Accession PRJCA003552
Title A body map of somatic mutations in morphologically normal human epithelial tissues
Relevance Medical
Data types Whole genome sequencing
Exome
Organisms Homo sapiens
Description Somatic mutations accumulated in normal tissues are associated with aging and disease. Here we performed a comprehensive genomic analysis of 1,736 biopsy samples collected from morphologically normal tissues of nine organs from five donors. Through in-depth within and between individual comparison, we found that somatic mutations and clonal expansion are widespread in normal (epithelial) tissues, and the degree of clonal expansion and enrichment of driver mutations display strong organ dependence. Interestingly, somatic copy number alterations were frequently detected in normal tissues from esophagus and cardia. Mutational signature analysis further delineated the endogenous and exogeneous factors that contribute to somatic mutations in different human organs. By building a 3D phylogeny map based on mutations detected in biopsy samples, we reconstructed the somatic clonal architecture in normal tissues. In tissues from esophagus, cardia, and liver, macroscopic somatic clones expanded to ~1 mm were commonly seen, whereas in tissues from colon, rectum, and ???, somatic clones were microscopic in size and evolved independently. Our study depicts a body map of somatic mutation and clonal expansion from the same individual, and reveals organ-specific features which could be shaped by variations in tissue turnover rates and physiological microenvironment of different organs.
Sample scope Monoisolate
Release date 2020-09-28
Publication
PubMed ID Article title Journal name DOI Year
34433965 A body map of somatic mutagenesis in morphologically normal human tissues Nature 10.1038/s41586-021-03836-1 2021
Grants
Agency program Grant ID Grant title
National Natural Science Foundation of China (NSFC) 81725015
Submitter Chen    Wu  (chenwu@cicams.ac.cn)
Organization Cancer Hospital, Chinese Academy of Medical Sciences
Submission date 2020-09-28

Project Data

Resource name Description
BioSample (1782)  show -