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增强负离子模式质谱中糖肽的检测和鉴定。

Enhanced detection and identification of glycopeptides in negative ion mode mass spectrometry.

机构信息

Department of Chemistry, University of California, Davis, California 95616, USA.

出版信息

Anal Chem. 2010 Dec 1;82(23):9654-62. doi: 10.1021/ac101856r. Epub 2010 Nov 4.

Abstract

A combined mass spectrometry (MS) and tandem mass spectrometry (MS/MS) approach implemented with matrix-assisted laser desorption ionization Fourier transform ion cyclotron resonance mass spectrometry (MALDI FTICR MS) in the negative ion mode is described for enhanced glycopeptide detection and MS/MS analysis. Positive ion mode MS analysis is widely used for glycopeptide characterization, but the analyses are hampered by potential charge-induced fragmentation of the glycopeptides and poor detection of the glycopeptides harboring sialic acids. Furthermore, tandem MS analysis (MS/MS) via collision-induced dissociation (CID) of glycopeptides in the positive ion mode predominantly yields glycan fragmentation with minimal information to verify the connecting peptide moiety. In this study, glycoproteins such as, bovine lactoferrin (b-LF) for N-glycosylation and kappa casein (k-CN) for O-glycosylation were analyzed in both the positive- and negative ion modes after digestion with bead-immobilized Pronase. For the b-LF analysis, 44 potential N-linked glycopeptides were detected in the positive ion mode while 61 potential N-linked glycopeptides were detected in the negative ion mode. By the same token, more O-linked glycopeptides mainly harboring sialic acids from k-CN were detected in the negative ion mode. The enhanced glycopeptide detection allowed improved site-specific analysis of protein glycosylation and superior to positive ion mode detection. Overall, the negative ion mode approach is aimed toward enhanced N- and O-linked glycopeptide detection and to serve as a complementary tool to positive ion mode MS/MS analysis.

摘要

本文描述了一种结合基质辅助激光解吸电离傅里叶变换离子回旋共振质谱(MALDI FTICR MS)的串联质谱(MS/MS)方法,用于增强糖肽的检测和 MS/MS 分析。正离子模式 MS 分析广泛用于糖肽表征,但由于糖肽可能受到电荷诱导的片段化和带有唾液酸的糖肽的检测不佳,分析受到阻碍。此外,糖肽在正离子模式下通过碰撞诱导解离(CID)的串联 MS 分析(MS/MS)主要产生聚糖片段化,提供的信息很少,无法验证连接肽部分。在这项研究中,牛乳铁蛋白(b-LF)进行 N-糖基化和κ-酪蛋白(k-CN)进行 O-糖基化等糖蛋白在消化后分别用珠固定化 Pronase 在正离子和负离子模式下进行分析。对于 b-LF 分析,在正离子模式下检测到 44 个潜在的 N-连接糖肽,而在负离子模式下检测到 61 个潜在的 N-连接糖肽。同样,从 k-CN 中检测到更多带唾液酸的 O-连接糖肽。增强的糖肽检测允许改进蛋白质糖基化的位点特异性分析,优于正离子模式检测。总的来说,负离子模式方法旨在增强 N-和 O-连接糖肽的检测,并作为正离子模式 MS/MS 分析的补充工具。

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