ArticlePLoS biology2011
Dynamic analysis of stochastic transcription cycles.
Article in PLoS biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.
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109 citing papers in PubMed, 241 citations in OpenAlex.
- Highly Constrained Kinetic Models for Single-Cell Gene Expression Analysis.bioRxiv : the preprint server for biology · 2026Article
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- Antisense transcription can induce expression memory via stable promoter repression.Genome biology · 2025Article
- Timing is everything: transcription bursting in development.Genes & development · 2025Review
- Transient power-law behaviour following induction distinguishes between competing models of stochastic gene expression.Nature communications · 2025Article
- Single-cell RNA sequencing algorithms underestimate changes in transcriptional noise compared to single-molecule RNA imaging.Cell reports methods · 2024Article
- Quantitative comparison of single-cell RNA sequencing versus single-molecule RNA imaging for quantifying transcriptional noise.bioRxiv : the preprint server for biology · 2024Article
- What can we learn when fitting a simple telegraph model to a complex gene expression model?PLoS computational biology · 2024Article
- Power-law behavior of transcriptional bursting regulated by enhancer-promoter communication.Genome research · 2024Article
- Transcriptional bursting dynamics in gene expression.Frontiers in genetics · 2024Review
- 4D nucleome equation predicts gene expression controlled by long-range enhancer-promoter interaction.PLoS computational biology · 2023Article
- Poisson representation: a bridge between discrete and continuous models of stochastic gene regulatory networks.Journal of the Royal Society, Interface · 2023Article
- Stochastic modeling of the mRNA life process: A generalized master equation.Biophysical journal · 2023Article
- Review
- Requirements for mammalian promoters to decode transcription factor dynamics.Nucleic acids research · 2023Article
- DNA supercoiling restricts the transcriptional bursting of neighboring eukaryotic genes.Molecular cell · 2023Article
- Inferring transcriptional bursting kinetics from single-cell snapshot data using a generalized telegraph model.Royal Society open science · 2023Article
- Variability of the innate immune response is globally constrained by transcriptional bursting.Frontiers in molecular biosciences · 2023Article
- On-microscope staging of live cells reveals changes in the dynamics of transcriptional bursting during differentiation.Nature communications · 2022Article
- Eukaryotic gene regulation at equilibrium, or non?Current opinion in systems biology · 2022Article
49 more citing papers are in PubMed but not listed here.
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11 authors at 4 institutions in 1 country.
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Abstract
In individual mammalian cells the expression of some genes such as prolactin is highly variable over time and has been suggested to occur in stochastic pulses. To investigate the origins of this behavior and to understand its functional relevance, we quantitatively analyzed this variability using new mathematical tools that allowed us to reconstruct dynamic transcription rates of different reporter genes controlled by identical promoters in the same living cell. Quantitative microscopic analysis of two reporter genes, firefly luciferase and destabilized EGFP, was used to analyze the dynamics of prolactin promoter-directed gene expression in living individual clonal and primary pituitary cells over periods of up to 25 h. We quantified the time-dependence and cyclicity of the transcription pulses and estimated the length and variation of active and inactive transcription phases. We showed an average cycle period of approximately 11 h and demonstrated that while the measured time distribution of active phases agreed with commonly accepted models of transcription, the inactive phases were differently distributed and showed strong memory, with a refractory period of transcriptional inactivation close to 3 h. Cycles in transcription occurred at two distinct prolactin-promoter controlled reporter genes in the same individual clonal or primary cells. However, the timing of the cycles was independent and out-of-phase. For the first time, we have analyzed transcription dynamics from two equivalent loci in real-time in single cells. In unstimulated conditions, cells showed independent transcription dynamics at each locus. A key result from these analyses was the evidence for a minimum refractory period in the inactive-phase of transcription. The response to acute signals and the result of manipulation of histone acetylation was consistent with the hypothesis that this refractory period corresponded to a phase of chromatin remodeling which significantly increased the cyclicity. Stochastically timed bursts of transcription in an apparently random subset of cells in a tissue may thus produce an overall coordinated but heterogeneous phenotype capable of acute responses to stimuli.
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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 Socratic graph.