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    Characterizing O-linked glycopeptides by electron transfer dissociation: fragmentation rules and applications in data analysis

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    Issue Date
    2013-08-22
    Author
    Zhu, Zhikai
    Su, Xiaomeng
    Clark, Daniel Forrest
    Go, Eden P.
    Desaire, Heather
    Publisher
    American Chemical Society
    Type
    Article
    Article Version
    Scholarly/refereed, author accepted manuscript
    Rights
    © 2013 American Chemical Society
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    Abstract
    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.
    URI
    http://hdl.handle.net/1808/23586
    DOI
    https://doi.org/10.1021/ac401814h
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    • Chemistry Scholarly Works [626]
    Citation
    Zhu, Z., Su, X., Clark, D. F., Go, E. P., & Desaire, H. (2013). Characterizing O-linked glycopeptides by electron transfer dissociation: fragmentation rules and applications in data analysis. Analytical Chemistry, 85(17), 8403–8411. http://doi.org/10.1021/ac401814h

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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