Identification of glycan branching patterns using multistage mass spectrometry with spectra tree analysis
Wang, Hui1,4; Zhang, Jingwei1,3; Dong, Junchuan1,4; Hou, Meijie1,4; Pan, Weiyi1,4; Bu, Dongbo1,4; Zhou, Jinyu2,4; Zhang, Qi1,4; Wang, Yaojun1,5; Zhao, Keli2,4
刊名JOURNAL OF PROTEOMICS
2020-04-15
卷号217页码:7
关键词Multi-stage mass spectrometry Glycan branching pattern Glycan identification Spectra tree Isomeric glycan
ISSN号1874-3919
DOI10.1016/j.jprot.2020.103649
英文摘要Glycans are crucial to a wide range of biological processes, and their biological activities are closely related to the branching patterns of structures. Different from the simple linear chains of proteins, branching patterns of glycans are more complicated, making their identification extremely challenging. Tandem mass spectrometry (MS2) cannot provide sufficient structural information to deduce glycan branching patterns even with the assistance of various bioinformatic tools and algorithms.The promising technology to identify glycan branching patterns is multi-stage mass spectrometry (MSn). The production-relationship among MSn spectra of a glycan is essentially a tree, making deducing glycan structures from MSn spectra a great challenge. In the present study, we report an approach called glyBranch (glycan Branching pattern identification based on spectra tree) to fully exploit the information contained in the MSn spectra tree for glycan identification. Using 14 glycan standards, including 2 pairs with isomeric sequence, and 16 complex N-glycans isolated from RNase B and IgG, we demonstrated the successful application of glyBranch to branching pattern analysis. The source code of glyBranch is available at https://github.com/bigict/glyBranch/. We have also developed a web-server, which is freely accessible at http://glycan.ict.ac.cn/glyBranch/. Significance: Glycans are crucial in various biological processes and their functions are closely related to the details of their structures; thus, the identification of glycan branching patterns is of great significance to biological studies. Multistage mass spectrometry (MSn) can provide detailed structural information by generating multiple-level fragments through consecutive fragmentation; however, the interpretation of numerous MSn spectra is extremely challenging. In this study, we present an approach called glyBranch (glycan Branching pattern identification based on spectra tree) to exploit the information contained in MSn spectra tree for glycan identification. This approach will greatly facilitate the automated identification of glycan structures and related biological studies.
资助项目National Key Research and Development Program of China[2018YFC0910405] ; National Natural Science Foundation of China[31671369] ; National Natural Science Foundation of China[31600650] ; National Natural Science Foundation of China[31770775] ; International Partnership Program of Chinese Academy of Sciences[153311KYSB20150012]
WOS研究方向Biochemistry & Molecular Biology
语种英语
出版者ELSEVIER
WOS记录号WOS:000527374100003
内容类型期刊论文
源URL[http://119.78.100.204/handle/2XEOYT63/15425]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Huang, Chuncui; Sun, Shiwei
作者单位1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
2.Chinese Acad Sci, Inst Biophys, Beijing 100101, Peoples R China
3.SUNY Stony Brook, Dept Comp Sci, Stony Brook, NY 11794 USA
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.China Agr Univ, Coll Informat & Elect Engn, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
Wang, Hui,Zhang, Jingwei,Dong, Junchuan,et al. Identification of glycan branching patterns using multistage mass spectrometry with spectra tree analysis[J]. JOURNAL OF PROTEOMICS,2020,217:7.
APA Wang, Hui.,Zhang, Jingwei.,Dong, Junchuan.,Hou, Meijie.,Pan, Weiyi.,...&Sun, Shiwei.(2020).Identification of glycan branching patterns using multistage mass spectrometry with spectra tree analysis.JOURNAL OF PROTEOMICS,217,7.
MLA Wang, Hui,et al."Identification of glycan branching patterns using multistage mass spectrometry with spectra tree analysis".JOURNAL OF PROTEOMICS 217(2020):7.
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