ArticleBiophysical journal2010
Counter-intuitive stochastic behavior of simple gene circuits with negative feedback.
Article in Biophysical journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 41 citations in OpenAlex.
- A model-based design strategy to engineer miRNA-regulated detection systems.Frontiers in systems biology · 2025Article
- Effects of microRNA-mediated negative feedback on gene expression noise.Biophysical journal · 2023Article
- Stochastic Modeling of Autoregulatory Genetic Feedback Loops: A Review and Comparative Study.Biophysical journal · 2020Review
- Deciphering noise amplification and reduction in open chemical reaction networks.Journal of the Royal Society, Interface · 2018Article
- The dynamic mechanism of noisy signal decoding in gene regulation.Scientific reports · 2017Article
- A moment-convergence method for stochastic analysis of biochemical reaction networks.The Journal of chemical physics · 2016Article
- Effects of promoter leakage on dynamics of gene expression.BMC systems biology · 2015Article
- Delays induce novel stochastic effects in negative feedback gene circuits.Biophysical journal · 2014Article
- Article
- Synthetic mammalian transgene negative autoregulation.Molecular systems biology · 2013Article
- Modeling and simulation of biological systems from image data.BioEssays : news and reviews in molecular, cellular and developmental biology · 2013Article
- Type of noise defines global attractors in bistable molecular regulatory systems.Journal of theoretical biology · 2013Article
- Stochastic modelling of biochemical systems of multi-step reactions using a simplified two-variable model.BMC systems biology · 2013Article
- The magnitude and colour of noise in genetic negative feedback systems.Nucleic acids research · 2012Article
- A higher-order numerical framework for stochastic simulation of chemical reaction systems.BMC systems biology · 2012Article
- Stochastic steady state gain in a gene expression process with mRNA degradation control.Journal of the Royal Society, Interface · 2012Article
- Quantifying negative feedback regulation by micro-RNAs.Physical biology · 2011Article
- Systems biology: new institute and applications.The Yale journal of biology and medicine · 2011Article
- Stochastic adaptation and fold-change detection: from single-cell to population behavior.BMC systems biology · 2011Article
- Systems biology: The cost of feedback control.Nature · 2010Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has often been taken for granted that negative feedback loops in gene regulation work as homeostatic control mechanisms. If one increases the regulation strength a less noisy signal is to be expected. However, recent theoretical studies have reported the exact contrary, counter-intuitive observation, which has left a question mark over the relationship between negative feedback loops and noise. We explore and systematically analyze several minimal models of gene regulation, where a transcriptional repressor negatively regulates its own expression. For models including a quasi-steady-state assumption, we identify processes that buffer noise change (RNA polymerase binding) or accentuate it (repressor dimerization) alongside increasing feedback strength. Moreover, we show that lumping together transcription and translation in simplified models clearly underestimates the impact of negative feedback strength on the system's noise. In contrast, in systems without a quasi-steady-state assumption, noise always increases with negative feedback strength. Hence, subtle mathematical properties and model assumptions yield different types of noise profiles and, by consequence, previous studies have simultaneously reported decrease, increase or persistence of noise levels with increasing feedback. We discuss our findings in terms of separation of timescales and time correlations between molecular species distributions, extending current theoretical findings on the topic and allowing us to propose what we believe new ways to better characterize noise.
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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.