糖胺聚糖的生物信息学

Han Hu , Yang Mao , Yu Huang , Cheng Lin , Joseph Zaia
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引用次数: 5

摘要

细胞表面硫酸肝素通过结合生长因子和生长因子受体调节多种信号通路。这些高硫多糖以空间和时间调控的方式表达,在动物生理的各个方面发挥重要作用。为了了解硫酸肝素与蛋白质的结合,有必要开发仪器测序方法。为此,我们和其他人已经证明了活化电子解离(ExD)串联质谱法的有效性。ExD方法的价值在于产生了极其丰富的串联质谱。挑战在于需要生物信息学方法将原始数据转化为HS糖序列。在本文中,我们将介绍HS-SEQ,一种为此目的开发的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioinformatics of glycosaminoglycans

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.

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