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A universal approach to gene expression engineering
In this study, we provide a universal approach to Gene Expression Engineering (GeneEE) for creating artificial expression systems. GeneEE leads to the generation of artificial 5(ʹ) regulatory sequences (ARES) consisting of promoters and 5(ʹ) untranslated regions. The ARES lead to the successful recr...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534286/ https://www.ncbi.nlm.nih.gov/pubmed/36212995 http://dx.doi.org/10.1093/synbio/ysac017 |
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author | Lale, Rahmi Tietze, Lisa Fages-Lartaud, Maxime Nesje, Jenny Onsager, Ingerid Engelhardt, Kerstin Wong, Che Fai Alex Akan, Madina Hummel, Niklas Kalinowski, Jörn Rückert, Christian Hohmann-Marriott, Martin Frank |
author_facet | Lale, Rahmi Tietze, Lisa Fages-Lartaud, Maxime Nesje, Jenny Onsager, Ingerid Engelhardt, Kerstin Wong, Che Fai Alex Akan, Madina Hummel, Niklas Kalinowski, Jörn Rückert, Christian Hohmann-Marriott, Martin Frank |
author_sort | Lale, Rahmi |
collection | PubMed |
description | In this study, we provide a universal approach to Gene Expression Engineering (GeneEE) for creating artificial expression systems. GeneEE leads to the generation of artificial 5(ʹ) regulatory sequences (ARES) consisting of promoters and 5(ʹ) untranslated regions. The ARES lead to the successful recruitment of RNA polymerase, related sigma factors and ribosomal proteins that result in a wide range of expression levels. We also demonstrate that by engaging native transcription regulators, GeneEE can be used to generate inducible promoters. To showcase the universality of the approach, we demonstrate that 200-nucleotide (nt)-long DNA with random composition can be used to generate functional expression systems in six bacterial species, Escherichia coli, Pseudomonas putida, Corynebacterium glutamicum, Thermus thermophilus, Streptomyces albus and Streptomyces lividans, and the eukaryote yeast Saccharomyces cerevisiae. |
format | Online Article Text |
id | pubmed-9534286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-95342862022-10-06 A universal approach to gene expression engineering Lale, Rahmi Tietze, Lisa Fages-Lartaud, Maxime Nesje, Jenny Onsager, Ingerid Engelhardt, Kerstin Wong, Che Fai Alex Akan, Madina Hummel, Niklas Kalinowski, Jörn Rückert, Christian Hohmann-Marriott, Martin Frank Synth Biol (Oxf) Research Article In this study, we provide a universal approach to Gene Expression Engineering (GeneEE) for creating artificial expression systems. GeneEE leads to the generation of artificial 5(ʹ) regulatory sequences (ARES) consisting of promoters and 5(ʹ) untranslated regions. The ARES lead to the successful recruitment of RNA polymerase, related sigma factors and ribosomal proteins that result in a wide range of expression levels. We also demonstrate that by engaging native transcription regulators, GeneEE can be used to generate inducible promoters. To showcase the universality of the approach, we demonstrate that 200-nucleotide (nt)-long DNA with random composition can be used to generate functional expression systems in six bacterial species, Escherichia coli, Pseudomonas putida, Corynebacterium glutamicum, Thermus thermophilus, Streptomyces albus and Streptomyces lividans, and the eukaryote yeast Saccharomyces cerevisiae. Oxford University Press 2022-08-22 /pmc/articles/PMC9534286/ /pubmed/36212995 http://dx.doi.org/10.1093/synbio/ysac017 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research Article Lale, Rahmi Tietze, Lisa Fages-Lartaud, Maxime Nesje, Jenny Onsager, Ingerid Engelhardt, Kerstin Wong, Che Fai Alex Akan, Madina Hummel, Niklas Kalinowski, Jörn Rückert, Christian Hohmann-Marriott, Martin Frank A universal approach to gene expression engineering |
title | A universal approach to gene expression engineering |
title_full | A universal approach to gene expression engineering |
title_fullStr | A universal approach to gene expression engineering |
title_full_unstemmed | A universal approach to gene expression engineering |
title_short | A universal approach to gene expression engineering |
title_sort | universal approach to gene expression engineering |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9534286/ https://www.ncbi.nlm.nih.gov/pubmed/36212995 http://dx.doi.org/10.1093/synbio/ysac017 |
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