Multiorgan transcriptomics in mice identifies immunoglobulin heavy constant mu (

Fan-Qian Yin, Xia-Yan Wang, Yong-Xuan Li, Kai-Jing Li, Si-Yu Ma, Meng-Jiao Lv, Zhen-Hua Liu, Wei-Xia Zhong, Yan Liu, Chuan-Fang Tang, Hong-Shi Liu, Yuze Li, Fu-Hui Xiao, Qing-Peng Kong

State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China.State Key Laboratory of Genetic Evolution and Animal Models, State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650201, China. · pubmed

Paper

Abstract

Identifying aging-associated biomarkers applicable for multiple tissues is challenging but crucial for assessing tissue aging. Here, we obtained and analyzed 456 transcriptomes on 17 organs from 30 C57BL/6 J mice with different ages, revealing the consistently upregulated mRNAs of

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Research summary

The paper identifies aging-associated biomarkers through multiorgan transcriptomics in mice. This research is relevant as it aims to uncover molecular signatures related to aging, which could contribute to understanding the biological mechanisms of aging and potentially lead to interventions that address the root causes of aging.

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