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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-8526717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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