PROTEIN IDENTIFICATION CORE

蛋白质鉴定核心

• 批准号: 7638443
• 负责人: KATHRYN STONE
• 金额: $ 19.83万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-06-01 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7638443
• 关键词: Algorithms; Bioinformatics; Biological Markers; Biometry; Biostatistics Core; Chromatography; Collaborations; Cyclotrons; Databases; Disease; Fluorescence; Fourier Transform; Goals; High Pressure Liquid Chromatography; Individual; Ions; Laboratories; Lipids; Liquid substance; National Institute of Drug Abuse; Peptides; Phase; Post-Translational Protein Processing; Proteins; Rate; Research; Resources; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; Stimulus; Technology; base; gel electrophoresis; improved; interest; mass spectrometer; member; response; success

The overall goal of the Protein Identification Core, which will be located within the MS Resource of the Keck Laboratory, will be to identify proteins and their post-translational modifications that are of interest to members of the Neuroproteomics Center and that have been isolated either by individual Center members or by the Protein and Lipid Separation and Profiling Core. In the latter instance, the proteins or peptides of interest may have been determined to be differentially expressed in response to a stimulus or disease based on differential (fluorescence) gel electrophoresis (DIGE) (1), the Beckman-Coulter ProteomeLab PF 2D liquid separation approach (2), or MALDI-MS based biomarker discovery using the algorithm developed by staff in the proposed Bioinformatics and Biostatistics Core (3). In addition to providing existing protein identification technologies to members of the NIDA Neuroproteomies Center, the Protein Identification Core also proposes to extend and improve these technologies.

蛋白质鉴定核心将设在凯克实验室的MS资源内，其总体目标是识别神经蛋白质组学中心成员感兴趣的蛋白质及其翻译后修饰，这些蛋白质已经由个别中心成员或蛋白质和脂类分离和图谱核心分离出来。在后一种情况下，可能已经基于差示(荧光)凝胶电泳(DGE)(1)、Beckman-Coulter ProteomeLap2D液体分离方法(2)或基于MALDI-MS的生物标记物发现(使用拟议的生物信息学和生物统计核心(3)中的工作人员开发的算法)来确定感兴趣的蛋白质或多肽已经被确定为响应于刺激或疾病而差异表达。除了向NIDA神经蛋白质组中心的成员提供现有的蛋白质鉴定技术外，蛋白质鉴定核心还建议扩展和改进这些技术。