VALIDATING NOVEL GENES IMPLICATED IN LEUKOCYTE CHEMOTAXIS

验证与白细胞趋化性有关的新基因

• 批准号: 8168261
• 负责人: Jonathan Daniel Wren
• 金额: $ 22.81万
• 依托单位: OKLAHOMA MEDICAL RESEARCH FOUNDATION
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-05-01 至 2011-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8168261
• 关键词: Cell Cycle; Computer Retrieval of Information on Scientific Projects Database; Data; Data Set; Funding; Genes; Grant; Human; Immune; Immune system; Institution; Leukocyte Chemotaxis; Methods; Microarray Analysis; Pattern; Research; Research Personnel; Resources; Small Interfering RNA; Source; Testing; United States National Institutes of Health; 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. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. 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.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 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。