Hawker, M, Cao, P, Kelly, RA, Sneyd, J and Siekmann, I (2025) A Ca2+ puff model based on integrodifferential equations. Journal of Mathematical Biology, 90. ISSN 0303-6812
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Abstract
The calcium signalling system is important for many cellular processes within the human body. Signals are transmitted within the cell by releasing calcium (Ca 2 + ) from the endoplasmic reticulum (ER) into the cytosol via clusters of Ca 2 + channels. Mathematical models of Ca 2 + release via inositol 1,4,5-trisphosphate receptors (IP3R) are used to compute Ca 2 + transients in regions that are difficult to measure directly. In particular, accounting for the data on Ca 2 + puffs as stochastic Ca 2 + release events in models remains challenging. Parameterising Markov models for representing the IP3R with steady-state single channel data obtained at fixed combinations of the ligands Ca 2 + and inositol-trisphosphate (IP3) has previously been demonstrated to be insufficient. However, by extending an IP3R model based on steady-state data with an integral term that incorporates the delayed response of the channel to varying Ca 2 + concentrations we succeed in generating realistic Ca 2 + puffs. By interpreting the integral term as a weighted average of Ca 2 + concentrations that extend over a time interval of length τ into the past we conclude that the IP3R requires a certain amount of memory of past ligand concentrations.
Item Type: | Article |
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Uncontrolled Keywords: | Integrodifferential equations; Piecewise deterministic Markov processes; Stochastic calcium dynamics; Time delayed Markov models; Inositol 1,4,5-Trisphosphate Receptors; Calcium Signaling; Models, Biological; Humans; Markov Chains; Calcium; Inositol 1,4,5-Trisphosphate; Mathematical Concepts; Endoplasmic Reticulum; Animals; Computer Simulation; Stochastic Processes; 01 Mathematical Sciences; 06 Biological Sciences; Bioinformatics; 31 Biological sciences; 49 Mathematical sciences |
Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QH Natural history > QH301 Biology |
Divisions: | Computer Science and Mathematics |
SWORD Depositor: | A Symplectic |
Date Deposited: | 26 Mar 2025 16:40 |
Last Modified: | 26 Mar 2025 16:45 |
DOI or ID number: | 10.1007/s00285-025-02202-3 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/26008 |
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