Genotype-to-Phenotype Mapping of Somatic Clonal Mosaicism via Single-Cell Co-Capture of DNA Mutations and mRNA Transcripts

生物 体细胞 遗传学 突变 突变体 种系突变 表型 癌症的体细胞进化 基因分型 基因 分子生物学 DNA测序 信使核糖核酸 DNA 基因组 深度测序 克隆选择 转录组
作者
Dennis J. Yuan,John Zinno,Theo Botella,Dalia Dhingra,Shu Wang,Allegra G. Hawkins,Ariel Swett,Jesús Alfonso López Sotélo,Ramya Raviram,Clayton Hughes,Catherine Potenski,Katharine D. Godfrey,Kara M. Ainsworth,Shuzhen Xu,J. Que,Julian A. Abrams,Akira Yokoyama,Nobuyuki Kakiuchi,Seishi Ogawa,Dan A. Landau
出处
期刊:Cancer Discovery [American Association for Cancer Research]
卷期号:16 (4): 721-739 被引量:1
标识
DOI:10.1158/2159-8290.cd-24-0853
摘要

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 affect 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, whereas 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. SIGNIFICANCE: Joint single-cell capture of somatic mutations and mRNA transcripts reconstructs clonal architecture and associated phenotypes of the phenotypically normal esophagus, providing the first single-cell genotype-phenotype map of this clonally mosaic tissue to accelerate our understanding of human somatic evolution in solid tissues and provide a window into early cancerous states.
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