ArticleMolecular systems biology2019
Evidence that the human cell cycle is a series of uncoupled, memoryless phases.
Article in Molecular systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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Who cites it
63 citing papers in PubMed.
- Functional Parameters of Hybridoma Cells: Methods of Evaluation and Biotechnological Relevance.Antibodies (Basel, Switzerland) · 2026Review
- Simulation-based inference captures non-Markovian effects as exemplified in protein production kinetics through cell division.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The Interplay Between Circadian Clocks and the Tumour Microenvironment in Breast Cancer.Cancers · 2026Review
- Physical Frameworks and Theories on How Autonomous Biological Oscillators Synchronize.Advances in experimental medicine and biology · 2026Review
- Cell Population Dynamics Informed by Cell-Cycle Regulation: A Deterministic Modeling Toolkit.Computational and structural biotechnology journal · 2026Review
- The dynamic role of TRIM8, a novel ciliary protein, during various stages of mitosis.Cell death & disease · 2025Article
- Subtle alteration in transcriptional memory governs the lineage-level cell cycle duration heterogeneities of mammalian cells.iScience · 2025Article
- Article
- Combining lineage correlations and a small molecule inhibitor to detect circadian control of the cell cycle.iScience · 2025Article
- Spherical Manifolds Capture Drug-Induced Changes in Tumor Cell Cycle Behavior.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2025Article
- A new insight into the impact of copy number variations on cell cycle deregulation of luminal-type breast cancer.Oncology reviews · 2025Review
- Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach.eLife · 2024Article
- Storm: Incorporating transient stochastic dynamics to infer the RNA velocity with metabolic labeling information.PLoS computational biology · 2024Article
- Cell identity revealed by precise cell cycle state mapping links data modalities.bioRxiv : the preprint server for biology · 2024Article
- A comprehensive review of computational cell cycle models in guiding cancer treatment strategies.NPJ systems biology and applications · 2024Review
- An electroporation cytometry system for long-term, live cell cycle analysis.Biomicrofluidics · 2024Article
- Ipsilateral restriction of chromosome movement along a centrosome, and apical-basal axis during the cell cycle.Research square · 2024Article
- Cell cycle plasticity underlies fractional resistance to palbociclib in ER+/HER2- breast tumor cells.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Spherical Rotation Dimension Reduction with Geometric Loss Functions.Journal of machine learning research : JMLR · 2024Article
- Mathematical Modeling Identifies Optimum Palbociclib-fulvestrant Dose Administration Schedules for the Treatment of Patients with Estrogen Receptor-positive Breast Cancer.Cancer research communications · 2023Article
3 more citing papers are in PubMed but not listed here.
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11 authors.
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Abstract
The cell cycle is canonically described as a series of four consecutive phases: G1, S, G2, and M. In single cells, the duration of each phase varies, but the quantitative laws that govern phase durations are not well understood. Using time-lapse microscopy, we found that each phase duration follows an Erlang distribution and is statistically independent from other phases. We challenged this observation by perturbing phase durations through oncogene activation, inhibition of DNA synthesis, reduced temperature, and DNA damage. Despite large changes in durations in cell populations, phase durations remained uncoupled in individual cells. These results suggested that the independence of phase durations may arise from a large number of molecular factors that each exerts a minor influence on the rate of cell cycle progression. We tested this model by experimentally forcing phase coupling through inhibition of cyclin-dependent kinase 2 (CDK2) or overexpression of cyclin D. Our work provides an explanation for the historical observation that phase durations are both inherited and independent and suggests how cell cycle progression may be altered in disease states.
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