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A large-scale systematic survey of SARS-CoV-2 antibodies reveals recurring molecular features
Preprint
in English
| bioRxiv
| ID: ppbiorxiv-470157
ABSTRACT
In the past two years, the global research in combating COVID-19 pandemic has led to isolation and characterization of numerous human antibodies to the SARS-CoV-2 spike. This enormous collection of antibodies provides an unprecedented opportunity to study the antibody response to a single antigen. From mining information derived from 88 research publications and 13 patents, we have assembled a dataset of [~]8,000 human antibodies to the SARS-CoV-2 spike from >200 donors. Analysis of antibody targeting of different domains of the spike protein reveals a number of common (public) responses to SARS-CoV-2, exemplified via recurring IGHV/IGK(L)V pairs, CDR H3 sequences, IGHD usage, and somatic hypermutation. We further present a proof-of-concept for prediction of antigen specificity using deep learning to differentiate sequences of antibodies to SARS-CoV-2 spike and to influenza hemagglutinin. Overall, this study not only provides an informative resource for antibody and vaccine research, but fundamentally advances our molecular understanding of public antibody responses to a viral pathogen.
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Full text:
Available
Collection:
Preprints
Database:
bioRxiv
Type of study:
Observational study
/
Prognostic study
/
Systematic review
Language:
English
Year:
2021
Document type:
Preprint
