Literature DB >> 22393263

How to dig deeper? Improved enrichment methods for mucin core-1 type glycopeptides.

Z Darula1, J Sherman, K F Medzihradszky.   

Abstract

Two different workflows were tested in order to develop methods that provide deeper insight into the secreted O-glycoproteome. Bovine serum samples were subjected to lectin affinity-chromatography both at the protein- and peptide-level in order to selectively isolate glycopeptides with the most common, mucin core-1 sugar. This enrichment step was implemented with either protein-level mixed-bed ion-exchange chromatography or with peptide-level electrostatic repulsion hydrophilic interaction chromatography. Both methods led to at least 65% of the identified products being glycopeptides, in comparison to ≈ 25% without the additional chromatography steps [Darula, Z., and Medzihradszky, K. F. (2009) Affinity enrichment and characterization of mucin core-1 type glycopeptides from bovine serum. Mol. Cell. Proteomics 8, 2515-2526]. In order to improve not only the isolation but also the characterization of the glycopeptides exoglycosidases were used to eliminate carbohydrate extensions from the directly peptide-bound GalNAc units. Consequent tandem MS analysis of the mixtures using higher-energy collision-dissociation and electron-transfer dissociation led to the identification of 124 glycosylation sites in 51 proteins. While the electron-transfer dissociation data provided the bulk of the information for both modified sequence and modification site assignment, the higher-energy collision-dissociation data frequently yielded confirmation of the peptide identity, and revealed the presence of some core-2 or core-3 oligosaccharides. More than two-thirds of the sites as well as the proteins have never been reported modified.

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Year:  2012        PMID: 22393263      PMCID: PMC3394963          DOI: 10.1074/mcp.O111.016774

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


  29 in total

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Authors:  Robert J Chalkley; Peter R Baker; Katalin F Medzihradszky; Aenoch J Lynn; A L Burlingame
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Journal:  Proc Natl Acad Sci U S A       Date:  2011-06-28       Impact factor: 11.205

4.  Simultaneous glycan-peptide characterization using hydrophilic interaction chromatography and parallel fragmentation by CID, higher energy collisional dissociation, and electron transfer dissociation MS applied to the N-linked glycoproteome of Campylobacter jejuni.

Authors:  Nichollas E Scott; Benjamin L Parker; Angela M Connolly; Jana Paulech; Alistair V G Edwards; Ben Crossett; Linda Falconer; Daniel Kolarich; Steven P Djordjevic; Peter Højrup; Nicolle H Packer; Martin R Larsen; Stuart J Cordwell
Journal:  Mol Cell Proteomics       Date:  2010-04-01       Impact factor: 5.911

5.  The first global screening of protein substrates bearing protein-bound 3,4-Dihydroxyphenylalanine in Escherichia coli and human mitochondria.

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Review 7.  Location, location, location: new insights into O-GalNAc protein glycosylation.

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8.  Clustered O-glycans of IgA1: defining macro- and microheterogeneity by use of electron capture/transfer dissociation.

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Journal:  Mol Cell Proteomics       Date:  2010-09-07       Impact factor: 5.911

9.  Affinity enrichment and characterization of mucin core-1 type glycopeptides from bovine serum.

Authors:  Zsuzsanna Darula; Katalin F Medzihradszky
Journal:  Mol Cell Proteomics       Date:  2009-08-12       Impact factor: 5.911

10.  Improved identification of O-linked glycopeptides from ETD data with optimized scoring for different charge states and cleavage specificities.

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  25 in total

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Journal:  Mol Cell Proteomics       Date:  2015-03-26       Impact factor: 5.911

Review 2.  Analysis of Mammalian O-Glycopeptides-We Have Made a Good Start, but There is a Long Way to Go.

Authors:  Zsuzsanna Darula; Katalin F Medzihradszky
Journal:  Mol Cell Proteomics       Date:  2017-11-21       Impact factor: 5.911

3.  Electron-Transfer/Higher-Energy Collision Dissociation (EThcD)-Enabled Intact Glycopeptide/Glycoproteome Characterization.

Authors:  Qing Yu; Bowen Wang; Zhengwei Chen; Go Urabe; Matthew S Glover; Xudong Shi; Lian-Wang Guo; K Craig Kent; Lingjun Li
Journal:  J Am Soc Mass Spectrom       Date:  2017-07-10       Impact factor: 3.109

4.  Recent advances in mass spectrometry (MS)-based glycoproteomics in complex biological samples.

Authors:  Zhengwei Chen; Junfeng Huang; Lingjun Li
Journal:  Trends Analyt Chem       Date:  2018-10-15       Impact factor: 12.296

5.  Finding the Sweet Spot in ERLIC Mobile Phase for Simultaneous Enrichment of N-Glyco and Phosphopeptides.

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6.  Large-scale site-specific mapping of the O-GalNAc glycoproteome.

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7.  O-glycosylation sites identified from mucin core-1 type glycopeptides from human serum.

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Review 8.  Liquid chromatography-tandem mass spectrometry-based fragmentation analysis of glycopeptides.

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Journal:  Glycoconj J       Date:  2016-01-18       Impact factor: 2.916

9.  Precision mapping of the human O-GalNAc glycoproteome through SimpleCell technology.

Authors:  Catharina Steentoft; Sergey Y Vakhrushev; Hiren J Joshi; Yun Kong; Malene B Vester-Christensen; Katrine T-B G Schjoldager; Kirstine Lavrsen; Sally Dabelsteen; Nis B Pedersen; Lara Marcos-Silva; Ramneek Gupta; Eric Paul Bennett; Ulla Mandel; Søren Brunak; Hans H Wandall; Steven B Levery; Henrik Clausen
Journal:  EMBO J       Date:  2013-04-12       Impact factor: 11.598

10.  The GalNAc-type O-Glycoproteome of CHO cells characterized by the SimpleCell strategy.

Authors:  Zhang Yang; Adnan Halim; Yoshiki Narimatsu; Hiren Jitendra Joshi; Catharina Steentoft; Katrine Ter-Borch Gram Schjoldager; Morten Alder Schulz; Natalie R Sealover; Kevin J Kayser; Eric Paul Bennett; Steven B Levery; Sergey Y Vakhrushev; Henrik Clausen
Journal:  Mol Cell Proteomics       Date:  2014-08-04       Impact factor: 5.911

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