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首页> 外文期刊>Rapid Communications in Mass Spectrometry: RCM >Application of the StrOligo algorithm for the automated structure assignment of complex N-linked glycans from glycoproteins using tandem mass spectrometry
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Application of the StrOligo algorithm for the automated structure assignment of complex N-linked glycans from glycoproteins using tandem mass spectrometry

机译:StrOligo算法在串联质谱法对糖蛋白中复杂的N-连接聚糖的自动结构分配中的应用

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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. Copyright (C) 2003 John Wiley Sons, Ltd. [References: 20]
机译:已知与蛋白质相关的寡糖赋予这些分子特定的构象和功能。如果不研究聚糖,蛋白质分析将是不完整的。但是,如果没有将自动化技术集成到糖组学中,那么蛋白质组学中的高通量技术将很快淹没当前的方法能力。为此将介绍StrOligo算法的新功能(Ethier等,Rapid Commun。Mass Spectrom。,2002; 16:1743)。获得了实验串联质谱,以使用带有矩阵辅助激光解吸/电离(MALDI)源的混合四极杆飞行时间(QqTOF)仪器测试该算法。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。为了减少用户干预的需要,对该程序进行了改进。 StrOligo仅将光谱剥离到单一同位素峰。该算法首先建立一个关系树,解释每个观察到的单糖部分的损失,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。然后为每个建议的结构给出一个分数,该分数反映了与实验结果的一致性。然后,程序将决定哪种组合是最佳组合,并使用经过修改的命名法标记实验质谱中的相关峰。通过为糖蛋白释放的几种聚糖分配结构,证明了该算法的有效性。任何聚糖的分析都在不到2分钟的时间内完成,这比人工解释有了很大的改进。版权所有(C)2003 John Wiley Sons,Ltd. [引用:20]

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