Literature DB >> 27114449

A Novel Quantitative Mass Spectrometry Platform for Determining Protein O-GlcNAcylation Dynamics.

Xiaoshi Wang1, Zuo-Fei Yuan1, Jing Fan2, Kelly R Karch1, Lauren E Ball3, John M Denu2, Benjamin A Garcia4.   

Abstract

Over the past decades, protein O-GlcNAcylation has been found to play a fundamental role in cell cycle control, metabolism, transcriptional regulation, and cellular signaling. Nevertheless, quantitative approaches to determine in vivo GlcNAc dynamics at a large-scale are still not readily available. Here, we have developed an approach to isotopically label O-GlcNAc modifications on proteins by producing (13)C-labeled UDP-GlcNAc from (13)C6-glucose via the hexosamine biosynthetic pathway. This metabolic labeling was combined with quantitative mass spectrometry-based proteomics to determine protein O-GlcNAcylation turnover rates. First, an efficient enrichment method for O-GlcNAc peptides was developed with the use of phenylboronic acid solid-phase extraction and anhydrous DMSO. The near stoichiometry reaction between the diol of GlcNAc and boronic acid dramatically improved the enrichment efficiency. Additionally, our kinetic model for turnover rates integrates both metabolomic and proteomic data, which increase the accuracy of the turnover rate estimation. Other advantages of this metabolic labeling method include in vivo application, direct labeling of the O-GlcNAc sites and higher confidence for site identification. Concentrating only on nuclear localized GlcNAc modified proteins, we are able to identify 105 O-GlcNAc peptides on 42 proteins and determine turnover rates of 20 O-GlcNAc peptides from 14 proteins extracted from HeLa nuclei. In general, we found O-GlcNAcylation turnover rates are slower than those published for phosphorylation or acetylation. Nevertheless, the rates widely varied depending on both the protein and the residue modified. We believe this methodology can be broadly applied to reveal turnovers/dynamics of protein O-GlcNAcylation from different biological states and will provide more information on the significance of O-GlcNAcylation, enabling us to study the temporal dynamics of this critical modification for the first time.
© 2016 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2016        PMID: 27114449      PMCID: PMC4937517          DOI: 10.1074/mcp.O115.049627

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


  55 in total

1.  O-linked N-acetylglucosamine proteomics of postsynaptic density preparations using lectin weak affinity chromatography and mass spectrometry.

Authors:  Keith Vosseller; Jonathan C Trinidad; Robert J Chalkley; Christian G Specht; Agnes Thalhammer; Aenoch J Lynn; June O Snedecor; Shenheng Guan; Katalin F Medzihradszky; David A Maltby; Ralf Schoepfer; Alma L Burlingame
Journal:  Mol Cell Proteomics       Date:  2006-02-01       Impact factor: 5.911

2.  Crosstalk between O-GlcNAcylation and proteolytic cleavage regulates the host cell factor-1 maturation pathway.

Authors:  Salima Daou; Nazar Mashtalir; Ian Hammond-Martel; Helen Pak; Helen Yu; Guangchao Sui; Jodi L Vogel; Thomas M Kristie; El Bachir Affar
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-01       Impact factor: 11.205

3.  Beta-N-acetylglucosamine (O-GlcNAc) is part of the histone code.

Authors:  Kaoru Sakabe; Zihao Wang; Gerald W Hart
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-02       Impact factor: 11.205

4.  Potent inhibition of DOT1L as treatment of MLL-fusion leukemia.

Authors:  Scott R Daigle; Edward J Olhava; Carly A Therkelsen; Aravind Basavapathruni; Lei Jin; P Ann Boriack-Sjodin; Christina J Allain; Christine R Klaus; Alejandra Raimondi; Margaret Porter Scott; Nigel J Waters; Richard Chesworth; Mikel P Moyer; Robert A Copeland; Victoria M Richon; Roy M Pollock
Journal:  Blood       Date:  2013-06-25       Impact factor: 22.113

Review 5.  Site-specific interplay between O-GlcNAcylation and phosphorylation in cellular regulation.

Authors:  Ping Hu; Shino Shimoji; Gerald W Hart
Journal:  FEBS Lett       Date:  2010-04-22       Impact factor: 4.124

6.  Quantitative analysis of both protein expression and serine / threonine post-translational modifications through stable isotope labeling with dithiothreitol.

Authors:  Keith Vosseller; Kirk C Hansen; Robert J Chalkley; Jonathan C Trinidad; Lance Wells; Gerald W Hart; Alma L Burlingame
Journal:  Proteomics       Date:  2005-02       Impact factor: 3.984

Review 7.  Chemical approaches to study O-GlcNAcylation.

Authors:  Partha S Banerjee; Gerald W Hart; Jin Won Cho
Journal:  Chem Soc Rev       Date:  2012-12-18       Impact factor: 54.564

8.  Analysis of phosphorylation sites on proteins from Saccharomyces cerevisiae by electron transfer dissociation (ETD) mass spectrometry.

Authors:  An Chi; Curtis Huttenhower; Lewis Y Geer; Joshua J Coon; John E P Syka; Dina L Bai; Jeffrey Shabanowitz; Daniel J Burke; Olga G Troyanskaya; Donald F Hunt
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-07       Impact factor: 11.205

9.  A chemical approach for identifying O-GlcNAc-modified proteins in cells.

Authors:  David J Vocadlo; Howard C Hang; Eun-Ju Kim; John A Hanover; Carolyn R Bertozzi
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-21       Impact factor: 11.205

Review 10.  Cycling of O-linked beta-N-acetylglucosamine on nucleocytoplasmic proteins.

Authors:  Gerald W Hart; Michael P Housley; Chad Slawson
Journal:  Nature       Date:  2007-04-26       Impact factor: 49.962

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  35 in total

Review 1.  Chemical and Biochemical Strategies To Explore the Substrate Recognition of O-GlcNAc-Cycling Enzymes.

Authors:  Chia-Wei Hu; Matthew Worth; Hao Li; Jiaoyang Jiang
Journal:  Chembiochem       Date:  2018-11-12       Impact factor: 3.164

2.  Heavy Sugar and Heavy Water Create Tunable Intact Protein Mass Increases for Quantitative Mass Spectrometry in Any Feed and Organism.

Authors:  Jeniffer V Quijada; Nicholas D Schmitt; Joseph P Salisbury; Jared R Auclair; Jeffrey N Agar
Journal:  Anal Chem       Date:  2016-10-28       Impact factor: 6.986

Review 3.  Integrating Proteomics and Targeted Metabolomics to Understand Global Changes in Histone Modifications.

Authors:  Johayra Simithy; Simone Sidoli; Benjamin A Garcia
Journal:  Proteomics       Date:  2018-04-20       Impact factor: 3.984

4.  Surface Glycoproteomic Analysis Reveals That Both Unique and Differential Expression of Surface Glycoproteins Determine the Cell Type.

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Journal:  Anal Chem       Date:  2019-05-03       Impact factor: 6.986

Review 5.  The emerging link between O-GlcNAcylation and neurological disorders.

Authors:  Xiaofeng Ma; He Li; Yating He; Junwei Hao
Journal:  Cell Mol Life Sci       Date:  2017-05-22       Impact factor: 9.261

Review 6.  Global and site-specific analysis of protein glycosylation in complex biological systems with Mass Spectrometry.

Authors:  Haopeng Xiao; Fangxu Sun; Suttipong Suttapitugsakul; Ronghu Wu
Journal:  Mass Spectrom Rev       Date:  2019-01-03       Impact factor: 10.946

7.  Specific Identification of Glycoproteins Bearing the Tn Antigen in Human Cells.

Authors:  Jiangnan Zheng; Haopeng Xiao; Ronghu Wu
Journal:  Angew Chem Int Ed Engl       Date:  2017-05-17       Impact factor: 15.336

Review 8.  Structural characterization of the O-GlcNAc cycling enzymes: insights into substrate recognition and catalytic mechanisms.

Authors:  Cassandra M Joiner; Hao Li; Jiaoyang Jiang; Suzanne Walker
Journal:  Curr Opin Struct Biol       Date:  2019-01-30       Impact factor: 6.809

9.  Mass spectrometric analysis of the N-glycoproteome in statin-treated liver cells with two lectin-independent chemical enrichment methods.

Authors:  Haopeng Xiao; Ju Eun Hwang; Ronghu Wu
Journal:  Int J Mass Spectrom       Date:  2017-05-27       Impact factor: 1.986

10.  Simultaneous Quantitation of Glycoprotein Degradation and Synthesis Rates by Integrating Isotope Labeling, Chemical Enrichment, and Multiplexed Proteomics.

Authors:  Haopeng Xiao; Ronghu Wu
Journal:  Anal Chem       Date:  2017-09-13       Impact factor: 6.986

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