English

Many-body effects in tracer particle diffusion with applications for single-protein dynamics on DNA

Statistical Mechanics 2015-06-23 v1 Subcellular Processes

Abstract

30% of the DNA in E. coli bacteria is covered by proteins. Such high degree of crowding affect the dynamics of generic biological processes (e.g. gene regulation, DNA repair, protein diffusion etc.) in ways that are not yet fully understood. In this paper, we theoretically address the diffusion constant of a tracer particle in a one dimensional system surrounded by impenetrable crowder particles. While the tracer particle always stays on the lattice, crowder particles may unbind to a surrounding bulk and rebind at another or the same location. In this scenario we determine how the long time diffusion constant D{\cal D} (after many unbinding events) depends on (i) the unbinding rate of crowder particles koffk_{\rm off}, and (ii) crowder particle line density ρ\rho, from simulations (Gillespie algorithm) and analytical calculations. For small koffk_{\rm off}, we find Dkoff/ρ2{\cal D}\sim k_{\rm off}/\rho^2 when crowder particles are immobile on the line, and DDkoff/ρ{\cal D}\sim \sqrt{D k_{\rm off}}/\rho when they are diffusing; DD is the free particle diffusion constant. For large koffk_{\rm off}, we find agreement with mean-field results which do not depend on koffk_{\rm off}. From literature values of koffk_{\rm off} and DD, we show that the small koffk_{\rm off}-limit is relevant for in vivo protein diffusion on a crowded DNA. Our results applies to single-molecule tracking experiments.

Keywords

Cite

@article{arxiv.1502.02164,
  title  = {Many-body effects in tracer particle diffusion with applications for single-protein dynamics on DNA},
  author = {Sebastian Ahlberg and Tobias Ambjörnsson and Ludvig Lizana},
  journal= {arXiv preprint arXiv:1502.02164},
  year   = {2015}
}

Comments

10 pages, 8 figures