Literature DB >> 34433967

Clonal dynamics in early human embryogenesis inferred from somatic mutation.

Seongyeol Park1,2, Nanda Maya Mali3, Ryul Kim1, Jeong-Woo Choi3,4, Junehawk Lee5, Joonoh Lim1, Jung Min Park3,4, Jung Woo Park5, Donghyun Kim3,4, Taewoo Kim1, Kijong Yi1, June Hyug Choi3, Seong Gyu Kwon3, Joo Hee Hong3, Jeonghwan Youk1, Yohan An1, Su Yeon Kim1, Soo A Oh1, Youngoh Kwon2, Dongwan Hong6, Moonkyu Kim7, Dong Sun Kim3, Ji Young Park8, Ji Won Oh9,10,11, Young Seok Ju12,13.   

Abstract

Cellular dynamics and fate decision in early human embryogenesis remain largely unknown owing to the challenges of performing studies in human embryos1. Here, we explored whole-genomes of 334 single-cell colonies and targeted deep sequences of 379 bulk tissues obtained from various anatomical locations of seven recently deceased adult human donors. Using somatic mutations as an intrinsic barcode, we reconstructed early cellular phylogenies that demonstrate (1) an endogenous mutational rate that is higher in the first cell division but decreases to approximately one per cell per cell division later in life; (2) universal unequal contribution of early cells to embryo proper, resulting from early cellular bottlenecks that stochastically set aside epiblast cells within the embryo; (3) examples of varying degrees of early clonal imbalances between tissues on the left and right sides of the body, different germ layers and specific anatomical parts and organs; (4) emergence of a few ancestral cells that will substantially contribute to adult cell pools in blood and liver; and (5) presence of mitochondrial DNA heteroplasmy in the fertilized egg. Our approach also provides insights into the age-related mutational processes and loss of sex chromosomes in normal somatic cells. In sum, this study provides a foundation for future studies to complete cellular phylogenies in human embryogenesis.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2021        PMID: 34433967     DOI: 10.1038/s41586-021-03786-8

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  56 in total

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