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Landscape analysis of escape variants identifies SARS-CoV-2 spike mutations that attenuate monoclonal and serum antibody neutralization
- Source :
- bioRxiv
- Publication Year :
- 2020
- Publisher :
- Cold Spring Harbor Laboratory, 2020.
-
Abstract
- Although neutralizing antibodies against the SARS-CoV-2 spike (S) protein are a goal of COVID-19 vaccines and have received emergency use authorization as therapeutics, viral escape mutants could compromise their efficacy. To define the immune-selected mutational landscape in S protein, we used a VSV-eGFP-SARS-CoV-2-S chimeric virus and 19 neutralizing monoclonal antibodies (mAbs) against the receptor-binding domain (RBD) to generate 50 different escape mutants. The variants were mapped onto the RBD structure and evaluated for cross-resistance to mAbs and convalescent human sera. Each mAb had a unique resistance profile, although many shared residues within an epitope. Some variants (e.g., S477N) were resistant to neutralization by multiple mAbs, whereas others (e.g., E484K) escaped neutralization by convalescent sera, suggesting some humans induce a narrow repertoire of neutralizing antibodies. Comparing the antibody-mediated mutational landscape in S with sequence variation in circulating SARS-CoV-2, we define substitutions that may attenuate neutralizing immune responses in some humans.
- Subjects :
- Models, Molecular
COVID-19 Vaccines
medicine.drug_class
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Mutant
Antibodies, Viral
Monoclonal antibody
Article
Neutralization
Epitope
Mice
Immune system
Neutralization Tests
Chlorocebus aethiops
medicine
Animals
Humans
Vero Cells
Mice, Inbred BALB C
biology
SARS-CoV-2
Antibodies, Monoclonal
COVID-19
Antibodies, Neutralizing
Virology
Amino Acid Substitution
Mutation
Spike Glycoprotein, Coronavirus
Monoclonal
biology.protein
Receptors, Virus
Female
Angiotensin-Converting Enzyme 2
Antibody
Protein Binding
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- bioRxiv
- Accession number :
- edsair.doi.dedup.....36c0e300c55c879937f19b168897d2f1
- Full Text :
- https://doi.org/10.1101/2020.11.06.372037