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用表面辅助激光解吸/电离质谱法对生物样本中的脂质进行成像:过去十年的简要综述。

Imaging lipids in biological samples with surface-assisted laser desorption/ionization mass spectrometry: A concise review of the last decade.

机构信息

Mass Spectrometry Laboratory, MolSys RU, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000 Liège, Belgium.

Mass Spectrometry Laboratory, MolSys RU, Department of Chemistry, University of Liège, Allée du Six Août, 11 - Quartier Agora, 4000 Liège, Belgium.

出版信息

Prog Lipid Res. 2021 Jul;83:101114. doi: 10.1016/j.plipres.2021.101114. Epub 2021 Jul 2.

DOI:10.1016/j.plipres.2021.101114
PMID:34217733
Abstract

Knowing the spatial location of the lipid species present in biological samples is of paramount importance for the elucidation of pathological and physiological processes. In this context, mass spectrometry imaging (MSI) has emerged as a powerful technology allowing the visualization of the spatial distributions of biomolecules, including lipids, in complex biological samples. Among the different ionization methods available, the emerging surface-assisted laser desorption/ionization (SALDI) MSI offers unique capabilities for the study of lipids. This review describes the specific advantages of SALDI-MSI for lipid analysis, including the ability to perform analyses in both ionization modes with the same nanosubstrate, the detection of lipids characterized by low ionization efficiency in MALDI-MS, and the possibilities of surface modification to improve the detection of lipids. The complementarity of SALDI and MALDI-MSI is also discussed. Finally, this review presents data processing strategies applied in SALDI-MSI of lipids, as well as examples of applications of SALDI-MSI in biomedical lipidomics.

摘要

了解生物样本中脂质种类的空间位置对于阐明病理和生理过程至关重要。在这方面,质谱成像(MSI)已经成为一种强大的技术,可以可视化包括脂质在内的生物分子在复杂生物样本中的空间分布。在可用的不同离子化方法中,新兴的表面辅助激光解吸/电离(SALDI)MSI 为脂质研究提供了独特的功能。本综述描述了 SALDI-MSI 在脂质分析中的特定优势,包括能够在同一种纳米衬底上以两种离子化模式进行分析、检测 MALDI-MS 中具有低离子化效率的脂质,以及表面修饰以提高脂质检测的可能性。还讨论了 SALDI 和 MALDI-MSI 的互补性。最后,本综述介绍了应用于 SALDI-MSI 脂质数据分析的策略,以及 SALDI-MSI 在生物医学脂质组学中的应用实例。

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