Dissecting the Dissociation Patterns of Fucosylated Glycopeptides Undergoing CID: A Case Study in Improving Automated Glycopeptide Analysis Scoring Algorithms.

The need to investigate the fragmentation of fucosylated glycopeptides is driven by recent work showing that at least one, and perhaps many, glycopeptide analysis scoring algorithms are less effective at identifying fucosylated glycopeptides than non-fucosylated glycopeptides. Herein, we study the CID fragmentation characteristics of fucosylated glycopeptides and the scoring rules of the glycopeptide analysis software, GlycoPep Grader, in an effort to improve automated assignments of these important glycopeptides. We identified some prominent product ions from a common fragmentation pathway of fucosylated glycopeptides that were not accounted for in the scoring rules. Based on this finding, we propose new scoring rules for fucosylated glycopeptides that can be incorporated into GlycoPep Grader and other similar analysis software tools to more accurately identify these species. The approach used here, to improve one particular scoring algorithm, could henceforth be used to improve any other algorithm that assigns glycopeptides based on their MS/MS data.

[1]  J. J. Conboy,et al.  The determination of glycopeptides by liquid chromatography/mass spectrometry with collision-induced dissociation , 1992, Journal of the American Society for Mass Spectrometry.

[2]  D. James,et al.  Control of Recombinant Monoclonal Antibody Effector Functions by Fc N‐Glycan Remodeling in Vitro , 2005, Biotechnology progress.

[3]  S. Iida,et al.  Nonfucosylated Therapeutic IgG1 Antibody Can Evade the Inhibitory Effect of Serum Immunoglobulin G on Antibody-Dependent Cellular Cytotoxicity through its High Binding to FcγRIIIa , 2006, Clinical Cancer Research.

[4]  M. Tajiri,et al.  Dissociation profile of protonated fucosyl glycopeptides and quantitation of fucosylation levels of glycoproteins by mass spectrometry. , 2009, Journal of proteome research.

[5]  Roy Jefferis,et al.  Glycosylation as a strategy to improve antibody-based therapeutics , 2009, Nature Reviews Drug Discovery.

[6]  Angela M Zivkovic,et al.  Simultaneous and extensive site-specific N- and O-glycosylation analysis in protein mixtures. , 2011, Journal of proteome research.

[7]  Y. Mechref,et al.  Quantification of glycopeptides by multiple reaction monitoring liquid chromatography/tandem mass spectrometry. , 2012, Rapid communications in mass spectrometry : RCM.

[8]  David Hua,et al.  GlycoPep grader: a web-based utility for assigning the composition of N-linked glycopeptides. , 2012, Analytical chemistry.

[9]  László Drahos,et al.  Fragmentation characteristics of glycopeptides , 2013 .

[10]  H. Desaire Glycopeptide Analysis, Recent Developments and Applications* , 2013, Molecular & Cellular Proteomics.

[11]  Heather Desaire,et al.  Software for automated interpretation of mass spectrometry data from glycans and glycopeptides. , 2013, The Analyst.

[12]  Radoslav Goldman,et al.  Exploring site-specific N-glycosylation microheterogeneity of haptoglobin using glycopeptide CID tandem mass spectra and glycan database search. , 2013, Journal of proteome research.

[13]  David Hua,et al.  Comparative Analysis of the Glycosylation Profiles of Membrane-Anchored HIV-1 Envelope Glycoprotein Trimers and Soluble gp140 , 2015, Journal of Virology.

[14]  Joseph Zaia,et al.  A review of methods for interpretation of glycopeptide tandem mass spectral data , 2015, Glycoconjugate Journal.

[15]  Chen-Chun Chen,et al.  MAGIC: an automated N-linked glycoprotein identification tool using a Y1-ion pattern matching algorithm and in silico MS² approach. , 2015, Analytical chemistry.

[16]  Xiaomeng Su,et al.  Two New Tools for Glycopeptide Analysis Researchers: A Glycopeptide Decoy Generator and a Large Data Set of Assigned CID Spectra of Glycopeptides. , 2017, Journal of proteome research.

[17]  Joseph Zaia,et al.  Algorithms and design strategies towards automated glycoproteomics analysis. , 2017, Mass spectrometry reviews.