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Molecular Filters for Noise Reduction

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Molecular Filters for Noise Reduction. / Laurenti, Luca; Csikasz-Nagy, Attila; Kwiatkowska, Marta; Cardelli, Luca.

In: Biophysical Journal, Vol. 114, No. 12, 19.06.2018, p. 3000-3011.

Research output: Contribution to journalArticle

Harvard

Laurenti, L, Csikasz-Nagy, A, Kwiatkowska, M & Cardelli, L 2018, 'Molecular Filters for Noise Reduction', Biophysical Journal, vol. 114, no. 12, pp. 3000-3011. https://doi.org/10.1016/j.bpj.2018.05.009

APA

Laurenti, L., Csikasz-Nagy, A., Kwiatkowska, M., & Cardelli, L. (2018). Molecular Filters for Noise Reduction. Biophysical Journal, 114(12), 3000-3011. https://doi.org/10.1016/j.bpj.2018.05.009

Vancouver

Laurenti L, Csikasz-Nagy A, Kwiatkowska M, Cardelli L. Molecular Filters for Noise Reduction. Biophysical Journal. 2018 Jun 19;114(12):3000-3011. https://doi.org/10.1016/j.bpj.2018.05.009

Author

Laurenti, Luca ; Csikasz-Nagy, Attila ; Kwiatkowska, Marta ; Cardelli, Luca. / Molecular Filters for Noise Reduction. In: Biophysical Journal. 2018 ; Vol. 114, No. 12. pp. 3000-3011.

Bibtex Download

@article{1154bff192a34334ac57f1a897f617cc,
title = "Molecular Filters for Noise Reduction",
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.",
author = "Luca Laurenti and Attila Csikasz-Nagy and Marta Kwiatkowska and Luca Cardelli",
year = "2018",
month = "6",
day = "19",
doi = "10.1016/j.bpj.2018.05.009",
language = "English",
volume = "114",
pages = "3000--3011",
journal = "Biophysical Journal",
issn = "0006-3495",
publisher = "Elsevier BV",
number = "12",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Molecular Filters for Noise Reduction

AU - Laurenti, Luca

AU - Csikasz-Nagy, Attila

AU - Kwiatkowska, Marta

AU - Cardelli, Luca

PY - 2018/6/19

Y1 - 2018/6/19

N2 - 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.

AB - 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.

U2 - 10.1016/j.bpj.2018.05.009

DO - 10.1016/j.bpj.2018.05.009

M3 - Article

VL - 114

SP - 3000

EP - 3011

JO - Biophysical Journal

JF - Biophysical Journal

SN - 0006-3495

IS - 12

ER -

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