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脂质组学分析中离子源产生的伪像的识别与避免。

RECOGNITION AND AVOIDANCE OF ION SOURCE-GENERATED ARTIFACTS IN LIPIDOMICS ANALYSIS.

机构信息

College of Basic Medical Sciences, Zhejiang Chinese Medical University, 548 Bingwen Road, Hangzhou, Zhejiang, 310053, China.

College of Food Science and Engineering, Ocean University of China, Qingdao, Shandong, 266003, China.

出版信息

Mass Spectrom Rev. 2022 Jan;41(1):15-31. doi: 10.1002/mas.21659. Epub 2020 Sep 30.

Abstract

Lipid research is attracting more and more attention as various key roles and novel biological functions of lipids have been demonstrated and discovered in the organism. Mass spectrometry (MS)-based lipidomics approaches are the most powerful and effective tools for analysis of cellular lipidomes with very high sensitivity and specificity. However, the artifacts generated from in-source fragmentation are always present in all kinds of ion sources, even soft ionization techniques (i.e., electrospray ionization and matrix-assisted laser desorption/ionization [MALDI]). These artifacts can cause many problems for lipidomics, especially when the fragment ions correspond to/are isomeric species of other endogenous lipid species in complex biological samples. These commonly observed artifacts could lead to misannotation, false identification, and consequently, incorrect attribution of phenotypes, and will have negative impact on any MS-based lipidomics research including but not limited to biomarker discovery, drug development, etc. Liquid chromatography-MS, shotgun lipidomics, and MALDI-MS imaging are three representative lipidomics approaches in which ion source-generated artifacts are all manifested and are comprehensively summarized in this article. The strategies on how to avoid/reduce the artifacts of in-source fragmentation on lipidomics analysis are also discussed in detail. We believe that with the recognition and avoidance of ion source-generated artifacts, MS-based lipidomics approaches will provide better accuracy on comprehensive analysis of biological samples and will make greater contribution to the research on metabolism and translational/precision medicine (collectively termed functional lipidomics). © 2020 John Wiley & Sons Ltd. Mass Spec Rev.

摘要

脂质研究越来越受到关注,因为在生物体中已经证明和发现了脂质的各种关键作用和新的生物学功能。基于质谱(MS)的脂质组学方法是分析细胞脂质组学的最强大和有效的工具,具有非常高的灵敏度和特异性。然而,源自源内碎裂的伪像总是存在于各种离子源中,即使是软电离技术(即电喷雾电离和基质辅助激光解吸/电离[MALDI])。这些伪像会给脂质组学带来许多问题,尤其是当碎片离子对应于/是复杂生物样品中其他内源性脂质物种的异构体时。这些常见的观察到的伪像可能导致错误注释、错误识别,进而导致表型的错误归因,并对基于 MS 的脂质组学研究产生负面影响,包括但不限于生物标志物发现、药物开发等。液相色谱-MS、 shotgun 脂质组学和 MALDI-MS 成像是三种具有代表性的脂质组学方法,其中离子源产生的伪像都有表现,并在本文中进行了全面总结。本文还详细讨论了如何避免/减少源内碎裂产生的伪像对脂质组学分析的影响的策略。我们相信,随着对离子源产生的伪像的认识和避免,基于 MS 的脂质组学方法将在生物样品的综合分析中提供更好的准确性,并为代谢和转化/精准医学的研究做出更大的贡献(统称为功能脂质组学)。© 2020 约翰威立父子公司。质谱评论。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de0/8287896/ffeb3e281451/nihms-1631766-f0001.jpg

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