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Related Experiment Videos

Modelling receptor-controlled intracellular calcium oscillators.

K S Cuthbertson1, T R Chay

  • 1Department of Human Anatomy and Cell Biology, University of Liverpool, UK.

Cell Calcium
|February 1, 1991
PubMed
Summary
This summary is machine-generated.

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Mathematical models explain hepatocyte calcium oscillations by detailing how GTP-binding proteins activate phospholipase C (PLC), leading to calcium transients. These models reveal how receptor type influences oscillation dynamics, offering insights into cellular signaling.

Area of Science:

  • Biochemistry
  • Cell Biology
  • Mathematical Modeling

Background:

  • Intracellular calcium oscillations are crucial for cellular functions.
  • Observed calcium oscillations exhibit complex dynamics dependent on receptor type.
  • Existing models do not fully capture the nuances of these oscillations.

Purpose of the Study:

  • To develop mathematical models for hepatocyte calcium oscillators.
  • To explain the receptor-type dependence of calcium oscillation features.
  • To investigate the roles of GTP-binding proteins, phospholipase C, and feedback mechanisms.

Main Methods:

  • Development of mathematical models based on informal models of calcium oscillations.
  • Incorporation of GTP-binding protein build-up, positive feedback to phospholipase C (PLC), and negative feedback loops.

Related Experiment Videos

  • Simulation of receptor-controlled intracellular calcium oscillators.

    • Main Results:

    • Models predict pulsatile oscillations in inositol (1,4,5)P3 and free calcium.
    • Simulated oscillators replicate features like frequency dependence on agonist concentration.
    • Transient duration dependence on receptor and G-protein type is demonstrated.

    Conclusions:

    • Mathematical models successfully simulate key features of intracellular calcium oscillations.
    • Negative feedback mechanisms involving protein kinase C (PKC) or GTPase activity are critical.
    • A PLC-dependent GTPase activating factor (GAF) may explain puzzling oscillation characteristics.