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Tuning Promoter Strength through RNA Polymerase Binding Site Design in Escherichia coli

One of the paramount goals of synthetic biology is to have the ability to tune transcriptional networks to targeted levels of expression at will. As a step in that direction, we have constructed a set of [Image: see text] unique binding sites for E. coli RNA Polymerase (RNAP) [Image: see text] holoe...

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Autores principales: Brewster, Robert C., Jones, Daniel L., Phillips, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3521663/
https://www.ncbi.nlm.nih.gov/pubmed/23271961
http://dx.doi.org/10.1371/journal.pcbi.1002811
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author Brewster, Robert C.
Jones, Daniel L.
Phillips, Rob
author_facet Brewster, Robert C.
Jones, Daniel L.
Phillips, Rob
author_sort Brewster, Robert C.
collection PubMed
description One of the paramount goals of synthetic biology is to have the ability to tune transcriptional networks to targeted levels of expression at will. As a step in that direction, we have constructed a set of [Image: see text] unique binding sites for E. coli RNA Polymerase (RNAP) [Image: see text] holoenzyme, designed using a model of sequence-dependent binding energy combined with a thermodynamic model of transcription to produce a targeted level of gene expression. This promoter set allows us to determine the correspondence between the absolute numbers of mRNA molecules or protein products and the predicted promoter binding energies measured in [Image: see text] energy units. These binding sites adhere on average to the predicted level of gene expression over [Image: see text] orders of magnitude in constitutive gene expression, to within a factor of [Image: see text] in both protein and mRNA copy number. With these promoters in hand, we then place them under the regulatory control of a bacterial repressor and show that again there is a strict correspondence between the measured and predicted levels of expression, demonstrating the transferability of the promoters to an alternate regulatory context. In particular, our thermodynamic model predicts the expression from our promoters under a range of repressor concentrations between several per cell up to over [Image: see text] per cell. After correcting the predicted polymerase binding strength using the data from the unregulated promoter, the thermodynamic model accurately predicts the expression for the simple repression strains to within [Image: see text]. Demonstration of modular promoter design, where parts of the circuit (such as RNAP/TF binding strength and transcription factor copy number) can be independently chosen from a stock list and combined to give a predictable result, has important implications as an engineering tool for use in synthetic biology.
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spelling pubmed-35216632012-12-27 Tuning Promoter Strength through RNA Polymerase Binding Site Design in Escherichia coli Brewster, Robert C. Jones, Daniel L. Phillips, Rob PLoS Comput Biol Research Article One of the paramount goals of synthetic biology is to have the ability to tune transcriptional networks to targeted levels of expression at will. As a step in that direction, we have constructed a set of [Image: see text] unique binding sites for E. coli RNA Polymerase (RNAP) [Image: see text] holoenzyme, designed using a model of sequence-dependent binding energy combined with a thermodynamic model of transcription to produce a targeted level of gene expression. This promoter set allows us to determine the correspondence between the absolute numbers of mRNA molecules or protein products and the predicted promoter binding energies measured in [Image: see text] energy units. These binding sites adhere on average to the predicted level of gene expression over [Image: see text] orders of magnitude in constitutive gene expression, to within a factor of [Image: see text] in both protein and mRNA copy number. With these promoters in hand, we then place them under the regulatory control of a bacterial repressor and show that again there is a strict correspondence between the measured and predicted levels of expression, demonstrating the transferability of the promoters to an alternate regulatory context. In particular, our thermodynamic model predicts the expression from our promoters under a range of repressor concentrations between several per cell up to over [Image: see text] per cell. After correcting the predicted polymerase binding strength using the data from the unregulated promoter, the thermodynamic model accurately predicts the expression for the simple repression strains to within [Image: see text]. Demonstration of modular promoter design, where parts of the circuit (such as RNAP/TF binding strength and transcription factor copy number) can be independently chosen from a stock list and combined to give a predictable result, has important implications as an engineering tool for use in synthetic biology. Public Library of Science 2012-12-13 /pmc/articles/PMC3521663/ /pubmed/23271961 http://dx.doi.org/10.1371/journal.pcbi.1002811 Text en © 2012 Brewster et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Brewster, Robert C.
Jones, Daniel L.
Phillips, Rob
Tuning Promoter Strength through RNA Polymerase Binding Site Design in Escherichia coli
title Tuning Promoter Strength through RNA Polymerase Binding Site Design in Escherichia coli
title_full Tuning Promoter Strength through RNA Polymerase Binding Site Design in Escherichia coli
title_fullStr Tuning Promoter Strength through RNA Polymerase Binding Site Design in Escherichia coli
title_full_unstemmed Tuning Promoter Strength through RNA Polymerase Binding Site Design in Escherichia coli
title_short Tuning Promoter Strength through RNA Polymerase Binding Site Design in Escherichia coli
title_sort tuning promoter strength through rna polymerase binding site design in escherichia coli
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3521663/
https://www.ncbi.nlm.nih.gov/pubmed/23271961
http://dx.doi.org/10.1371/journal.pcbi.1002811
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