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A dual-reporter system for investigating and optimizing protein translation and folding in E. coli

Strategies for investigating and optimizing the expression and folding of proteins for biotechnological and pharmaceutical purposes are in high demand. Here, we describe a dual-reporter biosensor system that simultaneously assesses in vivo protein translation and protein folding, thereby enabling ra...

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Autores principales: Zutz, Ariane, Hamborg, Louise, Pedersen, Lasse Ebdrup, Kassem, Maher M., Papaleo, Elena, Koza, Anna, Herrgård, Markus J., Jensen, Sheila Ingemann, Teilum, Kaare, Lindorff-Larsen, Kresten, Nielsen, Alex Toftgaard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526717/
https://www.ncbi.nlm.nih.gov/pubmed/34667164
http://dx.doi.org/10.1038/s41467-021-26337-1
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author Zutz, Ariane
Hamborg, Louise
Pedersen, Lasse Ebdrup
Kassem, Maher M.
Papaleo, Elena
Koza, Anna
Herrgård, Markus J.
Jensen, Sheila Ingemann
Teilum, Kaare
Lindorff-Larsen, Kresten
Nielsen, Alex Toftgaard
author_facet Zutz, Ariane
Hamborg, Louise
Pedersen, Lasse Ebdrup
Kassem, Maher M.
Papaleo, Elena
Koza, Anna
Herrgård, Markus J.
Jensen, Sheila Ingemann
Teilum, Kaare
Lindorff-Larsen, Kresten
Nielsen, Alex Toftgaard
author_sort Zutz, Ariane
collection PubMed
description Strategies for investigating and optimizing the expression and folding of proteins for biotechnological and pharmaceutical purposes are in high demand. Here, we describe a dual-reporter biosensor system that simultaneously assesses in vivo protein translation and protein folding, thereby enabling rapid screening of mutant libraries. We have validated the dual-reporter system on five different proteins and find an excellent correlation between reporter signals and the levels of protein expression and solubility of the proteins. We further demonstrate the applicability of the dual-reporter system as a screening assay for deep mutational scanning experiments. The system enables high throughput selection of protein variants with high expression levels and altered protein stability. Next generation sequencing analysis of the resulting libraries of protein variants show a good correlation between computationally predicted and experimentally determined protein stabilities. We furthermore show that the mutational experimental data obtained using this system may be useful for protein structure calculations.
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spelling pubmed-85267172021-11-15 A dual-reporter system for investigating and optimizing protein translation and folding in E. coli Zutz, Ariane Hamborg, Louise Pedersen, Lasse Ebdrup Kassem, Maher M. Papaleo, Elena Koza, Anna Herrgård, Markus J. Jensen, Sheila Ingemann Teilum, Kaare Lindorff-Larsen, Kresten Nielsen, Alex Toftgaard Nat Commun Article Strategies for investigating and optimizing the expression and folding of proteins for biotechnological and pharmaceutical purposes are in high demand. Here, we describe a dual-reporter biosensor system that simultaneously assesses in vivo protein translation and protein folding, thereby enabling rapid screening of mutant libraries. We have validated the dual-reporter system on five different proteins and find an excellent correlation between reporter signals and the levels of protein expression and solubility of the proteins. We further demonstrate the applicability of the dual-reporter system as a screening assay for deep mutational scanning experiments. The system enables high throughput selection of protein variants with high expression levels and altered protein stability. Next generation sequencing analysis of the resulting libraries of protein variants show a good correlation between computationally predicted and experimentally determined protein stabilities. We furthermore show that the mutational experimental data obtained using this system may be useful for protein structure calculations. Nature Publishing Group UK 2021-10-19 /pmc/articles/PMC8526717/ /pubmed/34667164 http://dx.doi.org/10.1038/s41467-021-26337-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Zutz, Ariane
Hamborg, Louise
Pedersen, Lasse Ebdrup
Kassem, Maher M.
Papaleo, Elena
Koza, Anna
Herrgård, Markus J.
Jensen, Sheila Ingemann
Teilum, Kaare
Lindorff-Larsen, Kresten
Nielsen, Alex Toftgaard
A dual-reporter system for investigating and optimizing protein translation and folding in E. coli
title A dual-reporter system for investigating and optimizing protein translation and folding in E. coli
title_full A dual-reporter system for investigating and optimizing protein translation and folding in E. coli
title_fullStr A dual-reporter system for investigating and optimizing protein translation and folding in E. coli
title_full_unstemmed A dual-reporter system for investigating and optimizing protein translation and folding in E. coli
title_short A dual-reporter system for investigating and optimizing protein translation and folding in E. coli
title_sort dual-reporter system for investigating and optimizing protein translation and folding in e. coli
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526717/
https://www.ncbi.nlm.nih.gov/pubmed/34667164
http://dx.doi.org/10.1038/s41467-021-26337-1
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