Characterizing O-linked glycopeptides by electron transfer dissociation: fragmentation rules and applications in data analysis.
Characterizing O-linked glycopeptides by electron transfer dissociation: fragmentation rules and applications in data analysis.
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DOI：
10.1021/ac401814h
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发表时间：
2013-09-03
影响因子：
7.4
通讯作者：
Desaire, Heather
中科院分区：
文献类型：
--
作者：
Zhu, Zhikai;Su, Xiaomeng;Clark, Daniel F.;Go, Eden P.;Desaire, Heather
研究蛋白质O-糖基化仍然是一个分析挑战。与N-连接聚糖不同，O-糖基化位点不在已知的共有序列内。此外，O-聚糖是异质的，具有许多潜在的修饰位点。电子转移解离（ETD）是分析这些糖肽的首选方法，因为聚糖侧链在ETD中是完整的，并且糖基化位点可以基于c和z片段离子进行定位。尽管如此，新的软件是必要的解释O-糖肽ETD光谱，以加快分析工作流程。为了解决这一迫切需要，我们研究了ETD中O-糖肽的片段化，并发现了有助于其鉴定的有用规则。通过将规则实施到算法中以针对ETD-MS/MS数据对潜在分配进行评分，我们将该方法应用于从各种O-糖基化蛋白质（包括粘蛋白、促红细胞生成素、胎球蛋白和HIV包膜蛋白1086.C gp 120）生成的糖肽。在每种情况下，位点特异性O-糖肽组合物被正确分配，证明了我们的方法在分析糖肽ETD数据的优点。本文所述的算法可以容易地结合到其他自动化糖组学工具中。
Studying protein O-glycosylation remains an analytical challenge. Different from N-linked glycans, the O-glycosylation site is not within a known consensus sequence. Additionally, O-glycans are heterogeneous with numerous potential modification sites. Electron transfer dissociation (ETD) is the method of choice in analyzing these glycopeptides since the glycan side chain is intact in ETD, and the glycosylation site can be localized on the basis of the c and z fragment ions. Nonetheless, new software is necessary for interpreting O-glycopeptide ETD spectra in order to expedite the analysis workflow. To address the urgent need, we studied the fragmentation of O-glycopeptides in ETD and found useful rules that facilitate their identification. By implementing the rules into an algorithm to score potential assignments against ETD-MS/MS data, we applied the method to glycopeptides generated from various O-glycosylated proteins including mucin, erythropoietin, fetuin and an HIV envelope protein, 1086.C gp120. The site-specific O-glycopeptide composition was correctly assigned in every case, proving the merits of our method in analyzing glycopeptide ETD data. The algorithm described herein can be easily incorporated into other automated glycomics tools.
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DOI：
10.1007/s13361-011-0273-y
发表时间：
2012-01-01
影响因子：
3.2
作者：
Hart-Smith, Gene;Raftery, Mark J.
通讯作者：
Raftery, Mark J.
影响因子：
4.4
作者：
Nwosu, Charles C.;Seipert, Richard R.;Strum, John S.;Hua, Serenus S.;An, Hyun Joo;Zivkovic, Angela M.;German, Bruce J.;Lebrilla, Carlito B.
通讯作者：
Lebrilla, Carlito B.
影响因子：
3.4
作者：
Deutsch, Eric W.;Shteynberg, David;Lam, Henry;Sun, Zhi;Eng, Jimmy K.;Carapito, Christine;von Haller, Priska D.;Tasman, Natalie;Mendoza, Luis;Farrah, Terry;Aebersold, Ruedi
通讯作者：
Aebersold, Ruedi
影响因子：
4.4
作者：
Go EP;Liao HX;Alam SM;Hua D;Haynes BF;Desaire H
通讯作者：
Desaire H
影响因子：
4.3
作者：
Renfrow, Matthew B.;Mackay, C. Logan;Novak, Jan
通讯作者：
Novak, Jan