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 迫切需要分析工具来挖掘聚糖阵列数据，以便准确和统计研究 细胞表面聚糖与聚糖结合蛋白之间的相互作用。在这个SBIR计划中，我们建议 开发软件和硬件集成系统，以分析和解释聚糖阵列数据。 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 聚糖的子结构和不是复杂的结合确定剂，并且缺乏一致的信号定量 一种自动化方式。为了解决这个问题，Z Biotech，LLC（一个聚糖阵列提供商）与Brian博士合作 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）和聚糖阵列图像分析程序（SignalFinder）。 Z Biotech发明了 强大的聚糖阵列平台具有以多价形式在实心表面上显示聚糖的优势。这 Glycan阵列Z Biotech提供了高质量微阵列的标准，可提供出色的性能 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。他们是 第一个发布算法在2010年分析聚糖数据的算法，随后贡献了 许多创新。在第一阶段项目中，我们开发了Motiffinder，以完全自动化分析，包括 识别聚糖阵列数据中微妙模式和功能的新方法。此外，我们开发了 SignalFinder用于聚糖阵列图像的自动图像分析。该软件程序解决了 阵列图像分析中的先前瓶颈和局限性。它建立在具有的独特算法上 对于免疫荧光和微阵列图像的自动分析，功能良好。目标的目标 第二阶段项目是通过测试聚糖阵列来增强两个聚糖阵列采矿工具的能力 随着扩展的聚糖库。带有硬件和软件的最终的聚糖阵列分析系统将 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。