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Imaging Molecular Adhesion in Cell Rolling by Adhesion Footprint Assay
Published on: September 27, 2021
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Shear-driven rolling of DNA-adhesive microspheres
Christopher L Porter1, Scott L Diamond1, Talid Sinno1
1Department of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania.
Biophysical Journal
|April 10, 2021
Summary
This study models cell rolling using DNA-tethered microspheres, achieving quantitative agreement between experiments and simulations. The findings validate adhesive dynamics models for predicting cell adhesion and rolling behavior.
Area of Science:
- Biophysics
- Cellular Mechanics
- Adhesion Dynamics
Background:
- Multivalent cell binding, crucial for processes like leukocyte rolling, involves numerous weak ligand interactions.
- Quantitative modeling of cell rolling has been hindered by incomplete understanding of ligand binding and unbinding kinetics.
Purpose of the Study:
- To develop and validate a cell-free experimental model for studying multivalent ligand-mediated rolling.
- To quantitatively assess the predictive power of adhesive dynamics simulations for particle rolling behavior.
Main Methods:
- Utilized polymer microspheres with DNA strands as ligands to mimic cell adhesion to a surface.
- Employed a cell-free system to control ligand properties and experimental conditions.
- Applied adhesive dynamics simulations to model particle rolling and compare with experimental data.
Main Results:
- Observed robust rolling behavior of microspheres under specific shear rates and DNA ligand properties.
- Adhesive dynamics simulations accurately predicted mean rolling velocity and lateral diffusivity.
- The model also captured variations in velocity within single particle trajectories.
Conclusions:
- Validated the use of DNA-mediated microsphere rolling as a model system for studying cell adhesion.
- Confirmed the quantitative accuracy of adhesive dynamics simulations in capturing complex rolling physics.
- These findings support the extension of these simulation frameworks to more complex biological systems, such as rolling leukocytes.
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