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StrOligo算法在利用串联质谱对糖蛋白中复杂N-连接聚糖进行自动结构分配中的应用。

Application of the StrOligo algorithm for the automated structure assignment of complex N-linked glycans from glycoproteins using tandem mass spectrometry.

作者信息

Ethier Martin, Saba Julian A, Spearman Maureen, Krokhin Oleg, Butler Michael, Ens Werner, Standing Kenneth G, Perreault Hélène

机构信息

Department of Chemistry, University of Manitoba, Winnipeg, MB, Canada.

出版信息

Rapid Commun Mass Spectrom. 2003;17(24):2713-20. doi: 10.1002/rcm.1252.

Abstract

Oligosaccharides associated with proteins are known to give these molecules specific conformations and functions. Analysis of proteins would not be complete without studying the glycans. However, high-throughput techniques in proteomics will soon overwhelm the current capacity of methods if no automation is incorporated into glycomics. New capabilities of the StrOligo algorithm introduced for this purpose (Ethier et al., Rapid Commun. Mass Spectrom., 2002; 16: 1743) will be discussed here. Experimental tandem mass spectra were acquired to test the algorithm using a hybrid quadrupole-time-of-flight (QqTOF) instrument with a matrix-assisted laser desorption/ionization (MALDI) source. The samples were N-linked oligosaccharides from monoclonal antibody IgG, beta interferon and fetuin, detached by enzymatic deglycosylation and labeled at the reducing end. Improvements to the program were made in order to reduce the need for user intervention. StrOligo strips the spectra down to monoisotopic peaks only. The algorithm first builds a relationship tree, accounting for each observed loss of a monosaccharide moiety, and then analyzes the tree and proposes possible structures from combinations of adducts and fragment ion types. A score, which reflects agreement with experimental results, is then given to each proposed structure. The program then decides which combination is the best one and labels relevant peaks in the experimental mass spectrum using a modified nomenclature. The usefulness of the algorithm has been demonstrated by assigning structures to several glycans released from glycoproteins. The analysis was completed in less than 2 minutes for any glycan, which is a substantial improvement over manual interpretation.

摘要

已知与蛋白质相关的寡糖能赋予这些分子特定的构象和功能。如果不研究聚糖,对蛋白质的分析将是不完整的。然而,如果糖组学不引入自动化技术,蛋白质组学中的高通量技术很快就会超出当前方法的处理能力。本文将讨论为此目的引入的StrOligo算法的新功能(Ethier等人,《快速质谱通讯》,2002年;16: 1743)。使用带有基质辅助激光解吸/电离(MALDI)源的混合四极杆-飞行时间(QqTOF)仪器获取实验串联质谱,以测试该算法。样品是来自单克隆抗体IgG、β干扰素和胎球蛋白的N-连接寡糖,通过酶促去糖基化分离并在还原端进行标记。对程序进行了改进,以减少用户干预的需求。StrOligo仅将光谱简化为单同位素峰。该算法首先构建一个关系树,考虑观察到的每个单糖部分的损失,然后分析该树,并从加合物和碎片离子类型的组合中提出可能的结构。然后给每个提出的结构一个反映与实验结果一致性的分数。该程序接着确定哪种组合是最佳组合,并使用修改后的命名法在实验质谱中标注相关峰。通过为从糖蛋白释放的几种聚糖指定结构,证明了该算法的实用性。对于任何聚糖,分析在不到2分钟内即可完成,这比人工解读有了显著改进。

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