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RUI: Interdependence of Nutrient and Pheromone Sensing Pathways in Yeast

RUI: Interdependence of Nutrient and Pheromone Sensing Pathways in Yeast
RUI:酵母中营养物质和信息素传感途径的相互依赖性
批准号:
0952519
负责人:
Stephen Wright
金额:
$43.91万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-03-01 至 2013-05-31

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中文摘要
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英文摘要
Cell division and fusion are resource intensive activities, and thus the ability of the yeast cell to coordinate the availability of nutrients in its environment with reproduction is of great physiological importance. This project will examine the role that glucose availability plays in yeast mating by testing the hypothesis that glucose sensing and mating are interdependent. The glucose sensor and the pheromone receptor are the only G protein coupled receptors (GPCR) in yeast. The aims of this project include 1) assessing the effects of pheromone stimulation on the glucose sensor, 2) examining the direct physical interactions of the glucose sensing and pheromone receptors, and 3) identifying interactions between components of the signaling pathways downstream of these receptors. Broader Impacts: This project, while enhancing our understanding of the relationship between nutrient sensing and mating in yeast, will impact undergraduate students and the science faculty at three primarily undergraduate institutions. Undergraduate students will be exposed to biochemical research during an intensive ten week summer project, with the opportunity to continue their research during the academic year. These students will be involved in the design, implementation, interpretation, and dissemination of the results of their own experiments in a community of their peers. This project represents an opportunity for the investigators to integrate their research into their teaching, thereby enhancing the scientific education of hundreds of students at the participating institutions. The students involved in this research will be primarily from a typically underserved population (including under-represented minorities) in rural Appalachia.
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    2224213
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  • 依托单位:
Extending Sparse Optimization
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