权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

SGER:Developing High Throughput Protein Network Analysis to Determine the Function of Unknown Rice Genes

SGER：开发高通量蛋白质网络分析以确定未知水稻基因的功能

基本信息

批准号：
0434541
负责人：
William McCombie
金额：
$ 19.99万
依托单位：
Cold Spring Harbor Laboratory
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2004
资助国家：
美国
起止时间：
2004-06-15 至 2005-11-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0434541&HistoricalAwards=false
关键词：
SGER Developing Throughput Protein Network

项目摘要

The goal of this project is to explore the use of high-throughput proteomics to determine gene function based on the cellular interaction network of an encoded protein. It is appropriate for a Small Grant for Exploratory Research because it "ventures into emerging and potentially transformative research ideas". Specifically, methods will be developed by which the protein: protein interactions of rice genes of unknown function can be determined. This information will allow identification which protein(s) with known cellular role(s) interact with a given unknown protein, and will therefore will link the unknown protein to that cellular function. The information will be captured in a publicly available database. The data will also allow construction of broadly based protein interaction maps of rice.Graduate raining will be provided in areas that will combine genome sequence analysis with protein interaction analysis. Such skills will be crucial as the community grapples with integrating these disparate, large datasets. In addition, the approached developed could create a paradigm shift that could have a significant impact in defining a new strategy for analyzing complex plant genomes.The data resulting from the work will be available at:http://www.cshl.edu/genseq/riceproteome.

该项目的目标是探索使用高通量蛋白质组学来确定基于编码蛋白质的细胞相互作用网络的基因功能。它适合用于探索性研究的一小笔赠款，因为它“冒险进入新兴的和潜在的变革性研究想法”。具体地说，将开发能够确定未知功能的水稻基因的蛋白质：蛋白质相互作用的方法。这一信息将允许识别具有已知细胞角色的蛋白质(S)与给定的未知蛋白质(S)相互作用，从而将未知蛋白质与该细胞功能联系起来。这些信息将被记录在一个公开可用的数据库中。这些数据还将允许构建广泛的水稻蛋白质相互作用图。将在将基因组序列分析与蛋白质相互作用分析相结合的地区提供渐变降雨。在社区努力整合这些完全不同的大型数据集时，这种技能将是至关重要的。此外，已开发的方法可能会产生一种范式转变，可能对定义分析复杂植物基因组的新战略产生重大影响。这项工作产生的数据将在以下网站上获得：http://www.cshl.edu/genseq/riceproteome.