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CE-MS 在代谢组学中的应用:2016-2018 年的发展与应用。

CE-MS for metabolomics: Developments and applications in the period 2016-2018.

机构信息

Biomedical Microscale Analytics, Leiden Academic Center for Drug Research, Leiden University, Leiden, The Netherlands.

Division of BioAnalytical Chemistry, Amsterdam Institute for Molecules, Medicines and Systems, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.

出版信息

Electrophoresis. 2019 Jan;40(1):165-179. doi: 10.1002/elps.201800323. Epub 2018 Oct 1.

Abstract

In the field of metabolomics, CE-MS is now recognized as a strong analytical technique for the analysis of (highly) polar and charged metabolites in a wide range of biological samples. Over the past few years, significant attention has been paid to the design and improvement of CE-MS approaches for (large-scale) metabolic profiling studies and for establishing protocols in order to further expand the role of CE-MS in metabolomics. In this paper, which is a follow-up of a previous review paper covering the years 2014-2016 (Electrophoresis 2017, 38, 190-202), main advances in CE-MS approaches for metabolomics studies are outlined covering the literature from July 2016 to June 2018. Aspects like developments in interfacing designs and data analysis tools for improving the performance of CE-MS for metabolomics are discussed. Representative examples highlight the utility of CE-MS in the fields of biomedical, clinical, microbial, and plant metabolomics. A complete overview of recent CE-MS-based metabolomics studies is given in a table, which provides information on sample type and pretreatment, capillary coatings and MS detection mode. Finally, some general conclusions and perspectives are given.

摘要

在代谢组学领域,CE-MS 现在被认为是一种强大的分析技术,可用于分析广泛的生物样本中的(高)极性和带电代谢物。在过去的几年中,人们对 CE-MS 方法的设计和改进给予了极大的关注,这些方法用于(大规模)代谢物分析研究,并制定了方案,以便进一步扩大 CE-MS 在代谢组学中的作用。本文是对涵盖 2014-2016 年文献的上一篇综述论文的后续,概述了 2016 年 7 月至 2018 年 6 月期间代谢组学研究中 CE-MS 方法的主要进展。讨论了界面设计和数据分析工具的发展,以提高 CE-MS 用于代谢组学的性能。代表性实例强调了 CE-MS 在生物医学、临床、微生物和植物代谢组学领域的应用。表中给出了基于 CE-MS 的最新代谢组学研究的全面概述,其中提供了有关样品类型和预处理、毛细管涂层和 MS 检测模式的信息。最后给出了一些一般性结论和展望。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2e4/6586046/50c19986f192/ELPS-40-165-g001.jpg

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