Literature DB >> 26894747

Site-Specific Quantification of Surface N-Glycoproteins in Statin-Treated Liver Cells.

Haopeng Xiao1, George X Tang1, Ronghu Wu1.   

Abstract

The frequent modification of cell-surface proteins by N-linked glycans is known to be correlated with many biological processes. Aberrant glycosylation on surface proteins is associated with different cellular statuses and disease progression. However, it is extraordinarily challenging to comprehensively and site-specifically analyze glycoproteins located only on the cell surface. Currently mass spectrometry (MS)-based proteomics provides the possibility to analyze the N-glycoproteome, but effective separation and enrichment methods are required for the analysis of surface glycoproteins prior to MS measurement. The introduction of bio-orthogonal groups into proteins accelerates research in the robust visualization, identification, and quantification of proteins. Here we have comprehensively evaluated different sugar analogs in the analysis of cell-surface N-glycoproteins by combining copper-free click chemistry and MS-based proteomics. Comparison of three sugar analogs, N-azidoacetylgalactosamine (GalNAz), N-azidoacetylglucosamine (GlcNAz), and N-azidoacetylmannosamine (ManNAz), showed that metabolic labeling with GalNAz resulted in the greatest number of glycoproteins and glycosylation sites in biological duplicate experiments. GalNAz was then employed for the quantification experiment in statin-treated HepG2 liver cells, and 280 unique N-glycosylated sites were quantified from 168 surface proteins. The quantification results demonstrated that many glycosylation sites on surface proteins were down-regulated in statin-treated cells compared to untreated cells because statin prevents the synthesis of dolichol, which is essential for the formation of dolichol-linked precursor oligosaccharides. Several glycosylation sites in proteins that participate in the Alzheimer's disease pathway were down-regulated. This method can be extensively applied for the global analysis of the cell-surface N-glycoproteome.

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Year:  2016        PMID: 26894747     DOI: 10.1021/acs.analchem.5b04871

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  23 in total

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

Authors:  Suttipong Suttapitugsakul; Lindsey D Ulmer; Chendi Jiang; Fangxu Sun; Ronghu Wu
Journal:  Anal Chem       Date:  2019-05-03       Impact factor: 6.986

2.  Systematic and site-specific analysis of N-glycoproteins on the cell surface by integrating bioorthogonal chemistry and MS-based proteomics.

Authors:  Fangxu Sun; Ronghu Wu
Journal:  Methods Enzymol       Date:  2019-07-29       Impact factor: 1.600

3.  Comprehensive Analysis of Protein Glycation Reveals Its Potential Impacts on Protein Degradation and Gene Expression in Human Cells.

Authors:  Fangxu Sun; Suttipong Suttapitugsakul; Haopeng Xiao; Ronghu Wu
Journal:  J Am Soc Mass Spectrom       Date:  2019-05-09       Impact factor: 3.109

4.  Enzymatic Tagging of Glycoproteins on the Cell Surface for Their Global and Site-Specific Analysis with Mass Spectrometry.

Authors:  Fangxu Sun; Suttipong Suttapitugsakul; Ronghu Wu
Journal:  Anal Chem       Date:  2019-03-05       Impact factor: 6.986

Review 5.  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

Review 6.  Mass Spectrometry Approaches to Glycomic and Glycoproteomic Analyses.

Authors:  L Renee Ruhaak; Gege Xu; Qiongyu Li; Elisha Goonatilleke; Carlito B Lebrilla
Journal:  Chem Rev       Date:  2018-03-19       Impact factor: 60.622

7.  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

8.  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

Review 9.  Mass Spectrometry-Based Chemical and Enzymatic Methods for Global Analysis of Protein Glycosylation.

Authors:  Haopeng Xiao; Suttipong Suttapitugsakul; Fangxu Sun; Ronghu Wu
Journal:  Acc Chem Res       Date:  2018-07-16       Impact factor: 22.384

10.  Evaluation and optimization of reduction and alkylation methods to maximize peptide identification with MS-based proteomics.

Authors:  Suttipong Suttapitugsakul; Haopeng Xiao; Johanna Smeekens; Ronghu Wu
Journal:  Mol Biosyst       Date:  2017-11-21
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