A high-throughput inhibition assay to study MERS-CoV antibody interactions using image cytometry
•Development of protein binding inhibition assay.•Enable rapid measurement of antibody binding to cells expressing target protein.•Combine high-throughput nature of ELISA with protein conformation advantage of FACS.•Can be utilized to characterize potential prophylactic or therapeutic antibodies. Th...
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Veröffentlicht in: | Journal of virological methods 2019-03, Vol.265, p.77-83 |
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Sprache: | eng |
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Zusammenfassung: | •Development of protein binding inhibition assay.•Enable rapid measurement of antibody binding to cells expressing target protein.•Combine high-throughput nature of ELISA with protein conformation advantage of FACS.•Can be utilized to characterize potential prophylactic or therapeutic antibodies.
The emergence of new pathogens, such as Middle East respiratory syndrome coronavirus (MERS-CoV), poses serious challenges to global public health and highlights the urgent need for methods to rapidly identify and characterize potential therapeutic or prevention options, such as neutralizing antibodies. Spike (S) proteins are present on the surface of MERS-CoV virions and mediate viral entry. S is the primary target for MERS-CoV vaccine and antibody development, and it has become increasingly important to understand MERS-CoV antibody binding specificity and function. Commonly used serological methods like ELISA, biolayer interferometry, and flow cytometry are informative, but limited. Here, we demonstrate a high-throughput protein binding inhibition assay using image cytometry. The image cytometry-based high-throughput screening method was developed by selecting a cell type with high DPP4 expression and defining optimal seeding density and protein binding conditions. The ability of monoclonal antibodies to inhibit MERS-CoV S binding was then tested. Binding inhibition results were comparable with those described in previous literature for MERS-CoV spike monomer and showed similar patterns as neutralization results. The coefficient of variation (CV) of our cell-based assay was |
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ISSN: | 0166-0934 1879-0984 1879-0984 |
DOI: | 10.1016/j.jviromet.2018.11.009 |