Show Notes
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/
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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 the spoken content for alignment with the article's main findings: NanoSeq method, linear age-related mutation accumulation, driver landscape with NOTCH1/TP53/FAT1, in vivo saturation mutagenesis and hotspots, clonal growth plateau, alcohol- and smoking-related mutational dynamics, germline heritability, and cl
- transcript topics: NanoSeq method and ultra-low error sequencing; Age-related somatic mutation accumulation in oral epithelium; Driver landscape and positive selection (NOTCH1, TP53, FAT1) in oral epithelium; In vivo saturation mutagenesis and hotspot mapping (TP53, RAC1, etc.); Clonal growth dynamics and tissue architectural plateau; Alcohol-related mutational signature and ALDH2 genetics
QC Summary:
- factual score: 10/10
- metadata score: 6/10
- supported core claims: 7
- claims flagged for review: 0
- metadata checks passed: 2
- metadata issues found: 2
Metadata Audited:
- article_doi
- article_title
- article_journal
- license
- episode_title
- episode_number
- season
- reference
Factual Items Audited:
- NanoSeq error rate below five errors per billion base pairs
- Age-related mutation accumulation in oral epithelium ~18 SNVs per cell per year
- 46 genes under positive selection; >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 maps hotspots in TP53 DNA-binding domain and RAC1 GTP-binding pocket
Internal QC note: metadata cleanup is still recommended before publication.
QC result: Warning. Review the flagged items before publication.
