Analysis of Rice Cellular Expression Profiles

水稻细胞表达谱分析

• 批准号: 0325821
• 负责人: Timothy Nelson
• 金额: --
• 依托单位: Yale University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0325821&HistoricalAwards=false
• 关键词: Analysis; Rice; Cellular; Expression; Profiles

The study of rice has tremendous potential impact, both because it is a useful monocot plant model and because it is a direct source of molecular tools for the analysis and manipulation of nearly every cereal grass crop. The high degree of synteny (parallel organization) among cereal genomes makes it possible to relate rice chromosomal regions, regulatory patterns, and genes to those of maize, wheat, barley, sorghum, rye, and other key crops. Laser capture microdissection (LCM) makes it possible to isolate RNA and other molecules from individual visually selected cell types. This project combines LCM with microarray analysis of gene expression to prepare a cellular atlas of expression profiles. This will consist of a public database that provides information about the expression of 15,000 rice genes initially, and subsequently on all 60,000 genes of rice in every cell type. This will serve as a resource for studies of physiology, growth and development of rice and other cereals, with an unprecedented resolution. The database will accommodate future cell-specific data collected under special conditions, such as stress or pathogen attack. The project will develop LCM techniques to gain access to every cell type of rice, and will rely on rice whole-genome microarrays being developed in another NSF project. Specific deliverables of the project will be the further development and testing of LCM in rice and the production of an expression profiling atlas of 125 rice cell types. These will be released to the publicly available website at a schedule of 10 in year 1, 15 in year 2, 50 in year 3 and an additional 50 by year 4.Outreach and training activities will include participation in Family Science Days at the Peabody Museum on the Yale campus and contributions to museum displays on plant genomics, targeted to a K-12 student audience.

水稻的研究具有巨大的潜在影响，因为它是一种有用的单子叶植物模型，也因为它是分析和操纵几乎所有禾谷类作物的分子工具的直接来源。谷物基因组之间的高度同线性（平行组织）使得有可能将水稻的染色体区域、调控模式和基因与玉米、小麦、大麦、高粱、黑麦和其他主要作物的染色体区域、调控模式和基因联系起来。激光捕获显微切割（LCM）使从单个视觉选择的细胞类型中分离RNA和其他分子成为可能。本计画结合LCM与基因表达微阵列分析，以制作细胞表达图谱。这将包括一个公共数据库，最初提供15，000个水稻基因的表达信息，随后提供每种细胞类型中所有60，000个水稻基因的表达信息。这将作为水稻和其他谷物生理学、生长和发育研究的资源，具有前所未有的分辨率。该数据库将容纳未来在特殊条件下收集的细胞特异性数据，如压力或病原体攻击。该项目将开发LCM技术，以获得每一种水稻细胞类型，并将依赖于另一个NSF项目正在开发的水稻全基因组微阵列。该项目的具体成果将是进一步开发和测试水稻中的LCM，并制作125种水稻细胞类型的表达谱图谱。这些将在公开网站上发布，时间表为第1年10个，第2年15个，第3年50个，第4年增加50个。推广和培训活动将包括参加耶鲁大学皮博迪博物馆的家庭科学日，并为博物馆展示植物基因组学做出贡献，目标是K-12学生观众。