Identifying intact N-glycopeptides from tandem mass spectrometry data using StrucGP.

Jiechen Shen, Zexuan Chen, Shisheng Sun
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Abstract

Protein glycosylation is of great importance in many biological processes. Glycosylation has been increasingly analyzed at the intact glycopeptide level using mass spectrometry to study site-specific glycosylation changes under different physiological and pathological conditions. StrucGP is a glycan database-independent search engine for the structural interpretation of N-glycoproteins at the site-specific level. To ensure the accuracy of results, two collision energies are implemented in instrument settings for each precursor to separate fragments of peptides and glycans. In addition, the false discovery rates (FDR) of peptides and glycans as well as probabilities of detailed structures are estimated. In this protocol, the use of StrucGP is demonstrated, including environment configuration, data preprocessing as well as result inspection and visualization using our in-house software "GlycoVisualTool". The described workflow should be able to be performed by anyone with basic proteomic knowledge.

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使用StrucGP从串联质谱数据中鉴定完整的n -糖肽。
蛋白质糖基化在许多生物过程中具有重要意义。糖基化越来越多地在完整糖肽水平上使用质谱分析来研究不同生理和病理条件下位点特异性糖基化的变化。StrucGP是一个独立于聚糖数据库的搜索引擎,用于在位点特异性水平上解释n -糖蛋白的结构。为了确保结果的准确性,在仪器设置中对每个前体实施两次碰撞能量,以分离肽和聚糖的片段。此外,估计了多肽和聚糖的错误发现率(FDR)以及详细结构的概率。在本协议中,演示了StrucGP的使用,包括环境配置,数据预处理以及使用我们的内部软件“GlycoVisualTool”进行结果检查和可视化。所描述的工作流程应该能够由具有基本蛋白质组学知识的任何人执行。
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CiteScore
1.30
自引率
0.00%
发文量
117
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