Proteomics, Metabolomics and Lipidomics Core

PNW RCE蛋白质组学、代谢组学和脂质组学(PML)核心提供了所需的资源 为并行应用蛋白质组、代谢组和脂组分析到不同的样本组提供 由RCE的合作者提供。将这些PML核心方法生成的数据与 按个别项目和子项目进行的基因组分析(项目3(P01)Michael Katze博士， 项目4(P01)Michael Gale博士和项目5(R01)Dr.Fred Heffron)，创造了一个独特的机会 与感染有关的疾病相关途径的模型(见生物统计学和生物信息学核心) 严重急性呼吸系统综合症病毒、流感病毒、埃博拉病毒、西尼罗河病毒、登革热病毒 (DENV)和新氏弗朗西斯菌(Francisella Novidica)。PML核心将利用蛋白质组学正在进行的技术进步 (包括磷蛋白质组学)、代谢组学、脂类组学和信息学资源，可从PNNL获得 通过执行高吞吐量、敏感度和可重复性来生成独特的系统生物学数据套件 比较样品和纵向样品的蛋白质、代谢物和脂肪丰度测量 计算建模和实验验证的迭代周期。PML核心提供这两种功能 通过蛋白质组学、代谢组学和脂类组学数据获取的多个阶段的资源和支持， 从构建/扩充参考精确质量和时间标签(AMT)标签数据库到 比较定量分析。AMT标签数据库中的多肽和脂质覆盖率将通过以下方式提高 先进的液相色谱分离方法在PNNL首创，以降低样品的复杂性。在……里面 PML核心RCE将利用PNNL既定的和正在进行的技术进步 在其他支持下完成，以便执行 中心协作。

The PNW RCE Proteomics, Metabolomics, and Lipidomics (PML) Core provides the resources required for the parallel application of proteomic, metabolomic, and lipidomic analyses to diverse sample sets provide by the RCE collaborators. The integration of data generated by these PML Core approaches with the genomic analyses performed by individual Projects and sub-projects (Project 3 (P01) Dr. Michael Katze, Project 4 (P01) Dr. Michael Gale, and Project 5 (R01) Dr. Fred Heffron), creates a unique opportunity to model disease-related pathways (see Biostatistics and Bioinformatics Core) associated with infection by severe acute respiratory syndrome (SARS) virus, flu virus, Ebola virus, West Nile virus (WNV), Dengue virus (DENV), and Francisella novidica. The PML Core will leverage ongoing technical advances in proteomics (including phosphoproteomics), metabolomics, lipidomics, and informatics resources available at PNNL to generate unique suites of systems biology data by performing high throughput, sensitive, and reproducible protein, metabolite, and lipid abundance measurements on comparative and longitudinal samples for iterative cycles of computational modeling and experimental validation. The PML Core provides both resources and support through multiple stages of proteomics, metabolomics, and lipidomics data acquisition, from construction/augmentation of reference accurate mass and time tag (AMT) tag databases through comparative quantitative analyses. Peptide and lipid coverage in AMT tag databases will be enhanced by advanced liquid chromatography separation methods pioneered at PNNL to reduce sample complexity. In the RCE the PML Core will leverage established and ongoing technological advancements at PNNL accomplished under other support in order to perform the large-scale measurements demanded by the Center collaborations.