Jamie Guenthoer1, Meghan E. Garrett1, Michelle Lilly1, Delphine M. Depierreux1, Felicitas Ruiz1, Margaret Chi1, Caitlin I. Stoddard1, Vrasha Chohan1, Kevin Sung2, Duncan Ralph2, Helen Y. Chu3, Frederick A. Matsen IV2,4, Julie Overbaugh1,2*
1Human Biology Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
2Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
3Division of Allergy and Infectious Diseases, University of Washington, Seattle, WA 98195, USA
4Howard Hughes Medical Institute, Seattle, WA 98195, USA
*Corresponding Author
The SARS-CoV-2 virus responsible for the COVID-19 global pandemic has exhibited a striking capacity for viral evolution that drives continued evasion from vaccine and infection-induced immune responses. Mutations in the receptor binding domain of the S1 subunit of the spike glycoprotein have led to considerable escape from antibody responses, reducing the efficacy of vaccines and monoclonal antibody (mAb) therapies. Therefore, there is a need to interrogate more constrained regions of Spike, such as the S2 subdomain. Here, we describe a collection of S2 mAbs from two SARS-CoV-2 convalescent individuals that target multiple regions in the S2 subdomain and can be grouped into at least five epitope classes. Most did not neutralize SARS-CoV-2 with the exception of C20.119, which bound to a highly conserved epitope in the fusion peptide and showed broad binding and neutralization activity across SARS-CoV-2, SARS-CoV-1, and closely related zoonotic sarbecoviruses. Several of the S2 mAbs tested mediated antibody-dependent cellular cytotoxicity (ADCC) at levels similar to the S1 mAb S309 that was previously authorized for treatment of SARS-CoV-2 infections. Three of the mAbs with ADCC function also bound to spike trimers from HCoVs, such as MERS-CoV and HCoV-HKU1. Our findings suggest there are diverse epitopes in S2, including functional S2 mAbs with HCoV and sarbecovirus breadth that likely target functionally constrained regions of spike. These mAbs could be developed for potential future pandemics, while also providing insight into ideal epitopes for eliciting a broad HCoV response.
The code for downstream analyses and generation of plots for some figures in the manuscript is provided here.
Currently, the environment is set up with Conda and pip
. Clone this repository and create the sars2-s2-env
environment as follows:
git clone https://github.com/matsengrp/SARS-CoV-2-S2-Abs
cd SARS-CoV-2-S2-Abs
conda create -n sars2-s2-env python=3.8.10
conda activate sars2-s2-env
python -m pip install -r requirements.txt
Once the environment has been created, only the conda activate sars2-s2-env
command call is needed next time before running the code.
The plots for Figure 6A and 6B are generated with plot_20C_mAbs_phage-dms_preFP-FP.ipynb
.
Figure S9 is generated with plot_plasma_enrichment.ipynb
.
Figure S10A is generated with heatmap-S2-mAbs-PhageDMS.ipynb
, and Figure S10B is generated with heatmap-S2-mAbs-PanCoV.ipynb
.
The plots in Figure S11 are generated with plot_mAbs_enrichment.ipynb
.