ArticlePloS one2014
A data-driven, mathematical model of mammalian cell cycle regulation.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 39 citations in OpenAlex.
- Dynamic modelling of cell cycle arrest through integrated single-cell and mathematical modelling approaches.PLoS computational biology · 2025Article
- Interdependency of estradiol-mediated ERα activation and subsequent PR and GREB1 induction to control cell cycle progression.Heliyon · 2024Article
- Cell Cycle Complexity: Exploring the Structure of Persistent Subsystems in 414 Models.Biomedicines · 2024Article
- A comprehensive review of computational cell cycle models in guiding cancer treatment strategies.NPJ systems biology and applications · 2024Review
- Reusable rule-based cell cycle model explains compartment-resolved dynamics of 16 observables in RPE-1 cells.PLoS computational biology · 2024Article
- Development and CT image-domain validation of a computational lung lesion model for use in virtual imaging trials.Medical physics · 2023Article
- Understanding the mechanisms of HPV-related carcinogenesis: Implications for cell cycle dynamics.Journal of theoretical biology · 2022Article
- Mathematical Modeling of Cortical Neurogenesis Reveals that the Founder Population does not Necessarily Scale with Neurogenic Output.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- Deoxyribonucleic Acid Damage and Repair: Capitalizing on Our Understanding of the Mechanisms of Maintaining Genomic Integrity for Therapeutic Purposes.International journal of molecular sciences · 2018Review
- Cell cycle proliferation decisions: the impact of single cell analyses.The FEBS journal · 2017Review
- A mathematical model of subpopulation kinetics for the deconvolution of leukaemia heterogeneity.Journal of the Royal Society, Interface · 2015Article
- Review
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Few of >150 published cell cycle modeling efforts use significant levels of data for tuning and validation. This reflects the difficultly to generate correlated quantitative data, and it points out a critical uncertainty in modeling efforts. To develop a data-driven model of cell cycle regulation, we used contiguous, dynamic measurements over two time scales (minutes and hours) calculated from static multiparametric cytometry data. The approach provided expression profiles of cyclin A2, cyclin B1, and phospho-S10-histone H3. The model was built by integrating and modifying two previously published models such that the model outputs for cyclins A and B fit cyclin expression measurements and the activation of B cyclin/Cdk1 coincided with phosphorylation of histone H3. The model depends on Cdh1-regulated cyclin degradation during G1, regulation of B cyclin/Cdk1 activity by cyclin A/Cdk via Wee1, and transcriptional control of the mitotic cyclins that reflects some of the current literature. We introduced autocatalytic transcription of E2F, E2F regulated transcription of cyclin B, Cdc20/Cdh1 mediated E2F degradation, enhanced transcription of mitotic cyclins during late S/early G2 phase, and the sustained synthesis of cyclin B during mitosis. These features produced a model with good correlation between state variable output and real measurements. Since the method of data generation is extensible, this model can be continually modified based on new correlated, quantitative data.
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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.