DISCOVERY AND TESTING OF NOVEL IMMUNOLOGICAL GENES

新型免疫基因的发现和测试

• 批准号: 8359793
• 负责人: Jonathan Daniel Wren
• 金额: $ 28.7万
• 依托单位: OKLAHOMA MEDICAL RESEARCH FOUNDATION
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-05-01 至 2012-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8359793
• 关键词: Autoimmunity; Cell Cycle; Data; Data Set; Funding; Genes; Genetic; Grant; Human; Immune; Immune system; Methods; Microarray Analysis; Molecular; National Center for Research Resources; Pattern; Principal Investigator; Research; Research Infrastructure; Resources; Small Interfering RNA; Source; Testing; United States National Institutes of Health; cost; gene function; in vitro Assay; novel

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. A method of predicting unknown gene function has been developed and tested on a limited set of genes. The method entails a global analysis of microarray datasets, across all platforms and for all genes. Approximately 38% of human genes have no known function, yet approximately 800 of these genes have enough co-expression data and clear patterns of co-expression with one or more known partners to predict function. Many of these unknown genes are "hub" genes, or genes that respond with many others and a strong bias towards immune-related functions was discovered. We have narrowed this list to the 40 with the most data to support functional predictions. We propose to test each of these genes for their putative involvement in both the cell cycle and the immune system using siRNA knockdowns and in vitro assays.

这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的， 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量， 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 一种预测未知基因功能的方法已经被开发出来，并在有限的一组基因上进行了测试。该方法需要对所有平台和所有基因的微阵列数据集进行全局分析。大约38%的人类基因没有已知的功能，但这些基因中大约有800个具有足够的共表达数据和与一个或多个已知伴侣的明确共表达模式来预测功能。这些未知基因中的许多是“枢纽”基因，或者与许多其他基因一起反应的基因，并且发现了对免疫相关功能的强烈偏好。我们已经将这个列表缩小到40个支持功能预测的数据最多的。我们建议使用siRNA敲除和体外测定来测试这些基因中的每一个，以确定它们是否参与细胞周期和免疫系统。