ArticlePLoS biology2010
Stochastic E2F activation and reconciliation of phenomenological cell-cycle models.
Article in PLoS biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Cell Population Dynamics Informed by Cell-Cycle Regulation: A Deterministic Modeling Toolkit.Computational and structural biotechnology journal · 2026Review
- Impact of variability in cell cycle periodicity on cell population dynamics.PLoS computational biology · 2023Article
- Bridging the gap between mechanistic biological models and machine learning surrogates.PLoS computational biology · 2023Review
- Extracellular Fluid Flow Induces Shallow Quiescence Through Physical and Biochemical Cues.Frontiers in cell and developmental biology · 2022Article
- Effects of noise and time delay on E2F's expression level in a bistable Rb-E2F gene's regulatory network.IET systems biology · 2021Article
- Cell Cycle Commitment and the Origins of Cell Cycle Variability.Frontiers in cell and developmental biology · 2021Review
- Review
- Massive computational acceleration by using neural networks to emulate mechanism-based biological models.Nature communications · 2019Article
- Mathematical modelling of interacting mechanisms for hypoxia mediated cell cycle commitment for mesenchymal stromal cells.BMC systems biology · 2018Article
- A Precise Cdk Activity Threshold Determines Passage through the Restriction Point.Molecular cell · 2018Article
- Converse Smith-Martin cell cycle kinetics by transformed B lymphocytes.Cell cycle (Georgetown, Tex.) · 2018Article
- Controlling Depth of Cellular Quiescence by an Rb-E2F Network Switch.Cell reports · 2017Article
- Exit from quiescence displays a memory of cell growth and division.Nature communications · 2017Article
- Elimination of quiescent slow-cycling cells via reducing quiescence depth by natural compounds purified from Ganoderma lucidum.Oncotarget · 2017Article
- Stochastic multi-scale models of competition within heterogeneous cellular populations: Simulation methods and mean-field analysis.Journal of theoretical biology · 2016Article
- Getting to S: CDK functions and targets on the path to cell-cycle commitment.F1000Research · 2016Review
- Human MageB2 Protein Expression Enhances E2F Transcriptional Activity, Cell Proliferation, and Resistance to Ribotoxic Stress.The Journal of biological chemistry · 2015Article
- The effects of intrinsic noise on the behaviour of bistable cell regulatory systems under quasi-steady state conditions.The Journal of chemical physics · 2015Article
- A multi-scale approach reveals that NF-κB cRel enforces a B-cell decision to divide.Molecular systems biology · 2015Article
- Live imaging-based model selection reveals periodic regulation of the stochastic G1/S phase transition in vertebrate axial development.PLoS computational biology · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The transition of the mammalian cell from quiescence to proliferation is a highly variable process. Over the last four decades, two lines of apparently contradictory, phenomenological models have been proposed to account for such temporal variability. These include various forms of the transition probability (TP) model and the growth control (GC) model, which lack mechanistic details. The GC model was further proposed as an alternative explanation for the concept of the restriction point, which we recently demonstrated as being controlled by a bistable Rb-E2F switch. Here, through a combination of modeling and experiments, we show that these different lines of models in essence reflect different aspects of stochastic dynamics in cell cycle entry. In particular, we show that the variable activation of E2F can be described by stochastic activation of the bistable Rb-E2F switch, which in turn may account for the temporal variability in cell cycle entry. Moreover, we show that temporal dynamics of E2F activation can be recast into the frameworks of both the TP model and the GC model via parameter mapping. This mapping suggests that the two lines of phenomenological models can be reconciled through the stochastic dynamics of the Rb-E2F switch. It also suggests a potential utility of the TP or GC models in defining concise, quantitative phenotypes of cell physiology. This may have implications in classifying cell types or states.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.