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Trends in Mass Spectrometry-Based Large-scale N-Glycopeptides Analysis

文献类型：期刊论文

作者Zeng Wen-Feng1,2; Zhang Yang3; Liu Ming-Qi3; Wu Jian-Qiang1,2; Zhang Xiao-Jin1,2; Yang Hao1,2; Liu Chao1; Chi Hao1; Zhang Kun1,2; Sun Rui-Xiang1
刊名PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS
出版日期2016-06-01
卷号43期号:6页码:550-562
关键词glycoproteomics glycopeptide glycosylation mass spectrometry
ISSN号1000-3282
DOI10.16476/j.pibb.2015.0402
英文摘要Identification of post-translational modifications is one of the most challenging tasks in proteomics, and the analysis of glycosylation is a very important yet difficult one among all post-translational modifications, which has attracted more and more attention in recent years. Mass spectrometry provides an effective way for the high-throughput analysis of glycosylation. Comparing with most of the other post-translational modifications, glycans are large and hetorogeneous, and glycans themselves could be fragmented in tandem mass spectrometry, in particular, the fragmentation patterns of glycans are quite different from those of peptides, resulting in difficulties in simultaneously identifying glycans and peptides of intact glycopeptides using proteomic analytical methods and software tools. The identification of intact N-glycopeptides is a hot spot in glycosylation research, for which various mass spectrometry-based analytical methods have been developed in recent years, including deglycosylation for the identification of N-glycosylated sites, electron transfer dissociation for the identification of peptide backbones, the combination of higher energy collisional dissociation and electron transfer dissociation or the combination of collision-induced dissociation and MS3 for complete identification of intact N-glycopeptides. In this article, we reviewed these analytical methods, and briefly pointed out the deficiencies of existing software tools, and suggested some future work.
资助项目National Natural Science Foundation of China[21227805] ; National Natural Science Foundation of China[31300680] ; National Basic Research Program of China[2013CB911203] ; National Basic Research Program of China[2012CB910602] ; National Basic Research Program of China[2010CB912701] ; National Basic Research Program of China[2011CB910600] ; Hi-Tech Research and Development Program of China[2014AA020901] ; Hi-Tech Research and Development Program of China[2014AA020902] ; Hi-Tech Research and Development Program of China[2012AA020203]
WOS研究方向Biochemistry & Molecular Biology ; Biophysics
语种英语
WOS记录号WOS:000378458700002
出版者CHINESE ACAD SCIENCES, INST BIOPHYSICS
源URL[http://119.78.100.204/handle/2XEOYT63/8327]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者He Si-Min
作者单位1.Chinese Acad Sci, Key Lab Intelligent Informat Proc, Inst Comp Techol, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Fudan Univ, Inst Biomed Sci, Shanghai 200032, Peoples R China
推荐引用方式
GB/T 7714		 Zeng Wen-Feng,Zhang Yang,Liu Ming-Qi,et al. Trends in Mass Spectrometry-Based Large-scale N-Glycopeptides Analysis[J]. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS,2016,43(6):550-562.
APA Zeng Wen-Feng.,Zhang Yang.,Liu Ming-Qi.,Wu Jian-Qiang.,Zhang Xiao-Jin.,...&He Si-Min.(2016).Trends in Mass Spectrometry-Based Large-scale N-Glycopeptides Analysis.PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS,43(6),550-562.
MLA Zeng Wen-Feng,et al."Trends in Mass Spectrometry-Based Large-scale N-Glycopeptides Analysis".PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS 43.6(2016):550-562.

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