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Tissue-specific Gene Expression Changes Are Associated with Aging in Mice
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 or...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242333/ https://www.ncbi.nlm.nih.gov/pubmed/33309863 http://dx.doi.org/10.1016/j.gpb.2020.12.001 |
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author | Srivastava, Akash Barth, Emanuel Ermolaeva, Maria A. Guenther, Madlen Frahm, Christiane Marz, Manja Witte, Otto W. |
author_facet | Srivastava, Akash Barth, Emanuel Ermolaeva, Maria A. Guenther, Madlen Frahm, Christiane Marz, Manja Witte, Otto W. |
author_sort | Srivastava, Akash |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8242333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-82423332021-07-02 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. Genomics Proteomics Bioinformatics Original Research 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. Elsevier 2020-08 2020-12-11 /pmc/articles/PMC8242333/ /pubmed/33309863 http://dx.doi.org/10.1016/j.gpb.2020.12.001 Text en © 2020 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Research Srivastava, Akash Barth, Emanuel Ermolaeva, Maria A. Guenther, Madlen Frahm, Christiane Marz, Manja Witte, Otto W. Tissue-specific Gene Expression Changes Are Associated with Aging in Mice |
title | Tissue-specific Gene Expression Changes Are Associated with Aging in Mice |
title_full | Tissue-specific Gene Expression Changes Are Associated with Aging in Mice |
title_fullStr | Tissue-specific Gene Expression Changes Are Associated with Aging in Mice |
title_full_unstemmed | Tissue-specific Gene Expression Changes Are Associated with Aging in Mice |
title_short | Tissue-specific Gene Expression Changes Are Associated with Aging in Mice |
title_sort | tissue-specific gene expression changes are associated with aging in mice |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242333/ https://www.ncbi.nlm.nih.gov/pubmed/33309863 http://dx.doi.org/10.1016/j.gpb.2020.12.001 |
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