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.

该副本是利用资源的众多研究子项目之一 由NIH/NCRR资助的中心赠款提供。对该子弹的主要支持 而且，副投影的主要研究员可能是其他来源提供的 包括其他NIH来源。 列出的总费用可能 代表subproject使用的中心基础架构的估计量， NCRR赠款不直接向子弹或副本人员提供的直接资金。 在有限的基因集上已经开发并测试了一种预测未知基因功能的方法。该方法需要在所有平台和所有基因上对微阵列数据集进行全局分析。大约38％的人类基因没有已知功能，但是其中约800个基因具有足够的共表达数据和与一个或多个已知伴侣共表达的清晰表达模式以预测功能。这些未知的基因中有许多是“枢纽”基因，或者与其他许多基因一起响应，并且发现对与免疫相关功能的强偏见。我们已经将此列表范围缩小到40个数据，其中有最多的数据以支持功能预测。我们建议使用siRNA敲低和体外测定测试这些基因的每个基因在细胞周期和免疫系统中的推定参与。