ArticleJournal of theoretical biology2014
Derivation and experimental comparison of cell-division probability densities.
Article in Journal of theoretical biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
5 citing papers in PubMed.
- Comparison of Drug Inhibitory Effects (Bulletin of mathematical biology · 2020Article
- A drift-diffusion checkpoint model predicts a highly variable and growth-factor-sensitive portion of the cell cycle G1 phase.PloS one · 2018Article
- Fitness variation in isogenic populations leads to a novel evolutionary mechanism for crossing fitness valleys.Communications biology · 2018Article
- A Multi-stage Representation of Cell Proliferation as a Markov Process.Bulletin of mathematical biology · 2017Article
- Characterization of dependencies between growth and division in budding yeast.Journal of the Royal Society, Interface · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Experiments have shown that, even in a homogeneous population of cells, the distribution of division times is highly variable. In addition, a homogeneous population of cells will exhibit a heterogeneous response to drug therapy. We present a simple stochastic model of the cell cycle as a multistep stochastic process. The model, which is based on our conception of the cell cycle checkpoint, is used to derive an analytical expression for the distribution of cell cycle times. We demonstrate that this distribution provides an accurate representation of cell cycle time variability and show how the model relates drug-induced changes in basic biological parameters to variability in response to drug treatment.
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Registered trials
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