Bioinformatic Tools for Interpretation of Glycan Array Data

项目摘要/摘要 迫切需要分析工具来挖掘多聚糖阵列数据，以便准确和统计地研究 细胞表面多聚糖和多聚糖结合蛋白之间的相互作用。在此SBIR计划中，我们建议 开发了用于分析和解释糖链阵列数据的软硬件集成系统。这个 现有的糖链阵列数据挖掘工具的问题是，它们只给出了简单化的绑定信息 多聚糖的亚结构，而不是复杂的结合决定因素，并且它们在 一种自动化的方式。为了解决这个问题，Z Biotech，LLC(一家多糖阵列提供商)正在与Brian博士合作 Haab在Van Andel研究所(一家软件提供商)的实验室开发和改进了健壮的糖链阵列数据 采矿工具(MotifFinder)和糖链阵列图像分析程序(SignalFinder)。Z Biotech发明了一种 具有以多价形式在固体表面上显示多聚糖的优点的坚固的多聚糖阵列平台。这个 Z Biotech提供的多糖阵列具有卓越的性能，符合高质量微阵列的标准， 适用于生成用于评估MotifFinder和SignalFinder等分析工具的糖链阵列数据。 此外，HAAB研究小组一直在引领糖链阵列分析工具的开发。它们是 第一个在2010年发布了分析糖链阵列数据的算法，随后做出了贡献 有很多创新。在第一阶段项目中，我们开发了MotifFinder以实现分析的完全自动化，包括 识别糖链阵列数据中微妙模式和特征的新方法。此外，我们还开发了 SignalFinder，用于糖链阵列图像的自动图像分析。该软件程序解决了 阵列图像分析中以前的瓶颈和限制。它建立在独特的算法之上，该算法具有 在免疫荧光和微阵列图像的自动分析方面发挥了良好的作用。我们的目标是 第二阶段项目是通过对多糖阵列进行测试，提高两种多糖阵列采矿工具的能力 通过扩展的糖链文库。所得到的具有硬件和软件的糖链阵列分析系统将 对糖生物学研究、与糖相关的生物标志物表征和新药有广泛的影响 以糖类为目标的开发。

Project Summary / Abstract There is an urgent need of analysis tools for mining glycan array data in order to accurately and statistically study the interactions between cell-surface glycans and glycan-binding proteins. In this SBIR program we propose to develop a software and hardware integrated system for analysis and interpretation of glycan array data. The problem with existing glycan array data mining tools is that they give binding information only for simplistic substructures of glycans and not complex binding determinants, and they lack consistent signal quantification in an automated way. To solve this problem, Z Biotech, LLC (a glycan array provider) is teaming with Dr. Brian Haab’s lab at the Van Andel Institute (a software provider) to develop and improve a robust glycan-array data mining tool (MotifFinder) and a glycan-array image analysis program (SignalFinder). Z Biotech has invented a robust glycan array platform having the advantage to display glycans on solid surfaces in a multivalent form. The glycan arrays Z Biotech provides have superior performance with the criteria for a high-quality microarray, which is suitable for generation of glycan array data for evaluation of analysis tools like MotifFinder and SignalFinder. In addition, the Haab research group has been leading developments in glycan-array analysis tools. They were the first to publish an algorithm for the analysis of glycan-array data in 2010, and subsequently have contributed many innovations. In the Phase I project, we developed MotifFinder for fully automating the analysis, including new approaches for identifying subtle patterns and features in the glycan array data. In addition, we developed SignalFinder for the automated image analysis of glycan-array images. This software program addresses the previous bottlenecks and limitations in the array image analysis. It is built on the unique algorithm that has functioned well for the automated analysis of immunofluorescence and microarray images. The goal for the Phase II project is to enhance the ability of the two glycan-array mining tools through testing on glycan arrays with the expanded glycan library. The resultant glycan-array analysis system with hardware and software will have a broad impact on glycobiology research, glycan-related biomarker characterization, and new drug development targeting glycans.