ArticleProceedings of the National Academy of Sciences of the United States of America2009
Exploring the roles of noise in the eukaryotic cell cycle.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.
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56 citing papers in PubMed, 159 citations in OpenAlex.
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- A continuous-time stochastic Boolean model provides a quantitative description of the budding yeast cell cycle.Scientific reports · 2022Article
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- A hybrid stochastic model of the budding yeast cell cycle.NPJ systems biology and applications · 2020Article
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- Deciphering the Dynamical Origin of Mixed Population during Neural Stem Cell Development.Biophysical journal · 2018Article
- Role of noise and parametric variation in the dynamics of gene regulatory circuits.NPJ systems biology and applications · 2018Article
- Modeling-Based Investigation of the Effect of Noise in Cellular Systems.Frontiers in molecular biosciences · 2018Review
- A drift-diffusion checkpoint model predicts a highly variable and growth-factor-sensitive portion of the cell cycle G1 phase.PloS one · 2018Article
- Maximum Entropy Prediction of Non-Equilibrium Stationary Distributions for Stochastic Reaction Networks with Oscillatory Dynamics.Chemical engineering science · 2017Article
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
The DNA replication-division cycle of eukaryotic cells is controlled by a complex network of regulatory proteins, called cyclin-dependent kinases, and their activators and inhibitors. Although comprehensive and accurate deterministic models of the control system are available for yeast cells, reliable stochastic simulations have not been carried out because the full reaction network has yet to be expressed in terms of elementary reaction steps. As a first step in this direction, we present a simplified version of the control system that is suitable for exact stochastic simulation of intrinsic noise caused by molecular fluctuations and extrinsic noise because of unequal division. The model is consistent with many characteristic features of noisy cell cycle progression in yeast populations, including the observation that mRNAs are present in very low abundance (approximately 1 mRNA molecule per cell for each expressed gene). For the control system to operate reliably at such low mRNA levels, some specific mRNAs in our model must have very short half-lives (<1 min). If these mRNA molecules are longer-lived (perhaps 2 min), then the intrinsic noise in our simulations is too large, and there must be some additional noise suppression mechanisms at work in cells.
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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.