ArticlePhysical review. E, Statistical, nonlinear, and soft matter physics2015
Role of DNA binding sites and slow unbinding kinetics in titration-based oscillators.
Article in Physical review. E, Statistical, nonlinear, and soft matter physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- From homogeneity to heterogeneity: Refining stochastic simulations of gene regulation.Computational and structural biotechnology journal · 2025Article
- Simplifications and approximations in a single-gene circuit modeling.Scientific reports · 2024Article
- Transcription factor competition facilitates self-sustained oscillations in single gene genetic circuits.PLoS computational biology · 2023Article
- Diverse role of decoys on emergence and precision of oscillations in a biomolecular clock.Biophysical journal · 2021Article
- Stochastic Simulations as a Tool for Assessing Signal Fidelity in Gene Expression in Synthetic Promoter Design.Biology · 2021Article
- Quantifying dynamic mechanisms of auto-regulation in Escherichia coli with synthetic promoter in response to varying external phosphate levels.Scientific reports · 2019Article
- Non-monotonic auto-regulation in single gene circuits.PloS one · 2019Article
- Efficient analysis of stochastic gene dynamics in the non-adiabatic regime using piecewise deterministic Markov processes.Journal of the Royal Society, Interface · 2018Article
- Stochastic resonances in a distributed genetic broadcasting system: the NFJournal of the Royal Society, Interface · 2018Article
- Effect of transcription factor resource sharing on gene expression noise.PLoS computational biology · 2017Article
- Self-consistent theory of transcriptional control in complex regulatory architectures.PloS one · 2017Article
- Molecular stripping, targets and decoys as modulators of oscillations in the NF-κB/IκBα/DNA genetic network.Journal of the Royal Society, Interface · 2016Article
- Protein sequestration versus Hill-type repression in circadian clock models.IET systems biology · 2016Review
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2 authors at 1 institution in 1 country.
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Abstract
Genetic oscillators, such as circadian clocks, are constantly perturbed by molecular noise arising from the small number of molecules involved in gene regulation. One of the strongest sources of stochasticity is the binary noise that arises from the binding of a regulatory protein to a promoter in the chromosomal DNA. In this study, we focus on two minimal oscillators based on activator titration and repressor titration to understand the key parameters that are important for oscillations and for overcoming binary noise. We show that the rate of unbinding from the DNA, despite traditionally being considered a fast parameter, needs to be slow to broaden the space of oscillatory solutions. The addition of multiple, independent DNA binding sites further expands the oscillatory parameter space for the repressor-titration oscillator and lengthens the period of both oscillators. This effect is a combination of increased effective delay of the unbinding kinetics due to multiple binding sites and increased promoter ultrasensitivity that is specific for repression. We then use stochastic simulation to show that multiple binding sites increase the coherence of oscillations by mitigating the binary noise. Slow values of DNA unbinding rate are also effective in alleviating molecular noise due to the increased distance from the bifurcation point. Our work demonstrates how the number of DNA binding sites and slow unbinding kinetics, which are often omitted in biophysical models of gene circuits, can have a significant impact on the temporal and stochastic dynamics of genetic oscillators.
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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.