Modeling IP3-induced Ca2+ signaling based on its interspike interval statistics

被引:4
作者
Friedhoff, Victor Nicolai [1 ,2 ]
Lindner, Benjamin [2 ,3 ]
Falcke, Martin [1 ,2 ]
机构
[1] Max Delbruck Ctr Mol Med Helmholtz Assoc, Berlin, Germany
[2] Humboldt Univ, Dept Phys, Berlin, Germany
[3] Bernstein Ctr Computat Neurosci Berlin, Berlin, Germany
关键词
INOSITOL 1,4,5-TRISPHOSPHATE RECEPTOR; CALCIUM OSCILLATIONS; KINETIC-MODEL; DIFFERENTIAL REGULATION; IP3; RECEPTORS; SINGLE; TRISPHOSPHATE; PUFFS; RELEASE; DYNAMICS;
D O I
10.1016/j.bpj.2023.06.004
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Inositol 1,4,5-trisphosphate (IP3)-induced Ca2+ signaling is a second messenger system used by almost all eu-karyotic cells. Recent research demonstrated randomness of Ca2+ signaling on all structural levels. We compile eight general properties of Ca2+ spiking common to all cell types investigated and suggest a theory of Ca2+ spiking starting from the random behavior of IP3 receptor channel clusters mediating the release of Ca2+ from the endoplasmic reticulum capturing all general properties and pathway-specific behavior. Spike generation begins after the absolute refractory period of the previous spike. According to its hierarchical spreading from initiating channel openings to cell level, we describe it as a first passage process from none to all clusters open while the cell recovers from the inhibition which terminated the previous spike. Our theory repro-duces the exponential stimulation response relation of the average interspike interval Tav and its robustness properties, random spike timing with a linear moment relation between Tav and the interspike interval SD and its robustness properties, sensitive dependency of Tav on diffusion properties, and nonoscillatory local dynamics. We explain large cell variability of Tav observed in experiments by variability of channel cluster coupling by Ca2+-induced Ca2+ release, the number of clusters, and IP3 pathway component expression levels. We predict the relation between puff probability and agonist concentration and [IP3] and agonist concentration. Differences of spike behavior between cell types and stimulating agonists are explained by the different types of negative feedback terminating spikes. In summary, the hierarchical random character of spike generation explains all of the identified general properties.
引用
收藏
页码:2818 / 2831
页数:14
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