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Identification of SARS-CoV-2 S RBD escape mutants using yeast screening and deep mutational scanning
Here, we describe a protocol to identify escape mutants on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) receptor-binding domain (RBD) using a yeast screen combined with deep mutational scanning. Over 90% of all potential single S RBD escape mutants can be identified for...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455247/ https://www.ncbi.nlm.nih.gov/pubmed/34568839 http://dx.doi.org/10.1016/j.xpro.2021.100869 |
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author | Haas, Cyrus M. Francino-Urdaniz, Irene M. Steiner, Paul J. Whitehead, Timothy A. |
author_facet | Haas, Cyrus M. Francino-Urdaniz, Irene M. Steiner, Paul J. Whitehead, Timothy A. |
author_sort | Haas, Cyrus M. |
collection | PubMed |
description | Here, we describe a protocol to identify escape mutants on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) receptor-binding domain (RBD) using a yeast screen combined with deep mutational scanning. Over 90% of all potential single S RBD escape mutants can be identified for monoclonal antibodies that directly compete with angiotensin-converting enzyme 2 for binding. Six to 10 antibodies can be assessed in parallel. This approach has been shown to determine escape mutants that are consistent with more laborious SARS-CoV-2 pseudoneutralization assays. For complete details on the use and execution of this protocol, please refer to Francino-Urdaniz et al. (2021). |
format | Online Article Text |
id | pubmed-8455247 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-84552472021-09-22 Identification of SARS-CoV-2 S RBD escape mutants using yeast screening and deep mutational scanning Haas, Cyrus M. Francino-Urdaniz, Irene M. Steiner, Paul J. Whitehead, Timothy A. STAR Protoc Protocol Here, we describe a protocol to identify escape mutants on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) receptor-binding domain (RBD) using a yeast screen combined with deep mutational scanning. Over 90% of all potential single S RBD escape mutants can be identified for monoclonal antibodies that directly compete with angiotensin-converting enzyme 2 for binding. Six to 10 antibodies can be assessed in parallel. This approach has been shown to determine escape mutants that are consistent with more laborious SARS-CoV-2 pseudoneutralization assays. For complete details on the use and execution of this protocol, please refer to Francino-Urdaniz et al. (2021). Elsevier 2021-09-22 /pmc/articles/PMC8455247/ /pubmed/34568839 http://dx.doi.org/10.1016/j.xpro.2021.100869 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Haas, Cyrus M. Francino-Urdaniz, Irene M. Steiner, Paul J. Whitehead, Timothy A. Identification of SARS-CoV-2 S RBD escape mutants using yeast screening and deep mutational scanning |
title | Identification of SARS-CoV-2 S RBD escape mutants using yeast screening and deep mutational scanning |
title_full | Identification of SARS-CoV-2 S RBD escape mutants using yeast screening and deep mutational scanning |
title_fullStr | Identification of SARS-CoV-2 S RBD escape mutants using yeast screening and deep mutational scanning |
title_full_unstemmed | Identification of SARS-CoV-2 S RBD escape mutants using yeast screening and deep mutational scanning |
title_short | Identification of SARS-CoV-2 S RBD escape mutants using yeast screening and deep mutational scanning |
title_sort | identification of sars-cov-2 s rbd escape mutants using yeast screening and deep mutational scanning |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8455247/ https://www.ncbi.nlm.nih.gov/pubmed/34568839 http://dx.doi.org/10.1016/j.xpro.2021.100869 |
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