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Potent and specific human monoclonal antibodies against SARS-CoV-2 Omicron variant by rapid mRNA immunization of humanized mice
Ping Ren; Lei Peng; Zhenhao Fang; Kazushi Suzuki; Paul A Renauer; Qianqian Lin; Meizhu Bai; Luojia Yang; Tongqing Li; Paul Clark; Daryl Klein; Sidi Chen.
Afiliação
  • Ping Ren; Yale University
  • Lei Peng; Yale University
  • Zhenhao Fang; Yale University
  • Kazushi Suzuki; Yale University
  • Paul A Renauer; Yale University
  • Qianqian Lin; Yale University
  • Meizhu Bai; Yale University
  • Luojia Yang; Yale University
  • Tongqing Li; Yale University
  • Paul Clark; Yale University
  • Daryl Klein; Yale University
  • Sidi Chen; Yale University
Preprint em Inglês | bioRxiv | ID: ppbiorxiv-484817
ABSTRACT
The Omicron variant (B.1.1.529) of SARS-CoV-2 rapidly becomes dominant globally. Its extensive mutations confer severe efficacy reduction to most of existing antibodies or vaccines. Here, we developed RAMIHM, a highly efficient strategy to generate fully human monoclonal antibodies (mAbs), directly applied it with Omicron-mRNA immunization, and isolated three potent and specific clones against Omicron. Rapid mRNA immunization elicited strong anti-Omicron antibody response in humanized mice, along with broader anti-coronavirus activity. Customized single cell BCR sequencing mapped the clonal repertoires. Top-ranked clones collectively from peripheral blood, plasma B and memory B cell populations showed high rate of Omicron-specificity (93.3%) from RAMIHM-scBCRseq. Clone-screening identified three highly potent neutralizing antibodies that have low nanomolar affinity for Omicron RBD, and low ng/mL level IC50 in neutralization, more potent than majority of currently approved or authorized clinical RBD-targeting mAbs. These lead mAbs are fully human and ready for downstream IND-enabling and/or translational studies.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: bioRxiv Tipo de estudo: Estudo prognóstico Idioma: Inglês Ano de publicação: 2022 Tipo de documento: Preprint
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