Arabidopsis 2010: High-Throughput Functional Analysis of Differentiation Network Genes

拟南芥 2010：分化网络基因的高通量功能分析

• 批准号: 0519984
• 负责人: Kenneth Birnbaum
• 金额: $ 88.42万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0519984&HistoricalAwards=false
• 关键词: Arabidopsis; 2010; Throughput; Functional; Analysis

New York University is awarded a grant to determine gene function for a network or group of genes by using high-throughput reverse genetics to investigate the gene circuitry of differentiating cells. An essential part of the project is the development of computational techniques that can predict genetic redundancy in the genome. Accurate redundancy predictions will provide a model to design efficient reverse genetics pipelines to describe the function of hundreds of genes and enable small labs to participate in focused, high-throughput phenomic screens. The study first targets master regulators of differentiation in the root, examining their influence on gene expression at the cell level. In addition, the investigators examine the function of putative downstream cell-specific targets, many of which are of unknown function. Thus, the end result will be a description of critical hubs in cellular differentiation and the role of their downstream targets. These circuits are expected to act locally to control specific plant traits without perturbing general plant functions. Thus, they are excellent targets for enhancing desirable plant traits or diminishing undesirable ones. The development of high-throughput techniques to discover the function of genes involved in cellular differentiation will allow students from the high school to graduate levels to participate in biological research. A new course in Comparative Genomics will be organized. In addition, New York City high school teachers will be able to participate in an NYU program that introduces them to modern biological research. The proposed project has strong ties to applied research that could lead to improving plants for agricultural and other commercial applications since the genes it targets for analysis are likely to be involved in specifying commercially valuable traits. The project website will be accessible from the PI's homepage at http://homepages.nyu.edu/~kdb4348/, will be open to the public, and will contain information about the project, participants, developed software, and databases built under this award. The database and information will be shared with TAIR and the VirtualPlant project also funded at NYU, and will also be freely available to interested academic researchers.

纽约大学获得了一项资助，通过使用高通量反向遗传学来研究分化细胞的基因回路，来确定一个网络或一组基因的基因功能。该项目的一个重要部分是开发能够预测基因组中基因冗余的计算技术。准确的冗余预测将为设计高效的反向遗传学管道提供模型，以描述数百个基因的功能，并使小型实验室能够参与集中，高通量的表型筛选。该研究首先针对根中分化的主要调控因子，研究它们在细胞水平上对基因表达的影响。此外，研究人员检查了假定的下游细胞特异性靶点的功能，其中许多功能未知。因此，最终结果将是描述细胞分化中的关键枢纽及其下游目标的作用。这些电路有望在不干扰植物一般功能的情况下局部控制植物的特定性状。因此，它们是增强理想植物性状或减少不良植物性状的极好靶点。发现参与细胞分化的基因功能的高通量技术的发展将使从高中到研究生水平的学生参与生物学研究。将开设一门新的比较基因组学课程。此外，纽约市的高中教师将能够参加纽约大学的一个项目，向他们介绍现代生物学研究。拟议中的项目与应用研究有着密切的联系，这些研究可能会改善植物的农业和其他商业应用，因为它分析的目标基因可能涉及指定具有商业价值的性状。该项目网站将从PI的主页http://homepages.nyu.edu/~kdb4348/访问，将向公众开放，并将包含有关该项目、参与者、开发软件和根据该奖项建立的数据库的信息。数据库和信息将与TAIR和同样由纽约大学资助的VirtualPlant项目共享，也将免费提供给感兴趣的学术研究人员。