结合质谱成像和毛细管电泳深入化学表征的空间代谢组学平台。

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Talanta Pub Date : 2025-05-01 Epub Date: 2025-01-10 DOI:10.1016/j.talanta.2024.127460
Leonidas Mavroudakis, Anastasia Golubova, Ingela Lanekoff
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引用次数: 0

摘要

空间代谢组学将分子鉴定与定位相结合。作为空间代谢组学的一种工具,质谱成像(MSI)可以提供详细的定位信息。然而,由于质谱分析前缺乏分离,使用 MSI 进行分子注释具有挑战性。与此相反,表面采样毛细管电泳质谱(SS-CE-MS)虽然采样点规模不大,却能提供详细的分子信息。在这里,我们描述了一个空间代谢组学平台,该平台将气动辅助纳米喷雾解吸电喷雾离子化 MSI(PA-nano-DESI)与 SS-CE-MS 相结合,从薄组织切片中获取深度化学信息和空间定位信息。我们介绍了工作流程,包括用户友好的设置和技术之间的切换,比较了获得的数据,并展示了使用该平台对缺血性中风进行空间代谢组学研究的定量方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial metabolomics platform combining mass spectrometry imaging and in-depth chemical characterization with capillary electrophoresis.

Spatial metabolomics offers the combination of molecular identification and localization. As a tool for spatial metabolomics, mass spectrometry imaging (MSI) can provide detailed information on localization. However, molecular annotation with MSI is challenging due to the lack of separation prior to mass spectrometric analysis. Contrarily, surface sampling capillary electrophoresis mass spectrometry (SS-CE-MS) provides detailed molecular information, although the size of the sampling sites is modest. Here, we describe a platform for spatial metabolomics where MSI using pneumatically assisted nanospray desorption electrospray ionization (PA-nano-DESI) is combined with SS-CE-MS to gain both in-depth chemical information and spatial localization from thin tissue sections. We present the workflow, including the user-friendly setup and switching between the techniques, compare the obtained data, and demonstrate a quantitative approach when using the platform for spatial metabolomics of ischemic stroke.

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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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