Spatiotemporal modeling of signal transduction in yeast

描述（由申请人提供）：酵母酿酒酵母的交配反应为研究细胞生物学的许多基本方面提供了理想的实验系统，包括信号转导、转录调控、极性建立和梯度传感。当交配型特异性信息素结合并激活相反交配型细胞上的G蛋白偶联受体（GPCR）时，反应开始。然后通过丝裂原活化蛋白激酶（MAPK）级联来传播信号。MAPK的一个关键功能是启动成功交配所需的遗传程序。在真核细胞中，MAPK介导对生长因子、细胞因子、激素、细胞粘附、应激和营养的应答，这些应答决定了广泛的细胞决策过程。 信息素诱导的MAPK介导的转录改变不足以有效交配。细胞还必须朝着交配伴侣散发的信息素梯度方向生长，这一过程被称为趋化性。趋化性要求细胞建立前沿（即，这条战线在定向生长过程中得以维持。极性的建立和维持是所有真核生物迁移和分化所必需的，并且通常在疾病如癌症中变得失调。通过将微流体与新型荧光报告分子相结合，我们开发了一种实验系统，使我们能够跟踪暴露于时间依赖性信息素浓度的单细胞中基因表达和关键极性因子定位的变化。将我们的微流控平台与数学建模相结合，将使人们能够从系统层面理解调节转录、细胞周期阻滞和极性建立的信号通路。目的1结合计算建模和实验分析，使用时间周期性信息素浓度来量化多个信号基序的相对贡献，调节转录。在野生型和突变体的背景下，扰乱调控的报告基因表达的定量测量将被用来验证或反驳模型的基本假设。目的还测试是否转录持久性信息素信号丢失后是一种形式的记忆，以推进细胞周期停滞和极化的第二次信息素遇到。目的2扩展了这种综合研究策略，以剖析调节极性建立的时空动态的反馈回路。同样，实验将被设计为通知和验证我们的数学模型。我们研究的最终目标是生成体内细胞过程的真正预测模型，并为将研究策略扩展到人类细胞中的信号网络提供路线图，从而为治疗疾病的新方法提供理论基础。

DESCRIPTION (provided by applicant): The mating response of the yeast Saccharomyces cerevisiae provides an ideal experimental system for studying many fundamental aspects of cell biology, including signal transduction, transcriptional regulation, polarity establishment, and gradient sensing. The response is initiated when a mating-type specific pheromone binds to and activates a G-protein coupled receptor (GPCR) on a cell of opposite mating type. The signal is then propagated by a mitogen activated protein kinase (MAPK) cascade. A key function of the MAPK is to initiate the genetic program required for successful mating. In eukaryotic cells, MAPKs mediate responses to growth factors, cytokines, hormones, cell adhesion, stress and nutrients that determine a wide range of cellular decision processes. The MAPK mediated alterations in transcription induced by pheromone are not sufficient for efficient mating. Cells also must orient growth toward a pheromone gradient emanating from a mating partner, a process referred to as chemotropism. Chemotropism requires that cells establish a front (i.e., polarize) and that this front is maintained during directed growth. Polarity establishment and maintenance are required for migration and differentiation in all eukaryotes, and often become dysregulated in diseases, such as cancer. By combining microfluidics with novel fluorescent reporters, we have developed an experimental system that allows us to track both changes in gene expression and localization of key polarity factors in single cells exposed to time-dependent pheromone concentrations. Integrating our microfluidic platform with mathematical modeling will enable a systems-level understanding of the signaling pathways that regulate transcription, cell cycle arrest, and polarity establishment. Aim 1 combines computational modeling and experimental analyses using temporally periodic pheromone concentrations to quantify the relative contributions of the multiple signaling motifs that regulate transcription. Quantitative measurements of reporter gene expression in wild-type and mutant backgrounds that perturb regulation will be used to validate or refute the underlying hypotheses of the model. The aim also tests whether transcriptional persistence following loss of pheromone signal is a form of memory to advance cell cycle arrest and polarization in a second pheromone encounter. Aim 2 extends this integrated research strategy to dissect the feedback loops that regulate the spatiotemporal dynamics of polarity establishment. Again the experiments will be designed to inform and validate our mathematical models. The ultimate goals of our investigations are to generate truly predictive models of in vivo cellular processes and provide a roadmap for extending research strategies to signaling networks in human cells, allowing the rationale design of new approaches for treating disease.