Stochastic Start in the budding yeast cell cycle

描述（由申请人提供）：芽殖酵母细胞周期的变异性：单细胞实验和随机网络模型。芽殖酵母克隆群体内的变异性通常大于与遗传差异相关的变异性。波动，大概是由于几个关键的细胞周期调节因子的mRNA的数量少，在通过研究细胞群体的聚集内容物产生的数据集中被忽视。只有通过单细胞体内研究，这种变化才变得明显。虽然单细胞水平上的可变性和与细胞周期无序进展相关的适应性成本表明细胞适应于科普分子波动，但所采用的机制目前尚不清楚。凭借我的数学专长和洛克菲勒大学弗雷德·克罗斯酵母生物实验室的实验能力，我们已经做好了解决这个问题的准备。我的目标是使用时间序列的荧光标记的关键细胞周期调节单细胞实验设计一个新的随机网络模型的G1/S过渡负责芽殖酵母的大小控制。与实验生物学家的密切合作将使新数据的快速整合和理论影响实验设计。

DESCRIPTION (provided by applicant): Variability in the budding yeast cell cycle: single cell experiments and stochastic network models. The variability within a clonal population of budding yeast is often larger than the variability associated with genetic differences. Fluctuations, presumably due to the low numbers of mRNA of several key cell cycle regulators, go unnoticed in datasets produced by studying aggregate contents of a population of cells. Only through single cell in vivo studies does such variation become apparent. Although the scale of variability on the single cell level and the fitness cost associated with disordered progression through the cell cycle suggest that cells are adapted to cope with molecular fluctuations, the mechanisms employed are currently unknown. With my mathematical expertise and the experimental capabilities of Fred Cross' yeast biology lab at the Rockefeller University we are well poised to tackle this question. I aim to use time series of fluorescent markers of key cell cycle regulators from single cell experiments to design a new stochastic network model of the G1/S transition responsible for size control in budding yeast. Close collaboration with experimental biologists will allow for rapid integration of new data and for theory to influence experimental design.