ArticleiScience2023
Multiplexed on-yeast serological assay for immune escape screening of SARS-CoV-2 variants.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Dissecting serum polyclonal antibody escape to SARS-CoV-2 variants by deep mutational learning.Cell reports methods · 2026Article
- Yeast-Based Vaccine Platforms: Applications and Key Insights from the COVID-19 Era.Biomolecules · 2026Review
- Backstage Heroes-Yeast in COVID-19 Research.International journal of molecular sciences · 2024Review
- Protein Engineering and High-Throughput Screening by Yeast Surface Display: Survey of Current Methods.Small science · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The emergence of the SARS-CoV-2 Omicron variant altered patient risk profiles and shifted the trajectory of the COVID-19 pandemic. Therefore, sensitive serological tests capable of analyzing patient IgG responses to multiple variants in parallel are highly desirable. Here, we present an adaptable serological test based on yeast surface display and serum biopanning that characterizes immune profiles against SARS-CoV-2 Wuhan (B lineage), Delta (B.1.617.2 lineage), and Omicron (B.1.1.529 lineage) receptor-binding domain (RBD) variants. We examined IgG titers from 30 serum samples from COVID-19-convalescent and vaccinated cohorts in Switzerland, and assessed the relative affinity of polyclonal serum IgG for RBD domains. We demonstrate that serum IgGs from patients recovered from severe COVID-19 between March-June 2021 bound tightly to both original Wuhan and Delta RBD variants, but failed to recognize Omicron RBDs, representing an affinity loss of >10- to 20-fold. Our yeast immunoassay is easily tailored, expandable and parallelized with newly emerging RBD variants.
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Registered trials
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