Ontology highlight
ABSTRACT:
SUBMITTER: Wang F
PROVIDER: S-EPMC7546819 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Wang Fayou F Yang Jialiang J Lin Huixin H Li Qian Q Ye Zixuan Z Lu Qingqing Q Chen Luonan L Tu Zhidong Z Tian Geng G
Frontiers in genetics 20200924
Studying transcriptome chronological change from tissues across the whole body can provide valuable information for understanding aging and longevity. Although there has been research on the effect of single-tissue transcriptomes on human aging or aging in mice across multiple tissues, the study of human body-wide multi-tissue transcriptomes on aging is not yet available. In this study, we propose a quantitative model to predict human age by using gene expression data from 46 tissues generated b ...[more]