Systems Biology in Aging Research

被引：3

作者：

Xia, Xian ^{[1
,2
,3
]}

Han, Jing-Dong J. ^{[1
,2
,3
]}

机构：

[1] CAS MPG Partner Inst Computat Biol, CAS Key Lab Computat Biol, Shanghai, Peoples R China

[2] Shanghai Inst Nutr & Hlth, CAS Ctr Excellence Mol Cell Sci, Shanghai, Peoples R China

[3] Univ Chinese Acad Sci, Shanghai Inst Biol Sci, Shanghai, Peoples R China

来源：

AGING AND AGING-RELATED DISEASES: MECHANISMS AND INTERVENTIONS | 2018年 / 1086卷

关键词：

Aging; Systems biology; Network; Omics; Single cell; GENOME-WIDE ASSOCIATION; APOLIPOPROTEIN-E GENOTYPE; DNA METHYLATION; EXTREME LONGEVITY; LIFE-SPAN; GENE; AGE; NETWORKS; ACCUMULATION; MODEL;

D O I：

10.1007/978-981-13-1117-8_1

中图分类号：

R592 [老年病学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 100203 ;

摘要：

Systems biology is an approach to collect high-dimensional data and analyze in an integrated manner. As aging is a complicated physiological functional decline in biological system, the methods in systems biology could be utilized in aging studies. Here we reviewed recent advances in systems biology in aging research and divide them into two major parts. One is the data resource, which includes omics data from DNA, RNA, proteins, epigenetic changes, metabolisms, and recently single-cell-level variations. The other is the data analysis methods consisting of network and modeling approaches. With all the data and the tools to analyze them, we could further promote our understanding of the systematic aging.

引用

页码：1 / 15

页数：15

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