Barnes Stephen, Benton H Paul, Casazza Krista, Cooper Sara J, Cui Xiangqin, Du Xiuxia, Engler Jeffrey, Kabarowski Janusz H, Li Shuzhao, Pathmasiri Wimal, Prasain Jeevan K, Renfrow Matthew B, Tiwari Hemant K
Department of Biochemistry and Molecular Genetics, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
Department of Pharmacology and Toxicology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, 35294, USA.
J Mass Spectrom. 2016 Aug;51(8):535-548. doi: 10.1002/jms.3780.
Metabolomics, a systems biology discipline representing analysis of known and unknown pathways of metabolism, has grown tremendously over the past 20 years. Because of its comprehensive nature, metabolomics requires careful consideration of the question(s) being asked, the scale needed to answer the question(s), collection and storage of the sample specimens, methods for extraction of the metabolites from biological matrices, the analytical method(s) to be employed and the quality control of the analyses, how collected data are correlated, the statistical methods to determine metabolites undergoing significant change, putative identification of metabolites and the use of stable isotopes to aid in verifying metabolite identity and establishing pathway connections and fluxes. This second part of a comprehensive description of the methods of metabolomics focuses on data analysis, emerging methods in metabolomics and the future of this discipline. Copyright © 2016 John Wiley & Sons, Ltd.
代谢组学作为系统生物学的一个学科领域,旨在分析已知和未知的代谢途径,在过去20年中取得了巨大的发展。由于其综合性,代谢组学需要仔细考虑所提出的问题、回答这些问题所需的规模、样本标本的采集与储存、从生物基质中提取代谢物的方法、所采用的分析方法以及分析的质量控制、如何关联所收集的数据、确定发生显著变化的代谢物的统计方法、代谢物的假定鉴定以及使用稳定同位素来辅助验证代谢物的身份并建立途径连接和通量。代谢组学方法全面描述的第二部分重点关注数据分析、代谢组学中的新兴方法以及该学科的未来发展。版权所有© 2016约翰·威利父子有限公司。