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Deep mutational scanning of essential bacterial proteins can guide antibiotic development

Deep mutational scanning is a powerful approach to investigate a wide variety of research questions including protein function and stability. Here, we perform deep mutational scanning on three essential E. coli proteins (FabZ, LpxC and MurA) involved in cell envelope synthesis using high-throughput...

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Autores principales: Dewachter, Liselot, Brooks, Aaron N., Noon, Katherine, Cialek, Charlotte, Clark-ElSayed, Alia, Schalck, Thomas, Krishnamurthy, Nandini, Versées, Wim, Vranken, Wim, Michiels, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842644/
https://www.ncbi.nlm.nih.gov/pubmed/36646716
http://dx.doi.org/10.1038/s41467-023-35940-3
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author Dewachter, Liselot
Brooks, Aaron N.
Noon, Katherine
Cialek, Charlotte
Clark-ElSayed, Alia
Schalck, Thomas
Krishnamurthy, Nandini
Versées, Wim
Vranken, Wim
Michiels, Jan
author_facet Dewachter, Liselot
Brooks, Aaron N.
Noon, Katherine
Cialek, Charlotte
Clark-ElSayed, Alia
Schalck, Thomas
Krishnamurthy, Nandini
Versées, Wim
Vranken, Wim
Michiels, Jan
author_sort Dewachter, Liselot
collection PubMed
description Deep mutational scanning is a powerful approach to investigate a wide variety of research questions including protein function and stability. Here, we perform deep mutational scanning on three essential E. coli proteins (FabZ, LpxC and MurA) involved in cell envelope synthesis using high-throughput CRISPR genome editing, and study the effect of the mutations in their original genomic context. We use more than 17,000 variants of the proteins to interrogate protein function and the importance of individual amino acids in supporting viability. Additionally, we exploit these libraries to study resistance development against antimicrobial compounds that target the selected proteins. Among the three proteins studied, MurA seems to be the superior antimicrobial target due to its low mutational flexibility, which decreases the chance of acquiring resistance-conferring mutations that simultaneously preserve MurA function. Additionally, we rank anti-LpxC lead compounds for further development, guided by the number of resistance-conferring mutations against each compound. Our results show that deep mutational scanning studies can be used to guide drug development, which we hope will contribute towards the development of novel antimicrobial therapies.
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spelling pubmed-98426442023-01-18 Deep mutational scanning of essential bacterial proteins can guide antibiotic development Dewachter, Liselot Brooks, Aaron N. Noon, Katherine Cialek, Charlotte Clark-ElSayed, Alia Schalck, Thomas Krishnamurthy, Nandini Versées, Wim Vranken, Wim Michiels, Jan Nat Commun Article Deep mutational scanning is a powerful approach to investigate a wide variety of research questions including protein function and stability. Here, we perform deep mutational scanning on three essential E. coli proteins (FabZ, LpxC and MurA) involved in cell envelope synthesis using high-throughput CRISPR genome editing, and study the effect of the mutations in their original genomic context. We use more than 17,000 variants of the proteins to interrogate protein function and the importance of individual amino acids in supporting viability. Additionally, we exploit these libraries to study resistance development against antimicrobial compounds that target the selected proteins. Among the three proteins studied, MurA seems to be the superior antimicrobial target due to its low mutational flexibility, which decreases the chance of acquiring resistance-conferring mutations that simultaneously preserve MurA function. Additionally, we rank anti-LpxC lead compounds for further development, guided by the number of resistance-conferring mutations against each compound. Our results show that deep mutational scanning studies can be used to guide drug development, which we hope will contribute towards the development of novel antimicrobial therapies. Nature Publishing Group UK 2023-01-16 /pmc/articles/PMC9842644/ /pubmed/36646716 http://dx.doi.org/10.1038/s41467-023-35940-3 Text en © The Author(s) 2023, corrected publication 2023 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
Dewachter, Liselot
Brooks, Aaron N.
Noon, Katherine
Cialek, Charlotte
Clark-ElSayed, Alia
Schalck, Thomas
Krishnamurthy, Nandini
Versées, Wim
Vranken, Wim
Michiels, Jan
Deep mutational scanning of essential bacterial proteins can guide antibiotic development
title Deep mutational scanning of essential bacterial proteins can guide antibiotic development
title_full Deep mutational scanning of essential bacterial proteins can guide antibiotic development
title_fullStr Deep mutational scanning of essential bacterial proteins can guide antibiotic development
title_full_unstemmed Deep mutational scanning of essential bacterial proteins can guide antibiotic development
title_short Deep mutational scanning of essential bacterial proteins can guide antibiotic development
title_sort deep mutational scanning of essential bacterial proteins can guide antibiotic development
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842644/
https://www.ncbi.nlm.nih.gov/pubmed/36646716
http://dx.doi.org/10.1038/s41467-023-35940-3
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