Data-driven modelling of the inositol trisphosphate receptor (IPR) and its role in calcium induced calcium release (CICR)
Ivo Siekmann, Pengxing Cao, James Sneyd, Edmund J. Crampin

TL;DR
This paper reviews data-driven models of the inositol trisphosphate receptor (IPR), emphasizing modal gating's role in calcium signaling and demonstrating how simplified models can effectively capture essential receptor dynamics.
Contribution
It provides a comprehensive overview of modeling approaches based on experimental data, illustrating the integration of various data sources into Markov models and highlighting model reduction techniques.
Findings
Modal gating is the key mechanism in ligand regulation of IPR.
Simplified two-state models can preserve essential calcium dynamics features.
Data-driven models can be tailored to different levels of complexity for specific applications.
Abstract
We give a review of the current state of the art of data-driven modelling of the inositol trisphosphate receptor (IPR). After explaining that the IPR plays a crucial role as a central regulator in calcium dynamics, several sources of relevant experimental data are introduced. Single ion channels are best studied by recording single-channel currents under different ligand concentrations via the patch-clamp technique. The particular relevance of modal gating, the spontaneous switching between different levels of channel activity that occur even at constant ligand concentrations, is highlighted. In order to investigate the interactions of IPRs, calcium release from small clusters of channels, so-called calcium puffs, can be used. We then present the mathematical framework common to all models based on single-channel data, aggregated continuous-time Markov models, and give a short review of…
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Taxonomy
TopicsReceptor Mechanisms and Signaling
