Complete Mapping of Mutations to the SARS-CoV-2 Spike Receptor-Binding Domain that Escape Antibody Recognition

Allison J. Greaney(University of Washington), Tyler N. Starr(Fred Hutch Cancer Center), Pavlo Gilchuk(Vanderbilt University Medical Center), Seth J. Zost(Vanderbilt University Medical Center), Elad Binshtein(Vanderbilt University Medical Center), Andrea N. Loes(Fred Hutch Cancer Center), Sarah K. Hilton(Fred Hutch Cancer Center), John Huddleston(University of Washington), Rachel Eguia(Fred Hutch Cancer Center), Katharine H. D. Crawford(University of Washington), Adam S. Dingens(Fred Hutch Cancer Center), Rachel S. Nargi(Vanderbilt University Medical Center), Rachel E. Sutton(Vanderbilt University Medical Center), Naveenchandra Suryadevara(Vanderbilt University Medical Center), Paul W. Rothlauf(Washington University in St. Louis), Zhuoming Liu(Washington University in St. Louis), Sean P. J. Whelan(Washington University in St. Louis), Robert H. Carnahan(Vanderbilt University Medical Center), James E. Crowe(Vanderbilt University Medical Center), Jesse D. Bloom(Howard Hughes Medical Institute)
Cell Host & Microbe
November 19, 2020
Cited by 1,143Open Access
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Abstract

Antibodies targeting the SARS-CoV-2 spike receptor-binding domain (RBD) are being developed as therapeutics and are a major contributor to neutralizing antibody responses elicited by infection. Here, we describe a deep mutational scanning method to map how all amino-acid mutations in the RBD affect antibody binding and apply this method to 10 human monoclonal antibodies. The escape mutations cluster on several surfaces of the RBD that broadly correspond to structurally defined antibody epitopes. However, even antibodies targeting the same surface often have distinct escape mutations. The complete escape maps predict which mutations are selected during viral growth in the presence of single antibodies. They further enable the design of escape-resistant antibody cocktails-including cocktails of antibodies that compete for binding to the same RBD surface but have different escape mutations. Therefore, complete escape-mutation maps enable rational design of antibody therapeutics and assessment of the antigenic consequences of viral evolution.


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