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Noise Control In Gene Regulatory Networks With Negative Feedback
Open accessPreprint — published as 10.1021/acs.jpcb.6b02093 · Paper page
Abstract
Genes and proteins regulate cellular functions through complex circuits of biochemical reactions. Fluctuations in the components of these regulatory networks result in noise that invariably corrupts the signal, possibly compromising function. Here, we create a practical formalism based on ideas introduced by Wiener and Kolmogorov (WK) for filtering noise in engineered communications systems to quantitatively assess the extent to which noise can be controlled in biological processes involving negative feedback. Application of the theory, which reproduces the previously proven scaling of the lower bound for noise suppression in terms of the number of signaling events, shows that a tetracycline repressor-based negative-regulatory gene circuit behaves as a WK filter. For the class of Hill-like nonlinear regulatory functions, this type of filter provides the optimal reduction in noise. Our theoretical approach can be readily combined with experimental measurements of response functions in a wide variety of genetic circuits, to elucidate the general principles by which biological networks minimize noise.
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Metadata
- Authors
- Hinczewski, M., & Thirumalai, D.
- Affiliations
- Case Western Reserve University (US)
- The University of Texas at Austin (US)
- Corresponding author
- Hinczewski, Michael
- Thirumalai, D.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- openRxiv
- Published
- 2016-04-20
- Volume
- 120
- Issue
- 26
- Pages
- 6166-6177
- ISSN
- 1520-5207 (ISSN-L)
- OpenAlex
- W2963419991
- Cited by
- 15
- References
- 1
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2021: 3 · 2020: 4 · 2019: 1 · 2018: 2 · 2017: 1 · 2016: 1
- FWCI
- 0.87
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- The Journal of Physical Chemistry B (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- National Science Foundation (1361946)
- University of Maryland
- Division of Chemistry (CHE 13-61946, 13-61946)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Advanced Thermodynamics and Statistical Mechanics
- Keywords
- negative feedback, noise reduction, TetR, synthetic gene circuits, response functions, stochastic gene expression
- MeSH terms
- Computer Simulation, Fungal Proteins, Models, Genetic, Yeasts, Linear Models, Nonlinear Dynamics, Feedback, Physiological, Gene Regulatory Networks
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