文章基本信息

标题：Bioinformatics of glycosaminoglycans
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作者：Han Hu ; Han Hu ; Yang Mao 等
期刊名称：Perspectives in Science
印刷版ISSN：2213-0209
电子版ISSN：2213-0209
出版年度：2017
卷号：11
页码：40-44
DOI：10.1016/j.pisc.2016.01.014
语种：English
出版社：Elsevier
摘要：Summary Cell surface heparan sulfates modulate many signalling pathways by binding growth factors and growth factor receptors. Expressed in a spatially and temporally regulated manner, these highly sulfated polysaccharides play important roles in all aspects of animal physiology. To understand heparan sulfate-protein binding, it is necessary to develop instrumental sequencing methods. Towards this end, we and others have demonstrated the effectiveness of activated electron dissociation (ExD) tandem mass spectrometry. The value in the ExD approach is that extremely rich tandem mass spectra are produced. The challenge is that bioinformatics methods are needed to convert the raw data into HS saccharide sequences. In this article we describe HS–SEQ, an algorithm developed for this purpose.
关键词：Glycosaminoglycan;Heparan sulfate;Tandem mass spectrometry;Electron transfer dissociation;Divide-and-conquer