Low-dimensional Dynamics of Two Coupled Biological Oscillators
| Autor: | Droin, Colas, Paquet, Eric R, Naef, Felix |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Stochastic modelling
Quantitative Biology::Tissues and Organs Period (gene) likelihood Circadian clock General Physics and Astronomy Context (language use) 01 natural sciences Synchronization Article Quantitative Biology::Cell Behavior 010305 fluids & plasmas 03 medical and health sciences 0302 clinical medicine 0103 physical sciences division phase rhythms 010306 general physics time 030304 developmental biology Physics 0303 health sciences Dynamics (mechanics) Robustness (evolution) circadian gene-expression clock Coupling (physics) cell-cycle Biological system reveals 030217 neurology & neurosurgery |
| Zdroj: | Nat Phys |
| ISSN: | 1745-2473 |
| Popis: | The circadian clock and the cell cycle are two biological oscillatory processes that coexist within individual cells. These two oscillators were found to interact, which can lead to their synchronization. Here, we develop a method to identify a low-dimensional stochastic model of the coupled system directly from time-lapse imaging in single cells. In particular, we infer the coupling and nonlinear dynamics of the two oscillators from thousands of mouse and human single-cell fluorescence microscopy traces. This coupling predicts multiple phase-locked states showing different degrees of robustness against molecular fluctuations inherent to cellular-scale biological oscillators. For the 1:1 state, the predicted phase-shifts following period perturbations were validated experimentally. Moreover, the phase-locked states are temperature-independent and evolutionarily conserved from mouse to human, hinting at a common underlying dynamical mechanism. Finally, we detect a signature of the coupled dynamics in a physiological context, explaining why tissues with different proliferation states exhibited shifted circadian clock phases. |
| Databáze: | OpenAIRE |
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