Abstract

BackgroundThe lifelong accumulation of somatic mutations underlies age-related phenotypes and cancer. Mutagenic forces are thought to shape the genome of aging cells in a tissue-specific way. Whole genome analyses of somatic mutation patterns, based on both types and genomic distribution of variants, can shed light on specific processes active in different human tissues and their effect on the transition to cancer.ResultsTo analyze somatic mutation patterns, we compile a comprehensive genetic atlas of somatic mutations in healthy human cells. High-confidence variants are obtained from newly generated and publicly available whole genome DNA sequencing data from single non-cancer cells, clonally expanded in vitro. To enable a well-controlled comparison of different cell types, we obtain single genome data (92% mean coverage) from multi-organ biopsies from the same donors. These data show multiple cell types that are protected from mutagens and display a stereotyped mutation profile, despite their origin from different tissues. Conversely, the same tissue harbors cells with distinct mutation profiles associated to different differentiation states. Analyses of mutation rate in the coding and non-coding portions of the genome identify a cell type bearing a unique mutation pattern characterized by mutation enrichment in active chromatin, regulatory, and transcribed regions.ConclusionsOur analysis of normal cells from healthy donors identifies a somatic mutation landscape that enhances the risk of tumor transformation in a specific cell population from the kidney proximal tubule. This unique pattern is characterized by high rate of mutation accumulation during adult life and specific targeting of expressed genes and regulatory regions.

Highlights

  • The lifelong accumulation of somatic mutations underlies age-related phenotypes and cancer

  • Detection of mutations in different tissues from the same individual To explore differences in mutagenic processes occurring in adult human tissues, we analyzed the somatic variation in human kidney tubules (KT), epidermis (EP), and subcutaneous and visceral adipose tissue (SAT and VAT, respectively) from healthy individuals of different ages

  • These tissues are subjected to extensive morphological changes during aging, including loss of regenerative potential and atrophy in the case of kidney tubules, epidermis, and subcutaneous fat and progressive hypertrophy in the case of visceral fat [28, 29]

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Summary

Introduction

The lifelong accumulation of somatic mutations underlies age-related phenotypes and cancer. It is possible to obtain WGS data relative to a single genome while avoiding single cell sequencing This method requires in vitro clonal expansion of a single cell prior to sequencing, and a specific processing of data, in order to select the somatic variants that were present in vivo and eliminate those that occurred during culture [2, 6]. The strategy has been successfully applied to the analysis of skeletal muscle progenitors [11]; intestine, colon, and liver stem cells [12]; blood stem and progenitor cells [13, 14]; and reprogrammed skin fibroblasts [15]

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