Abstract

Monoclonal antibodies targeting a variety of epitopes have been isolated from individuals previously infected with SARS-CoV-2, but the relative contributions of these different antibody classes to the polyclonal response remains unclear. Here we use a yeast-display system to map all mutations to the viral spike receptor-binding domain (RBD) that escape binding by representatives of three potently neutralizing classes of anti-RBD antibodies with high-resolution structures. We compare the antibody-escape maps to similar maps for convalescent polyclonal plasmas, including plasmas from individuals from whom some of the antibodies were isolated. While the binding of polyclonal plasma antibodies are affected by mutations across multiple RBD epitopes, the plasma-escape maps most resemble those of a single class of antibodies that target an epitope on the RBD that includes site E484. Therefore, although the human immune system can produce antibodies that target diverse RBD epitopes, in practice the polyclonal response to infection is skewed towards a single class of antibodies targeting an epitope that is already undergoing rapid evolution.

Emerging SARS-CoV-2 mutants may escape neutralization by antibodies. Here, the authors use deep mutational scanning to identify mutations in the RBD that escape human monoclonal antibodies or convalescent plasmas.

Details

Title
Mapping mutations to the SARS-CoV-2 RBD that escape binding by different classes of antibodies
Author
Greaney, Allison J 1   VIAFID ORCID Logo  ; Starr, Tyler N 2   VIAFID ORCID Logo  ; Barnes, Christopher O 3 ; Weisblum Yiska 4 ; Schmidt, Fabian 4 ; Caskey, Marina 5 ; Gaebler, Christian 5 ; Cho, Alice 5 ; Agudelo Marianna 5 ; Finkin Shlomo 5 ; Wang, Zijun 5 ; Poston, Daniel 4 ; Muecksch Frauke 4 ; Hatziioannou Theodora 4   VIAFID ORCID Logo  ; Bieniasz, Paul D 6   VIAFID ORCID Logo  ; Robbiani, Davide F 7 ; Nussenzweig, Michel C 8 ; Bjorkman, Pamela J 3   VIAFID ORCID Logo  ; Bloom, Jesse D 2   VIAFID ORCID Logo 

 Fred Hutchinson Cancer Research Center, Basic Sciences Division and Computational Biology Program, Seattle, USA (GRID:grid.270240.3) (ISNI:0000 0001 2180 1622); University of Washington, Department of Genome Sciences & Medical Scientist Training Program, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 Fred Hutchinson Cancer Research Center, Basic Sciences Division and Computational Biology Program, Seattle, USA (GRID:grid.270240.3) (ISNI:0000 0001 2180 1622); Howard Hughes Medical Institute, Chevy Chase, USA (GRID:grid.413575.1) (ISNI:0000 0001 2167 1581) 
 California Institute of Technology, Division of Biology and Biological Engineering, Pasadena, USA (GRID:grid.20861.3d) (ISNI:0000000107068890) 
 The Rockefeller University, Laboratory of Retrovirology, New York, USA (GRID:grid.134907.8) (ISNI:0000 0001 2166 1519) 
 The Rockefeller University, Laboratory of Molecular Immunology, New York, USA (GRID:grid.134907.8) (ISNI:0000 0001 2166 1519) 
 Howard Hughes Medical Institute, Chevy Chase, USA (GRID:grid.413575.1) (ISNI:0000 0001 2167 1581); The Rockefeller University, Laboratory of Retrovirology, New York, USA (GRID:grid.134907.8) (ISNI:0000 0001 2166 1519) 
 The Rockefeller University, Laboratory of Molecular Immunology, New York, USA (GRID:grid.134907.8) (ISNI:0000 0001 2166 1519); Universita della Svizzera italiana (USI), Institute for Research in Biomedicine, Bellinzona, Switzerland (GRID:grid.29078.34) (ISNI:0000 0001 2203 2861) 
 Howard Hughes Medical Institute, Chevy Chase, USA (GRID:grid.413575.1) (ISNI:0000 0001 2167 1581); The Rockefeller University, Laboratory of Molecular Immunology, New York, USA (GRID:grid.134907.8) (ISNI:0000 0001 2166 1519) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2549013143
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.