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Massively multiplexed affinity characterization of therapeutic antibodies against SARS-CoV-2 variants
Antibody therapies represent a valuable tool to reduce COVID-19 deaths and hospitalizations. Multiple antibody candidates have been granted emergency use authorization by the Food and Drug Administration and many more are in clinical trials. Most antibody therapies for COVID-19 are engineered to bin...
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/PMC9129155/ https://www.ncbi.nlm.nih.gov/pubmed/35769631 http://dx.doi.org/10.1093/abt/tbac011 |
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author | Engelhart, Emily Lopez, Randolph Emerson, Ryan Lin, Charles Shikany, Colleen Guion, Daniel Kelley, Mary Younger, David |
author_facet | Engelhart, Emily Lopez, Randolph Emerson, Ryan Lin, Charles Shikany, Colleen Guion, Daniel Kelley, Mary Younger, David |
author_sort | Engelhart, Emily |
collection | PubMed |
description | Antibody therapies represent a valuable tool to reduce COVID-19 deaths and hospitalizations. Multiple antibody candidates have been granted emergency use authorization by the Food and Drug Administration and many more are in clinical trials. Most antibody therapies for COVID-19 are engineered to bind to the receptor-binding domain (RBD) of the SARS-CoV-2 Spike protein and disrupt its interaction with angiotensin-converting enzyme 2 (ACE2). Notably, several SARS-CoV-2 strains have accrued mutations throughout the RBD that improve ACE2 binding affinity, enhance viral transmission and escape some existing antibody therapies. Here, we measure the binding affinity of 33 therapeutic antibodies against a large panel of SARS-CoV-2 variants and related strains of clinical significance using AlphaSeq, a high-throughput yeast mating-based assay to determine epitopic residues, determine which mutations result in loss of binding and predict how future RBD variants may impact antibody efficacy. |
format | Online Article Text |
id | pubmed-9129155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-91291552022-05-25 Massively multiplexed affinity characterization of therapeutic antibodies against SARS-CoV-2 variants Engelhart, Emily Lopez, Randolph Emerson, Ryan Lin, Charles Shikany, Colleen Guion, Daniel Kelley, Mary Younger, David Antib Ther Brief Report Antibody therapies represent a valuable tool to reduce COVID-19 deaths and hospitalizations. Multiple antibody candidates have been granted emergency use authorization by the Food and Drug Administration and many more are in clinical trials. Most antibody therapies for COVID-19 are engineered to bind to the receptor-binding domain (RBD) of the SARS-CoV-2 Spike protein and disrupt its interaction with angiotensin-converting enzyme 2 (ACE2). Notably, several SARS-CoV-2 strains have accrued mutations throughout the RBD that improve ACE2 binding affinity, enhance viral transmission and escape some existing antibody therapies. Here, we measure the binding affinity of 33 therapeutic antibodies against a large panel of SARS-CoV-2 variants and related strains of clinical significance using AlphaSeq, a high-throughput yeast mating-based assay to determine epitopic residues, determine which mutations result in loss of binding and predict how future RBD variants may impact antibody efficacy. Oxford University Press 2022-05-12 /pmc/articles/PMC9129155/ /pubmed/35769631 http://dx.doi.org/10.1093/abt/tbac011 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Antibody Therapeutics. All rights reserved. For Permissions, please email: journals.permissions@oup.com 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 | Brief Report Engelhart, Emily Lopez, Randolph Emerson, Ryan Lin, Charles Shikany, Colleen Guion, Daniel Kelley, Mary Younger, David Massively multiplexed affinity characterization of therapeutic antibodies against SARS-CoV-2 variants |
title | Massively multiplexed affinity characterization of therapeutic antibodies against SARS-CoV-2 variants |
title_full | Massively multiplexed affinity characterization of therapeutic antibodies against SARS-CoV-2 variants |
title_fullStr | Massively multiplexed affinity characterization of therapeutic antibodies against SARS-CoV-2 variants |
title_full_unstemmed | Massively multiplexed affinity characterization of therapeutic antibodies against SARS-CoV-2 variants |
title_short | Massively multiplexed affinity characterization of therapeutic antibodies against SARS-CoV-2 variants |
title_sort | massively multiplexed affinity characterization of therapeutic antibodies against sars-cov-2 variants |
topic | Brief Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129155/ https://www.ncbi.nlm.nih.gov/pubmed/35769631 http://dx.doi.org/10.1093/abt/tbac011 |
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