Phenomenological approach to eukaryotic chemotactic efficiency

Phys Rev E Stat Nonlin Soft Matter Phys. 2010 Mar;81(3 Pt 1):031906. doi: 10.1103/PhysRevE.81.031906. Epub 2010 Mar 8.

Abstract

Eukaryotic cells are capable of detecting small chemical gradients for a wide range of background concentrations. Ultimately, fluctuations place a limit on gradient sensing and recent work has focused on the role of stochastic receptor occupancy as one possible limiting factor. Here, we use a phenomenological approach to add spontaneous motility fluctuations to receptor noise and predict the directional statistics of eukaryotic chemotaxis. Specifically, an Itô diffusion equation with direction-dependent multiplicative noise is developed and analytically studied. We show that our approach can naturally accommodate recent experimental data for the chemotaxis of the social amoeba Dictyostelium.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Chemotaxis / physiology*
  • Computer Simulation
  • Dictyostelium / physiology*
  • Eukaryotic Cells / physiology*
  • Models, Biological*