Literature DB >> 25737293

Automated measurement of site-specific N-glycosylation occupancy with SWATH-MS.

Ying Xu1, Ulla-Maja Bailey1, Benjamin L Schulz1.   

Abstract

Asparagine-linked glycosylation is a common post-translational modification of proteins catalyzed by oligosaccharyltransferase that is important in regulating many aspects of protein function. Analysis of protein glycosylation, including glycoproteomic measurement of the site-specific extent of glycosylation, remains challenging. Here, we developed methods combining enzymatic deglycosylation and protease digestion with SWATH-MS to enable automated measurement of site-specific occupancy at many glycosylation sites. Deglycosylation with peptide-endoglycosidase H, leaving a remnant N-acetylglucosamine on asparagines previously carrying high-mannose glycans, followed by trypsin digestion allowed robust automated measurement of occupancy at many sites. Combining deglycosylation with the more general peptide-N-glycosidase F enzyme with AspN protease digest allowed robust automated differentiation of nonglycosylated and deglycosylated forms of a given glycosylation site. Ratiometric analysis of deglycosylated peptides and the total intensities of all peptides from the corresponding proteins allowed relative quantification of site-specific glycosylation occupancy between yeast strains with various isoforms of oligosaccharyltransferase. This approach also allowed robust measurement of glycosylation sites in human salivary glycoproteins. This method for automated relative quantification of site-specific glycosylation occupancy will be a useful tool for research with model systems and clinical samples.
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Glycoproteomics; Glycosylation; Macroheterogeneity; Mass spectrometry

Mesh:

Substances:

Year:  2015        PMID: 25737293     DOI: 10.1002/pmic.201400465

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  27 in total

Review 1.  N-glycoprotein macroheterogeneity: biological implications and proteomic characterization.

Authors:  Lucia F Zacchi; Benjamin L Schulz
Journal:  Glycoconj J       Date:  2015-12-05       Impact factor: 2.916

Review 2.  Glycomics and glycoproteomics of viruses: Mass spectrometry applications and insights toward structure-function relationships.

Authors:  John F Cipollo; Lisa M Parsons
Journal:  Mass Spectrom Rev       Date:  2020-04-29       Impact factor: 10.946

3.  Overcoming Challenges in Structural Characterization of HIV-1 Envelope Glycoprotein by LC-MS/MS.

Authors:  Vera B Ivleva; Jonathan W Cooper; Frank J Arnold; Q Paula Lei
Journal:  J Am Soc Mass Spectrom       Date:  2019-05-20       Impact factor: 3.109

Review 4.  Maturing Glycoproteomics Technologies Provide Unique Structural Insights into the N-glycoproteome and Its Regulation in Health and Disease.

Authors:  Morten Thaysen-Andersen; Nicolle H Packer; Benjamin L Schulz
Journal:  Mol Cell Proteomics       Date:  2016-02-29       Impact factor: 5.911

5.  Posttranslational Modifications Drive Protein Stability to Control the Dynamic Beer Brewing Proteome.

Authors:  Edward D Kerr; Christopher H Caboche; Benjamin L Schulz
Journal:  Mol Cell Proteomics       Date:  2019-06-11       Impact factor: 5.911

Review 6.  Algorithms and design strategies towards automated glycoproteomics analysis.

Authors:  Han Hu; Kshitij Khatri; Joseph Zaia
Journal:  Mass Spectrom Rev       Date:  2016-01-04       Impact factor: 10.946

7.  Analysis of substrate specificity of Trypanosoma brucei oligosaccharyltransferases (OSTs) by functional expression of domain-swapped chimeras in yeast.

Authors:  Kristina Poljak; Jörg Breitling; Robert Gauss; George Rugarabamu; Mauro Pellanda; Markus Aebi
Journal:  J Biol Chem       Date:  2017-10-17       Impact factor: 5.157

Review 8.  Mass Spectrometry Approaches to Glycomic and Glycoproteomic Analyses.

Authors:  L Renee Ruhaak; Gege Xu; Qiongyu Li; Elisha Goonatilleke; Carlito B Lebrilla
Journal:  Chem Rev       Date:  2018-03-19       Impact factor: 60.622

9.  SWATH-MS Glycoproteomics Reveals Consequences of Defects in the Glycosylation Machinery.

Authors:  Lucia F Zacchi; Benjamin L Schulz
Journal:  Mol Cell Proteomics       Date:  2016-04-19       Impact factor: 5.911

10.  Quantitative Profiling of N-linked Glycosylation Machinery in Yeast Saccharomyces cerevisiae.

Authors:  Kristina Poljak; Nathalie Selevsek; Elsy Ngwa; Jonas Grossmann; Marie Estelle Losfeld; Markus Aebi
Journal:  Mol Cell Proteomics       Date:  2017-10-09       Impact factor: 5.911

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