Feedback architectures to regulate flux of components in artificial gene networks

Giulia Giordano, Elisa Franco, Richard M. Murray

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)

Abstract

This paper focuses on the regulation of RNA production for in vitro synthetic gene networks. We consider the problem of matching the production rate of several RNA species concurrently transcribed to form RNA complexes. We design regulatory feedback loops based on two schemes: negative auto-regulation (which can minimize the potentially harmful amount of molecules not used to form products) and cross-activation (which can maximize the overall output flux). We analyze numerically the performance of these schemes: in both cases, transcription rate matching can be achieved through proper feedback constants; negative feedback is faster and maintains stability. A possible experimental implementation of a three and four genes negative feedback architecture is also numerically studied.

Original languageEnglish
Title of host publication2013 American Control Conference, ACC 2013
Pages4747-4752
Number of pages6
Publication statusPublished - 11 Sep 2013
Externally publishedYes
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: 17 Jun 201319 Jun 2013

Conference

Conference2013 1st American Control Conference, ACC 2013
CountryUnited States
CityWashington, DC
Period17/06/1319/06/13

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