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利用聚糖阵列数据和GlycoSearch软件探索聚糖结合蛋白的特异性。

Exploring the specificities of glycan-binding proteins using glycan array data and the GlycoSearch software.

作者信息

Kletter Doron, Curnutte Bryan, Maupin Kevin A, Bern Marshall, Haab Brian B

机构信息

Palo Alto Research Center, Palo Alto, CA, USA.

出版信息

Methods Mol Biol. 2015;1273:203-14. doi: 10.1007/978-1-4939-2343-4_15.

Abstract

The glycan array is a powerful tool for investigating the specificities of glycan-binding proteins. By incubating a glycan-binding protein on a glycan array, the relative binding to hundreds of different oligosaccharides can be quantified in parallel. Based on these data, much information can be obtained about the preference of a glycan-binding protein for specific subcomponents of oligosaccharides or motifs. In many cases, the analysis and interpretation of glycan array data can be time consuming and imprecise if done manually. Recently we developed software, called GlycoSearch, to facilitate the analysis and interpretation of glycan array data based on the previously developed methods called Motif Segregation and Outlier Motif Analysis. Here we describe the principles behind the software, the use of the software, and an example application. The automated, objective, and precise analysis of glycan array data should enhance the value of the data for a broad range of research applications.

摘要

聚糖阵列是研究聚糖结合蛋白特异性的有力工具。通过在聚糖阵列上孵育聚糖结合蛋白,可以并行定量其与数百种不同寡糖的相对结合情况。基于这些数据,可以获得许多关于聚糖结合蛋白对寡糖特定亚组分或基序偏好的信息。在许多情况下,如果手动进行聚糖阵列数据的分析和解释,可能会既耗时又不准确。最近,我们开发了一款名为GlycoSearch的软件,以基于先前开发的基序分离和异常基序分析方法,促进聚糖阵列数据的分析和解释。在此,我们描述该软件背后的原理、软件的使用方法以及一个示例应用。对聚糖阵列数据进行自动化、客观且精确的分析,应能提升这些数据在广泛研究应用中的价值。

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