覃露媛, 王闯, 徐斌, 郭磊, 谢剑炜. MALDI质谱成像中的关键技术探讨及其研究进展J. 药学学报, 2023, 58(1): 63-75. DOI: 10.16438/j.0513-4870.2022-0981
引用本文: 覃露媛, 王闯, 徐斌, 郭磊, 谢剑炜. MALDI质谱成像中的关键技术探讨及其研究进展J. 药学学报, 2023, 58(1): 63-75. DOI: 10.16438/j.0513-4870.2022-0981
QIN Lu-yuan, WANG Chuang, XU Bin, GUO Lei, XIE Jian-wei. Exploration and advance of key techniques in MALDI mass spectrometry imagingJ. Acta Pharmaceutica Sinica, 2023, 58(1): 63-75. DOI: 10.16438/j.0513-4870.2022-0981
Citation: QIN Lu-yuan, WANG Chuang, XU Bin, GUO Lei, XIE Jian-wei. Exploration and advance of key techniques in MALDI mass spectrometry imagingJ. Acta Pharmaceutica Sinica, 2023, 58(1): 63-75. DOI: 10.16438/j.0513-4870.2022-0981

MALDI质谱成像中的关键技术探讨及其研究进展

Exploration and advance of key techniques in MALDI mass spectrometry imaging

  • 摘要: 基质辅助激光解吸电离质谱成像(matrix-assisted laser desorption/ionization mass spectrometry imaging, MALDI-MSI) 是一种新型的无标记、快速、高通量的成像技术, 具有非靶向全分析型的数据通量及靶向分析的高准确性, 在组织表面的药物、代谢产物、多肽及蛋白质等多种生物分子空间分布分析方面发展迅速。适当的样品制备方法是获取高灵敏度、高空间分辨率、稳定性好的MSI响应的核心前提, 灵活多样的数据处理手段则有助于挖掘非靶向数据, 实现可视化示踪、空间分布、多指标应用等需求, 利于揭示数据下的科学规律。本文简要总结了MALDI-MSI中的样品制备流程、数据处理和可视化中的关键技术研究进展, 详细阐述了关键技术特征、难点及可能的解决方案。

     

    Abstract: Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a new imaging technique with label-free, rapid, and high throughput features. It has bloomed in the analysis on the spatial distribution of biomolecules such as drugs, metabolites, peptides and proteins on the tissue surface in virtue of providing high data throughput from non-targeted full analysis and high accuracy from targeted analysis. The acquisition of MSI signal response with high sensitivity, high spatial resolution, and good stability is directly depended on the appropriate sample preparation approaches, and flexible and various data processing tools will help the non-target data mining to meet the demands of visualization, spatial distribution and multiple index applications so as to reveal the scientific rules beneath the data. This review briefly summarizes the key advances in MALDI-MSI from aspects of sample preparation procedures, data processing and visualization. It also illustrates the characteristics, difficulties and probable solutions derived from these key techniques.

     

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