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Systems Biology in Aging Research

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Aging and Aging-Related Diseases

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 1086))

Abstract

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.

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Authors and Affiliations

  1. CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai, China

    Xian Xia & Jing-Dong J. Han

  2. CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Nutrition and Health, Shanghai, China

    Xian Xia & Jing-Dong J. Han

  3. Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Shanghai, China

    Xian Xia & Jing-Dong J. Han

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  1. School of Pharmaceutical Sciences, Tsinghua University, Beijing, China

    Zhao Wang

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Xia, X., Han, JD.J. (2018). Systems Biology in Aging Research. In: Wang, Z. (eds) Aging and Aging-Related Diseases. Advances in Experimental Medicine and Biology, vol 1086. Springer, Singapore. https://doi.org/10.1007/978-981-13-1117-8_1

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