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首页> 外文期刊>Analytica chimica acta >Direct glycan structure determination of intact N-linked glycopeptides by low-energy collision-induced dissociation tandem mass spectrometry and predicted spectral library searching
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Direct glycan structure determination of intact N-linked glycopeptides by low-energy collision-induced dissociation tandem mass spectrometry and predicted spectral library searching

机译:低能碰撞诱导解离串联质谱法和预测光谱库搜索直接确定完整的N-连接糖肽的聚糖结构

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Intact glycopeptide MS analysis to reveal site-specific protein glycosylation is an important frontier of proteomics. However, computational tools for analyzing MS/MS spectra of intact glycopeptides are still limited and not well-integrated into existing workflows. In this work, a new computational tool which combines the spectral library building/searching tool, SpectraST (Lam et al. Nat. Methods 2008, 5, 873-875), and the glycopeptide fragmentation prediction tool, MassAnalyzer (Zhang et al. Anal. Chem. 2010, 82, 10194 -10202) for intact glycopeptide analysis has been developed. Specifically, this tool enables the determination of the glycan structure directly from low-energy collision-induced dissociation (CID) spectra of intact glycopeptides. Given a list of possible glycopeptide sequences as input, a sample-specific spectral library of MassAnalyzer-predicted spectra is built using SpectraST. Glycan identification from CID spectra is achieved by spectral library searching against this library, in which both m/z and intensity information of the possible fragmentation ions are taken into consideration for improved accuracy. We validated our method using a standard glycoprotein, human transferrin, and evaluated its potential to be used in site-specific glycosylation profiling of glycoprotein datasets from LC-MS/MS. In addition, we further applied our method to reveal, for the first time, the site-specific N-glycosylation profile of recombinant human acetylcholinesterase expressed in HEK293 cells. For maximum usability, SpectraST is developed as part of the Trans-Proteomic Pipeline (TPP), a freely available and open-source software suite for MS data analysis. (C) 2016 Elsevier B.V. All rights reserved.
机译:完整的糖肽MS分析显示位点特异性蛋白质糖基化是蛋白质组学的重要领域。但是,用于分析完整糖肽MS / MS谱图的计算工具仍然有限,并且不能很好地集成到现有的工作流程中。在这项工作中,一个新的计算工具结合了光谱库构建/搜索工具SpectraST(Lam等人,Nat。Methods 2008,5,873-875)和糖肽片段预测工具,MassAnalyzer(Zhang等人,Anal Chem。2010,82,10194 -10202)已开发出用于完整糖肽分析的化合物。具体而言,该工具能够直接从完整糖肽的低能碰撞诱导解离(CID)光谱确定聚糖结构。给定可能的糖肽序列列表作为输入,使用SpectraST构建MassAnalyzer预测的光谱的样品特定光谱库。通过在该谱库中搜索谱库,可以从CID谱中识别出聚糖,其中考虑了可能的碎片离子的m / z和强度信息,以提高准确性。我们使用标准糖蛋白,人类转铁蛋白验证了我们的方法,并评估了其可用于LC-MS / MS糖蛋白数据集的位点特异性糖基化分析的潜力。此外,我们进一步应用我们的方法首次揭示了在HEK293细胞中表达的重组人乙酰胆碱酯酶的位点特异性N-糖基化谱。为了获得最大的可用性,SpectraST是跨蛋白质组学管道(TPP)的一部分,TPP是可免费获得的开源数据套件,用于MS数据分析。 (C)2016 Elsevier B.V.保留所有权利。

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