PROTEOMICS AND BIOINFORMATICS CORE

蛋白质组学和生物信息学核心

• 批准号: 10588073
• 负责人: Tomas Vaisar
• 金额: $ 17.93万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-12-01 至 2027-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10588073
• 关键词: Address; Adipocytes; Animals; Antibodies; Basic Science; Bioinformatics; Biological Assay; Body Fluids; Cell Separation; Cells; Clinical; Clinical Research; Data; Data Analyses; Data Set; Data Storage and Retrieval; Development; Diabetes Mellitus; Disease; Ensure; Experimental Designs; Flow Cytometry; Functional disorder; Funding; Genes; Goals; Human; Human Resources; Individual; Isotopes; Label; Laboratories; Lipoproteins; Liquid Chromatography; Macrophage; Mass Spectrum Analysis; Methods; Modernization; Molecular; Monitor; Ontology; Pathway Analysis; Pathway interactions; Plasma; Preparation; Procedures; Process; Protein Analysis; Proteins; Proteome; Proteomics; Reaction; Research; Research Personnel; Research Support; Risk Factors; Sampling; Services; Shotguns; Standardization; Systems Biology; Techniques; Technology; Tissues; Training; Universities; Urine; Washington; analytical tool; complex data; cost; cost effectiveness; data sharing; diabetes pathogenesis; differential expression; experience; insight; instrument; instrumentation; interest; islet; laser capture microdissection; novel; phenotypic data; protein complex; protein protein interaction; single-cell RNA sequencing; tandem mass spectrometry; tool; transcriptome sequencing; transcriptomics; translational study

The Proteomics and Bioinformatics Core of the University of Washington Diabetes Research Center provides affiliate investigators the powerful tools of modern mass spectrometry (MS) and complex data set analysis. The goals of the Core are to: (1) Perform MS for unbiased discovery and semi-quantitative analyses of complex protein samples using state-of-the-art untargeted and targeted LC-MS/MS techniques for both qualitative and quantitative analysis, including development of new MS methods for structural identification; (2) Provide validated targeted quantitative assays of specific protein analytes relevant to diabetes in support of clinical and translational studies; (3) Assist DRC affiliates with experimental design of their studies to ensure successful proteomics analysis and provide training in principles and use of MS; and (4) Provide bioinformatics analysis (e.g., differential expression analysis, protein-protein interaction network analysis, and pathway enrichment analysis) for proteomic and transcriptomic data sets, including RNA-seq and single cell RNA-seq, with the aim of providing an integrated, systems biology overview of diabetes and diabetes-related disease processes. By providing a centralized facility and expertise necessary to perform state-of-the-art proteomics analysis, quantitative mass spectrometric assays, and bioinformatics analysis, the Core meets these goals with optimal efficiency and cost-effectiveness in support of basic and clinical research. Further, by centralizing and standardizing procedures, the Proteomics and Bioinformatics Core provides its affiliate investigators a common set of analytical tools for obtaining a unified understanding of molecular mechanisms involved in pathophysiologic processes of diabetes and its associated complications.

华盛顿大学糖尿病研究中心的蛋白质组学和生物信息学核心提供 关联调查人员是现代质谱学(MS)和复杂数据集分析的强大工具。这个 CORE的目标是：(1)进行MS以无偏见地发现和半定量地分析复杂的事物 使用最先进的非靶向和靶向LC-MS/MS技术进行蛋白质样品的定性和 定量分析，包括为结构鉴定开发新的MS方法；(2)提供 验证与糖尿病相关的特定蛋白分析物的靶向定量分析，以支持临床和 翻译研究；(3)协助刚果民主共和国分支机构进行研究的实验设计，以确保成功 蛋白质组学分析，并提供MS原理和使用方面的培训；以及(4)提供生物信息学分析 (例如，差异表达分析、蛋白质-蛋白质相互作用网络分析和途径丰富 分析)蛋白质组和转录组数据集，包括rna-seq和单细胞rna-seq，目的是 提供糖尿病和糖尿病相关疾病过程的综合系统生物学概述。通过 提供执行最先进的蛋白质组学分析所需的集中设施和专业知识， 定量质谱学分析和生物信息学分析，Core以最佳的 支持基础和临床研究的效率和成本效益。此外，通过集中和 标准化的程序，蛋白质组学和生物信息学核心为其附属研究人员提供了共同的 一套分析工具，用于统一理解涉及的分子机制 糖尿病及其相关并发症的病理生理过程。