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Modelling calcium microdomains using homogenisation.

Erin R Higgins1, Pranay Goel, Jose L Puglisi

  • 1Department of Mathematics, University of Auckland, Private Bag 92019, Auckland, New Zealand.

Journal of Theoretical Biology
|May 15, 2007
PubMed
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This study introduces a multiscale model linking detailed calcium microdomain behavior to whole-cell models, improving computational efficiency for cellular calcium dynamics. This advances understanding of critical cellular processes like cardiac function.

Area of Science:

  • Computational Biology
  • Cellular Physiology
  • Biophysics

Background:

  • Calcium microdomains are crucial for cellular signaling, particularly in cardiac cells at the dyadic cleft.
  • Existing computational models often simplify cellular structures due to computational limits, losing microdomain detail.
  • Linking detailed microdomain models with whole-cell models has been a significant challenge.

Purpose of the Study:

  • To develop a rigorous multiscale modeling approach for calcium microdomains.
  • To couple detailed microdomain models with homogenized whole-cell models.
  • To provide a computational framework for studying cellular calcium dynamics with improved accuracy and efficiency.

Main Methods:

  • Utilized a homogenization approach previously developed for calcium bidomain equations.

Related Experiment Videos

  • Constructed a multiscale model integrating a detailed microdomain model with a homogenized whole-cell model.
  • Applied the method to a model of the cardiac half-sarcomere dyadic cleft.

    • Main Results:

    • Successfully coupled a detailed microdomain model (separate ER and cytoplasm compartments) to a homogenized cell model.
    • Demonstrated a rigorous method for multiscale modeling of calcium dynamics.
    • Provided a validated approach for simulating calcium release control in cardiac cells.

    Conclusions:

    • The developed multiscale model offers a computationally feasible way to incorporate detailed microdomain structures into whole-cell models.
    • This approach enhances the understanding of cellular calcium signaling and its regulation.
    • The method has broad applicability for modeling various cell types and calcium-dependent processes.