Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.
Anal Bioanal Chem. 2019 Jul;411(19):4349-4357. doi: 10.1007/s00216-019-01709-1. Epub 2019 Mar 7.
Metabolomics quantitatively measures metabolites in a given biological system and facilitates the understanding of physiological and pathological activities. With the recent advancement of mass spectrometry (MS) technology, liquid chromatography-mass spectrometry (LC-MS) with data-independent acquisition (DIA) has been emerged as a powerful technology for untargeted metabolomics due to its capability to acquire all MS2 spectra and high quantitative accuracy. In this trend article, we first introduced the basic principles of several common DIA techniques including MS, all ion fragmentation (AIF), SWATH, and MSX. Then, we summarized and compared the data analysis strategies to process DIA-based untargeted metabolomics data, including metabolite identification and quantification. We think the advantages of the DIA technique will enable its broad application in untargeted metabolomics.
代谢组学定量测量给定生物系统中的代谢物，并有助于理解生理和病理活动。随着质谱 (MS) 技术的最新进展，具有数据非依赖性采集 (DIA) 的液相色谱-质谱 (LC-MS) 已成为一种强大的非靶向代谢组学技术，因为它能够获取所有 MS2 谱图并具有高定量准确性。在这篇趋势文章中，我们首先介绍了几种常见的 DIA 技术（包括 MS、全离子碎裂 (AIF)、SWATH 和 MSX）的基本原理。然后，我们总结并比较了用于处理基于 DIA 的非靶向代谢组学数据的数据分析策略，包括代谢物的鉴定和定量。我们认为 DIA 技术的优势将使其在非靶向代谢组学中得到广泛应用。
