Literature DB >> 19921957

Tandem 18O stable isotope labeling for quantification of N-glycoproteome.

Ze Liu1, Jing Cao, Yifeng He, Liang Qiao, Congjian Xu, Haojie Lu, Pengyuan Yang.   

Abstract

A new strategy using tandem (18)O stable isotope labeling (TOSIL) to quantify the N-glycosylation site occupancy is reported. Three heavy oxygen atoms are introduced into N-glycosylated peptides: two (18)O atoms are incorporated into the carboxyl terminal of all peptides during a tryptic digestion, and the third (18)O atom is incorporated into the N-glycosylation site of asparagines-linked sugar chains specifically via a N-glycosidase F (PNGase F)-mediated hydrolysis. Comparing samples treated in H(2)(18)O and samples treated in H(2)(16)O, a unique mass shift of 6 Da can be shown for N-glycosylated peptide with single glycosylation site, which could be easily distinguished from those nonglycosite peptide pairs with a mass difference of 4 Da only. The relative quantities of N-glycosylated and its parent protein-levels were obtained simultaneous by measuring the intensity ratios of (18)O/(16)O for glycosylated (6 Da) and for nonglycosylated (4 Da) peptides, respectively. Thus, a comparison of these two ratios can be utilized to evaluate the changes of occupancy of N-glycosylation at specific sites between healthy and diseased individuals. The TOSIL approach yielded good linearity in quantitative response within 10-fold dynamic range with the correlation coefficient r(2) > 0.99. The standard deviation (SD) ranged from 0.06 to 0.21, for four glycopeptides from two model glycoproteins. Furthermore, serums from a patient with ovarian cancer and healthy individual were used as test examples to validate the novel TOSIL method. A total of 86 N-glycosylation sites were quantified and N-glycosylation levels of 56 glycopeptides showed significant changes. Most changes in N-glycosylation at specific sites have the same trends as those of protein expression levels; however, the occupancies of three N-glycosylation sites were significantly changed with no change in proteins levels.

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Year:  2010        PMID: 19921957     DOI: 10.1021/pr900528j

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  31 in total

1.  Characterization of the human submandibular/sublingual saliva glycoproteome using lectin affinity chromatography coupled to multidimensional protein identification technology.

Authors:  Mireya Gonzalez-Begne; Bingwen Lu; Lujian Liao; Tao Xu; Gurrinder Bedi; James E Melvin; John R Yates
Journal:  J Proteome Res       Date:  2011-10-13       Impact factor: 4.466

2.  A novel method for relative quantitation of N-glycans by isotopic labeling using ¹⁸O-water.

Authors:  Shujuan Tao; Ron Orlando
Journal:  J Biomol Tech       Date:  2014-12

Review 3.  Recent progress in quantitative glycoproteomics.

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

Review 4.  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

5.  Large-Scale Measurement of Absolute Protein Glycosylation Stoichiometry.

Authors:  Shisheng Sun; Hui Zhang
Journal:  Anal Chem       Date:  2015-06-15       Impact factor: 6.986

Review 6.  Glycoprotein disease markers and single protein-omics.

Authors:  Kevin Chandler; Radoslav Goldman
Journal:  Mol Cell Proteomics       Date:  2013-02-11       Impact factor: 5.911

Review 7.  Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: an update for 2009-2010.

Authors:  David J Harvey
Journal:  Mass Spectrom Rev       Date:  2014-05-26       Impact factor: 10.946

8.  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

Review 9.  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

10.  Site-specific glycoforms of haptoglobin in liver cirrhosis and hepatocellular carcinoma.

Authors:  Petr Pompach; Zuzana Brnakova; Miloslav Sanda; Jing Wu; Nathan Edwards; Radoslav Goldman
Journal:  Mol Cell Proteomics       Date:  2013-02-06       Impact factor: 5.911

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