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Transcriptional programming using engineered systems of transcription factors and genetic architectures

The control of gene expression is an important tool for metabolic engineering, the design of synthetic gene networks, and protein manufacturing. The most successful approaches to date are based on modulating mRNA synthesis via an inducible coupling to transcriptional effectors. Here we present a bio...

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Autores principales: Rondon, Ronald E., Groseclose, Thomas M., Short, Andrew E., Wilson, Corey J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803630/
https://www.ncbi.nlm.nih.gov/pubmed/31636266
http://dx.doi.org/10.1038/s41467-019-12706-4
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author Rondon, Ronald E.
Groseclose, Thomas M.
Short, Andrew E.
Wilson, Corey J.
author_facet Rondon, Ronald E.
Groseclose, Thomas M.
Short, Andrew E.
Wilson, Corey J.
author_sort Rondon, Ronald E.
collection PubMed
description The control of gene expression is an important tool for metabolic engineering, the design of synthetic gene networks, and protein manufacturing. The most successful approaches to date are based on modulating mRNA synthesis via an inducible coupling to transcriptional effectors. Here we present a biological programming structure that leverages a system of engineered transcription factors and complementary genetic architectures. We use a modular design strategy to create 27 non-natural and non-synonymous transcription factors using the lactose repressor topology as a guide. To direct systems of engineered transcription factors we employ parallel and series genetic (DNA) architectures and confer fundamental and combinatorial logical control over gene expression. Here we achieve AND, OR, NOT, and NOR logical controls in addition to two non-canonical half-AND operations. The basic logical operations and corresponding parallel and series genetic architectures represent the building blocks for subsequent combinatorial programs, which display both digital and analog performance.
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spelling pubmed-68036302019-10-23 Transcriptional programming using engineered systems of transcription factors and genetic architectures Rondon, Ronald E. Groseclose, Thomas M. Short, Andrew E. Wilson, Corey J. Nat Commun Article The control of gene expression is an important tool for metabolic engineering, the design of synthetic gene networks, and protein manufacturing. The most successful approaches to date are based on modulating mRNA synthesis via an inducible coupling to transcriptional effectors. Here we present a biological programming structure that leverages a system of engineered transcription factors and complementary genetic architectures. We use a modular design strategy to create 27 non-natural and non-synonymous transcription factors using the lactose repressor topology as a guide. To direct systems of engineered transcription factors we employ parallel and series genetic (DNA) architectures and confer fundamental and combinatorial logical control over gene expression. Here we achieve AND, OR, NOT, and NOR logical controls in addition to two non-canonical half-AND operations. The basic logical operations and corresponding parallel and series genetic architectures represent the building blocks for subsequent combinatorial programs, which display both digital and analog performance. Nature Publishing Group UK 2019-10-21 /pmc/articles/PMC6803630/ /pubmed/31636266 http://dx.doi.org/10.1038/s41467-019-12706-4 Text en © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Rondon, Ronald E.
Groseclose, Thomas M.
Short, Andrew E.
Wilson, Corey J.
Transcriptional programming using engineered systems of transcription factors and genetic architectures
title Transcriptional programming using engineered systems of transcription factors and genetic architectures
title_full Transcriptional programming using engineered systems of transcription factors and genetic architectures
title_fullStr Transcriptional programming using engineered systems of transcription factors and genetic architectures
title_full_unstemmed Transcriptional programming using engineered systems of transcription factors and genetic architectures
title_short Transcriptional programming using engineered systems of transcription factors and genetic architectures
title_sort transcriptional programming using engineered systems of transcription factors and genetic architectures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6803630/
https://www.ncbi.nlm.nih.gov/pubmed/31636266
http://dx.doi.org/10.1038/s41467-019-12706-4
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