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A dynamical model for receptor-mediated cell adhesion to surfaces.

D A Hammer1, D A Lauffenburger

  • 1Department of Chemical Engineering, University of Pennsylvania, Philadelphia 19104.

Biophysical Journal
|September 1, 1987
PubMed
Summary

This study introduces a cell adhesion model predicting when cells stick to surfaces based on receptor-ligand interactions. It reveals two key adhesion regimes: rate-controlled and affinity-controlled, explaining experimental observations.

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Area of Science:

  • Biophysics
  • Cell Biology
  • Surface Chemistry

Background:

  • Cell adhesion is crucial for biological processes.
  • Understanding receptor-ligand interactions under fluid flow is complex.
  • Existing models may not fully capture dynamic adhesion under shear stress.

Purpose of the Study:

  • To develop a dynamical model for receptor-mediated cell adhesion in a shear field.
  • To predict conditions governing cell adhesion to ligand-coated surfaces.
  • To identify key physical and chemical factors influencing adhesion.

Main Methods:

  • Developed a "point attachment model" for cell-surface contact.
  • Utilized phase plane analysis of nonlinear ordinary differential equations.
  • Analyzed changes in free receptor density and bond density over time.

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Main Results:

  • Adhesion depends on dimensionless quantities like bond formation rate, receptor-ligand affinity, fluid force, receptor mobility, and contact area.
  • Identified two adhesion regimes: rate-controlled (high affinity) and affinity-controlled (low affinity).
  • Provided approximate analytical solutions for testing model predictions.

Conclusions:

  • The model explains diverse experimental observations by differentiating between adhesion regimes.
  • Understanding these regimes is key to predicting and controlling cell adhesion.
  • The model offers a framework for experimental validation of cell-surface interaction dynamics.