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Tissue-specific Gene Expression Changes Are Associated with Aging in Mice.
Srivastava, Akash; Barth, Emanuel; Ermolaeva, Maria A; Guenther, Madlen; Frahm, Christiane; Marz, Manja; Witte, Otto W.
Afiliación
  • Srivastava A; Hans-Berger Department of Neurology, University Hospital Jena, Friedrich Schiller University Jena, 07747 Jena, Germany.
  • 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.
  • Ermolaeva MA; FLI Leibniz Institute for Age Research, 07745 Jena, Germany.
  • Guenther M; Hans-Berger Department of Neurology, University Hospital Jena, Friedrich Schiller University Jena, 07747 Jena, Germany.
  • Frahm C; Hans-Berger Department of Neurology, University Hospital Jena, Friedrich Schiller University Jena, 07747 Jena, Germany.
  • 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.
  • 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.
Genomics Proteomics Bioinformatics ; 18(4): 430-442, 2020 08.
Article en En | MEDLINE | ID: mdl-33309863
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Envejecimiento / Longevidad Tipo de estudio: Risk_factors_studies Límite: Animals Idioma: En Revista: Genomics Proteomics Bioinformatics Asunto de la revista: BIOQUIMICA / GENETICA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Envejecimiento / Longevidad Tipo de estudio: Risk_factors_studies Límite: Animals Idioma: En Revista: Genomics Proteomics Bioinformatics Asunto de la revista: BIOQUIMICA / GENETICA / INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Alemania
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