用于单细胞分辨率空间自下而上蛋白质组学的 MALDI MSI 协议。

IF 3.8 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2024-12-06 Epub Date: 2024-10-24 DOI:10.1021/acs.jproteome.4c00528
Andrej Grgic, Eva Cuypers, Ludwig J Dubois, Shane R Ellis, Ron M A Heeren
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引用次数: 0

摘要

基质辅助激光解吸电离(MALDI)质谱成像(MSI)始于肽和蛋白质的空间制图。此后,又开发了许多自下而上的方案。然而,可实现的空间分辨率和样品制备的许多湿步骤阻碍了自下而上空间蛋白质组学单细胞级工作流程的发展。本研究提出了一种在二维培养背景下对单细胞进行 MALDI-MSI 测量的优化方案。升华 CHCA,然后浸入冰冷的磷酸一铵(AmP)中,可产生丰富的肽质谱,同时将基质晶体尺寸保持在 400 nm 左右。这样就能对生长在 ITO 玻片上的单细胞中的蛋白质进行 MALDI-MSI 成像,每天的产量约为 7800 个细胞。检测到与单个 MDA-MB-231 乳腺癌细胞相对应的 89 个肽样特征。此外,通过将 MALDI-MSI 数据与细胞颗粒上获得的 LC-MS/MS 数据相结合,我们成功鉴定出了与 17 种蛋白质(包括肌动蛋白、波形蛋白和转铁蛋白-2)相对应的 24 个肽段。
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MALDI MSI Protocol for Spatial Bottom-Up Proteomics at Single-Cell Resolution.

Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) started with spatial mapping of peptides and proteins. Since then, numerous bottom-up protocols have been developed. However, achievable spatial resolution and sample preparation with many wet steps hindered the development of single cell-level workflows for bottom-up spatial proteomics. This study presents a protocol optimized for MALDI-MSI measurements of single cells within the context of their 2D culture. Sublimation of CHCA, followed by a dip in ice-cold ammonium phosphate monobasic (AmP), produced peptide-rich mass spectra while maintaining matrix crystal sizes around 400 nm. This enables MALDI-MSI imaging of proteins in single cells grown on an ITO slide with a throughput of approximately 7800 cells per day. 89 peptide-like features corresponding to a single MDA-MB-231 breast cancer cell were detected. Furthermore, by combining the MALDI-MSI data with LC-MS/MS data obtained on cell pellets, we have successfully identified 24 peptides corresponding to 17 proteins, including actin, vimentin, and transgelin-2.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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