cicyt UNIZAR
Full-text links:

Download:

Current browse context:

physics.bio-ph

Change to browse by:

References & Citations

Bookmark

(what is this?)
CiteULike logo BibSonomy logo Mendeley logo del.icio.us logo Digg logo Reddit logo ScienceWISE logo

Physics > Biological Physics

Title: Actin filaments growing against an elastic membrane: Effect of membrane tension

Abstract: We study the force generation by a set of parallel actin filaments growing against an elastic membrane. The elastic membrane tries to stay flat and any deformation from this flat state, either caused by thermal fluctuations or due to protrusive polymerization force exerted by the filaments, costs energy. We study two lattice models to describe the membrane dynamics. In one case, the energy cost is assumed to be proportional to the absolute magnitude of the height gradient (gradient model) and in the other case it is proportional to the square of the height gradient (Gaussian model). For the gradient model we find that the membrane velocity is a non-monotonic function of the elastic constant $\mu$, and reaches a peak at $\mu=\mu^\ast$. For $\mu < \mu^\ast$ the system fails to reach a steady state and the membrane energy keeps increasing with time. For the Gaussian model, the system always reaches a steady state and the membrane velocity decreases monotonically with the elastic constant $\nu$ for all nonzero values of $\nu$. Multiple filaments give rise to protrusions at different regions of the membrane and the elasticity of the membrane induces an effective attraction between the two protrusions in the Gaussian model which causes the protrusions to merge and a single wide protrusion is present in the system. In both the models, the relative time-scale between the membrane and filament dynamics plays an important role in deciding whether the shape of elasticity-velocity curve is concave or convex. Our numerical simulations agree reasonably well with our analytical calculations.
Comments: 16 pages, 13 figures
Subjects: Biological Physics (physics.bio-ph); Soft Condensed Matter (cond-mat.soft); Statistical Mechanics (cond-mat.stat-mech)
Journal reference: Physical Review E, vol. 97, 032408 (2018)
DOI: 10.1103/PhysRevE.97.032408
Cite as: arXiv:1803.06493 [physics.bio-ph]
  (or arXiv:1803.06493v1 [physics.bio-ph] for this version)

Submission history

From: Raj Kumar Sadhu [view email]
[v1] Sat, 17 Mar 2018 12:13:53 GMT (253kb)