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Expression optimization and synthetic gene networks in cell-free systems

Synthetic biology offers great promise to a variety of applications through the forward engineering of biological function. Most efforts in this field have focused on employing living cells, yet cell-free approaches offer simpler and more flexible contexts. Here, we evaluate cell-free regulatory sys...

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Detalles Bibliográficos
Autores principales: Karig, David K., Iyer, Sukanya, Simpson, Michael L., Doktycz, Mitchel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3333853/
https://www.ncbi.nlm.nih.gov/pubmed/22180537
http://dx.doi.org/10.1093/nar/gkr1191
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author Karig, David K.
Iyer, Sukanya
Simpson, Michael L.
Doktycz, Mitchel J.
author_facet Karig, David K.
Iyer, Sukanya
Simpson, Michael L.
Doktycz, Mitchel J.
author_sort Karig, David K.
collection PubMed
description Synthetic biology offers great promise to a variety of applications through the forward engineering of biological function. Most efforts in this field have focused on employing living cells, yet cell-free approaches offer simpler and more flexible contexts. Here, we evaluate cell-free regulatory systems based on T7 promoter-driven expression by characterizing variants of TetR and LacI repressible T7 promoters in a cell-free context and examining sequence elements that determine expression efficiency. Using the resulting constructs, we then explore different approaches for composing regulatory systems, leading to the implementation of inducible negative feedback in Escherichia coli extracts and in the minimal PURE system, which consists of purified proteins necessary for transcription and translation. Despite the fact that negative feedback motifs are common and essential to many natural and engineered systems, this simple building block has not previously been implemented in a cell-free context. As a final step, we then demonstrate that the feedback systems developed using our cell-free approach can be implemented in live E. coli as well, illustrating the potential for using cell-free expression to fast track the development of live cell systems in synthetic biology. Our quantitative cell-free component characterizations and demonstration of negative feedback embody important steps on the path to harnessing biological function in a bottom-up fashion.
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spelling pubmed-33338532012-04-23 Expression optimization and synthetic gene networks in cell-free systems Karig, David K. Iyer, Sukanya Simpson, Michael L. Doktycz, Mitchel J. Nucleic Acids Res Synthetic Biology and Chemistry Synthetic biology offers great promise to a variety of applications through the forward engineering of biological function. Most efforts in this field have focused on employing living cells, yet cell-free approaches offer simpler and more flexible contexts. Here, we evaluate cell-free regulatory systems based on T7 promoter-driven expression by characterizing variants of TetR and LacI repressible T7 promoters in a cell-free context and examining sequence elements that determine expression efficiency. Using the resulting constructs, we then explore different approaches for composing regulatory systems, leading to the implementation of inducible negative feedback in Escherichia coli extracts and in the minimal PURE system, which consists of purified proteins necessary for transcription and translation. Despite the fact that negative feedback motifs are common and essential to many natural and engineered systems, this simple building block has not previously been implemented in a cell-free context. As a final step, we then demonstrate that the feedback systems developed using our cell-free approach can be implemented in live E. coli as well, illustrating the potential for using cell-free expression to fast track the development of live cell systems in synthetic biology. Our quantitative cell-free component characterizations and demonstration of negative feedback embody important steps on the path to harnessing biological function in a bottom-up fashion. Oxford University Press 2012-04 2011-12-16 /pmc/articles/PMC3333853/ /pubmed/22180537 http://dx.doi.org/10.1093/nar/gkr1191 Text en Published by Oxford University Press, 2011. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Synthetic Biology and Chemistry
Karig, David K.
Iyer, Sukanya
Simpson, Michael L.
Doktycz, Mitchel J.
Expression optimization and synthetic gene networks in cell-free systems
title Expression optimization and synthetic gene networks in cell-free systems
title_full Expression optimization and synthetic gene networks in cell-free systems
title_fullStr Expression optimization and synthetic gene networks in cell-free systems
title_full_unstemmed Expression optimization and synthetic gene networks in cell-free systems
title_short Expression optimization and synthetic gene networks in cell-free systems
title_sort expression optimization and synthetic gene networks in cell-free systems
topic Synthetic Biology and Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3333853/
https://www.ncbi.nlm.nih.gov/pubmed/22180537
http://dx.doi.org/10.1093/nar/gkr1191
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