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Rapid isolation and profiling of a diverse panel of human monoclonal antibodies targeting the SARS-CoV-2 spike protein
Open accessPublished version of a preprint
Abstract
Antibodies are a principal determinant of immunity for most RNA viruses and have promise to reduce infection or disease during major epidemics. The novel coronavirus SARS-CoV-2 has caused a global pandemic with millions of infections and hundreds of thousands of deaths to date1,2. In response, we used a rapid antibody discovery platform to isolate hundreds of human monoclonal antibodies (mAbs) against the SARS-CoV-2 spike (S) protein. We stratify these mAbs into five major classes on the basis of their reactivity to subdomains of S protein as well as their cross-reactivity to SARS-CoV. Many of these mAbs inhibit infection of authentic SARS-CoV-2 virus, with most neutralizing mAbs recognizing the receptor-binding domain (RBD) of S. This work defines sites of vulnerability on SARS-CoV-2 S and demonstrates the speed and robustness of advanced antibody discovery platforms. A platform for rapid antibody discovery enabled the isolation of hundreds of human monoclonal antibodies against SARS-CoV-2 and the prioritization of potent antibody candidates for clinical trials in patients with COVID-19.
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Self-citation
Metadata
- Authors
- Zost, S. J., Gilchuk, P., Chen, R. E., Case, J. B., Reidy, J. X., Trivette, A., Nargi, R. S., Sutton, R. E., Suryadevara, N., Chen, E. C., Binshtein, E., Shrihari, S., Ostrowski, M., Chu, H. Y., Didier, J. E., MacRenaris, K. W., Jones, T., Day, S., Myers, L., Eun-Hyung Lee, F., Nguyen, D. C., Sanz, I., Martinez, D. R., Rothlauf, P. W., Bloyet, L.-M., Whelan, S. P. J., Baric, R. S., Thackray, L. B., Diamond, M. S., Carnahan, R. H., & Crowe, J. E.
- Venue
- Nature Medicine
- Published
- 2020-07-10
- Volume
- 26
- Issue
- 9
- Pages
- 1422-1427
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W3040899749
- Cited by
- 452
- References
- 50
- FWCI
- 11.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
- Funders
- United States Department of Defense | Defense Advanced Research Projects Agency (HR0011-18-2-0001)
- U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (75N93019C0007, 75N93019C00062, T32 AI 095202)
- U.S. Department of Health & Human Services | NIH | National Center for Research Resources (1S10RR028106, UL1 RR024975-01, UL1 TR000445-06)
- Merck KGaA | EMD Serono (2019 Future Insight Prize)
- Vanderbilt University Medical Center (Dolly Parton COVID-19 Research Fund)
- Helen Hay Whitney Foundation (Postdoctoral Fellowship)
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- Zost, S. J., Gilchuk, P., Chen, R. E., Case, J. B., Reidy, J. X., Trivette, A., Nargi, R. S., Sutton, R. E., Suryadevara, N., Chen, E. C., Binshtein, E., Shrihari, S., Ostrowski, M., Chu, H. Y., Didier, J. E., MacRenaris, K. W., Jones, T., Day, S., Myers, L., . . . Crowe, J. E. (2020). Rapid isolation and profiling of a diverse panel of human monoclonal antibodies targeting the SARS-CoV-2 spike protein. Nature Medicine. https://doi.org/10.1038/s41591-020-0998-x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
