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

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 sR...

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Main Authors: Steel, H, Harris, A, Hancock, E, Kelly, C, Papachristodoulou, A
Format: Conference item
Published: Institute for Electrical and Electronics Engineers 2018
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author Steel, H
Harris, A
Hancock, E
Kelly, C
Papachristodoulou, A
author_facet Steel, H
Harris, A
Hancock, E
Kelly, C
Papachristodoulou, A
author_sort Steel, H
collection OXFORD
description 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.
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spelling oxford-uuid:78bf0e95-ae8d-4ccd-af38-bc4b309e7ca72022-03-26T20:32:46ZFrequency domain analysis of small non-coding RNAs shows summing junction-like behaviourConference itemhttp://purl.org/coar/resource_type/c_5794uuid:78bf0e95-ae8d-4ccd-af38-bc4b309e7ca7Symplectic Elements at OxfordInstitute for Electrical and Electronics Engineers2018Steel, HHarris, AHancock, EKelly, CPapachristodoulou, ASmall 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.
spellingShingle Steel, H
Harris, A
Hancock, E
Kelly, C
Papachristodoulou, A
Frequency domain analysis of small non-coding RNAs shows summing junction-like behaviour
title Frequency domain analysis of small non-coding RNAs shows summing junction-like behaviour
title_full Frequency domain analysis of small non-coding RNAs shows summing junction-like behaviour
title_fullStr Frequency domain analysis of small non-coding RNAs shows summing junction-like behaviour
title_full_unstemmed Frequency domain analysis of small non-coding RNAs shows summing junction-like behaviour
title_short Frequency domain analysis of small non-coding RNAs shows summing junction-like behaviour
title_sort frequency domain analysis of small non coding rnas shows summing junction like behaviour
work_keys_str_mv AT steelh frequencydomainanalysisofsmallnoncodingrnasshowssummingjunctionlikebehaviour
AT harrisa frequencydomainanalysisofsmallnoncodingrnasshowssummingjunctionlikebehaviour
AT hancocke frequencydomainanalysisofsmallnoncodingrnasshowssummingjunctionlikebehaviour
AT kellyc frequencydomainanalysisofsmallnoncodingrnasshowssummingjunctionlikebehaviour
AT papachristodouloua frequencydomainanalysisofsmallnoncodingrnasshowssummingjunctionlikebehaviour