Base by Base

Gustavo Barra
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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.

  1. há 5 dias

    475: A Cell Line Fitness Score Predicts Cancer Risk in Li-Fraumeni Syndrome

    Penkert J et al., The American Journal of Human Genetics - Carriers of disease-causing TP53 variants range from mild to severe cancer phenotypes. Using relative fitness scores from a deep CRISPR mutagenesis screen of 9,225 TP53 mutations, this registry study of 437 individuals from 168 families shows that variants scoring 0.673 or higher go with earlier cancer and with full Li-Fraumeni syndrome. Key terms: Li-Fraumeni syndrome, TP53, deep CRISPR mutagenesis, relative fitness score, cancer surveillance. Study Highlights: A previous screen introduced 9,225 TP53 mutations into a colorectal cancer cell line and scored how well each mutant survived TP53 activators, giving a relative fitness score (RFS). The authors linked these scores to 437 individuals from 168 families in the German Cancer Predisposition Syndrome Registry. Carriers of variants with an RFS of 0.673 or higher developed cancer earlier; an RFS below 0.673 had a hazard ratio of 0.41 (95% CI 0.25 to 0.66, p 0.0002) for cancer. The association held among the 407 individuals whose variant is predicted to produce an altered protein, excluding NULL variants (hazard ratio 0.43). Families with a high score met the definition of Li-Fraumeni syndrome in 110 of 148 cases (74.3%), against 3 of 20 (15%) with a low score. Conclusion: Relative fitness scores from deep CRISPR mutagenesis separated TP53 variant carriers with earlier cancer and more severe Li-Fraumeni spectrum phenotypes, which suggests they could feed future variant classification and tailored surveillance. The finding was not validated in an independent cohort, the scores come from a single colorectal cell line, and they exist only for variants in the DNA binding domain. Article title: Deep CRISPR mutagenesis predicts cancer risk in Li-Fraumeni syndrome First author: Penkert J Journal: The American Journal of Human Genetics DOI: 10.1016/j.ajhg.2026.09.016 Reference: Penkert J., Großhennig A., Dutzmann C.M., Ewert A., Zimmer R., Schoene-Bake J., et al. Deep CRISPR mutagenesis predicts cancer risk in Li-Fraumeni syndrome. The American Journal of Human Genetics. (2026). https://doi.org/10.1016/j.ajhg.2026.09.016 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: Base by Base is independent and ad-free — no sponsors, no paywall. If an episode was worth your time, chip in and keep the papers audited and the original songs coming: ❤️ Support monthly: https://buy.stripe.com/cNifZhclVebvagk2JDgEg01 ☕ One-time donation: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00 ▶️ Watch with chapters on YouTube: https://www.youtube.com/@basebybase More at basebybase.com On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics. Episode link: https://basebybase.com/episodes/crispr-fitness-score-cancer-risk-li-fraumeni QC: This episode's script was checked sentence by sentence against the full text of the original article, by an automated process with human review, before it was recorded. QC Summary: - sentences checked: 88 - supported by the article: 87 - flagged and reviewed by a human: 1 - metadata checks passed: 4 of 4 QC result: Pass. Chapters (00:00:03) - Introduction: TP53 Variants and Li Fraumeni Syndrome(00:01:09) - About This Podcast(00:01:31) - Study Background and Authors(00:02:00) - TP53 Gene Function and Disease Spectrum(00:02:34) - Classifying Full vs Attenuated Li Fraumeni Syndrome(00:03:09) - Measuring Variant Disruption via Deep CRISPR Mutagenesis(00:04:49) - Patient Cohort and Fitness Score Analysis(00:05:30) - Survival Differences by Score Cutoff(00:06:28) - Testing Robustness: Excluding Null Variants(00:07:03) - Family-Level Severity Predictions(00:08:15) - Study Limitations(00:08:47) - Conclusions and Future Implications(00:09:24) - Closing and Credits

  2. há 6 dias

    474: Two collagen genes, two different risks

    Tzoumkas K et al., The American Journal of Human Genetics - COL4A3 and COL4A4 are paralogous genes that build the same collagen IV network in the kidney filter, and variant guidelines have generally treated them as interchangeable. This episode follows a population-scale study in the UK Biobank, replicated in All of Us, showing that truncating and NC1 domain missense variants carry much stronger associations with hematuria and proteinuria in COL4A4 than in COL4A3, while glycine substitutions behave alike in both genes. Key terms: COL4A3, COL4A4, Alport syndrome, hematuria, UK Biobank. Study Highlights: Using whole-genome sequencing from the UK Biobank (n ≈ 500,000) with replication in All of Us (n ≈ 414,000), the authors ran per-variant association tests, gene-based collapsing analyses and phenome-wide association studies across hematuria, proteinuria and chronic kidney disease. They identified 64 COL4A3 and 92 COL4A4 rare variants significantly associated with hematuria or proteinuria. Glycine substitutions in the collagenous domain conferred similar risks in both genes, but truncating and NC1 missense variants were strongly associated with disease only in COL4A4, with proteinuria case rates of 52.7% and 37.2% in COL4A4 compared with 17.1% and 12.1% in COL4A3. The difference persisted after excluding the British founder variant p.Ser969Ter and was independently replicated in All of Us. A genome-wide analysis found the COL4A3 and COL4A4 locus to be the dominant genetic signal for hematuria, accounted for by rare coding variants, with no evidence of independent trans-acting modifiers. Conclusion: The authors conclude that gene identity, not variant class alone, should inform risk stratification, variant interpretation and genetic counseling in collagen IV heterozygotes. The analyses were restricted to individuals of European ancestry, phenotypes came from ICD-10 codes and laboratory data that likely underestimate prevalence, the difference was not extended to severe CKD, and the mechanism behind the gene-specific effect remains speculative. Article title: Population-scale genomics reveals divergent pathogenicity of variant classes across paralogous collagen IV genes First author: Tzoumkas K Journal: The American Journal of Human Genetics DOI: 10.1016/j.ajhg.2026.10.002 Reference: Tzoumkas K., Doctor G.T., Sadeghi-Alavijeh O., Gale D.P. Population-scale genomics reveals divergent pathogenicity of variant classes across paralogous collagen IV genes. The American Journal of Human Genetics. (2026). https://doi.org/10.1016/j.ajhg.2026.10.002 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 is independent and ad-free — no sponsors, no paywall. If an episode was worth your time, chip in and keep the papers audited and the original songs coming: ❤️ Support monthly: https://buy.stripe.com/cNifZhclVebvagk2JDgEg01 ☕ One-time donation: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00 ▶️ Watch with chapters on YouTube: https://www.youtube.com/@basebybase More at basebybase.com On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics. Episode link: https://basebybase.com/episodes/col4a3-col4a4-divergent-pathogenicity QC: This episode's script was checked sentence by sentence against the full text of the original article, by an automated process with human review, before it was recorded. QC Summary: - sentences checked: 175 - supported by the article: 174 - flagged and reviewed by a human: 1 - metadata checks passed: 4 of 4 QC result: Pass. Chapters (00:00:03) - Introduction: Two Collagen Genes, One Question(00:00:39) - About Base by Base(00:01:00) - Type 4 Collagen Genes and Alport Syndrome(00:02:50) - Forms of Alport Syndrome and Heterozygote Risk(00:04:07) - Protein Structure and Variant Classes(00:05:03) - Testing the Paralogue Assumption at Population Scale(00:06:02) - Study Data: UK Biobank and Phenotype Definitions(00:07:16) - Three Levels of Analysis Design(00:09:05) - Single Variant Results for Hematuria and Proteinuria(00:10:29) - Gene Divergence Emerges: Truncating Variants(00:11:37) - Testing the Founder Variant's Influence(00:12:20) - NC1 Missense Variants Confirm the Pattern(00:13:03) - Formal Comparison of Effect Sizes(00:13:47) - Replication in All of Us Cohort(00:14:31) - Genome-Wide Scan Findings(00:15:17) - Interpreting the Genome-Wide Signal(00:15:53) - Clinical Implications for Genetic Counseling(00:16:34) - Why Might the Chains Differ?(00:17:14) - Study Limitations(00:17:54) - Summary and Closing Thoughts(00:19:06) - Credits and Sign-off

  3. 3 de nov.

    473: Sixty years of cells that stop dividing

    Klaver M et al., The EMBO Journal - In 1961, Hayflick and Moorhead showed that normal human fibroblasts divide only a finite number of times. This episode follows a review of the six decades since, as senescence moved from a cell-culture limit to a tumor-suppressive stress response, a tissue-remodeling program, a contributor to aging and disease, and a target for therapy. Key terms: cellular senescence, SASP, senolytics, senomorphics, aging. Study Highlights: This review traces cellular senescence from the Hayflick limit of 1961 through telomere shortening, biomarkers and oncogene-induced senescence. The senescence-associated secretory phenotype revealed that senescent cells actively communicate with their tissues, and later work showed there is no single universal SASP. Genetic ablation in mice showed that senescent cells can contribute causally to age-related decline, while other studies showed roles in wound healing, development and tissue repair, and one p16-lineage study reported detrimental effects on the liver. Senolytics such as dasatinib plus quercetin and senomorphics followed, but UBX0101 failed to show significant benefit in Phase 2 and UBX1325 missed its Phase 2b primary endpoint. The authors identify the lack of validated biomarkers of target engagement as the major bottleneck in clinical senotherapy. Conclusion: The authors conclude that senescence is neither inherently beneficial nor inherently detrimental, and that its consequences depend on context, which senescent cells are involved, and how long they persist. This is a narrative review, not a new experiment, and much of the causal evidence comes from mouse models, with human trials so far early, limited by size or design, or unsuccessful. Article title: Cellular senescence: six decades of discovery and reinvention First author: Klaver M Journal: The EMBO Journal DOI: 10.1038/s44318-026-00922-w Reference: Klaver M., Steeneken L.S., Veeningen N., Altulea A., Demaria M. Cellular senescence: six decades of discovery and reinvention. The EMBO Journal, 45, 7307-7325. (2026). https://doi.org/10.1038/s44318-026-00922-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 is independent and ad-free — no sponsors, no paywall. If an episode was worth your time, chip in and keep the papers audited and the original songs coming: ❤️ Support monthly: https://buy.stripe.com/cNifZhclVebvagk2JDgEg01 ☕ One-time donation: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00 ▶️ Watch with chapters on YouTube: https://www.youtube.com/@basebybase More at basebybase.com On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics. Episode link: https://basebybase.com/episodes/cellular-senescence-six-decades-review QC: This episode's script was checked sentence by sentence against the full text of the original article, by an automated process with human review, before it was recorded. QC Summary: - sentences checked: 183 - supported by the article: 182 - flagged and reviewed by a human: 1 - metadata checks passed: 4 of 4 QC result: Pass. Chapters (00:00:03) - Introduction: The Hayflick Discovery(00:00:44) - About This Episode and Paper(00:02:30) - Telomere Shortening as a Mechanism(00:03:11) - Finding Markers for Senescence in Tissue(00:03:58) - Oncogene-Induced Senescence and Tumor Suppression(00:04:41) - Multiplying Triggers of Senescence(00:05:29) - Discovery of the SASP Secretory Phenotype(00:06:18) - Complexity and Diversity of SASP Programs(00:07:08) - Testing Causality: Senescent Cell Clearance Models(00:08:25) - Beneficial Roles in Healing and Repair(00:09:00) - Developmental Senescence Discovery(00:10:12) - Senescence and the Aging Hallmarks Framework(00:10:51) - The Persistence Paradox and Disease Links(00:11:37) - Immune Clearance of Senescent Cells(00:12:37) - Immune Evasion and Immunosenescence(00:13:08) - Senolytics: Targeting Senescent Cells(00:13:59) - Senomorphics: Suppressing the SASP(00:14:47) - Early Human Clinical Trials(00:15:32) - Clinical Setbacks and Failures(00:16:16) - The Biomarker Bottleneck(00:17:04) - Toward Precision Senescence Targeting(00:17:51) - Conclusion: Context-Dependent Senescence(00:18:28) - Future Directions and Closing Thoughts

  4. 2 de nov.

    472: 490,319 genomes that fill the gaps in genetic studies

    Wienbrandt L et al., Nature Genetics - Most genetic studies read only a fraction of the genome and infer the rest from a reference panel. This episode covers a new panel built from whole-genome sequencing of 490,319 UK Biobank participants, benchmarked against the TOPMed r3 panel across 35 datasets and used to reanalyze COVID-19 association studies from four European countries. Key terms: genotype imputation, haplotype reference panel, UK Biobank, EagleImp, COVID-19 GWAS. Study Highlights: Researchers phased whole-genome data from 490,319 UK Biobank participants into reference panels of more than 361 million variants and extended EagleImp to run on a standalone server and inside the UK Biobank Research Analysis Platform. Compared with the TOPMed r3 panel of 133,597 individuals, the UK Biobank panel achieved lower phasing switch error rates for all superpopulations except AMR and for 25 of 26 1000 Genomes subpopulations. Mean absolute error improved for 4 of 5 superpopulations and 12 subpopulations, while TOPMed performed better across all frequency categories in AFR. Estimated R2 improved across all 5 superpopulations and 22 subpopulations for variants down to 0.01% frequency, with the largest gain, +24.39%, in East Asian samples. Reimputing an Italian severe COVID-19 study of 835 cases and 1,255 controls yielded a genome-wide significant association at 3p21.31 and a new lead SNP, rs73064425, that matched three independent studies. Conclusion: The authors conclude that the UK Biobank panel is the most suitable panel for imputing worldwide populations when no population-specific panel is available, and that common-variant imputation is not yet saturated in the European populations tested. The benchmark has limits: estimated imputation R2 stays low for most subpopulations below 0.01% frequency, truth-based measures may be inaccurate at low frequencies, and TOPMed r3 still performed better in AFR on mean absolute error and holds more panel-specific variants. Article title: A haplotype reference panel constructed from 490,319 UK Biobank genomes improves genotype imputation for global populations First author: Wienbrandt L Journal: Nature Genetics DOI: 10.1038/s41588-026-02819-0 Reference: Wienbrandt L., Prieß C., Schmöhl M., Neff V., Gretsova M., Torres G., et al. A haplotype reference panel constructed from 490,319 UK Biobank genomes improves genotype imputation for global populations. Nature Genetics. (2026). https://doi.org/10.1038/s41588-026-02819-0 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 is independent and ad-free — no sponsors, no paywall. If an episode was worth your time, chip in and keep the papers audited and the original songs coming: ❤️ Support monthly: https://buy.stripe.com/cNifZhclVebvagk2JDgEg01 ☕ One-time donation: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00 ▶️ Watch with chapters on YouTube: https://www.youtube.com/@basebybase More at basebybase.com On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics. Episode link: https://basebybase.com/episodes/uk-biobank-haplotype-reference-panel-imputation QC: This episode's script was checked sentence by sentence against the full text of the original article, by an automated process with human review, before it was recorded. QC Summary: - sentences checked: 176 - supported by the article: 143 - flagged and reviewed by a human: 33 - metadata checks passed: 4 of 4 QC result: Warn. Chapters (00:00:03) - The Restorer Analogy: Imputation Explained(00:01:03) - Genotyping Chips and the Need for Imputation(00:02:16) - Introducing the Study and Its Authors(00:02:55) - What Haplotypes Are and How Imputation Works(00:03:44) - Limits of Existing Panels: Access and Scale(00:04:37) - Is Imputation Already Saturated?(00:05:20) - Building the UK Biobank Panel(00:06:38) - Creating the Lighter Panel and Software Tools(00:07:11) - Designing the Benchmark(00:08:39) - Phasing Results: UK Biobank vs TopMed(00:09:49) - Checking Against Known Truth: Mixed Results(00:10:38) - Testing on Real GWAS Datasets(00:11:14) - Speed and Efficiency Gains(00:11:52) - The Italian COVID-19 Case Study(00:13:12) - Fine-Mapping the Causal Variant(00:13:53) - Revisiting the Saturation Question(00:14:58) - Limitations of the Study(00:15:35) - Remaining Gaps and Future Directions(00:16:12) - Conclusion: What the Bigger Archive Reveals

  5. 30 de out.

    471: How cancer treatment picks winners among mutant clones in the normal esophagus

    Fowler J et al., Nature Genetics - Normal esophageal lining is a patchwork of mutant clones that compete for space as we age. This study asked whether cancer treatment changes which of those clones win. Normal esophagus removed at surgery from 70 patients with esophageal cancer, who had received no treatment, combination chemotherapy (ECX, EOX or FLOT) or chemoradiation (CROSS), was analyzed with duplex (NanoSeq), whole-genome and targeted sequencing, alongside protein structure modeling and a CRISPR experiment in mouse esophageal cultures. Key terms: somatic mutation, clonal selection, esophagus, chemoradiation, TP53. Study Highlights: Targeted sequencing of 1,995 samples of 2 mm2 across 324 cancer-associated genes found 23,692 independent mutations, and no chemotherapy mutational signature was detected, suggesting most clones existed before treatment. In patients given CROSS, the proportion of epithelium mutant for TP53 and PPM1D was double that of the other groups, their mutational burden and deletion burden were higher, and over 5% of samples carried a copy number event covering the TP53 locus. HLA-B and SPOP mutants were selected only in CROSS patients, with 13 of 22 HLA-B nonsynonymous mutations predicted to abolish the protein. RAC1, NFE2L2 and MTOR mutants were under positive selection only in the FLOT group, the only regimen giving 5-fluorouracil together with leucovorin, and structural modeling suggested the MTOR mutants would likely remain sensitive to rapalogs. In mouse esophageal cultures, guide RNAs targeting exon 6 of Ppm1d were enriched after irradiation but not after 5-fluorouracil. Conclusion: Weeks of neoadjuvant treatment can reshape a mutational landscape built over decades, selectively expanding preexisting mutant clones in a treatment-specific way, which may point to genes involved in cellular resilience to therapy. The groups were small (FLOT had seven patients), exposure data were limited, the mouse experiment did not test the full CROSS combination, the selection of MTOR, RAC1 and NFE2L2 mutants by 5-fluorouracil is inferred rather than tested, and selection in normal tissue cannot be assumed to match selection in cancer cells. Article title: Cancer treatment alters mutant selection in normal esophagus First author: Fowler J Journal: Nature Genetics DOI: 10.1038/s41588-026-02738-0 Reference: Fowler J.C., Arbore G., Sood R.K., Abnizova I., Albarello L., Pickering O., et al. Cancer treatment alters mutant selection in normal esophagus. Nature Genetics, 58, 2566-2578. (2026). https://doi.org/10.1038/s41588-026-02738-0 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 is independent and ad-free — no sponsors, no paywall. If an episode was worth your time, chip in and keep the papers audited and the original songs coming: ❤️ Support monthly: https://buy.stripe.com/cNifZhclVebvagk2JDgEg01 ☕ One-time donation: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00 ▶️ Watch with chapters on YouTube: https://www.youtube.com/@basebybase More at basebybase.com On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics. Episode link: https://basebybase.com/episodes/cancer-treatment-mutant-selection-normal-esophagus QC: This episode's script was checked sentence by sentence against the full text of the original article, by an automated process with human review, before it was recorded. QC Summary: - sentences checked: 171 - supported by the article: 167 - flagged and reviewed by a human: 4 - metadata checks passed: 4 of 4 QC result: Pass. Chapters (00:00:03) - The Forest Fire Analogy: Introduction(00:00:37) - Introducing Base by Base and the Paper(00:00:58) - Mutant Clones in the Aging Esophagus(00:01:29) - The Research Question and Team(00:02:21) - Treatment Regimens: Chemotherapy and CROSS(00:03:04) - The Study Opportunity at Surgery(00:03:44) - Mutational Signatures Explained(00:04:23) - Patient Cohort and Tissue Sampling(00:05:07) - Sequencing Methods: Mapping the Clones(00:06:16) - Measuring Selection in Genes(00:06:49) - Protein Structure Modeling and Lab Tests(00:07:23) - No Treatment-Specific Mutational Signature Found(00:07:50) - CROSS Group Stands Out: Mutation Load(00:09:01) - PPM1D Mutations and Radiation Resistance(00:10:07) - Chromosome 17 and TP53 Disruption in CROSS(00:10:41) - HLA-B and SPOP Selection in CROSS Patients(00:11:15) - FLOT-Selected Genes: NFE2L2, RAC1, MTOR(00:12:25) - RAC1 and MTOR Mechanisms in FLOT(00:13:44) - Interpreting the Findings: Speed of Change(00:14:16) - Why TP53 Results Matter for Cancer Risk(00:14:57) - The FLOT Question: Resistance Implications(00:15:34) - Study Limitations(00:16:12) - Summary: Different Fires, Different Winners(00:16:50) - Closing Thoughts and Credits

  6. 29 de out.

    470: The hidden swaps CRISPR leaves between sister chromosomes

    Chovanec P et al., eLife - When CRISPR/Cas9 cuts DNA, editing is usually judged by the small insertions and deletions left at the break. But a cut can also be repaired by swapping DNA between the two identical sister chromatids, an exchange that leaves no sequence change and is invisible to standard sequencing. Using sci-L3-Strand-seq, a single-cell method that reads which parental template strand each daughter cell inherited, this study mapped Cas9-induced sister chromatid exchange (SCE) in human cells, after cutting either one unique site or 237 repetitive Alu sites at once. Key terms: CRISPR/Cas9, sister chromatid exchange, Strand-seq, DNA double-strand break repair, structural variants. Study Highlights: Duplex Cas9 cleavage at a single site or at 237 repetitive targets caused a pronounced G1/S arrest within 24 hr, while the D10A and H840A nickases did not measurably perturb cell-cycle progression after washout. Cutting a unique locus strongly enriched SCE at the break site, reaching 41% in the same cell cycle and 17% in the subsequent division. Across all cells, cutting 237 Alu sites gave only mild on-target enrichment, 1.20-fold in the post-washout condition (n=2547 cells), but a high-SCE subset of 261 cells showed 1.39-fold enrichment with an average of 14.61 on-target SCEs per cell. Reciprocal daughter-cell pair analysis found that 14 of 50 Cas9-induced SCE events were coupled with structural variants, in contrast to 87 of 87 spontaneous SCEs in XRCC1-null cells that were reciprocal and copy-neutral in a companion study. Cutting inside LIG3, LIG4, XRCC1 and XRCC4 did not change genome-wide SCE counts, with a median of three SCEs per cell in all four conditions, consistent with delayed functional loss after editing. Conclusion: Cas9-induced double-strand breaks are potent local triggers of sister chromatid exchange, and a measurable fraction of these exchanges carries structural alterations that conventional sequencing cannot see, so they do not universally reflect error-free homologous recombination. All experiments were done in wild-type cells, Cas9 can cut the same site several times so individual outcomes cannot be tied to a single cleavage event, and the deletion signature pointing to a TRAIP/under-replicated-region pathway rests on a single daughter-cell pair. Article title: Genome-wide mapping of Cas9-induced sister chromatid exchange across single and over 200 genomic sites in human cells First author: Chovanec P Journal: eLife DOI: 10.7554/eLife.112073 Reference: Chovanec P., He S., Yin Y. Genome-wide mapping of Cas9-induced sister chromatid exchange across single and over 200 genomic sites in human cells. eLife, 15. (2026). https://doi.org/10.7554/eLife.112073 License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/ Support: Base by Base is independent and ad-free — no sponsors, no paywall. If an episode was worth your time, chip in and keep the papers audited and the original songs coming: ❤️ Support monthly: https://buy.stripe.com/cNifZhclVebvagk2JDgEg01 ☕ One-time donation: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00 ▶️ Watch with chapters on YouTube: https://www.youtube.com/@basebybase More at basebybase.com On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics. Episode link: https://basebybase.com/episodes/cas9-sister-chromatid-exchange-strand-seq QC: This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-10-29. QC Scope: - article metadata and core scientific claims from the narration - excludes analogies, intro/outro, and music - transcript... Chapters (00:00:03) - The Deck of Cards Analogy(00:00:41) - Intro and Fact-Check Note(00:01:02) - Sister Chromatids and Silent Swaps(00:01:33) - Cas9 Scissors and Hidden Repairs(00:02:08) - Paper Introduction(00:02:44) - How Cas9 Cuts Are Normally Repaired(00:03:24) - Bigger Damage Beyond Small Edits(00:03:57) - Defining Sister Chromatid Exchange(00:04:17) - Four Broken Ends and Open Questions(00:05:28) - Strand-Seq: Reading the Backs of the Cards(00:06:37) - Experimental Design and Guides(00:07:46) - Cell Cycle Arrest Findings(00:08:22) - Exchanges Pile Up at the Cut Site(00:08:53) - Interpreting the 41% Exchange Rate(00:10:02) - Checking Repair Gene Targets(00:10:34) - Cutting 237 Sites at Once(00:11:11) - High-Exchange Cell Subsets(00:12:22) - Reciprocal Daughter Pairs and Clean Trades(00:12:53) - When Trades Aren't Clean(00:13:24) - Rethinking How We Judge Edits(00:14:00) - Isochromatid Breaks and Mechanism(00:14:59) - Caveats on Causation and Single Observations(00:15:55) - Conclusions and Implications(00:16:51) - Closing and Credits

  7. 27 de out.

    469: What the shape of a face reveals about cleft risk

    Herrick N et al., Human Genetics and Genomics Advances - Orofacial clefts are among the most common birth defects, affecting about 1 in 700 births, yet known genetic signals explain only a fraction of their heritability, and cleft studies cannot reach the huge sample sizes used for traits like height. This study borrowed statistical power from a related trait: the genetics of normal human face shape. Using a pleiotropy-informed method called conditional false discovery rate, the team re-analyzed an existing GWAS of nonsyndromic cleft lip with or without cleft palate and found new candidate risk loci, three of which passed a 5% FDR threshold in an independent replication cohort. Key terms: orofacial cleft, facial shape, GWAS, conditional false discovery rate, pleiotropy. Study Highlights: The team conditioned summary statistics from a European nsCL/P GWAS of 3,969 individuals on two independent facial shape GWASs, from 4,680 US and 3,566 UK individuals. SNPs associated with nsCL/P were enriched among SNPs associated with facial shape but not among those for unrelated traits such as height, schizophrenia or LDL cholesterol. The cFDR approach identified 21 independent loci at a 5% threshold and 15 more at 10%, and the new loci had effect sizes comparable to known ones, with no significant difference in a Mann-Whitney U test (p = 0.26). Of 13 new lead SNPs tested in The Cleft Collective cohort of 1,084 affected individuals and 7,913 controls, five replicated at p 0.05, and loci near MSX2, ASPSCR1 and FHOD3 passed a 5% FDR threshold. Spatial transcriptomics of a Carnegie stage 13 human embryo showed expression and gene specificity scores for these genes in the pharyngeal arches, among other regions. Conclusion: Leveraging the shared genetics of face shape and clefting can recover cleft risk loci that a standard GWAS of the same data misses, and it supports the long-standing idea that embryonic face shape is itself part of cleft risk. The analysis is limited to people of European ancestry, the authors expect about 10% of the 36 loci to be false positives, not every new locus replicated, and the expression data support but do not prove a role for the candidate genes. Article title: Leveraging the genetics of human face shape boosts the discovery of orofacial cleft risk loci First author: Herrick N Journal: Human Genetics and Genomics Advances DOI: 10.1016/j.xhgg.2026.100655 Reference: Herrick N., Goovaerts S., Manchel A., Lee M.K., Zhang X., Davies A., et al. Leveraging the genetics of human face shape boosts the discovery of orofacial cleft risk loci. Human Genetics and Genomics Advances, 7, 100655. (2026). https://doi.org/10.1016/j.xhgg.2026.100655 License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/ Support: Base by Base is independent and ad-free — no sponsors, no paywall. If an episode was worth your time, chip in and keep the papers audited and the original songs coming: ❤️ Support monthly: https://buy.stripe.com/cNifZhclVebvagk2JDgEg01 ☕ One-time donation: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00 ▶️ Watch with chapters on YouTube: https://www.youtube.com/@basebybase More at basebybase.com On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics. Episode link: https://basebybase.com/episodes/face-shape-genetics-orofacial-cleft-risk-loci QC: This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-10-27. QC Scope: - article metadata and core scientific claims from the narration - excludes analogies, intro/outro, and music - transcript coverage: All scientific... Chapters (00:00:03) - Introduction: Face Shape and Clefts(00:01:21) - The Study and Researchers(00:02:18) - Background on Orofacial Clefts(00:03:28) - The Face-Cleft Genetic Link Hypothesis(00:04:46) - The CFDR Method Explained(00:05:21) - Study Data and Controls(00:07:01) - Analysis Details and Validation Approach(00:07:41) - Results: Face Shape as a Predictive Map(00:08:17) - Main Findings: New Cleft Loci Discovered(00:08:49) - Comparing US and UK Cohorts(00:09:23) - Are New Loci Real? Effect Size Check(00:09:56) - Replication in the Cleft Collective Cohort(00:11:06) - Regional Plots of Three Candidate Genes(00:11:36) - Gene Expression in the Embryo(00:12:41) - Spatial Genetic Risk Mapping (GSMap)(00:13:17) - MSX2: A Known Suspect Confirmed(00:13:53) - ASPSCR1 and FHOD3: New Biological Clues(00:15:05) - Bigger Picture: Shared Genetic Architecture(00:16:10) - Limitations of the Study(00:16:48) - Conclusions and Closing Thoughts

  8. 25 de out.

    468: When a splicing factor breaks in different ways

    Lisfeld J et al., The American Journal of Human Genetics - SRSF3 is an essential splicing factor, one of the serine/arginine-rich proteins that help cells cut and paste their RNA messages and send them out of the nucleus. Losing it completely is lethal in mouse embryos. This study describes nine individuals with new, non-inherited SRSF3 variants and variable developmental phenotypes, with developmental delay and/or mild to moderate intellectual disability as the most consistent feature. Functional experiments in patient fibroblasts and human cell lines showed that each variant damaged the protein in a different combination of ways, which may help explain why affected individuals differ so much. Key terms: SRSF3, splicing, de novo variants, neurodevelopmental disorder, spliceosomopathy. Study Highlights: Through GeneMatcher, the team recruited nine subjects with six heterozygous de novo SRSF3 variants: two missense variants in the RNA recognition motif, three frameshifts and a recurrent nonsense variant, p.Arg149*, found in four unrelated subjects. In fibroblasts from subject 3, transcripts carrying the c.330_331del frameshift were largely degraded by nonsense-mediated decay, with only about 12.5% of SRSF3 reads carrying the deletion, yet overall SRSF3 mRNA and protein levels were normal, suggesting compensation from the other allele. In HEK293T cells, all five variant proteins tested formed less complex with polyadenylated RNA than wild type, while the three C-terminally truncated proteins were poorly phosphorylated, less stable, at about 46% to 59% of wild-type levels, and showed reduced nucleocytoplasmic shuttling in HeLa cells. Complex formation with the export factors YTHDC1 and NXF1 was reduced for p.Arg137Ilefs*16 and p.Arg149* and increased for p.Ser81Trp. Conclusion: De novo SRSF3 variants define a new spliceosomopathy with a broad developmental spectrum, and the variants appear to act through distinct mechanisms rather than simple loss of half the protein. The cohort is small, most functional work used overexpressed proteins in cell lines rather than affected tissues, the evidence against haploinsufficiency comes from one subject and one cell type, and the c.330_331del variant remains of uncertain significance. Article title: De novo variants in the essential splicing factor gene SRSF3 cause variable developmental phenotypes First author: Lisfeld J Journal: The American Journal of Human Genetics DOI: 10.1016/j.ajhg.2026.09.018 Reference: Lisfeld J., Chinn I.K., Yuan B., Casar C., Müller C., Elron E., et al. De novo variants in the essential splicing factor gene SRSF3 cause variable developmental phenotypes. The American Journal of Human Genetics. (2026). https://doi.org/10.1016/j.ajhg.2026.09.018 License: This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/ Support: Base by Base is independent and ad-free — no sponsors, no paywall. If an episode was worth your time, chip in and keep the papers audited and the original songs coming: ❤️ Support monthly: https://buy.stripe.com/cNifZhclVebvagk2JDgEg01 ☕ One-time donation: https://donate.stripe.com/7sY4gz71B2sN3RWac5gEg00 ▶️ Watch with chapters on YouTube: https://www.youtube.com/@basebybase More at basebybase.com On PaperCast Base by Base you'll discover the latest in genomics, functional genomics, structural genomics, and proteomics. Episode link: https://basebybase.com/episodes/srsf3-de-novo-variants-splicing-factor-development QC: This episode was checked against the original article PDF and publication metadata for the episode release published on 2026-10-25. QC Scope: - article metadata and core scientific claims from the narration - excludes analogies, in... Chapters (00:00:03) - Introduction: Nine Children, One Gene(00:01:03) - The Film Editor Analogy(00:01:42) - Study Credits and Paper Overview(00:02:23) - Understanding Splicing and the Spliceosome(00:02:57) - SR Proteins and SRSF3 Basics(00:03:29) - SRSF3 Structure and Phosphorylation Cycle(00:04:41) - SRSF3's Self-Regulating Poison Exon(00:05:18) - Finding the Children via GeneMatcher(00:05:55) - Types of Variants Found(00:06:30) - Lab Methods: Testing the Variants(00:07:05) - Control Variants for Validation(00:07:33) - Clinical Features of the Children(00:08:02) - Variability Within the Same Variant(00:08:44) - Subject 3: A Surprising Compensation(00:09:16) - Confirming Normal Protein Levels in Subject 3(00:09:48) - Interpreting Subject 3's Uncertain Variant(00:10:20) - Tail Tagging Experiments(00:11:19) - Protein Stability and Tag Protection(00:11:28) - RNA Gripping Deficits Across Variants(00:11:50) - Nuclear Shuttling Defects(00:12:36) - Export Partner Binding Differences(00:13:06) - Each Variant's Unique Defect Combination(00:13:44) - SRSF3 as a New Spliceosomopathy(00:14:18) - Comparison to SRSF1 and Clinical Implications(00:14:52) - Challenging Assumptions About Truncating Variants(00:15:24) - Study Limitations(00:16:02) - Summary: One Gene, Many Breaks(00:16:35) - Closing and Credits

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Sobre

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.

Informações

  • Criado por
    Gustavo Barra
  • Anos de atividade
    2025 - 2026
  • Episódios
    476
  • Classificação
    Livre
  • Copyright
    © Gustavo Barra
  • Site do podcast
    Base by Base

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