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1.
Phys Rev E Stat Nonlin Soft Matter Phys ; 77(4 Pt 1): 041904, 2008 Apr.
Article in English | MEDLINE | ID: mdl-18517653

ABSTRACT

Motivated by rolling adhesion of white blood cells in the vasculature, we study how cells move in linear shear flow above a wall to which they can adhere via specific receptor-ligand bonds. Our computer simulations are based on a Langevin equation accounting for hydrodynamic interactions, thermal fluctuations, and adhesive interactions. In contrast to earlier approaches, our model not only includes stochastic rules for the formation and rupture of bonds, but also fully resolves both receptor and ligand positions. We identify five different dynamic states of motion in regard to the translational and angular velocities of the cell. The transitions between the different states are mapped out in a dynamic state diagram as a function of the rates for bond formation and rupture. For example, as the cell starts to adhere under the action of bonds, its translational and angular velocities become synchronized and the dynamic state changes from slipping to rolling. We also investigate the effect of nonmolecular parameters. In particular, we find that an increase in viscosity of the medium leads to a characteristic expansion of the region of stable rolling to the expense of the region of firm adhesion, but not to the expense of the regions of free or transient motion. Our results can be used in an inverse approach to determine single bond parameters from flow chamber data on rolling adhesion.


Subject(s)
Cell Adhesion/physiology , Cell Movement/physiology , Models, Biological , Neutrophils/physiology , Animals , Biomechanical Phenomena , Computer Simulation , Ligands , Probability , Receptors, Cell Surface/physiology , Rotation , Viscosity
2.
J Chem Phys ; 126(9): 095103, 2007 Mar 07.
Article in English | MEDLINE | ID: mdl-17362131

ABSTRACT

Motivated by cell adhesion in hydrodynamic flow, here the authors study bond formation between a spherical Brownian particle in linear shear flow carrying receptors for ligands covering the boundary wall. They derive the appropriate Langevin equation which includes multiplicative noise due to position-dependent mobility functions resulting from the Stokes equation. They present a numerical scheme which allows to simulate it with high accuracy for all model parameters, including shear rate and three parameters describing receptor geometry (distance, size, and height of the receptor patches). In the case of homogeneous coating, the mean first passage time problem can be solved exactly. In the case of position-resolved receptor-ligand binding, they identify different scaling regimes and discuss their biological relevance.


Subject(s)
Models, Biological , Models, Chemical , Receptors, Cell Surface/chemistry , Receptors, Cell Surface/physiology , Rheology , Cell Adhesion , Data Interpretation, Statistical , Ligands
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