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A thermodynamic model for receptor clustering.

C Guo1, H Levine

  • 1Department of Physics, University of California, San Diego, La Jolla, California 92093-0319, USA.

Biophysical Journal
|November 5, 1999
PubMed
Summary
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Ligand binding triggers cell surface receptor clustering, a key step in cellular signaling. Our model explains this cooperative process, revealing a first-order transition that enhances signal robustness.

Area of Science:

  • Biophysics
  • Cellular Biology
  • Theoretical Biology

Background:

  • Intracellular signaling is initiated by ligand-induced clustering of cell surface receptors.
  • Receptor clustering is a cooperative phenomenon influencing signal transduction pathways.
  • Existing research lacks a predictive theoretical framework for receptor cluster formation.

Purpose of the Study:

  • To develop a simple, coarse-grained phenomenological model for ligand-modulated receptor interactions.
  • To analyze the equilibrium properties of receptor clustering using mean-field theory.
  • To explore the implications of the model's predicted transitions on cellular signaling robustness.

Main Methods:

  • Development of a coarse-grained phenomenological model for receptor-ligand interactions.

Related Experiment Videos

  • Application of mean-field theory to determine equilibrium properties of the model.
  • Analysis of phase transitions within the proposed theoretical framework.
  • Main Results:

    • The model successfully describes ligand-modulated receptor interactions and clustering.
    • Mean-field analysis reveals the equilibrium properties of the cooperative clustering process.
    • A first-order phase transition was identified, indicating a switch-like behavior in cluster formation.

    Conclusions:

    • The proposed model provides a simplified yet powerful framework for understanding receptor clustering.
    • The identified first-order transition suggests a mechanism for robust cellular signaling responses.
    • This theoretical approach can bridge molecular interaction data with macroscopic signaling behavior.