Kletter Doron, Cao Zheng, Bern Marshall, Haab Brian
Palo Alto Research Center, Palo Alto, California, USA.
Curr Protoc Chem Biol. 2013;5(2):157-69. doi: 10.1002/9780470559277.ch130028.
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, GlycoSearch software was developed to facilitate the analysis and interpretation of glycan array data based on two previously developed methods, Motif Segregation and Outlier Motif Analysis. Here, the principles behind this method and the use of this new tool for mining glycan array data are described. The automated, objective, and precise analysis of glycan array data should enhance the value of these data for a broad range of research applications.
聚糖阵列是研究聚糖结合蛋白特异性的强大工具。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，基于之前开发的两种方法——基序分离和异常基序分析，开发了GlycoSearch软件，以促进聚糖阵列数据的分析和解释。本文描述了该方法背后的原理以及使用这个新工具挖掘聚糖阵列数据的方法。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。
