Experimental genomics and phenotyping: to produce new data & verify predictions

实验基因组学和表型分析：产生新数据

• 批准号: 8936052
• 负责人: KEVIN P. WHITE
• 金额: --
• 依托单位: UNIVERSITY OF CHICAGO
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-22 至 2016-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8936052
• 关键词: Biochemical; Complex; DNA; Data; Disease; Engineering; Genes; Genetic Screening; Genetic Status; Genetic Variation; Genomics; Genotype; Individual; Instruction; Modeling; Molecular Profiling; Patients; Phenotype; Post-Translational Protein Processing; Proteins; Proteomics; Research Infrastructure; Research Personnel; Role; Stimulus; System; Validation; neuropsychiatry

The major objective of this core is to provide wet-lab technological support and expertise to the investigators in the Center. We anticipate that results from network reverse engineering modeling in Core 1 will make predictions about not only the role of individual genes but also the state of particular suites of genes and of networks. To identify the relationship between multiple phenotypes, stimuli, and genotypes, high-throughput biochemical, proteomic, and genetic screening is essential. Simultaneous molecular profiling of large numbers of gene products to assess genetic status, expression level or protein modification state can rapidly provide an overview of the state of a cellular system.

该核心的主要目的是向调查人员提供湿的技术支持和专业知识 在中心。我们预计核心1中网络逆向工程建模的结果将导致 不仅对单个基因的作用，而且对特定基因和特定套件的状态进行预测 网络。确定多种表型，刺激和基因型之间的关系，高通量 生化，蛋白质组学和遗传筛查至关重要。同时分子分析 评估遗传状况，表达水平或蛋白质修饰状态的基因产物数量可以迅速 提供细胞系统状态的概述。