Unknown

Dataset Information

0

A large-scale systematic survey of SARS-CoV-2 antibodies reveals recurring molecular features.


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.

SUBMITTER: Wang Y 

PROVIDER: S-EPMC8647650 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-BSST379 | biostudies-other
| S-EPMC8726723 | biostudies-literature
| S-SCDT-10_1038-S44318-024-00061-0 | biostudies-other
2024-07-30 | GSE231416 | GEO
2024-07-30 | GSE231415 | GEO
2024-07-30 | GSE224951 | GEO
2024-07-30 | GSE246819 | GEO
| S-EPMC9185162 | biostudies-literature
| S-EPMC8605023 | biostudies-literature
2014-05-30 | GSE49379 | GEO