Limitations and trade-offs in gene expression due to competition for shared cellular resources

Gene circuits share transcriptional and translational resources in the cell. The fact that these common resources are available only in limited amounts leads to unexpected couplings in protein expressions. As a result, our predictive ability of describing the behavior of gene circuits is limited. In...

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Bibliographic Details
Main Authors: Gyorgy, Andras (Contributor), Del Vecchio, Domitilla (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2015-06-15T16:07:19Z.
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Online Access:Get fulltext
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100 1 0 |a Gyorgy, Andras  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
100 1 0 |a Gyorgy, Andras  |e contributor 
100 1 0 |a Del Vecchio, Domitilla  |e contributor 
700 1 0 |a Del Vecchio, Domitilla  |e author 
245 0 0 |a Limitations and trade-offs in gene expression due to competition for shared cellular resources 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2015-06-15T16:07:19Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/97416 
520 |a Gene circuits share transcriptional and translational resources in the cell. The fact that these common resources are available only in limited amounts leads to unexpected couplings in protein expressions. As a result, our predictive ability of describing the behavior of gene circuits is limited. In this paper, we consider the simultaneous expression of proteins and describe the coupling among protein concentrations due to competition for RNA polymerase and ribosomes. In particular, we identify the limitations and trade-offs in gene expression by characterizing the attainable combinations of protein concentrations. We further present two application examples of our results: we show that even in the absence of regulatory linkages, genes can seemingly behave as repressors, and surprisingly, as activators to each other, purely due to the limited availability of shared cellular resources. 
520 |a United States. Air Force Office of Scientific Research (Grant FA9550-12-1-0129) 
520 |a National Institute of General Medical Sciences (U.S.) (Grant P50 GM098792) 
546 |a en_US 
655 7 |a Article 
773 |t Proceedings of the 53rd IEEE Conference on Decision and Control