Influence of cell shape, inhomogeneities and diffusion barriers in cell polarization models

Phys Biol. 2015 Nov 24;12(6):066014. doi: 10.1088/1478-3975/12/6/066014.

Abstract

In silico experiments bear the potential for further understanding of biological transport processes by allowing a systematic modification of any spatial property and providing immediate simulation results. Cell polarization and spatial reorganization of membrane proteins are fundamental for cell division, chemotaxis and morphogenesis. We chose the yeast Saccharomyces cerevisiae as an exemplary model system which entails the shuttling of small Rho GTPases such as Cdc42 and Rho, between an active membrane-bound form and an inactive cytosolic form. We used partial differential equations to describe the membrane-cytosol shuttling of proteins. In this study, a consistent extension of a class of 1D reaction-diffusion systems into higher space dimensions is suggested. The membrane is modeled as a thin layer to allow for lateral diffusion and the cytosol is modeled as an enclosed volume. Two well-known polarization mechanisms were considered. One shows the classical Turing-instability patterns, the other exhibits wave-pinning dynamics. For both models, we investigated how cell shape and diffusion barriers like septin structures or bud scars influence the formation of signaling molecule clusters and subsequent polarization. An extensive set of in silico experiments with different modeling hypotheses illustrated the dependence of cell polarization models on local membrane curvature, cell size and inhomogeneities on the membrane and in the cytosol. In particular, the results of our computer simulations suggested that for both mechanisms, local diffusion barriers on the membrane facilitate Rho GTPase aggregation, while diffusion barriers in the cytosol and cell protrusions limit spontaneous molecule aggregations of active Rho GTPase locally.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cell Membrane / physiology*
  • Cell Polarity*
  • Cell Shape
  • Computational Biology
  • Diffusion
  • Models, Biological
  • Saccharomyces cerevisiae / physiology*
  • Spatial Analysis
  • rho GTP-Binding Proteins / metabolism

Substances

  • rho GTP-Binding Proteins