Literature DB >> 22892896

Large-scale quantitative glycoproteomics analysis of site-specific glycosylation occupancy.

Sheng Pan1, Yasuko Tamura, Ru Chen, Damon May, Martin W McIntosh, Teresa A Brentnall.   

Abstract

Disease-associated aberrant glycosylation may be protein specific and glycosylation site specific. Quantitative assessment of glycosylation changes at a site-specific molecular level may represent one of the initial steps for systematically revealing the glycosylation abnormalities associated with a disease or biological state. Comparative quantitative profiling of glycoproteome to provide accurate quantification of site-specific glycosylation occupancy has been a challenging task, requiring a concerted approach drawing from a variety of techniques. In this report, we present a quantitative glycoproteomics method that allows global scale identification and comparative quantification of glycosylation site occupancy using mass spectrometry. We further demonstrated this approach by quantitatively characterizing the N-glycoproteome of human pancreas.

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Year:  2012        PMID: 22892896      PMCID: PMC3463725          DOI: 10.1039/c2mb25268f

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  43 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

2.  Lectin affinity capture, isotope-coded tagging and mass spectrometry to identify N-linked glycoproteins.

Authors:  Hiroyuki Kaji; Haruna Saito; Yoshio Yamauchi; Takashi Shinkawa; Masato Taoka; Jun Hirabayashi; Ken-ichi Kasai; Nobuhiro Takahashi; Toshiaki Isobe
Journal:  Nat Biotechnol       Date:  2003-05-18       Impact factor: 54.908

3.  Stable-isotope dimethyl labeling for quantitative proteomics.

Authors:  Jue-Liang Hsu; Sheng-Yu Huang; Nan-Haw Chow; Shu-Hui Chen
Journal:  Anal Chem       Date:  2003-12-15       Impact factor: 6.986

4.  Development of serum glycoproteomic profiling technique; simultaneous identification of glycosylation sites and site-specific quantification of glycan structure changes.

Authors:  Koji Ueda; Sachiko Takami; Naomi Saichi; Yataro Daigo; Nobuhisa Ishikawa; Nobuoki Kohno; Masaru Katsumata; Akio Yamane; Minoru Ota; Taka-Aki Sato; Yusuke Nakamura; Hidewaki Nakagawa
Journal:  Mol Cell Proteomics       Date:  2010-09       Impact factor: 5.911

Review 5.  Mass spectrometry based glycoproteomics--from a proteomics perspective.

Authors:  Sheng Pan; Ru Chen; Ruedi Aebersold; Teresa A Brentnall
Journal:  Mol Cell Proteomics       Date:  2010-08-24       Impact factor: 5.911

6.  Exploring the binding profiles of ConA, boronic acid and WGA by MALDI-TOF/TOF MS and magnetic particles.

Authors:  Katrin Sparbier; Thomas Wenzel; Markus Kostrzewa
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2006-07-12       Impact factor: 3.205

7.  Development of glycoprotein capture-based label-free method for the high-throughput screening of differential glycoproteins in hepatocellular carcinoma.

Authors:  Rui Chen; Yexiong Tan; Min Wang; Fangjun Wang; Zhenzhen Yao; Liwei Dong; Mingliang Ye; Hongyang Wang; Hanfa Zou
Journal:  Mol Cell Proteomics       Date:  2011-04-07       Impact factor: 5.911

8.  A new strategy for identification of N-glycosylated proteins and unambiguous assignment of their glycosylation sites using HILIC enrichment and partial deglycosylation.

Authors:  Per Hägglund; Jakob Bunkenborg; Felix Elortza; Ole Nørregaard Jensen; Peter Roepstorff
Journal:  J Proteome Res       Date:  2004 May-Jun       Impact factor: 4.466

9.  Software platform for rapidly creating computational tools for mass spectrometry-based proteomics.

Authors:  Damon May; Wendy Law; Matt Fitzgibbon; Qiaojun Fang; Martin McIntosh
Journal:  J Proteome Res       Date:  2009-06       Impact factor: 4.466

10.  A list of candidate cancer biomarkers for targeted proteomics.

Authors:  Malu Polanski; N Leigh Anderson
Journal:  Biomark Insights       Date:  2007-02-07
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  12 in total

Review 1.  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

2.  The GlycoFilter: a simple and comprehensive sample preparation platform for proteomics, N-glycomics and glycosylation site assignment.

Authors:  Hui Zhou; John W Froehlich; Andrew C Briscoe; Richard S Lee
Journal:  Mol Cell Proteomics       Date:  2013-07-02       Impact factor: 5.911

3.  Large-scale identification of core-fucosylated glycopeptide sites in pancreatic cancer serum using mass spectrometry.

Authors:  Zhijing Tan; Haidi Yin; Song Nie; Zhenxin Lin; Jianhui Zhu; Mack T Ruffin; Michelle A Anderson; Diane M Simeone; David M Lubman
Journal:  J Proteome Res       Date:  2015-03-09       Impact factor: 4.466

Review 4.  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

5.  Reliable determination of site-specific in vivo protein N-glycosylation based on collision-induced MS/MS and chromatographic retention time.

Authors:  Benlian Wang; Yaroslav Tsybovsky; Krzysztof Palczewski; Mark R Chance
Journal:  J Am Soc Mass Spectrom       Date:  2014-02-19       Impact factor: 3.109

6.  Disrupting glutamine metabolic pathways to sensitize gemcitabine-resistant pancreatic cancer.

Authors:  Ru Chen; Lisa A Lai; Yumi Sullivan; Melissa Wong; Lei Wang; Jonah Riddell; Linda Jung; Venu G Pillarisetty; Teresa A Brentnall; Sheng Pan
Journal:  Sci Rep       Date:  2017-08-11       Impact factor: 4.379

7.  N-Glycoprofiling Analysis for Carbohydrate Composition and Site-Occupancy Determination in a Poly-Glycosylated Protein: Human Thyrotropin of Different Origins.

Authors:  Maria Teresa C P Ribela; Renata Damiani; Felipe D Silva; Eliana R Lima; João E Oliveira; Cibele N Peroni; Peter A Torjesen; Carlos R Soares; Paolo Bartolini
Journal:  Int J Mol Sci       Date:  2017-02-03       Impact factor: 5.923

Review 8.  The glycosylation landscape of pancreatic cancer.

Authors:  Jennifer Munkley
Journal:  Oncol Lett       Date:  2019-01-03       Impact factor: 2.967

9.  Quantitative glycoproteomics analysis reveals changes in N-glycosylation level associated with pancreatic ductal adenocarcinoma.

Authors:  Sheng Pan; Ru Chen; Yasuko Tamura; David A Crispin; Lisa A Lai; Damon H May; Martin W McIntosh; David R Goodlett; Teresa A Brentnall
Journal:  J Proteome Res       Date:  2014-01-28       Impact factor: 4.466

Review 10.  Glycoproteomic and glycomic databases.

Authors:  Deniz Baycin Hizal; Daniel Wolozny; Joseph Colao; Elena Jacobson; Yuan Tian; Sharon S Krag; Michael J Betenbaugh; Hui Zhang
Journal:  Clin Proteomics       Date:  2014-04-13       Impact factor: 3.988

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