PROTEOMICS ALLIANCE FOR CANCER

癌症蛋白质组学联盟

• 批准号: 7183199
• 负责人: GILBERT S OMENN
• 金额: $ 12.58万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-08-01 至 2006-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7183199
• 关键词: biological signal transduction; biomedical resource; biotechnology; proteomics

DESCRIPTION (provided by applicant): The ultimate goal of proteomics is determination of the functions of genes from analysis of the proteome and its response to perturbations. Inferences about gene and pathway function can be obtained using a broad range of proteomics technologies, from classical protein expression profiling to yeast two-hybrid methodologies and high-throughput analysis of protein complexes. One of the most useful conceptual approaches in proteomics is to elucidate pathways and identify control points in those pathways. This can be achieved by combining data from current and emerging proteomics technologies to establish functional linkages between proteins, for example, by determining direct interactions, genetic interactions, and coordinate expression profiles. This proposal describes technologies that allow improvements in proteome mapping, methods to query changes in signal transduction, identification of protein interactions, and improved algorithms and computational tools for analyzing proteomics data. Altogether, they represent an integrated approach to identifying and building maps of cell pathways. Specific new technology areas addressed include: phosphoproteomics, high-throughput isolation of protein complexes, high-throughput yeast two-hybrid technologies, virtual 2D gels, protein microarrays, and collision-induced-dissociation of proteins. Mechanisms are proposed to provide dissemination of results, provide training opportunities, and ensure that technology development is responsive to the needs of investigators. One of the strengths of this proposal is its potential to leverage the substantial investment in proteomics infrastructure made by the State of Michigan and to extend the benefits of this investment to investigators outside Michigan.

描述（由申请人提供）：蛋白质组学的最终目标是通过分析蛋白质组及其对扰动的反应来确定基因的功能。通过广泛的蛋白质组学技术，从经典的蛋白质表达谱到酵母双杂交方法和蛋白质复合物的高通量分析，可以推断基因和途径功能。蛋白质组学中最有用的概念方法之一是阐明途径并确定这些途径中的控制点。这可以通过结合当前和新兴蛋白质组学技术的数据来建立蛋白质之间的功能联系，例如，通过确定直接相互作用，遗传相互作用和协调表达谱来实现。该提案描述了允许改进蛋白质组作图的技术，查询信号转导变化的方法，蛋白质相互作用的鉴定，以及用于分析蛋白质组学数据的改进算法和计算工具。总之，它们代表了一种识别和构建细胞通路地图的综合方法。具体的新技术领域包括：磷酸化蛋白质组学，蛋白质复合物的高通量分离，高通量酵母双杂交技术，虚拟2D凝胶，蛋白质微阵列和碰撞诱导的蛋白质解离。提出了一些机制，以便传播研究结果，提供培训机会，并确保技术发展能够满足调查人员的需要。该提案的优势之一是它有潜力利用密歇根州在蛋白质组学基础设施方面的大量投资，并将这项投资的好处扩展到密歇根州以外的研究人员。