Strong-coupling dynamics of a multi-cellular chemotactic system

Biology – Quantitative Biology – Cell Behavior

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 pages, 2 figures

Scientific paper

10.1103/PhysRevLett.95.128103

Chemical signaling is one of the ubiquitous mechanisms by which inter-cellular communication takes place at the microscopic level, particularly via chemotaxis. Such multi-cellular systems are popularly studied using continuum, mean-field equations. In this letter we study a stochastic model of chemotactic signaling. The Langevin formalism of the model makes it amenable to calculation via non-perturbative analysis, which enables a quantification of the effect of fluctuations on both the weak and strongly-coupled biological dynamics. In particular we show that the (i) self-localization due to auto-chemotaxis is impossible. (ii) when aggregation occurs, the aggregate performs a random walk with a renormalized diffusion coefficient $D_R \propto \epsilon^{-2} N^{-3}$. (iii) the stochastic model exhibits sharp transitions in cell motile behavior for negative chemotaxis, behavior which has no parallel in the mean-field Keller-Segel equations.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Strong-coupling dynamics of a multi-cellular chemotactic system does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Strong-coupling dynamics of a multi-cellular chemotactic system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Strong-coupling dynamics of a multi-cellular chemotactic system will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-460748

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.