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Receptor aggregation by intermembrane interactions: a Monte Carlo study.

G Matthew Fricke1, James L Thomas

  • 1Department of Computer Science, University of New Mexico, Albuquerque, NM, USA.

Biophysical Chemistry
|October 18, 2005
PubMed
Summary
This summary is machine-generated.

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Weak interactions between cell surface receptors and ligands can drive large-scale clustering upon cell-cell contact. This cooperative process, akin to phase separation, explains receptor aggregation and T cell activation dynamics.

Area of Science:

  • Cell biology
  • Biophysics
  • Computational biology

Background:

  • Lateral organization and clustering of cell surface receptors are crucial for signal transduction.
  • Cell-cell contact can induce receptor aggregation, even with weak monovalent interactions.
  • Existing models for T cell activation present a dichotomy between serial triggering and aggregation.

Purpose of the Study:

  • To investigate if weak enthalpic interactions between receptors and ligands can synergistically induce large-scale clustering at the interface of two apposed membranes.
  • To explore the implications of this clustering mechanism for understanding T cell activation.

Main Methods:

  • Monte Carlo simulations were performed using a two-membrane model.
  • The model incorporated weak enthalpic interactions among receptors in one membrane and ligands in another.

Related Experiment Videos

  • Simulations analyzed the conditions leading to receptor-ligand clustering upon membrane contact.

    • Main Results:

    • Simulations support the hypothesis that weak interactions can synergistically drive large-scale clustering.
    • Clustering exhibits characteristics of a cooperative process, similar to phase separation.
    • Receptors and ligands can undergo dynamic binding and unbinding within a clustered phase, with potential for multivalent interactions.

    Conclusions:

    • Weak molecular interactions can be sufficient to generate significant receptor-ligand clustering at cell-cell interfaces.
    • This clustering mechanism offers a potential resolution to the debate between serial triggering and aggregation models of T cell activation.
    • The findings highlight the importance of cooperative effects and dynamic binding in cell surface organization and signaling.