Discrimination of Isomers of Released N- and O-Glycans Using Diagnostic Product Ions in Negative Ion PGC-LC-ESI-MS/MS View Full Text


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Article Info

DATE

2018-03-30

AUTHORS

Christopher Ashwood, Chi-Hung Lin, Morten Thaysen-Andersen, Nicolle H. Packer

ABSTRACT

Profiling cellular protein glycosylation is challenging due to the presence of highly similar glycan structures that play diverse roles in cellular physiology. As the anomericity and the exact linkage type of a single glycosidic bond can influence glycan function, there is a demand for improved and automated methods to confirm detailed structural features and to discriminate between structurally similar isomers, overcoming a significant bottleneck in the analysis of data generated by glycomics experiments. We used porous graphitized carbon-LC-ESI-MS/MS to separate and detect released N- and O-glycan isomers from mammalian model glycoproteins using negative mode resonance activation CID-MS/MS. By interrogating similar fragment spectra from closely related glycan isomers that differ only in arm position and sialyl linkage, product fragment ions for discrimination between these features were discovered. Using the Skyline software, at least two diagnostic fragment ions of high specificity were validated for automated discrimination of sialylation and arm position in N-glycan structures, and sialylation in O-glycan structures, complementing existing structural diagnostic ions. These diagnostic ions were shown to be useful for isomer discrimination using both linear and 3D ion trap mass spectrometers when analyzing complex glycan mixtures from cell lysates. Skyline was found to serve as a useful tool for automated assessment of glycan isomer discrimination. This platform-independent workflow can potentially be extended to automate the characterization and quantitation of other challenging glycan isomers.Graphical Abstractᅟ More... »

PAGES

1194-1209

References to SciGraph publications

  • 2016-09-30. Focus on Bioinformatics, Software, and MS-Based “Omics,” Honoring Dr. Michael J. MacCoss, Recipient of the 2015 ASMS Biemann Medal in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 2005-05-01. Fragmentation of negative ions from carbohydrates: Part 2. Fragmentation of high-mannose N-linked glycans in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 2005-05-01. Fragmentation of negative ions from carbohydrates: Part 1. Use of nitrate and other anionic adducts for the production of negative ion electrospray spectra from N-linked carbohydrates in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 2005-05-01. Fragmentation of negative ions from carbohydrates: Part 3. Fragmentation of hybrid and complex N-linked glycans in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 2011-03-31. Negative Ion CID Fragmentation of O-linked Oligosaccharide Aldoses—Charge Induced and Charge Remote Fragmentation in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 2017-09-13. Building a PGC-LC-MS N-glycan retention library and elution mapping resource in GLYCOCONJUGATE JOURNAL
  • 2014-01-28. Implementation of Dipolar Resonant Excitation for Collision Induced Dissociation with Ion Mobility/Time-of-Flight MS in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 1988-12. A systematic nomenclature for carbohydrate fragmentations in FAB-MS/MS spectra of glycoconjugates in GLYCOCONJUGATE JOURNAL
  • 2016-08-04. N-linked glycosite profiling and use of Skyline as a platform for characterization and relative quantification of glycans in differentiating xylem of Populus trichocarpa in ANALYTICAL AND BIOANALYTICAL CHEMISTRY
  • 2002-11-01. Structural analysis of underivatized neutral human milk oligosaccharides in the negative ion mode by nano-electrospray MSn (Part 1: Methodology) in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 2016-11-28. Cationized Carbohydrate Gas-Phase Fragmentation Chemistry in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 2013-04-20. Structural Feature Ions for Distinguishing N- and O-Linked Glycan Isomers by LC-ESI-IT MS/MS in JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY
  • 2012-06-07. Structural analysis of N- and O-glycans released from glycoproteins in NATURE PROTOCOLS
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    35 schema:description Profiling cellular protein glycosylation is challenging due to the presence of highly similar glycan structures that play diverse roles in cellular physiology. As the anomericity and the exact linkage type of a single glycosidic bond can influence glycan function, there is a demand for improved and automated methods to confirm detailed structural features and to discriminate between structurally similar isomers, overcoming a significant bottleneck in the analysis of data generated by glycomics experiments. We used porous graphitized carbon-LC-ESI-MS/MS to separate and detect released N- and O-glycan isomers from mammalian model glycoproteins using negative mode resonance activation CID-MS/MS. By interrogating similar fragment spectra from closely related glycan isomers that differ only in arm position and sialyl linkage, product fragment ions for discrimination between these features were discovered. Using the Skyline software, at least two diagnostic fragment ions of high specificity were validated for automated discrimination of sialylation and arm position in N-glycan structures, and sialylation in O-glycan structures, complementing existing structural diagnostic ions. These diagnostic ions were shown to be useful for isomer discrimination using both linear and 3D ion trap mass spectrometers when analyzing complex glycan mixtures from cell lysates. Skyline was found to serve as a useful tool for automated assessment of glycan isomer discrimination. This platform-independent workflow can potentially be extended to automate the characterization and quantitation of other challenging glycan isomers.Graphical Abstractᅟ
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