ArticleScientific reports2014
The linear interplay of intrinsic and extrinsic noises ensures a high accuracy of cell fate selection in budding yeast.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
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- Mathematical modeling and quantitative analysis of HIV-1 Gag trafficking and polymerization.PLoS computational biology · 2017Article
- Several Indicators of Critical Transitions for Complex Diseases Based on Stochastic Analysis.Computational and mathematical methods in medicine · 2017Article
- Transitions in a genetic transcriptional regulatory system under Lévy motion.Scientific reports · 2016Article
- Gene switching rate determines response to extrinsic perturbations in the self-activation transcriptional network motif.Scientific reports · 2016Article
- Crosstalk between pathways enhances the controllability of signalling networks.IET systems biology · 2016Article
- Noise Decomposition Principle in a Coherent Feed-Forward Transcriptional Regulatory Loop.Frontiers in physiology · 2016Article
- Deciphering deterioration mechanisms of complex diseases based on the construction of dynamic networks and systems analysis.Scientific reports · 2015Article
- Optimal control strategy for abnormal innate immune response.Computational and mathematical methods in medicine · 2015Article
- A new asynchronous parallel algorithm for inferring large-scale gene regulatory networks.PloS one · 2015Article
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3 authors.
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Abstract
To gain insights into the mechanisms of cell fate decision in a noisy environment, the effects of intrinsic and extrinsic noises on cell fate are explored at the single cell level. Specifically, we theoretically define the impulse of Cln1/2 as an indication of cell fates. The strong dependence between the impulse of Cln1/2 and cell fates is exhibited. Based on the simulation results, we illustrate that increasing intrinsic fluctuations causes the parallel shift of the separation ratio of Whi5P but that increasing extrinsic fluctuations leads to the mixture of different cell fates. Our quantitative study also suggests that the strengths of intrinsic and extrinsic noises around an approximate linear model can ensure a high accuracy of cell fate selection. Furthermore, this study demonstrates that the selection of cell fates is an entropy-decreasing process. In addition, we reveal that cell fates are significantly correlated with the range of entropy decreases.
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