Mitigation of resource competition in synthetic genetic circuits through feedback regulation

A recurring challenge in the design of genetic circuits is context dependence, the fact that the behavior of a functional module is influenced by the state of the wider cellular milieu with which it interacts. One key player in context dependence is the scarcity of shared cellular resources, especia...

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Bibliographic Details
Main Authors: Hamadeh, Abdullah (Contributor), Del Vecchio, Domitilla (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2018-11-16T23:17:23Z.
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Online Access:Get fulltext
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100 1 0 |a Hamadeh, Abdullah  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
100 1 0 |a Hamadeh, Abdullah  |e contributor 
100 1 0 |a Del Vecchio, Domitilla  |e contributor 
700 1 0 |a Del Vecchio, Domitilla  |e author 
245 0 0 |a Mitigation of resource competition in synthetic genetic circuits through feedback regulation 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2018-11-16T23:17:23Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/119171 
520 |a A recurring challenge in the design of genetic circuits is context dependence, the fact that the behavior of a functional module is influenced by the state of the wider cellular milieu with which it interacts. One key player in context dependence is the scarcity of shared cellular resources, especially those required for transcription and translation during gene expression. Because of competition for these limited resources, the behavior of modules becomes coupled in subtle ways, preventing circuits from working as expected. This paper proposes a classical feedback control approach to mitigate the steady state effects of the competition for resources necessary for gene expression. In particular, we analyze and compare the ability of several inhibitory feedback regulation architectures to reduce the interdependence between different gene expression processes due to resource limitations. 
520 |a United States. Office of Naval Research (Award # N000141310074) 
655 7 |a Article 
773 |t 2014 IEEE 53rd Conference on Decision and Control (CDC)