Systems Biology in Aging: Linking the Old and the Young

被引：17

作者：

Hou, Lei ^{[1
,2
]}

Huang, Jialiang ^{[1
,2
]}

Green, Christopher D. ^{[1
]}

Boyd-Kirkup, Jerome ^{[1
]}

Zhang, Wei ^{[1
,2
]}

Yu, Xiaoming ^{[1
,2
]}

Gong, Wenxuan ^{[1
]}

Zhou, Bing ^{[1
,2
]}

Han, Jing-Dong J. ^{[1
]}

机构：

[1] Chinese Acad Sci, Shanghai Inst Biol Sci, Max Planck Partner Inst Computat Biol, Key Lab Computat Biol, Shanghai 200031, Peoples R China

[2] Chinese Acad Sci, Inst Genet & Dev Biol, Ctr Mol Syst Biol, Beijing, Peoples R China

来源：

CURRENT GENOMICS | 2012年 / 13卷 / 07期

基金：

美国国家科学基金会;

关键词：

Systems biology; Genomics; Proteomics; Longevity; Aging; Network analysis; LIFE-SPAN; GENE-EXPRESSION; TRANSCRIPTIONAL PROFILE; CAENORHABDITIS-ELEGANS; DIETARY RESTRICTION; LONGEVITY; ASSOCIATION; NETWORK; AGE; STRESS;

D O I：

10.2174/138920212803251418

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Aging can be defined as a process of progressive decline in the physiological capacity of an organism, manifested by accumulated alteration and destabilization at the whole system level. Systems biology approaches offer a promising new perspective to examine the old problem of aging. We begin this review by introducing the concepts of systems biology, and then illustrate the application of systems biology approaches to aging research, from gene expression profiling to network analysis. We then introduce the network that can be constructed using known lifespan and aging regulators, and conclude with a look forward to the future of systems biology in aging research. In summary, systems biology is not only a young field that may help us understand aging at a higher level, but also an important platform that can link different levels of knowledge on aging, moving us closer to a more comprehensive control of systematic decline during aging.

引用

页码：558 / 565

页数：8

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