单克隆抗体
病毒学
冠状病毒
大流行
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
抗体
2019年冠状病毒病(COVID-19)
生物
2019-20冠状病毒爆发
穗蛋白
免疫
仿形(计算机编程)
免疫学
疾病
医学
传染病(医学专业)
爆发
免疫系统
病理
计算机科学
操作系统
作者
Seth J. Zost,Pavlo Gilchuk,Rita E. Chen,James Brett Case,Joseph X. Reidy,Andrew Trivette,Rachel S. Nargi,Rachel E. Sutton,Naveenchandra Suryadevara,Elaine C. Chen,Elad Binshtein,Swathi Shrihari,Mario Ostrowski,Helen Y. Chu,Jonathan E. Didier,Keith W. MacRenaris,Taylor Jones,Samuel B. Day,Luke Myers,F. Eun‐Hyung Lee
出处
期刊:Nature Medicine
[Nature Portfolio]
日期:2020-07-10
卷期号:26 (9): 1422-1427
被引量:529
标识
DOI:10.1038/s41591-020-0998-x
摘要
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.
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