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Synthetic biosensors for precise gene control and real-time monitoring of metabolites
Characterization and standardization of inducible transcriptional regulators has transformed how scientists approach biology by allowing precise and tunable control of gene expression. Despite their utility, only a handful of well-characterized regulators exist, limiting the complexity of engineered...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551912/ https://www.ncbi.nlm.nih.gov/pubmed/26152303 http://dx.doi.org/10.1093/nar/gkv616 |
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author | Rogers, Jameson K. Guzman, Christopher D. Taylor, Noah D. Raman, Srivatsan Anderson, Kelley Church, George M. |
author_facet | Rogers, Jameson K. Guzman, Christopher D. Taylor, Noah D. Raman, Srivatsan Anderson, Kelley Church, George M. |
author_sort | Rogers, Jameson K. |
collection | PubMed |
description | Characterization and standardization of inducible transcriptional regulators has transformed how scientists approach biology by allowing precise and tunable control of gene expression. Despite their utility, only a handful of well-characterized regulators exist, limiting the complexity of engineered biological systems. We apply a characterization pipeline to four genetically encoded sensors that respond to acrylate, glucarate, erythromycin and naringenin. We evaluate how the concentration of the inducing chemical relates to protein expression, how the extent of induction affects protein expression kinetics, and how the activation behavior of single cells relates to ensemble measurements. We show that activation of each sensor is orthogonal to the other sensors, and to other common inducible systems. We demonstrate independent control of three fluorescent proteins in a single cell, chemically defining eight unique transcriptional states. To demonstrate biosensor utility in metabolic engineering, we apply the glucarate biosensor to monitor product formation in a heterologous glucarate biosynthesis pathway and identify superior enzyme variants. Doubling the number of well-characterized inducible systems makes more complex synthetic biological circuits accessible. Characterizing sensors that transduce the intracellular concentration of valuable metabolites into fluorescent readouts enables high-throughput screening of biological catalysts and alleviates the primary bottleneck of the metabolic engineering design-build-test cycle. |
format | Online Article Text |
id | pubmed-4551912 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-45519122015-08-28 Synthetic biosensors for precise gene control and real-time monitoring of metabolites Rogers, Jameson K. Guzman, Christopher D. Taylor, Noah D. Raman, Srivatsan Anderson, Kelley Church, George M. Nucleic Acids Res Synthetic Biology and Bioengineering Characterization and standardization of inducible transcriptional regulators has transformed how scientists approach biology by allowing precise and tunable control of gene expression. Despite their utility, only a handful of well-characterized regulators exist, limiting the complexity of engineered biological systems. We apply a characterization pipeline to four genetically encoded sensors that respond to acrylate, glucarate, erythromycin and naringenin. We evaluate how the concentration of the inducing chemical relates to protein expression, how the extent of induction affects protein expression kinetics, and how the activation behavior of single cells relates to ensemble measurements. We show that activation of each sensor is orthogonal to the other sensors, and to other common inducible systems. We demonstrate independent control of three fluorescent proteins in a single cell, chemically defining eight unique transcriptional states. To demonstrate biosensor utility in metabolic engineering, we apply the glucarate biosensor to monitor product formation in a heterologous glucarate biosynthesis pathway and identify superior enzyme variants. Doubling the number of well-characterized inducible systems makes more complex synthetic biological circuits accessible. Characterizing sensors that transduce the intracellular concentration of valuable metabolites into fluorescent readouts enables high-throughput screening of biological catalysts and alleviates the primary bottleneck of the metabolic engineering design-build-test cycle. Oxford University Press 2015-09-03 2015-07-07 /pmc/articles/PMC4551912/ /pubmed/26152303 http://dx.doi.org/10.1093/nar/gkv616 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Synthetic Biology and Bioengineering Rogers, Jameson K. Guzman, Christopher D. Taylor, Noah D. Raman, Srivatsan Anderson, Kelley Church, George M. Synthetic biosensors for precise gene control and real-time monitoring of metabolites |
title | Synthetic biosensors for precise gene control and real-time monitoring of metabolites |
title_full | Synthetic biosensors for precise gene control and real-time monitoring of metabolites |
title_fullStr | Synthetic biosensors for precise gene control and real-time monitoring of metabolites |
title_full_unstemmed | Synthetic biosensors for precise gene control and real-time monitoring of metabolites |
title_short | Synthetic biosensors for precise gene control and real-time monitoring of metabolites |
title_sort | synthetic biosensors for precise gene control and real-time monitoring of metabolites |
topic | Synthetic Biology and Bioengineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551912/ https://www.ncbi.nlm.nih.gov/pubmed/26152303 http://dx.doi.org/10.1093/nar/gkv616 |
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