From simple to detailed models for cell polarization.
Many mathematical models have been proposed for the process of cell polarization. Some of these are 'functional models' that capture a class of dynamical behaviour, whereas others are derived from features of signalling molecules. Some mechanistic models are detailed, and therefore complex, whereas others are simplified. Each type contributes to our understanding of cell polarization. However, the huge variety at different levels of detail makes comparisons challenging. Here, we provide examples of both elementary and more detailed models for polarization. We also display how a recent mathematical method, local perturbation analysis, can provide an appropriate tool for such comparisons. This technique simplifies and speeds up the model development process by revealing the effect of model extensions, parameter variations and in silico manipulations such as knock-out or over-expression of key molecules. Finally, simulations in both one dimension and two dimensions, and particularly in deforming two-dimensional 'cells', can highlight behaviour not captured by traditional simulation methods.
Department of Mathematics, University of British Columbia, , Vancouver, British Columbia, Canada , V6T 1Z2.
Leah
L
Edelstein-Keshet
William R
WR
Holmes
Mark
M
Zajac
Meghan
M
Dutot
D016764:Cell Polarity / Q000502:physiology*; D048430:Cell Shape / Q000502:physiology*; D003198:Computer Simulation; D008954:Models, Biological; D020559:Monomeric GTP-Binding Proteins / Q000378:metabolism
D020559:Monomeric GTP-Binding Proteins
cell polarization; mathematical analysis; pattern formation; reaction–diffusion equations