Personalized transcriptional network analysis links age-related loss of gene coordination to individual biological aging.

Hao-Tian Wang, Fu-Hui Xiao, Long Zhao, Qian Su, Tian-Rui Xia, Li-Qin Yang, Si-Yu Ma, Qing-Peng Kong

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

Paper

Abstract

Aging is characterized by the decline in biological functions, accompanied by changes in gene-to-gene transcriptional coordination, which can be estimated by expression coordination in gene transcriptional network. Notably, gene networks and coordinated expression relationships (CERs) showed inter-individual variability, while personalized aging-related gene expression coordination dynamics in human cohorts have yet to be investigated.

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Research summary

The paper claims that age-related loss of gene coordination can be linked to individual biological aging through personalized transcriptional network analysis. This research is relevant as it investigates the underlying mechanisms of biological aging and gene expression dynamics, which could contribute to understanding and potentially mitigating the root causes of aging.

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