CAREER:The Role of the Protein Kinase C Pathway and Chromatin Remodeling Factors in Orchestrating the Environmental Stress Response in Yeast

职业：蛋白激酶 C 通路和染色质重塑因子在协调酵母环境应激反应中的作用

• 批准号: 0447887
• 负责人: Audrey Gasch
• 金额: $ 90万
• 依托单位: University of Wisconsin-Madison
• 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: 2005-05-15 至 2011-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0447887&HistoricalAwards=false
• 关键词: CAREER; Role; Protein; Kinase; Pathway

All organisms must be able to sense their environment and mount the appropriate defenses against environmental stress. This project will examine the complex regulatory network that orchestrates the environmental stress response (ESR) in yeast. The ESR consists of ~900 gene expression changes that are activated by diverse stresses. Experiments are planned to test the role of the Protein Kinase C (PKC) signaling network and chromatin remodeling proteins in regulating the ESR in response to specific stresses. Using DNA microarrays, it is possible to measure the expression level of every single gene in the yeast genome in one experiment. Yeast microarrays will be used to follow whole-genome expression in wild-type cells and in cells defective in PKC signaling, as cells respond to stress. Computational analysis of the data will identify genes whose expression is dependent on different regulatory proteins in the network, thus allowing the investigators to map the path of signal transduction in response to stress. These results will provide insights into how cells orchestrate complex cellular responses, including the ESR, and will shed light on the PKC signaling network. A significant component of this work is the development of a new computational genomics course at UW-Madison, specifically aimed at training biologists in statistical and computational analysis of large datasets.

所有生物都必须能够感知环境，并对环境压力进行适当的防御。该项目将研究酵母中协调环境应激反应（ESR）的复杂调控网络。ESR由约900个基因表达变化组成，这些变化由不同的应激激活。 实验计划测试蛋白激酶C（PKC）信号网络和染色质重塑蛋白在调节ESR响应特定应力中的作用。 使用DNA微阵列，可以在一个实验中测量酵母基因组中每个基因的表达水平。 酵母微阵列将用于跟踪野生型细胞和PKC信号缺陷细胞中的全基因组表达，因为细胞对应激有反应。 对数据的计算分析将确定其表达依赖于网络中不同调控蛋白的基因，从而使研究人员能够绘制出响应压力的信号转导路径。 这些结果将为细胞如何协调复杂的细胞反应（包括ESR）提供深入了解，并将揭示PKC信号网络。 这项工作的一个重要组成部分是在威斯康星大学麦迪逊分校开发一个新的计算基因组学课程，专门针对大型数据集的统计和计算分析培训生物学家。