ArticleJournal of the Royal Society, Interface2023
Poisson representation: a bridge between discrete and continuous models of stochastic gene regulatory networks.
Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Efficient approximations of transcriptional bursting effects on the dynamics of a gene regulatory network.Journal of the Royal Society, Interface · 2025Article
- Incorporating spatial diffusion into models of bursty stochastic transcription.Journal of the Royal Society, Interface · 2025Article
- Holimap: an accurate and efficient method for solving stochastic gene network dynamics.Nature communications · 2024Article
- Solving stochastic gene-expression models using queueing theory: A tutorial review.Biophysical journal · 2024Review
- Transcriptional bursting dynamics in gene expression.Frontiers in genetics · 2024Review
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3 authors.
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Abstract
Stochastic gene expression dynamics can be modelled either discretely or continuously. Previous studies have shown that the mRNA or protein number distributions of some simple discrete and continuous gene expression models are related by Gardiner's Poisson representation. Here, we systematically investigate the Poisson representation in complex stochastic gene regulatory networks. We show that when the gene of interest is unregulated, the discrete and continuous descriptions of stochastic gene expression are always related by the Poisson representation, no matter how complex the model is. This generalizes the results obtained in Dattani & Barahona (Dattani & Barahona 2017
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