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: 10560546
• 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 2025-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10560546
• 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; Generations; Glycobiology; Glycopeptides; Glycosaminoglycans; Goals; Human; Image; Image Analysis; Imaging Device; Immunofluorescence Immunologic; Invaded; Laboratories; Libraries; Malignant Neoplasms; Mining; Morphology; Mucins; Names; Output; Pattern; Performance; Phase; Plants; Polysaccharides; 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; Systems Integration; Testing; Therapeutic; Vaccines; Validation; Variant; automated analysis; automated image analysis; bioinformatics tool; biomarker discovery; cancer immunotherapy; commercial application; data mining; data tools; digital; drug development; glycomimetics; graphical user interface; improved; innovation; invention; 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.

项目摘要 /摘要 为了准确研究，迫切需要用于采矿聚糖阵列数据的分析工具 细胞表面聚糖与聚糖结合蛋白之间的相互作用。 开发一个软件和硬件集成系统，用于分析和解释聚糖数组 现有的聚糖阵列数据挖掘工具的问题是，它们仅提供约束力信息 复杂结合结合决定因素的聚糖的子结构的子结构，它们缺乏一致的信号定量 一种自动解决此问题的方法 HAAB的范安德尔研究所（一家软件提供商）的实验室，以开发和改善强大的聚糖阵列数据 采矿工具（Motiffinder）和聚糖图像图像分析程序（SignalFinder）发明了 强大的聚糖阵列平台具有多价形式上的固体表面上的聚糖 Z BioTech提供的聚糖阵列具有高质量微阵列的标准，具有出色的性能， 适合生成聚糖阵列数据，以评估Motiffinder和SignalFinder等分析工具。 此外，HAAB研究小组一直领导着聚糖 - 阵列分析工具的发展。 第一个发布算法在2010年进行聚糖数据分析的算法，随后被归类 在第一阶段项目中，我们开发了许多创新 识别GLOYCAN数组数据中微妙的模式和功能的新方法。 SignalFinder用于Glycan阵列图像的自动图像。 阵列图像分析中的先前瓶颈和局限性。 对免疫荧光和微载体图像的自动分析很好地发挥作用。 第二阶段项目是通过在聚糖阵列上测试到两个聚糖阵列采矿工具的能力 通过扩展的聚糖库。 对糖生物学研究，与聚糖相关的生物标志物和新药有广泛的影响 针对聚糖的发展。