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Parallel Measurement of Circadian Clock Gene Expression and Hormone Secretion in Human Primary Cell Cultures
Published on: November 11, 2016
A stochastic model for circadian rhythms from coupled ultradian oscillators
Roderick Edwards1, Richard Gibson, Reinhard Illner
1Department of Mathematics and Statistics, University of Victoria, Victoria, BC, Canada. edwards@math.uvic.ca
This study demonstrates that coupled ultradian oscillators can generate circadian rhythms, showing robustness against inherent stochasticity in protein binding and unbinding. The model confirms that deterministic behavior emerges from stochastic processes.
Area of Science:
- Biophysics
- Systems Biology
- Biochemistry
Background:
- Circadian rhythms are fundamental biological processes observed across diverse organisms.
- Previous models proposed coupling ultradian transcriptional-translational oscillators (TTOs) to generate circadian rhythms.
- The role of inherent stochasticity in protein binding/unbinding on circadian oscillations needed further investigation.
Purpose of the Study:
- To investigate the robustness of a proposed model for circadian rhythm generation via coupled TTOs.
- To determine if stochasticity in protein binding/unbinding affects the emergence of clear circadian oscillations.
- To mathematically prove the emergence of a deterministic model from a stochastic one.
Main Methods:
- Development of two versions of the TTO model: a stochastic version and a deterministic, time-averaged version.
- Mathematical rigorous proof demonstrating the emergence of the deterministic model from the stochastic model.
- Numerical simulations to compare results from both stochastic and deterministic models.
Main Results:
- The model demonstrates robustness to stochasticity in protein binding/unbinding, even at rates significantly slower than experimental values.
- Stochastic effects do not invalidate the observation of clear circadian oscillations.
- The deterministic, time-averaged system rigorously emerges as the fast-binding-rate limit of the full stochastic model.
Conclusions:
- The proposed model for circadian rhythm generation via coupled TTOs is robust to inherent molecular noise.
- Mathematical rigor confirms the relationship between stochastic and deterministic descriptions of the system.
- This work provides a validated framework for understanding the origin and mechanisms of circadian rhythms.
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