衰老研究中的系统生物学。

Systems Biology in Aging Research.

机构信息

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

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

出版信息

Adv Exp Med Biol. 2018;1086:1-15. doi: 10.1007/978-981-13-1117-8_1.

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

PMID:30232749

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.

摘要

系统生物学是一种收集高维数据并进行综合分析的方法。由于衰老（aging）是生物系统中复杂的生理功能衰退，因此系统生物学的方法可以应用于衰老研究。在这里，我们综述了系统生物学在衰老研究中的最新进展，并将其分为两大部分。一部分是数据资源，包括从 DNA、RNA、蛋白质、表观遗传变化、代谢物到最近的单细胞水平变化的组学数据。另一部分是数据分析方法，包括网络和建模方法。有了所有的数据和分析它们的工具，我们可以进一步加深对系统衰老的理解。