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.

项目概要糖基化是蛋白质最普遍和最重要的翻译后修饰之一，但它也是最难研究的之一。没有任何单一方法或分析平台可以给出完整的有关蛋白质样品中糖基化的信息，目前使用的分析方法包括 ESI 和 MALDI 单级和串联质谱、至少四种类型的液相色谱、迭代酶分析、具有荧光读数的聚糖结合实验以及离子等新方法迁移率光谱测定。目前还没有软件平台可以集成其中两个不同的数据通道。在这个项目中，我们建议构建一个名为 GlycoForm 的软件产品，它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，并使用任一质量对其进行量化光谱或荧光信号。该软件将包括一个供专家使用的交互式用户界面检查，以及用于共享和存档的定制和自动化糖基化报告。最初的 GlycoForm 的发布将处理单一和串联质谱、色谱洗脱时间和聚糖结合实验；稍后将根据客户需求添加其他数据通道。