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Fluorescent Calcium Imaging and Subsequent In Situ Hybridization for Neuronal Precursor Characterization in Xenopus laevis

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Microdomain calcium fluctuations as a colored noise process.

Frederic von Wegner¹, Nicolas Wieder¹, Rainer H A Fink¹

¹Medical Biophysics Group, Institute of Physiology and Pathophysiology, Heidelberg University Heidelberg, Germany.

Frontiers in Genetics

|November 19, 2014

Summary

Intracellular calcium signals exhibit inherent noise due to diffusion and binding. This study models calcium fluctuations as a colored noise process, impacting cellular signaling pathways.

Keywords:

Gillespie algorithm Ornstein-Uhlenbeck process calcium microdomains calcium signaling chemical Langevin equation molecular noise stochastic simulation

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Area of Science:

Biophysics
Cellular Signaling
Computational Biology

Background:

Calcium ions (Ca2+) are crucial intracellular messengers regulating diverse cellular processes.
Intracellular Ca2+ concentrations exhibit inherent stochasticity (noise) due to diffusion, buffer interactions, and channel gating.

Purpose of the Study:

To investigate the properties of fluctuating intracellular calcium concentrations in small cellular volumes.
To analyze the impact of calcium noise on cellular signaling dynamics.

Main Methods:

Utilized an exact stochastic simulation algorithm for sub-femtoliter volumes.
Employed approximations like the chemical Langevin description and excess buffer approximation.
Developed fast approximative algorithms and theoretical connections to the Ornstein-Uhlenbeck process.

Main Results:

Demonstrated that local calcium concentration dynamics follow a colored noise process.
Showed autocorrelation time depends on buffer kinetics and diffusion constants.
Illustrated how calcium noise can induce transitions in signaling pathways using a double-well potential model.

Conclusions:

Inherent stochasticity in calcium signals significantly influences intracellular signaling pathways.
Provides efficient methods for incorporating calcium noise into cellular signaling models.
Highlights the importance of considering noise in understanding calcium-mediated cellular functions.