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

doi:10.16476/j.pibb.2015.0402

	Trends in Mass Spectrometry-Based Large-scale N-Glycopeptides Analysis
	Zeng Wen-Feng 1,2; Zhang Yang 3; Liu Ming-Qi 3; Wu Jian-Qiang 1,2; Zhang Xiao-Jin 1,2; Yang Hao 1,2; Liu Chao 1; Chi Hao 1; Zhang Kun 1,2; Sun Rui-Xiang 1; Yang Peng-Yuan 3; He Si-Min 1,2
	2016-06-01
发表期刊	PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS
ISSN	1000-3282
卷号	43 期号:6 页码:550-562
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.
关键词	glycoproteomics glycopeptide glycosylation mass spectrometry
DOI	10.16476/j.pibb.2015.0402
收录类别	SCI
语种	英语
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
WOS类目	Biochemistry & Molecular Biology ; Biophysics
WOS记录号	WOS:000378458700002
出版者	CHINESE ACAD SCIENCES, INST BIOPHYSICS
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/8328
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.