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Ambient DESI and LESA-MS Analysis of Proteins Adsorbed to a Biomaterial Surface Using In-Situ Surface Tryptic Digestion

机译:使用原位表面胰蛋白酶消化法对吸附到生物材料表面的蛋白质进行环境DESI和LESA-MS分析

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摘要

The detection and identification of proteins adsorbed onto biomaterial surfaces under ambient conditions has significant experimental advantages but has proven to be difficult to achieve with conventional measuring technologies. In this study, we present an adaptation of desorption electrospray ionization (DESI) and liquid extraction surface analysis (LESA) mass spectrometry (MS) coupled with in-situ surface tryptic digestion to identify protein species from a biomaterial surface. Cytochrome c, myoglobin, and BSA in a combination of single and mixture spots were printed in an array format onto Permanox slides, followed by in-situ surface digestion and detection via MS. Automated tandem MS performed on surface peptides was able to identify the proteins via MASCOT. Limits of detection were determined for DESI-MS and a comparison of DESI and LESA-MS peptide spectra characteristics and sensitivity was made. DESI-MS images of the arrays were produced and analyzed with imaging multivariate analysis to automatically separate peptide peaks for each of the proteins within a mixture into distinct components. This is the first time that DESI and LESA-MS have been used for the in-situ detection of surface digested proteins on biomaterial surfaces and presents a promising proof of concept for the use of ambient MS in the rapid and automated analysis of surface proteins.>Graphical abstract
机译:在环境条件下检测和识别吸附在生物材料表面的蛋白质具有明显的实验优势,但事实证明,使用传统的测量技术很难实现。在这项研究中,我们提出了解吸电喷雾电离(DESI)和液体萃取表面分析(LESA)质谱(MS)以及原位表面胰蛋白酶消化以从生物材料表面鉴定蛋白质种类的适应方案。将细胞色素c,肌红蛋白和BSA(单个斑点和混合斑点)的组合以阵列格式打印到Permanox载玻片上,然后进行原位表面消化和MS检测。对表面肽进行的自动串联质谱能够通过MASCOT鉴定蛋白质。确定了DESI-MS的检出限,并比较了DESI和LESA-MS的肽谱特征和灵敏度。生成阵列的DESI-MS图像并通过成像多元分析进行分析,以自动将混合物中每种蛋白质的肽峰分离为不同的成分。这是DESI和LESA-MS首次用于生物材料表面上表面消化的蛋白质的原位检测,并为环境MS在表面蛋白质的快速和自动化分析中的应用提供了有希望的概念证明。 <!-fig ft0-> <!-fig @ position =“ anchor” mode =文章f4-> <!-fig mode =“ anchred” f5-> >图形摘要<!- fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> <!-标题a7->ᅟ

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