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Updated: May 12, 2026

Applications of Spatio-temporal Mapping and Particle Analysis Techniques to Quantify Intracellular Ca2+ Signaling In Situ
Published on: January 7, 2019
Diffusive spatio-temporal noise in a first-passage time model for intracellular calcium release
Mark B Flegg1, Sten Rüdiger, Radek Erban
1Mathematical Institute, University of Oxford, 24-29 St Giles', Oxford OX1 3LB, United Kingdom. mark.flegg@maths.ox.ac.uk
Stochastic calcium signals, or calcium puffs, are crucial for cell function. This study shows that modeling calcium ion movement as purely deterministic overestimates signal timing, highlighting the importance of diffusive noise.
Area of Science:
- Cellular Biology
- Biophysics
- Computational Biology
Background:
- Intracellular calcium release from the endoplasmic reticulum is regulated by ion channels, generating complex spatio-temporal signals.
- Microscopic fluctuations and stochasticity in ion channel gating contribute to calcium signal dynamics.
- Current models often use deterministic reaction-diffusion equations for calcium distribution, potentially oversimplifying the system.
Purpose of the Study:
- To evaluate the validity of deterministic modeling for intracellular calcium signals.
- To compare a hybrid model (stochastic gating, deterministic calcium) with a fully stochastic model (stochastic gating, stochastic calcium motion).
- To calculate the frequency of localized calcium signals (calcium puffs) from clustered IP3 receptor channels.
Main Methods:
- Developed and compared two computational models: a hybrid stochastic-deterministic model and a fully stochastic model.
- Utilized the two-regime method for efficient simulation of large domains in the fully stochastic model.
- Calculated the first passage time for initial channel opening leading to a calcium puff event.
Main Results:
- Deterministic modeling of calcium concentration significantly overestimates the time between calcium puffs when diffusion is high.
- A fully stochastic model, incorporating Brownian motion of calcium ions, provides more accurate predictions.
- Diffusive noise in intracellular calcium ion concentrations substantially impacts the occurrence of calcium signals.
Conclusions:
- Deterministic models are insufficient for accurately capturing the frequency of calcium puffs, especially with high diffusion rates.
- Stochasticity in calcium ion movement is a critical factor influencing calcium signal dynamics.
- The findings are relevant for understanding cell physiology involving first-passage time problems with low ligand concentrations and high cooperativity.
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