ArticlePLoS computational biology2018
On the role of extrinsic noise in microRNA-mediated bimodal gene expression.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Noise-induced bimodality in self-regulated gene networks with nonlinear promoter transitions and fast dimerization.Journal of mathematical biology · 2026Article
- The advantage of periodic over constant signalling in microRNA-mediated regulation.Nucleic acids research · 2025Article
- Out-of-Equilibrium ceRNA Crosstalk.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Bioenergetic costs and the evolution of noise regulation by microRNAs.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Effects of microRNA-mediated negative feedback on gene expression noise.Biophysical journal · 2023Article
- Single-cell Transcriptomes Reveal Characteristics of MicroRNAs in Gene Expression Noise Reduction.Genomics, proteomics & bioinformatics · 2021Article
- An integrated approach to identify bimodal genes associated with prognosis in câncer.Genetics and molecular biology · 2021Article
- One-to-one relationships between milk miRNA content and protein abundance in neonate duodenum support the potential for milk miRNAs regulating neonate development.Functional & integrative genomics · 2020Article
- MicroRNAs organize intrinsic variation into stem cell states.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- microRNA-mediated noise processing in cells: A fight or a game?Computational and structural biotechnology journal · 2020Review
- Review
- Intrinsic and extrinsic noise of gene expression in lineage trees.Scientific reports · 2019Article
- Stochastic sequestration dynamics: a minimal model with extrinsic noise for bimodal distributions and competitors correlation.Scientific reports · 2018Article
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Authors and funding
4 authors.
Funding
Abstract
Several studies highlighted the relevance of extrinsic noise in shaping cell decision making and differentiation in molecular networks. Bimodal distributions of gene expression levels provide experimental evidence of phenotypic differentiation, where the modes of the distribution often correspond to different physiological states of the system. We theoretically address the presence of bimodal phenotypes in the context of microRNA (miRNA)-mediated regulation. MiRNAs are small noncoding RNA molecules that downregulate the expression of their target mRNAs. The nature of this interaction is titrative and induces a threshold effect: below a given target transcription rate almost no mRNAs are free and available for translation. We investigate the effect of extrinsic noise on the system by introducing a fluctuating miRNA-transcription rate. We find that the presence of extrinsic noise favours the presence of bimodal target distributions which can be observed for a wider range of parameters compared to the case with intrinsic noise only and for lower miRNA-target interaction strength. Our results suggest that combining threshold-inducing interactions with extrinsic noise provides a simple and robust mechanism for obtaining bimodal populations without requiring fine tuning. Furthermore, we characterise the protein distribution's dependence on protein half-life.
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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.