ArticleBiophysical journal2014
Noise and information transmission in promoters with multiple internal States.
Article in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Invariant nonequilibrium dynamics in gene regulation optimize information flow.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Limits on the computational expressivity of non-equilibrium biophysical processes.Nature communications · 2025Article
- Transcriptional bursting: from fundamentals to novel insights.Biochemical Society transactions · 2024Review
- Trends in Single-Molecule Total Internal Reflection Fluorescence Imaging and Their Biological Applications with Lab-on-a-Chip Technology.Sensors (Basel, Switzerland) · 2023Review
- Quantifying stimulus-response specificity to probe the functional state of macrophages.Cell systems · 2023Article
- Eukaryotic gene regulation at equilibrium, or non?Current opinion in systems biology · 2022Article
- Quantifying information of intracellular signaling: progress with machine learning.Reports on progress in physics. Physical Society (Great Britain) · 2022Review
- Nonequilibrium models of optimal enhancer function.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Signaling pathways have an inherent need for noise to acquire information.BMC bioinformatics · 2020Article
- Information transmission from NFkB signaling dynamics to gene expression.PLoS computational biology · 2020Article
- First-principles prediction of the information processing capacity of a simple genetic circuit.Physical review. E · 2020Article
- Short Residence Times of DNA-Bound Transcription Factors Can Reduce Gene Expression Noise and Increase the Transmission of Information in a Gene Regulation System.Frontiers in molecular biosciences · 2020Article
- Understanding biochemical processes in the presence of sub-diffusive behavior of biomolecules in solution and living cells.Biophysical reviews · 2019Review
- Estimating information in time-varying signals.PLoS computational biology · 2019Article
- Diverse Spatial Expression Patterns Emerge from Unified Kinetics of Transcriptional Bursting.Cell · 2018Article
- Single-cell systems biology: probing the basic unit of information flow.Current opinion in systems biology · 2018Article
- Robustness, Accuracy, and Cell State Heterogeneity in Biological Systems.Current opinion in systems biology · 2018Article
- Customized Regulation of Diverse Stress Response Genes by the Multiple Antibiotic Resistance Activator MarA.PLoS computational biology · 2017Article
- Intrinsic limits to gene regulation by global crosstalk.Nature communications · 2016Article
- Information processing in bacteria: memory, computation, and statistical physics: a key issues review.Reports on progress in physics. Physical Society (Great Britain) · 2016Review
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2 authors.
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Abstract
Based on the measurements of noise in gene expression performed during the past decade, it has become customary to think of gene regulation in terms of a two-state model, where the promoter of a gene can stochastically switch between an ON and an OFF state. As experiments are becoming increasingly precise and the deviations from the two-state model start to be observable, we ask about the experimental signatures of complex multistate promoters, as well as the functional consequences of this additional complexity. In detail, we i), extend the calculations for noise in gene expression to promoters described by state transition diagrams with multiple states, ii), systematically compute the experimentally accessible noise characteristics for these complex promoters, and iii), use information theory to evaluate the channel capacities of complex promoter architectures and compare them with the baseline provided by the two-state model. We find that adding internal states to the promoter generically decreases channel capacity, except in certain cases, three of which (cooperativity, dual-role regulation, promoter cycling) we analyze in detail.
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