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

基本信息

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
项目类别：
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

项目摘要

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的最普遍，最重要的翻译后修饰之一也是最难研究的之一。没有单一的方法和分析平台可以完整有关蛋白质样品中糖基化的信息，当前使用中的分析方法包括 ESI和MALDI单和串联质谱法，至少四种类型的液相色谱，迭代酶分析，荧光读出的聚糖结合实验以及离子等新方法移动光谱法。当前没有软件平台可以集成这些不同的两个不同数据通道。在这个项目中，我们建议构建一种称为GllycoForm的软件产品，该产品将能够在多个通道上分析，可视化和整合糖基化数据。糖衣将能够确定已释放的聚糖达到证据所保证的细节水平，并使用任何一种质量量化它们光谱法或荧光信号。该软件将包括专家的交互式用户界面检查，以及定制和自动化的糖基化报告，用于共享和归档。最初糖衣的释放将处理单一和串联质谱法，色谱洗脱时间以及聚糖结合实验；其他数据渠道将稍后添加以响应客户需求。