Analysis of Exit From Stationary Phase In Yeast: Gene Expression and Its Consequences.

0092374 Margaret Werner-Washburne这个研究项目将检测细胞从稳定期退出时的基因表达。 将使用微阵列分析确定mRNA积累的动态，包括mRNA更新速率。 数据分析将使用聚类和可视化程序，XNUMX Insight进行，以确定具体的监管模式。通过北方分析确认所选转录物的相对丰度。 为了确定在该过程中诱导的基因是否是退出稳定期所必需的，将分析携带在稳定期和再增殖期间高度诱导的基因缺失的菌株的生长期特异性缺陷和其他应激相关表型。 这将通过微阵列和更经典的生长分析来完成，这些分析是对在这些过程中mRNA最丰富的基因中携带缺失的菌株进行的。 这项工作将有助于我们在基因组水平上理解微生物生理学，并提供对静止细胞动态的见解。

0092374 Margaret Werner-WashburneThis research project will examine gene expression as cells exit from stationary phase. The dynamics of mRNA accumulation, including rates of mRNA turnover, will be determined using microarray analysis. Data analysis will be carried out using the clustering and visualization program, VxInsight, to identify specific patterns of regulation. The relative abundance of selected transcripts will be confirmed by northern analysis. To determine if genes induced during this process are essential for exit from stationary phase, strains carrying deletions of genes that are highly induced during stationary phase and reproliferation will be analyzed for growth-phase specific defects and other stress-related phenotypes. This will be done by both microarray and more classical growth analyses of strains carrying deletions in genes whose mRNAs are most abundant during these processes. This work will contribute to our understanding of microbial physiology at the genomic level and provide insights into the dynamics of quiescent cells.