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A 3-D computational model predicts that cell deformation affects selectin-mediated leukocyte rolling
Sameer Jadhav1, Charles D Eggleton, Konstantinos Konstantopoulos
1Department of Chemical and Biomolecular Engineering, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Biophysical Journal
|October 19, 2004
Summary
Cell stiffness influences leukocyte rolling during inflammation. More compliant cells exhibit smoother, slower rolling due to increased contact, while stiffer cells have fewer, shorter-lived bonds.
Area of Science:
- Biophysics
- Immunology
- Computational Biology
Background:
- Leukocyte recruitment initiates inflammation via rolling on endothelium.
- Cellular properties like deformability affect rolling dynamics.
- Existing models lack accuracy for deformable cells and stochastic interactions.
Purpose of the Study:
- To develop a 3D computational model for predicting receptor-mediated rolling of deformable cells.
- To investigate the impact of cellular properties on leukocyte rolling behavior.
- To couple hydrodynamic forces with stochastic receptor-ligand interactions.
Main Methods:
- Developed a 3D computational model using the immersed boundary method.
- Incorporated Monte Carlo simulations for stochastic receptor-ligand interactions.
- Simulated deformable cells in shear flow.
Main Results:
- More compliant cells show smoother, slower rolling due to larger contact area.
- Membrane stiffness inversely affects the number of bonds per cell and microvillus.
- Bond lifetime decreases with shear rate and membrane stiffness.
Conclusions:
- Cellular deformability significantly modulates leukocyte rolling dynamics.
- The model accurately captures the interplay between hydrodynamic and bond forces.
- Explains stable leukocyte rolling across various shear rates, unlike rigid spheres.