A review benchmarking regression, network, and decomposition methods on the Oregonator model under the Koopman operator framework, with illustrative experiments on simulated data.
Spiral waves speed up cell cycle oscillations in the frog cytoplasm
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abstract
Spiral waves are a well-known phenomenon in excitable media, playing critical roles in biological systems such as cardiac tissues, where they are involved in arrhythmias, and in slime molds, where they guide collective cell migration. However, their presence in the cytoplasm of cells has not been reported to date. In this study, we present the observation of spiral waves in a Xenopus laevis frog egg extract reconstituting periodic cell cycle transitions. We find that the emergence of these spiral waves accelerates the cell division cycle nearly twofold. Using two distinct computational models, we demonstrate that this behavior arises from generic principles and is driven primarily by time-scale separation in the cell cycle oscillator. Additionally, we investigate the interplay between these spiral waves and the more commonly observed target pattern waves in the frog cytoplasm, providing new insights into their dynamic interactions.
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Data-driven discovery of dynamical models in biology
A review benchmarking regression, network, and decomposition methods on the Oregonator model under the Koopman operator framework, with illustrative experiments on simulated data.