ArticleNature communications2018
The Chemical Fluctuation Theorem governing gene expression.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Gillespie-based simulation and inference for non-Markovian stochastic reaction networks.Briefings in bioinformatics · 2026Article
- Unifying non-Markovian dynamics and agent heterogeneity in scalable stochastic networks.Nature communications · 2026Article
- Multiphasic size-dependent growth dynamics of nanoparticle ensembles.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Real-Time Tracking of Vesicles in Living Cells Reveals That Tau-Hyperphosphorylation Suppresses Unidirectional Transport by Motor Proteins.Chemical & biomedical imaging · 2024Article
- Solving stochastic gene-expression models using queueing theory: A tutorial review.Biophysical journal · 2024Review
- Stochastic modeling of the mRNA life process: A generalized master equation.Biophysical journal · 2023Article
- On the thermodynamics of DNA methylation process.Scientific reports · 2023Article
- Spatially coordinated collective phosphorylation filters spatiotemporal noises for precise circadian timekeeping.iScience · 2023Article
- Systematic inference identifies a major source of heterogeneity in cell signaling dynamics: The rate-limiting step number.Science advances · 2022Article
- Chitosan Coating Enriched WithFrontiers in plant science · 2021Article
- Queuing Models of Gene Expression: Analytical Distributions and Beyond.Biophysical journal · 2020Article
- Stochastic Modeling of Autoregulatory Genetic Feedback Loops: A Review and Comparative Study.Biophysical journal · 2020Review
- Markovian approaches to modeling intracellular reaction processes with molecular memory.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Discrimination of DNA Methylation Signal from Background Variation for Clinical Diagnostics.International journal of molecular sciences · 2019Article
- Frequency spectrum of chemical fluctuation: A probe of reaction mechanism and dynamics.PLoS computational biology · 2019Article
- Transport dynamics of complex fluids.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
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Authors and funding
7 authors.
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Abstract
Gene expression is a complex stochastic process composed of numerous enzymatic reactions with rates coupled to hidden cell-state variables. Despite advances in single-cell technologies, the lack of a theory accurately describing the gene expression process has restricted a robust, quantitative understanding of gene expression variability among cells. Here we present the Chemical Fluctuation Theorem (CFT), providing an accurate relationship between the environment-coupled chemical dynamics of gene expression and gene expression variability. Combined with a general, accurate model of environment-coupled transcription processes, the CFT provides a unified explanation of mRNA variability for various experimental systems. From this analysis, we construct a quantitative model of transcription dynamics enabling analytic predictions for the dependence of mRNA noise on the mRNA lifetime distribution, confirmed against stochastic simulation. This work suggests promising new directions for quantitative investigation into cellular control over biological functions by making complex dynamics of intracellular reactions accessible to rigorous mathematical deductions.
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