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Aging: Somatic Mutations, Epigenetic Drift and Gene Dosage Imbalance

Authors :
James A. Birchler
Samuel Bottani
Reiner A. Veitia
Diddahally R. Govindaraju
Institut Jacques Monod (IJM (UMR_7592))
Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS)
Université Sorbonne Paris Cité (USPC)
Matière et Systèmes Complexes (MSC (UMR_7057))
Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7)
Department of Human Evolutionary Biology
Harvard University [Cambridge]
Division of Biological Sciences [Columbia]
University of Missouri [Columbia] (Mizzou)
University of Missouri System-University of Missouri System
University Paris Diderot
Centre National de la Recherche Scientifique
Fondation pour le Recherche Medicale
National Science Foundation grant I05-1545780
ANR-10-BINF-0006,Iceberg,Des modèles de population aux populations de modèles: observation, modélisation et contrôle de l'expression génique au niveau de la cellule unique(2010)
Department of Human Evolutionary Biology, Cambridge
University of Missouri [Columbia]
ANR-10-BINF-06-11,Iceberg,Des modèles de population aux populations de modèles: observation, modélisation et contrôle de l’expression génique au niveau de la cellule unique(2011)
Source :
Trends in Cell Biology, Trends in Cell Biology, Elsevier, 2017, 27 (4), pp.299-310. ⟨10.1016/j.tcb.2016.11.006⟩
Publication Year :
2016

Abstract

International audience; Aging involves a progressive decline of metabolic function and an increased incidence of late-onset degenerative disorders and cancer. To a large extent, these processes are influenced by alterations affecting the integrity of genome architecture and, ultimately, its phenotypic expression. Despite the progress made towards establishing causal links between genomic and epigenomic changes and aging, mechanisms underlying metabolic dysregulation and age-related phenotypes remain obscure. Here, we present a model linking genome-wide changes and their age-related phenotypic consequences via the alteration of macromolecular complexes and cellular networks. This approach may provide a better understanding of the dynamically changing genome-phenome map with age, but also deeper insights to developing more targeted therapies to prevent and/or manage late-onset degenerative disorders as well as decelerate aging.

Details

ISSN :
18793088 and 09628924
Volume :
27
Issue :
4
Database :
OpenAIRE
Journal :
Trends in cell biology
Accession number :
edsair.doi.dedup.....edd03668138dd8b4af6f5bea2fcd6c7e
Full Text :
https://doi.org/10.1016/j.tcb.2016.11.006⟩