Bioinformatic Tools for Interpretation of Glycan Array Data

用于解释聚糖阵列数据的生物信息学工具

• 批准号: 10335208
• 负责人: Brian B. Haab
• 金额: $ 54.49万
• 依托单位: Z BIOTECH, LLC
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-01-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10335208
• 关键词: Address; Algorithmic Analysis; Algorithms; Animals; Binding; Binding Proteins; Bioinformatics; Biological; Biological Markers; Biotechnology; Cell membrane; Cell surface; Characteristics; Communicable Diseases; Communities; Complex; Computer software; Data; Data Analyses; Data Set; Development; Disease; Drug Screening; Epitopes; Evaluation; Event; GAG Gene; Generations; Glycobiology; Glycopeptides; Glycosaminoglycans; Goals; Human; Image; Image Analysis; Imaging Device; Immunofluorescence Immunologic; Institutes; Laboratories; Libraries; Malignant Neoplasms; Mining; Morphology; Mucins; Names; Output; Pattern; Performance; Phase; Plants; Polysaccharides; Problem Solving; Protein Analysis; Protein-Carbohydrate Interaction; Proteins; Provider; Publishing; Reporting; Research; Research Institute; Research Personnel; Sampling; Services; Shapes; Signal Transduction; Small Business Innovation Research Grant; Software Tools; Solid; Spottings; Statistical Study; Structure; Sulfate; Surface; System; Systems Analysis; Testing; Therapeutic; Vaccines; Validation; Variant; automated analysis; automated image analysis; base; bioinformatics tool; biomarker discovery; cancer immunotherapy; commercial application; data mining; data tools; digital; drug development; glycomimetics; graphical user interface; improved; innovation; macromolecule; microbial; new technology; novel strategies; novel therapeutics; pathogen; programs; receptor; statistics; tool

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.

项目概要/摘要 迫切需要挖掘聚糖阵列数据的分析工具，以便准确地进行统计研究 在这个 SBIR 项目中，我们建议研究细胞表面聚糖和聚糖结合蛋白之间的相互作用。 开发用于分析和解释聚糖阵列数据的软件和硬件集成系统。 现有聚糖阵列数据挖掘工具的问题是它们仅提供简单化的结合信息 聚糖的子结构而不是复杂的结合决定簇，并且它们缺乏一致的信号定量 为了解决这个问题，Z Biotech, LLC（聚糖阵列提供商）正在与 Brian 博士合作。 Van Andel Institute（软件提供商）的 Haab 实验室致力于开发和改进可靠的聚糖阵列数据 Z Biotech 发明了一种挖掘工具 (MotifFinder) 和聚糖阵列图像分析程序 (SignalFinder)。 强大的聚糖阵列平台具有以多价形式在固体表面上展示聚糖的优势。 Z Biotech 提供的聚糖阵列具有卓越的性能，符合高质量微阵列的标准， 适用于生成聚糖阵列数据，以评估 MotifFinder 和 SignalFinder 等分析工具。 此外，Haab 研究小组一直引领聚糖阵列分析工具的开发。 2010 年第一个发布聚糖阵列数据分析算法，随后做出了贡献 在第一阶段项目中，我们开发了 MotifFinder 用于完全自动化分析，包括 此外，我们还开发了识别聚糖阵列数据中微妙模式和特征的新方法。 SignalFinder 用于对聚糖阵列图像进行自动图像分析。 以前阵列图像分析中的瓶颈和限制是建立在具有独特算法的基础上的。 免疫荧光和微阵列图像的自动分析功能良好。 二期项目是通过对聚糖阵列的测试，增强两种聚糖阵列挖掘工具的能力 具有扩展的聚糖库的所得聚糖阵列分析系统将具有硬件和软件。 对糖生物学研究、聚糖相关生物标志物表征和新药产生广泛影响 针对聚糖的开发。