生物
电池类型
细胞
表型
核糖核酸
细胞生物学
转录组
计算生物学
基因
遗传学
基因表达
作者
Jacob C. Kimmel,Lolita Penland,Nimrod D. Rubinstein,David G. Hendrickson,David R. Kelley,Adam Rosenthal
出处
期刊:Genome Research
[Cold Spring Harbor Laboratory Press]
日期:2019-11-21
卷期号:29 (12): 2088-2103
被引量:165
标识
DOI:10.1101/gr.253880.119
摘要
Aging is a pleiotropic process affecting many aspects of mammalian physiology. Mammals are composed of distinct cell type identities and tissue environments, but the influence of these cell identities and environments on the trajectory of aging in individual cells remains unclear. Here, we performed single-cell RNA-seq on >50,000 individual cells across three tissues in young and old mice to allow for direct comparison of aging phenotypes across cell types. We found transcriptional features of aging common across many cell types, as well as features of aging unique to each type. Leveraging matrix factorization and optimal transport methods, we found that both cell identities and tissue environments exert influence on the trajectory and magnitude of aging, with cell identity influence predominating. These results suggest that aging manifests with unique directionality and magnitude across the diverse cell identities in mammals.
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