Literature DB >> 23001842

A new method for quantitative analysis of cell surface glycoproteome.

Zhen Sun1, Rui Chen, Kai Cheng, Hongwei Liu, Hongqiang Qin, Mingliang Ye, Hanfa Zou.   

Abstract

As the altered glycosylation expressions of cell surface proteins are associated with many diseases, glycoproteomics approach has been widely applied to characterization of surface glycosylation alteration. In general, the abundances of proteolytic glycopeptides derived from corresponding glycoproteins can be measured to determine the abundances of glycoproteins. However, this quantification strategy cannot distinguish whether the changes are results from changes of protein abundance or changes in glycosite occupancy. For the accurate and specific quantification of the cell surface glycosylation profile, we proposed a modified cell surface-capturing strategy where the glycopeptides were submitted to LC-MS/MS analysis directly for identification of glycoproteins and the non-glycopeptides were isotopically labelled for quantification of glycoproteins. This strategy was applied to comparatively analyze cell surface glycoproteins of two human cell lines, i.e. Chang Liver and HepG2 cells. Totally 341 glycoproteins were identified with 82.4% specificity for cell membrane proteins and 33 glycoproteins were quantified with significant expression change between the two cell lines. The differential expressions of two selected proteins (EMMPRIN and BCAM) were validated by Western blotting. This method enables specific and accurate analysis of the cell surface glycoproteins and may have broad application in the field of biomarker and drug target discovery.
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 23001842     DOI: 10.1002/pmic.201200150

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  6 in total

Review 1.  N-glycoprotein macroheterogeneity: biological implications and proteomic characterization.

Authors:  Lucia F Zacchi; Benjamin L Schulz
Journal:  Glycoconj J       Date:  2015-12-05       Impact factor: 2.916

2.  Overexpression of CD147 is associated with poor prognosis, tumor cell migration and ERK signaling pathway activation in hepatocellular carcinoma.

Authors:  Wenjing Xiao; Shufen Zhao; Fangzhen Shen; Jun Liang; Jing Chen
Journal:  Exp Ther Med       Date:  2017-07-19       Impact factor: 2.447

Review 3.  Coupling enrichment methods with proteomics for understanding and treating disease.

Authors:  Amit Kumar; Deniz Baycin-Hizal; Joseph Shiloach; Michael A Bowen; Michael J Betenbaugh
Journal:  Proteomics Clin Appl       Date:  2015-01-19       Impact factor: 3.603

4.  Comparative proteome profile of human placenta from normal and preeclamptic pregnancies.

Authors:  Fuqiang Wang; Zhonghua Shi; Ping Wang; Wei You; Gaolin Liang
Journal:  PLoS One       Date:  2013-10-18       Impact factor: 3.240

Review 5.  Protein-centric N-glycoproteomics analysis of membrane and plasma membrane proteins.

Authors:  Bingyun Sun; Leroy Hood
Journal:  J Proteome Res       Date:  2014-05-01       Impact factor: 4.466

Review 6.  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

  6 in total

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