Multi-omics network analysis reveals distinct stages in the human aging progression in epidermal tissue.
aging phases
biological age
hallmarks of aging
multi-omics
transcriptional noise
Journal
Aging
ISSN: 1945-4589
Titre abrégé: Aging (Albany NY)
Pays: United States
ID NLM: 101508617
Informations de publication
Date de publication:
18 06 2020
18 06 2020
Historique:
received:
20
02
2020
accepted:
01
06
2020
pubmed:
20
6
2020
medline:
9
3
2021
entrez:
20
6
2020
Statut:
ppublish
Résumé
In recent years, reports of non-linear regulations in age- and longevity-associated biological processes have been accumulating. Inspired by methodological advances in precision medicine involving the integrative analysis of multi-omics data, we sought to investigate the potential of multi-omics integration to identify distinct stages in the aging progression from
Identifiants
pubmed: 32554863
doi: 10.18632/aging.103499
pii: 103499
pmc: PMC7343460
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
12393-12409Références
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