Dynamic states of cells adhering in shear flow: from slipping to rolling
C. B. Korn, U. S. Schwarz (University of Heidelberg, Bioquant)

TL;DR
This study uses advanced computer simulations to analyze how cells adhere and move in shear flow, revealing five dynamic states and the effects of various parameters on cell adhesion and rolling behavior.
Contribution
The paper introduces a comprehensive simulation model that fully resolves receptor and ligand positions, providing new insights into cell adhesion dynamics under shear flow.
Findings
Identified five distinct cell motion states in shear flow.
Mapped transitions between states based on bond formation and rupture rates.
Found viscosity increases expand stable rolling regions at the expense of firm adhesion.
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…
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