A large-scale systematic survey reveals recurring molecular features of public antibody responses to SARS-CoV-2

Yiquan Wang, Meng Yuan, Huibin Lv, Jian Peng, Ian A Wilson, Nicholas C Wu

Research output: Contribution to journalArticlepeer-review

Abstract

Global research to combat the COVID-19 pandemic has led to the isolation and characterization of thousands of human antibodies to the SARS-CoV-2 spike protein, providing an unprecedented opportunity to study the antibody response to a single antigen. Using the information derived from 88 research publications and 13 patents, we assembled a dataset of ∼8,000 human antibodies to the SARS-CoV-2 spike protein from >200 donors. By analyzing immunoglobulin V and D gene usages, complementarity-determining region H3 sequences, and somatic hypermutations, we demonstrated that the common (public) responses to different domains of the spike protein were quite different. We further used these sequences to train a deep-learning model to accurately distinguish between the human antibodies to SARS-CoV-2 spike protein and those to influenza hemagglutinin protein. Overall, this study provides an informative resource for antibody research and enhances our molecular understanding of public antibody responses.

Original languageEnglish (US)
JournalImmunity
Early online dateMar 25 2022
DOIs
StateE-pub ahead of print - Mar 25 2022

Keywords

  • COVID-19
  • somatic hypermutation
  • affinity maturation
  • structural analysis
  • deep learning
  • sequence analysis
  • data mining
  • public antibody response
  • antibody
  • SARS-CoV-2

ASJC Scopus subject areas

  • Infectious Diseases
  • Immunology and Allergy
  • Immunology

Fingerprint

Dive into the research topics of 'A large-scale systematic survey reveals recurring molecular features of public antibody responses to SARS-CoV-2'. Together they form a unique fingerprint.

Cite this