Frequency domain analysis of small non-coding RNAs shows summing junction-like behaviour

Steel, Harrison, Harris, Andreas W. K., Hancock, Edward J., Kelly, Ciaran and Papachristodoulou, Antonis (2017) Frequency domain analysis of small non-coding RNAs shows summing junction-like behaviour. In: 2017 IEEE 56th Annual Conference on Decision and Control (CDC). Institute of Electrical and Electronics Engineers Inc., Piscataway, NJ, pp. 5328-5333. ISBN 9781509028740; 9781509028733; 9781509028726

Papachristodoulou+et+al,+Frequency+domain+analysis+of+small+non-coding+RNAs+shows+summing+junction-like+behaviour.pdf - Accepted Version

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Small non-coding RNAs (sRNA) are a key bacterial regulatory mechanism that has yet to be fully exploited in synthetic gene regulatory networks. In this paper a linear design methodology for gene regulatory networks presented previously is extended for application to sRNAs. Standard models of both sRNA inhibition and activation are presented, linearised and transformed into the frequency domain. We demonstrate how these mechanisms can emulate subtraction and minimum comparator functions in specific parameter regimes. Finally, the design of a genetic feedback circuit is included, illustrating that sRNAs can be used to improve the performance of a range of synthetic biological systems.

Item Type: Book Section
Additional Information: Funding Information: †: Authors with the Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK. e-mail: ({harrison.steel, andreas.harris, antonis} ‡: Author with The School of Mathematics and Statistics & The Charles Perkins Centre, University of Sydney, NSW, 2006, Australia. e-mail: ★: Author with the Centre for Synthetic Biology and Innovation, Imperial College London, London, SW7 2AZ, UK. email: H. Steel is supported by the General Sir John Monash Foundation. A. Harris is supported by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Centre in Systems Biology, University of Oxford. A. Papachristodoulou is supported in part by EPSRC project EP/M002454/1.
Uncontrolled Keywords: Proteins, Junctions, Degradation, Steady-state, RNA, Mathematical model
Subjects: C100 Biology
H300 Mechanical Engineering
Department: Faculties > Health and Life Sciences > Applied Sciences
Depositing User: Rachel Branson
Date Deposited: 20 May 2021 09:59
Last Modified: 31 Jul 2021 16:20

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