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1.
STAR Protoc ; 2(4): 100869, 2021 12 17.
Article in English | MEDLINE | ID: covidwho-1433914

ABSTRACT

Here, we describe a protocol to identify escape mutants on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) receptor-binding domain (RBD) using a yeast screen combined with deep mutational scanning. Over 90% of all potential single S RBD escape mutants can be identified for monoclonal antibodies that directly compete with angiotensin-converting enzyme 2 for binding. Six to 10 antibodies can be assessed in parallel. This approach has been shown to determine escape mutants that are consistent with more laborious SARS-CoV-2 pseudoneutralization assays. For complete details on the use and execution of this protocol, please refer to Francino-Urdaniz et al. (2021).


Subject(s)
Angiotensin-Converting Enzyme 2/genetics , COVID-19/genetics , DNA Mutational Analysis/methods , Mutation , SARS-CoV-2/genetics , Saccharomyces cerevisiae/metabolism , Spike Glycoprotein, Coronavirus/genetics , Angiotensin-Converting Enzyme 2/metabolism , Binding Sites , COVID-19/metabolism , COVID-19/virology , Humans , Saccharomyces cerevisiae/genetics , Spike Glycoprotein, Coronavirus/metabolism
2.
Cell Rep ; 36(9): 109627, 2021 08 31.
Article in English | MEDLINE | ID: covidwho-1347525

ABSTRACT

The potential emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) escape mutants is a threat to the efficacy of existing vaccines and neutralizing antibody (nAb) therapies. An understanding of the antibody/S escape mutation landscape is urgently needed to preemptively address this threat. Here we describe a rapid method to identify escape mutants for nAbs targeting the S receptor binding site. We identified escape mutants for five nAbs, including three from the public germline class VH3-53 elicited by natural coronavirus disease 2019 (COVID-19) infection. Escape mutations predominantly mapped to the periphery of the angiotensin-converting enzyme 2 (ACE2) recognition site on the RBD with K417, D420, Y421, F486, and Q493 as notable hotspots. We provide libraries, methods, and software as an openly available community resource to accelerate new therapeutic strategies against SARS-CoV-2.

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