Deep Mutational Scanning to Discover Viral Escape from Polyclonal Antibodies Targeting SARS-CoV-2
Will, Benjamin
Will, Benjamin
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Abstract
The SARS-CoV-2 pandemic tested the limits of vaccine technology and the predictions of serological tools. The dynamic interplay between an evolving virus and drifting antibody responses at the population level propagated development of new strategies to quantify vaccine epitopes and viral escape. We employ yeast surface display of a mutagenic SARS-CoV-2 Spike protein library and next generation sequencing to map epitopes and escape mutations of polyclonal antibody repertoires. We developed a method to crosslink and capture antibodies, permitting assessment at a larger dynamic range of affinity. This strategy provides greater insight into the “tug-of-war” between viral escape and antibody generation.
Description
Undergraduate
Date
2022-01-01