Tissue-specific Gene Expression Changes Are Associated with Aging in Mice.


Journal

Genomics, proteomics & bioinformatics
ISSN: 2210-3244
Titre abrégé: Genomics Proteomics Bioinformatics
Pays: China
ID NLM: 101197608

Informations de publication

Date de publication:
08 2020
Historique:
received: 17 08 2018
revised: 13 03 2019
accepted: 10 04 2019
pubmed: 15 12 2020
medline: 16 9 2021
entrez: 14 12 2020
Statut: ppublish

Résumé

Aging is a complex process that can be characterized by functional and cognitive decline in an individual. Aging can be assessed based on the functional capacity of vital organs and their intricate interactions with one another. Thus, the nature of aging can be described by focusing on a specific organ and an individual itself. However, to fully understand the complexity of aging, one must investigate not only a single tissue or biological process but also its complex interplay and interdependencies with other biological processes. Here, using RNA-seq, we monitored changes in the transcriptome during aging in four tissues (including brain, blood, skin and liver) in mice at 9 months, 15 months, and 24 months, with a final evaluation at the very old age of 30 months. We identified several genes and processes that were differentially regulated during aging in both tissue-dependent and tissue-independent manners. Most importantly, we found that the electron transport chain (ETC) of mitochondria was similarly affected at the transcriptome level in the four tissues during the aging process. We also identified the liver as the tissue showing the largest variety of differentially expressed genes (DEGs) over time. Lcn2 (Lipocalin-2) was found to be similarly regulated among all tissues, and its effect on longevity and survival was validated using its orthologue in Caenorhabditis elegans. Our study demonstrated that the molecular processes of aging are relatively subtle in their progress, and the aging process of every tissue depends on the tissue's specialized function and environment. Hence, individual gene or process alone cannot be described as the key of aging in the whole organism.

Identifiants

pubmed: 33309863
pii: S1672-0229(20)30133-9
doi: 10.1016/j.gpb.2020.12.001
pmc: PMC8242333
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

430-442

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

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Auteurs

Akash Srivastava (A)

Hans-Berger Department of Neurology, University Hospital Jena, Friedrich Schiller University Jena, 07747 Jena, Germany.

Emanuel Barth (E)

Bioinformatics/High Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany; FLI Leibniz Institute for Age Research, 07745 Jena, Germany. Electronic address: emanuel.barth@uni-jena.de.

Maria A Ermolaeva (MA)

FLI Leibniz Institute for Age Research, 07745 Jena, Germany.

Madlen Guenther (M)

Hans-Berger Department of Neurology, University Hospital Jena, Friedrich Schiller University Jena, 07747 Jena, Germany.

Christiane Frahm (C)

Hans-Berger Department of Neurology, University Hospital Jena, Friedrich Schiller University Jena, 07747 Jena, Germany.

Manja Marz (M)

Bioinformatics/High Throughput Analysis, Friedrich Schiller University Jena, 07743 Jena, Germany; FLI Leibniz Institute for Age Research, 07745 Jena, Germany. Electronic address: manja@uni-jena.de.

Otto W Witte (OW)

Hans-Berger Department of Neurology, University Hospital Jena, Friedrich Schiller University Jena, 07747 Jena, Germany. Electronic address: otto.witte@med.uni-jena.de.

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Classifications MeSH