Tissue-Specific Gene Expression Changes are Associated with Aging in Mice

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Bibliographic Details
Title: Tissue-Specific Gene Expression Changes are Associated with Aging in Mice
Authors: Srivastava, Akash, Barth, Emanuel, Ermolaeva, Maria A., Guenther, Madlen, Frahm, Christiane, Marz, Manja, Witte, Otto W.
Source: Genomics Proteomics Bioinformatics
Genomics, Proteomics & Bioinformatics
Publisher Information: Oxford University Press (OUP), 2020.
Publication Year: 2020
Subject Terms: 0301 basic medicine, Aging, Mice, 0303 health sciences, 03 medical and health sciences, Caenorhabditis elegans/genetics, Aging/genetics [MeSH], Longevity/genetics [MeSH], Mitochondria/genetics, Animals [MeSH], Mitochondria/genetics [MeSH], Mice [MeSH], Transcriptome, Aging/genetics, Longevity/genetics, Transcriptome [MeSH], Caenorhabditis elegans/genetics [MeSH], Animals, Longevity, Caenorhabditis elegans, Original Research, Mitochondria
Description: 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.
Document Type: Article
Other literature type
Language: English
ISSN: 2210-3244
1672-0229
DOI: 10.1016/j.gpb.2020.12.001
Access URL: https://pubmed.ncbi.nlm.nih.gov/33309863
https://europepmc.org/article/PMC/PMC8242333
https://doi.org/10.1016/j.gpb.2020.12.001
https://www.sciencedirect.com/science/article/pii/S1672022920301339
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242333
https://www.ncbi.nlm.nih.gov/pubmed/33309863
https://dblp.uni-trier.de/db/journals/gpb/gpb18.html#SrivastavaBEGFM20
https://repository.publisso.de/resource/frl:6475672
Rights: CC BY
Elsevier TDM
Accession Number: edsair.doi.dedup.....71bdfa6082deab8e4884dea9c79ea6ff
Database: OpenAIRE
Description
Abstract: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.
ISSN:22103244
16720229
DOI:10.1016/j.gpb.2020.12.001