Related Experiment Videos
A stochastic model of leukocyte rolling
1Department of Bioengineering, University of California, San Diego, La Jolla 92093, USA.
Biophysical Journal
|October 1, 1995
Summary
This study presents a stochastic model for cell rolling dynamics, offering a new method to analyze experimental data. The model helps understand leukocyte recruitment by characterizing molecular bonds under flow conditions.
Area of Science:
- Biophysics
- Cellular Mechanics
- Immunology
Background:
- Selectin-mediated leukocyte rolling is crucial for inflammatory responses.
- Cellular rolling motion exhibits random fluctuations in vivo and in vitro.
- Understanding these dynamics requires sophisticated modeling approaches.
Purpose of the Study:
- To develop a stochastic model for the micromechanics of cell rolling under flow.
- To provide an analytical method for analyzing experimental data on cell rolling.
- To link cellular motion to underlying molecular bond characteristics.
Main Methods:
- Development of a stochastic model for cell rolling.
- Analytical derivation of velocity distributions for homogeneous and heterogeneous cell populations.
- Application of the model to experimental data for neutrophils rolling on E-selectin.
Main Results:
- The model accurately predicts velocity distributions for homogeneous cell populations.
- It analytically separates temporal fluctuations from population heterogeneity in rolling velocities.
- Estimates were derived for the distance between molecular bond clusters and their resistance duration.
Conclusions:
- The stochastic model provides a robust framework for analyzing cell rolling micromechanics.
- It enables characterization of molecular bond dynamics, such as distribution and release rates.
- This approach advances the understanding of leukocyte recruitment in inflammation.