D, Dean J, Morrison PJ, Dixit A, Sarkar A, Prescott K, Riazat Kesh LA, Tharakan R, Turner C, Ellard S, Shaw-Smith C, Fasham J, Clowes V, Holden S, Somarathi S, Mercer C, Berry I, O’Keefe RT, Banka S, Baralle D, Thomas NS, Baple EL, Taylor JC, Pagnamenta AT. Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome. Genetics in Medicine (2025). DOI: https://doi.org/10.1016/j.gim.2025.101477</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/decoding-hidden-signals-genome-sequencing-reveals-cryptic-splicing-variants-in-marfan-syndrome</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Substantive audit of the transcript’s coverage of study rationale, methods (genome sequencing, SpliceAI, RNA validation), key findings (20 variants in 23 families, 3% yield, 16/20 validations), extended analyses (windows/absolute scores), and clinical implications including cascade testing and UK Biobank replication.<br />- transcript topics: Marfan syndrome and FBN1 genetics; 100k Genomes Project dataset and FTAAD enrichment; SpliceAI-based variant prioritization and thresholds; Non-canonical intronic FBN1 splice variants (pseudoexons, exon extension, uORF); RNA validation approaches (RT-PCR, minigene, RNAseq limitations in blood); UK Biobank replication and phenotype specificity</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Non-canonical FBN1 splice variants contribute to undiagnosed Marfan syndrome/FTAAD (~3% diagnostic yield)<br />- 21 singleton FBN1 variants predicted to affect splicing by SpliceAI (delta score &gt;= 0.5) in aggregate 78,195-person dataset<br />- 9/703 FTAAD-recruited individuals carry one of these variants; 12/77,492 in non-FTAAD; OR ~84, p ≈ 9.7×10^-14<br />- Secondary analysis identified 11 additional variants in 14 families; total 20 variants across 23 families (32 affected individuals)<br />- 70% of the 20 variants lie beyond ±8 bp from exons (deep intronic)<br />- 16/20 variants experimentally validated to affect splicing (RT-PCR and minigene); 9/20 show pseudoexonization</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Walker S et al., Genetics in Medicine - Genome sequencing of 78,195 participants in the 100,000 Genomes Project identified ultra-rare non-canonical FBN1 splice variants enriched among individuals recruited with familial thoracic aortic aneurysm disease (FTAAD). Experimental RNA assays confirmed aberrant splicing for most candidates, including multiple deep intronic pseudoexon events, indicating a measurable diagnostic contribution from intronic variants beyond standard clinical testing windows. Key terms: Marfan syndrome, FBN1, splicing, pseudoexon, genome sequencing.
 Study Highlights:A systematic screen of FBN1 singleton variants using SpliceAI found 20 unique candidate non-canonical splice variants in 23 families, with significant enrichment in the FTAAD cohort (OR=84, p=9.7x10^-14). Experimental validation (RT-PCR, RNAseq, minigene assays) confirmed splicing abnormalities for 16/20 variants, and nine events involved pseudoexon inclusion. Seventy percent of validated variants lay beyond the ±8 bp regions typically interrogated in clinical testing, and the authors estimate a ~3% additional diagnostic yield for unsolved FTAAD families.
 Conclusion:Expanded intronic analysis using genome sequencing combined with refined splice prediction and confirmatory RNA testing reveals non-canonical FBN1 splice variants as an important, actionable cause of previously undiagnosed Marfan/FTAAD cases and supports incorporating intronic analysis and RNA assays into clinical workflows.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome
 First author:Walker S
 Journal:Genetics in Medicine
 DOI:10.1016/j.gim.2025.101477
 Reference:Walker S, Bunyan DJ, Thomas HB, Kesim Y, Kershaw CJ, Holloway J, Wai H, Day M, Smith CL, Hawkes G, Wood AR, Weedon MN, Blair E, Curtis SL, Fielden C, Evans J, Whittington R, Smithson SF, Cox H, Clift P, McEntagart M, Prapa M, Alsters S, Morris-Rosendahl D, Dean J, Morrison PJ, Dixit A, Sarkar A, Prescott K, Riazat Kesh LA, Tharakan R, Turner C, Ellard S, Shaw-Smith C, Fasham J, Clowes V, Holden S, Somarathi S, Mercer C, Berry I, O’Keefe RT, Banka S, Baralle D, Thomas NS, Baple EL, Taylor JC, Pagnamenta AT. Utility of genome sequencing and group-enrichment to support splice variant interpretation in Marfan syndrome. Genetics in Medicine (2025). DOI: https://doi.org/10.1016/j.gim.2025.101477
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/decoding-hidden-signals-genome-sequencing-reveals-cryptic-splicing-variants-in-marfan-syndrome
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-05.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Substantive audit of the transcript’s coverage of study rationale, methods (genome sequencing, SpliceAI, RNA validation), key findings (20 variants in 23 families, 3% yield, 16/20 validations), extended analyses (windows/absolute scores), and clinical implications including cascade testing and UK Biobank replication.- transcript topics: Marfan syndrome and FBN1 genetics; 100k Genomes Project dataset and FTAAD enrichment; SpliceAI-based variant prioritization and thresholds; Non-canonical intronic FBN1 splice variants (pseudoexon...]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107580/c1a-p6xp7-47415n99a7g9-v3brxc.png"></itunes:image>
                                                                            <itunes:duration>00:33:14</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[30: Bi‑allelic POPDC2 variants and a recessive cardiac conduction syndrome]]>
                </title>
                <pubDate>Mon, 26 May 2025 09:23:16 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    00f74a0a-c38a-44c2-8e15-a875f4f45f66</guid>
                                    <link>https://basebybase.castos.com/episodes/popdc2-recessive-cardiac-syndrome</link>
                                <description>
                                            <![CDATA[<p>Nicastro M et al., The American Journal of Human Genetics - Researchers identify bi-allelic POPDC2 variants in multiple families causing sinus-node dysfunction, atrioventricular conduction defects and, in some cases, hypertrophic cardiomyopathy, and investigate structural, electrophysiological and population-level evidence for pathogenicity. Key terms: POPDC2, cardiac conduction, TREK-1, cAMP binding, hypertrophic cardiomyopathy.</p>
<p> Study Highlights:<br />Bi-allelic POPDC2 variants were found in four unrelated families and associated with sinus node disease, AV conduction defects and HCM. Homology models predict impaired cAMP binding by POPDC2 variants and electrophysiology shows mutant POPDC2 fails to increase TREK-1 current density. Muscle biopsy and transcriptomics place POPDC1/POPDC2 dysfunction in conduction-system cells, and population analyses of &gt;1 million individuals indicate heterozygous carriers are unlikely to develop clinical disease. Together the data support POPDC2 loss-of-function as a recessive cardiac syndrome gene.</p>
<p> Conclusion:<br />Bi-allelic loss-of-function POPDC2 variants cause an autosomal recessive cardiac syndrome marked by conduction disease and occasional hypertrophic cardiomyopathy, likely via impaired cAMP-dependent regulation of TREK-1 and disrupted POPDC1/2 stability or trafficking.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata.<br />Scope: article metadata and core scientific claims from the narration, excluding analogies, intro/outro, and music.<br />Factual QC score: 10/10.<br />Metadata QC score: 10/10.<br />Supported core claims: 6.<br />Claims flagged for review: 0.<br />Metadata checks passed: 4.<br />Metadata issues found: 0.<br />QC result: Pass.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy</p>
<p> First author:<br />Nicastro M</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.04.016</p>
<p> Reference:<br />Nicastro M, Vermeer AMC, Postema PG, et al. Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy. The American Journal of Human Genetics. 2025;112:1–18. doi:10.1016/j.ajhg.2025.04.016</p>
<p> License:<br />CC BY</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/popdc2-recessive-cardiac-syndrome</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nicastro M et al., The American Journal of Human Genetics - Researchers identify bi-allelic POPDC2 variants in multiple families causing sinus-node dysfunction, atrioventricular conduction defects and, in some cases, hypertrophic cardiomyopathy, and investigate structural, electrophysiological and population-level evidence for pathogenicity. Key terms: POPDC2, cardiac conduction, TREK-1, cAMP binding, hypertrophic cardiomyopathy.
 Study Highlights:Bi-allelic POPDC2 variants were found in four unrelated families and associated with sinus node disease, AV conduction defects and HCM. Homology models predict impaired cAMP binding by POPDC2 variants and electrophysiology shows mutant POPDC2 fails to increase TREK-1 current density. Muscle biopsy and transcriptomics place POPDC1/POPDC2 dysfunction in conduction-system cells, and population analyses of >1 million individuals indicate heterozygous carriers are unlikely to develop clinical disease. Together the data support POPDC2 loss-of-function as a recessive cardiac syndrome gene.
 Conclusion:Bi-allelic loss-of-function POPDC2 variants cause an autosomal recessive cardiac syndrome marked by conduction disease and occasional hypertrophic cardiomyopathy, likely via impaired cAMP-dependent regulation of TREK-1 and disrupted POPDC1/2 stability or trafficking.
 QC:This episode was checked against the original article PDF and publication metadata.Scope: article metadata and core scientific claims from the narration, excluding analogies, intro/outro, and music.Factual QC score: 10/10.Metadata QC score: 10/10.Supported core claims: 6.Claims flagged for review: 0.Metadata checks passed: 4.Metadata issues found: 0.QC result: Pass.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy
 First author:Nicastro M
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.04.016
 Reference:Nicastro M, Vermeer AMC, Postema PG, et al. Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy. The American Journal of Human Genetics. 2025;112:1–18. doi:10.1016/j.ajhg.2025.04.016
 License:CC BY
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/popdc2-recessive-cardiac-syndrome]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[30: Bi‑allelic POPDC2 variants and a recessive cardiac conduction syndrome]]>
                </itunes:title>
                                    <itunes:episode>30</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nicastro M et al., The American Journal of Human Genetics - Researchers identify bi-allelic POPDC2 variants in multiple families causing sinus-node dysfunction, atrioventricular conduction defects and, in some cases, hypertrophic cardiomyopathy, and investigate structural, electrophysiological and population-level evidence for pathogenicity. Key terms: POPDC2, cardiac conduction, TREK-1, cAMP binding, hypertrophic cardiomyopathy.</p>
<p> Study Highlights:<br />Bi-allelic POPDC2 variants were found in four unrelated families and associated with sinus node disease, AV conduction defects and HCM. Homology models predict impaired cAMP binding by POPDC2 variants and electrophysiology shows mutant POPDC2 fails to increase TREK-1 current density. Muscle biopsy and transcriptomics place POPDC1/POPDC2 dysfunction in conduction-system cells, and population analyses of &gt;1 million individuals indicate heterozygous carriers are unlikely to develop clinical disease. Together the data support POPDC2 loss-of-function as a recessive cardiac syndrome gene.</p>
<p> Conclusion:<br />Bi-allelic loss-of-function POPDC2 variants cause an autosomal recessive cardiac syndrome marked by conduction disease and occasional hypertrophic cardiomyopathy, likely via impaired cAMP-dependent regulation of TREK-1 and disrupted POPDC1/2 stability or trafficking.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata.<br />Scope: article metadata and core scientific claims from the narration, excluding analogies, intro/outro, and music.<br />Factual QC score: 10/10.<br />Metadata QC score: 10/10.<br />Supported core claims: 6.<br />Claims flagged for review: 0.<br />Metadata checks passed: 4.<br />Metadata issues found: 0.<br />QC result: Pass.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy</p>
<p> First author:<br />Nicastro M</p>
<p> Journal:<br />The American Journal of Human Genetics</p>
<p> DOI:<br />10.1016/j.ajhg.2025.04.016</p>
<p> Reference:<br />Nicastro M, Vermeer AMC, Postema PG, et al. Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy. The American Journal of Human Genetics. 2025;112:1–18. doi:10.1016/j.ajhg.2025.04.016</p>
<p> License:<br />CC BY</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/popdc2-recessive-cardiac-syndrome</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Nicastro M et al., The American Journal of Human Genetics - Researchers identify bi-allelic POPDC2 variants in multiple families causing sinus-node dysfunction, atrioventricular conduction defects and, in some cases, hypertrophic cardiomyopathy, and investigate structural, electrophysiological and population-level evidence for pathogenicity. Key terms: POPDC2, cardiac conduction, TREK-1, cAMP binding, hypertrophic cardiomyopathy.
 Study Highlights:Bi-allelic POPDC2 variants were found in four unrelated families and associated with sinus node disease, AV conduction defects and HCM. Homology models predict impaired cAMP binding by POPDC2 variants and electrophysiology shows mutant POPDC2 fails to increase TREK-1 current density. Muscle biopsy and transcriptomics place POPDC1/POPDC2 dysfunction in conduction-system cells, and population analyses of >1 million individuals indicate heterozygous carriers are unlikely to develop clinical disease. Together the data support POPDC2 loss-of-function as a recessive cardiac syndrome gene.
 Conclusion:Bi-allelic loss-of-function POPDC2 variants cause an autosomal recessive cardiac syndrome marked by conduction disease and occasional hypertrophic cardiomyopathy, likely via impaired cAMP-dependent regulation of TREK-1 and disrupted POPDC1/2 stability or trafficking.
 QC:This episode was checked against the original article PDF and publication metadata.Scope: article metadata and core scientific claims from the narration, excluding analogies, intro/outro, and music.Factual QC score: 10/10.Metadata QC score: 10/10.Supported core claims: 6.Claims flagged for review: 0.Metadata checks passed: 4.Metadata issues found: 0.QC result: Pass.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy
 First author:Nicastro M
 Journal:The American Journal of Human Genetics
 DOI:10.1016/j.ajhg.2025.04.016
 Reference:Nicastro M, Vermeer AMC, Postema PG, et al. Bi-allelic variants in POPDC2 cause an autosomal recessive syndrome presenting with cardiac conduction defects and hypertrophic cardiomyopathy. The American Journal of Human Genetics. 2025;112:1–18. doi:10.1016/j.ajhg.2025.04.016
 License:CC BY
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/popdc2-recessive-cardiac-syndrome]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107581/c1a-p6xp7-mkgn988gsdm-pffnjr.png"></itunes:image>
                                                                            <itunes:duration>00:26:19</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[29: Rethinking Agency: Predictors of Genetic Testing Intention among Latinos]]>
                </title>
                <pubDate>Fri, 23 May 2025 11:12:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    c6b6a629-f301-4d2b-9c8c-e788fd443bf0</guid>
                                    <link>https://basebybase.castos.com/episodes/rethinking-agency-genetic-testing-latinos</link>
                                <description>
                                            <![CDATA[<p>Chavez-Yenter D et al., Genetics in Medicine - A cross-sectional SEM study of 503 English-fluent Latino adults applied the Integrated Behavioral Model to identify predictors of intention for carrier screening (CS) and cancer predisposition testing (CPT). Perceived agency emerged as the strongest predictor for both testing types, with family/friend norms supporting CS and attitudes showing negative associations. Key terms: Latino, carrier screening, cancer predisposition testing, integrated behavioral model, agency.</p>
<p> Study Highlights:<br />Using confirmatory factor analysis and structural equation models, the authors assessed attitudes, norms, and perceived agency as predictors of intention to use carrier screening and cancer predisposition testing among 503 English-speaking Latino adults. Perceived agency (self-efficacy and perceived control) was the most consistent predictor for both CS (β=.381, p&lt;.01) and CPT (β=.559, p&lt;.01). Norms from family and friends positively predicted CS intention (β=.350, p&lt;.01) while attitudes were negatively associated with CS (β=-.313, p=.028) and marginally negatively associated with CPT (β=-.277, p=.053). Demographic and clinical covariates (age, gender, income, subethnicity, insurance) had smaller but significant associations with intention.</p>
<p> Conclusion:<br />To improve genetic testing uptake among Latino populations, interventions should prioritize strengthening perceived agency (navigation, referral, access) and leveraging family/friend normative influences rather than focusing solely on attitude/knowledge campaigns.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata.<br />Scope: article metadata and core scientific claims from the narration, excluding analogies, intro/outro, and music.<br />Factual QC score: 10/10.<br />Metadata QC score: 10/10.<br />Supported core claims: 4.<br />Claims flagged for review: 0.<br />Metadata checks passed: 4.<br />Metadata issues found: 0.<br />QC result: Pass.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Rethinking Agency for Genetic Testing Intention among Latinos: Determining Predictors of Intention for Carrier Screening and Cancer Predisposition Testing</p>
<p> First author:<br />Chavez-Yenter D</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />https://doi.org/10.1016/j.gim.2025.101455</p>
<p> Reference:<br />Chavez-Yenter D, Kaphingst KA. Rethinking Agency for Genetic Testing Intention among Latinos: Determining Predictors of Intention for Carrier Screening and Cancer Predisposition Testing. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101455</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/rethinking-agency-genetic-testing-latinos</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Chavez-Yenter D et al., Genetics in Medicine - A cross-sectional SEM study of 503 English-fluent Latino adults applied the Integrated Behavioral Model to identify predictors of intention for carrier screening (CS) and cancer predisposition testing (CPT). Perceived agency emerged as the strongest predictor for both testing types, with family/friend norms supporting CS and attitudes showing negative associations. Key terms: Latino, carrier screening, cancer predisposition testing, integrated behavioral model, agency.
 Study Highlights:Using confirmatory factor analysis and structural equation models, the authors assessed attitudes, norms, and perceived agency as predictors of intention to use carrier screening and cancer predisposition testing among 503 English-speaking Latino adults. Perceived agency (self-efficacy and perceived control) was the most consistent predictor for both CS (β=.381, p<.01) and CPT (β=.559, p<.01). Norms from family and friends positively predicted CS intention (β=.350, p<.01) while attitudes were negatively associated with CS (β=-.313, p=.028) and marginally negatively associated with CPT (β=-.277, p=.053). Demographic and clinical covariates (age, gender, income, subethnicity, insurance) had smaller but significant associations with intention.
 Conclusion:To improve genetic testing uptake among Latino populations, interventions should prioritize strengthening perceived agency (navigation, referral, access) and leveraging family/friend normative influences rather than focusing solely on attitude/knowledge campaigns.
 QC:This episode was checked against the original article PDF and publication metadata.Scope: article metadata and core scientific claims from the narration, excluding analogies, intro/outro, and music.Factual QC score: 10/10.Metadata QC score: 10/10.Supported core claims: 4.Claims flagged for review: 0.Metadata checks passed: 4.Metadata issues found: 0.QC result: Pass.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Rethinking Agency for Genetic Testing Intention among Latinos: Determining Predictors of Intention for Carrier Screening and Cancer Predisposition Testing
 First author:Chavez-Yenter D
 Journal:Genetics in Medicine
 DOI:https://doi.org/10.1016/j.gim.2025.101455
 Reference:Chavez-Yenter D, Kaphingst KA. Rethinking Agency for Genetic Testing Intention among Latinos: Determining Predictors of Intention for Carrier Screening and Cancer Predisposition Testing. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101455
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/rethinking-agency-genetic-testing-latinos]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[29: Rethinking Agency: Predictors of Genetic Testing Intention among Latinos]]>
                </itunes:title>
                                    <itunes:episode>29</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Chavez-Yenter D et al., Genetics in Medicine - A cross-sectional SEM study of 503 English-fluent Latino adults applied the Integrated Behavioral Model to identify predictors of intention for carrier screening (CS) and cancer predisposition testing (CPT). Perceived agency emerged as the strongest predictor for both testing types, with family/friend norms supporting CS and attitudes showing negative associations. Key terms: Latino, carrier screening, cancer predisposition testing, integrated behavioral model, agency.</p>
<p> Study Highlights:<br />Using confirmatory factor analysis and structural equation models, the authors assessed attitudes, norms, and perceived agency as predictors of intention to use carrier screening and cancer predisposition testing among 503 English-speaking Latino adults. Perceived agency (self-efficacy and perceived control) was the most consistent predictor for both CS (β=.381, p&lt;.01) and CPT (β=.559, p&lt;.01). Norms from family and friends positively predicted CS intention (β=.350, p&lt;.01) while attitudes were negatively associated with CS (β=-.313, p=.028) and marginally negatively associated with CPT (β=-.277, p=.053). Demographic and clinical covariates (age, gender, income, subethnicity, insurance) had smaller but significant associations with intention.</p>
<p> Conclusion:<br />To improve genetic testing uptake among Latino populations, interventions should prioritize strengthening perceived agency (navigation, referral, access) and leveraging family/friend normative influences rather than focusing solely on attitude/knowledge campaigns.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata.<br />Scope: article metadata and core scientific claims from the narration, excluding analogies, intro/outro, and music.<br />Factual QC score: 10/10.<br />Metadata QC score: 10/10.<br />Supported core claims: 4.<br />Claims flagged for review: 0.<br />Metadata checks passed: 4.<br />Metadata issues found: 0.<br />QC result: Pass.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />Rethinking Agency for Genetic Testing Intention among Latinos: Determining Predictors of Intention for Carrier Screening and Cancer Predisposition Testing</p>
<p> First author:<br />Chavez-Yenter D</p>
<p> Journal:<br />Genetics in Medicine</p>
<p> DOI:<br />https://doi.org/10.1016/j.gim.2025.101455</p>
<p> Reference:<br />Chavez-Yenter D, Kaphingst KA. Rethinking Agency for Genetic Testing Intention among Latinos: Determining Predictors of Intention for Carrier Screening and Cancer Predisposition Testing. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101455</p>
<p> License:<br />© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/rethinking-agency-genetic-testing-latinos</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Chavez-Yenter D et al., Genetics in Medicine - A cross-sectional SEM study of 503 English-fluent Latino adults applied the Integrated Behavioral Model to identify predictors of intention for carrier screening (CS) and cancer predisposition testing (CPT). Perceived agency emerged as the strongest predictor for both testing types, with family/friend norms supporting CS and attitudes showing negative associations. Key terms: Latino, carrier screening, cancer predisposition testing, integrated behavioral model, agency.
 Study Highlights:Using confirmatory factor analysis and structural equation models, the authors assessed attitudes, norms, and perceived agency as predictors of intention to use carrier screening and cancer predisposition testing among 503 English-speaking Latino adults. Perceived agency (self-efficacy and perceived control) was the most consistent predictor for both CS (β=.381, p<.01) and CPT (β=.559, p<.01). Norms from family and friends positively predicted CS intention (β=.350, p<.01) while attitudes were negatively associated with CS (β=-.313, p=.028) and marginally negatively associated with CPT (β=-.277, p=.053). Demographic and clinical covariates (age, gender, income, subethnicity, insurance) had smaller but significant associations with intention.
 Conclusion:To improve genetic testing uptake among Latino populations, interventions should prioritize strengthening perceived agency (navigation, referral, access) and leveraging family/friend normative influences rather than focusing solely on attitude/knowledge campaigns.
 QC:This episode was checked against the original article PDF and publication metadata.Scope: article metadata and core scientific claims from the narration, excluding analogies, intro/outro, and music.Factual QC score: 10/10.Metadata QC score: 10/10.Supported core claims: 4.Claims flagged for review: 0.Metadata checks passed: 4.Metadata issues found: 0.QC result: Pass.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:Rethinking Agency for Genetic Testing Intention among Latinos: Determining Predictors of Intention for Carrier Screening and Cancer Predisposition Testing
 First author:Chavez-Yenter D
 Journal:Genetics in Medicine
 DOI:https://doi.org/10.1016/j.gim.2025.101455
 Reference:Chavez-Yenter D, Kaphingst KA. Rethinking Agency for Genetic Testing Intention among Latinos: Determining Predictors of Intention for Carrier Screening and Cancer Predisposition Testing. Genetics in Medicine (2025). doi: https://doi.org/10.1016/j.gim.2025.101455
 License:© 2025 Published by Elsevier Inc. on behalf of American College of Medical Genetics and Genomics.
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/rethinking-agency-genetic-testing-latinos]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107582/c1a-p6xp7-gp5xj4qnfpk1-o7kp7p.png"></itunes:image>
                                                                            <itunes:duration>00:16:18</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[28: scPrediXcan: Deep learning meets single-cell TWAS]]>
                </title>
                <pubDate>Thu, 22 May 2025 11:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    0927c0d2-01fd-40a2-9b11-2e0c6ca0630b</guid>
                                    <link>https://basebybase.castos.com/episodes/scpredixcan-cell-type-twas</link>
                                <description>
                                            <![CDATA[<p>Zhou Y et al., Cell Genomics - This paper introduces scPrediXcan, which combines a deep-learning model (ctPred) built on Enformer-derived features with single-cell RNA-seq to perform cell-type-specific TWAS via a linearized SNP predictor (ℓ-ctPred), improving gene discovery for T2D and SLE. Key terms: cell-type-specific expression, deep learning, TWAS, single-cell RNA-seq, GWAS.</p>
<p> Study Highlights:<br />The authors developed ctPred, a compact deep-learning model that uses Enformer epigenomic features to predict cell-type-specific pseudobulk expression. They linearized ctPred into ℓ-ctPred (SNP-based elastic net) so predictions can be used with GWAS summary statistics in S-PrediXcan. Applied to type 2 diabetes and systemic lupus erythematosus, scPrediXcan identifies more candidate causal genes, explains more GWAS loci, and provides cell-type-resolved insights compared with canonical TWAS approaches. Models and weights for 46 cell types are released via predictdb.org for community use.</p>
<p> Conclusion:<br />scPrediXcan leverages sequence-based deep learning and single-cell data to enable cell-type-level TWAS with higher power and broader gene coverage than canonical methods, offering improved mechanistic resolution for complex traits while noting limitations related to model biases and cis-focused inference.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework</p>
<p> First author:<br />Zhou Y</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100875</p>
<p> Reference:<br />Zhou Y., Adeluwa T., Zhu L., Salazar-Magaña S., Sumner S., Kim H., Gona S., Nyasimi F., Kulkarni R., Powell J.E., Madduri R., Liu B., Chen M., Im H.K. scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework. Cell Genomics. 2025;5:100875. doi:10.1016/j.xgen.2025.100875</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/scpredixcan-cell-type-twas</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript for substantive scientific content: ctPred architecture, Enformer-derived features, ℓ-ctPred linearization, S-PrediXcan integration, disease results (T2D and SLE) with cell-type specificity, limitations (directionality, distal enhancers, ancestry), and public resources.<br />- transcript topics: Cell-type-specific TWAS rationale vs bulk tissue TWAS; ctPred architecture and Enformer-derived epigenomic features; ℓ-ctPred linearization and S-PrediXcan integration; Comparison with PEN and scalability considerations; T2D results in islet cell types (gamma, stellate cells) and bulk vs pseudobulk; SLE results in immune cell types (T cells, monocytes; CFB, CXCR5)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br /></p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zhou Y et al., Cell Genomics - This paper introduces scPrediXcan, which combines a deep-learning model (ctPred) built on Enformer-derived features with single-cell RNA-seq to perform cell-type-specific TWAS via a linearized SNP predictor (ℓ-ctPred), improving gene discovery for T2D and SLE. Key terms: cell-type-specific expression, deep learning, TWAS, single-cell RNA-seq, GWAS.
 Study Highlights:The authors developed ctPred, a compact deep-learning model that uses Enformer epigenomic features to predict cell-type-specific pseudobulk expression. They linearized ctPred into ℓ-ctPred (SNP-based elastic net) so predictions can be used with GWAS summary statistics in S-PrediXcan. Applied to type 2 diabetes and systemic lupus erythematosus, scPrediXcan identifies more candidate causal genes, explains more GWAS loci, and provides cell-type-resolved insights compared with canonical TWAS approaches. Models and weights for 46 cell types are released via predictdb.org for community use.
 Conclusion:scPrediXcan leverages sequence-based deep learning and single-cell data to enable cell-type-level TWAS with higher power and broader gene coverage than canonical methods, offering improved mechanistic resolution for complex traits while noting limitations related to model biases and cis-focused inference.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework
 First author:Zhou Y
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100875
 Reference:Zhou Y., Adeluwa T., Zhu L., Salazar-Magaña S., Sumner S., Kim H., Gona S., Nyasimi F., Kulkarni R., Powell J.E., Madduri R., Liu B., Chen M., Im H.K. scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework. Cell Genomics. 2025;5:100875. doi:10.1016/j.xgen.2025.100875
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/scpredixcan-cell-type-twas
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript for substantive scientific content: ctPred architecture, Enformer-derived features, ℓ-ctPred linearization, S-PrediXcan integration, disease results (T2D and SLE) with cell-type specificity, limitations (directionality, distal enhancers, ancestry), and public resources.- transcript topics: Cell-type-specific TWAS rationale vs bulk tissue TWAS; ctPred architecture and Enformer-derived epigenomic features; ℓ-ctPred linearization and S-PrediXcan integration; Comparison with PEN and scalability considerations; T2D results in islet cell types (gamma, stellate cells) and bulk vs pseudobulk; SLE results in immune cell types (T cells, monocytes; CFB, CXCR5)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[28: scPrediXcan: Deep learning meets single-cell TWAS]]>
                </itunes:title>
                                    <itunes:episode>28</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zhou Y et al., Cell Genomics - This paper introduces scPrediXcan, which combines a deep-learning model (ctPred) built on Enformer-derived features with single-cell RNA-seq to perform cell-type-specific TWAS via a linearized SNP predictor (ℓ-ctPred), improving gene discovery for T2D and SLE. Key terms: cell-type-specific expression, deep learning, TWAS, single-cell RNA-seq, GWAS.</p>
<p> Study Highlights:<br />The authors developed ctPred, a compact deep-learning model that uses Enformer epigenomic features to predict cell-type-specific pseudobulk expression. They linearized ctPred into ℓ-ctPred (SNP-based elastic net) so predictions can be used with GWAS summary statistics in S-PrediXcan. Applied to type 2 diabetes and systemic lupus erythematosus, scPrediXcan identifies more candidate causal genes, explains more GWAS loci, and provides cell-type-resolved insights compared with canonical TWAS approaches. Models and weights for 46 cell types are released via predictdb.org for community use.</p>
<p> Conclusion:<br />scPrediXcan leverages sequence-based deep learning and single-cell data to enable cell-type-level TWAS with higher power and broader gene coverage than canonical methods, offering improved mechanistic resolution for complex traits while noting limitations related to model biases and cis-focused inference.</p>
<p> Music:<br />Enjoy the music based on this article at the end of the episode.</p>
<p> Article title:<br />scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework</p>
<p> First author:<br />Zhou Y</p>
<p> Journal:<br />Cell Genomics</p>
<p> DOI:<br />10.1016/j.xgen.2025.100875</p>
<p> Reference:<br />Zhou Y., Adeluwa T., Zhu L., Salazar-Magaña S., Sumner S., Kim H., Gona S., Nyasimi F., Kulkarni R., Powell J.E., Madduri R., Liu B., Chen M., Im H.K. scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework. Cell Genomics. 2025;5:100875. doi:10.1016/j.xgen.2025.100875</p>
<p> License:<br />This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/</p>
<p> Support:<br />Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00</p>
<p> Official website https://basebybase.com</p>
<p>On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.</p>
<p> Episode link: https://basebybase.com/episodes/scpredixcan-cell-type-twas</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-22.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music<br />- transcript coverage: Audited the transcript for substantive scientific content: ctPred architecture, Enformer-derived features, ℓ-ctPred linearization, S-PrediXcan integration, disease results (T2D and SLE) with cell-type specificity, limitations (directionality, distal enhancers, ancestry), and public resources.<br />- transcript topics: Cell-type-specific TWAS rationale vs bulk tissue TWAS; ctPred architecture and Enformer-derived epigenomic features; ℓ-ctPred linearization and S-PrediXcan integration; Comparison with PEN and scalability considerations; T2D results in islet cell types (gamma, stellate cells) and bulk vs pseudobulk; SLE results in immune cell types (T cells, monocytes; CFB, CXCR5)</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ctPred uses Enformer-derived epigenomic features and a lightweight four-layer MLP to predict cell-type-specific expression<br />- ℓ-ctPred is a SNP-based elastic net linearization enabling TWAS with GWAS summary statistics (S-PrediXcan)<br />- ctPred predictions are cross-validated across cell types with high Pearson correlations (0.753–0.892 reported in the article)<br />- Enformer input window around TSS is 196,608 bp and yields 5,313 epigenomic features<br />- T2D: scPrediXcan identified 222 candidate genes across 108 LD blocks vs 12 genes across 11 LD blocks (TWAS-pseudobulk) and 111 genes across 64 LD blocks (TWAS-bulk)<br />- SLE: scPrediXcan identified 129 genes across 24 LD blocks vs 11 (TWAS-pseudobulk) and 54 (TWAS-bulk) across LD blocks</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Zhou Y et al., Cell Genomics - This paper introduces scPrediXcan, which combines a deep-learning model (ctPred) built on Enformer-derived features with single-cell RNA-seq to perform cell-type-specific TWAS via a linearized SNP predictor (ℓ-ctPred), improving gene discovery for T2D and SLE. Key terms: cell-type-specific expression, deep learning, TWAS, single-cell RNA-seq, GWAS.
 Study Highlights:The authors developed ctPred, a compact deep-learning model that uses Enformer epigenomic features to predict cell-type-specific pseudobulk expression. They linearized ctPred into ℓ-ctPred (SNP-based elastic net) so predictions can be used with GWAS summary statistics in S-PrediXcan. Applied to type 2 diabetes and systemic lupus erythematosus, scPrediXcan identifies more candidate causal genes, explains more GWAS loci, and provides cell-type-resolved insights compared with canonical TWAS approaches. Models and weights for 46 cell types are released via predictdb.org for community use.
 Conclusion:scPrediXcan leverages sequence-based deep learning and single-cell data to enable cell-type-level TWAS with higher power and broader gene coverage than canonical methods, offering improved mechanistic resolution for complex traits while noting limitations related to model biases and cis-focused inference.
 Music:Enjoy the music based on this article at the end of the episode.
 Article title:scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework
 First author:Zhou Y
 Journal:Cell Genomics
 DOI:10.1016/j.xgen.2025.100875
 Reference:Zhou Y., Adeluwa T., Zhu L., Salazar-Magaña S., Sumner S., Kim H., Gona S., Nyasimi F., Kulkarni R., Powell J.E., Madduri R., Liu B., Chen M., Im H.K. scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework. Cell Genomics. 2025;5:100875. doi:10.1016/j.xgen.2025.100875
 License:This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
 Support:Base by Base – Stripe donations: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00
 Official website https://basebybase.com
On PaperCast Base by Base you’ll discover the latest in genomics, functional genomics, structural genomics, and proteomics.
 Episode link: https://basebybase.com/episodes/scpredixcan-cell-type-twas
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-22.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music- transcript coverage: Audited the transcript for substantive scientific content: ctPred architecture, Enformer-derived features, ℓ-ctPred linearization, S-PrediXcan integration, disease results (T2D and SLE) with cell-type specificity, limitations (directionality, distal enhancers, ancestry), and public resources.- transcript topics: Cell-type-specific TWAS rationale vs bulk tissue TWAS; ctPred architecture and Enformer-derived epigenomic features; ℓ-ctPred linearization and S-PrediXcan integration; Comparison with PEN and scalability considerations; T2D results in islet cell types (gamma, stellate cells) and bulk vs pseudobulk; SLE results in immune cell types (T cells, monocytes; CFB, CXCR5)
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107583/c1a-p6xp7-1p2d8921s465-vbv5sn.png"></itunes:image>
                                                                            <itunes:duration>00:25:04</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[27: ENVLPE+: Shuttling VLPs that load functional CRISPR RNPs]]>
                </title>
                <pubDate>Wed, 21 May 2025 09:38:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    c9117b96-9c9a-4dc5-a74b-02a71eafbf4f</guid>
                                    <link>https://basebybase.castos.com/episodes/envlpe-vlp-prime-editing</link>
                                <description>
                                            <![CDATA[<p>Geilenkeuser J et al., Cell - A Cell paper describing ENVLPE/ENVLPE+, virus-like particles engineered with nucleocytosolic-shuttling Gag-PCP to recruit aptamer-tagged (pe)gRNAs and preferentially package fully assembled CRISPR RNPs. Csy4-mediated 3' protection of pegRNAs and modular minimal budding modules boost prime and base editing in cells and restore gene function in retinal mouse models. Key terms: VLP, prime editing, pegRNA stabilization, Csy4, gene delivery.</p>
<p> Study Highlights:<br />The authors engineered nucleocytosolic-shuttling Gag-PCP VLPs (ENVLPE) that retrieve assembled Cas effector RNPs via PP7-aptamer-tagged (pe)gRNAs, increasing the fraction of functional cargo. Co-expression of Csy4 stabilizes pegRNA 3' ends and markedly improves prime editing rates during RNP delivery. A minimal homomeric “miniENVLPE” and an enhanced ENVLPE+ with GCN4 coiled coils achieve high per-particle loading of Cas9 and pegRNA. ENVLPE+ outperforms prior eVLP systems ex vivo in primary T cells and in vivo in two mouse retinal disease models, restoring protein expression and visual function.</p>
<p> Conclusion:<br />ENVLPE+ is a modular VLP platform that preferentially packages intact RNP editors via aptamer-tagged (pe)gRNAs and uses Csy4 to protect pegRNA 3' ends, producing higher per-particle editing efficiency and demonstrating therapeutic potential in ex vivo and in vivo models.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ENVLPE enables loading of fully assembled editor RNPs by recruiting PP7-tagged gRNAs via Gag-PCP, rather than fusing Cas9 to Gag.<br />- Csy4/Cas6f protection fortifies the pegRNA 3' end, increasing prime editing efficiency in ENVLPE.<br />- ENVLPE+ improves per-particle loading and editing efficacy via GCN4 coiled-coil enhancement.<br />- ENVLPE+ particles carry high cargo per particle (around 78 Cas9 and 77 pegRNAs) and outperform prior VLPs per particle.<br />- In hiPSC-derived cortical neurons, ENVLPE/ENVLPE+ achieve about 90% base editing at the B2M locus.<br />- ENVLPE+ enables in vivo prime editing in inherited retinal disease models, restoring gene function and improving visual outcomes.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Geilenkeuser J et al., Cell - A Cell paper describing ENVLPE/ENVLPE+, virus-like particles engineered with nucleocytosolic-shuttling Gag-PCP to recruit aptamer-tagged (pe)gRNAs and preferentially package fully assembled CRISPR RNPs. Csy4-mediated 3' protection of pegRNAs and modular minimal budding modules boost prime and base editing in cells and restore gene function in retinal mouse models. Key terms: VLP, prime editing, pegRNA stabilization, Csy4, gene delivery.
 Study Highlights:The authors engineered nucleocytosolic-shuttling Gag-PCP VLPs (ENVLPE) that retrieve assembled Cas effector RNPs via PP7-aptamer-tagged (pe)gRNAs, increasing the fraction of functional cargo. Co-expression of Csy4 stabilizes pegRNA 3' ends and markedly improves prime editing rates during RNP delivery. A minimal homomeric “miniENVLPE” and an enhanced ENVLPE+ with GCN4 coiled coils achieve high per-particle loading of Cas9 and pegRNA. ENVLPE+ outperforms prior eVLP systems ex vivo in primary T cells and in vivo in two mouse retinal disease models, restoring protein expression and visual function.
 Conclusion:ENVLPE+ is a modular VLP platform that preferentially packages intact RNP editors via aptamer-tagged (pe)gRNAs and uses Csy4 to protect pegRNA 3' ends, producing higher per-particle editing efficiency and demonstrating therapeutic potential in ex vivo and in vivo models.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- ENVLPE enables loading of fully assembled editor RNPs by recruiting PP7-tagged gRNAs via Gag-PCP, rather than fusing Cas9 to Gag.- Csy4/Cas6f protection fortifies the pegRNA 3' end, increasing prime editing efficiency in ENVLPE.- ENVLPE+ improves per-particle loading and editing efficacy via GCN4 coiled-coil enhancement.- ENVLPE+ particles carry high cargo per particle (around 78 Cas9 and 77 pegRNAs) and outperform prior VLPs per particle.- In hiPSC-derived cortical neurons, ENVLPE/ENVLPE+ achieve about 90% base editing at the B2M locus.- ENVLPE+ enables in vivo prime editing in inherited retinal disease models, restoring gene function and improving visual outcomes.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[27: ENVLPE+: Shuttling VLPs that load functional CRISPR RNPs]]>
                </itunes:title>
                                    <itunes:episode>27</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Geilenkeuser J et al., Cell - A Cell paper describing ENVLPE/ENVLPE+, virus-like particles engineered with nucleocytosolic-shuttling Gag-PCP to recruit aptamer-tagged (pe)gRNAs and preferentially package fully assembled CRISPR RNPs. Csy4-mediated 3' protection of pegRNAs and modular minimal budding modules boost prime and base editing in cells and restore gene function in retinal mouse models. Key terms: VLP, prime editing, pegRNA stabilization, Csy4, gene delivery.</p>
<p> Study Highlights:<br />The authors engineered nucleocytosolic-shuttling Gag-PCP VLPs (ENVLPE) that retrieve assembled Cas effector RNPs via PP7-aptamer-tagged (pe)gRNAs, increasing the fraction of functional cargo. Co-expression of Csy4 stabilizes pegRNA 3' ends and markedly improves prime editing rates during RNP delivery. A minimal homomeric “miniENVLPE” and an enhanced ENVLPE+ with GCN4 coiled coils achieve high per-particle loading of Cas9 and pegRNA. ENVLPE+ outperforms prior eVLP systems ex vivo in primary T cells and in vivo in two mouse retinal disease models, restoring protein expression and visual function.</p>
<p> Conclusion:<br />ENVLPE+ is a modular VLP platform that preferentially packages intact RNP editors via aptamer-tagged (pe)gRNAs and uses Csy4 to protect pegRNA 3' ends, producing higher per-particle editing efficiency and demonstrating therapeutic potential in ex vivo and in vivo models.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-21.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- ENVLPE enables loading of fully assembled editor RNPs by recruiting PP7-tagged gRNAs via Gag-PCP, rather than fusing Cas9 to Gag.<br />- Csy4/Cas6f protection fortifies the pegRNA 3' end, increasing prime editing efficiency in ENVLPE.<br />- ENVLPE+ improves per-particle loading and editing efficacy via GCN4 coiled-coil enhancement.<br />- ENVLPE+ particles carry high cargo per particle (around 78 Cas9 and 77 pegRNAs) and outperform prior VLPs per particle.<br />- In hiPSC-derived cortical neurons, ENVLPE/ENVLPE+ achieve about 90% base editing at the B2M locus.<br />- ENVLPE+ enables in vivo prime editing in inherited retinal disease models, restoring gene function and improving visual outcomes.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Geilenkeuser J et al., Cell - A Cell paper describing ENVLPE/ENVLPE+, virus-like particles engineered with nucleocytosolic-shuttling Gag-PCP to recruit aptamer-tagged (pe)gRNAs and preferentially package fully assembled CRISPR RNPs. Csy4-mediated 3' protection of pegRNAs and modular minimal budding modules boost prime and base editing in cells and restore gene function in retinal mouse models. Key terms: VLP, prime editing, pegRNA stabilization, Csy4, gene delivery.
 Study Highlights:The authors engineered nucleocytosolic-shuttling Gag-PCP VLPs (ENVLPE) that retrieve assembled Cas effector RNPs via PP7-aptamer-tagged (pe)gRNAs, increasing the fraction of functional cargo. Co-expression of Csy4 stabilizes pegRNA 3' ends and markedly improves prime editing rates during RNP delivery. A minimal homomeric “miniENVLPE” and an enhanced ENVLPE+ with GCN4 coiled coils achieve high per-particle loading of Cas9 and pegRNA. ENVLPE+ outperforms prior eVLP systems ex vivo in primary T cells and in vivo in two mouse retinal disease models, restoring protein expression and visual function.
 Conclusion:ENVLPE+ is a modular VLP platform that preferentially packages intact RNP editors via aptamer-tagged (pe)gRNAs and uses Csy4 to protect pegRNA 3' ends, producing higher per-particle editing efficiency and demonstrating therapeutic potential in ex vivo and in vivo models.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-21.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- ENVLPE enables loading of fully assembled editor RNPs by recruiting PP7-tagged gRNAs via Gag-PCP, rather than fusing Cas9 to Gag.- Csy4/Cas6f protection fortifies the pegRNA 3' end, increasing prime editing efficiency in ENVLPE.- ENVLPE+ improves per-particle loading and editing efficacy via GCN4 coiled-coil enhancement.- ENVLPE+ particles carry high cargo per particle (around 78 Cas9 and 77 pegRNAs) and outperform prior VLPs per particle.- In hiPSC-derived cortical neurons, ENVLPE/ENVLPE+ achieve about 90% base editing at the B2M locus.- ENVLPE+ enables in vivo prime editing in inherited retinal disease models, restoring gene function and improving visual outcomes.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107584/c1a-p6xp7-ok03o50ob65-zyz7cy.png"></itunes:image>
                                                                            <itunes:duration>00:16:20</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[26: Reannotation reveals functional non-coding mutations in melanoma]]>
                </title>
                <pubDate>Tue, 20 May 2025 09:32:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    75bda13f-60d3-4542-a261-289297bca7f7</guid>
                                    <link>https://basebybase.castos.com/episodes/reannotation-cancer-mutations-melanoma</link>
                                <description>
                                            <![CDATA[<p>Pepe D et al., The American Journal of Human Genetics (112:1–21, June 5, 2025) - Pepe et al. show that annotating cancer mutations to the transcripts actually expressed in tumors uncovers previously overlooked non-coding promoter mutations in melanoma. Using TCGA mutation calls, RNA-seq, and an automated Salmon+VEP pipeline, they reclassify multiple hotspots and validate functional effects for IRF3/BCL2L12 and KNSTRN promoter mutations with CRISPR-Cas9 and reporter assays. Key terms: melanoma, non-coding mutations, synonymous mutations, transcript annotation, CRISPR-Cas9.</p>
<p> Study Highlights:<br />The authors reannotated TCGA melanoma mutation clusters to expressed transcripts and found that 22% (11/50) of identified clusters previously labeled as coding are non-coding promoter mutations. They validated IRF3/BCL2L12 promoter mutations in isogenic CRISPR-Cas9 Mel-ST models and reporter assays, showing reduced IRF3, BCL2L12, and downstream TP53 expression. KNSTRN and SLC27A5 clusters were also reclassified as promoter mutations, and transcription-factor binding analyses implicate disruption of ETS/SP/E2F sites. The study presents a simple Salmon+VEP workflow to improve mutation annotation and notes an association between IRF3/BCL2L12 promoter mutations and poorer immunotherapy response.</p>
<p> Conclusion:<br />Integrating RNA-seq expression data into mutation annotation reveals functional non-coding promoter mutations missed by reference-transcript annotation; a Salmon+VEP reannotation workflow improves accuracy and highlights clinically relevant non-coding events in melanoma.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 22% (11/50) mutation clusters in melanoma are misannotated as coding mutations when using expressed transcripts, and are actually non-coding promoter mutations.<br />- IRF3/BCL2L12 promoter mutations downregulate IRF3, BCL2L12, and TP53 expression in melanoma contexts.<br />- KNSTRN and SLC27A5 promoter mutations were identified as functional non-coding promoter mutations in melanoma.<br />- CRISPR-Cas9 knockin in Mel-ST cells demonstrates that IRF3/BCL2L12 promoter mutations reduce IRF3 and BCL2L12 mRNA and protein levels, and influence TP53 pathway components.<br />- Promoter non-coding mutations in IRF3/BCL2L12 region are associated with a worse response to immunotherapy in melanoma patients.<br />- Salmon+VEP automated annotation achieves about 90% accuracy in annotating expressed transcripts for mutations in melanoma.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Pepe D et al., The American Journal of Human Genetics (112:1–21, June 5, 2025) - Pepe et al. show that annotating cancer mutations to the transcripts actually expressed in tumors uncovers previously overlooked non-coding promoter mutations in melanoma. Using TCGA mutation calls, RNA-seq, and an automated Salmon+VEP pipeline, they reclassify multiple hotspots and validate functional effects for IRF3/BCL2L12 and KNSTRN promoter mutations with CRISPR-Cas9 and reporter assays. Key terms: melanoma, non-coding mutations, synonymous mutations, transcript annotation, CRISPR-Cas9.
 Study Highlights:The authors reannotated TCGA melanoma mutation clusters to expressed transcripts and found that 22% (11/50) of identified clusters previously labeled as coding are non-coding promoter mutations. They validated IRF3/BCL2L12 promoter mutations in isogenic CRISPR-Cas9 Mel-ST models and reporter assays, showing reduced IRF3, BCL2L12, and downstream TP53 expression. KNSTRN and SLC27A5 clusters were also reclassified as promoter mutations, and transcription-factor binding analyses implicate disruption of ETS/SP/E2F sites. The study presents a simple Salmon+VEP workflow to improve mutation annotation and notes an association between IRF3/BCL2L12 promoter mutations and poorer immunotherapy response.
 Conclusion:Integrating RNA-seq expression data into mutation annotation reveals functional non-coding promoter mutations missed by reference-transcript annotation; a Salmon+VEP reannotation workflow improves accuracy and highlights clinically relevant non-coding events in melanoma.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 22% (11/50) mutation clusters in melanoma are misannotated as coding mutations when using expressed transcripts, and are actually non-coding promoter mutations.- IRF3/BCL2L12 promoter mutations downregulate IRF3, BCL2L12, and TP53 expression in melanoma contexts.- KNSTRN and SLC27A5 promoter mutations were identified as functional non-coding promoter mutations in melanoma.- CRISPR-Cas9 knockin in Mel-ST cells demonstrates that IRF3/BCL2L12 promoter mutations reduce IRF3 and BCL2L12 mRNA and protein levels, and influence TP53 pathway components.- Promoter non-coding mutations in IRF3/BCL2L12 region are associated with a worse response to immunotherapy in melanoma patients.- Salmon+VEP automated annotation achieves about 90% accuracy in annotating expressed transcripts for mutations in melanoma.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[26: Reannotation reveals functional non-coding mutations in melanoma]]>
                </itunes:title>
                                    <itunes:episode>26</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Pepe D et al., The American Journal of Human Genetics (112:1–21, June 5, 2025) - Pepe et al. show that annotating cancer mutations to the transcripts actually expressed in tumors uncovers previously overlooked non-coding promoter mutations in melanoma. Using TCGA mutation calls, RNA-seq, and an automated Salmon+VEP pipeline, they reclassify multiple hotspots and validate functional effects for IRF3/BCL2L12 and KNSTRN promoter mutations with CRISPR-Cas9 and reporter assays. Key terms: melanoma, non-coding mutations, synonymous mutations, transcript annotation, CRISPR-Cas9.</p>
<p> Study Highlights:<br />The authors reannotated TCGA melanoma mutation clusters to expressed transcripts and found that 22% (11/50) of identified clusters previously labeled as coding are non-coding promoter mutations. They validated IRF3/BCL2L12 promoter mutations in isogenic CRISPR-Cas9 Mel-ST models and reporter assays, showing reduced IRF3, BCL2L12, and downstream TP53 expression. KNSTRN and SLC27A5 clusters were also reclassified as promoter mutations, and transcription-factor binding analyses implicate disruption of ETS/SP/E2F sites. The study presents a simple Salmon+VEP workflow to improve mutation annotation and notes an association between IRF3/BCL2L12 promoter mutations and poorer immunotherapy response.</p>
<p> Conclusion:<br />Integrating RNA-seq expression data into mutation annotation reveals functional non-coding promoter mutations missed by reference-transcript annotation; a Salmon+VEP reannotation workflow improves accuracy and highlights clinically relevant non-coding events in melanoma.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-20.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- 22% (11/50) mutation clusters in melanoma are misannotated as coding mutations when using expressed transcripts, and are actually non-coding promoter mutations.<br />- IRF3/BCL2L12 promoter mutations downregulate IRF3, BCL2L12, and TP53 expression in melanoma contexts.<br />- KNSTRN and SLC27A5 promoter mutations were identified as functional non-coding promoter mutations in melanoma.<br />- CRISPR-Cas9 knockin in Mel-ST cells demonstrates that IRF3/BCL2L12 promoter mutations reduce IRF3 and BCL2L12 mRNA and protein levels, and influence TP53 pathway components.<br />- Promoter non-coding mutations in IRF3/BCL2L12 region are associated with a worse response to immunotherapy in melanoma patients.<br />- Salmon+VEP automated annotation achieves about 90% accuracy in annotating expressed transcripts for mutations in melanoma.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107585/c1e-k69gzcg8wmzax3xk4-0v9rn92vf8wo-fgiy17.mp3?awCollectionId=66206&amp;awEpisodeId=75bda13f-60d3-4542-a261-289297bca7f7&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Freannotation-cancer-mutations-melanoma&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=861ebd1493b4efc26563d87f337f2ce1a127bdaac660650b6be292fb580d4f36" length="19682541"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Pepe D et al., The American Journal of Human Genetics (112:1–21, June 5, 2025) - Pepe et al. show that annotating cancer mutations to the transcripts actually expressed in tumors uncovers previously overlooked non-coding promoter mutations in melanoma. Using TCGA mutation calls, RNA-seq, and an automated Salmon+VEP pipeline, they reclassify multiple hotspots and validate functional effects for IRF3/BCL2L12 and KNSTRN promoter mutations with CRISPR-Cas9 and reporter assays. Key terms: melanoma, non-coding mutations, synonymous mutations, transcript annotation, CRISPR-Cas9.
 Study Highlights:The authors reannotated TCGA melanoma mutation clusters to expressed transcripts and found that 22% (11/50) of identified clusters previously labeled as coding are non-coding promoter mutations. They validated IRF3/BCL2L12 promoter mutations in isogenic CRISPR-Cas9 Mel-ST models and reporter assays, showing reduced IRF3, BCL2L12, and downstream TP53 expression. KNSTRN and SLC27A5 clusters were also reclassified as promoter mutations, and transcription-factor binding analyses implicate disruption of ETS/SP/E2F sites. The study presents a simple Salmon+VEP workflow to improve mutation annotation and notes an association between IRF3/BCL2L12 promoter mutations and poorer immunotherapy response.
 Conclusion:Integrating RNA-seq expression data into mutation annotation reveals functional non-coding promoter mutations missed by reference-transcript annotation; a Salmon+VEP reannotation workflow improves accuracy and highlights clinically relevant non-coding events in melanoma.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-20.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- 22% (11/50) mutation clusters in melanoma are misannotated as coding mutations when using expressed transcripts, and are actually non-coding promoter mutations.- IRF3/BCL2L12 promoter mutations downregulate IRF3, BCL2L12, and TP53 expression in melanoma contexts.- KNSTRN and SLC27A5 promoter mutations were identified as functional non-coding promoter mutations in melanoma.- CRISPR-Cas9 knockin in Mel-ST cells demonstrates that IRF3/BCL2L12 promoter mutations reduce IRF3 and BCL2L12 mRNA and protein levels, and influence TP53 pathway components.- Promoter non-coding mutations in IRF3/BCL2L12 region are associated with a worse response to immunotherapy in melanoma patients.- Salmon+VEP automated annotation achieves about 90% accuracy in annotating expressed transcripts for mutations in melanoma.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107585/c1a-p6xp7-pknj37n2udrz-siuwjx.png"></itunes:image>
                                                                            <itunes:duration>00:15:49</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[25: mtDNA discovery in Solve‑RD: phenotype‑driven reanalysis]]>
                </title>
                <pubDate>Mon, 19 May 2025 09:13:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    da18b621-89a1-48fa-93ae-a682eb7739bc</guid>
                                    <link>https://basebybase.castos.com/episodes/mitochondrial-dna-disease-discovery-solve-rd</link>
                                <description>
                                            <![CDATA[<p>Ratnaike et al et al., The American Journal of Human Genetics - A semi-automated mtDNA reanalysis pipeline using MToolBox and MitoPhen HPO-based phenotype similarity was applied to the Solve-RD cohort, identifying previously undiagnosed mtDNA variants and adding a 0.4% diagnostic uplift. Key terms: mitochondrial DNA, heteroplasmy, MitoPhen, Solve-RD, phenotype similarity.</p>
<p> Study Highlights:<br />The authors validated an mtDNA calling and prioritization workflow on 42 pre-solved exomes and then applied it to 10,157 ES/GS datasets from 9,923 individuals in Solve-RD. Automated filtering (heteroplasmy ≥1%, MITOMAP annotation, haplogroup exclusion) prioritized 136 mtDNA variants in 135 undiagnosed individuals. An HPO-based phenotype similarity score from MitoPhen (threshold &gt;0.3) was tested and used to prioritize candidates, capturing 34 of 37 confirmed or likely causative diagnoses. The integrated genotype-phenotype pipeline yielded 37 new confirmed or likely mtDNA diagnoses, a 0.4% diagnostic uplift in this heterogeneous cohort.</p>
<p> Conclusion:<br />Incorporating structured mtDNA analysis and HPO-based phenotype similarity scoring into ES/GS reanalysis can reveal previously undiagnosed mitochondrial diagnoses and modestly increase diagnostic yield in large rare-disease cohorts.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MToolBox/MITOMAP/MitoPhen-based reanalysis identified 136 mtDNA variants in 135 undiagnosed individuals and produced 37 confirmed or likely mtDNA diagnoses, yielding a 0.4% diagnos<br />- Phenotype similarity threshold of 0.3 provides high sensitivity; higher thresholds increase specificity; 92% of diagnosed/likely cases had a score &gt; 0.3.<br />- All diagnostically relevant mtDNA variants were detectable in blood with heteroplasmy &gt; 11%; lower blood heteroplasmy can hinder diagnosis.<br />- A homoplasmic MT-TL1 variant m.1555A&gt;G confers risk for aminoglycoside-induced deafness; recognition enables avoidance of this drug.<br />- Incorporating focused mtDNA analysis and phenotype similarity scoring into routine exome/genome reanalysis can reveal actionable mitochondrial findings and modestly increase diagno<br />- Diversity of study populations is limited; European ancestry predominates (about 96%), underscoring the need for diverse cohorts to ensure generalizability.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ratnaike et al et al., The American Journal of Human Genetics - A semi-automated mtDNA reanalysis pipeline using MToolBox and MitoPhen HPO-based phenotype similarity was applied to the Solve-RD cohort, identifying previously undiagnosed mtDNA variants and adding a 0.4% diagnostic uplift. Key terms: mitochondrial DNA, heteroplasmy, MitoPhen, Solve-RD, phenotype similarity.
 Study Highlights:The authors validated an mtDNA calling and prioritization workflow on 42 pre-solved exomes and then applied it to 10,157 ES/GS datasets from 9,923 individuals in Solve-RD. Automated filtering (heteroplasmy ≥1%, MITOMAP annotation, haplogroup exclusion) prioritized 136 mtDNA variants in 135 undiagnosed individuals. An HPO-based phenotype similarity score from MitoPhen (threshold >0.3) was tested and used to prioritize candidates, capturing 34 of 37 confirmed or likely causative diagnoses. The integrated genotype-phenotype pipeline yielded 37 new confirmed or likely mtDNA diagnoses, a 0.4% diagnostic uplift in this heterogeneous cohort.
 Conclusion:Incorporating structured mtDNA analysis and HPO-based phenotype similarity scoring into ES/GS reanalysis can reveal previously undiagnosed mitochondrial diagnoses and modestly increase diagnostic yield in large rare-disease cohorts.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MToolBox/MITOMAP/MitoPhen-based reanalysis identified 136 mtDNA variants in 135 undiagnosed individuals and produced 37 confirmed or likely mtDNA diagnoses, yielding a 0.4% diagnos- Phenotype similarity threshold of 0.3 provides high sensitivity; higher thresholds increase specificity; 92% of diagnosed/likely cases had a score > 0.3.- All diagnostically relevant mtDNA variants were detectable in blood with heteroplasmy > 11%; lower blood heteroplasmy can hinder diagnosis.- A homoplasmic MT-TL1 variant m.1555A>G confers risk for aminoglycoside-induced deafness; recognition enables avoidance of this drug.- Incorporating focused mtDNA analysis and phenotype similarity scoring into routine exome/genome reanalysis can reveal actionable mitochondrial findings and modestly increase diagno- Diversity of study populations is limited; European ancestry predominates (about 96%), underscoring the need for diverse cohorts to ensure generalizability.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[25: mtDNA discovery in Solve‑RD: phenotype‑driven reanalysis]]>
                </itunes:title>
                                    <itunes:episode>25</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ratnaike et al et al., The American Journal of Human Genetics - A semi-automated mtDNA reanalysis pipeline using MToolBox and MitoPhen HPO-based phenotype similarity was applied to the Solve-RD cohort, identifying previously undiagnosed mtDNA variants and adding a 0.4% diagnostic uplift. Key terms: mitochondrial DNA, heteroplasmy, MitoPhen, Solve-RD, phenotype similarity.</p>
<p> Study Highlights:<br />The authors validated an mtDNA calling and prioritization workflow on 42 pre-solved exomes and then applied it to 10,157 ES/GS datasets from 9,923 individuals in Solve-RD. Automated filtering (heteroplasmy ≥1%, MITOMAP annotation, haplogroup exclusion) prioritized 136 mtDNA variants in 135 undiagnosed individuals. An HPO-based phenotype similarity score from MitoPhen (threshold &gt;0.3) was tested and used to prioritize candidates, capturing 34 of 37 confirmed or likely causative diagnoses. The integrated genotype-phenotype pipeline yielded 37 new confirmed or likely mtDNA diagnoses, a 0.4% diagnostic uplift in this heterogeneous cohort.</p>
<p> Conclusion:<br />Incorporating structured mtDNA analysis and HPO-based phenotype similarity scoring into ES/GS reanalysis can reveal previously undiagnosed mitochondrial diagnoses and modestly increase diagnostic yield in large rare-disease cohorts.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MToolBox/MITOMAP/MitoPhen-based reanalysis identified 136 mtDNA variants in 135 undiagnosed individuals and produced 37 confirmed or likely mtDNA diagnoses, yielding a 0.4% diagnos<br />- Phenotype similarity threshold of 0.3 provides high sensitivity; higher thresholds increase specificity; 92% of diagnosed/likely cases had a score &gt; 0.3.<br />- All diagnostically relevant mtDNA variants were detectable in blood with heteroplasmy &gt; 11%; lower blood heteroplasmy can hinder diagnosis.<br />- A homoplasmic MT-TL1 variant m.1555A&gt;G confers risk for aminoglycoside-induced deafness; recognition enables avoidance of this drug.<br />- Incorporating focused mtDNA analysis and phenotype similarity scoring into routine exome/genome reanalysis can reveal actionable mitochondrial findings and modestly increase diagno<br />- Diversity of study populations is limited; European ancestry predominates (about 96%), underscoring the need for diverse cohorts to ensure generalizability.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Ratnaike et al et al., The American Journal of Human Genetics - A semi-automated mtDNA reanalysis pipeline using MToolBox and MitoPhen HPO-based phenotype similarity was applied to the Solve-RD cohort, identifying previously undiagnosed mtDNA variants and adding a 0.4% diagnostic uplift. Key terms: mitochondrial DNA, heteroplasmy, MitoPhen, Solve-RD, phenotype similarity.
 Study Highlights:The authors validated an mtDNA calling and prioritization workflow on 42 pre-solved exomes and then applied it to 10,157 ES/GS datasets from 9,923 individuals in Solve-RD. Automated filtering (heteroplasmy ≥1%, MITOMAP annotation, haplogroup exclusion) prioritized 136 mtDNA variants in 135 undiagnosed individuals. An HPO-based phenotype similarity score from MitoPhen (threshold >0.3) was tested and used to prioritize candidates, capturing 34 of 37 confirmed or likely causative diagnoses. The integrated genotype-phenotype pipeline yielded 37 new confirmed or likely mtDNA diagnoses, a 0.4% diagnostic uplift in this heterogeneous cohort.
 Conclusion:Incorporating structured mtDNA analysis and HPO-based phenotype similarity scoring into ES/GS reanalysis can reveal previously undiagnosed mitochondrial diagnoses and modestly increase diagnostic yield in large rare-disease cohorts.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MToolBox/MITOMAP/MitoPhen-based reanalysis identified 136 mtDNA variants in 135 undiagnosed individuals and produced 37 confirmed or likely mtDNA diagnoses, yielding a 0.4% diagnos- Phenotype similarity threshold of 0.3 provides high sensitivity; higher thresholds increase specificity; 92% of diagnosed/likely cases had a score > 0.3.- All diagnostically relevant mtDNA variants were detectable in blood with heteroplasmy > 11%; lower blood heteroplasmy can hinder diagnosis.- A homoplasmic MT-TL1 variant m.1555A>G confers risk for aminoglycoside-induced deafness; recognition enables avoidance of this drug.- Incorporating focused mtDNA analysis and phenotype similarity scoring into routine exome/genome reanalysis can reveal actionable mitochondrial findings and modestly increase diagno- Diversity of study populations is limited; European ancestry predominates (about 96%), underscoring the need for diverse cohorts to ensure generalizability.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107586/c1a-p6xp7-5zqk7mqzcz65-wulyaa.png"></itunes:image>
                                                                            <itunes:duration>00:16:21</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[24: X chromosome and dosage-compensation in complex traits]]>
                </title>
                <pubDate>Sun, 18 May 2025 09:01:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    f32742e8-6031-4d22-abec-1e2d3de385c0</guid>
                                    <link>https://basebybase.castos.com/episodes/s2-e24-x-chromosome-dosage-compensation</link>
                                <description>
                                            <![CDATA[<p>Fu Y et al., The American Journal of Human Genetics - Fu et al. (2025) analyze large biobank datasets to quantify how the X chromosome contributes to complex trait heritability and how dosage-compensation biology shapes those effects. Key terms: X chromosome, dosage compensation, X chromosome inactivation, complex trait heritability, sex differences.</p>
<p> Study Highlights:<br />The study analyzed 48 quantitative traits in 343,695 UK Biobank participants with replication in 412,181 FinnGen individuals. ChrX accounted for about 3% of autosomal heritability and showed higher heritability in males consistent with near-complete X chromosome inactivation. The authors find plausible evidence that partial escape from XCI influences height and identify a female-biased signal near ITM2A. They also report systematically larger active allele effects on chrX versus autosomes, consistent with partial X upregulation.</p>
<p> Conclusion:<br />The X chromosome makes a modest but meaningful contribution to complex trait genetics shaped by near-complete XCI and partial dosage compensation with autosomes; including chrX in GWAS improves discovery and interpretation of sex-biased effects.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The X chromosome contributes about 3% of autosomal heritability in the general population.<br />- Male bias in chrX heritability reflects near-complete X chromosome inactivation (XCI) between sexes.<br />- Escape from XCI plausibly contributes to height, with ITM2A locus implicated and a female-biased effect near rs59648890.<br />- Active allele effects on chrX are larger than autosomal effects, approximately 1.6× in males and 1.3× in females.<br />- Two dosage-compensation mechanisms (XCI and upregulation of chrX) act in concert to balance chrX across the genome.<br />- Skewed XCI is associated with autoimmune diseases and occurs at higher frequencies in affected individuals.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Fu Y et al., The American Journal of Human Genetics - Fu et al. (2025) analyze large biobank datasets to quantify how the X chromosome contributes to complex trait heritability and how dosage-compensation biology shapes those effects. Key terms: X chromosome, dosage compensation, X chromosome inactivation, complex trait heritability, sex differences.
 Study Highlights:The study analyzed 48 quantitative traits in 343,695 UK Biobank participants with replication in 412,181 FinnGen individuals. ChrX accounted for about 3% of autosomal heritability and showed higher heritability in males consistent with near-complete X chromosome inactivation. The authors find plausible evidence that partial escape from XCI influences height and identify a female-biased signal near ITM2A. They also report systematically larger active allele effects on chrX versus autosomes, consistent with partial X upregulation.
 Conclusion:The X chromosome makes a modest but meaningful contribution to complex trait genetics shaped by near-complete XCI and partial dosage compensation with autosomes; including chrX in GWAS improves discovery and interpretation of sex-biased effects.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The X chromosome contributes about 3% of autosomal heritability in the general population.- Male bias in chrX heritability reflects near-complete X chromosome inactivation (XCI) between sexes.- Escape from XCI plausibly contributes to height, with ITM2A locus implicated and a female-biased effect near rs59648890.- Active allele effects on chrX are larger than autosomal effects, approximately 1.6× in males and 1.3× in females.- Two dosage-compensation mechanisms (XCI and upregulation of chrX) act in concert to balance chrX across the genome.- Skewed XCI is associated with autoimmune diseases and occurs at higher frequencies in affected individuals.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[24: X chromosome and dosage-compensation in complex traits]]>
                </itunes:title>
                                    <itunes:episode>24</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Fu Y et al., The American Journal of Human Genetics - Fu et al. (2025) analyze large biobank datasets to quantify how the X chromosome contributes to complex trait heritability and how dosage-compensation biology shapes those effects. Key terms: X chromosome, dosage compensation, X chromosome inactivation, complex trait heritability, sex differences.</p>
<p> Study Highlights:<br />The study analyzed 48 quantitative traits in 343,695 UK Biobank participants with replication in 412,181 FinnGen individuals. ChrX accounted for about 3% of autosomal heritability and showed higher heritability in males consistent with near-complete X chromosome inactivation. The authors find plausible evidence that partial escape from XCI influences height and identify a female-biased signal near ITM2A. They also report systematically larger active allele effects on chrX versus autosomes, consistent with partial X upregulation.</p>
<p> Conclusion:<br />The X chromosome makes a modest but meaningful contribution to complex trait genetics shaped by near-complete XCI and partial dosage compensation with autosomes; including chrX in GWAS improves discovery and interpretation of sex-biased effects.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The X chromosome contributes about 3% of autosomal heritability in the general population.<br />- Male bias in chrX heritability reflects near-complete X chromosome inactivation (XCI) between sexes.<br />- Escape from XCI plausibly contributes to height, with ITM2A locus implicated and a female-biased effect near rs59648890.<br />- Active allele effects on chrX are larger than autosomal effects, approximately 1.6× in males and 1.3× in females.<br />- Two dosage-compensation mechanisms (XCI and upregulation of chrX) act in concert to balance chrX across the genome.<br />- Skewed XCI is associated with autoimmune diseases and occurs at higher frequencies in affected individuals.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Fu Y et al., The American Journal of Human Genetics - Fu et al. (2025) analyze large biobank datasets to quantify how the X chromosome contributes to complex trait heritability and how dosage-compensation biology shapes those effects. Key terms: X chromosome, dosage compensation, X chromosome inactivation, complex trait heritability, sex differences.
 Study Highlights:The study analyzed 48 quantitative traits in 343,695 UK Biobank participants with replication in 412,181 FinnGen individuals. ChrX accounted for about 3% of autosomal heritability and showed higher heritability in males consistent with near-complete X chromosome inactivation. The authors find plausible evidence that partial escape from XCI influences height and identify a female-biased signal near ITM2A. They also report systematically larger active allele effects on chrX versus autosomes, consistent with partial X upregulation.
 Conclusion:The X chromosome makes a modest but meaningful contribution to complex trait genetics shaped by near-complete XCI and partial dosage compensation with autosomes; including chrX in GWAS improves discovery and interpretation of sex-biased effects.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The X chromosome contributes about 3% of autosomal heritability in the general population.- Male bias in chrX heritability reflects near-complete X chromosome inactivation (XCI) between sexes.- Escape from XCI plausibly contributes to height, with ITM2A locus implicated and a female-biased effect near rs59648890.- Active allele effects on chrX are larger than autosomal effects, approximately 1.6× in males and 1.3× in females.- Two dosage-compensation mechanisms (XCI and upregulation of chrX) act in concert to balance chrX across the genome.- Skewed XCI is associated with autoimmune diseases and occurs at higher frequencies in affected individuals.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107587/c1a-p6xp7-345gp05kbqj2-zmep49.png"></itunes:image>
                                                                            <itunes:duration>00:14:53</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[23: Returning Additional Findings in the 100,000 Genomes Project]]>
                </title>
                <pubDate>Sat, 17 May 2025 08:57:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    90d9ae79-0ad6-4550-be0e-1af4060ea333</guid>
                                    <link>https://basebybase.castos.com/episodes/returning-additional-findings-100kgenomes-ep23</link>
                                <description>
                                            <![CDATA[<p>Stafford-Smith B et al., Genetics in Medicine - Mixed-methods evaluation of how 100,000 Genomes Project participants experienced receiving positive additional findings (PAFs) for cancer or familial hypercholesterolaemia and no additional findings (NAFs), with implications for clinical return pathways and patient support. Key terms: genome sequencing, additional findings, secondary findings, participant experiences, familial hypercholesterolemia.</p>
<p> Study Highlights:<br />This convergent mixed-methods study surveyed 147 PAF recipients and conducted interviews with 35 PAF and 29 NAF participants across 18 NHS sites. Most participants found AF results useful, expected to act on recommendations, and shared results with family, though cancer PAFs caused more initial shock and distress than FH PAFs. NAF recipients were generally relieved but some misunderstood the scope and limitations of the result and wanted follow-up. Participants supported offering AFs when optional and actionable, while recommending tailored communication and timely clinical support.</p>
<p> Conclusion:<br />Patient experiences were largely positive and supportive of routinely offering actionable additional findings, but practice should include clearer communication for NAF recipients, condition-tailored approaches, and timely, tailored clinical support for those with positive findings.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Returning secondary findings is valued by patients and support for routine offering when actionable.<br />- Cancer-associated AFs produce higher distress than FH-associated AFs.<br />- No findings (NAF) results are generally positive but can be misunderstood, requiring additional education and follow-up.<br />- Decisional regret about AFs is generally low and high-regret instances decline after plan development and support.<br />- A large proportion share AF results with family to enable cascade testing.<br />- Clinical pathways for AFs must be tailored by condition; a one-size-fits-all approach is insufficient.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Stafford-Smith B et al., Genetics in Medicine - Mixed-methods evaluation of how 100,000 Genomes Project participants experienced receiving positive additional findings (PAFs) for cancer or familial hypercholesterolaemia and no additional findings (NAFs), with implications for clinical return pathways and patient support. Key terms: genome sequencing, additional findings, secondary findings, participant experiences, familial hypercholesterolemia.
 Study Highlights:This convergent mixed-methods study surveyed 147 PAF recipients and conducted interviews with 35 PAF and 29 NAF participants across 18 NHS sites. Most participants found AF results useful, expected to act on recommendations, and shared results with family, though cancer PAFs caused more initial shock and distress than FH PAFs. NAF recipients were generally relieved but some misunderstood the scope and limitations of the result and wanted follow-up. Participants supported offering AFs when optional and actionable, while recommending tailored communication and timely clinical support.
 Conclusion:Patient experiences were largely positive and supportive of routinely offering actionable additional findings, but practice should include clearer communication for NAF recipients, condition-tailored approaches, and timely, tailored clinical support for those with positive findings.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Returning secondary findings is valued by patients and support for routine offering when actionable.- Cancer-associated AFs produce higher distress than FH-associated AFs.- No findings (NAF) results are generally positive but can be misunderstood, requiring additional education and follow-up.- Decisional regret about AFs is generally low and high-regret instances decline after plan development and support.- A large proportion share AF results with family to enable cascade testing.- Clinical pathways for AFs must be tailored by condition; a one-size-fits-all approach is insufficient.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[23: Returning Additional Findings in the 100,000 Genomes Project]]>
                </itunes:title>
                                    <itunes:episode>23</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Stafford-Smith B et al., Genetics in Medicine - Mixed-methods evaluation of how 100,000 Genomes Project participants experienced receiving positive additional findings (PAFs) for cancer or familial hypercholesterolaemia and no additional findings (NAFs), with implications for clinical return pathways and patient support. Key terms: genome sequencing, additional findings, secondary findings, participant experiences, familial hypercholesterolemia.</p>
<p> Study Highlights:<br />This convergent mixed-methods study surveyed 147 PAF recipients and conducted interviews with 35 PAF and 29 NAF participants across 18 NHS sites. Most participants found AF results useful, expected to act on recommendations, and shared results with family, though cancer PAFs caused more initial shock and distress than FH PAFs. NAF recipients were generally relieved but some misunderstood the scope and limitations of the result and wanted follow-up. Participants supported offering AFs when optional and actionable, while recommending tailored communication and timely clinical support.</p>
<p> Conclusion:<br />Patient experiences were largely positive and supportive of routinely offering actionable additional findings, but practice should include clearer communication for NAF recipients, condition-tailored approaches, and timely, tailored clinical support for those with positive findings.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Returning secondary findings is valued by patients and support for routine offering when actionable.<br />- Cancer-associated AFs produce higher distress than FH-associated AFs.<br />- No findings (NAF) results are generally positive but can be misunderstood, requiring additional education and follow-up.<br />- Decisional regret about AFs is generally low and high-regret instances decline after plan development and support.<br />- A large proportion share AF results with family to enable cascade testing.<br />- Clinical pathways for AFs must be tailored by condition; a one-size-fits-all approach is insufficient.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Stafford-Smith B et al., Genetics in Medicine - Mixed-methods evaluation of how 100,000 Genomes Project participants experienced receiving positive additional findings (PAFs) for cancer or familial hypercholesterolaemia and no additional findings (NAFs), with implications for clinical return pathways and patient support. Key terms: genome sequencing, additional findings, secondary findings, participant experiences, familial hypercholesterolemia.
 Study Highlights:This convergent mixed-methods study surveyed 147 PAF recipients and conducted interviews with 35 PAF and 29 NAF participants across 18 NHS sites. Most participants found AF results useful, expected to act on recommendations, and shared results with family, though cancer PAFs caused more initial shock and distress than FH PAFs. NAF recipients were generally relieved but some misunderstood the scope and limitations of the result and wanted follow-up. Participants supported offering AFs when optional and actionable, while recommending tailored communication and timely clinical support.
 Conclusion:Patient experiences were largely positive and supportive of routinely offering actionable additional findings, but practice should include clearer communication for NAF recipients, condition-tailored approaches, and timely, tailored clinical support for those with positive findings.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Returning secondary findings is valued by patients and support for routine offering when actionable.- Cancer-associated AFs produce higher distress than FH-associated AFs.- No findings (NAF) results are generally positive but can be misunderstood, requiring additional education and follow-up.- Decisional regret about AFs is generally low and high-regret instances decline after plan development and support.- A large proportion share AF results with family to enable cascade testing.- Clinical pathways for AFs must be tailored by condition; a one-size-fits-all approach is insufficient.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107588/c1a-p6xp7-pknj37wzf5kg-3bm6tv.png"></itunes:image>
                                                                            <itunes:duration>00:14:12</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[22: When RNases Hide the Message: Naked exRNA, Immune Sensing, and Translation]]>
                </title>
                <pubDate>Fri, 16 May 2025 15:25:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    468cd4ed-00b9-42ae-96d5-d6329e6a8822</guid>
                                    <link>https://basebybase.castos.com/episodes/ribonuclease-activity-undermines-immune-sensing</link>
                                <description>
                                            <![CDATA[<p>Castellano M et al., Cell Genomics - This study shows that extracellular ribonucleases mask the bioactivity of naked extracellular RNA (exRNA). When RNases are inhibited or absent, naked exRNA is internalized, triggers endosomal and cytosolic RNA sensors, and can enable translation of delivered mRNAs. Key terms: extracellular RNA, ribonuclease, TLR13, gymnosis, mRNA translation.</p>
<p> Study Highlights:<br />Inhibition or absence of extracellular RNases reveals that naked exRNA is spontaneously internalized by diverse cell types and induces pro-inflammatory responses. Internalized exRNA activates endosomal Toll-like receptors (including mouse TLR13 for bacterial rRNA) and, after endosomal escape, cytosolic RIG-I–like receptors via MAVS. Stabilized naked mRNAs can be translated in recipient cells in an RNase-dependent manner. In vivo RNase inhibition amplifies systemic immune activation while RNase-poor compartments (e.g., peritoneal cavity) respond to naked exRNA without added inhibitor.</p>
<p> Conclusion:<br />Extracellular RNases are a key barrier that prevents immune sensing and functional uptake of naked exRNA; controlling RNase activity reveals that nonvesicular exRNAs can mediate intercellular signaling, activate endosomal and cytosolic RNA sensors, and serve as translatable templates in recipient cells.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Naked exRNA is bioactive when extracellular RNases are inhibited, triggering pro-inflammatory responses via endosomal TLRs and cytosolic RLRs.<br />- TLR13 recognizes bacterial 23S ribosomal RNA Ec12 in endosomes; endocytosis is required for the response.<br />- Naked exRNA can escape endosomes to the cytosol and activate MAVS-dependent cytosolic sensors (RIG-I/MDA5 in human cells).<br />- Naked mRNA can be translated in recipient cells when RNases are inhibited (gymnotic uptake).<br />- In vivo, systemic RNases limit exRNA signaling; RI co-injection enhances systemic inflammatory activation; RNase-poor compartments (peritoneal cavity) can respond without RI.<br />- RNases act as a regulatory shield preventing systemic inflammation; dysregulation of RNase activity relates to autoimmune contexts like lupus.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Castellano M et al., Cell Genomics - This study shows that extracellular ribonucleases mask the bioactivity of naked extracellular RNA (exRNA). When RNases are inhibited or absent, naked exRNA is internalized, triggers endosomal and cytosolic RNA sensors, and can enable translation of delivered mRNAs. Key terms: extracellular RNA, ribonuclease, TLR13, gymnosis, mRNA translation.
 Study Highlights:Inhibition or absence of extracellular RNases reveals that naked exRNA is spontaneously internalized by diverse cell types and induces pro-inflammatory responses. Internalized exRNA activates endosomal Toll-like receptors (including mouse TLR13 for bacterial rRNA) and, after endosomal escape, cytosolic RIG-I–like receptors via MAVS. Stabilized naked mRNAs can be translated in recipient cells in an RNase-dependent manner. In vivo RNase inhibition amplifies systemic immune activation while RNase-poor compartments (e.g., peritoneal cavity) respond to naked exRNA without added inhibitor.
 Conclusion:Extracellular RNases are a key barrier that prevents immune sensing and functional uptake of naked exRNA; controlling RNase activity reveals that nonvesicular exRNAs can mediate intercellular signaling, activate endosomal and cytosolic RNA sensors, and serve as translatable templates in recipient cells.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Naked exRNA is bioactive when extracellular RNases are inhibited, triggering pro-inflammatory responses via endosomal TLRs and cytosolic RLRs.- TLR13 recognizes bacterial 23S ribosomal RNA Ec12 in endosomes; endocytosis is required for the response.- Naked exRNA can escape endosomes to the cytosol and activate MAVS-dependent cytosolic sensors (RIG-I/MDA5 in human cells).- Naked mRNA can be translated in recipient cells when RNases are inhibited (gymnotic uptake).- In vivo, systemic RNases limit exRNA signaling; RI co-injection enhances systemic inflammatory activation; RNase-poor compartments (peritoneal cavity) can respond without RI.- RNases act as a regulatory shield preventing systemic inflammation; dysregulation of RNase activity relates to autoimmune contexts like lupus.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[22: When RNases Hide the Message: Naked exRNA, Immune Sensing, and Translation]]>
                </itunes:title>
                                    <itunes:episode>22</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Castellano M et al., Cell Genomics - This study shows that extracellular ribonucleases mask the bioactivity of naked extracellular RNA (exRNA). When RNases are inhibited or absent, naked exRNA is internalized, triggers endosomal and cytosolic RNA sensors, and can enable translation of delivered mRNAs. Key terms: extracellular RNA, ribonuclease, TLR13, gymnosis, mRNA translation.</p>
<p> Study Highlights:<br />Inhibition or absence of extracellular RNases reveals that naked exRNA is spontaneously internalized by diverse cell types and induces pro-inflammatory responses. Internalized exRNA activates endosomal Toll-like receptors (including mouse TLR13 for bacterial rRNA) and, after endosomal escape, cytosolic RIG-I–like receptors via MAVS. Stabilized naked mRNAs can be translated in recipient cells in an RNase-dependent manner. In vivo RNase inhibition amplifies systemic immune activation while RNase-poor compartments (e.g., peritoneal cavity) respond to naked exRNA without added inhibitor.</p>
<p> Conclusion:<br />Extracellular RNases are a key barrier that prevents immune sensing and functional uptake of naked exRNA; controlling RNase activity reveals that nonvesicular exRNAs can mediate intercellular signaling, activate endosomal and cytosolic RNA sensors, and serve as translatable templates in recipient cells.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Naked exRNA is bioactive when extracellular RNases are inhibited, triggering pro-inflammatory responses via endosomal TLRs and cytosolic RLRs.<br />- TLR13 recognizes bacterial 23S ribosomal RNA Ec12 in endosomes; endocytosis is required for the response.<br />- Naked exRNA can escape endosomes to the cytosol and activate MAVS-dependent cytosolic sensors (RIG-I/MDA5 in human cells).<br />- Naked mRNA can be translated in recipient cells when RNases are inhibited (gymnotic uptake).<br />- In vivo, systemic RNases limit exRNA signaling; RI co-injection enhances systemic inflammatory activation; RNase-poor compartments (peritoneal cavity) can respond without RI.<br />- RNases act as a regulatory shield preventing systemic inflammation; dysregulation of RNase activity relates to autoimmune contexts like lupus.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107589/c1e-6j36gioqjg2fz2zxd-9jwdwrdwb203-kmfven.mp3?awCollectionId=66206&amp;awEpisodeId=468cd4ed-00b9-42ae-96d5-d6329e6a8822&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fribonuclease-activity-undermines-immune-sensing&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=0d5953a9da5374f5a7d92b2cd3bd77806810e36e0e38469467dc74e693cb6e69" length="36006381"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Castellano M et al., Cell Genomics - This study shows that extracellular ribonucleases mask the bioactivity of naked extracellular RNA (exRNA). When RNases are inhibited or absent, naked exRNA is internalized, triggers endosomal and cytosolic RNA sensors, and can enable translation of delivered mRNAs. Key terms: extracellular RNA, ribonuclease, TLR13, gymnosis, mRNA translation.
 Study Highlights:Inhibition or absence of extracellular RNases reveals that naked exRNA is spontaneously internalized by diverse cell types and induces pro-inflammatory responses. Internalized exRNA activates endosomal Toll-like receptors (including mouse TLR13 for bacterial rRNA) and, after endosomal escape, cytosolic RIG-I–like receptors via MAVS. Stabilized naked mRNAs can be translated in recipient cells in an RNase-dependent manner. In vivo RNase inhibition amplifies systemic immune activation while RNase-poor compartments (e.g., peritoneal cavity) respond to naked exRNA without added inhibitor.
 Conclusion:Extracellular RNases are a key barrier that prevents immune sensing and functional uptake of naked exRNA; controlling RNase activity reveals that nonvesicular exRNAs can mediate intercellular signaling, activate endosomal and cytosolic RNA sensors, and serve as translatable templates in recipient cells.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Naked exRNA is bioactive when extracellular RNases are inhibited, triggering pro-inflammatory responses via endosomal TLRs and cytosolic RLRs.- TLR13 recognizes bacterial 23S ribosomal RNA Ec12 in endosomes; endocytosis is required for the response.- Naked exRNA can escape endosomes to the cytosol and activate MAVS-dependent cytosolic sensors (RIG-I/MDA5 in human cells).- Naked mRNA can be translated in recipient cells when RNases are inhibited (gymnotic uptake).- In vivo, systemic RNases limit exRNA signaling; RI co-injection enhances systemic inflammatory activation; RNase-poor compartments (peritoneal cavity) can respond without RI.- RNases act as a regulatory shield preventing systemic inflammation; dysregulation of RNase activity relates to autoimmune contexts like lupus.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107589/c1a-p6xp7-345gp0xrixkx-4twczc.png"></itunes:image>
                                                                            <itunes:duration>00:16:24</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[21: Pooled prime editing maps functional human variants at scale]]>
                </title>
                <pubDate>Fri, 16 May 2025 08:13:20 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    42b46ed9-b1ab-4fd4-9870-f45cbc6ca8e8</guid>
                                    <link>https://basebybase.castos.com/episodes/pooled-prime-editing-human-variants</link>
                                <description>
                                            <![CDATA[<p>Herger M et al., Cell Genomics - Herger et al. present a pooled prime editing platform in haploid human cells that installs and assays thousands of short variants in their endogenous context. Using surrogate targets, co-selection and stringent pegRNA filtering, negative and positive selection screens identify loss-of-function variants in SMARCB1 and MLH1, including non-coding ClinVar variants that alter splicing. Key terms: prime editing, variant functional screening, SMARCB1, MLH1, HAP1 cells.</p>
<p> Study Highlights:<br />The authors develop a lentiviral pooled prime editing (PE) platform in HAP1 cells incorporating surrogate target (ST) sequences and co-selection to enrich edited cells. They optimize pegRNA scaffold design and show that ST editing rates are a useful proxy to filter active pegRNAs from inactive ones. Negative (essentiality) and positive (6-thioguanine) selection screens reveal novel loss-of-function variants in SMARCB1 and MLH1 across coding and non-coding regions. Stringent pegRNA activity filtering and orthogonal validation are necessary to reduce false positives and negatives.</p>
<p> Conclusion:<br />Pooled prime editing with surrogate targets and co-selection can scalably reveal functional effects of coding and non-coding human variants in their native genomic context, but accurate scoring depends on pegRNA activity and validation; improvements in pegRNA design and prime editors should expand genome-wide applicability.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Pooled prime editing platform enables scalable installation of variants in haploid human cells (HAP1).<br />- Surrogate targets (ST) and co-selection improve data quality by informing pegRNA activity and enriching edited cells.<br />- Negative selection identifies LoF variants in SMARCB1; positive selection using 6TG identifies LoF variants in MLH1.<br />- ST editing rates correlate with endogenous editing; ST editing is a proxy for ET editing.<br />- Non-coding ClinVar variants in MLH1 can be functionally scored; 362 of 874 non-coding ClinVar variants were assigned function scores.<br />- Pathogenic ClinVar variants in the MLH1 region show LoF scores; 54% called LoF; benign 2.4%.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Herger M et al., Cell Genomics - Herger et al. present a pooled prime editing platform in haploid human cells that installs and assays thousands of short variants in their endogenous context. Using surrogate targets, co-selection and stringent pegRNA filtering, negative and positive selection screens identify loss-of-function variants in SMARCB1 and MLH1, including non-coding ClinVar variants that alter splicing. Key terms: prime editing, variant functional screening, SMARCB1, MLH1, HAP1 cells.
 Study Highlights:The authors develop a lentiviral pooled prime editing (PE) platform in HAP1 cells incorporating surrogate target (ST) sequences and co-selection to enrich edited cells. They optimize pegRNA scaffold design and show that ST editing rates are a useful proxy to filter active pegRNAs from inactive ones. Negative (essentiality) and positive (6-thioguanine) selection screens reveal novel loss-of-function variants in SMARCB1 and MLH1 across coding and non-coding regions. Stringent pegRNA activity filtering and orthogonal validation are necessary to reduce false positives and negatives.
 Conclusion:Pooled prime editing with surrogate targets and co-selection can scalably reveal functional effects of coding and non-coding human variants in their native genomic context, but accurate scoring depends on pegRNA activity and validation; improvements in pegRNA design and prime editors should expand genome-wide applicability.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Pooled prime editing platform enables scalable installation of variants in haploid human cells (HAP1).- Surrogate targets (ST) and co-selection improve data quality by informing pegRNA activity and enriching edited cells.- Negative selection identifies LoF variants in SMARCB1; positive selection using 6TG identifies LoF variants in MLH1.- ST editing rates correlate with endogenous editing; ST editing is a proxy for ET editing.- Non-coding ClinVar variants in MLH1 can be functionally scored; 362 of 874 non-coding ClinVar variants were assigned function scores.- Pathogenic ClinVar variants in the MLH1 region show LoF scores; 54% called LoF; benign 2.4%.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[21: Pooled prime editing maps functional human variants at scale]]>
                </itunes:title>
                                    <itunes:episode>21</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Herger M et al., Cell Genomics - Herger et al. present a pooled prime editing platform in haploid human cells that installs and assays thousands of short variants in their endogenous context. Using surrogate targets, co-selection and stringent pegRNA filtering, negative and positive selection screens identify loss-of-function variants in SMARCB1 and MLH1, including non-coding ClinVar variants that alter splicing. Key terms: prime editing, variant functional screening, SMARCB1, MLH1, HAP1 cells.</p>
<p> Study Highlights:<br />The authors develop a lentiviral pooled prime editing (PE) platform in HAP1 cells incorporating surrogate target (ST) sequences and co-selection to enrich edited cells. They optimize pegRNA scaffold design and show that ST editing rates are a useful proxy to filter active pegRNAs from inactive ones. Negative (essentiality) and positive (6-thioguanine) selection screens reveal novel loss-of-function variants in SMARCB1 and MLH1 across coding and non-coding regions. Stringent pegRNA activity filtering and orthogonal validation are necessary to reduce false positives and negatives.</p>
<p> Conclusion:<br />Pooled prime editing with surrogate targets and co-selection can scalably reveal functional effects of coding and non-coding human variants in their native genomic context, but accurate scoring depends on pegRNA activity and validation; improvements in pegRNA design and prime editors should expand genome-wide applicability.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Pooled prime editing platform enables scalable installation of variants in haploid human cells (HAP1).<br />- Surrogate targets (ST) and co-selection improve data quality by informing pegRNA activity and enriching edited cells.<br />- Negative selection identifies LoF variants in SMARCB1; positive selection using 6TG identifies LoF variants in MLH1.<br />- ST editing rates correlate with endogenous editing; ST editing is a proxy for ET editing.<br />- Non-coding ClinVar variants in MLH1 can be functionally scored; 362 of 874 non-coding ClinVar variants were assigned function scores.<br />- Pathogenic ClinVar variants in the MLH1 region show LoF scores; 54% called LoF; benign 2.4%.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107590/c1e-w38o0b37xj3ux3xvg-8d0k0r51sqmw-grrm1y.mp3?awCollectionId=66206&amp;awEpisodeId=42b46ed9-b1ab-4fd4-9870-f45cbc6ca8e8&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fpooled-prime-editing-human-variants&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=e2ef2a5a7626c48bc1433c9dace8c15d6c9c927311044a190608583bdc5c3d4f" length="32739885"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Herger M et al., Cell Genomics - Herger et al. present a pooled prime editing platform in haploid human cells that installs and assays thousands of short variants in their endogenous context. Using surrogate targets, co-selection and stringent pegRNA filtering, negative and positive selection screens identify loss-of-function variants in SMARCB1 and MLH1, including non-coding ClinVar variants that alter splicing. Key terms: prime editing, variant functional screening, SMARCB1, MLH1, HAP1 cells.
 Study Highlights:The authors develop a lentiviral pooled prime editing (PE) platform in HAP1 cells incorporating surrogate target (ST) sequences and co-selection to enrich edited cells. They optimize pegRNA scaffold design and show that ST editing rates are a useful proxy to filter active pegRNAs from inactive ones. Negative (essentiality) and positive (6-thioguanine) selection screens reveal novel loss-of-function variants in SMARCB1 and MLH1 across coding and non-coding regions. Stringent pegRNA activity filtering and orthogonal validation are necessary to reduce false positives and negatives.
 Conclusion:Pooled prime editing with surrogate targets and co-selection can scalably reveal functional effects of coding and non-coding human variants in their native genomic context, but accurate scoring depends on pegRNA activity and validation; improvements in pegRNA design and prime editors should expand genome-wide applicability.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Pooled prime editing platform enables scalable installation of variants in haploid human cells (HAP1).- Surrogate targets (ST) and co-selection improve data quality by informing pegRNA activity and enriching edited cells.- Negative selection identifies LoF variants in SMARCB1; positive selection using 6TG identifies LoF variants in MLH1.- ST editing rates correlate with endogenous editing; ST editing is a proxy for ET editing.- Non-coding ClinVar variants in MLH1 can be functionally scored; 362 of 874 non-coding ClinVar variants were assigned function scores.- Pathogenic ClinVar variants in the MLH1 region show LoF scores; 54% called LoF; benign 2.4%.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107590/c1a-p6xp7-z319vg4nc89-ctb40q.png"></itunes:image>
                                                                            <itunes:duration>00:17:05</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[20: dhps Mutations and SP Protection]]>
                </title>
                <pubDate>Fri, 16 May 2025 01:46:54 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    8011d701-61a8-402f-82c1-379d27907ae0</guid>
                                    <link>https://basebybase.castos.com/episodes/impact-dhps-mutations-sp-protection</link>
                                <description>
                                            <![CDATA[<p>Mousa A et al., Nature Communications - Pooled analysis of seven therapeutic efficacy trials (1639 participants, 12 African sites) quantifies how dhps resistance genotypes shorten the duration of protection from sulfadoxine-pyrimethamine (SP) and maps predicted chemoprevention impact across Africa. Key terms: sulfadoxine-pyrimethamine, dhps mutations, chemoprevention, malaria, genomic surveillance.</p>
<p> Study Highlights:<br />The authors pooled individual-level data from seven trials (1639 participants) and used a Bayesian multi-strain Weibull survival model to estimate genotype-specific durations of SP protection while accounting for site-level transmission. Mean protection against sulfadoxine-susceptible dhps AKA parasites was longest (≈55.7 days), intermediate for dhps GKA (≈33.9 days), and substantially shorter for dhps GEA (≈10.7 days) and dhps GEG (≈11.7 days). SP combined with amodiaquine (SPAQ) showed markedly longer protection against GEA in the available data (≈42.5 days). The study produced maps and a web tool to predict local SP protective efficacy using genomic surveillance inputs.</p>
<p> Conclusion:<br />dhps resistance mutations substantially reduce the duration of SP post-treatment protection; integrating genotype surveillance into policy can guide where SP-based chemoprevention is likely to remain effective and where alternatives such as SPAQ should be considered.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- SP protection duration varies by dhps genotype; longest against sulfadoxine-susceptible AKA parasites (~55.7–56 days) and shorter for GKA (~33.9 days), GEA (~10.7 days), and GEG (~<br />- SPAQ (SP + amodiaquine) provides markedly longer protection against GEA than SP alone, with ~42.5 days versus ~10.7 days for SP alone.<br />- Validation with IPTi trials showed model predictions closely matched observed reinfection rates, supporting generalizability of genotype-specific protection estimates.<br />- A web-based tool was developed to predict SP protective efficacy based on local dhps genotype frequencies, enabling policy tailoring.<br />- Across sub-Saharan Africa, 30-day protective efficacy against infection varies from about 59% to 92%, with a mean of approximately 4.7 clinical malaria cases averted per 100 childr<br />- Policy implications: strategies should be tailored to local resistance patterns, using molecular surveillance to guide where SP is effective and where alternatives (e.g., SPAQ) sho</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Mousa A et al., Nature Communications - Pooled analysis of seven therapeutic efficacy trials (1639 participants, 12 African sites) quantifies how dhps resistance genotypes shorten the duration of protection from sulfadoxine-pyrimethamine (SP) and maps predicted chemoprevention impact across Africa. Key terms: sulfadoxine-pyrimethamine, dhps mutations, chemoprevention, malaria, genomic surveillance.
 Study Highlights:The authors pooled individual-level data from seven trials (1639 participants) and used a Bayesian multi-strain Weibull survival model to estimate genotype-specific durations of SP protection while accounting for site-level transmission. Mean protection against sulfadoxine-susceptible dhps AKA parasites was longest (≈55.7 days), intermediate for dhps GKA (≈33.9 days), and substantially shorter for dhps GEA (≈10.7 days) and dhps GEG (≈11.7 days). SP combined with amodiaquine (SPAQ) showed markedly longer protection against GEA in the available data (≈42.5 days). The study produced maps and a web tool to predict local SP protective efficacy using genomic surveillance inputs.
 Conclusion:dhps resistance mutations substantially reduce the duration of SP post-treatment protection; integrating genotype surveillance into policy can guide where SP-based chemoprevention is likely to remain effective and where alternatives such as SPAQ should be considered.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- SP protection duration varies by dhps genotype; longest against sulfadoxine-susceptible AKA parasites (~55.7–56 days) and shorter for GKA (~33.9 days), GEA (~10.7 days), and GEG (~- SPAQ (SP + amodiaquine) provides markedly longer protection against GEA than SP alone, with ~42.5 days versus ~10.7 days for SP alone.- Validation with IPTi trials showed model predictions closely matched observed reinfection rates, supporting generalizability of genotype-specific protection estimates.- A web-based tool was developed to predict SP protective efficacy based on local dhps genotype frequencies, enabling policy tailoring.- Across sub-Saharan Africa, 30-day protective efficacy against infection varies from about 59% to 92%, with a mean of approximately 4.7 clinical malaria cases averted per 100 childr- Policy implications: strategies should be tailored to local resistance patterns, using molecular surveillance to guide where SP is effective and where alternatives (e.g., SPAQ) sho
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[20: dhps Mutations and SP Protection]]>
                </itunes:title>
                                    <itunes:episode>20</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Mousa A et al., Nature Communications - Pooled analysis of seven therapeutic efficacy trials (1639 participants, 12 African sites) quantifies how dhps resistance genotypes shorten the duration of protection from sulfadoxine-pyrimethamine (SP) and maps predicted chemoprevention impact across Africa. Key terms: sulfadoxine-pyrimethamine, dhps mutations, chemoprevention, malaria, genomic surveillance.</p>
<p> Study Highlights:<br />The authors pooled individual-level data from seven trials (1639 participants) and used a Bayesian multi-strain Weibull survival model to estimate genotype-specific durations of SP protection while accounting for site-level transmission. Mean protection against sulfadoxine-susceptible dhps AKA parasites was longest (≈55.7 days), intermediate for dhps GKA (≈33.9 days), and substantially shorter for dhps GEA (≈10.7 days) and dhps GEG (≈11.7 days). SP combined with amodiaquine (SPAQ) showed markedly longer protection against GEA in the available data (≈42.5 days). The study produced maps and a web tool to predict local SP protective efficacy using genomic surveillance inputs.</p>
<p> Conclusion:<br />dhps resistance mutations substantially reduce the duration of SP post-treatment protection; integrating genotype surveillance into policy can guide where SP-based chemoprevention is likely to remain effective and where alternatives such as SPAQ should be considered.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- SP protection duration varies by dhps genotype; longest against sulfadoxine-susceptible AKA parasites (~55.7–56 days) and shorter for GKA (~33.9 days), GEA (~10.7 days), and GEG (~<br />- SPAQ (SP + amodiaquine) provides markedly longer protection against GEA than SP alone, with ~42.5 days versus ~10.7 days for SP alone.<br />- Validation with IPTi trials showed model predictions closely matched observed reinfection rates, supporting generalizability of genotype-specific protection estimates.<br />- A web-based tool was developed to predict SP protective efficacy based on local dhps genotype frequencies, enabling policy tailoring.<br />- Across sub-Saharan Africa, 30-day protective efficacy against infection varies from about 59% to 92%, with a mean of approximately 4.7 clinical malaria cases averted per 100 childr<br />- Policy implications: strategies should be tailored to local resistance patterns, using molecular surveillance to guide where SP is effective and where alternatives (e.g., SPAQ) sho</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Mousa A et al., Nature Communications - Pooled analysis of seven therapeutic efficacy trials (1639 participants, 12 African sites) quantifies how dhps resistance genotypes shorten the duration of protection from sulfadoxine-pyrimethamine (SP) and maps predicted chemoprevention impact across Africa. Key terms: sulfadoxine-pyrimethamine, dhps mutations, chemoprevention, malaria, genomic surveillance.
 Study Highlights:The authors pooled individual-level data from seven trials (1639 participants) and used a Bayesian multi-strain Weibull survival model to estimate genotype-specific durations of SP protection while accounting for site-level transmission. Mean protection against sulfadoxine-susceptible dhps AKA parasites was longest (≈55.7 days), intermediate for dhps GKA (≈33.9 days), and substantially shorter for dhps GEA (≈10.7 days) and dhps GEG (≈11.7 days). SP combined with amodiaquine (SPAQ) showed markedly longer protection against GEA in the available data (≈42.5 days). The study produced maps and a web tool to predict local SP protective efficacy using genomic surveillance inputs.
 Conclusion:dhps resistance mutations substantially reduce the duration of SP post-treatment protection; integrating genotype surveillance into policy can guide where SP-based chemoprevention is likely to remain effective and where alternatives such as SPAQ should be considered.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- SP protection duration varies by dhps genotype; longest against sulfadoxine-susceptible AKA parasites (~55.7–56 days) and shorter for GKA (~33.9 days), GEA (~10.7 days), and GEG (~- SPAQ (SP + amodiaquine) provides markedly longer protection against GEA than SP alone, with ~42.5 days versus ~10.7 days for SP alone.- Validation with IPTi trials showed model predictions closely matched observed reinfection rates, supporting generalizability of genotype-specific protection estimates.- A web-based tool was developed to predict SP protective efficacy based on local dhps genotype frequencies, enabling policy tailoring.- Across sub-Saharan Africa, 30-day protective efficacy against infection varies from about 59% to 92%, with a mean of approximately 4.7 clinical malaria cases averted per 100 childr- Policy implications: strategies should be tailored to local resistance patterns, using molecular surveillance to guide where SP is effective and where alternatives (e.g., SPAQ) sho
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107591/c1a-p6xp7-mk91dvgjh42j-1p0nji.png"></itunes:image>
                                                                            <itunes:duration>00:15:29</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[19: Promoters & UTRs: Diagnoses from the Near‑Coding Genome]]>
                </title>
                <pubDate>Wed, 14 May 2025 08:23:28 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    9d9d3b45-52aa-4057-8ebd-0ee43f461539</guid>
                                    <link>https://basebybase.castos.com/episodes/promoters-utrs-rare-disease-8040</link>
                                <description>
                                            <![CDATA[<p>Martin‑Geary AC et al et al., Genome Medicine - A systematic framework to prioritise promoter and UTR variants in 8040 undiagnosed trios from the Genomics England 100,000 Genomes Project, yielding ten likely diagnoses and a validated annotation pipeline for clinical use. Key terms: promoters, untranslated regions, de novo variants, rare disease, Genomics England.</p>
<p> Study Highlights:<br />The authors applied a region‑specific annotation and strict filtering pipeline to de novo variants in 8040 undiagnosed trios, focusing on proximal promoters and UTRs of dominant disease genes. Eleven candidate de novo variants (twelve total) were prioritised; ten lie in genes that match the proband phenotype and six represent newly identified diagnoses. Validation included RNA‑seq and DNA methylation where available, and pipeline benchmarking against ClinVar showed high specificity. Burden testing in 7862 probands versus matched controls did not show a significant collective enrichment of prioritised promoter/UTR variants.</p>
<p> Conclusion:<br />Screening proximal promoters and UTRs can uncover additional rare disease diagnoses and the authors provide a high‑specificity framework for clinical pipelines, but routinely including these regions is unlikely to dramatically increase overall diagnostic yield.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Framework to identify proximal promoter and UTR variants in known dominant disease genes was developed<br />- DNVs in 8040 undiagnosed individuals were analyzed; 1311 DNVs in 1118 probands<br />- Ten likely disease-causing promoter/UTR DNVs in ten individuals; nine prioritized and one SETD5 variant<br />- Four new diagnoses including SLC2A1, NIPBL, ZBTB18, SETD5; methylation episignature supporting SETD5<br />- Burden testing did not show significant enrichment of promoter/UTR variants in cases vs controls<br />- ClinVar analysis shows high specificity; pathogenic variants prioritized ~53.7%; benign ~0.71%</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Martin‑Geary AC et al et al., Genome Medicine - A systematic framework to prioritise promoter and UTR variants in 8040 undiagnosed trios from the Genomics England 100,000 Genomes Project, yielding ten likely diagnoses and a validated annotation pipeline for clinical use. Key terms: promoters, untranslated regions, de novo variants, rare disease, Genomics England.
 Study Highlights:The authors applied a region‑specific annotation and strict filtering pipeline to de novo variants in 8040 undiagnosed trios, focusing on proximal promoters and UTRs of dominant disease genes. Eleven candidate de novo variants (twelve total) were prioritised; ten lie in genes that match the proband phenotype and six represent newly identified diagnoses. Validation included RNA‑seq and DNA methylation where available, and pipeline benchmarking against ClinVar showed high specificity. Burden testing in 7862 probands versus matched controls did not show a significant collective enrichment of prioritised promoter/UTR variants.
 Conclusion:Screening proximal promoters and UTRs can uncover additional rare disease diagnoses and the authors provide a high‑specificity framework for clinical pipelines, but routinely including these regions is unlikely to dramatically increase overall diagnostic yield.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Framework to identify proximal promoter and UTR variants in known dominant disease genes was developed- DNVs in 8040 undiagnosed individuals were analyzed; 1311 DNVs in 1118 probands- Ten likely disease-causing promoter/UTR DNVs in ten individuals; nine prioritized and one SETD5 variant- Four new diagnoses including SLC2A1, NIPBL, ZBTB18, SETD5; methylation episignature supporting SETD5- Burden testing did not show significant enrichment of promoter/UTR variants in cases vs controls- ClinVar analysis shows high specificity; pathogenic variants prioritized ~53.7%; benign ~0.71%
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[19: Promoters & UTRs: Diagnoses from the Near‑Coding Genome]]>
                </itunes:title>
                                    <itunes:episode>19</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Martin‑Geary AC et al et al., Genome Medicine - A systematic framework to prioritise promoter and UTR variants in 8040 undiagnosed trios from the Genomics England 100,000 Genomes Project, yielding ten likely diagnoses and a validated annotation pipeline for clinical use. Key terms: promoters, untranslated regions, de novo variants, rare disease, Genomics England.</p>
<p> Study Highlights:<br />The authors applied a region‑specific annotation and strict filtering pipeline to de novo variants in 8040 undiagnosed trios, focusing on proximal promoters and UTRs of dominant disease genes. Eleven candidate de novo variants (twelve total) were prioritised; ten lie in genes that match the proband phenotype and six represent newly identified diagnoses. Validation included RNA‑seq and DNA methylation where available, and pipeline benchmarking against ClinVar showed high specificity. Burden testing in 7862 probands versus matched controls did not show a significant collective enrichment of prioritised promoter/UTR variants.</p>
<p> Conclusion:<br />Screening proximal promoters and UTRs can uncover additional rare disease diagnoses and the authors provide a high‑specificity framework for clinical pipelines, but routinely including these regions is unlikely to dramatically increase overall diagnostic yield.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-14.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Framework to identify proximal promoter and UTR variants in known dominant disease genes was developed<br />- DNVs in 8040 undiagnosed individuals were analyzed; 1311 DNVs in 1118 probands<br />- Ten likely disease-causing promoter/UTR DNVs in ten individuals; nine prioritized and one SETD5 variant<br />- Four new diagnoses including SLC2A1, NIPBL, ZBTB18, SETD5; methylation episignature supporting SETD5<br />- Burden testing did not show significant enrichment of promoter/UTR variants in cases vs controls<br />- ClinVar analysis shows high specificity; pathogenic variants prioritized ~53.7%; benign ~0.71%</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Martin‑Geary AC et al et al., Genome Medicine - A systematic framework to prioritise promoter and UTR variants in 8040 undiagnosed trios from the Genomics England 100,000 Genomes Project, yielding ten likely diagnoses and a validated annotation pipeline for clinical use. Key terms: promoters, untranslated regions, de novo variants, rare disease, Genomics England.
 Study Highlights:The authors applied a region‑specific annotation and strict filtering pipeline to de novo variants in 8040 undiagnosed trios, focusing on proximal promoters and UTRs of dominant disease genes. Eleven candidate de novo variants (twelve total) were prioritised; ten lie in genes that match the proband phenotype and six represent newly identified diagnoses. Validation included RNA‑seq and DNA methylation where available, and pipeline benchmarking against ClinVar showed high specificity. Burden testing in 7862 probands versus matched controls did not show a significant collective enrichment of prioritised promoter/UTR variants.
 Conclusion:Screening proximal promoters and UTRs can uncover additional rare disease diagnoses and the authors provide a high‑specificity framework for clinical pipelines, but routinely including these regions is unlikely to dramatically increase overall diagnostic yield.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-14.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Framework to identify proximal promoter and UTR variants in known dominant disease genes was developed- DNVs in 8040 undiagnosed individuals were analyzed; 1311 DNVs in 1118 probands- Ten likely disease-causing promoter/UTR DNVs in ten individuals; nine prioritized and one SETD5 variant- Four new diagnoses including SLC2A1, NIPBL, ZBTB18, SETD5; methylation episignature supporting SETD5- Burden testing did not show significant enrichment of promoter/UTR variants in cases vs controls- ClinVar analysis shows high specificity; pathogenic variants prioritized ~53.7%; benign ~0.71%
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107592/c1a-p6xp7-kpod7znruw2o-oe3u9q.png"></itunes:image>
                                                                            <itunes:duration>00:18:18</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[18: UGGT1-CDG: Bi-allelic UGGT1 variants and a new congenital disorder of glycosylation]]>
                </title>
                <pubDate>Tue, 13 May 2025 13:44:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    8f544c54-69ac-4884-b0dd-c0833651ff32</guid>
                                    <link>https://basebybase.castos.com/episodes/uggt1-cdg-bi-allelic-uggt1-variants</link>
                                <description>
                                            <![CDATA[<p>Dardas Z et al., The American Journal of Human Genetics - This episode reviews Dardas et al. (2025), which identifies bi-allelic UGGT1 variants in 15 affected individuals as the cause of a distinct congenital disorder of glycosylation (UGGT1-CDG), describes the clinical spectrum, and dissects diverse molecular mechanisms that impair UGGT1 function. Key terms: UGGT1, congenital disorder of glycosylation, neurodevelopmental disorder, glucosyltransferase, ER quality control.</p>
<p> Study Highlights:<br />Fifteen individuals from ten unrelated families were shown to harbor bi-allelic UGGT1 variants associated with a variable multisystem phenotype dominated by global developmental delay, intellectual disability, seizures, dysmorphic facial features, and frequent microcephaly. Functional studies demonstrated that pathogenic variants impair UGGT1 glucosyltransferase catalytic activity, disrupt mRNA splicing, or abrogate ER retention causing extracellular secretion. Genotype–phenotype correlations indicate that bi-allelic loss-of-function alleles associate with greater severity, including infant death, whereas hypomorphic alleles permit survival with neurodevelopmental disability. Standard transferrin testing was often normal, highlighting the need for genetic testing when clinical suspicion for a CDG is high.</p>
<p> Conclusion:<br />Bi-allelic UGGT1 variants define UGGT1-CDG, a clinically variable N-linked glycosylation disorder in which distinct molecular mechanisms—loss of catalytic activity, splicing disruption, or loss of ER retention—compromise ER quality control and underlie neurologic and multisystem disease; genetic testing is recommended when CDG is suspected as transferrin assays may be normal.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- UGGT1-CDG is caused by bi-allelic UGGT1 variants (15 individuals from 10 families).<br />- Pathogenic UGGT1 variants impair glucosyltransferase activity, disrupt splicing, or inhibit ER retention.<br />- Transferrin testing may be normal; genetic testing is essential for diagnosis.<br />- Arg1546* UGGT1 variant represents an Arab founder variant with a shared haplotype.<br />- Survival beyond infancy is possible with hypomorphic (missense) UGGT1 variants; null alleles associated with more severe outcomes including perinatal death.<br />- Total UGGT1-CDG cases described</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Dardas Z et al., The American Journal of Human Genetics - This episode reviews Dardas et al. (2025), which identifies bi-allelic UGGT1 variants in 15 affected individuals as the cause of a distinct congenital disorder of glycosylation (UGGT1-CDG), describes the clinical spectrum, and dissects diverse molecular mechanisms that impair UGGT1 function. Key terms: UGGT1, congenital disorder of glycosylation, neurodevelopmental disorder, glucosyltransferase, ER quality control.
 Study Highlights:Fifteen individuals from ten unrelated families were shown to harbor bi-allelic UGGT1 variants associated with a variable multisystem phenotype dominated by global developmental delay, intellectual disability, seizures, dysmorphic facial features, and frequent microcephaly. Functional studies demonstrated that pathogenic variants impair UGGT1 glucosyltransferase catalytic activity, disrupt mRNA splicing, or abrogate ER retention causing extracellular secretion. Genotype–phenotype correlations indicate that bi-allelic loss-of-function alleles associate with greater severity, including infant death, whereas hypomorphic alleles permit survival with neurodevelopmental disability. Standard transferrin testing was often normal, highlighting the need for genetic testing when clinical suspicion for a CDG is high.
 Conclusion:Bi-allelic UGGT1 variants define UGGT1-CDG, a clinically variable N-linked glycosylation disorder in which distinct molecular mechanisms—loss of catalytic activity, splicing disruption, or loss of ER retention—compromise ER quality control and underlie neurologic and multisystem disease; genetic testing is recommended when CDG is suspected as transferrin assays may be normal.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- UGGT1-CDG is caused by bi-allelic UGGT1 variants (15 individuals from 10 families).- Pathogenic UGGT1 variants impair glucosyltransferase activity, disrupt splicing, or inhibit ER retention.- Transferrin testing may be normal; genetic testing is essential for diagnosis.- Arg1546* UGGT1 variant represents an Arab founder variant with a shared haplotype.- Survival beyond infancy is possible with hypomorphic (missense) UGGT1 variants; null alleles associated with more severe outcomes including perinatal death.- Total UGGT1-CDG cases described
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[18: UGGT1-CDG: Bi-allelic UGGT1 variants and a new congenital disorder of glycosylation]]>
                </itunes:title>
                                    <itunes:episode>18</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Dardas Z et al., The American Journal of Human Genetics - This episode reviews Dardas et al. (2025), which identifies bi-allelic UGGT1 variants in 15 affected individuals as the cause of a distinct congenital disorder of glycosylation (UGGT1-CDG), describes the clinical spectrum, and dissects diverse molecular mechanisms that impair UGGT1 function. Key terms: UGGT1, congenital disorder of glycosylation, neurodevelopmental disorder, glucosyltransferase, ER quality control.</p>
<p> Study Highlights:<br />Fifteen individuals from ten unrelated families were shown to harbor bi-allelic UGGT1 variants associated with a variable multisystem phenotype dominated by global developmental delay, intellectual disability, seizures, dysmorphic facial features, and frequent microcephaly. Functional studies demonstrated that pathogenic variants impair UGGT1 glucosyltransferase catalytic activity, disrupt mRNA splicing, or abrogate ER retention causing extracellular secretion. Genotype–phenotype correlations indicate that bi-allelic loss-of-function alleles associate with greater severity, including infant death, whereas hypomorphic alleles permit survival with neurodevelopmental disability. Standard transferrin testing was often normal, highlighting the need for genetic testing when clinical suspicion for a CDG is high.</p>
<p> Conclusion:<br />Bi-allelic UGGT1 variants define UGGT1-CDG, a clinically variable N-linked glycosylation disorder in which distinct molecular mechanisms—loss of catalytic activity, splicing disruption, or loss of ER retention—compromise ER quality control and underlie neurologic and multisystem disease; genetic testing is recommended when CDG is suspected as transferrin assays may be normal.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- UGGT1-CDG is caused by bi-allelic UGGT1 variants (15 individuals from 10 families).<br />- Pathogenic UGGT1 variants impair glucosyltransferase activity, disrupt splicing, or inhibit ER retention.<br />- Transferrin testing may be normal; genetic testing is essential for diagnosis.<br />- Arg1546* UGGT1 variant represents an Arab founder variant with a shared haplotype.<br />- Survival beyond infancy is possible with hypomorphic (missense) UGGT1 variants; null alleles associated with more severe outcomes including perinatal death.<br />- Total UGGT1-CDG cases described</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Dardas Z et al., The American Journal of Human Genetics - This episode reviews Dardas et al. (2025), which identifies bi-allelic UGGT1 variants in 15 affected individuals as the cause of a distinct congenital disorder of glycosylation (UGGT1-CDG), describes the clinical spectrum, and dissects diverse molecular mechanisms that impair UGGT1 function. Key terms: UGGT1, congenital disorder of glycosylation, neurodevelopmental disorder, glucosyltransferase, ER quality control.
 Study Highlights:Fifteen individuals from ten unrelated families were shown to harbor bi-allelic UGGT1 variants associated with a variable multisystem phenotype dominated by global developmental delay, intellectual disability, seizures, dysmorphic facial features, and frequent microcephaly. Functional studies demonstrated that pathogenic variants impair UGGT1 glucosyltransferase catalytic activity, disrupt mRNA splicing, or abrogate ER retention causing extracellular secretion. Genotype–phenotype correlations indicate that bi-allelic loss-of-function alleles associate with greater severity, including infant death, whereas hypomorphic alleles permit survival with neurodevelopmental disability. Standard transferrin testing was often normal, highlighting the need for genetic testing when clinical suspicion for a CDG is high.
 Conclusion:Bi-allelic UGGT1 variants define UGGT1-CDG, a clinically variable N-linked glycosylation disorder in which distinct molecular mechanisms—loss of catalytic activity, splicing disruption, or loss of ER retention—compromise ER quality control and underlie neurologic and multisystem disease; genetic testing is recommended when CDG is suspected as transferrin assays may be normal.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- UGGT1-CDG is caused by bi-allelic UGGT1 variants (15 individuals from 10 families).- Pathogenic UGGT1 variants impair glucosyltransferase activity, disrupt splicing, or inhibit ER retention.- Transferrin testing may be normal; genetic testing is essential for diagnosis.- Arg1546* UGGT1 variant represents an Arab founder variant with a shared haplotype.- Survival beyond infancy is possible with hypomorphic (missense) UGGT1 variants; null alleles associated with more severe outcomes including perinatal death.- Total UGGT1-CDG cases described
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107593/c1a-p6xp7-6z8w2gqmc5o6-bs4u6o.png"></itunes:image>
                                                                            <itunes:duration>00:25:14</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[17: The structure of human sweetness]]>
                </title>
                <pubDate>Tue, 13 May 2025 01:46:09 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    674a9963-1be7-4347-8b2f-9c30a36e8f9f</guid>
                                    <link>https://basebybase.castos.com/episodes/structure-of-human-sweetness</link>
                                <description>
                                            <![CDATA[<p>Juen Z et al., Cell - This episode examines a cryo-EM study that resolves the human sweet taste receptor (TAS1R2+TAS1R3) bound to two artificial sweeteners, revealing how a single receptor recognizes diverse sweet compounds and couples to G proteins. Key terms: sweet taste receptor, TAS1R2, TAS1R3, cryo-EM, sucralose.</p>
<p> Study Highlights:<br />Single-particle cryo-EM determined the structure of the human TAS1R2+TAS1R3 heterodimer bound to sucralose and aspartame at multi-angstrom resolution. The TAS1R2 subunit contains a conserved Venus flytrap (VFT) binding pocket that accommodates both sucralose and aspartame, while TAS1R3 remains in an open conformation. Site-directed mutagenesis of VFT residues (e.g., Y103, D142, S165, Y215, D278) altered ligand responses, supporting the mapped pocket. 3D variability analysis shows coordinated conformational changes between subunits and identifies elements linking ligand binding to the transmembrane and G protein-coupling regions.</p>
<p> Conclusion:<br />The cryo-EM structures define a common TAS1R2 binding pocket for high-potency sweeteners and reveal structural features linking agonist binding to G protein coupling, providing a foundation for structure-guided modulation of sweet taste.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The human sweet receptor TAS1R2+TAS1R3 forms an obligatory heterodimer mediating sweet detection.<br />- There is a common binding pocket in TAS1R2 that binds both sucralose and aspartame.<br />- TAS1R2 is the ligand-binding and G protein-coupling subunit; TAS1R3 anchors and maintains open conformation.<br />- Key pocket residues Y103, D142, S165, Y215, D278 mediate ligand recognition; mutations disrupt function.<br />- G protein coupling involves TAS1R2 residues Y756 and F827; mutations disrupt coupling.<br />- TAS1R3 contributes to VFT dynamics and receptor activation; mutations in TAS1R3 affect function.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Juen Z et al., Cell - This episode examines a cryo-EM study that resolves the human sweet taste receptor (TAS1R2+TAS1R3) bound to two artificial sweeteners, revealing how a single receptor recognizes diverse sweet compounds and couples to G proteins. Key terms: sweet taste receptor, TAS1R2, TAS1R3, cryo-EM, sucralose.
 Study Highlights:Single-particle cryo-EM determined the structure of the human TAS1R2+TAS1R3 heterodimer bound to sucralose and aspartame at multi-angstrom resolution. The TAS1R2 subunit contains a conserved Venus flytrap (VFT) binding pocket that accommodates both sucralose and aspartame, while TAS1R3 remains in an open conformation. Site-directed mutagenesis of VFT residues (e.g., Y103, D142, S165, Y215, D278) altered ligand responses, supporting the mapped pocket. 3D variability analysis shows coordinated conformational changes between subunits and identifies elements linking ligand binding to the transmembrane and G protein-coupling regions.
 Conclusion:The cryo-EM structures define a common TAS1R2 binding pocket for high-potency sweeteners and reveal structural features linking agonist binding to G protein coupling, providing a foundation for structure-guided modulation of sweet taste.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The human sweet receptor TAS1R2+TAS1R3 forms an obligatory heterodimer mediating sweet detection.- There is a common binding pocket in TAS1R2 that binds both sucralose and aspartame.- TAS1R2 is the ligand-binding and G protein-coupling subunit; TAS1R3 anchors and maintains open conformation.- Key pocket residues Y103, D142, S165, Y215, D278 mediate ligand recognition; mutations disrupt function.- G protein coupling involves TAS1R2 residues Y756 and F827; mutations disrupt coupling.- TAS1R3 contributes to VFT dynamics and receptor activation; mutations in TAS1R3 affect function.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[17: The structure of human sweetness]]>
                </itunes:title>
                                    <itunes:episode>17</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Juen Z et al., Cell - This episode examines a cryo-EM study that resolves the human sweet taste receptor (TAS1R2+TAS1R3) bound to two artificial sweeteners, revealing how a single receptor recognizes diverse sweet compounds and couples to G proteins. Key terms: sweet taste receptor, TAS1R2, TAS1R3, cryo-EM, sucralose.</p>
<p> Study Highlights:<br />Single-particle cryo-EM determined the structure of the human TAS1R2+TAS1R3 heterodimer bound to sucralose and aspartame at multi-angstrom resolution. The TAS1R2 subunit contains a conserved Venus flytrap (VFT) binding pocket that accommodates both sucralose and aspartame, while TAS1R3 remains in an open conformation. Site-directed mutagenesis of VFT residues (e.g., Y103, D142, S165, Y215, D278) altered ligand responses, supporting the mapped pocket. 3D variability analysis shows coordinated conformational changes between subunits and identifies elements linking ligand binding to the transmembrane and G protein-coupling regions.</p>
<p> Conclusion:<br />The cryo-EM structures define a common TAS1R2 binding pocket for high-potency sweeteners and reveal structural features linking agonist binding to G protein coupling, providing a foundation for structure-guided modulation of sweet taste.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-13.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The human sweet receptor TAS1R2+TAS1R3 forms an obligatory heterodimer mediating sweet detection.<br />- There is a common binding pocket in TAS1R2 that binds both sucralose and aspartame.<br />- TAS1R2 is the ligand-binding and G protein-coupling subunit; TAS1R3 anchors and maintains open conformation.<br />- Key pocket residues Y103, D142, S165, Y215, D278 mediate ligand recognition; mutations disrupt function.<br />- G protein coupling involves TAS1R2 residues Y756 and F827; mutations disrupt coupling.<br />- TAS1R3 contributes to VFT dynamics and receptor activation; mutations in TAS1R3 affect function.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107594/c1e-o6zv5c2nprmtmpmgn-nd1mv8znhgr2-vs82l8.mp3?awCollectionId=66206&amp;awEpisodeId=674a9963-1be7-4347-8b2f-9c30a36e8f9f&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fstructure-of-human-sweetness&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=148cfe7a5ebb2c3eb9a576af5fce6b67d13ffb6bdec943a44726583f2c207e63" length="36068589"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Juen Z et al., Cell - This episode examines a cryo-EM study that resolves the human sweet taste receptor (TAS1R2+TAS1R3) bound to two artificial sweeteners, revealing how a single receptor recognizes diverse sweet compounds and couples to G proteins. Key terms: sweet taste receptor, TAS1R2, TAS1R3, cryo-EM, sucralose.
 Study Highlights:Single-particle cryo-EM determined the structure of the human TAS1R2+TAS1R3 heterodimer bound to sucralose and aspartame at multi-angstrom resolution. The TAS1R2 subunit contains a conserved Venus flytrap (VFT) binding pocket that accommodates both sucralose and aspartame, while TAS1R3 remains in an open conformation. Site-directed mutagenesis of VFT residues (e.g., Y103, D142, S165, Y215, D278) altered ligand responses, supporting the mapped pocket. 3D variability analysis shows coordinated conformational changes between subunits and identifies elements linking ligand binding to the transmembrane and G protein-coupling regions.
 Conclusion:The cryo-EM structures define a common TAS1R2 binding pocket for high-potency sweeteners and reveal structural features linking agonist binding to G protein coupling, providing a foundation for structure-guided modulation of sweet taste.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-05-13.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The human sweet receptor TAS1R2+TAS1R3 forms an obligatory heterodimer mediating sweet detection.- There is a common binding pocket in TAS1R2 that binds both sucralose and aspartame.- TAS1R2 is the ligand-binding and G protein-coupling subunit; TAS1R3 anchors and maintains open conformation.- Key pocket residues Y103, D142, S165, Y215, D278 mediate ligand recognition; mutations disrupt function.- G protein coupling involves TAS1R2 residues Y756 and F827; mutations disrupt coupling.- TAS1R3 contributes to VFT dynamics and receptor activation; mutations in TAS1R3 affect function.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107594/c1a-p6xp7-z319vgpos8g-byx1cv.png"></itunes:image>
                                                                            <itunes:duration>00:20:18</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[16: Advancing equity in human genomics]]>
                </title>
                <pubDate>Fri, 25 Apr 2025 10:57:40 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    1051d1b5-aba6-47f1-950f-2dbec4e5251e</guid>
                                    <link>https://basebybase.castos.com/episodes/advancing-equity-in-human-genomics</link>
                                <description>
                                            <![CDATA[<p>Arruda AL et al., Cell Genomics - A commentary calling for generation of tissue-specific molecular data across diverse ancestries to improve fine-mapping, causal inference, and equitable translation of GWAS findings beyond Eurocentric and blood-focused resources. Key terms: genomic equity, multi-ancestry, molecular QTL, tissue-specific, GWAS.</p>
<p> Study Highlights:<br />The authors document pervasive Eurocentric bias across GWAS and molecular QTL resources and note that most available molecular data with genetics are derived from blood. They argue that tissue-specific regulatory variation and ancestry differences in linkage disequilibrium require primary-tissue multi-ancestry molecular datasets to resolve noncoding GWAS signals. GTEx and other initiatives contribute valuable data but have limited non-European sample sizes and incomplete ancestry metadata, constraining colocalization and causal inference. The commentary calls for targeted funding, infrastructure, community engagement, and global collaboration to generate diverse tissue molecular data.</p>
<p> Conclusion:<br />To achieve equitable and translatable genomics, the field must prioritize generation of tissue-specific, multi-ancestry molecular datasets, improve ancestry metadata, and invest in methods and partnerships that enable inclusive fine-mapping and functional interpretation.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- GWAS are biased toward European-ancestry populations; diversification broadens discovery.<br />- Multiancestry data improves fine-mapping by enabling smaller LD blocks and better localization of causal variants.<br />- Lack of ancestry metadata and tissue-specific molecular data is a bottleneck; GTEx data show limited non-European samples and power issues when stratified by tissue.<br />- Colocalization and Mendelian randomization link GWAS signals to molecular traits to infer causal mechanisms.<br />- Ugandan eGFR study identified an African-specific intergenic variant at the GATM locus; this variant is monomorphic in European ancestry and rare in East Asian ancestry, illustrati<br />- Longitudinal multi-omics data across tissues is a long-term goal to enable dynamic understanding of health and disease across diverse populations.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Arruda AL et al., Cell Genomics - A commentary calling for generation of tissue-specific molecular data across diverse ancestries to improve fine-mapping, causal inference, and equitable translation of GWAS findings beyond Eurocentric and blood-focused resources. Key terms: genomic equity, multi-ancestry, molecular QTL, tissue-specific, GWAS.
 Study Highlights:The authors document pervasive Eurocentric bias across GWAS and molecular QTL resources and note that most available molecular data with genetics are derived from blood. They argue that tissue-specific regulatory variation and ancestry differences in linkage disequilibrium require primary-tissue multi-ancestry molecular datasets to resolve noncoding GWAS signals. GTEx and other initiatives contribute valuable data but have limited non-European sample sizes and incomplete ancestry metadata, constraining colocalization and causal inference. The commentary calls for targeted funding, infrastructure, community engagement, and global collaboration to generate diverse tissue molecular data.
 Conclusion:To achieve equitable and translatable genomics, the field must prioritize generation of tissue-specific, multi-ancestry molecular datasets, improve ancestry metadata, and invest in methods and partnerships that enable inclusive fine-mapping and functional interpretation.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- GWAS are biased toward European-ancestry populations; diversification broadens discovery.- Multiancestry data improves fine-mapping by enabling smaller LD blocks and better localization of causal variants.- Lack of ancestry metadata and tissue-specific molecular data is a bottleneck; GTEx data show limited non-European samples and power issues when stratified by tissue.- Colocalization and Mendelian randomization link GWAS signals to molecular traits to infer causal mechanisms.- Ugandan eGFR study identified an African-specific intergenic variant at the GATM locus; this variant is monomorphic in European ancestry and rare in East Asian ancestry, illustrati- Longitudinal multi-omics data across tissues is a long-term goal to enable dynamic understanding of health and disease across diverse populations.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[16: Advancing equity in human genomics]]>
                </itunes:title>
                                    <itunes:episode>16</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Arruda AL et al., Cell Genomics - A commentary calling for generation of tissue-specific molecular data across diverse ancestries to improve fine-mapping, causal inference, and equitable translation of GWAS findings beyond Eurocentric and blood-focused resources. Key terms: genomic equity, multi-ancestry, molecular QTL, tissue-specific, GWAS.</p>
<p> Study Highlights:<br />The authors document pervasive Eurocentric bias across GWAS and molecular QTL resources and note that most available molecular data with genetics are derived from blood. They argue that tissue-specific regulatory variation and ancestry differences in linkage disequilibrium require primary-tissue multi-ancestry molecular datasets to resolve noncoding GWAS signals. GTEx and other initiatives contribute valuable data but have limited non-European sample sizes and incomplete ancestry metadata, constraining colocalization and causal inference. The commentary calls for targeted funding, infrastructure, community engagement, and global collaboration to generate diverse tissue molecular data.</p>
<p> Conclusion:<br />To achieve equitable and translatable genomics, the field must prioritize generation of tissue-specific, multi-ancestry molecular datasets, improve ancestry metadata, and invest in methods and partnerships that enable inclusive fine-mapping and functional interpretation.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- GWAS are biased toward European-ancestry populations; diversification broadens discovery.<br />- Multiancestry data improves fine-mapping by enabling smaller LD blocks and better localization of causal variants.<br />- Lack of ancestry metadata and tissue-specific molecular data is a bottleneck; GTEx data show limited non-European samples and power issues when stratified by tissue.<br />- Colocalization and Mendelian randomization link GWAS signals to molecular traits to infer causal mechanisms.<br />- Ugandan eGFR study identified an African-specific intergenic variant at the GATM locus; this variant is monomorphic in European ancestry and rare in East Asian ancestry, illustrati<br />- Longitudinal multi-omics data across tissues is a long-term goal to enable dynamic understanding of health and disease across diverse populations.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Arruda AL et al., Cell Genomics - A commentary calling for generation of tissue-specific molecular data across diverse ancestries to improve fine-mapping, causal inference, and equitable translation of GWAS findings beyond Eurocentric and blood-focused resources. Key terms: genomic equity, multi-ancestry, molecular QTL, tissue-specific, GWAS.
 Study Highlights:The authors document pervasive Eurocentric bias across GWAS and molecular QTL resources and note that most available molecular data with genetics are derived from blood. They argue that tissue-specific regulatory variation and ancestry differences in linkage disequilibrium require primary-tissue multi-ancestry molecular datasets to resolve noncoding GWAS signals. GTEx and other initiatives contribute valuable data but have limited non-European sample sizes and incomplete ancestry metadata, constraining colocalization and causal inference. The commentary calls for targeted funding, infrastructure, community engagement, and global collaboration to generate diverse tissue molecular data.
 Conclusion:To achieve equitable and translatable genomics, the field must prioritize generation of tissue-specific, multi-ancestry molecular datasets, improve ancestry metadata, and invest in methods and partnerships that enable inclusive fine-mapping and functional interpretation.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- GWAS are biased toward European-ancestry populations; diversification broadens discovery.- Multiancestry data improves fine-mapping by enabling smaller LD blocks and better localization of causal variants.- Lack of ancestry metadata and tissue-specific molecular data is a bottleneck; GTEx data show limited non-European samples and power issues when stratified by tissue.- Colocalization and Mendelian randomization link GWAS signals to molecular traits to infer causal mechanisms.- Ugandan eGFR study identified an African-specific intergenic variant at the GATM locus; this variant is monomorphic in European ancestry and rare in East Asian ancestry, illustrati- Longitudinal multi-omics data across tissues is a long-term goal to enable dynamic understanding of health and disease across diverse populations.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107595/c1a-p6xp7-ok03o5j3hxd4-c8pop4.png"></itunes:image>
                                                                            <itunes:duration>00:15:52</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[15: The genetic changes that shaped Neandertals, Denisovans, and modern humans]]>
                </title>
                <pubDate>Fri, 25 Apr 2025 10:56:29 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    24eb118e-63fb-4d25-9b92-068f54fbf1ca</guid>
                                    <link>https://basebybase.castos.com/episodes/genetic-changes-neandertals-denisovans-modern-humans</link>
                                <description>
                                            <![CDATA[<p>Zeberg H et al., Cell - A review of genetic differences among modern humans, Neandertals, and Denisovans, their functional consequences, and how introgression and lineage-specific changes shaped traits from immunity to neurodevelopment. Key terms: Neandertal introgression, Denisovan introgression, modern human evolution, adaptive introgression, archaic DNA.</p>
<p> Study Highlights:<br />Modern human ancestors diverged from Neandertals and Denisovans about 600,000 years ago and later experienced intermittent gene flow that left archaic DNA fragments in present-day genomes. The review surveys functional impacts of introgressed and modern-human-specific variants on metabolism, immunity, reproduction, sensation, and neurogenesis, citing examples such as SLC16A11, EPAS1, Toll-like receptors, the chromosome 3 COVID-19 risk haplotype, and modern substitutions affecting purine biosynthesis and mitosis in neural progenitors. It argues that modern human uniqueness is best viewed as a combinatorial set of derived variants rather than single universally fixed changes and highlights expanding, diverse biobanks and experimental systems as key to future functional insight.</p>
<p> Conclusion:<br />Modern human distinctiveness arises from a combination of lineage-specific substitutions and introgressed alleles whose functional effects vary by locus and population; studying archaic contributions and modern-specific changes via diverse genomic cohorts and functional models will clarify their physiological and medical relevance.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Modern humans outside Africa have Neanderthal DNA comprising about 2% of their genome.<br />- Denisovan ancestry contributes &gt;5% of the genome in some Oceanian populations; overall Denisovan ancestry is around 0.2% in many populations.<br />- Archaic DNA segments are typically ~50 kb in length today, with some segments as small as ~12 kb representing older shared ancestry.<br />- A Neanderthal variant in SCN9A (sodium channel) increases pain sensitivity; around 0.4% of UK population carries the Neanderthal version.<br />- A Neanderthal haplotype on chromosome 3 increases risk of severe COVID-19 (ventilation/dying) but reduces HIV risk via CCR5 downregulation (~25% reduced infection risk).<br />- Denisovan EPAS1 haplotype contributes to high-altitude adaptation in Tibetans (often &gt;80% carry the Denisovan segment).</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zeberg H et al., Cell - A review of genetic differences among modern humans, Neandertals, and Denisovans, their functional consequences, and how introgression and lineage-specific changes shaped traits from immunity to neurodevelopment. Key terms: Neandertal introgression, Denisovan introgression, modern human evolution, adaptive introgression, archaic DNA.
 Study Highlights:Modern human ancestors diverged from Neandertals and Denisovans about 600,000 years ago and later experienced intermittent gene flow that left archaic DNA fragments in present-day genomes. The review surveys functional impacts of introgressed and modern-human-specific variants on metabolism, immunity, reproduction, sensation, and neurogenesis, citing examples such as SLC16A11, EPAS1, Toll-like receptors, the chromosome 3 COVID-19 risk haplotype, and modern substitutions affecting purine biosynthesis and mitosis in neural progenitors. It argues that modern human uniqueness is best viewed as a combinatorial set of derived variants rather than single universally fixed changes and highlights expanding, diverse biobanks and experimental systems as key to future functional insight.
 Conclusion:Modern human distinctiveness arises from a combination of lineage-specific substitutions and introgressed alleles whose functional effects vary by locus and population; studying archaic contributions and modern-specific changes via diverse genomic cohorts and functional models will clarify their physiological and medical relevance.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Modern humans outside Africa have Neanderthal DNA comprising about 2% of their genome.- Denisovan ancestry contributes >5% of the genome in some Oceanian populations; overall Denisovan ancestry is around 0.2% in many populations.- Archaic DNA segments are typically ~50 kb in length today, with some segments as small as ~12 kb representing older shared ancestry.- A Neanderthal variant in SCN9A (sodium channel) increases pain sensitivity; around 0.4% of UK population carries the Neanderthal version.- A Neanderthal haplotype on chromosome 3 increases risk of severe COVID-19 (ventilation/dying) but reduces HIV risk via CCR5 downregulation (~25% reduced infection risk).- Denisovan EPAS1 haplotype contributes to high-altitude adaptation in Tibetans (often >80% carry the Denisovan segment).
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[15: The genetic changes that shaped Neandertals, Denisovans, and modern humans]]>
                </itunes:title>
                                    <itunes:episode>15</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zeberg H et al., Cell - A review of genetic differences among modern humans, Neandertals, and Denisovans, their functional consequences, and how introgression and lineage-specific changes shaped traits from immunity to neurodevelopment. Key terms: Neandertal introgression, Denisovan introgression, modern human evolution, adaptive introgression, archaic DNA.</p>
<p> Study Highlights:<br />Modern human ancestors diverged from Neandertals and Denisovans about 600,000 years ago and later experienced intermittent gene flow that left archaic DNA fragments in present-day genomes. The review surveys functional impacts of introgressed and modern-human-specific variants on metabolism, immunity, reproduction, sensation, and neurogenesis, citing examples such as SLC16A11, EPAS1, Toll-like receptors, the chromosome 3 COVID-19 risk haplotype, and modern substitutions affecting purine biosynthesis and mitosis in neural progenitors. It argues that modern human uniqueness is best viewed as a combinatorial set of derived variants rather than single universally fixed changes and highlights expanding, diverse biobanks and experimental systems as key to future functional insight.</p>
<p> Conclusion:<br />Modern human distinctiveness arises from a combination of lineage-specific substitutions and introgressed alleles whose functional effects vary by locus and population; studying archaic contributions and modern-specific changes via diverse genomic cohorts and functional models will clarify their physiological and medical relevance.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Modern humans outside Africa have Neanderthal DNA comprising about 2% of their genome.<br />- Denisovan ancestry contributes &gt;5% of the genome in some Oceanian populations; overall Denisovan ancestry is around 0.2% in many populations.<br />- Archaic DNA segments are typically ~50 kb in length today, with some segments as small as ~12 kb representing older shared ancestry.<br />- A Neanderthal variant in SCN9A (sodium channel) increases pain sensitivity; around 0.4% of UK population carries the Neanderthal version.<br />- A Neanderthal haplotype on chromosome 3 increases risk of severe COVID-19 (ventilation/dying) but reduces HIV risk via CCR5 downregulation (~25% reduced infection risk).<br />- Denisovan EPAS1 haplotype contributes to high-altitude adaptation in Tibetans (often &gt;80% carry the Denisovan segment).</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Zeberg H et al., Cell - A review of genetic differences among modern humans, Neandertals, and Denisovans, their functional consequences, and how introgression and lineage-specific changes shaped traits from immunity to neurodevelopment. Key terms: Neandertal introgression, Denisovan introgression, modern human evolution, adaptive introgression, archaic DNA.
 Study Highlights:Modern human ancestors diverged from Neandertals and Denisovans about 600,000 years ago and later experienced intermittent gene flow that left archaic DNA fragments in present-day genomes. The review surveys functional impacts of introgressed and modern-human-specific variants on metabolism, immunity, reproduction, sensation, and neurogenesis, citing examples such as SLC16A11, EPAS1, Toll-like receptors, the chromosome 3 COVID-19 risk haplotype, and modern substitutions affecting purine biosynthesis and mitosis in neural progenitors. It argues that modern human uniqueness is best viewed as a combinatorial set of derived variants rather than single universally fixed changes and highlights expanding, diverse biobanks and experimental systems as key to future functional insight.
 Conclusion:Modern human distinctiveness arises from a combination of lineage-specific substitutions and introgressed alleles whose functional effects vary by locus and population; studying archaic contributions and modern-specific changes via diverse genomic cohorts and functional models will clarify their physiological and medical relevance.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Modern humans outside Africa have Neanderthal DNA comprising about 2% of their genome.- Denisovan ancestry contributes >5% of the genome in some Oceanian populations; overall Denisovan ancestry is around 0.2% in many populations.- Archaic DNA segments are typically ~50 kb in length today, with some segments as small as ~12 kb representing older shared ancestry.- A Neanderthal variant in SCN9A (sodium channel) increases pain sensitivity; around 0.4% of UK population carries the Neanderthal version.- A Neanderthal haplotype on chromosome 3 increases risk of severe COVID-19 (ventilation/dying) but reduces HIV risk via CCR5 downregulation (~25% reduced infection risk).- Denisovan EPAS1 haplotype contributes to high-altitude adaptation in Tibetans (often >80% carry the Denisovan segment).
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107596/c1a-p6xp7-mk91dvjdbp08-dp8idd.png"></itunes:image>
                                                                            <itunes:duration>00:20:07</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[14: Who Benefits from Large-Scale Genomic Programmes?]]>
                </title>
                <pubDate>Fri, 25 Apr 2025 10:55:21 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    d474e897-258b-4b63-b70a-bcb2031837ab</guid>
                                    <link>https://basebybase.castos.com/episodes/value-large-scale-genomics-programmes</link>
                                <description>
                                            <![CDATA[<p>Horn R et al., European Journal of Human Genetics - Workshop report assessing the practical benefits and limits of national genomic programmes across societal, economic, clinical, scientific and population levels, and proposing criteria to ensure public benefit, equity and robust evaluation. Key terms: genomic programmes, public trust, economic evaluation, equity, newborn screening.</p>
<p> Study Highlights:<br />An international workshop produced a taxonomy of benefits of large-scale genomic programmes at societal, economic, clinical, scientific and population levels. Participants highlighted gaps in evidence—especially economic evaluations—and the limited predictive value of genomics for many common diseases. Trust, governance, equity and transparent communication emerged as essential conditions for public benefit. The report calls for targeted, evidence-driven rollouts and multidisciplinary evaluation frameworks before population-wide implementation.</p>
<p> Conclusion:<br />Large-scale genomic programmes offer potential benefits across multiple levels but current evidence is incomplete, especially on economic value and population impact. To justify public investment and maintain trust, programmes must avoid overpromising, prioritise rigorous upstream and downstream evaluation, address equity and consent, and proceed with targeted, evidence-based implementation supported by transparent governance.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Public trust is essential for large-scale genomic programmes; distrust reveals governance gaps, especially regarding public-private data partnerships.<br />- Economic value of large-scale sequencing programmes is not yet proven; there is a severe lack of population-level economic evidence, with Denmark cited as a failure to establish an<br />- Polygenic risk scores have limited predictive power for most common diseases; environment and epigenetic factors explain the majority of risk; risk of overdiagnosis or false reassu<br />- Multidisciplinary advisory boards (e.g., molecular tumor boards) and ESMO-style frameworks help interpret genomic data and prevent over-interpretation or inappropriate intervention<br />- Population-level implementation faces equity challenges; data bias toward wealthy, European-descent populations risks widening health disparities; targeted, equity-focused rollout<br />- The Genomics England Generation Study (100,000 newborns; screening for &gt;200 conditions) is a key example, illustrating potential societal benefits but raising consent and feasibili</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Horn R et al., European Journal of Human Genetics - Workshop report assessing the practical benefits and limits of national genomic programmes across societal, economic, clinical, scientific and population levels, and proposing criteria to ensure public benefit, equity and robust evaluation. Key terms: genomic programmes, public trust, economic evaluation, equity, newborn screening.
 Study Highlights:An international workshop produced a taxonomy of benefits of large-scale genomic programmes at societal, economic, clinical, scientific and population levels. Participants highlighted gaps in evidence—especially economic evaluations—and the limited predictive value of genomics for many common diseases. Trust, governance, equity and transparent communication emerged as essential conditions for public benefit. The report calls for targeted, evidence-driven rollouts and multidisciplinary evaluation frameworks before population-wide implementation.
 Conclusion:Large-scale genomic programmes offer potential benefits across multiple levels but current evidence is incomplete, especially on economic value and population impact. To justify public investment and maintain trust, programmes must avoid overpromising, prioritise rigorous upstream and downstream evaluation, address equity and consent, and proceed with targeted, evidence-based implementation supported by transparent governance.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Public trust is essential for large-scale genomic programmes; distrust reveals governance gaps, especially regarding public-private data partnerships.- Economic value of large-scale sequencing programmes is not yet proven; there is a severe lack of population-level economic evidence, with Denmark cited as a failure to establish an- Polygenic risk scores have limited predictive power for most common diseases; environment and epigenetic factors explain the majority of risk; risk of overdiagnosis or false reassu- Multidisciplinary advisory boards (e.g., molecular tumor boards) and ESMO-style frameworks help interpret genomic data and prevent over-interpretation or inappropriate intervention- Population-level implementation faces equity challenges; data bias toward wealthy, European-descent populations risks widening health disparities; targeted, equity-focused rollout- The Genomics England Generation Study (100,000 newborns; screening for >200 conditions) is a key example, illustrating potential societal benefits but raising consent and feasibili
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[14: Who Benefits from Large-Scale Genomic Programmes?]]>
                </itunes:title>
                                    <itunes:episode>14</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Horn R et al., European Journal of Human Genetics - Workshop report assessing the practical benefits and limits of national genomic programmes across societal, economic, clinical, scientific and population levels, and proposing criteria to ensure public benefit, equity and robust evaluation. Key terms: genomic programmes, public trust, economic evaluation, equity, newborn screening.</p>
<p> Study Highlights:<br />An international workshop produced a taxonomy of benefits of large-scale genomic programmes at societal, economic, clinical, scientific and population levels. Participants highlighted gaps in evidence—especially economic evaluations—and the limited predictive value of genomics for many common diseases. Trust, governance, equity and transparent communication emerged as essential conditions for public benefit. The report calls for targeted, evidence-driven rollouts and multidisciplinary evaluation frameworks before population-wide implementation.</p>
<p> Conclusion:<br />Large-scale genomic programmes offer potential benefits across multiple levels but current evidence is incomplete, especially on economic value and population impact. To justify public investment and maintain trust, programmes must avoid overpromising, prioritise rigorous upstream and downstream evaluation, address equity and consent, and proceed with targeted, evidence-based implementation supported by transparent governance.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Public trust is essential for large-scale genomic programmes; distrust reveals governance gaps, especially regarding public-private data partnerships.<br />- Economic value of large-scale sequencing programmes is not yet proven; there is a severe lack of population-level economic evidence, with Denmark cited as a failure to establish an<br />- Polygenic risk scores have limited predictive power for most common diseases; environment and epigenetic factors explain the majority of risk; risk of overdiagnosis or false reassu<br />- Multidisciplinary advisory boards (e.g., molecular tumor boards) and ESMO-style frameworks help interpret genomic data and prevent over-interpretation or inappropriate intervention<br />- Population-level implementation faces equity challenges; data bias toward wealthy, European-descent populations risks widening health disparities; targeted, equity-focused rollout<br />- The Genomics England Generation Study (100,000 newborns; screening for &gt;200 conditions) is a key example, illustrating potential societal benefits but raising consent and feasibili</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Horn R et al., European Journal of Human Genetics - Workshop report assessing the practical benefits and limits of national genomic programmes across societal, economic, clinical, scientific and population levels, and proposing criteria to ensure public benefit, equity and robust evaluation. Key terms: genomic programmes, public trust, economic evaluation, equity, newborn screening.
 Study Highlights:An international workshop produced a taxonomy of benefits of large-scale genomic programmes at societal, economic, clinical, scientific and population levels. Participants highlighted gaps in evidence—especially economic evaluations—and the limited predictive value of genomics for many common diseases. Trust, governance, equity and transparent communication emerged as essential conditions for public benefit. The report calls for targeted, evidence-driven rollouts and multidisciplinary evaluation frameworks before population-wide implementation.
 Conclusion:Large-scale genomic programmes offer potential benefits across multiple levels but current evidence is incomplete, especially on economic value and population impact. To justify public investment and maintain trust, programmes must avoid overpromising, prioritise rigorous upstream and downstream evaluation, address equity and consent, and proceed with targeted, evidence-based implementation supported by transparent governance.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Public trust is essential for large-scale genomic programmes; distrust reveals governance gaps, especially regarding public-private data partnerships.- Economic value of large-scale sequencing programmes is not yet proven; there is a severe lack of population-level economic evidence, with Denmark cited as a failure to establish an- Polygenic risk scores have limited predictive power for most common diseases; environment and epigenetic factors explain the majority of risk; risk of overdiagnosis or false reassu- Multidisciplinary advisory boards (e.g., molecular tumor boards) and ESMO-style frameworks help interpret genomic data and prevent over-interpretation or inappropriate intervention- Population-level implementation faces equity challenges; data bias toward wealthy, European-descent populations risks widening health disparities; targeted, equity-focused rollout- The Genomics England Generation Study (100,000 newborns; screening for >200 conditions) is a key example, illustrating potential societal benefits but raising consent and feasibili
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107597/c1a-p6xp7-ok03o5zqf5jw-4bbazd.png"></itunes:image>
                                                                            <itunes:duration>00:25:44</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[13: Human de novo mutation rates from a four‑generation pedigree]]>
                </title>
                <pubDate>Fri, 25 Apr 2025 10:54:01 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    c1fee6e0-a56b-48dc-bc4d-41e923a591f3</guid>
                                    <link>https://basebybase.castos.com/episodes/human-de-novo-mutation-rates-ceph-1463</link>
                                <description>
                                            <![CDATA[<p>Nature - A telomere‑to‑telomere, multigenerational study that uses five sequencing technologies to assemble and phase near‑complete diploid genomes from a 28‑member family (CEPH 1463) to measure de novo mutation rates across the genome. Key terms: de novo mutation, long-read sequencing, tandem repeats, centromeres, Y chromosome.</p>
<p> Study Highlights:<br />The authors generated phased, near‑T2T assemblies for members of a four‑generation pedigree and traced inheritance to estimate 98–206 de novo mutations per transmission, including single‑nucleotide, indel, tandem‑repeat and structural variants. Short tandem repeats and larger VNTRs, centromeres and Yq12 satellite DNA are far more mutable than euchromatin, with 32 recurrently mutated TR loci and 288 assembled centromeres revealing integer HOR changes. There is a strong paternal bias (≈75–81%) for germline DNMs and a paternal age effect for germline SNVs, while 16% of autosomal SNVs are postzygotic and show no paternal bias. A high‑resolution recombination map (~3.4 kb breakpoint resolution) was produced and no correlation was found between meiotic crossovers and de novo structural variants.</p>
<p> Conclusion:<br />Multiplatform long‑read assemblies across four generations provide a near‑complete pedigree truth set that revises genome‑wide and region‑specific de novo mutation rates, highlights repeat‑driven mutability, and offers a benchmark for future mutation‑rate and assembly studies.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- De novo mutation rate per transmission is 98–206 with average 152, roughly doubling prior estimates.<br />- Repeat-rich regions (centromeres, SDs, Yq12 satellites) have elevated mutation rates; Yq12 satellites are ~30x more mutable than euchromatin.<br />- Paternal bias in germline DNMs is strong (75–81%), and paternal age increases DNMs by ~1.55 per year.<br />- Postzygotic DNMs constitute about 16% of de novo SNVs and show no paternal bias.<br />- Centromeres show de novo SVs and SNVs; reported 18 de novo SVs in centromeres and 16 centromeric SNVs with elevated rate.<br />- Y chromosome DNMs are high due to Yq12 repeats; SNV rate across MSY is 1.99e-7 per bp per generation.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nature - A telomere‑to‑telomere, multigenerational study that uses five sequencing technologies to assemble and phase near‑complete diploid genomes from a 28‑member family (CEPH 1463) to measure de novo mutation rates across the genome. Key terms: de novo mutation, long-read sequencing, tandem repeats, centromeres, Y chromosome.
 Study Highlights:The authors generated phased, near‑T2T assemblies for members of a four‑generation pedigree and traced inheritance to estimate 98–206 de novo mutations per transmission, including single‑nucleotide, indel, tandem‑repeat and structural variants. Short tandem repeats and larger VNTRs, centromeres and Yq12 satellite DNA are far more mutable than euchromatin, with 32 recurrently mutated TR loci and 288 assembled centromeres revealing integer HOR changes. There is a strong paternal bias (≈75–81%) for germline DNMs and a paternal age effect for germline SNVs, while 16% of autosomal SNVs are postzygotic and show no paternal bias. A high‑resolution recombination map (~3.4 kb breakpoint resolution) was produced and no correlation was found between meiotic crossovers and de novo structural variants.
 Conclusion:Multiplatform long‑read assemblies across four generations provide a near‑complete pedigree truth set that revises genome‑wide and region‑specific de novo mutation rates, highlights repeat‑driven mutability, and offers a benchmark for future mutation‑rate and assembly studies.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- De novo mutation rate per transmission is 98–206 with average 152, roughly doubling prior estimates.- Repeat-rich regions (centromeres, SDs, Yq12 satellites) have elevated mutation rates; Yq12 satellites are ~30x more mutable than euchromatin.- Paternal bias in germline DNMs is strong (75–81%), and paternal age increases DNMs by ~1.55 per year.- Postzygotic DNMs constitute about 16% of de novo SNVs and show no paternal bias.- Centromeres show de novo SVs and SNVs; reported 18 de novo SVs in centromeres and 16 centromeric SNVs with elevated rate.- Y chromosome DNMs are high due to Yq12 repeats; SNV rate across MSY is 1.99e-7 per bp per generation.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[13: Human de novo mutation rates from a four‑generation pedigree]]>
                </itunes:title>
                                    <itunes:episode>13</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nature - A telomere‑to‑telomere, multigenerational study that uses five sequencing technologies to assemble and phase near‑complete diploid genomes from a 28‑member family (CEPH 1463) to measure de novo mutation rates across the genome. Key terms: de novo mutation, long-read sequencing, tandem repeats, centromeres, Y chromosome.</p>
<p> Study Highlights:<br />The authors generated phased, near‑T2T assemblies for members of a four‑generation pedigree and traced inheritance to estimate 98–206 de novo mutations per transmission, including single‑nucleotide, indel, tandem‑repeat and structural variants. Short tandem repeats and larger VNTRs, centromeres and Yq12 satellite DNA are far more mutable than euchromatin, with 32 recurrently mutated TR loci and 288 assembled centromeres revealing integer HOR changes. There is a strong paternal bias (≈75–81%) for germline DNMs and a paternal age effect for germline SNVs, while 16% of autosomal SNVs are postzygotic and show no paternal bias. A high‑resolution recombination map (~3.4 kb breakpoint resolution) was produced and no correlation was found between meiotic crossovers and de novo structural variants.</p>
<p> Conclusion:<br />Multiplatform long‑read assemblies across four generations provide a near‑complete pedigree truth set that revises genome‑wide and region‑specific de novo mutation rates, highlights repeat‑driven mutability, and offers a benchmark for future mutation‑rate and assembly studies.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- De novo mutation rate per transmission is 98–206 with average 152, roughly doubling prior estimates.<br />- Repeat-rich regions (centromeres, SDs, Yq12 satellites) have elevated mutation rates; Yq12 satellites are ~30x more mutable than euchromatin.<br />- Paternal bias in germline DNMs is strong (75–81%), and paternal age increases DNMs by ~1.55 per year.<br />- Postzygotic DNMs constitute about 16% of de novo SNVs and show no paternal bias.<br />- Centromeres show de novo SVs and SNVs; reported 18 de novo SVs in centromeres and 16 centromeric SNVs with elevated rate.<br />- Y chromosome DNMs are high due to Yq12 repeats; SNV rate across MSY is 1.99e-7 per bp per generation.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Nature - A telomere‑to‑telomere, multigenerational study that uses five sequencing technologies to assemble and phase near‑complete diploid genomes from a 28‑member family (CEPH 1463) to measure de novo mutation rates across the genome. Key terms: de novo mutation, long-read sequencing, tandem repeats, centromeres, Y chromosome.
 Study Highlights:The authors generated phased, near‑T2T assemblies for members of a four‑generation pedigree and traced inheritance to estimate 98–206 de novo mutations per transmission, including single‑nucleotide, indel, tandem‑repeat and structural variants. Short tandem repeats and larger VNTRs, centromeres and Yq12 satellite DNA are far more mutable than euchromatin, with 32 recurrently mutated TR loci and 288 assembled centromeres revealing integer HOR changes. There is a strong paternal bias (≈75–81%) for germline DNMs and a paternal age effect for germline SNVs, while 16% of autosomal SNVs are postzygotic and show no paternal bias. A high‑resolution recombination map (~3.4 kb breakpoint resolution) was produced and no correlation was found between meiotic crossovers and de novo structural variants.
 Conclusion:Multiplatform long‑read assemblies across four generations provide a near‑complete pedigree truth set that revises genome‑wide and region‑specific de novo mutation rates, highlights repeat‑driven mutability, and offers a benchmark for future mutation‑rate and assembly studies.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-25.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- De novo mutation rate per transmission is 98–206 with average 152, roughly doubling prior estimates.- Repeat-rich regions (centromeres, SDs, Yq12 satellites) have elevated mutation rates; Yq12 satellites are ~30x more mutable than euchromatin.- Paternal bias in germline DNMs is strong (75–81%), and paternal age increases DNMs by ~1.55 per year.- Postzygotic DNMs constitute about 16% of de novo SNVs and show no paternal bias.- Centromeres show de novo SVs and SNVs; reported 18 de novo SVs in centromeres and 16 centromeric SNVs with elevated rate.- Y chromosome DNMs are high due to Yq12 repeats; SNV rate across MSY is 1.99e-7 per bp per generation.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107598/c1a-p6xp7-z319vgkwa3m-snlxu9.png"></itunes:image>
                                                                            <itunes:duration>00:19:34</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[12: MUTYH's allosteric [4Fe-4S] network]]>
                </title>
                <pubDate>Sat, 19 Apr 2025 15:06:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    7180a8c2-faf8-48e5-8009-246cc38d6e4c</guid>
                                    <link>https://basebybase.castos.com/episodes/mutyh-4fe4s-allosteric-network</link>
                                <description>
                                            <![CDATA[<p>Trasviña-Arenas CH et al., Nature Communications - This episode explores a 2025 study that reports the first human MUTYH structure bound to a transition state analog and functional profiling of cancer-associated variants near its [4Fe-4S] cluster. The authors map an evolutionarily conserved hydrogen-bond network linking the metal cluster to the catalytic Asp236 and show how specific variants disrupt catalysis. Two variants (R241Q, N238S) retain metal binding and DNA affinity yet lose glycosylase activity, revealing an allosteric regulatory role for the cofactor. Molecular dynamics and a bacterial homolog structure support a model in which the cluster positions and modulates the catalytic residue to enable adenine excision. Key terms: MUTYH, 4Fe-4S cluster, base excision repair, allosteric network, cancer-associated variants.</p>
<p> Study Highlights:<br />Researchers solved a 1.9 Å human MUTYH–transition state analog crystal structure that uncovers a hydrogen-bond bridge from the [4Fe-4S] cluster to the active site. Functional profiling of 12 cancer-associated variants near the cluster shows most lose cofactors and activity, while R241Q and N238S uniquely retain metals and DNA binding but are inactive. A corresponding bacterial R149Q structure and molecular dynamics reveal alternate cluster conformations and altered dynamics that disrupt communication to catalytic Asp236. Together the data support an allosteric network that positions and affects the protonation state of Asp236 to enable base excision.</p>
<p> Conclusion:<br />The [4Fe-4S] cluster in MUTYH is an active allosteric element connected to the catalytic pocket via a conserved Cys290–Arg241–Asn238–Asp236 hydrogen-bond network; disruption of this bridge by cancer-associated variants can disable DNA repair even when metal binding and DNA affinity are retained, highlighting a mechanism for MUTYH-associated mutagenesis and a potential regulatory or therapeutic target.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- There is a 20 Å hydrogen-bond network bridging the [4Fe-4S] cluster to the active site, connecting Cys290–Arg241–Asn238–Asp236 to position and modulate Asp236 for base excision.<br />- Crystal structure of human MUTYH with DNA bound (MUTYH-TSAC) demonstrates the bridge between the [4Fe-4S] cluster and active site, supporting allosteric cross-talk.<br />- R241Q and N238S cancer-associated variants retain metal cofactor and DNA binding yet are catalytically inactive, illustrating allosteric disruption without global unfolding.<br />- Most cancer-associated variants near the [4Fe-4S] cluster disrupt metal cofactors and cause loss of activity; exceptions (R241Q/N238S) retain metal/DNA binding but are inactive.<br />- The allosteric network is evolutionarily conserved across MUTYH and related HhH BER glycosylases (e.g., MIG, EndoIII).<br />- Under oxidative stress, oxidation state changes of the [4Fe-4S] cluster act as an environmental sensor that down-regulates MUTYH to prevent catastrophic genome fragmentation.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Trasviña-Arenas CH et al., Nature Communications - This episode explores a 2025 study that reports the first human MUTYH structure bound to a transition state analog and functional profiling of cancer-associated variants near its [4Fe-4S] cluster. The authors map an evolutionarily conserved hydrogen-bond network linking the metal cluster to the catalytic Asp236 and show how specific variants disrupt catalysis. Two variants (R241Q, N238S) retain metal binding and DNA affinity yet lose glycosylase activity, revealing an allosteric regulatory role for the cofactor. Molecular dynamics and a bacterial homolog structure support a model in which the cluster positions and modulates the catalytic residue to enable adenine excision. Key terms: MUTYH, 4Fe-4S cluster, base excision repair, allosteric network, cancer-associated variants.
 Study Highlights:Researchers solved a 1.9 Å human MUTYH–transition state analog crystal structure that uncovers a hydrogen-bond bridge from the [4Fe-4S] cluster to the active site. Functional profiling of 12 cancer-associated variants near the cluster shows most lose cofactors and activity, while R241Q and N238S uniquely retain metals and DNA binding but are inactive. A corresponding bacterial R149Q structure and molecular dynamics reveal alternate cluster conformations and altered dynamics that disrupt communication to catalytic Asp236. Together the data support an allosteric network that positions and affects the protonation state of Asp236 to enable base excision.
 Conclusion:The [4Fe-4S] cluster in MUTYH is an active allosteric element connected to the catalytic pocket via a conserved Cys290–Arg241–Asn238–Asp236 hydrogen-bond network; disruption of this bridge by cancer-associated variants can disable DNA repair even when metal binding and DNA affinity are retained, highlighting a mechanism for MUTYH-associated mutagenesis and a potential regulatory or therapeutic target.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- There is a 20 Å hydrogen-bond network bridging the [4Fe-4S] cluster to the active site, connecting Cys290–Arg241–Asn238–Asp236 to position and modulate Asp236 for base excision.- Crystal structure of human MUTYH with DNA bound (MUTYH-TSAC) demonstrates the bridge between the [4Fe-4S] cluster and active site, supporting allosteric cross-talk.- R241Q and N238S cancer-associated variants retain metal cofactor and DNA binding yet are catalytically inactive, illustrating allosteric disruption without global unfolding.- Most cancer-associated variants near the [4Fe-4S] cluster disrupt metal cofactors and cause loss of activity; exceptions (R241Q/N238S) retain metal/DNA binding but are inactive.- The allosteric network is evolutionarily conserved across MUTYH and related HhH BER glycosylases (e.g., MIG, EndoIII).- Under oxidative stress, oxidation state changes of the [4Fe-4S] cluster act as an environmental sensor that down-regulates MUTYH to prevent catastrophic genome fragmentation.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[12: MUTYH's allosteric [4Fe-4S] network]]>
                </itunes:title>
                                    <itunes:episode>12</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Trasviña-Arenas CH et al., Nature Communications - This episode explores a 2025 study that reports the first human MUTYH structure bound to a transition state analog and functional profiling of cancer-associated variants near its [4Fe-4S] cluster. The authors map an evolutionarily conserved hydrogen-bond network linking the metal cluster to the catalytic Asp236 and show how specific variants disrupt catalysis. Two variants (R241Q, N238S) retain metal binding and DNA affinity yet lose glycosylase activity, revealing an allosteric regulatory role for the cofactor. Molecular dynamics and a bacterial homolog structure support a model in which the cluster positions and modulates the catalytic residue to enable adenine excision. Key terms: MUTYH, 4Fe-4S cluster, base excision repair, allosteric network, cancer-associated variants.</p>
<p> Study Highlights:<br />Researchers solved a 1.9 Å human MUTYH–transition state analog crystal structure that uncovers a hydrogen-bond bridge from the [4Fe-4S] cluster to the active site. Functional profiling of 12 cancer-associated variants near the cluster shows most lose cofactors and activity, while R241Q and N238S uniquely retain metals and DNA binding but are inactive. A corresponding bacterial R149Q structure and molecular dynamics reveal alternate cluster conformations and altered dynamics that disrupt communication to catalytic Asp236. Together the data support an allosteric network that positions and affects the protonation state of Asp236 to enable base excision.</p>
<p> Conclusion:<br />The [4Fe-4S] cluster in MUTYH is an active allosteric element connected to the catalytic pocket via a conserved Cys290–Arg241–Asn238–Asp236 hydrogen-bond network; disruption of this bridge by cancer-associated variants can disable DNA repair even when metal binding and DNA affinity are retained, highlighting a mechanism for MUTYH-associated mutagenesis and a potential regulatory or therapeutic target.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- There is a 20 Å hydrogen-bond network bridging the [4Fe-4S] cluster to the active site, connecting Cys290–Arg241–Asn238–Asp236 to position and modulate Asp236 for base excision.<br />- Crystal structure of human MUTYH with DNA bound (MUTYH-TSAC) demonstrates the bridge between the [4Fe-4S] cluster and active site, supporting allosteric cross-talk.<br />- R241Q and N238S cancer-associated variants retain metal cofactor and DNA binding yet are catalytically inactive, illustrating allosteric disruption without global unfolding.<br />- Most cancer-associated variants near the [4Fe-4S] cluster disrupt metal cofactors and cause loss of activity; exceptions (R241Q/N238S) retain metal/DNA binding but are inactive.<br />- The allosteric network is evolutionarily conserved across MUTYH and related HhH BER glycosylases (e.g., MIG, EndoIII).<br />- Under oxidative stress, oxidation state changes of the [4Fe-4S] cluster act as an environmental sensor that down-regulates MUTYH to prevent catastrophic genome fragmentation.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107599/c1e-n6z82cd8vmgco0onz-47o2m5r1sj9k-typnzd.mp3?awCollectionId=66206&amp;awEpisodeId=7180a8c2-faf8-48e5-8009-246cc38d6e4c&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fmutyh-4fe4s-allosteric-network&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=c11cdeda3595f5ad0aa934e3ee755cd6eb22f6df8c625188318251c9854d74d3" length="30508461"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Trasviña-Arenas CH et al., Nature Communications - This episode explores a 2025 study that reports the first human MUTYH structure bound to a transition state analog and functional profiling of cancer-associated variants near its [4Fe-4S] cluster. The authors map an evolutionarily conserved hydrogen-bond network linking the metal cluster to the catalytic Asp236 and show how specific variants disrupt catalysis. Two variants (R241Q, N238S) retain metal binding and DNA affinity yet lose glycosylase activity, revealing an allosteric regulatory role for the cofactor. Molecular dynamics and a bacterial homolog structure support a model in which the cluster positions and modulates the catalytic residue to enable adenine excision. Key terms: MUTYH, 4Fe-4S cluster, base excision repair, allosteric network, cancer-associated variants.
 Study Highlights:Researchers solved a 1.9 Å human MUTYH–transition state analog crystal structure that uncovers a hydrogen-bond bridge from the [4Fe-4S] cluster to the active site. Functional profiling of 12 cancer-associated variants near the cluster shows most lose cofactors and activity, while R241Q and N238S uniquely retain metals and DNA binding but are inactive. A corresponding bacterial R149Q structure and molecular dynamics reveal alternate cluster conformations and altered dynamics that disrupt communication to catalytic Asp236. Together the data support an allosteric network that positions and affects the protonation state of Asp236 to enable base excision.
 Conclusion:The [4Fe-4S] cluster in MUTYH is an active allosteric element connected to the catalytic pocket via a conserved Cys290–Arg241–Asn238–Asp236 hydrogen-bond network; disruption of this bridge by cancer-associated variants can disable DNA repair even when metal binding and DNA affinity are retained, highlighting a mechanism for MUTYH-associated mutagenesis and a potential regulatory or therapeutic target.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- There is a 20 Å hydrogen-bond network bridging the [4Fe-4S] cluster to the active site, connecting Cys290–Arg241–Asn238–Asp236 to position and modulate Asp236 for base excision.- Crystal structure of human MUTYH with DNA bound (MUTYH-TSAC) demonstrates the bridge between the [4Fe-4S] cluster and active site, supporting allosteric cross-talk.- R241Q and N238S cancer-associated variants retain metal cofactor and DNA binding yet are catalytically inactive, illustrating allosteric disruption without global unfolding.- Most cancer-associated variants near the [4Fe-4S] cluster disrupt metal cofactors and cause loss of activity; exceptions (R241Q/N238S) retain metal/DNA binding but are inactive.- The allosteric network is evolutionarily conserved across MUTYH and related HhH BER glycosylases (e.g., MIG, EndoIII).- Under oxidative stress, oxidation state changes of the [4Fe-4S] cluster act as an environmental sensor that down-regulates MUTYH to prevent catastrophic genome fragmentation.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107599/c1a-p6xp7-47415nxxbjo4-q9r19u.png"></itunes:image>
                                                                            <itunes:duration>00:16:28</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[11: Mitochondrial Weakness: Targeting Dnmt3a-Mutant Clonal Hematopoiesis]]>
                </title>
                <pubDate>Sat, 19 Apr 2025 09:46:18 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    ad18258b-83cc-4521-a3e1-4d3eae61f3ad</guid>
                                    <link>https://basebybase.castos.com/episodes/elevated-mitochondrial-membrane-potential-therapeutic-vulnerability-dnmt3a-ch</link>
                                <description>
                                            <![CDATA[<p>Nature Communications (2025) 16:3306 et al., Nature Communications - This study shows that Dnmt3a-mutant hematopoietic stem and progenitor cells (HSPCs) sustain elevated mitochondrial membrane potential and oxidative phosphorylation, creating a selective vulnerability that can be targeted with long-chain alkyl‑TPP molecules such as MitoQ to ablate mutant clonal advantage in mouse and human cells. Key terms: Dnmt3a, clonal hematopoiesis, mitochondrial membrane potential, MitoQ, oxidative phosphorylation.</p>
<p> Study Highlights:<br />Using a Dnmt3aR878H/+ mouse model and DNMT3A knockdown human HSPCs, the authors show mutant HSPCs have DNA hypomethylation-driven upregulation of oxidative phosphorylation genes, higher mitochondrial membrane potential (Δψm), and increased respiration. Elevated Δψm leads to greater accumulation of long-chain alkyl‑TPP molecules (MitoQ, d‑TPP) in mutant mitochondria. MitoQ and d‑TPP selectively reduce mitochondrial respiration, induce mitochondrial permeability transition and apoptosis in mutant HSPCs, and reduce their competitive advantage ex vivo and in vivo. Key phenotypes are conserved between mouse and human primary HSPCs, supporting translational relevance.</p>
<p> Conclusion:<br />Elevated mitochondrial membrane potential is a conserved, targetable vulnerability of DNMT3A-mutant HSPCs; long-chain alkyl‑TPP compounds selectively accumulate in mutant mitochondria to reduce respiration, induce mitochondrial apoptosis, and ablate clonal advantage.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Dnmt3a-mutant HSPCs have elevated mitochondrial membrane potential (Δψm) and increased oxidative phosphorylation, linked to clonal hematopoiesis fitness.<br />- DNA hypomethylation due to DNMT3A mutation upregulates oxidative phosphorylation genes and promotes assembly of respiratory chain supercomplexes via Cox7a2l.<br />- Long-chain alkyl-TPP molecules (MitoQ, d-TPP) selectively accumulate in mutant mitochondria and reduce respiration, triggering apoptosis and removing the mutant advantage.<br />- In vivo, MitoQ ablates the competitive advantage of Dnmt3a-mutant HSPCs in middle-aged mice; ex vivo/human data show similar selective destruction.<br />- The mutant-selective vulnerability via elevated Δψm is conserved across mouse and human DNMT3A-mutant clonal hematopoiesis models.<br />- CH is a predisease state, and safety considerations are critical; MitoQ and related TPP compounds have prior human exposure with tolerable safety profiles, but dosing for CH preven</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Nature Communications (2025) 16:3306 et al., Nature Communications - This study shows that Dnmt3a-mutant hematopoietic stem and progenitor cells (HSPCs) sustain elevated mitochondrial membrane potential and oxidative phosphorylation, creating a selective vulnerability that can be targeted with long-chain alkyl‑TPP molecules such as MitoQ to ablate mutant clonal advantage in mouse and human cells. Key terms: Dnmt3a, clonal hematopoiesis, mitochondrial membrane potential, MitoQ, oxidative phosphorylation.
 Study Highlights:Using a Dnmt3aR878H/+ mouse model and DNMT3A knockdown human HSPCs, the authors show mutant HSPCs have DNA hypomethylation-driven upregulation of oxidative phosphorylation genes, higher mitochondrial membrane potential (Δψm), and increased respiration. Elevated Δψm leads to greater accumulation of long-chain alkyl‑TPP molecules (MitoQ, d‑TPP) in mutant mitochondria. MitoQ and d‑TPP selectively reduce mitochondrial respiration, induce mitochondrial permeability transition and apoptosis in mutant HSPCs, and reduce their competitive advantage ex vivo and in vivo. Key phenotypes are conserved between mouse and human primary HSPCs, supporting translational relevance.
 Conclusion:Elevated mitochondrial membrane potential is a conserved, targetable vulnerability of DNMT3A-mutant HSPCs; long-chain alkyl‑TPP compounds selectively accumulate in mutant mitochondria to reduce respiration, induce mitochondrial apoptosis, and ablate clonal advantage.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Dnmt3a-mutant HSPCs have elevated mitochondrial membrane potential (Δψm) and increased oxidative phosphorylation, linked to clonal hematopoiesis fitness.- DNA hypomethylation due to DNMT3A mutation upregulates oxidative phosphorylation genes and promotes assembly of respiratory chain supercomplexes via Cox7a2l.- Long-chain alkyl-TPP molecules (MitoQ, d-TPP) selectively accumulate in mutant mitochondria and reduce respiration, triggering apoptosis and removing the mutant advantage.- In vivo, MitoQ ablates the competitive advantage of Dnmt3a-mutant HSPCs in middle-aged mice; ex vivo/human data show similar selective destruction.- The mutant-selective vulnerability via elevated Δψm is conserved across mouse and human DNMT3A-mutant clonal hematopoiesis models.- CH is a predisease state, and safety considerations are critical; MitoQ and related TPP compounds have prior human exposure with tolerable safety profiles, but dosing for CH preven
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[11: Mitochondrial Weakness: Targeting Dnmt3a-Mutant Clonal Hematopoiesis]]>
                </itunes:title>
                                    <itunes:episode>11</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Nature Communications (2025) 16:3306 et al., Nature Communications - This study shows that Dnmt3a-mutant hematopoietic stem and progenitor cells (HSPCs) sustain elevated mitochondrial membrane potential and oxidative phosphorylation, creating a selective vulnerability that can be targeted with long-chain alkyl‑TPP molecules such as MitoQ to ablate mutant clonal advantage in mouse and human cells. Key terms: Dnmt3a, clonal hematopoiesis, mitochondrial membrane potential, MitoQ, oxidative phosphorylation.</p>
<p> Study Highlights:<br />Using a Dnmt3aR878H/+ mouse model and DNMT3A knockdown human HSPCs, the authors show mutant HSPCs have DNA hypomethylation-driven upregulation of oxidative phosphorylation genes, higher mitochondrial membrane potential (Δψm), and increased respiration. Elevated Δψm leads to greater accumulation of long-chain alkyl‑TPP molecules (MitoQ, d‑TPP) in mutant mitochondria. MitoQ and d‑TPP selectively reduce mitochondrial respiration, induce mitochondrial permeability transition and apoptosis in mutant HSPCs, and reduce their competitive advantage ex vivo and in vivo. Key phenotypes are conserved between mouse and human primary HSPCs, supporting translational relevance.</p>
<p> Conclusion:<br />Elevated mitochondrial membrane potential is a conserved, targetable vulnerability of DNMT3A-mutant HSPCs; long-chain alkyl‑TPP compounds selectively accumulate in mutant mitochondria to reduce respiration, induce mitochondrial apoptosis, and ablate clonal advantage.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-19.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Dnmt3a-mutant HSPCs have elevated mitochondrial membrane potential (Δψm) and increased oxidative phosphorylation, linked to clonal hematopoiesis fitness.<br />- DNA hypomethylation due to DNMT3A mutation upregulates oxidative phosphorylation genes and promotes assembly of respiratory chain supercomplexes via Cox7a2l.<br />- Long-chain alkyl-TPP molecules (MitoQ, d-TPP) selectively accumulate in mutant mitochondria and reduce respiration, triggering apoptosis and removing the mutant advantage.<br />- In vivo, MitoQ ablates the competitive advantage of Dnmt3a-mutant HSPCs in middle-aged mice; ex vivo/human data show similar selective destruction.<br />- The mutant-selective vulnerability via elevated Δψm is conserved across mouse and human DNMT3A-mutant clonal hematopoiesis models.<br />- CH is a predisease state, and safety considerations are critical; MitoQ and related TPP compounds have prior human exposure with tolerable safety profiles, but dosing for CH preven</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Nature Communications (2025) 16:3306 et al., Nature Communications - This study shows that Dnmt3a-mutant hematopoietic stem and progenitor cells (HSPCs) sustain elevated mitochondrial membrane potential and oxidative phosphorylation, creating a selective vulnerability that can be targeted with long-chain alkyl‑TPP molecules such as MitoQ to ablate mutant clonal advantage in mouse and human cells. Key terms: Dnmt3a, clonal hematopoiesis, mitochondrial membrane potential, MitoQ, oxidative phosphorylation.
 Study Highlights:Using a Dnmt3aR878H/+ mouse model and DNMT3A knockdown human HSPCs, the authors show mutant HSPCs have DNA hypomethylation-driven upregulation of oxidative phosphorylation genes, higher mitochondrial membrane potential (Δψm), and increased respiration. Elevated Δψm leads to greater accumulation of long-chain alkyl‑TPP molecules (MitoQ, d‑TPP) in mutant mitochondria. MitoQ and d‑TPP selectively reduce mitochondrial respiration, induce mitochondrial permeability transition and apoptosis in mutant HSPCs, and reduce their competitive advantage ex vivo and in vivo. Key phenotypes are conserved between mouse and human primary HSPCs, supporting translational relevance.
 Conclusion:Elevated mitochondrial membrane potential is a conserved, targetable vulnerability of DNMT3A-mutant HSPCs; long-chain alkyl‑TPP compounds selectively accumulate in mutant mitochondria to reduce respiration, induce mitochondrial apoptosis, and ablate clonal advantage.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-19.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Dnmt3a-mutant HSPCs have elevated mitochondrial membrane potential (Δψm) and increased oxidative phosphorylation, linked to clonal hematopoiesis fitness.- DNA hypomethylation due to DNMT3A mutation upregulates oxidative phosphorylation genes and promotes assembly of respiratory chain supercomplexes via Cox7a2l.- Long-chain alkyl-TPP molecules (MitoQ, d-TPP) selectively accumulate in mutant mitochondria and reduce respiration, triggering apoptosis and removing the mutant advantage.- In vivo, MitoQ ablates the competitive advantage of Dnmt3a-mutant HSPCs in middle-aged mice; ex vivo/human data show similar selective destruction.- The mutant-selective vulnerability via elevated Δψm is conserved across mouse and human DNMT3A-mutant clonal hematopoiesis models.- CH is a predisease state, and safety considerations are critical; MitoQ and related TPP compounds have prior human exposure with tolerable safety profiles, but dosing for CH preven
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107600/c1a-p6xp7-7z8kd13qigwr-s9vlge.png"></itunes:image>
                                                                            <itunes:duration>00:19:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[10: Assessing DNA variants for antisense oligonucleotide therapy]]>
                </title>
                <pubDate>Fri, 18 Apr 2025 20:52:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    acf96424-fa40-4f0f-baa3-4293fd281d19</guid>
                                    <link>https://basebybase.castos.com/episodes/targeting-the-genome-guidelines-for-antisense-oligonucleotide-therapy-eligibility</link>
                                <description>
                                            <![CDATA[<p>Cheerie D et al., The American Journal of Human Genetics - This episode summarizes the N1C VARIANT consensus guidelines (version 1.0) that define a framework to evaluate pathogenic DNA variants for eligibility for antisense oligonucleotide (ASO) approaches, and describes the supporting tools, videos, and piloting process developed by the N¼1 Collaborative. Key terms: antisense oligonucleotides, variant eligibility, N1C VARIANT, splice correction, exon skipping.</p>
<p> Study Highlights:<br />An international working group developed the N1C VARIANT guidelines to assess variant amenability to ASO strategies including splice correction, exon skipping, transcript knockdown, and upregulation of the wild-type allele. The guidelines use a five-tier classification scheme: eligible, likely eligible, unlikely eligible, not eligible, and unable to assess. Development included iterative piloting with multidisciplinary volunteer assessors, training videos, and an interactive eligibility calculator. The guidelines and resources are intended for clinicians, laboratories, and researchers prioritizing candidates for individualized ASO development.</p>
<p> Conclusion:<br />The N1C VARIANT guidelines provide a practical, consensus-based framework, training materials, and an eligibility calculator to systematically assess pathogenic variants for ASO therapies, with planned yearly updates to reflect advances in the field.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The N1C VARIANT guidelines provide the first international consensus framework to evaluate which genetic variants are amenable to antisense oligonucleotide (ASO) therapies, using a<br />- The N1C variant eligibility calculator is an interactive HTML/JS tool with forced pathway logic that prevents moving forward without specific data entry.<br />- The five-tier definitions distinguish between variants with functional evidence (eligible), strong molecular criteria without functional data (likely eligible), and cases where the<br />- The guideline process is designed to be updated yearly and to include evolving ASO technologies (e.g., allele-selective gapmer approaches).<br />- ASOs have multiple mechanisms of action, including transcript knockdown, exon skipping, splice correction, and upregulation of the wild-type allele; eligibility depends on variant<br />- A variant classified as eligible does not guarantee patient eligibility; disease stage and reversibility of damage must be considered</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Cheerie D et al., The American Journal of Human Genetics - This episode summarizes the N1C VARIANT consensus guidelines (version 1.0) that define a framework to evaluate pathogenic DNA variants for eligibility for antisense oligonucleotide (ASO) approaches, and describes the supporting tools, videos, and piloting process developed by the N¼1 Collaborative. Key terms: antisense oligonucleotides, variant eligibility, N1C VARIANT, splice correction, exon skipping.
 Study Highlights:An international working group developed the N1C VARIANT guidelines to assess variant amenability to ASO strategies including splice correction, exon skipping, transcript knockdown, and upregulation of the wild-type allele. The guidelines use a five-tier classification scheme: eligible, likely eligible, unlikely eligible, not eligible, and unable to assess. Development included iterative piloting with multidisciplinary volunteer assessors, training videos, and an interactive eligibility calculator. The guidelines and resources are intended for clinicians, laboratories, and researchers prioritizing candidates for individualized ASO development.
 Conclusion:The N1C VARIANT guidelines provide a practical, consensus-based framework, training materials, and an eligibility calculator to systematically assess pathogenic variants for ASO therapies, with planned yearly updates to reflect advances in the field.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The N1C VARIANT guidelines provide the first international consensus framework to evaluate which genetic variants are amenable to antisense oligonucleotide (ASO) therapies, using a- The N1C variant eligibility calculator is an interactive HTML/JS tool with forced pathway logic that prevents moving forward without specific data entry.- The five-tier definitions distinguish between variants with functional evidence (eligible), strong molecular criteria without functional data (likely eligible), and cases where the- The guideline process is designed to be updated yearly and to include evolving ASO technologies (e.g., allele-selective gapmer approaches).- ASOs have multiple mechanisms of action, including transcript knockdown, exon skipping, splice correction, and upregulation of the wild-type allele; eligibility depends on variant- A variant classified as eligible does not guarantee patient eligibility; disease stage and reversibility of damage must be considered
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[10: Assessing DNA variants for antisense oligonucleotide therapy]]>
                </itunes:title>
                                    <itunes:episode>10</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Cheerie D et al., The American Journal of Human Genetics - This episode summarizes the N1C VARIANT consensus guidelines (version 1.0) that define a framework to evaluate pathogenic DNA variants for eligibility for antisense oligonucleotide (ASO) approaches, and describes the supporting tools, videos, and piloting process developed by the N¼1 Collaborative. Key terms: antisense oligonucleotides, variant eligibility, N1C VARIANT, splice correction, exon skipping.</p>
<p> Study Highlights:<br />An international working group developed the N1C VARIANT guidelines to assess variant amenability to ASO strategies including splice correction, exon skipping, transcript knockdown, and upregulation of the wild-type allele. The guidelines use a five-tier classification scheme: eligible, likely eligible, unlikely eligible, not eligible, and unable to assess. Development included iterative piloting with multidisciplinary volunteer assessors, training videos, and an interactive eligibility calculator. The guidelines and resources are intended for clinicians, laboratories, and researchers prioritizing candidates for individualized ASO development.</p>
<p> Conclusion:<br />The N1C VARIANT guidelines provide a practical, consensus-based framework, training materials, and an eligibility calculator to systematically assess pathogenic variants for ASO therapies, with planned yearly updates to reflect advances in the field.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The N1C VARIANT guidelines provide the first international consensus framework to evaluate which genetic variants are amenable to antisense oligonucleotide (ASO) therapies, using a<br />- The N1C variant eligibility calculator is an interactive HTML/JS tool with forced pathway logic that prevents moving forward without specific data entry.<br />- The five-tier definitions distinguish between variants with functional evidence (eligible), strong molecular criteria without functional data (likely eligible), and cases where the<br />- The guideline process is designed to be updated yearly and to include evolving ASO technologies (e.g., allele-selective gapmer approaches).<br />- ASOs have multiple mechanisms of action, including transcript knockdown, exon skipping, splice correction, and upregulation of the wild-type allele; eligibility depends on variant<br />- A variant classified as eligible does not guarantee patient eligibility; disease stage and reversibility of damage must be considered</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Cheerie D et al., The American Journal of Human Genetics - This episode summarizes the N1C VARIANT consensus guidelines (version 1.0) that define a framework to evaluate pathogenic DNA variants for eligibility for antisense oligonucleotide (ASO) approaches, and describes the supporting tools, videos, and piloting process developed by the N¼1 Collaborative. Key terms: antisense oligonucleotides, variant eligibility, N1C VARIANT, splice correction, exon skipping.
 Study Highlights:An international working group developed the N1C VARIANT guidelines to assess variant amenability to ASO strategies including splice correction, exon skipping, transcript knockdown, and upregulation of the wild-type allele. The guidelines use a five-tier classification scheme: eligible, likely eligible, unlikely eligible, not eligible, and unable to assess. Development included iterative piloting with multidisciplinary volunteer assessors, training videos, and an interactive eligibility calculator. The guidelines and resources are intended for clinicians, laboratories, and researchers prioritizing candidates for individualized ASO development.
 Conclusion:The N1C VARIANT guidelines provide a practical, consensus-based framework, training materials, and an eligibility calculator to systematically assess pathogenic variants for ASO therapies, with planned yearly updates to reflect advances in the field.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The N1C VARIANT guidelines provide the first international consensus framework to evaluate which genetic variants are amenable to antisense oligonucleotide (ASO) therapies, using a- The N1C variant eligibility calculator is an interactive HTML/JS tool with forced pathway logic that prevents moving forward without specific data entry.- The five-tier definitions distinguish between variants with functional evidence (eligible), strong molecular criteria without functional data (likely eligible), and cases where the- The guideline process is designed to be updated yearly and to include evolving ASO technologies (e.g., allele-selective gapmer approaches).- ASOs have multiple mechanisms of action, including transcript knockdown, exon skipping, splice correction, and upregulation of the wild-type allele; eligibility depends on variant- A variant classified as eligible does not guarantee patient eligibility; disease stage and reversibility of damage must be considered
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107602/c1a-p6xp7-gpjk8n38h10-eijih1.png"></itunes:image>
                                                                            <itunes:duration>00:19:38</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[9: MrDAG and the causal architecture of mental health]]>
                </title>
                <pubDate>Fri, 18 Apr 2025 15:50:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    797f1d03-1e19-446f-ab63-ec3df6c5afa3</guid>
                                    <link>https://basebybase.castos.com/episodes/unraveling-complexity-a-bayesian-graphical-model-for-joint-mendelian-randomization</link>
                                <description>
                                            <![CDATA[<p>Zuber V et al., The American Journal of Human Genetics - Zuber et al. introduce MrDAG, a Bayesian causal graphical model that combines Mendelian randomization, structure learning, and interventional calculus to estimate causal effects among multiple correlated exposures and outcomes using summary-level GWAS data. The method reveals dependency structures and highlights education and smoking as key intervention points for mental health. Key terms: Mendelian randomization, Bayesian networks, causal inference, mental health, genetics.</p>
<p> Study Highlights:<br />MrDAG learns unconfounded dependency relations within exposures and outcomes by using genetically predicted trait components and explores essential graphs under the constraint that exposures causally precede outcomes. The model integrates structure learning with MR instrumental-variable logic and estimates causal effects via interventional calculus, averaging over graph uncertainty through Bayesian model averaging. In simulations MrDAG outperformed one-outcome-at-a-time and other multivariate MR and graphical approaches, showing fewer false positives and lower bias in causal effect estimates. Applied to lifestyle exposures and mental health phenotypes, MrDAG identified education and smoking as primary actionable nodes and uncovered mediated paths linking smoking to schizophrenia liability and cognition.</p>
<p> Conclusion:<br />MrDAG provides a scalable Bayesian framework to map complex causal pathways among multiple exposures and outcomes from summary genetic data, improving direct causal effect estimation and prioritizing interventions such as education and smoking reduction for mental health.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MrDAG is a Bayesian causal graphical model for joint Mendelian randomization analysis of multiple exposures and outcomes<br />- Directionality from exposures to outcomes is assumed with no reverse causation<br />- Six lifestyle exposures and seven mental health outcomes are modeled<br />- Education and smoking are primary intervention points<br />- A causal path exists from smoking to MDD to BD to schizophrenia<br />- Ascertainment bias explains the education-ASD association</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Zuber V et al., The American Journal of Human Genetics - Zuber et al. introduce MrDAG, a Bayesian causal graphical model that combines Mendelian randomization, structure learning, and interventional calculus to estimate causal effects among multiple correlated exposures and outcomes using summary-level GWAS data. The method reveals dependency structures and highlights education and smoking as key intervention points for mental health. Key terms: Mendelian randomization, Bayesian networks, causal inference, mental health, genetics.
 Study Highlights:MrDAG learns unconfounded dependency relations within exposures and outcomes by using genetically predicted trait components and explores essential graphs under the constraint that exposures causally precede outcomes. The model integrates structure learning with MR instrumental-variable logic and estimates causal effects via interventional calculus, averaging over graph uncertainty through Bayesian model averaging. In simulations MrDAG outperformed one-outcome-at-a-time and other multivariate MR and graphical approaches, showing fewer false positives and lower bias in causal effect estimates. Applied to lifestyle exposures and mental health phenotypes, MrDAG identified education and smoking as primary actionable nodes and uncovered mediated paths linking smoking to schizophrenia liability and cognition.
 Conclusion:MrDAG provides a scalable Bayesian framework to map complex causal pathways among multiple exposures and outcomes from summary genetic data, improving direct causal effect estimation and prioritizing interventions such as education and smoking reduction for mental health.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MrDAG is a Bayesian causal graphical model for joint Mendelian randomization analysis of multiple exposures and outcomes- Directionality from exposures to outcomes is assumed with no reverse causation- Six lifestyle exposures and seven mental health outcomes are modeled- Education and smoking are primary intervention points- A causal path exists from smoking to MDD to BD to schizophrenia- Ascertainment bias explains the education-ASD association
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[9: MrDAG and the causal architecture of mental health]]>
                </itunes:title>
                                    <itunes:episode>9</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Zuber V et al., The American Journal of Human Genetics - Zuber et al. introduce MrDAG, a Bayesian causal graphical model that combines Mendelian randomization, structure learning, and interventional calculus to estimate causal effects among multiple correlated exposures and outcomes using summary-level GWAS data. The method reveals dependency structures and highlights education and smoking as key intervention points for mental health. Key terms: Mendelian randomization, Bayesian networks, causal inference, mental health, genetics.</p>
<p> Study Highlights:<br />MrDAG learns unconfounded dependency relations within exposures and outcomes by using genetically predicted trait components and explores essential graphs under the constraint that exposures causally precede outcomes. The model integrates structure learning with MR instrumental-variable logic and estimates causal effects via interventional calculus, averaging over graph uncertainty through Bayesian model averaging. In simulations MrDAG outperformed one-outcome-at-a-time and other multivariate MR and graphical approaches, showing fewer false positives and lower bias in causal effect estimates. Applied to lifestyle exposures and mental health phenotypes, MrDAG identified education and smoking as primary actionable nodes and uncovered mediated paths linking smoking to schizophrenia liability and cognition.</p>
<p> Conclusion:<br />MrDAG provides a scalable Bayesian framework to map complex causal pathways among multiple exposures and outcomes from summary genetic data, improving direct causal effect estimation and prioritizing interventions such as education and smoking reduction for mental health.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-18.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- MrDAG is a Bayesian causal graphical model for joint Mendelian randomization analysis of multiple exposures and outcomes<br />- Directionality from exposures to outcomes is assumed with no reverse causation<br />- Six lifestyle exposures and seven mental health outcomes are modeled<br />- Education and smoking are primary intervention points<br />- A causal path exists from smoking to MDD to BD to schizophrenia<br />- Ascertainment bias explains the education-ASD association</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Zuber V et al., The American Journal of Human Genetics - Zuber et al. introduce MrDAG, a Bayesian causal graphical model that combines Mendelian randomization, structure learning, and interventional calculus to estimate causal effects among multiple correlated exposures and outcomes using summary-level GWAS data. The method reveals dependency structures and highlights education and smoking as key intervention points for mental health. Key terms: Mendelian randomization, Bayesian networks, causal inference, mental health, genetics.
 Study Highlights:MrDAG learns unconfounded dependency relations within exposures and outcomes by using genetically predicted trait components and explores essential graphs under the constraint that exposures causally precede outcomes. The model integrates structure learning with MR instrumental-variable logic and estimates causal effects via interventional calculus, averaging over graph uncertainty through Bayesian model averaging. In simulations MrDAG outperformed one-outcome-at-a-time and other multivariate MR and graphical approaches, showing fewer false positives and lower bias in causal effect estimates. Applied to lifestyle exposures and mental health phenotypes, MrDAG identified education and smoking as primary actionable nodes and uncovered mediated paths linking smoking to schizophrenia liability and cognition.
 Conclusion:MrDAG provides a scalable Bayesian framework to map complex causal pathways among multiple exposures and outcomes from summary genetic data, improving direct causal effect estimation and prioritizing interventions such as education and smoking reduction for mental health.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-18.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- MrDAG is a Bayesian causal graphical model for joint Mendelian randomization analysis of multiple exposures and outcomes- Directionality from exposures to outcomes is assumed with no reverse causation- Six lifestyle exposures and seven mental health outcomes are modeled- Education and smoking are primary intervention points- A causal path exists from smoking to MDD to BD to schizophrenia- Ascertainment bias explains the education-ASD association
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107601/c1a-p6xp7-ww4m10x9f33p-ifu2hc.png"></itunes:image>
                                                                            <itunes:duration>00:20:34</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[8: A structural variation reference for medical and population genetics]]>
                </title>
                <pubDate>Thu, 17 Apr 2025 21:00:00 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    e08cb1bf-0b65-4a96-93fe-633e2de3a419</guid>
                                    <link>https://basebybase.castos.com/episodes/mapping-structural-variation-a-global-reference-for-clinical-and-population-genomics</link>
                                <description>
                                            <![CDATA[<p>Collins RL et al et al., Nature - This episode reviews gnomAD-SV, a sequence-resolved reference of structural variants from 14,891 genomes that catalogs 433,371 SVs (335,470 high-quality) and integrates the resource into the gnomAD browser for population and clinical use. Key terms: structural variants, gnomAD-SV, whole-genome sequencing, dosage sensitivity, population genetics.</p>
<p> Study Highlights:<br />The authors built gnomAD-SV from high-coverage whole-genome sequencing across diverse populations and discovered a complex landscape of hundreds of thousands of SVs. They estimate SVs contribute about 25–29% of rare protein-truncating events per genome and show strong concordance between selection on damaging SNVs and rare gene-altering SVs. Noncoding CNVs show modest but widespread selection correlated with sequence conservation. The resource identifies very large rare SVs in a few percent of individuals and flags ~0.13% of people with SVs meeting existing criteria for clinically actionable incidental findings.</p>
<p> Conclusion:<br />gnomAD-SV provides a public, high-coverage reference of sequence-resolved structural variation that improves interpretation of SVs in population genetics, GWAS, and clinical whole-genome sequencing while noting short-read WGS underestimates some repeat-mediated and complex SV classes.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The episode reports that the gnomAD-SV study analyzed 14,891 genomes with an average coverage of 32×.<br />- The study discovered 433,371 SVs, with 335,470 high-quality SVs and a median of 7,439 SVs per genome.<br />- Structural variants contribute ~25–29% of all rare protein-truncating events per genome.<br />- 0.13% of individuals carry an SV meeting ACMG incidental findings criteria.<br />- Approximately 3.8% of individuals carry at least one very large (≥1 Mb) rare autosomal SV.<br />- An example case of chromothripsis-like rearrangement was found in a healthy adult.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Collins RL et al et al., Nature - This episode reviews gnomAD-SV, a sequence-resolved reference of structural variants from 14,891 genomes that catalogs 433,371 SVs (335,470 high-quality) and integrates the resource into the gnomAD browser for population and clinical use. Key terms: structural variants, gnomAD-SV, whole-genome sequencing, dosage sensitivity, population genetics.
 Study Highlights:The authors built gnomAD-SV from high-coverage whole-genome sequencing across diverse populations and discovered a complex landscape of hundreds of thousands of SVs. They estimate SVs contribute about 25–29% of rare protein-truncating events per genome and show strong concordance between selection on damaging SNVs and rare gene-altering SVs. Noncoding CNVs show modest but widespread selection correlated with sequence conservation. The resource identifies very large rare SVs in a few percent of individuals and flags ~0.13% of people with SVs meeting existing criteria for clinically actionable incidental findings.
 Conclusion:gnomAD-SV provides a public, high-coverage reference of sequence-resolved structural variation that improves interpretation of SVs in population genetics, GWAS, and clinical whole-genome sequencing while noting short-read WGS underestimates some repeat-mediated and complex SV classes.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The episode reports that the gnomAD-SV study analyzed 14,891 genomes with an average coverage of 32×.- The study discovered 433,371 SVs, with 335,470 high-quality SVs and a median of 7,439 SVs per genome.- Structural variants contribute ~25–29% of all rare protein-truncating events per genome.- 0.13% of individuals carry an SV meeting ACMG incidental findings criteria.- Approximately 3.8% of individuals carry at least one very large (≥1 Mb) rare autosomal SV.- An example case of chromothripsis-like rearrangement was found in a healthy adult.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[8: A structural variation reference for medical and population genetics]]>
                </itunes:title>
                                    <itunes:episode>8</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Collins RL et al et al., Nature - This episode reviews gnomAD-SV, a sequence-resolved reference of structural variants from 14,891 genomes that catalogs 433,371 SVs (335,470 high-quality) and integrates the resource into the gnomAD browser for population and clinical use. Key terms: structural variants, gnomAD-SV, whole-genome sequencing, dosage sensitivity, population genetics.</p>
<p> Study Highlights:<br />The authors built gnomAD-SV from high-coverage whole-genome sequencing across diverse populations and discovered a complex landscape of hundreds of thousands of SVs. They estimate SVs contribute about 25–29% of rare protein-truncating events per genome and show strong concordance between selection on damaging SNVs and rare gene-altering SVs. Noncoding CNVs show modest but widespread selection correlated with sequence conservation. The resource identifies very large rare SVs in a few percent of individuals and flags ~0.13% of people with SVs meeting existing criteria for clinically actionable incidental findings.</p>
<p> Conclusion:<br />gnomAD-SV provides a public, high-coverage reference of sequence-resolved structural variation that improves interpretation of SVs in population genetics, GWAS, and clinical whole-genome sequencing while noting short-read WGS underestimates some repeat-mediated and complex SV classes.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The episode reports that the gnomAD-SV study analyzed 14,891 genomes with an average coverage of 32×.<br />- The study discovered 433,371 SVs, with 335,470 high-quality SVs and a median of 7,439 SVs per genome.<br />- Structural variants contribute ~25–29% of all rare protein-truncating events per genome.<br />- 0.13% of individuals carry an SV meeting ACMG incidental findings criteria.<br />- Approximately 3.8% of individuals carry at least one very large (≥1 Mb) rare autosomal SV.<br />- An example case of chromothripsis-like rearrangement was found in a healthy adult.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Collins RL et al et al., Nature - This episode reviews gnomAD-SV, a sequence-resolved reference of structural variants from 14,891 genomes that catalogs 433,371 SVs (335,470 high-quality) and integrates the resource into the gnomAD browser for population and clinical use. Key terms: structural variants, gnomAD-SV, whole-genome sequencing, dosage sensitivity, population genetics.
 Study Highlights:The authors built gnomAD-SV from high-coverage whole-genome sequencing across diverse populations and discovered a complex landscape of hundreds of thousands of SVs. They estimate SVs contribute about 25–29% of rare protein-truncating events per genome and show strong concordance between selection on damaging SNVs and rare gene-altering SVs. Noncoding CNVs show modest but widespread selection correlated with sequence conservation. The resource identifies very large rare SVs in a few percent of individuals and flags ~0.13% of people with SVs meeting existing criteria for clinically actionable incidental findings.
 Conclusion:gnomAD-SV provides a public, high-coverage reference of sequence-resolved structural variation that improves interpretation of SVs in population genetics, GWAS, and clinical whole-genome sequencing while noting short-read WGS underestimates some repeat-mediated and complex SV classes.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The episode reports that the gnomAD-SV study analyzed 14,891 genomes with an average coverage of 32×.- The study discovered 433,371 SVs, with 335,470 high-quality SVs and a median of 7,439 SVs per genome.- Structural variants contribute ~25–29% of all rare protein-truncating events per genome.- 0.13% of individuals carry an SV meeting ACMG incidental findings criteria.- Approximately 3.8% of individuals carry at least one very large (≥1 Mb) rare autosomal SV.- An example case of chromothripsis-like rearrangement was found in a healthy adult.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107603/c1a-p6xp7-9jg0o8nzuqp-8zeyrt.png"></itunes:image>
                                                                            <itunes:duration>00:24:51</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[7: Using high-resolution variant frequencies to empower clinical genome interpretation]]>
                </title>
                <pubDate>Thu, 17 Apr 2025 17:52:06 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    c77736c3-69a4-4076-98ba-c322a073a052</guid>
                                    <link>https://basebybase.castos.com/episodes/filtering-with-precision-how-high-resolution-variant-frequencies-enhance-clinical-genome-interpretat-1</link>
                                <description>
                                            <![CDATA[<p>Whiffin N et al., Genetics in Medicine - A statistical framework uses large reference allele-frequency data (ExAC) together with disease prevalence, heterogeneity, penetrance, and sampling variance to set rigorous frequency filters that improve Mendelian variant interpretation. Key terms: allele frequency, clinical genomics, ExAC, inherited cardiovascular conditions, variant interpretation.</p>
<p> Study Highlights:<br />The authors develop a two-step statistical framework to compute a disease-specific maximum credible population allele frequency and a maximum tolerated allele count accounting for prevalence, genetic and allelic heterogeneity, inheritance mode, penetrance, and sampling variance. Applying this to hypertrophic cardiomyopathy and other inherited cardiac conditions using ExAC, stringent thresholds (well below 0.1%) remove roughly two-thirds of candidate protein-altering variants per exome. Validation against curated ClinVar and case series shows true pathogenic variants are retained while many likely benign or unsupported variants are reclassified. The group provides precomputed filtering allele frequencies for ExAC and an online calculator and code to apply the approach.</p>
<p> Conclusion:<br />A disease-aware, statistically principled allele-frequency filtering framework and precomputed ExAC thresholds materially reduce candidate variant lists and improve clinical genome interpretation without discarding true pathogenic variants.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The article presents a two-stage statistical framework to assess whether a disease-associated variant is too common, incorporating disease prevalence, genetic/allelic heterogeneity<br />- Maximum credible population AF for a pathogenic variant is defined as prevalence × maximum allelic contribution × 1/penetrance (with a separate formula for recessive diseases).<br />- Using hypertrophic cardiomyopathy (HCM) as an exemplar, prevalence ~1/500, max allelic contribution ~0.02, penetrance ~0.5 yields max credible AF ~4×10^-5.<br />- Maximum tolerated ExAC allele count for HCM is 9, given AN ≈ 121,412 and 50% penetrance; this led to threshold of 9 with observed 3 in ExAC for a pathogenic variant MYBPC3 c.1504C&gt;<br />- The approach reduces the number of candidate variants per exome by about two-thirds (from ~176 to ~63) and retains 99.6% of true pathogenic variants for HCM.<br />- The framework can be extended to recessive diseases; example PCD yields maximum tolerated ExAC AC of 322; a variant with AC 2306 observed in NME8 is too common to cause disease.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Whiffin N et al., Genetics in Medicine - A statistical framework uses large reference allele-frequency data (ExAC) together with disease prevalence, heterogeneity, penetrance, and sampling variance to set rigorous frequency filters that improve Mendelian variant interpretation. Key terms: allele frequency, clinical genomics, ExAC, inherited cardiovascular conditions, variant interpretation.
 Study Highlights:The authors develop a two-step statistical framework to compute a disease-specific maximum credible population allele frequency and a maximum tolerated allele count accounting for prevalence, genetic and allelic heterogeneity, inheritance mode, penetrance, and sampling variance. Applying this to hypertrophic cardiomyopathy and other inherited cardiac conditions using ExAC, stringent thresholds (well below 0.1%) remove roughly two-thirds of candidate protein-altering variants per exome. Validation against curated ClinVar and case series shows true pathogenic variants are retained while many likely benign or unsupported variants are reclassified. The group provides precomputed filtering allele frequencies for ExAC and an online calculator and code to apply the approach.
 Conclusion:A disease-aware, statistically principled allele-frequency filtering framework and precomputed ExAC thresholds materially reduce candidate variant lists and improve clinical genome interpretation without discarding true pathogenic variants.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The article presents a two-stage statistical framework to assess whether a disease-associated variant is too common, incorporating disease prevalence, genetic/allelic heterogeneity- Maximum credible population AF for a pathogenic variant is defined as prevalence × maximum allelic contribution × 1/penetrance (with a separate formula for recessive diseases).- Using hypertrophic cardiomyopathy (HCM) as an exemplar, prevalence ~1/500, max allelic contribution ~0.02, penetrance ~0.5 yields max credible AF ~4×10^-5.- Maximum tolerated ExAC allele count for HCM is 9, given AN ≈ 121,412 and 50% penetrance; this led to threshold of 9 with observed 3 in ExAC for a pathogenic variant MYBPC3 c.1504C>- The approach reduces the number of candidate variants per exome by about two-thirds (from ~176 to ~63) and retains 99.6% of true pathogenic variants for HCM.- The framework can be extended to recessive diseases; example PCD yields maximum tolerated ExAC AC of 322; a variant with AC 2306 observed in NME8 is too common to cause disease.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[7: Using high-resolution variant frequencies to empower clinical genome interpretation]]>
                </itunes:title>
                                    <itunes:episode>7</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Whiffin N et al., Genetics in Medicine - A statistical framework uses large reference allele-frequency data (ExAC) together with disease prevalence, heterogeneity, penetrance, and sampling variance to set rigorous frequency filters that improve Mendelian variant interpretation. Key terms: allele frequency, clinical genomics, ExAC, inherited cardiovascular conditions, variant interpretation.</p>
<p> Study Highlights:<br />The authors develop a two-step statistical framework to compute a disease-specific maximum credible population allele frequency and a maximum tolerated allele count accounting for prevalence, genetic and allelic heterogeneity, inheritance mode, penetrance, and sampling variance. Applying this to hypertrophic cardiomyopathy and other inherited cardiac conditions using ExAC, stringent thresholds (well below 0.1%) remove roughly two-thirds of candidate protein-altering variants per exome. Validation against curated ClinVar and case series shows true pathogenic variants are retained while many likely benign or unsupported variants are reclassified. The group provides precomputed filtering allele frequencies for ExAC and an online calculator and code to apply the approach.</p>
<p> Conclusion:<br />A disease-aware, statistically principled allele-frequency filtering framework and precomputed ExAC thresholds materially reduce candidate variant lists and improve clinical genome interpretation without discarding true pathogenic variants.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- The article presents a two-stage statistical framework to assess whether a disease-associated variant is too common, incorporating disease prevalence, genetic/allelic heterogeneity<br />- Maximum credible population AF for a pathogenic variant is defined as prevalence × maximum allelic contribution × 1/penetrance (with a separate formula for recessive diseases).<br />- Using hypertrophic cardiomyopathy (HCM) as an exemplar, prevalence ~1/500, max allelic contribution ~0.02, penetrance ~0.5 yields max credible AF ~4×10^-5.<br />- Maximum tolerated ExAC allele count for HCM is 9, given AN ≈ 121,412 and 50% penetrance; this led to threshold of 9 with observed 3 in ExAC for a pathogenic variant MYBPC3 c.1504C&gt;<br />- The approach reduces the number of candidate variants per exome by about two-thirds (from ~176 to ~63) and retains 99.6% of true pathogenic variants for HCM.<br />- The framework can be extended to recessive diseases; example PCD yields maximum tolerated ExAC AC of 322; a variant with AC 2306 observed in NME8 is too common to cause disease.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Whiffin N et al., Genetics in Medicine - A statistical framework uses large reference allele-frequency data (ExAC) together with disease prevalence, heterogeneity, penetrance, and sampling variance to set rigorous frequency filters that improve Mendelian variant interpretation. Key terms: allele frequency, clinical genomics, ExAC, inherited cardiovascular conditions, variant interpretation.
 Study Highlights:The authors develop a two-step statistical framework to compute a disease-specific maximum credible population allele frequency and a maximum tolerated allele count accounting for prevalence, genetic and allelic heterogeneity, inheritance mode, penetrance, and sampling variance. Applying this to hypertrophic cardiomyopathy and other inherited cardiac conditions using ExAC, stringent thresholds (well below 0.1%) remove roughly two-thirds of candidate protein-altering variants per exome. Validation against curated ClinVar and case series shows true pathogenic variants are retained while many likely benign or unsupported variants are reclassified. The group provides precomputed filtering allele frequencies for ExAC and an online calculator and code to apply the approach.
 Conclusion:A disease-aware, statistically principled allele-frequency filtering framework and precomputed ExAC thresholds materially reduce candidate variant lists and improve clinical genome interpretation without discarding true pathogenic variants.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- The article presents a two-stage statistical framework to assess whether a disease-associated variant is too common, incorporating disease prevalence, genetic/allelic heterogeneity- Maximum credible population AF for a pathogenic variant is defined as prevalence × maximum allelic contribution × 1/penetrance (with a separate formula for recessive diseases).- Using hypertrophic cardiomyopathy (HCM) as an exemplar, prevalence ~1/500, max allelic contribution ~0.02, penetrance ~0.5 yields max credible AF ~4×10^-5.- Maximum tolerated ExAC allele count for HCM is 9, given AN ≈ 121,412 and 50% penetrance; this led to threshold of 9 with observed 3 in ExAC for a pathogenic variant MYBPC3 c.1504C>- The approach reduces the number of candidate variants per exome by about two-thirds (from ~176 to ~63) and retains 99.6% of true pathogenic variants for HCM.- The framework can be extended to recessive diseases; example PCD yields maximum tolerated ExAC AC of 322; a variant with AC 2306 observed in NME8 is too common to cause disease.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107604/c1a-p6xp7-mk91dvxocpgg-dwwz2b.png"></itunes:image>
                                                                            <itunes:duration>00:19:10</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[6: TRMT1, tRNA m2,2G, and Intellectual Disability]]>
                </title>
                <pubDate>Thu, 17 Apr 2025 09:40:08 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    bec4d972-ce63-40e8-8d4b-675c733aa0c1</guid>
                                    <link>https://basebybase.castos.com/episodes/cracking-the-code-how-trmt1-mutations-disrupt-trna-and-drive-neurodevelopmental-disorders</link>
                                <description>
                                            <![CDATA[<p>Efthymiou S et al., The American Journal of Human Genetics - A global cohort study identifies bi-allelic TRMT1 variants that cause developmental delay and intellectual disability, links those variants to reduced tRNA m2,2G modification in patient cells, and models TRMT1 deficiency in zebrafish to reveal developmental and transcriptomic consequences. Key terms: TRMT1, tRNA modification, intellectual disability, m2,2G, zebrafish.</p>
<p> Study Highlights:<br />The authors report 43 affected individuals from 31 families with bi-allelic TRMT1 variants (missense, splice, frameshift) presenting with universal developmental delay and intellectual disability and variable seizures and dysmorphism. Functional assays show many variants cause aberrant splicing or reduced TRMT1 protein, and patient-derived cells exhibit markedly reduced m2,2G tRNA modifications by primer extension and LC-MS. Variant-specific effects map to distinct regions of TRMT1 that differentially impair tRNA binding or catalytic activity, and TRMT1 variants show variable rescue in TRMT1-KO cells. CRISPR trmt1-deficient zebrafish display developmental delay, reduced brain size, decreased neuronal proliferation, behavioral changes, and transcriptomic shifts implicating cell-cycle and immune pathways.</p>
<p> Conclusion:<br />Loss of TRMT1-catalyzed m2,2G tRNA modification underlies an autosomal-recessive neurodevelopmental disorder; TRMT1 should be considered in diagnostic testing for unexplained intellectual disability and as a model for tRNA-modification–linked neuropathology.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Bi-allelic TRMT1 variants disrupt m2,2G modification in tRNAs.<br />- TRMT1 catalyzes the formation of m2,2G in cytosolic and mitochondrial tRNAs, and generates nearly all m2,2G modifications in human cells.<br />- Bi-allelic TRMT1 variants cause an autosomal-recessive neurodevelopmental disorder with developmental delay and intellectual disability.<br />- TRMT1 variants reduce TRMT1 protein accumulation in patient-derived cells in some cases due to splicing or stability defects.<br />- TRMT1 variants lead to reduced m2,2G modification in patient cells as shown by primer extension and LC-MS analyses.<br />- Zebrafish TRMT1 depletion recapitulates neurodevelopmental and behavioral phenotypes (developmental delay, reduced brain size, altered behavior).</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Efthymiou S et al., The American Journal of Human Genetics - A global cohort study identifies bi-allelic TRMT1 variants that cause developmental delay and intellectual disability, links those variants to reduced tRNA m2,2G modification in patient cells, and models TRMT1 deficiency in zebrafish to reveal developmental and transcriptomic consequences. Key terms: TRMT1, tRNA modification, intellectual disability, m2,2G, zebrafish.
 Study Highlights:The authors report 43 affected individuals from 31 families with bi-allelic TRMT1 variants (missense, splice, frameshift) presenting with universal developmental delay and intellectual disability and variable seizures and dysmorphism. Functional assays show many variants cause aberrant splicing or reduced TRMT1 protein, and patient-derived cells exhibit markedly reduced m2,2G tRNA modifications by primer extension and LC-MS. Variant-specific effects map to distinct regions of TRMT1 that differentially impair tRNA binding or catalytic activity, and TRMT1 variants show variable rescue in TRMT1-KO cells. CRISPR trmt1-deficient zebrafish display developmental delay, reduced brain size, decreased neuronal proliferation, behavioral changes, and transcriptomic shifts implicating cell-cycle and immune pathways.
 Conclusion:Loss of TRMT1-catalyzed m2,2G tRNA modification underlies an autosomal-recessive neurodevelopmental disorder; TRMT1 should be considered in diagnostic testing for unexplained intellectual disability and as a model for tRNA-modification–linked neuropathology.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Bi-allelic TRMT1 variants disrupt m2,2G modification in tRNAs.- TRMT1 catalyzes the formation of m2,2G in cytosolic and mitochondrial tRNAs, and generates nearly all m2,2G modifications in human cells.- Bi-allelic TRMT1 variants cause an autosomal-recessive neurodevelopmental disorder with developmental delay and intellectual disability.- TRMT1 variants reduce TRMT1 protein accumulation in patient-derived cells in some cases due to splicing or stability defects.- TRMT1 variants lead to reduced m2,2G modification in patient cells as shown by primer extension and LC-MS analyses.- Zebrafish TRMT1 depletion recapitulates neurodevelopmental and behavioral phenotypes (developmental delay, reduced brain size, altered behavior).
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[6: TRMT1, tRNA m2,2G, and Intellectual Disability]]>
                </itunes:title>
                                    <itunes:episode>6</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Efthymiou S et al., The American Journal of Human Genetics - A global cohort study identifies bi-allelic TRMT1 variants that cause developmental delay and intellectual disability, links those variants to reduced tRNA m2,2G modification in patient cells, and models TRMT1 deficiency in zebrafish to reveal developmental and transcriptomic consequences. Key terms: TRMT1, tRNA modification, intellectual disability, m2,2G, zebrafish.</p>
<p> Study Highlights:<br />The authors report 43 affected individuals from 31 families with bi-allelic TRMT1 variants (missense, splice, frameshift) presenting with universal developmental delay and intellectual disability and variable seizures and dysmorphism. Functional assays show many variants cause aberrant splicing or reduced TRMT1 protein, and patient-derived cells exhibit markedly reduced m2,2G tRNA modifications by primer extension and LC-MS. Variant-specific effects map to distinct regions of TRMT1 that differentially impair tRNA binding or catalytic activity, and TRMT1 variants show variable rescue in TRMT1-KO cells. CRISPR trmt1-deficient zebrafish display developmental delay, reduced brain size, decreased neuronal proliferation, behavioral changes, and transcriptomic shifts implicating cell-cycle and immune pathways.</p>
<p> Conclusion:<br />Loss of TRMT1-catalyzed m2,2G tRNA modification underlies an autosomal-recessive neurodevelopmental disorder; TRMT1 should be considered in diagnostic testing for unexplained intellectual disability and as a model for tRNA-modification–linked neuropathology.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Bi-allelic TRMT1 variants disrupt m2,2G modification in tRNAs.<br />- TRMT1 catalyzes the formation of m2,2G in cytosolic and mitochondrial tRNAs, and generates nearly all m2,2G modifications in human cells.<br />- Bi-allelic TRMT1 variants cause an autosomal-recessive neurodevelopmental disorder with developmental delay and intellectual disability.<br />- TRMT1 variants reduce TRMT1 protein accumulation in patient-derived cells in some cases due to splicing or stability defects.<br />- TRMT1 variants lead to reduced m2,2G modification in patient cells as shown by primer extension and LC-MS analyses.<br />- Zebrafish TRMT1 depletion recapitulates neurodevelopmental and behavioral phenotypes (developmental delay, reduced brain size, altered behavior).</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Efthymiou S et al., The American Journal of Human Genetics - A global cohort study identifies bi-allelic TRMT1 variants that cause developmental delay and intellectual disability, links those variants to reduced tRNA m2,2G modification in patient cells, and models TRMT1 deficiency in zebrafish to reveal developmental and transcriptomic consequences. Key terms: TRMT1, tRNA modification, intellectual disability, m2,2G, zebrafish.
 Study Highlights:The authors report 43 affected individuals from 31 families with bi-allelic TRMT1 variants (missense, splice, frameshift) presenting with universal developmental delay and intellectual disability and variable seizures and dysmorphism. Functional assays show many variants cause aberrant splicing or reduced TRMT1 protein, and patient-derived cells exhibit markedly reduced m2,2G tRNA modifications by primer extension and LC-MS. Variant-specific effects map to distinct regions of TRMT1 that differentially impair tRNA binding or catalytic activity, and TRMT1 variants show variable rescue in TRMT1-KO cells. CRISPR trmt1-deficient zebrafish display developmental delay, reduced brain size, decreased neuronal proliferation, behavioral changes, and transcriptomic shifts implicating cell-cycle and immune pathways.
 Conclusion:Loss of TRMT1-catalyzed m2,2G tRNA modification underlies an autosomal-recessive neurodevelopmental disorder; TRMT1 should be considered in diagnostic testing for unexplained intellectual disability and as a model for tRNA-modification–linked neuropathology.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-17.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Bi-allelic TRMT1 variants disrupt m2,2G modification in tRNAs.- TRMT1 catalyzes the formation of m2,2G in cytosolic and mitochondrial tRNAs, and generates nearly all m2,2G modifications in human cells.- Bi-allelic TRMT1 variants cause an autosomal-recessive neurodevelopmental disorder with developmental delay and intellectual disability.- TRMT1 variants reduce TRMT1 protein accumulation in patient-derived cells in some cases due to splicing or stability defects.- TRMT1 variants lead to reduced m2,2G modification in patient cells as shown by primer extension and LC-MS analyses.- Zebrafish TRMT1 depletion recapitulates neurodevelopmental and behavioral phenotypes (developmental delay, reduced brain size, altered behavior).
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107606/c1a-p6xp7-pknj37gvip2x-gyxmka.png"></itunes:image>
                                                                            <itunes:duration>00:26:15</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[5: Promoter Footprints Predicting Preterm Birth]]>
                </title>
                <pubDate>Wed, 16 Apr 2025 23:46:13 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    0c74346a-02e8-4f42-9a9e-9497cca7af5e</guid>
                                    <link>https://basebybase.castos.com/episodes/decoding-preterm-birth-how-cfdna-promoter-profiles-can-predict-pregnancy-risk</link>
                                <description>
                                            <![CDATA[<p>Guo Z et al., PLOS Medicine - Large multi-center case-control study shows promoter-region nucleosome footprints in plasma cell-free DNA can predict spontaneous preterm birth. The authors developed PTerm, an 83-gene SVM classifier applied to routine NIPT data, validated across three cohorts. Key terms: cell-free DNA, preterm birth, promoter profiling, NIPT, machine learning.</p>
<p> Study Highlights:<br />The study used whole-genome cfDNA sequencing from 2,590 pregnancies across three hospitals to compare promoter (pTSS) read-depths and identify 277 differentially covered genes between preterm and full-term births. Promoter profiling reflected tissue-specific expression and highlighted placenta- and immune-related pathways. A linear SVM classifier (PTerm) with 83 genes achieved AUC 0.878 by LOOCV in training and an overall AUC 0.849 across three validation cohorts. The method is compatible with routine NIPT data without additional tests or cost.</p>
<p> Conclusion:<br />Promoter profiling of plasma cfDNA yields a robust, non-invasive classifier (PTerm) for early prediction of preterm birth that can be applied to existing NIPT workflows, though prospective and ethnically diverse validation is needed.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PTerm is an 83-gene SVM classifier that predicts preterm birth with high accuracy across three validation cohorts (AUC 0.849).<br />- Promoter footprints depth reflects gene expression: higher footprint depth at pTSS indicates decreased expression.<br />- PTerm outperforms BMI and fetal fraction in predicting PTB; BMI/FF alone are around 0.527, while PTerm alone is 0.849 (and integration yields similar).<br />- PTerm can be applied to routine NIPT data with no additional procedures or costs.<br />- Hub genes ESR1, NFKBIA, and ATF3 are among hub genes related to PTB; they support the biology behind the model.<br />- Limitations include Chinese cohort, gestational window 12-28 weeks, lack of placental histology, and generalizability concerns.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Guo Z et al., PLOS Medicine - Large multi-center case-control study shows promoter-region nucleosome footprints in plasma cell-free DNA can predict spontaneous preterm birth. The authors developed PTerm, an 83-gene SVM classifier applied to routine NIPT data, validated across three cohorts. Key terms: cell-free DNA, preterm birth, promoter profiling, NIPT, machine learning.
 Study Highlights:The study used whole-genome cfDNA sequencing from 2,590 pregnancies across three hospitals to compare promoter (pTSS) read-depths and identify 277 differentially covered genes between preterm and full-term births. Promoter profiling reflected tissue-specific expression and highlighted placenta- and immune-related pathways. A linear SVM classifier (PTerm) with 83 genes achieved AUC 0.878 by LOOCV in training and an overall AUC 0.849 across three validation cohorts. The method is compatible with routine NIPT data without additional tests or cost.
 Conclusion:Promoter profiling of plasma cfDNA yields a robust, non-invasive classifier (PTerm) for early prediction of preterm birth that can be applied to existing NIPT workflows, though prospective and ethnically diverse validation is needed.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- PTerm is an 83-gene SVM classifier that predicts preterm birth with high accuracy across three validation cohorts (AUC 0.849).- Promoter footprints depth reflects gene expression: higher footprint depth at pTSS indicates decreased expression.- PTerm outperforms BMI and fetal fraction in predicting PTB; BMI/FF alone are around 0.527, while PTerm alone is 0.849 (and integration yields similar).- PTerm can be applied to routine NIPT data with no additional procedures or costs.- Hub genes ESR1, NFKBIA, and ATF3 are among hub genes related to PTB; they support the biology behind the model.- Limitations include Chinese cohort, gestational window 12-28 weeks, lack of placental histology, and generalizability concerns.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[5: Promoter Footprints Predicting Preterm Birth]]>
                </itunes:title>
                                    <itunes:episode>5</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Guo Z et al., PLOS Medicine - Large multi-center case-control study shows promoter-region nucleosome footprints in plasma cell-free DNA can predict spontaneous preterm birth. The authors developed PTerm, an 83-gene SVM classifier applied to routine NIPT data, validated across three cohorts. Key terms: cell-free DNA, preterm birth, promoter profiling, NIPT, machine learning.</p>
<p> Study Highlights:<br />The study used whole-genome cfDNA sequencing from 2,590 pregnancies across three hospitals to compare promoter (pTSS) read-depths and identify 277 differentially covered genes between preterm and full-term births. Promoter profiling reflected tissue-specific expression and highlighted placenta- and immune-related pathways. A linear SVM classifier (PTerm) with 83 genes achieved AUC 0.878 by LOOCV in training and an overall AUC 0.849 across three validation cohorts. The method is compatible with routine NIPT data without additional tests or cost.</p>
<p> Conclusion:<br />Promoter profiling of plasma cfDNA yields a robust, non-invasive classifier (PTerm) for early prediction of preterm birth that can be applied to existing NIPT workflows, though prospective and ethnically diverse validation is needed.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- PTerm is an 83-gene SVM classifier that predicts preterm birth with high accuracy across three validation cohorts (AUC 0.849).<br />- Promoter footprints depth reflects gene expression: higher footprint depth at pTSS indicates decreased expression.<br />- PTerm outperforms BMI and fetal fraction in predicting PTB; BMI/FF alone are around 0.527, while PTerm alone is 0.849 (and integration yields similar).<br />- PTerm can be applied to routine NIPT data with no additional procedures or costs.<br />- Hub genes ESR1, NFKBIA, and ATF3 are among hub genes related to PTB; they support the biology behind the model.<br />- Limitations include Chinese cohort, gestational window 12-28 weeks, lack of placental histology, and generalizability concerns.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
                                    <enclosure url="https://dts.podtrac.com/redirect.mp3/episodes.castos.com/6857d0f4a3b5e4-25951952/2107605/c1e-vo4xrc7p26oi393xz-okpgzgovim46-tfukic.mp3?awCollectionId=66206&amp;awEpisodeId=0c74346a-02e8-4f42-9a9e-9497cca7af5e&amp;aw_0_1st.ri=castos&amp;aw_0_cnt.rss=https%3A%2F%2Ffeeds.castos.com%2Fnzx9q&amp;aw_0_azn.pgenre=%5BScience%3A+Life+Sciences%2CHealth+%26+Fitness%3A+Medicine%2CScience%5D&amp;aw_0_cnt.url=https%3A%2F%2Fbasebybase.castos.com%2Fepisodes%2Fdecoding-preterm-birth-how-cfdna-promoter-profiles-can-predict-pregnancy-risk&amp;aw_0_azn.planguage=en-us&amp;aw_0_azn.pcountry=US&amp;q_co=462bcf9ea8f964b62a54a41a32adb1bd8613feb8deaa2f9d687dd7fa2bad79da" length="36333549"
                        type="audio/mpeg">
                    </enclosure>
                                <itunes:summary>
                    <![CDATA[Guo Z et al., PLOS Medicine - Large multi-center case-control study shows promoter-region nucleosome footprints in plasma cell-free DNA can predict spontaneous preterm birth. The authors developed PTerm, an 83-gene SVM classifier applied to routine NIPT data, validated across three cohorts. Key terms: cell-free DNA, preterm birth, promoter profiling, NIPT, machine learning.
 Study Highlights:The study used whole-genome cfDNA sequencing from 2,590 pregnancies across three hospitals to compare promoter (pTSS) read-depths and identify 277 differentially covered genes between preterm and full-term births. Promoter profiling reflected tissue-specific expression and highlighted placenta- and immune-related pathways. A linear SVM classifier (PTerm) with 83 genes achieved AUC 0.878 by LOOCV in training and an overall AUC 0.849 across three validation cohorts. The method is compatible with routine NIPT data without additional tests or cost.
 Conclusion:Promoter profiling of plasma cfDNA yields a robust, non-invasive classifier (PTerm) for early prediction of preterm birth that can be applied to existing NIPT workflows, though prospective and ethnically diverse validation is needed.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- PTerm is an 83-gene SVM classifier that predicts preterm birth with high accuracy across three validation cohorts (AUC 0.849).- Promoter footprints depth reflects gene expression: higher footprint depth at pTSS indicates decreased expression.- PTerm outperforms BMI and fetal fraction in predicting PTB; BMI/FF alone are around 0.527, while PTerm alone is 0.849 (and integration yields similar).- PTerm can be applied to routine NIPT data with no additional procedures or costs.- Hub genes ESR1, NFKBIA, and ATF3 are among hub genes related to PTB; they support the biology behind the model.- Limitations include Chinese cohort, gestational window 12-28 weeks, lack of placental histology, and generalizability concerns.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107605/c1a-p6xp7-gpjk8nk9ugqm-ysxzab.png"></itunes:image>
                                                                            <itunes:duration>00:14:43</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[4: How CXCL12 Shapes Coronary Dominance]]>
                </title>
                <pubDate>Wed, 16 Apr 2025 17:10:39 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    f47d61c1-18eb-4766-bff7-75e47df04c5c</guid>
                                    <link>https://basebybase.castos.com/episodes/shaping-the-heart-how-cxcl12-drives-coronary-artery-anatomy</link>
                                <description>
                                            <![CDATA[<p>Rios Coronado PE et al., Cell - A multi-ancestry GWAS in &gt;61,000 veterans identifies CXCL12 as a top locus influencing whether the right or left coronary tree supplies the posterior heart; fetal expression, spatial transcriptomics, deep-learning regulatory maps, and mouse heterozygous knockdown link CXCL12 regulation to coronary dominance. Key terms: CXCL12, coronary dominance, GWAS, fetal heart development, mouse model.</p>
<p> Study Highlights:<br />A GWAS of coronary dominance in 61,043 genotyped participants revealed moderate heritability and ten genome-wide significant loci, with the strongest signal near CXCL12 in both European- and African-ancestry groups. Genetic, eQTL, and deep-learning chromatin analyses indicate dominance-associated variants modulate CXCL12 regulatory elements and expression in vascular cell types. Spatial transcriptomics and fetal heart imaging show CXCL12 expression where dominance is established, and Cxcl12 haploinsufficiency in mice shifts septal artery dominance, supporting a causal role. The CXCL12 locus partially colocalizes with coronary artery disease signals, linking developmental patterning to adult disease risk.</p>
<p> Conclusion:<br />Common regulatory variation at the CXCL12 locus influences coronary artery patterning established in fetal development; modulating CXCL12 levels alters artery placement in mice and suggests developmental pathways could be targeted for revascularization.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CXCL12 is the top GWAS signal for coronary dominance in EUR and AFR populations.<br />- CXCL12-CXCR4 signaling directs coronary artery development by chemoattraction of CXCR4-expressing pre-artery ECs toward CXCL12.<br />- Noncoding variants near CXCL12 modulate expression, causing reduced CXCL12 signaling and altered coronary patterning.<br />- Cxcl12 haploinsufficiency in mice shifts SpA (septal artery) dominance toward codominance, supporting a causal role for CXCL12 levels in arterial patterning.<br />- Dominance is established during fetal development with CXCL12 expressed in fetal hearts where dominance is set.<br />- Localized CXCL12 delivery could induce collateral arteries in humans, offering a path to medical revascularization, with emphasis on targeted delivery to minimize risks.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Rios Coronado PE et al., Cell - A multi-ancestry GWAS in >61,000 veterans identifies CXCL12 as a top locus influencing whether the right or left coronary tree supplies the posterior heart; fetal expression, spatial transcriptomics, deep-learning regulatory maps, and mouse heterozygous knockdown link CXCL12 regulation to coronary dominance. Key terms: CXCL12, coronary dominance, GWAS, fetal heart development, mouse model.
 Study Highlights:A GWAS of coronary dominance in 61,043 genotyped participants revealed moderate heritability and ten genome-wide significant loci, with the strongest signal near CXCL12 in both European- and African-ancestry groups. Genetic, eQTL, and deep-learning chromatin analyses indicate dominance-associated variants modulate CXCL12 regulatory elements and expression in vascular cell types. Spatial transcriptomics and fetal heart imaging show CXCL12 expression where dominance is established, and Cxcl12 haploinsufficiency in mice shifts septal artery dominance, supporting a causal role. The CXCL12 locus partially colocalizes with coronary artery disease signals, linking developmental patterning to adult disease risk.
 Conclusion:Common regulatory variation at the CXCL12 locus influences coronary artery patterning established in fetal development; modulating CXCL12 levels alters artery placement in mice and suggests developmental pathways could be targeted for revascularization.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CXCL12 is the top GWAS signal for coronary dominance in EUR and AFR populations.- CXCL12-CXCR4 signaling directs coronary artery development by chemoattraction of CXCR4-expressing pre-artery ECs toward CXCL12.- Noncoding variants near CXCL12 modulate expression, causing reduced CXCL12 signaling and altered coronary patterning.- Cxcl12 haploinsufficiency in mice shifts SpA (septal artery) dominance toward codominance, supporting a causal role for CXCL12 levels in arterial patterning.- Dominance is established during fetal development with CXCL12 expressed in fetal hearts where dominance is set.- Localized CXCL12 delivery could induce collateral arteries in humans, offering a path to medical revascularization, with emphasis on targeted delivery to minimize risks.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[4: How CXCL12 Shapes Coronary Dominance]]>
                </itunes:title>
                                    <itunes:episode>4</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Rios Coronado PE et al., Cell - A multi-ancestry GWAS in &gt;61,000 veterans identifies CXCL12 as a top locus influencing whether the right or left coronary tree supplies the posterior heart; fetal expression, spatial transcriptomics, deep-learning regulatory maps, and mouse heterozygous knockdown link CXCL12 regulation to coronary dominance. Key terms: CXCL12, coronary dominance, GWAS, fetal heart development, mouse model.</p>
<p> Study Highlights:<br />A GWAS of coronary dominance in 61,043 genotyped participants revealed moderate heritability and ten genome-wide significant loci, with the strongest signal near CXCL12 in both European- and African-ancestry groups. Genetic, eQTL, and deep-learning chromatin analyses indicate dominance-associated variants modulate CXCL12 regulatory elements and expression in vascular cell types. Spatial transcriptomics and fetal heart imaging show CXCL12 expression where dominance is established, and Cxcl12 haploinsufficiency in mice shifts septal artery dominance, supporting a causal role. The CXCL12 locus partially colocalizes with coronary artery disease signals, linking developmental patterning to adult disease risk.</p>
<p> Conclusion:<br />Common regulatory variation at the CXCL12 locus influences coronary artery patterning established in fetal development; modulating CXCL12 levels alters artery placement in mice and suggests developmental pathways could be targeted for revascularization.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 8<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- CXCL12 is the top GWAS signal for coronary dominance in EUR and AFR populations.<br />- CXCL12-CXCR4 signaling directs coronary artery development by chemoattraction of CXCR4-expressing pre-artery ECs toward CXCL12.<br />- Noncoding variants near CXCL12 modulate expression, causing reduced CXCL12 signaling and altered coronary patterning.<br />- Cxcl12 haploinsufficiency in mice shifts SpA (septal artery) dominance toward codominance, supporting a causal role for CXCL12 levels in arterial patterning.<br />- Dominance is established during fetal development with CXCL12 expressed in fetal hearts where dominance is set.<br />- Localized CXCL12 delivery could induce collateral arteries in humans, offering a path to medical revascularization, with emphasis on targeted delivery to minimize risks.</p>
<p>QC result: Pass.</p>]]>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Rios Coronado PE et al., Cell - A multi-ancestry GWAS in >61,000 veterans identifies CXCL12 as a top locus influencing whether the right or left coronary tree supplies the posterior heart; fetal expression, spatial transcriptomics, deep-learning regulatory maps, and mouse heterozygous knockdown link CXCL12 regulation to coronary dominance. Key terms: CXCL12, coronary dominance, GWAS, fetal heart development, mouse model.
 Study Highlights:A GWAS of coronary dominance in 61,043 genotyped participants revealed moderate heritability and ten genome-wide significant loci, with the strongest signal near CXCL12 in both European- and African-ancestry groups. Genetic, eQTL, and deep-learning chromatin analyses indicate dominance-associated variants modulate CXCL12 regulatory elements and expression in vascular cell types. Spatial transcriptomics and fetal heart imaging show CXCL12 expression where dominance is established, and Cxcl12 haploinsufficiency in mice shifts septal artery dominance, supporting a causal role. The CXCL12 locus partially colocalizes with coronary artery disease signals, linking developmental patterning to adult disease risk.
 Conclusion:Common regulatory variation at the CXCL12 locus influences coronary artery patterning established in fetal development; modulating CXCL12 levels alters artery placement in mice and suggests developmental pathways could be targeted for revascularization.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 8- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- CXCL12 is the top GWAS signal for coronary dominance in EUR and AFR populations.- CXCL12-CXCR4 signaling directs coronary artery development by chemoattraction of CXCR4-expressing pre-artery ECs toward CXCL12.- Noncoding variants near CXCL12 modulate expression, causing reduced CXCL12 signaling and altered coronary patterning.- Cxcl12 haploinsufficiency in mice shifts SpA (septal artery) dominance toward codominance, supporting a causal role for CXCL12 levels in arterial patterning.- Dominance is established during fetal development with CXCL12 expressed in fetal hearts where dominance is set.- Localized CXCL12 delivery could induce collateral arteries in humans, offering a path to medical revascularization, with emphasis on targeted delivery to minimize risks.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107608/c1a-p6xp7-qdp49krnsnvr-i6yyej.png"></itunes:image>
                                                                            <itunes:duration>00:17:11</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[3: Data-driven heuristics for splice-altering variants]]>
                </title>
                <pubDate>Wed, 16 Apr 2025 09:23:12 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    f33b2723-575c-46ba-8466-8ca6590c2df1</guid>
                                    <link>https://basebybase.castos.com/episodes/heuristics-in-splicing-rethinking-variant-impact-from-the-genome-up</link>
                                <description>
                                            <![CDATA[<p>Sullivan P et al., The American Journal of Human Genetics - A concise walkthrough of data-driven heuristics and a splicing checklist derived from large-scale exon, branchpoint, and experimentally validated variant analyses to improve interpretation of splice-altering variants. Key terms: splicing, splice-altering variants, heuristics, SpliceVarDB, pseudoexon.</p>
<p> Study Highlights:<br />The authors analyzed ~202,000 canonical protein-coding exons and 19,034 experimentally validated branchpoints to define sequence, spacing, and motif-strength requirements for U2 splicing, finding 95.9% of exons met these criteria. Using 11,860 experimentally validated single-nucleotide variants from SpliceVarDB, they derived data-driven heuristics, subgroups, and a spliceogenicity metric to predict whether variants alter splicing. Heuristics were implemented as donor (DD) and acceptor (DA) flowcharts plus an in silico checklist, applied to pseudoexon formation, and used to quantify typical splicing outcomes. The study notes limitations including sparse examples for splicing regulatory elements and context- or tissue-specific effects not fully captured.</p>
<p> Conclusion:<br />Empirically grounded heuristics and a practical checklist bridge biological splicing rules and in silico prediction, improving evaluation of putative splice-altering variants while acknowledging limits from incomplete SRE data and context dependence; ongoing contribution to SpliceVarDB and integration into tools should refine performance.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Data-driven splicing heuristics framework replaces black-box AI for SAV interpretation and uses a transparent checklist grounded in splicing biology.<br />- Minimal splicing requirements were defined from extensive analysis, with 95.9% of exons meeting these criteria.<br />- SpliceVarDB provided data for over 11k experimentally validated SAVs, used to derive heuristics with a minimum threshold of 10 variants per heuristic.<br />- Disruption of donor and acceptor sites is organized into DD and DA flowcharts to classify spliceogenicity, with subgroups.<br />- Splicing outcomes are quantitatively distributed: exon skipping ~51.3%, exon truncation ~36.3%, intron retention ~17.4%, exon extension ~16.2%.<br />- Deep intronic variants can create pseudoexons; the checklist flags 82% of confirmed pseudoexons.</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Sullivan P et al., The American Journal of Human Genetics - A concise walkthrough of data-driven heuristics and a splicing checklist derived from large-scale exon, branchpoint, and experimentally validated variant analyses to improve interpretation of splice-altering variants. Key terms: splicing, splice-altering variants, heuristics, SpliceVarDB, pseudoexon.
 Study Highlights:The authors analyzed ~202,000 canonical protein-coding exons and 19,034 experimentally validated branchpoints to define sequence, spacing, and motif-strength requirements for U2 splicing, finding 95.9% of exons met these criteria. Using 11,860 experimentally validated single-nucleotide variants from SpliceVarDB, they derived data-driven heuristics, subgroups, and a spliceogenicity metric to predict whether variants alter splicing. Heuristics were implemented as donor (DD) and acceptor (DA) flowcharts plus an in silico checklist, applied to pseudoexon formation, and used to quantify typical splicing outcomes. The study notes limitations including sparse examples for splicing regulatory elements and context- or tissue-specific effects not fully captured.
 Conclusion:Empirically grounded heuristics and a practical checklist bridge biological splicing rules and in silico prediction, improving evaluation of putative splice-altering variants while acknowledging limits from incomplete SRE data and context dependence; ongoing contribution to SpliceVarDB and integration into tools should refine performance.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Data-driven splicing heuristics framework replaces black-box AI for SAV interpretation and uses a transparent checklist grounded in splicing biology.- Minimal splicing requirements were defined from extensive analysis, with 95.9% of exons meeting these criteria.- SpliceVarDB provided data for over 11k experimentally validated SAVs, used to derive heuristics with a minimum threshold of 10 variants per heuristic.- Disruption of donor and acceptor sites is organized into DD and DA flowcharts to classify spliceogenicity, with subgroups.- Splicing outcomes are quantitatively distributed: exon skipping ~51.3%, exon truncation ~36.3%, intron retention ~17.4%, exon extension ~16.2%.- Deep intronic variants can create pseudoexons; the checklist flags 82% of confirmed pseudoexons.
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[3: Data-driven heuristics for splice-altering variants]]>
                </itunes:title>
                                    <itunes:episode>3</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Sullivan P et al., The American Journal of Human Genetics - A concise walkthrough of data-driven heuristics and a splicing checklist derived from large-scale exon, branchpoint, and experimentally validated variant analyses to improve interpretation of splice-altering variants. Key terms: splicing, splice-altering variants, heuristics, SpliceVarDB, pseudoexon.</p>
<p> Study Highlights:<br />The authors analyzed ~202,000 canonical protein-coding exons and 19,034 experimentally validated branchpoints to define sequence, spacing, and motif-strength requirements for U2 splicing, finding 95.9% of exons met these criteria. Using 11,860 experimentally validated single-nucleotide variants from SpliceVarDB, they derived data-driven heuristics, subgroups, and a spliceogenicity metric to predict whether variants alter splicing. Heuristics were implemented as donor (DD) and acceptor (DA) flowcharts plus an in silico checklist, applied to pseudoexon formation, and used to quantify typical splicing outcomes. The study notes limitations including sparse examples for splicing regulatory elements and context- or tissue-specific effects not fully captured.</p>
<p> Conclusion:<br />Empirically grounded heuristics and a practical checklist bridge biological splicing rules and in silico prediction, improving evaluation of putative splice-altering variants while acknowledging limits from incomplete SRE data and context dependence; ongoing contribution to SpliceVarDB and integration into tools should refine performance.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 7<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- Data-driven splicing heuristics framework replaces black-box AI for SAV interpretation and uses a transparent checklist grounded in splicing biology.<br />- Minimal splicing requirements were defined from extensive analysis, with 95.9% of exons meeting these criteria.<br />- SpliceVarDB provided data for over 11k experimentally validated SAVs, used to derive heuristics with a minimum threshold of 10 variants per heuristic.<br />- Disruption of donor and acceptor sites is organized into DD and DA flowcharts to classify spliceogenicity, with subgroups.<br />- Splicing outcomes are quantitatively distributed: exon skipping ~51.3%, exon truncation ~36.3%, intron retention ~17.4%, exon extension ~16.2%.<br />- Deep intronic variants can create pseudoexons; the checklist flags 82% of confirmed pseudoexons.</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                        type="audio/mpeg">
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                                <itunes:summary>
                    <![CDATA[Sullivan P et al., The American Journal of Human Genetics - A concise walkthrough of data-driven heuristics and a splicing checklist derived from large-scale exon, branchpoint, and experimentally validated variant analyses to improve interpretation of splice-altering variants. Key terms: splicing, splice-altering variants, heuristics, SpliceVarDB, pseudoexon.
 Study Highlights:The authors analyzed ~202,000 canonical protein-coding exons and 19,034 experimentally validated branchpoints to define sequence, spacing, and motif-strength requirements for U2 splicing, finding 95.9% of exons met these criteria. Using 11,860 experimentally validated single-nucleotide variants from SpliceVarDB, they derived data-driven heuristics, subgroups, and a spliceogenicity metric to predict whether variants alter splicing. Heuristics were implemented as donor (DD) and acceptor (DA) flowcharts plus an in silico checklist, applied to pseudoexon formation, and used to quantify typical splicing outcomes. The study notes limitations including sparse examples for splicing regulatory elements and context- or tissue-specific effects not fully captured.
 Conclusion:Empirically grounded heuristics and a practical checklist bridge biological splicing rules and in silico prediction, improving evaluation of putative splice-altering variants while acknowledging limits from incomplete SRE data and context dependence; ongoing contribution to SpliceVarDB and integration into tools should refine performance.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 7- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- Data-driven splicing heuristics framework replaces black-box AI for SAV interpretation and uses a transparent checklist grounded in splicing biology.- Minimal splicing requirements were defined from extensive analysis, with 95.9% of exons meeting these criteria.- SpliceVarDB provided data for over 11k experimentally validated SAVs, used to derive heuristics with a minimum threshold of 10 variants per heuristic.- Disruption of donor and acceptor sites is organized into DD and DA flowcharts to classify spliceogenicity, with subgroups.- Splicing outcomes are quantitatively distributed: exon skipping ~51.3%, exon truncation ~36.3%, intron retention ~17.4%, exon extension ~16.2%.- Deep intronic variants can create pseudoexons; the checklist flags 82% of confirmed pseudoexons.
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107607/c1a-p6xp7-7z8kd14mt7m6-s1s9mb.png"></itunes:image>
                                                                            <itunes:duration>00:22:42</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[2: Tube additives and cfDNA integrity: why EDTA still leads]]>
                </title>
                <pubDate>Wed, 16 Apr 2025 08:50:16 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    02aba3d3-c772-4e16-8920-248ff4a5130c</guid>
                                    <link>https://basebybase.castos.com/episodes/tube-matters-how-additives-shape-cell-free-dna-stability</link>
                                <description>
                                            <![CDATA[<p>Barra G et al., LabMed (2025) 2, 4 - A comparative study of blood collection tubes (EDTA, citrate, heparin, serum) from 15 healthy volunteers showing how anticoagulants affect baseline cell-free DNA, endogenous DNase activity, and cfDNA degradation over 24 hours at 37°C. Key terms: cell-free DNA, EDTA plasma, heparin plasma, citrate plasma, serum.</p>
<p> Study Highlights:<br />Baseline cfDNA was highest in serum and intermediate in heparin-plasma, while citrate- and EDTA-plasma had similarly low baseline cfDNA. Endogenous DNase activity was highest in heparin-plasma and serum, intermediate in citrate, and effectively inhibited in EDTA. After 24 h at 37°C, cfDNA degradation was greatest in heparin (85.3%) and serum (55.6%), with minimal loss in EDTA (8%) and low loss in citrate (13.3%). These results support EDTA-plasma as the preferred specimen for cfDNA analyses and caution against using heparin or serum.</p>
<p> Conclusion:<br />EDTA-plasma provides strong DNase inhibition and minimal cfDNA degradation and remains the gold standard for cfDNA analysis. Citrate-plasma shows partial DNase inhibition and low gDNA contamination and may be an acceptable alternative when EDTA is unavailable. Heparin-plasma and serum exhibit high DNase activity and substantial cfDNA degradation (plus known PCR inhibition for heparin), making them unsuitable for reliable cfDNA-based diagnostics.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- EDTA-plasma fully inhibits DNase activity and minimizes cfDNA degradation during a 24-hour ex vivo incubation at 37°C.<br />- Serum and heparin-plasma display high DNase activity and substantial cfDNA degradation after 24 h at 37°C (serum 55.6%, heparin 85.3%).<br />- Citrate-plasma shows intermediate DNase activity with 13.3% cfDNA degradation; EDTA shows 8.0% degradation, indicating partial inhibition by citrate and near-complete inhibition by<br />- Baseline cfDNA yields differ by tube type, with serum highest, EDTA and citrate lowest, and heparin intermediate (serum 1473 GE/mL; heparin 472 GE/mL; citrate 147.4 GE/mL; EDTA 154<br />- EDTA is the recommended gold standard for cfDNA analyses; citrate may be a secondary option; heparin and serum are unsuitable due to DNase activity and gDNA contamination.<br />- Baseline cfDNA yields (15 min) GE/mL by tube type</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Barra G et al., LabMed (2025) 2, 4 - A comparative study of blood collection tubes (EDTA, citrate, heparin, serum) from 15 healthy volunteers showing how anticoagulants affect baseline cell-free DNA, endogenous DNase activity, and cfDNA degradation over 24 hours at 37°C. Key terms: cell-free DNA, EDTA plasma, heparin plasma, citrate plasma, serum.
 Study Highlights:Baseline cfDNA was highest in serum and intermediate in heparin-plasma, while citrate- and EDTA-plasma had similarly low baseline cfDNA. Endogenous DNase activity was highest in heparin-plasma and serum, intermediate in citrate, and effectively inhibited in EDTA. After 24 h at 37°C, cfDNA degradation was greatest in heparin (85.3%) and serum (55.6%), with minimal loss in EDTA (8%) and low loss in citrate (13.3%). These results support EDTA-plasma as the preferred specimen for cfDNA analyses and caution against using heparin or serum.
 Conclusion:EDTA-plasma provides strong DNase inhibition and minimal cfDNA degradation and remains the gold standard for cfDNA analysis. Citrate-plasma shows partial DNase inhibition and low gDNA contamination and may be an acceptable alternative when EDTA is unavailable. Heparin-plasma and serum exhibit high DNase activity and substantial cfDNA degradation (plus known PCR inhibition for heparin), making them unsuitable for reliable cfDNA-based diagnostics.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- EDTA-plasma fully inhibits DNase activity and minimizes cfDNA degradation during a 24-hour ex vivo incubation at 37°C.- Serum and heparin-plasma display high DNase activity and substantial cfDNA degradation after 24 h at 37°C (serum 55.6%, heparin 85.3%).- Citrate-plasma shows intermediate DNase activity with 13.3% cfDNA degradation; EDTA shows 8.0% degradation, indicating partial inhibition by citrate and near-complete inhibition by- Baseline cfDNA yields differ by tube type, with serum highest, EDTA and citrate lowest, and heparin intermediate (serum 1473 GE/mL; heparin 472 GE/mL; citrate 147.4 GE/mL; EDTA 154- EDTA is the recommended gold standard for cfDNA analyses; citrate may be a secondary option; heparin and serum are unsuitable due to DNase activity and gDNA contamination.- Baseline cfDNA yields (15 min) GE/mL by tube type
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[2: Tube additives and cfDNA integrity: why EDTA still leads]]>
                </itunes:title>
                                    <itunes:episode>2</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Barra G et al., LabMed (2025) 2, 4 - A comparative study of blood collection tubes (EDTA, citrate, heparin, serum) from 15 healthy volunteers showing how anticoagulants affect baseline cell-free DNA, endogenous DNase activity, and cfDNA degradation over 24 hours at 37°C. Key terms: cell-free DNA, EDTA plasma, heparin plasma, citrate plasma, serum.</p>
<p> Study Highlights:<br />Baseline cfDNA was highest in serum and intermediate in heparin-plasma, while citrate- and EDTA-plasma had similarly low baseline cfDNA. Endogenous DNase activity was highest in heparin-plasma and serum, intermediate in citrate, and effectively inhibited in EDTA. After 24 h at 37°C, cfDNA degradation was greatest in heparin (85.3%) and serum (55.6%), with minimal loss in EDTA (8%) and low loss in citrate (13.3%). These results support EDTA-plasma as the preferred specimen for cfDNA analyses and caution against using heparin or serum.</p>
<p> Conclusion:<br />EDTA-plasma provides strong DNase inhibition and minimal cfDNA degradation and remains the gold standard for cfDNA analysis. Citrate-plasma shows partial DNase inhibition and low gDNA contamination and may be an acceptable alternative when EDTA is unavailable. Heparin-plasma and serum exhibit high DNase activity and substantial cfDNA degradation (plus known PCR inhibition for heparin), making them unsuitable for reliable cfDNA-based diagnostics.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 5<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- EDTA-plasma fully inhibits DNase activity and minimizes cfDNA degradation during a 24-hour ex vivo incubation at 37°C.<br />- Serum and heparin-plasma display high DNase activity and substantial cfDNA degradation after 24 h at 37°C (serum 55.6%, heparin 85.3%).<br />- Citrate-plasma shows intermediate DNase activity with 13.3% cfDNA degradation; EDTA shows 8.0% degradation, indicating partial inhibition by citrate and near-complete inhibition by<br />- Baseline cfDNA yields differ by tube type, with serum highest, EDTA and citrate lowest, and heparin intermediate (serum 1473 GE/mL; heparin 472 GE/mL; citrate 147.4 GE/mL; EDTA 154<br />- EDTA is the recommended gold standard for cfDNA analyses; citrate may be a secondary option; heparin and serum are unsuitable due to DNase activity and gDNA contamination.<br />- Baseline cfDNA yields (15 min) GE/mL by tube type</p>
<p>QC result: Pass.</p>]]>
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                                <itunes:summary>
                    <![CDATA[Barra G et al., LabMed (2025) 2, 4 - A comparative study of blood collection tubes (EDTA, citrate, heparin, serum) from 15 healthy volunteers showing how anticoagulants affect baseline cell-free DNA, endogenous DNase activity, and cfDNA degradation over 24 hours at 37°C. Key terms: cell-free DNA, EDTA plasma, heparin plasma, citrate plasma, serum.
 Study Highlights:Baseline cfDNA was highest in serum and intermediate in heparin-plasma, while citrate- and EDTA-plasma had similarly low baseline cfDNA. Endogenous DNase activity was highest in heparin-plasma and serum, intermediate in citrate, and effectively inhibited in EDTA. After 24 h at 37°C, cfDNA degradation was greatest in heparin (85.3%) and serum (55.6%), with minimal loss in EDTA (8%) and low loss in citrate (13.3%). These results support EDTA-plasma as the preferred specimen for cfDNA analyses and caution against using heparin or serum.
 Conclusion:EDTA-plasma provides strong DNase inhibition and minimal cfDNA degradation and remains the gold standard for cfDNA analysis. Citrate-plasma shows partial DNase inhibition and low gDNA contamination and may be an acceptable alternative when EDTA is unavailable. Heparin-plasma and serum exhibit high DNase activity and substantial cfDNA degradation (plus known PCR inhibition for heparin), making them unsuitable for reliable cfDNA-based diagnostics.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-16.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 5- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- EDTA-plasma fully inhibits DNase activity and minimizes cfDNA degradation during a 24-hour ex vivo incubation at 37°C.- Serum and heparin-plasma display high DNase activity and substantial cfDNA degradation after 24 h at 37°C (serum 55.6%, heparin 85.3%).- Citrate-plasma shows intermediate DNase activity with 13.3% cfDNA degradation; EDTA shows 8.0% degradation, indicating partial inhibition by citrate and near-complete inhibition by- Baseline cfDNA yields differ by tube type, with serum highest, EDTA and citrate lowest, and heparin intermediate (serum 1473 GE/mL; heparin 472 GE/mL; citrate 147.4 GE/mL; EDTA 154- EDTA is the recommended gold standard for cfDNA analyses; citrate may be a secondary option; heparin and serum are unsuitable due to DNase activity and gDNA contamination.- Baseline cfDNA yields (15 min) GE/mL by tube type
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107609/c1a-p6xp7-jpxj514qam83-ptmmkp.png"></itunes:image>
                                                                            <itunes:duration>00:16:23</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
                            </item>
                    <item>
                <title>
                    <![CDATA[1: Structure-Informed Computational Evidence Sharpens BRCA1 Missense Classification]]>
                </title>
                <pubDate>Tue, 15 Apr 2025 21:07:04 +0000</pubDate>
                <dc:creator>Gustavo Barra</dc:creator>
                <guid isPermaLink="false">
                    63b2314e-eaa5-49d3-b5c4-22df78141144</guid>
                                    <link>https://basebybase.castos.com/episodes/structure-informed-scoring-enhancing-brca1-variant-interpretation</link>
                                <description>
                                            <![CDATA[<p>Ramadane-Morchadi L et al., The American Journal of Human Genetics - This episode reviews a study that evaluates how structure-based computational scores (AlphaMissense, FoldX DDG using PDB or AlphaFold2 templates, and RSA) compare with BayesDel for ACMG/AMP PP3/BP4 evidence in classifying BRCA1 missense variants. The authors used MAVE functional data and BRIDGES case-control validation to assess discrimination, evidence strength, and clinical risk association. Findings show AlphaMissense best discriminates functional impact and that combining AlphaMissense with DDG and RSA increases granularity of pathogenicity/benignity evidence. The study highlights that RSA strongly modulates benign evidence and that AlphaFold2 models can serve as DDG templates. Key terms: BRCA1, missense variants, AlphaMissense, DDG, relative solvent accessibility.</p>
<p> Study Highlights:<br />The authors compared AlphaMissense, FoldX DDG (using PDB and AlphaFold2 models), and BayesDel against MAVE functional scores for 1,638 BRCA1 missense variants and validated major findings in the BRIDGES case-control dataset. AlphaMissense achieved the highest auROC and reduced the fraction of variants in an uninformative score range. DDG predictions add mechanistic granularity and, when combined with AlphaMissense and RSA stratification, permit evidence-strength tiers from supporting to strong. Relative solvent accessibility (RSA) strongly influences benignity evidence (BP4), which is provided mainly for buried or partially buried residues.</p>
<p> Conclusion:<br />Incorporating structure-informed metrics—AlphaMissense plus DDG and RSA stratification—into ACMG/AMP PP3/BP4 assessment for BRCA1 missense variants improves discrimination, adds evidence-strength granularity, and better aligns computational codes with clinically actionable risk.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- AlphaMissense provides the best discrimination for BRCA1 missense variants, with auROC about 0.93, outperforming BayesDel (0.90) and DDG.<br />- Combining AlphaMissense with DDG and RSA increases PP3/BP4 evidence granularity (pathogenicity/benignity) beyond single-tool scoring.<br />- BP4 benign evidence is RSA-dependent and is provided primarily for buried/partially buried residues (RSA ≤60%).<br />- AlphaFold2 models can serve as effective templates for FoldX DDG predictions in BRCA1 domains, sometimes substituting experimental PDB templates.<br />- Mutations on surface residues may not receive reliable benign evidence from AlphaMissense or DDG/BayesDel; RSA context is required to interpret BP4 for exposed residues.<br />- BRIDGES data show structurally unstable BRCA1 variants correspond to higher breast cancer risk (OR &gt; 4).</p>
<p>QC result: Pass.</p>]]>
                                    </description>
                <itunes:subtitle>
                    <![CDATA[Ramadane-Morchadi L et al., The American Journal of Human Genetics - This episode reviews a study that evaluates how structure-based computational scores (AlphaMissense, FoldX DDG using PDB or AlphaFold2 templates, and RSA) compare with BayesDel for ACMG/AMP PP3/BP4 evidence in classifying BRCA1 missense variants. The authors used MAVE functional data and BRIDGES case-control validation to assess discrimination, evidence strength, and clinical risk association. Findings show AlphaMissense best discriminates functional impact and that combining AlphaMissense with DDG and RSA increases granularity of pathogenicity/benignity evidence. The study highlights that RSA strongly modulates benign evidence and that AlphaFold2 models can serve as DDG templates. Key terms: BRCA1, missense variants, AlphaMissense, DDG, relative solvent accessibility.
 Study Highlights:The authors compared AlphaMissense, FoldX DDG (using PDB and AlphaFold2 models), and BayesDel against MAVE functional scores for 1,638 BRCA1 missense variants and validated major findings in the BRIDGES case-control dataset. AlphaMissense achieved the highest auROC and reduced the fraction of variants in an uninformative score range. DDG predictions add mechanistic granularity and, when combined with AlphaMissense and RSA stratification, permit evidence-strength tiers from supporting to strong. Relative solvent accessibility (RSA) strongly influences benignity evidence (BP4), which is provided mainly for buried or partially buried residues.
 Conclusion:Incorporating structure-informed metrics—AlphaMissense plus DDG and RSA stratification—into ACMG/AMP PP3/BP4 assessment for BRCA1 missense variants improves discrimination, adds evidence-strength granularity, and better aligns computational codes with clinically actionable risk.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- AlphaMissense provides the best discrimination for BRCA1 missense variants, with auROC about 0.93, outperforming BayesDel (0.90) and DDG.- Combining AlphaMissense with DDG and RSA increases PP3/BP4 evidence granularity (pathogenicity/benignity) beyond single-tool scoring.- BP4 benign evidence is RSA-dependent and is provided primarily for buried/partially buried residues (RSA ≤60%).- AlphaFold2 models can serve as effective templates for FoldX DDG predictions in BRCA1 domains, sometimes substituting experimental PDB templates.- Mutations on surface residues may not receive reliable benign evidence from AlphaMissense or DDG/BayesDel; RSA context is required to interpret BP4 for exposed residues.- BRIDGES data show structurally unstable BRCA1 variants correspond to higher breast cancer risk (OR > 4).
QC result: Pass.]]>
                </itunes:subtitle>
                                    <itunes:episodeType>full</itunes:episodeType>
                                <itunes:title>
                    <![CDATA[1: Structure-Informed Computational Evidence Sharpens BRCA1 Missense Classification]]>
                </itunes:title>
                                    <itunes:episode>1</itunes:episode>
                                                    <itunes:season>1</itunes:season>
                                <itunes:explicit>false</itunes:explicit>
                <content:encoded>
                    <![CDATA[<p>Ramadane-Morchadi L et al., The American Journal of Human Genetics - This episode reviews a study that evaluates how structure-based computational scores (AlphaMissense, FoldX DDG using PDB or AlphaFold2 templates, and RSA) compare with BayesDel for ACMG/AMP PP3/BP4 evidence in classifying BRCA1 missense variants. The authors used MAVE functional data and BRIDGES case-control validation to assess discrimination, evidence strength, and clinical risk association. Findings show AlphaMissense best discriminates functional impact and that combining AlphaMissense with DDG and RSA increases granularity of pathogenicity/benignity evidence. The study highlights that RSA strongly modulates benign evidence and that AlphaFold2 models can serve as DDG templates. Key terms: BRCA1, missense variants, AlphaMissense, DDG, relative solvent accessibility.</p>
<p> Study Highlights:<br />The authors compared AlphaMissense, FoldX DDG (using PDB and AlphaFold2 models), and BayesDel against MAVE functional scores for 1,638 BRCA1 missense variants and validated major findings in the BRIDGES case-control dataset. AlphaMissense achieved the highest auROC and reduced the fraction of variants in an uninformative score range. DDG predictions add mechanistic granularity and, when combined with AlphaMissense and RSA stratification, permit evidence-strength tiers from supporting to strong. Relative solvent accessibility (RSA) strongly influences benignity evidence (BP4), which is provided mainly for buried or partially buried residues.</p>
<p> Conclusion:<br />Incorporating structure-informed metrics—AlphaMissense plus DDG and RSA stratification—into ACMG/AMP PP3/BP4 assessment for BRCA1 missense variants improves discrimination, adds evidence-strength granularity, and better aligns computational codes with clinically actionable risk.</p>
<p> QC:<br />This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-15.</p>
<p>QC Scope:<br />- article metadata and core scientific claims from the narration<br />- excludes analogies, intro/outro, and music</p>
<p>QC Summary:<br />- factual score: 10/10<br />- metadata score: 10/10<br />- supported core claims: 6<br />- claims flagged for review: 0<br />- metadata checks passed: 4<br />- metadata issues found: 0</p>
<p>Metadata Audited:<br />- article_doi<br />- article_title<br />- article_journal<br />- license</p>
<p>Factual Items Audited:<br />- AlphaMissense provides the best discrimination for BRCA1 missense variants, with auROC about 0.93, outperforming BayesDel (0.90) and DDG.<br />- Combining AlphaMissense with DDG and RSA increases PP3/BP4 evidence granularity (pathogenicity/benignity) beyond single-tool scoring.<br />- BP4 benign evidence is RSA-dependent and is provided primarily for buried/partially buried residues (RSA ≤60%).<br />- AlphaFold2 models can serve as effective templates for FoldX DDG predictions in BRCA1 domains, sometimes substituting experimental PDB templates.<br />- Mutations on surface residues may not receive reliable benign evidence from AlphaMissense or DDG/BayesDel; RSA context is required to interpret BP4 for exposed residues.<br />- BRIDGES data show structurally unstable BRCA1 variants correspond to higher breast cancer risk (OR &gt; 4).</p>
<p>QC result: Pass.</p>]]>
                </content:encoded>
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                                <itunes:summary>
                    <![CDATA[Ramadane-Morchadi L et al., The American Journal of Human Genetics - This episode reviews a study that evaluates how structure-based computational scores (AlphaMissense, FoldX DDG using PDB or AlphaFold2 templates, and RSA) compare with BayesDel for ACMG/AMP PP3/BP4 evidence in classifying BRCA1 missense variants. The authors used MAVE functional data and BRIDGES case-control validation to assess discrimination, evidence strength, and clinical risk association. Findings show AlphaMissense best discriminates functional impact and that combining AlphaMissense with DDG and RSA increases granularity of pathogenicity/benignity evidence. The study highlights that RSA strongly modulates benign evidence and that AlphaFold2 models can serve as DDG templates. Key terms: BRCA1, missense variants, AlphaMissense, DDG, relative solvent accessibility.
 Study Highlights:The authors compared AlphaMissense, FoldX DDG (using PDB and AlphaFold2 models), and BayesDel against MAVE functional scores for 1,638 BRCA1 missense variants and validated major findings in the BRIDGES case-control dataset. AlphaMissense achieved the highest auROC and reduced the fraction of variants in an uninformative score range. DDG predictions add mechanistic granularity and, when combined with AlphaMissense and RSA stratification, permit evidence-strength tiers from supporting to strong. Relative solvent accessibility (RSA) strongly influences benignity evidence (BP4), which is provided mainly for buried or partially buried residues.
 Conclusion:Incorporating structure-informed metrics—AlphaMissense plus DDG and RSA stratification—into ACMG/AMP PP3/BP4 assessment for BRCA1 missense variants improves discrimination, adds evidence-strength granularity, and better aligns computational codes with clinically actionable risk.
 QC:This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-04-15.
QC Scope:- article metadata and core scientific claims from the narration- excludes analogies, intro/outro, and music
QC Summary:- factual score: 10/10- metadata score: 10/10- supported core claims: 6- claims flagged for review: 0- metadata checks passed: 4- metadata issues found: 0
Metadata Audited:- article_doi- article_title- article_journal- license
Factual Items Audited:- AlphaMissense provides the best discrimination for BRCA1 missense variants, with auROC about 0.93, outperforming BayesDel (0.90) and DDG.- Combining AlphaMissense with DDG and RSA increases PP3/BP4 evidence granularity (pathogenicity/benignity) beyond single-tool scoring.- BP4 benign evidence is RSA-dependent and is provided primarily for buried/partially buried residues (RSA ≤60%).- AlphaFold2 models can serve as effective templates for FoldX DDG predictions in BRCA1 domains, sometimes substituting experimental PDB templates.- Mutations on surface residues may not receive reliable benign evidence from AlphaMissense or DDG/BayesDel; RSA context is required to interpret BP4 for exposed residues.- BRIDGES data show structurally unstable BRCA1 variants correspond to higher breast cancer risk (OR > 4).
QC result: Pass.]]>
                </itunes:summary>
                                    <itunes:image href="https://episodes.castos.com/6857d0f4a3b5e4-25951952/images/2107610/c1a-p6xp7-z319vgz9f57q-huyn2x.png"></itunes:image>
                                                                            <itunes:duration>00:20:25</itunes:duration>
                                                    <itunes:author>
                    <![CDATA[Gustavo Barra]]>
                </itunes:author>
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