Literature DB >> 26161579

Convenient and Precise Strategy for Mapping N-Glycosylation Sites Using Microwave-Assisted Acid Hydrolysis and Characteristic Ions Recognition.

Cheng Ma, Jingyao Qu1, Jeffrey Meisner, Xinyuan Zhao2, Xu Li, Zhigang Wu, Hailiang Zhu, Zaikuan Yu, Lei Li, Yuxi Guo, Jing Song, Peng George Wang1.   

Abstract

N-glycosylation is one of the most prevalence protein post-translational modifications (PTM) which is involved in several biological processes. Alternation of N-glycosylation is associated with cellular malfunction and development of disease. Thus, investigation of protein N-glycosylation is crucial for diagnosis and treatment of disease. Currently, deglycosylation with peptide N-glycosidase F is the most commonly used technique in N-glycosylation analysis. Additionally, a common error in N-glycosylation site identification, resulting from protein chemical deamidation, has largely been ignored. In this study, we developed a convenient and precise approach for mapping N-glycosylation sites utilizing with optimized TFA hydrolysis, ZIC-HILIC enrichment, and characteristic ions of N-acetylglucosamine (GlcNAc) from higher-energy collisional dissociation (HCD) fragmentation. Using this method, we identified a total of 257 N-glycosylation sites and 144 N-glycoproteins from healthy human serum. Compared to deglycosylation with endoglycosidase, this strategy is more convenient and efficient for large scale N-glycosylation sites identification and provides an important alternative approach for the study of N-glycoprotein function.

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Year:  2015        PMID: 26161579     DOI: 10.1021/acs.analchem.5b02177

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


  8 in total

1.  Database-independent Protein Sequencing (DiPS) Enables Full-length de Novo Protein and Antibody Sequence Determination.

Authors:  Alon Savidor; Rotem Barzilay; Dalia Elinger; Yosef Yarden; Moshit Lindzen; Alexandra Gabashvili; Ophir Adiv Tal; Yishai Levin
Journal:  Mol Cell Proteomics       Date:  2017-03-27       Impact factor: 5.911

2.  Comparative analysis of Cu (I)-catalyzed alkyne-azide cycloaddition (CuAAC) and strain-promoted alkyne-azide cycloaddition (SPAAC) in O-GlcNAc proteomics.

Authors:  Shanshan Li; He Zhu; Jiajia Wang; Xiaomin Wang; Xu Li; Cheng Ma; Liuqing Wen; Bingchen Yu; Yuehua Wang; Jing Li; Peng George Wang
Journal:  Electrophoresis       Date:  2016-03-01       Impact factor: 3.535

Review 3.  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

4.  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

5.  Improvement of core-fucosylated glycoproteome coverage via alternating HCD and ETD fragmentation.

Authors:  Cheng Ma; Jingyao Qu; Xu Li; Xinyuan Zhao; Lei Li; Cong Xiao; Garrett Edmunds; Ebtesam Gashash; Jing Song; Peng George Wang
Journal:  J Proteomics       Date:  2016-06-06       Impact factor: 4.044

Review 6.  The role of post-translational modifications in driving abnormal cardiovascular complications at high altitude.

Authors:  Jun Hou; Xudong Wen; Pan Long; Shiqiang Xiong; Hanxiong Liu; Lin Cai; Haoyu Deng; Zhen Zhang
Journal:  Front Cardiovasc Med       Date:  2022-09-14

7.  Differential Analysis of N-glycopeptide Abundance and N-glycosylation Site Occupancy for Studying Protein N-glycosylation Dysregulation in Human Disease.

Authors:  Qi Zhang; Cheng Ma; Lian Li; Lih-Shen Chin
Journal:  Bio Protoc       Date:  2021-06-20

8.  Integrative glycoproteomics reveals protein N-glycosylation aberrations and glycoproteomic network alterations in Alzheimer's disease.

Authors:  Qi Zhang; Cheng Ma; Lih-Shen Chin; Lian Li
Journal:  Sci Adv       Date:  2020-10-02       Impact factor: 14.136

  8 in total

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