ArticleBiophysical journal2014
Molecular mechanisms that regulate the coupled period of the mammalian circadian clock.
Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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30 citing papers in PubMed.
- A compartmentalized SCN model explains temperature resistance through interregional phase differences.PLoS computational biology · 2026Article
- Stoichiometric balance and sustained rhythms.Journal of mathematical biology · 2026Article
- Circadian clock model with sequestration repression motif: existence of periodic orbits and entrainment properties.Interface focus · 2025Article
- Modeling the geometry of circadian synchronization and period across aging.Biogerontology · 2025Article
- A minimal model of peripheral clocks reveals differential circadian re-entrainment in aging.Chaos (Woodbury, N.Y.) · 2023Article
- Spatially coordinated collective phosphorylation filters spatiotemporal noises for precise circadian timekeeping.iScience · 2023Article
- Combined multiple transcriptional repression mechanisms generate ultrasensitivity and oscillations.Interface focus · 2022Article
- Cycle dynamics and synchronization in a coupled network of peripheral circadian clocks.Interface focus · 2022Article
- Mathematical analysis of robustness of oscillations in models of the mammalian circadian clock.PLoS computational biology · 2022Article
- Review
- Circadian rhythm shows potential for mRNA efficiency and self-organized division of labor in multinucleate cells.PLoS computational biology · 2021Article
- A stochastic oscillator model simulates the entrainment of vertebrate cellular clocks by light.Scientific reports · 2021Article
- Collective Oscillations in Coupled-Cell Systems.Bulletin of mathematical biology · 2021Article
- Misuse of the Michaelis-Menten rate law for protein interaction networks and its remedy.PLoS computational biology · 2020Review
- Long-range temporal coordination of gene expression in synthetic microbial consortia.Nature chemical biology · 2019Article
- Filtering and inference for stochastic oscillators with distributed delays.Bioinformatics (Oxford, England) · 2019Article
- The choroid plexus is an important circadian clock component.Nature communications · 2018Article
- CLOCKΔ19 mutation modifies the manner of synchrony among oscillation neurons in the suprachiasmatic nucleus.Scientific reports · 2018Article
- Ensemble methods for stochastic networks with special reference to the biological clock of Neurospora crassa.PloS one · 2018Article
- Designing synthetic networks in silico: a generalised evolutionary algorithm approach.BMC systems biology · 2017Article
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4 authors.
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Abstract
In mammals, most cells in the brain and peripheral tissues generate circadian (∼24 h) rhythms autonomously. These self-sustained rhythms are coordinated and entrained by a master circadian clock in the suprachiasmatic nucleus (SCN). Within the SCN, the individual rhythms of each neuron are synchronized through intercellular signaling. One important feature of SCN is that the synchronized period is close to the population mean of cells' intrinsic periods. In this way, the synchronized period of the SCN stays close to the periods of cells in peripheral tissues. This is important because the SCN must entrain cells throughout the body. However, the mechanism that drives the period of the coupled SCN cells to the population mean is not known. We use mathematical modeling and analysis to show that the mechanism of transcription repression in the intracellular feedback loop plays a pivotal role in regulating the coupled period. Specifically, we use phase response curve analysis to show that the coupled period within the SCN stays near the population mean if transcriptional repression occurs via protein sequestration. In contrast, the coupled period is far from the mean if repression occurs through highly nonlinear Hill-type regulation (e.g., oligomer- or phosphorylation-based repression), as widely assumed in previous mathematical models. Furthermore, we find that the timescale of intercellular coupling needs to be fast compared to that of intracellular feedback to maintain the mean period. These findings reveal the important relationship between the intracellular transcriptional feedback loop and intercellular coupling. This relationship explains why transcriptional repression appears to occur via protein sequestration in multicellular organisms, mammals, and Drosophila, in contrast with the phosphorylation-based repression in unicellular organisms and syncytia. That is, transition to protein sequestration is essential for synchronizing multiple cells with a period close to the population mean (∼24 h).
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