Comprehensive Glycoproteomic Tool Development for Cancer Biomarkers

癌症生物标志物的综合糖蛋白组学工具开发

• 批准号: 9769771
• 负责人: MARSHALL Wayne BERN
• 金额: $ 31.56万
• 依托单位: PROTEIN METRICS, LLC
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-22 至 2021-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9769771
• 关键词: Academia; Algorithmic Software; Algorithms; Aliquot; Archives; Area; Basic Science; Binding; Biological; Biological Markers; Biological Products; Biological Testing; Budgets; Carbon; Cattle; Clinical; Communities; Computer Simulation; Computer software; Custom; Cyst Fluid; Data; Data Analyses; Development; Digestion; Enzymes; Esterification; Exoglycosidases; Fluorescence; Glycopeptides; Goals; Health; Human; Industry; Ions; Label; Laboratories; Laboratory Research; Lactoferrin; Lectin; Link; Liquid Chromatography; Literature; Manuals; Mass Spectrum Analysis; Mediating; Methods; Monoclonal Antibodies; Names; Natural graphite; Oligosaccharides; Orosomucoid; Output; Peptide Mapping; Phase; Plasma; Polysaccharides; Post-Translational Protein Processing; Progress Reports; Protein Glycosylation; Proteins; Recombinants; Reporting; Research Personnel; Sampling; Serotransferrin; Sialic Acids; Signal Transduction; Small Business Technology Transfer Research; Software Tools; Specimen; Spectrometry; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; Structure; Surveys; System; Time; Tissue Sample; United States National Institutes of Health; Validation; Work; alpha-Fetoproteins; analytical method; base; biological research; biomarker development; biomarker discovery; cancer biomarkers; clinical application; drug development; experimental study; glycoproteomics; glycosylation; improved; informatics tool; interest; ion mobility; new technology; pancreatic cancer patients; programs; response; software development; support tools; tandem mass spectrometry; therapeutic protein; tool; tool development; vaccine development

Project Summary Glycosylation is one of the most prevalent and important post-translational modifications of proteins, yet it is also one of the most difficult to study. No single method nor analytical platform can give complete information about the glycosylation in a protein sample, and the analytical methods in current use include both ESI and MALDI single and tandem mass spectrometry, at least four types of liquid chromatography, iterative enzyme analysis, glycan-binding experiments with fluorescence read-out, and new methods such as ion mobility spectrometry. There is currently no software platform that can integrate even two of these different data channels. In this project we propose to build a software product called GlycoForm that will be capable of analyzing, visualizing, and integrating glycosylation data over multiple channels. GlycoForm will be able to identify released glycans to the level of detail warranted by the evidence and quantify them using either mass spectrometry or fluorescence signals. The software will include both an interactive user interface for expert inspection, and also customized and automated glycosylation reports for sharing and archiving. The initial release of GlycoForm will handle single and tandem mass spectrometry, chromatographic elution time, and glycan-binding experiments; other data channels will be added later in response to customer demand.

项目摘要 糖基化是蛋白质翻译后修饰中最普遍和最重要的一种， 也是最难研究的。没有一种单一的方法或分析平台可以给出完整的 关于蛋白质样品中糖基化的信息，并且当前使用的分析方法包括 ESI和MALDI单一和串联质谱，至少四种类型的液相色谱，迭代 酶分析、具有荧光读出的聚糖结合实验以及诸如离子分析的新方法。 淌度谱法目前还没有软件平台可以集成甚至两个不同的 数据通道。在这个项目中，我们建议建立一个软件产品称为GlycoForm，将能够 通过多个通道分析、可视化和整合糖基化数据。GlycoForm将能够 根据证据所保证的详细程度识别释放的聚糖，并使用质量 光谱或荧光信号。该软件将包括一个交互式用户界面， 此外，还提供定制化和自动化的糖基化报告，以供共享和存档。初始 GlycoForm的发布将处理单次和串联质谱、色谱洗脱时间和 聚糖结合实验;其他数据通道将在稍后根据客户需求添加。