Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Mapping the O‐glycoproteome using site‐specific extraction of O‐linked glycopeptides (EXoO)

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Protein glycosylation is one of the most abundant post‐translational modifications. However, detailed analysis of O‐linked glycosylation, a major type of protein glycosylation, has been severely impeded by the scarcity of suitable methodologies. Here, a chemoenzymatic method is introduced for the site‐specific extraction of O‐linked glycopeptides (EXoO), which enabled the mapping of over 3,000 O‐linked glycosylation sites and definition of their glycans on over 1,000 proteins in human kidney tissues, T cells, and serum. This large‐scale localization of O‐linked glycosylation sites demonstrated that EXoO is an effective method for defining the site‐specific O‐linked glycoproteome in different types of sample. Detailed structural analysis of the sites identified revealed conserved motifs and topological orientations facing extracellular space, the cell surface, the lumen of the Golgi, and the endoplasmic reticulum (ER). EXoO was also able to reveal significant differences in the O‐linked glycoproteome of tumor and normal kidney tissues pointing to its broader use in clinical diagnostics and therapeutics.

          Related collections

          Most cited references47

          • Record: found
          • Abstract: found
          • Article: not found

          Control of mucin-type O-glycosylation: a classification of the polypeptide GalNAc-transferase gene family.

          Glycosylation of proteins is an essential process in all eukaryotes and a great diversity in types of protein glycosylation exists in animals, plants and microorganisms. Mucin-type O-glycosylation, consisting of glycans attached via O-linked N-acetylgalactosamine (GalNAc) to serine and threonine residues, is one of the most abundant forms of protein glycosylation in animals. Although most protein glycosylation is controlled by one or two genes encoding the enzymes responsible for the initiation of glycosylation, i.e. the step where the first glycan is attached to the relevant amino acid residue in the protein, mucin-type O-glycosylation is controlled by a large family of up to 20 homologous genes encoding UDP-GalNAc:polypeptide GalNAc-transferases (GalNAc-Ts) (EC 2.4.1.41). Therefore, mucin-type O-glycosylation has the greatest potential for differential regulation in cells and tissues. The GalNAc-T family is the largest glycosyltransferase enzyme family covering a single known glycosidic linkage and it is highly conserved throughout animal evolution, although absent in bacteria, yeast and plants. Emerging studies have shown that the large number of genes (GALNTs) in the GalNAc-T family do not provide full functional redundancy and single GalNAc-T genes have been shown to be important in both animals and human. Here, we present an overview of the GalNAc-T gene family in animals and propose a classification of the genes into subfamilies, which appear to be conserved in evolution structurally as well as functionally.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Prediction, conservation analysis, and structural characterization of mammalian mucin-type O-glycosylation sites.

            O-GalNAc-glycosylation is one of the main types of glycosylation in mammalian cells. No consensus recognition sequence for the O-glycosyltransferases is known, making prediction methods necessary to bridge the gap between the large number of known protein sequences and the small number of proteins experimentally investigated with regard to glycosylation status. From O-GLYCBASE a total of 86 mammalian proteins experimentally investigated for in vivo O-GalNAc sites were extracted. Mammalian protein homolog comparisons showed that a glycosylated serine or threonine is less likely to be precisely conserved than a nonglycosylated one. The Protein Data Bank was analyzed for structural information, and 12 glycosylated structures were obtained. All positive sites were found in coil or turn regions. A method for predicting the location for mucin-type glycosylation sites was trained using a neural network approach. The best overall network used as input amino acid composition, averaged surface accessibility predictions together with substitution matrix profile encoding of the sequence. To improve prediction on isolated (single) sites, networks were trained on isolated sites only. The final method combines predictions from the best overall network and the best isolated site network; this prediction method correctly predicted 76% of the glycosylated residues and 93% of the nonglycosylated residues. NetOGlyc 3.1 can predict sites for completely new proteins without losing its performance. The fact that the sites could be predicted from averaged properties together with the fact that glycosylation sites are not precisely conserved indicates that mucin-type glycosylation in most cases is a bulk property and not a very site-specific one. NetOGlyc 3.1 is made available at www.cbs.dtu.dk/services/netoglyc.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              pLogo: a probabilistic approach to visualizing sequence motifs.

              Methods for visualizing protein or nucleic acid motifs have traditionally relied upon residue frequencies to graphically scale character heights. We describe the pLogo, a motif visualization in which residue heights are scaled relative to their statistical significance. A pLogo generation tool is publicly available at http://plogo.uconn.edu/ and supports real-time conditional probability calculations and visualizations.
                Bookmark

                Author and article information

                Contributors
                huizhang@jhu.edu
                Journal
                Mol Syst Biol
                Mol. Syst. Biol
                10.1002/(ISSN)1744-4292
                MSB
                msb
                Molecular Systems Biology
                John Wiley and Sons Inc. (Hoboken )
                1744-4292
                20 November 2018
                November 2018
                : 14
                : 11 ( doiID: 10.1002/msb.v14.11 )
                : e8486
                Affiliations
                [ 1 ] Department of Pathology Johns Hopkins University School of Medicine Baltimore MD USA
                Author notes
                [*] [* ]Corresponding author. Tel: +1 410 502 8149: E‐mail: huizhang@ 123456jhu.edu
                Author information
                http://orcid.org/0000-0002-5023-2155
                Article
                MSB188486
                10.15252/msb.20188486
                6243375
                30459171
                a1945256-2baf-4511-92b5-2185743c0b43
                © 2018 The Authors. Published under the terms of the CC BY 4.0 license

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 06 June 2018
                : 16 October 2018
                : 17 October 2018
                Page count
                Figures: 3, Tables: 0, Pages: 12, Words: 8995
                Funding
                Funded by: HHS | NIH | National Institute of Allergy and Infectious Diseases (NIAID)
                Award ID: R21AI122382
                Funded by: HHS | NIH | National Cancer Institute (NCI)
                Award ID: U01CA152813
                Award ID: U24CA210985
                Funded by: amfAR, Foundation for AIDS Research (amfAR)
                Award ID: 109551‐61‐RGRL
                Funded by: HHS | NIH | National Heart, Lung, and Blood Institute (NHLBI)
                Award ID: P01HL107153
                Categories
                Method
                Methods
                Custom metadata
                2.0
                msb188486
                November 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.5.3 mode:remove_FC converted:20.11.2018

                Quantitative & Systems biology
                glycoproteomics,glycosylation,o‐galnac,o‐linked,site‐specific,genome-scale & integrative biology,methods & resources,post-translational modifications, proteolysis & proteomics

                Comments

                Comment on this article