转录组
生物
基因
计算生物学
遗传学
心理干预
进化生物学
基因表达
生物信息学
生理学
医学
精神科
作者
Thomas Stoeger,Rogan A. Grant,Alexandra C. McQuattie‐Pimentel,Kishore R. Anekalla,Sophia S. Liu,Heliodoro Tejedor-Navarro,Benjamin D. Singer,Hiam Abdala‐Valencia,Michael Schwake,Marie–Pier Tétreault,Harris Perlman,William E. Balch,Navdeep S. Chandel,Karen M. Ridge,Jacob I. Sznajder,Richard I. Morimoto,Alexander V. Misharin,G. R. Scott Budinger,Luı́s A. Nunes Amaral
出处
期刊:Nature Aging
日期:2022-12-09
卷期号:2 (12): 1191-1206
被引量:23
标识
DOI:10.1038/s43587-022-00317-6
摘要
Aging is among the most important risk factors for morbidity and mortality. To contribute toward a molecular understanding of aging, we analyzed age-resolved transcriptomic data from multiple studies. Here, we show that transcript length alone explains most transcriptional changes observed with aging in mice and humans. We present three lines of evidence supporting the biological importance of the uncovered transcriptome imbalance. First, in vertebrates the length association primarily displays a lower relative abundance of long transcripts in aging. Second, eight antiaging interventions of the Interventions Testing Program of the National Institute on Aging can counter this length association. Third, we find that in humans and mice the genes with the longest transcripts enrich for genes reported to extend lifespan, whereas those with the shortest transcripts enrich for genes reported to shorten lifespan. Our study opens fundamental questions on aging and the organization of transcriptomes.
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