Literature DB >> 34091217

Glycoproteomics: Making the Study of the Most Structurally Diverse and Most Abundant Post-Translational Modifications More Accessible to the Scientific Community.

Gerald W Hart1, Lance Wells1.   

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Year:  2021        PMID: 34091217      PMCID: PMC8724864          DOI: 10.1016/j.mcpro.2021.100086

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


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In 2013, we served as guest editors for the Glycomics special issue where the Athens guidelines for glycomic analyses were first revealed that have since been adopted by multiple journals (1). At that moment in time, we could not have easily conceived of a special issue dedicated to glycoproteomics. However, just 8 years later, we find ourselves presenting a special issue of Molecular & Cellular Proteomics on Glycoproteomics that introduces the reader to the recent explosion in front-end enrichment methods, analytical approaches, and back-end software solutions dedicated to glycoproteomics. This special issue includes nine review articles and nine research articles that introduce the reader to the exciting, challenging, and rapidly evolving field of glycoproteomics, which is so highly dependent on MS. Glycoproteomics has been front and center this past year as scientists tackled the COVID-19 pandemic, given that the spike glycoprotein of SARS-CoV-2, which is often the basis for antibody and vaccine therapeutics, is a trimer glycoprotein consisting of 66 occupied N-linked glycosylation sites, and that the host receptor, ACE2, is also heavily glycosylated (2, 3). Thus, an issue devoted to understanding this heterogenous class of post-translational modifications seems very timely. The number of various glycan moieties that can modify proteins easily surpasses the sum of all other post-translational modifications combined, and the majority of all expressed mammalian proteins (secreted, membrane bound, and intracellular) are glycosylated (4). Thus, it is essential to be able to characterize these challenging biomolecules to better understand the fundamental roles that glycoconjugates play in nearly all aspects of physiology and pathophysiology. A review by West et al. (5) gives us an intertaxa evolutionary perspective on glycomics, glycoproteomics, and glycogenomics. Riley et al. (6) provide a pragmatic guide to the plethora of enrichment strategies that exist for glycoproteins, while a review by Maynard and Chalkley (7) focuses specifically on enrichment and assignment of O-GlcNAc sites on proteins. Research articles by Kurz et al. (8) and Blazev et al. (9) both illustrate approaches for detailed glycomic analyses that can facilitate improved glycoproteomics. McDowell et al. (10) introduce us to imaging MS and lectin analyses for N-linked glycans applied to pancreatic cancer tissues, while Chen et al. (11) utilize enrichment combined with intact glycopeptide analyses to look at changes in glycoproteins of cerebral spinal fluid in Alzheimer’s disease. The research article by Martinez et al. (12) also exemplifies the utility of enrichment and detection methods for defining the O-GlcNAc transferase interactome. Ye and Vakhrushev (13) tackle the analytical approach of data-independent acquisition for glycoproteomics and Pegg et al. (14) implement the data-independent acquisition approach for the analyses of glycoproteins in sparkling wine. Pepi et al. (15) introduce us to the challenging class of glycosaminoglycans–proteoglycans, and Persson et al. (16) demonstrate the power of domain mapping of glycosaminoglycans for structural characterization of proteoglycans. Two reviews, by Cao et al. (17) and Delafield and Li (18), discuss recent advances in data analysis for glycans, intact glycopeptides, and quantification methods. The reviews by Caval et al. (19), and by Hackett and Zaia (20), tackle the challenging problem of describing the inherent heterogeneity of glycoproteins and in calculating the similarities between glycoproteins. Finally, Roushan et al. (21) illustrate the power of tools of multiple data analyses for glycoproteomics. In this special issue, we have attempted to capture many of the recent developments in enrichment and labeling strategies, MS-based interrogation approaches, and data analysis platforms for glycoproteins that have evolved over the last decade. Although multiple challenges still exist, the existing and continuing technological advancements in glycoproteomics are making the study of glycoproteins more amenable to the scientific community at large.

Conflict of interest

The authors declare no competing interests.
  20 in total

1.  Quantitative Proteomics Reveals that the OGT Interactome Is Remodeled in Response to Oxidative Stress.

Authors:  Marissa Martinez; Santosh Renuse; Simion Kreimer; Robert O'Meally; Peter Natov; Anil K Madugundu; Raja Sekhar Nirujogi; Raiha Tahir; Robert Cole; Akhilesh Pandey; Natasha E Zachara
Journal:  Mol Cell Proteomics       Date:  2021-03-12       Impact factor: 5.911

2.  Imaging Mass Spectrometry and Lectin Analysis of N-Linked Glycans in Carbohydrate Antigen-Defined Pancreatic Cancer Tissues.

Authors:  Colin T McDowell; Zachary Klamer; Johnathan Hall; Connor A West; Luke Wisniewski; Thomas W Powers; Peggi M Angel; Anand S Mehta; David N Lewin; Brian B Haab; Richard R Drake
Journal:  Mol Cell Proteomics       Date:  2020-12-08       Impact factor: 5.911

3.  In-depth Site-specific Analysis of N-glycoproteome in Human Cerebrospinal Fluid and Glycosylation Landscape Changes in Alzheimer's Disease.

Authors:  Zhengwei Chen; Qinying Yu; Qing Yu; Jillian Johnson; Richard Shipman; Xiaofang Zhong; Junfeng Huang; Sanjay Asthana; Cynthia Carlsson; Ozioma Okonkwo; Lingjun Li
Journal:  Mol Cell Proteomics       Date:  2021-04-20       Impact factor: 5.911

Review 4.  The Role of Data-Independent Acquisition for Glycoproteomics.

Authors:  Zilu Ye; Sergey Y Vakhrushev
Journal:  Mol Cell Proteomics       Date:  2021-01-07       Impact factor: 5.911

5.  Separation and Identification of Permethylated Glycan Isomers by Reversed Phase NanoLC-NSI-MSn.

Authors:  Simone Kurz; M Osman Sheikh; Shan Lu; Lance Wells; Michael Tiemeyer
Journal:  Mol Cell Proteomics       Date:  2021-01-26       Impact factor: 5.911

Review 6.  A Pragmatic Guide to Enrichment Strategies for Mass Spectrometry-Based Glycoproteomics.

Authors:  Nicholas M Riley; Carolyn R Bertozzi; Sharon J Pitteri
Journal:  Mol Cell Proteomics       Date:  2020-12-20       Impact factor: 5.911

Review 7.  Developments in Mass Spectrometry for Glycosaminoglycan Analysis: A Review.

Authors:  Lauren E Pepi; Patience Sanderson; Morgan Stickney; I Jonathan Amster
Journal:  Mol Cell Proteomics       Date:  2021-01-06       Impact factor: 5.911

8.  Quantitative Data-Independent Acquisition Glycoproteomics of Sparkling Wine.

Authors:  Cassandra L Pegg; Toan K Phung; Christopher H Caboche; Suchada Niamsuphap; Marshall Bern; Kate Howell; Benjamin L Schulz
Journal:  Mol Cell Proteomics       Date:  2020-12-21       Impact factor: 5.911

Review 9.  Methods for Enrichment and Assignment of N-Acetylglucosamine Modification Sites.

Authors:  Jason C Maynard; Robert J Chalkley
Journal:  Mol Cell Proteomics       Date:  2021-02-09       Impact factor: 5.911

Review 10.  Calculating Glycoprotein Similarities From Mass Spectrometric Data.

Authors:  William E Hackett; Joseph Zaia
Journal:  Mol Cell Proteomics       Date:  2021-01-06       Impact factor: 5.911

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