Spatiotemporal modeling of signal transduction in yeast

Univ Of North Carolina Chapel Hill, Chapel Hill NC

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Abstract

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.