ArticleBiophysical journal2018
Molecular Filters for Noise Reduction.
Article in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Noise properties of adaptation-conferring biochemical control modules.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Regulation strategies for two-output biomolecular networks.Journal of the Royal Society, Interface · 2023Article
- Negative feedback may suppress variation to improve collective foraging performance.PLoS computational biology · 2022Article
- Stabilization of antithetic control via molecular buffering.Journal of the Royal Society, Interface · 2022Article
- Biomolecular mechanisms for signal differentiation.iScience · 2021Article
- Systematic analysis of noise reduction properties of coupled and isolated feed-forward loops.PLoS computational biology · 2021Article
- Quasi-robust control of biochemical reaction networks via stochastic morphing.Journal of the Royal Society, Interface · 2021Article
- microRNA-mediated noise processing in cells: A fight or a game?Computational and structural biotechnology journal · 2020Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Living systems are inherently stochastic and operate in a noisy environment, yet despite all these uncertainties, they perform their functions in a surprisingly reliable way. The biochemical mechanisms used by natural systems to tolerate and control noise are still not fully understood, and this issue also limits our capacity to engineer reliable, quantitative synthetic biological circuits. We study how representative models of biochemical systems propagate and attenuate noise, accounting for intrinsic as well as extrinsic noise. We investigate three molecular noise-filtering mechanisms, study their noise-reduction capabilities and limitations, and show that nonlinear dynamics such as complex formation are necessary for efficient noise reduction. We further suggest that the derived molecular filters are widespread in gene expression and regulation and, particularly, that microRNAs can serve as such noise filters. To our knowledge, our results provide new insight into how biochemical networks control noise and could be useful to build robust synthetic circuits.
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Registered trials
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