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Automated Design of Synthetic Ribosome Binding Sites to Precisely Control Protein Expression

Microbial engineering often requires fine control over protein expression; for example, to connect genetic circuits 1-7 or control flux through a metabolic pathway 8-13. We have developed a predictive design method for synthetic ribosome binding sites that enables the rational control of a protein&#...

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Detalles Bibliográficos
Autores principales: Salis, Howard M., Mirsky, Ethan A., Voigt, Christopher A.
Formato: Texto
Lenguaje:English
Publicado: 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2782888/
https://www.ncbi.nlm.nih.gov/pubmed/19801975
http://dx.doi.org/10.1038/nbt.1568
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author Salis, Howard M.
Mirsky, Ethan A.
Voigt, Christopher A.
author_facet Salis, Howard M.
Mirsky, Ethan A.
Voigt, Christopher A.
author_sort Salis, Howard M.
collection PubMed
description Microbial engineering often requires fine control over protein expression; for example, to connect genetic circuits 1-7 or control flux through a metabolic pathway 8-13. We have developed a predictive design method for synthetic ribosome binding sites that enables the rational control of a protein's production rate on a proportional scale. Experimental validation of over 100 predictions in Escherichia coli shows that the method is accurate to within a factor of 2.3 over a range of 100,000-fold. The design method also correctly predicts that reusing a ribosome binding site sequence in different genetic contexts can result in different protein expression levels. We demonstrate the method's utility by rationally optimizing a protein's expression level to connect a genetic sensor to a synthetic circuit. The proposed forward engineering approach will accelerate the construction and systematic optimization of large genetic systems.
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spelling pubmed-27828882010-04-04 Automated Design of Synthetic Ribosome Binding Sites to Precisely Control Protein Expression Salis, Howard M. Mirsky, Ethan A. Voigt, Christopher A. Nat Biotechnol Article Microbial engineering often requires fine control over protein expression; for example, to connect genetic circuits 1-7 or control flux through a metabolic pathway 8-13. We have developed a predictive design method for synthetic ribosome binding sites that enables the rational control of a protein's production rate on a proportional scale. Experimental validation of over 100 predictions in Escherichia coli shows that the method is accurate to within a factor of 2.3 over a range of 100,000-fold. The design method also correctly predicts that reusing a ribosome binding site sequence in different genetic contexts can result in different protein expression levels. We demonstrate the method's utility by rationally optimizing a protein's expression level to connect a genetic sensor to a synthetic circuit. The proposed forward engineering approach will accelerate the construction and systematic optimization of large genetic systems. 2009-10-04 2009-10 /pmc/articles/PMC2782888/ /pubmed/19801975 http://dx.doi.org/10.1038/nbt.1568 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Salis, Howard M.
Mirsky, Ethan A.
Voigt, Christopher A.
Automated Design of Synthetic Ribosome Binding Sites to Precisely Control Protein Expression
title Automated Design of Synthetic Ribosome Binding Sites to Precisely Control Protein Expression
title_full Automated Design of Synthetic Ribosome Binding Sites to Precisely Control Protein Expression
title_fullStr Automated Design of Synthetic Ribosome Binding Sites to Precisely Control Protein Expression
title_full_unstemmed Automated Design of Synthetic Ribosome Binding Sites to Precisely Control Protein Expression
title_short Automated Design of Synthetic Ribosome Binding Sites to Precisely Control Protein Expression
title_sort automated design of synthetic ribosome binding sites to precisely control protein expression
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2782888/
https://www.ncbi.nlm.nih.gov/pubmed/19801975
http://dx.doi.org/10.1038/nbt.1568
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