Suppr超能文献

基质辅助激光解吸/电离质谱法提高内源性代谢物成像的灵敏度和重现性。

Improvement of Sensitivity and Reproducibility for Imaging of Endogenous Metabolites by Matrix-Assisted Laser Desorption/Ionization-Mass Spectrometry.

机构信息

Department of Bioscience and Biotechnology, Faculty of Agriculture, Kyushu University, 6-10-1 Hakozaki, Higashi-ku, Fukuoka, 812-8581, Japan.

Innovation Center for Medical Redox Navigation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.

出版信息

J Am Soc Mass Spectrom. 2019 Aug;30(8):1512-1520. doi: 10.1007/s13361-019-02221-7. Epub 2019 May 1.

Abstract

Matrix-assisted laser desorption/ionization (MALDI)-mass spectrometry imaging (MSI) is a powerful technique to visualize the distributions of biomolecules without any labeling. In MALDI-MSI experiments, the choice of matrix deposition method is important for acquiring favorable MSI data with high sensitivity and high reproducibility. Generally, manual or automated spray-coating and automated sublimation methods are used, but these methods have some drawbacks with respect to detection sensitivity, spatial resolution, and data reproducibility. Herein, we present an optimized matrix deposition method of sublimation coupled with recrystallization using 9-aminoacridine (9-AA) as a matrix capable of ionizing endogenous metabolites. The matrix recrystallization process after sublimation was optimized for the solvent concentration and reaction temperature for matrix-metabolite co-crystallization. This optimized method showed excellent reproducibility and spatial resolution compared to the automatic spray-coating method. Furthermore, the recrystallization step after sublimation remarkably improved the detectability of metabolites, including amino acids, nucleotide derivatives, and lipids, compared with the conventional sublimation method. To date, there have been no other reports of 9-AA-based sublimation combined with recrystallization. The present method provides an easy, sensitive, and reproducible matrix deposition method for MALDI-MSI of endogenous metabolites. Graphical Abstract.

摘要

基质辅助激光解吸/电离(MALDI)-质谱成像(MSI)是一种无需任何标记即可可视化生物分子分布的强大技术。在 MALDI-MSI 实验中,选择基质沉积方法对于获得具有高灵敏度和高重现性的有利 MSI 数据非常重要。通常使用手动或自动喷雾涂层和自动升华方法,但这些方法在检测灵敏度、空间分辨率和数据重现性方面存在一些缺点。在此,我们提出了一种优化的基质沉积方法,即升华结合使用 9-氨基吖啶(9-AA)作为基质的重结晶,该基质能够使内源性代谢物电离。优化了升华后基质-代谢物共结晶的溶剂浓度和反应温度的基质重结晶过程。与自动喷雾涂层方法相比,该优化方法显示出出色的重现性和空间分辨率。此外,与传统的升华方法相比,升华后重结晶步骤显著提高了包括氨基酸、核苷酸衍生物和脂质在内的代谢物的检测灵敏度。迄今为止,尚无其他关于基于 9-AA 的升华与重结晶相结合的报道。本方法为 MALDI-MSI 内源性代谢物提供了一种简单、灵敏和可重现的基质沉积方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验