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Deep Sequencing of B Cell Receptor Repertoires From COVID-19 Patients Reveals Strong Convergent Immune Signatures

  • Jacob D. Galson*
  • , Sebastian Schaetzle
  • , Rachael J.M. Bashford-Rogers
  • , Matthew I.J. Raybould
  • , Aleksandr Kovaltsuk
  • , Gavin J. Kilpatrick
  • , Ralph Minter
  • , Donna K. Finch
  • , Jorge Dias
  • , Louisa K. James
  • , Gavin Thomas
  • , Wing Yiu Jason Lee
  • , Jason Betley
  • , Olivia Cavlan
  • , Alex Leech
  • , Charlotte M. Deane
  • , Joan Seoane
  • , Carlos Caldas
  • , Daniel J. Pennington
  • , Paul Pfeffer
  • Jane Osbourn
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

104 Scopus citations

Abstract

Deep sequencing of B cell receptor (BCR) heavy chains from a cohort of 31 COVID-19 patients from the UK reveals a stereotypical naive immune response to SARS-CoV-2 which is consistent across patients. Clonal expansion of the B cell population is also observed and may be the result of memory bystander effects. There was a strong convergent sequence signature across patients, and we identified 1,254 clonotypes convergent between at least four of the COVID-19 patients, but not present in healthy controls or individuals following seasonal influenza vaccination. A subset of the convergent clonotypes were homologous to known SARS and SARS-CoV-2 spike protein neutralizing antibodies. Convergence was also demonstrated across wide geographies by comparison of data sets between patients from UK, USA, and China, further validating the disease association and consistency of the stereotypical immune response even at the sequence level. These convergent clonotypes provide a resource to identify potential therapeutic and prophylactic antibodies and demonstrate the potential of BCR profiling as a tool to help understand patient responses.

Original languageEnglish
Article number605170
JournalFrontiers in Immunology
Volume11
DOIs
StatePublished - 15 Dec 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© Copyright © 2020 Galson, Schaetzle, Bashford-Rogers, Raybould, Kovaltsuk, Kilpatrick, Minter, Finch, Dias, James, Thomas, Lee, Betley, Cavlan, Leech, Deane, Seoane, Caldas, Pennington, Pfeffer and Osbourn.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • B-cell repertoire
  • BCR
  • COVID-19
  • SARS-CoV-2
  • antibody
  • convergence

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