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

作     者：Akash Srivastava Emanuel Barth Maria A.Ermolaeva Madlen Guenther Christiane Frahm Manja Marz Otto W.Witte Akash Srivastava;Emanuel Barth;Maria A.Ermolaeva;Madlen Guenther;Christiane Frahm;Manja Marz;Otto W.Witte

作者机构：Hans-Berger Department of NeurologyUniversity Hospital JenaFriedrich Schiller University Jena07747 JenaGermany Bioinformatics/High Throughput AnalysisFriedrich Schiller University Jena07743 JenaGermany FLI Leibniz Institute for Age Research07745 JenaGermany 

出 版 物：《Genomics, Proteomics & Bioinformatics》 (基因组蛋白质组与生物信息学报（英文版）)

年 卷 期：2020年第18卷第4期

页      面：430-442页

核心收录：

学科分类：0710[理学-生物学] 1001[医学-基础医学(可授医学、理学学位)] 07[理学] 071007[理学-遗传学] 0714[理学-统计学（可授理学、经济学学位）] 0703[理学-化学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by the Deutsche Forschungsgemeinschaft(DFG)for 1738 B2 the Bundesministerum fuer Bildung und Forschung(BMBF)Bernstein Fokus(Grant No.01GQ0923) the BMBF Gerontosys JenAge(Grant No.0315581A/B) the EU BrainAge(Grant Nos.FP7/HEALTH.2011.2.2.2-2 and 279281) the BMBF Irestra(Grant No.16SV7209) 

主　　题：Aging RNA-seq analysis Inflammaging Electron transport chain Tissue aging 

摘      要：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 at9 months, 15 months, and 24 months, with a final evaluation at the very old age of 30 *** 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.