Somatic mutation burden in relation to aging and functional life span: implications for cellular reprogramming and rejuvenation.


Journal

Current opinion in genetics & development
ISSN: 1879-0380
Titre abrégé: Curr Opin Genet Dev
Pays: England
ID NLM: 9111375

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 05 07 2023
revised: 02 09 2023
accepted: 07 10 2023
medline: 5 12 2023
pubmed: 7 11 2023
entrez: 6 11 2023
Statut: ppublish

Résumé

The accrual of somatic mutations has been implicated as causal factors in aging since the 1950s. However, the quantitative analysis of somatic mutations has posed a major challenge due to the random nature of de novo mutations in normal tissues, which has limited analysis to tumors and other clonal lineages. Advances in single-cell and single-molecule next-generation sequencing now allow to obtain, for the first time, detailed insights into the landscape of somatic mutations in different human tissues and cell types as a function of age under various conditions. Here, we will briefly recapitulate progress in somatic mutation analysis and discuss the possible relationship between somatic mutation burden with functional life span, with a focus on differences between germ cells, stem cells, and differentiated cells.

Identifiants

pubmed: 37931583
pii: S0959-437X(23)00112-0
doi: 10.1016/j.gde.2023.102132
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102132

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest Alexander Maslov and Jan Vijg are co-founders of SingulOmics Corp and Mutagentech Corp.

Auteurs

Alexander Y Maslov (AY)

Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Laboratory of Applied Genomic Technologies, Voronezh State University of Engineering Technologies, Voronezh, Russia. Electronic address: alex.maslov@einsteinmed.edu.

Jan Vijg (J)

Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10461, USA; Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. Electronic address: jan.vijg@einsteinmed.edu.

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Classifications MeSH