ArticleNucleic acids research2012
Dynamics of transcription driven by the tetA promoter, one event at a time, in live Escherichia coli cells.
Article in Nucleic acids research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Transient power-law behaviour following induction distinguishes between competing models of stochastic gene expression.Nature communications · 2025Article
- Dynamic control of the plasmid copy number maintained without antibiotics in Escherichia coli.Journal of biological engineering · 2024Article
- Transcription Attenuation in Synthetic Promoters in Nonoverlapping Tandem Formation.Biochemistry · 2024Article
- Analysis of a detailed multi-stage model of stochastic gene expression using queueing theory and model reduction.Mathematical biosciences · 2024Article
- Solving stochastic gene-expression models using queueing theory: A tutorial review.Biophysical journal · 2024Review
- Dynamical model of antibiotic responses linking expression of resistance genes to metabolism explains emergence of heterogeneity during drug exposures.Physical biology · 2024Article
- The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian.Science advances · 2023Article
- The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian.bioRxiv : the preprint server for biology · 2023Article
- Regulatory Mechanisms for Transcriptional Bursting Revealed by an Event-Based Model.Research (Washington, D.C.) · 2023Article
- Inference and uncertainty quantification of stochastic gene expression via synthetic models.Journal of the Royal Society, Interface · 2022Article
- Nutrient Gradients Mediate Complex Colony-Level Antibiotic Responses in Structured Microbial Populations.Frontiers in microbiology · 2022Article
- Transcription closed and open complex formation coordinate expression of genes with a shared promoter region.Journal of the Royal Society, Interface · 2019Article
- Multiscale effects of heating and cooling on genes and gene networks.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Distribution of Initiation Times Reveals Mechanisms of Transcriptional Regulation in Single Cells.Biophysical journal · 2018Article
- Article
- Application of an E. coli signal sequence as a versatile inclusion body tag.Microbial cell factories · 2017Article
- Illuminating Messengers: An Update and Outlook on RNA Visualization in Bacteria.Frontiers in microbiology · 2017Review
- Precision of Readout at the hunchback Gene: Analyzing Short Transcription Time Traces in Living Fly Embryos.PLoS computational biology · 2016Article
- Temperature-Dependent Model of Multi-step Transcription Initiation in Escherichia coli Based on Live Single-Cell Measurements.PLoS computational biology · 2016Article
- Dissecting the stochastic transcription initiation process in live Escherichia coli.DNA research : an international journal for rapid publication of reports on genes and genomes · 2016Article
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7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In Escherichia coli, tetracycline prevents translation. When subject to tetracycline, E. coli express TetA to pump it out by a mechanism that is sensitive, while fairly independent of cellular metabolism. We constructed a target gene, PtetA-mRFP1-96BS, with a 96 MS2-GFP binding site array in a single-copy BAC vector, whose expression is controlled by the tetA promoter. We measured the in vivo kinetics of production of individual RNA molecules of the target gene as a function of inducer concentration and temperature. From the distributions of intervals between transcription events, we find that RNA production by PtetA is a sub-Poissonian process. Next, we infer the number and duration of the prominent sequential steps in transcription initiation by maximum likelihood estimation. Under full induction and at optimal temperature, we observe three major steps. We find that the kinetics of RNA production under the control of PtetA, including number and duration of the steps, varies with induction strength and temperature. The results are supported by a set of logical pairwise Kolmogorov-Smirnov tests. We conclude that the expression of TetA is controlled by a sequential mechanism that is robust, whereas sensitive to external signals.
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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 OpenQuestion graph.