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RESEARCH PAPER / 2026-01-02

Genotype-to-phenotype mapping of somatic clonal mosaicism via single-cell co-capture of DNA mutations and mRNA transcripts.

Dennis J Yuan, John Zinno, Theo Botella, Dalia Dhingra, Shu Wang, Allegra G Hawkins, Ariel Swett, Jesus Sotelo, Ramya Raviram, Clayton Hughes, Catherine Potenski, Katharine D Godfrey, Kara M Ainsworth, Shuzhen Xu, Jianwen Que, Julian A Abrams, Akira Yokoyama, Nobuyuki Kakiuchi, Seishi Ogawa, Dan A Landau

New York Genome Center New York, NY United States.New York Genome Center New York, NY United States. · pubmed

Abstract

Somatic mosaicism is pervasively observed in human aging, with clonal expansions of cells harboring mutations in recurrently mutated driver genes. Bulk sequencing of tissues captures mutation frequencies, but cannot reconstruct clonal architectures nor delineate how driver mutations impact cellular phenotypes. We developed single-cell Genotype-to-Phenotype sequencing (scG2P) for high-throughput, highly-multiplexed, joint capture of genotyping of mutation hotspots and mRNA markers. We applied scG2P to aged esophagus samples from six individuals and observed large numbers of clones with a single driver event, accompanied by rare clones with two driver mutations. NOTCH1 mutants dominate the clonal landscape and are linked to stunted epithelial differentiation, while TP53 mutants promote clonal expansion through both differentiation biases and increased cell cycling. Thus, joint single-cell highly multiplexed capture of somatic mutations and mRNA transcripts enables high resolution reconstruction of clonal architecture and associated phenotypes in solid tissue somatic mosaicism.

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Research summary

The paper claims that single-cell Genotype-to-Phenotype sequencing can reconstruct clonal architectures and associated phenotypes in somatic mosaicism. This research is relevant as it explores the underlying mechanisms of somatic mutations in aging tissues, which could provide insights into the biological processes contributing to aging and age-related diseases.

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