Department of Pharmacology & Toxicology and Targeted Metabolomics and Proteomics Laboratory, University of Alabama at Birmingham, Birmingham, AL, USA.
Methods Mol Biol. 2020;2104:1-10. doi: 10.1007/978-1-0716-0239-3_1.
Metabolomics has become a powerful tool in biological and clinical investigations. This chapter reviews the technological basis of metabolomics and the considerations in answering biomedical questions. The workflow of metabolomics is explained in the sequence of data processing, quality control, metabolite annotation, statistical analysis, pathway analysis, and multi-omics integration. Reproducibility in both sample analysis and data analysis is key to the scientific progress, and the recommendation is made on reporting standards in publications. This chapter explains the technical aspects of metabolomics in the context of systems biology and applications to human health.
代谢组学已成为生物和临床研究中的有力工具。本章回顾了代谢组学的技术基础以及回答生物医学问题时需要考虑的因素。代谢组学的工作流程按照数据处理、质量控制、代谢物注释、统计分析、途径分析和多组学整合的顺序进行解释。样本分析和数据分析的重复性是科学进展的关键，因此本章就出版物中的报告标准提出了建议。本章在系统生物学的背景下解释了代谢组学的技术方面及其在人类健康中的应用。
