National Heart, Lung, and Blood Institute Proteomics Initiative

项目目标 征集编号：NHLBI-HL-02-04合同编号：N01-HV-28184 要约人名称和地址： 德克萨斯大学加尔维斯顿分校 大学大道301号 德克萨斯州加尔维斯顿，77555-0657 RFP标题：国家心、肺和血液研究所蛋白质组学倡议 首席研究员：亚历山大·黑斯基博士 研究呼吸道炎症的蛋白质组学技术 目标摘要： 一个全面和创新的蛋白质组学战略将利用普遍适用于许多NHLBI研究兴趣的新技术开发一种模型研究方法。具体地说，我们将使用基于蛋白质组学的技术来研究与在呼吸道炎症条件下重要的信号通路相关的蛋白质表达。具体目标是：1)开发敏感的高分辨率蛋白质分离技术，以构建炎症呼吸道主要细胞类型中细胞和亚细胞蛋白质表达变化的蛋白质数据库；2)开发基于硫代适配子的创新阵列和微珠技术，以识别和量化与呼吸道炎症相关的关键信号和免疫反应途径相关的蛋白质和蛋白质复合体；3)利用专业的高通量流式细胞仪/细胞分选、用于细胞选择的激光调焦/成像新技术、磁激活细胞分选和激光捕获显微切割，用于随后对细胞周期特定阶段的特定细胞类型进行蛋白质组分析；以及4)应用系统建模将蛋白质表达的变化与有关呼吸道合胞病毒感染或哮喘后炎症引起的基因表达变化的现有基因组数据相关联。

PROJECT OBJECTIVES SOLICITATION NUMBER: NHLBI-HL-02-04 C ONTRACT NUMBER: N01-HV-28184 OFFEROR NAME AND ADDRESS: The University of Texas Medical Branch at Galveston 301 University Boulevard Galveston, Texas 77555-0657 RFP TITLE: National Heart, Lung, and Blood Institute Proteomics Initiative PRINCIPAL INVESTIGATOR: Dr. Alexander Kurosky Proteomic Technologies to Study Airway Inflammation SUMMARY OF OBJECTIVES: A comprehensive and innovative proteomics strategy will develop a model investigative approach using novel technologies generally applicable to many NHLBI research interests. Specifically, we will employ proteomics-based technologies to investigate protein expression associated with signaling pathways important in inflammatory conditions of the airways. Specific aims are to: 1) Develop sensitive high-resolution protein separation technologies to construct protein databases of changes in cellular and subcellular protein expression in the major cell types of inflamed airways; 2) Develop innovative thioaptamer-based array and bead technologies to identify and quantify proteins and protein complexes associated with critical signaling and immune response pathways relating to airway inflammation; 3) Utilize specialized high-throughput flow cytometry/cell sorting, new technology for laser zapping/imaging for cell selection, magnetic-activated cell sorting, and laser-capture microdissection for subsequent proteome analysis of defined cell types in specific stages of the cell cycle; and 4) Apply systems modeling to correlate changes in protein expression with available genomic data on changes in gene expression due to inflammation after respiratory syncytial virus infection or asthma.