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

2020 Cell Host & Microbe 1,110 citations

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.

Keywords

Spike ProteinBiologySpike (software development)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Coronavirus disease 2019 (COVID-19)AntibodyVirologyMutationGenetics2019-20 coronavirus outbreakComputational biologyDomain (mathematical analysis)GeneComputer science

Affiliated Institutions

Related Publications

Publication Info

Year
2020
Type
article
Volume
29
Issue
1
Pages
44-57.e9
Citations
1110
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1110
OpenAlex

Cite This

Allison J. Greaney, Tyler N. Starr, Pavlo Gilchuk et al. (2020). Complete Mapping of Mutations to the SARS-CoV-2 Spike Receptor-Binding Domain that Escape Antibody Recognition. Cell Host & Microbe , 29 (1) , 44-57.e9. https://doi.org/10.1016/j.chom.2020.11.007

Identifiers

DOI
10.1016/j.chom.2020.11.007