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Efficient discovery of potently neutralizing SARS-CoV-2 antibodies using LIBRA-seq with ligand blocking
Andrea R Shiakolas; Nicole Johnson; Kevin J Kramer; Naveenchandra Suryadevara; Daniel Wrapp; Sivakumar Periasamy; Kelsey A Pilewski; Nagarajan Raju; Rachel Nargi; Rachel E Sutton; Lauren Walker; Ian Setliff; James E Crowe Jr.; Alexander Bukreyev; Robert H Carnahan; Jason S McLellan; Ivelin S Georgiev.
Affiliation
  • Andrea R Shiakolas; Vanderbilt University
  • Nicole Johnson; The University of Texas at Austin
  • Kevin J Kramer; Vanderbilt University
  • Naveenchandra Suryadevara; Vanderbilt Vaccine Center
  • Daniel Wrapp; The University of Texas at Austin
  • Sivakumar Periasamy; University of Texas Medical Branch at Galveston
  • Kelsey A Pilewski; Vanderbilt University
  • Nagarajan Raju; Vanderbilt Vaccine Center
  • Rachel Nargi; Vanderbilt Vaccine Center
  • Rachel E Sutton; Vanderbilt Vaccine Center
  • Lauren Walker; Vanderbilt University
  • Ian Setliff; Vanderbilt University
  • James E Crowe Jr.; Vanderbilt Vaccine Center
  • Alexander Bukreyev; University of Texas Medical Branch at Galveston
  • Robert H Carnahan; Vanderbilt Vaccine Center
  • Jason S McLellan; The University of Texas at Austin
  • Ivelin S Georgiev; Vanderbilt Vaccine Center
Preprint in English | bioRxiv | ID: ppbiorxiv-446813
ABSTRACT
SARS-CoV-2 therapeutic antibody discovery efforts have met with notable success but have been associated with a generally inefficient process, requiring the production and characterization of exceptionally large numbers of candidates for the identification of a small set of leads. Here, we show that incorporating antibody-ligand blocking as part of LIBRA-seq, the high-throughput sequencing platform for antibody discovery, results in efficient identification of ultra-potent neutralizing antibodies against SARS-CoV-2. LIBRA-seq with ligand blocking is a general platform for functional antibody discovery targeting the disruption of antigen-ligand interactions.
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Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2021 Document type: Preprint
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