Literature DB >> 22202184

Development of a combined chemical and enzymatic approach for the mass spectrometric identification and quantification of aberrant N-glycosylation.

Rui Chen1, Fangjun Wang, Yexiong Tan, Zhen Sun, Chunxia Song, Mingliang Ye, Hongyang Wang, Hanfa Zou.   

Abstract

Direct mass spectrometric analysis of aberrant protein glycosylation is a challenge to the current analytical techniques. Except lectin affinity chromatography, no other glycosylation enrichment techniques are available for analysis of aberrant glycosylation. In this study, we developed a combined chemical and enzymatic strategy as an alternative for the mass spectrometric analysis of aberrant glycosylation. Sialylated glycopeptides were enriched with reverse glycoblotting, cleaved by endoglycosidase F3 and analyzed by mass spectrometry with both neutral loss triggered MS(3) in collision induced dissociation (CID) and electron transfer dissociation (ETD). Interestingly, a great part of resulted glycopeptides were found with fucose attached to the N-acetylglucosamine (N-GlcNAc), which indicated that the aberrant glycosylation that is carrying both terminal sialylation and core fucosylation was identified. Totally, 69 aberrant N-glycosylation sites were identified in sera samples from hepatocellular carcinoma (HCC) patients. Following the identification, quantification of the level of this aberrant glycosylation was also carried out using stable isotope dimethyl labeling and pooled sera sample from liver cirrhosis and HCC was compared. Six glycosylation sites demonstrated elevated level of aberrancy, which demonstrated that our developed strategy was effective in both qualitative and quantitative studies of aberrant glycosylation.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22202184     DOI: 10.1016/j.jprot.2011.12.015

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  14 in total

Review 1.  Recent progress in quantitative glycoproteomics.

Authors:  Ying Zhang; Hongrui Yin; Haojie Lu
Journal:  Glycoconj J       Date:  2012-06-15       Impact factor: 2.916

Review 2.  Glycosylation and liver cancer.

Authors:  Anand Mehta; Harmin Herrera; Timothy Block
Journal:  Adv Cancer Res       Date:  2015-02-07       Impact factor: 6.242

Review 3.  Peptide identification by tandem mass spectrometry with alternate fragmentation modes.

Authors:  Adrian Guthals; Nuno Bandeira
Journal:  Mol Cell Proteomics       Date:  2012-05-17       Impact factor: 5.911

Review 4.  Stable isotope dimethyl labelling for quantitative proteomics and beyond.

Authors:  Jue-Liang Hsu; Shu-Hui Chen
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2016-10-28       Impact factor: 4.226

5.  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

6.  Label-free relative quantification of alpha-2-macroglobulin site-specific core-fucosylation in pancreatic cancer by LC-MS/MS.

Authors:  Zhenxin Lin; Haidi Yin; Andy Lo; Mack T Ruffin; Michelle A Anderson; Diane M Simeone; David M Lubman
Journal:  Electrophoresis       Date:  2013-12-27       Impact factor: 3.535

7.  Biomarkers for the Early Detection of Hepatocellular Carcinoma.

Authors:  Neehar D Parikh; Anand S Mehta; Amit G Singal; Timothy Block; Jorge A Marrero; Anna S Lok
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-04-01       Impact factor: 4.254

8.  Site-specific glycoproteomic analysis revealing increased core-fucosylation on FOLR1 enhances folate uptake capacity of HCC cells to promote EMT.

Authors:  Li Jia; Jun Li; Pengfei Li; Didi Liu; Jing Li; Jiechen Shen; Bojing Zhu; Chen Ma; Ting Zhao; Rongxia Lan; Liuyi Dang; Wang Li; Shisheng Sun
Journal:  Theranostics       Date:  2021-05-08       Impact factor: 11.556

Review 9.  Mass spectrometry-based N-glycoproteomics for cancer biomarker discovery.

Authors:  Ying Zhang; Jing Jiao; Pengyuan Yang; Haojie Lu
Journal:  Clin Proteomics       Date:  2014-05-05       Impact factor: 3.988

Review 10.  Quantitative mass spectrometric analysis of glycoproteins combined with enrichment methods.

Authors:  Yeong Hee Ahn; Jin Young Kim; Jong Shin Yoo
Journal:  Mass Spectrom Rev       Date:  2014-06-02       Impact factor: 10.946

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