Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Department of Genome Sciences & Medical Scientist Training Program, University of Washington, Seattle, WA 98195, USA.
Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
Cell Host Microbe. 2021 Jan 13;29(1):44-57.e9. doi: 10.1016/j.chom.2020.11.007. Epub 2020 Nov 19.
Antibodies targeting the SARS-CoV-2 spike receptor-binding domain (RBD) are being developed as therapeutics and are a major contributor to neutralizing antibody responses elicited by infection. Here, we describe a deep mutational scanning method to map how all amino-acid mutations in the RBD affect antibody binding and apply this method to 10 human monoclonal antibodies. The escape mutations cluster on several surfaces of the RBD that broadly correspond to structurally defined antibody epitopes. However, even antibodies targeting the same surface often have distinct escape mutations. The complete escape maps predict which mutations are selected during viral growth in the presence of single antibodies. They further enable the design of escape-resistant antibody cocktails-including cocktails of antibodies that compete for binding to the same RBD surface but have different escape mutations. Therefore, complete escape-mutation maps enable rational design of antibody therapeutics and assessment of the antigenic consequences of viral evolution.
针对 SARS-CoV-2 刺突受体结合域 (RBD) 的抗体被开发为治疗药物,是感染引起的中和抗体反应的主要贡献者。在这里,我们描述了一种深度突变扫描方法来绘制 RBD 中所有氨基酸突变如何影响抗体结合,并将该方法应用于 10 个人源单克隆抗体。逃逸突变聚集在 RBD 的几个表面上,这些表面大致对应于结构定义的抗体表位。然而,即使针对同一表面的抗体,也常常有不同的逃逸突变。完整的逃逸图谱预测了在存在单一抗体的情况下,病毒在生长过程中会选择哪些突变。它们进一步能够设计出抗逃逸的抗体鸡尾酒,包括针对同一 RBD 表面竞争结合但具有不同逃逸突变的抗体鸡尾酒。因此,完整的逃逸突变图谱能够实现抗体治疗药物的合理设计,并评估病毒进化的抗原后果。