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• W4366415400 abstract "The mammalian cell cycle is governed by a network of cyclin/Cdk complexes which signal the progression into the successive phases of the cell division cycle. Once coupled to the circadian clock, this network produces oscillations with a 24 h period such that the progression into each phase of the cell cycle is synchronized to the day–night cycle. Here, we use a computational model for the circadian clock control of the cell cycle to investigate the entrainment in a population of cells characterized by some variability in the kinetic parameters. Our numerical simulations showed that successful entrainment and synchronization are only possible with a sufficient circadian amplitude and an autonomous period close to 24 h. Cellular heterogeneity, however, introduces some variability in the entrainment phase of the cells. Many cancer cells have a disrupted clock or compromised clock control. In these conditions, the cell cycle runs independently of the circadian clock, leading to a lack of synchronization of cancer cells. When the coupling is weak, entrainment is largely impacted, but cells maintain a tendency to divide at specific times of day. These differential entrainment features between healthy and cancer cells can be exploited to optimize the timing of anti-cancer drug administration in order to minimize their toxicity and to maximize their efficacy. We then used our model to simulate such chronotherapeutic treatments and to predict the optimal timing for anti-cancer drugs targeting specific phases of the cell cycle. Although qualitative, the model highlights the need to better characterize cellular heterogeneity and synchronization in cell populations as well as their consequences for circadian entrainment in order to design successful chronopharmacological protocols." @default.
• W4366415400 created "2023-04-21" @default.
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• W4366415400 date "2023-04-18" @default.
• W4366415400 modified "2023-10-14" @default.
• W4366415400 title "Modeling the Circadian Control of the Cell Cycle and Its Consequences for Cancer Chronotherapy" @default.
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• W4366415400 doi "https://doi.org/10.3390/biology12040612" @default.
• W4366415400 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37106812" @default.
• W4366415400 hasPublicationYear "2023" @default.
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