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纳米电喷雾解吸电离质谱成像技术在高空间分辨率下对生物组织中的蛋白质形式进行分析。

Nano-DESI Mass Spectrometry Imaging of Proteoforms in Biological Tissues with High Spatial Resolution.

机构信息

Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.

Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, Indiana 47907, United States.

出版信息

Anal Chem. 2023 Mar 28;95(12):5214-5222. doi: 10.1021/acs.analchem.2c04795. Epub 2023 Mar 14.

Abstract

Mass spectrometry imaging (MSI) is a powerful tool for label-free mapping of the spatial distribution of proteins in biological tissues. We have previously demonstrated imaging of individual proteoforms in biological tissues using nanospray desorption electrospray ionization (nano-DESI), an ambient liquid extraction-based MSI technique. Nano-DESI MSI generates multiply charged protein ions, which is advantageous for their identification using top-down proteomics analysis. In this study, we demonstrate proteoform mapping in biological tissues with a spatial resolution down to 7 μm using nano-DESI MSI. A substantial decrease in protein signals observed in high-spatial-resolution MSI makes these experiments challenging. We have enhanced the sensitivity of nano-DESI MSI experiments by optimizing the design of the capillary-based probe and the thickness of the tissue section. In addition, we demonstrate that oversampling may be used to further improve spatial resolution at little or no expense to sensitivity. These developments represent a new step in MSI-based spatial proteomics, which complements targeted imaging modalities widely used for studying biological systems.

摘要

质谱成像(MSI)是一种用于无标记绘制生物组织中蛋白质空间分布的强大工具。我们之前已经证明了使用纳米喷雾解吸电喷雾电离(nano-DESI)对生物组织中的单个蛋白形式进行成像,这是一种基于环境液体提取的 MSI 技术。nano-DESI MSI 会生成多电荷蛋白离子,这对于使用自上而下的蛋白质组学分析来鉴定它们非常有利。在这项研究中,我们使用 nano-DESI MSI 以 7μm 的空间分辨率演示了生物组织中的蛋白形式映射。在高空间分辨率 MSI 中观察到的蛋白信号大幅下降使得这些实验极具挑战性。我们通过优化基于毛细管的探针的设计和组织切片的厚度来提高 nano-DESI MSI 实验的灵敏度。此外,我们证明了可以使用过采样来进一步提高空间分辨率,而几乎不会影响灵敏度。这些发展代表了基于 MSI 的空间蛋白质组学的新步骤,它补充了广泛用于研究生物系统的靶向成像模式。

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