Design of genetic circuits that are robust to resource competition

The ability to engineer genetic circuits in living cells has tremendous potential in many applications, from health, to energy, to bio-manufacturing. Although substantial efforts have gone into design approaches that make circuits robust to variable cellular context, context dependence of genetic ci...

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Bibliographic Details
Main Authors: McBride, Cameron David (Author), Grunberg, Theodore Wu (Author), Del Vecchio, Domitilla (Author)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Elsevier BV, 2022-01-13T14:26:47Z.
Subjects:
Online Access:Get fulltext
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100 1 0 |a McBride, Cameron David  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
700 1 0 |a Grunberg, Theodore Wu  |e author 
700 1 0 |a Del Vecchio, Domitilla  |e author 
245 0 0 |a Design of genetic circuits that are robust to resource competition 
260 |b Elsevier BV,   |c 2022-01-13T14:26:47Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/138566.2 
520 |a The ability to engineer genetic circuits in living cells has tremendous potential in many applications, from health, to energy, to bio-manufacturing. Although substantial efforts have gone into design approaches that make circuits robust to variable cellular context, context dependence of genetic circuits remains a significant hurdle. We review intra-cellular resource competition, one culprit of context dependence, and summarize recent efforts toward design approaches to mitigate it. We classify these approaches into two main groups: global control and local control. In the former, the pool of resources is regulated to meet the demand, and in the latter, individual modules are regulated to be robust to variability in the pool of resources. Within each group, we highlight both feedback and feedforward implementations. 
520 |a National Science Foundation (Award 1521925) 
546 |a en 
655 7 |a Article 
773 |t 10.1016/J.COISB.2021.100357 
773 |t Current Opinion in Systems Biology