Development of a rapid glycosylation profiling system using mass spectrometry dat

使用质谱数据开发快速糖基化分析系统

• 批准号: 9096849
• 负责人: HEATHER R DESAIRE
• 金额: $ 35.2万
• 依托单位: UNIVERSITY OF KANSAS LAWRENCE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-15 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9096849
• 关键词: Biochemical; Biological; Biological Markers; Breast Cancer Cell; Communities; Complex; Complex Mixtures; Computer software; Data; Development; Funding; Future; Glycobiology; Glycopeptides; Glycoproteins; Goals; Grant; Health; High Pressure Liquid Chromatography; Human; Human Milk; Ions; Link; Mass Spectrum Analysis; Methods; Peptides; Pharmacologic Substance; Polysaccharides; Positioning Attribute; Process; Property; Proteins; Reporting; Research; Sampling; Site; Software Design; System; Techniques; Technology; Vaccines; Vision; Women' s Health; Work; base; biomarker development; biomarker discovery; data acquisition; design; glycoproteomics; glycosylation; improved; innovation; insight; malignant breast neoplasm; programs; protein function; protein structure function; research study; software development; tool

DESCRIPTION (provided by applicant): The ultimate goals of this proposal are to develop broadly applicable tools to analyze glycopeptides in complex matrices and to apply those tools for the analysis of human milk and aggressive breast cancer cells. This work would be accomplished by completing three specific aims: (1) Complete our fully automated glycopeptide analysis tool package, which we started during the first period of this grant's funding (2) Develop the usage of massive inclusion lists to increase the number of glycopeptide ions characterized by MS/MS. (3) Tackle two challenges in glycopeptide analyses that are beyond the reach of today's technology: Project 1) Identify glycopeptide-based biomarkers that are only present in aggressive breast cancer. Project 2) Provide a complete profiling of N- and O-linked glycopeptides in human milk. The bulk of the work would be completed by combining expertise in software design, biological sample handling, HPLC, and mass spectrometry to develop the necessary tools. The utility of the tools would be demonstrated by applying them to complete projects relevant women's health: Specifically, we would provide a more detailed insight into the unique properties of human milk than has ever before been provided, and we would characterize the glycosylation on 10-50 known glycopeptide markers of aggressive breast cancer. In addition to the contributions we make to women's health, this work would drive the field of glycoproteomics forward: The methods for glycoprotein analysis are enabling bioanalytical technologies that can be used in a variety of venues, from protein structure/function analyses to pharmaceutical development, to biomarker discovery and development.

描述（由申请人提供）：本提案的最终目标是开发广泛适用的工具，以分析复杂基质中的糖肽，并将这些工具应用于人乳和侵袭性乳腺癌细胞的分析。这项工作将通过完成三个具体目标来完成：（1）完成我们的全自动糖肽分析工具包，我们在该赠款的第一阶段开始资助（2）开发 （3）解决糖肽分析中的两个挑战，这两个挑战超出了当今技术的范围：项目1）鉴定仅存在于侵袭性乳腺癌中的基于糖肽的生物标志物。项目2）提供人乳中N-和O-连接糖肽的完整图谱。大部分工作将通过结合软件设计、生物样品处理、HPLC和质谱分析方面的专业知识来完成，以开发必要的工具。这些工具的实用性将通过将其应用于完成与妇女健康相关的项目来证明：具体而言，我们将提供比以往任何时候都更详细的关于母乳独特性质的见解，我们将描述侵袭性乳腺癌的10-50种已知糖肽标记物的糖基化。除了我们对女性健康的贡献外，这项工作还将推动糖蛋白组学领域的发展：糖蛋白分析方法使生物分析技术能够用于各种场合，从蛋白质结构/功能分析到药物开发，再到生物标志物的发现和开发。