质谱成像
质谱法
化学
马尔迪成像
基质辅助激光解吸/电离
分辨率(逻辑)
解吸
色谱法
计算机科学
人工智能
吸附
有机化学
作者
Marcel Niehaus,Jens Soltwisch,Mikhail E. Belov,Klaus Dreisewerd
出处
期刊:Nature Methods
[Springer Nature]
日期:2019-08-26
卷期号:16 (9): 925-931
被引量:258
标识
DOI:10.1038/s41592-019-0536-2
摘要
Matrix-assisted laser desorption–ionization mass spectrometry imaging in transmission-mode geometry (t-MALDI–MSI) can provide molecular information with a pixel size of 1 µm and smaller, which makes this label-free method highly interesting for characterizing the chemical composition of tissues and cells on a (sub)cellular level. However, a major hindrance for wider use of the technology is the reduced ion abundance at small pixel sizes. Here we mitigate this problem by use of laser-induced post-ionization (MALDI-2) and by adapting a t-MALDI-2 ion source to an Orbitrap mass analyzer. We demonstrate the crucial sensitivity and accuracy boosts that are achieved with this combination by visualizing the distribution of numerous phospho- and glycolipids in mouse cerebellum and kidney slices, and in cultured Vero B4 cells. With brain tissue, a pixel size of 600 nm was achieved. Our method could constitute a valuable new tool for research in cell biology and biomedicine. Adapting a t-MALDI-2 ion source to an Orbitrap mass analyzer enables mass spectrometry imaging of cells and tissues with (sub)cellular resolution.
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