Cell information processing via frequency encoding and excitability

ALAN GIVRE; SILVINA PONCE DAWSON

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT

IOP PUBLISHING LTD

Lugar: Londres; Año: 2024

1742-5468

Cells continuously interact with their environment mediating their responses through signaling cascades. Very often, external stimuli induce pulsatile behaviors in intermediaries of the cascade of increasing frequency with the stimulus strength. This is characteristic of intracellular Ca2+ signals involving Ca2+ release through Inositol Trisphosphate Receptors (IP3Rs). The mean frequency of IP3R-mediated Ca2+ pulses has been observed to scale exponentially with the stimulus strength in many cell types. In this paper we use a simple ODE model of the intracellular Ca2+ dynamics for parameters for which there is one excitable fixed point. Including fluctuations through an additive noise term, we derive the mean escape rate from the stationary state and, thus, the mean interpulse time, as a function of the fraction, beta, of readily openable IP3Rs. Using an IP3R kinetic model, experimental observations of spatially resolved Ca2+ signals and previous estimates of the IP3 produced upon stimulation we quantify the fluctuations and relate beta to [IP3] and the stimulus strength. In this way we determine that the mean interpulse time can be approximated by an exponential function of the latter for ranges such that the covered mean time intervals are similar or larger than those observed experimentally. The study thus provides an easily interpretable explanation, applicable to other pulsatile signaling intermediaries, of the observed exponential dependence between frequency and stimulus, a key feature that makes frequency encoding qualitatively different from other ways commonly used by cells to read their environment.