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Detection of antibodies neutralizing historical and emerging SARS-CoV-2 strains using a thermodynamically coupled de novo biosensor system
Jason Z Zhang; Hsien-Wei Yeh; Alexandra C Walls; Basile IM Wicky; Kaiti Sprouse; Laura A VanBlargan; Rebecca Treger; Alfredo Quijano-Rubio; Minh N. Pham; John C Kraft; Ian C Haydon; Wei Yang; Michelle DeWitt; Cameron Chow; Lauren Carter; Mark H Wener; Lance Stewart; David Veesler; Michael Diamond; David Baker.
Afiliação
  • Jason Z Zhang; University of Washington
  • Hsien-Wei Yeh; University of Washington
  • Alexandra C Walls; University of Washington
  • Basile IM Wicky; University of Washington
  • Kaiti Sprouse; University of Washington
  • Laura A VanBlargan; Washington University in St Louis
  • Rebecca Treger; University of Washington
  • Alfredo Quijano-Rubio; University of Washington
  • Minh N. Pham; University of Washington
  • John C Kraft; University of Washington
  • Ian C Haydon; University of Washington
  • Wei Yang; University of Washington
  • Michelle DeWitt; University of Washington
  • Cameron Chow; University of Washington
  • Lauren Carter; University of Washington
  • Mark H Wener; University of Washington
  • Lance Stewart; University of Washington
  • David Veesler; University of Washington
  • Michael Diamond; Washington University in St Louis
  • David Baker; University of Washington
Preprint em En | PREPRINT-BIORXIV | ID: ppbiorxiv-449355
ABSTRACT
With global vaccination efforts against SARS-CoV-2 underway, there is a need for rapid quantification methods for neutralizing antibodies elicited by vaccination and characterization of their strain dependence. Here, we describe a designed protein biosensor that enables sensitive and rapid detection of neutralizing antibodies against wild type and variant SARS-CoV-2 in serum samples. More generally, our thermodynamic coupling approach can better distinguish sample to sample differences in analyte binding affinity and abundance than traditional competition based assays.
Licença
cc_no
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: 1 Coleções: 09-preprints Base de dados: PREPRINT-BIORXIV Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Preprint
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