Evidence map›Paper›PMID 33384691›Full record

ArticleFrontiers in immunology2020

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 and 11 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

102 citing papers in PubMed, 1 synthesis or guideline pooled it, 151 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. High-throughput, quantitative approach to peptide epitope discovery.Medical & biological engineering & computing · 2026
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  11. Data-optimal scaling of paired antibody language models.bioRxiv : the preprint server for biology · 2025
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42 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 6 institutions in 2 countries.

Jacob D GalsonAlchemab Therapeutics Ltd, London, United Kingdom.
Sebastian SchaetzleAlchemab Therapeutics Ltd, London, United Kingdom.
Rachael J M Bashford-RogersAlchemab Therapeutics Ltd, London, United Kingdom.
Matthew I J RaybouldOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Aleksandr KovaltsukOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Gavin J KilpatrickAlchemab Therapeutics Ltd, London, United Kingdom.
Ralph MinterAlchemab Therapeutics Ltd, London, United Kingdom.
Donna K FinchAlchemab Therapeutics Ltd, London, United Kingdom.
Jorge DiasAlchemab Therapeutics Ltd, London, United Kingdom.
Louisa K JamesBarts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
Gavin ThomasBarts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
Wing-Yiu Jason LeeBarts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
Jason BetleyIllumina, Inc., Illumina Centre, Cambridge, United Kingdom.
Olivia CavlanAlchemab Therapeutics Ltd, London, United Kingdom.
Alex LeechAlchemab Therapeutics Ltd, London, United Kingdom.
Charlotte M DeaneOxford Protein Informatics Group, Department of Statistics, University of Oxford, Oxford, United Kingdom.
Joan SeoaneTranslational Research Program, Vall d'Hebron Institute of Oncology, Barcelona, Spain.
Carlos CaldasCancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, United Kingdom.
Daniel J PenningtonBarts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
Paul PfefferBarts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
Jane OsbournAlchemab Therapeutics Ltd, London, United Kingdom.
Queen Mary University of London · GBUniversity of Oxford · GBCancer Research UK Cambridge Center · GBCentre for Human Genetics · GBIllumina (United Kingdom) · GBVall d'Hebron Institut de Recerca · ES

Funding

Cancer Research UK 29567
6 · The paper itself

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.

Indexed as

Antibodies, NeutralizingAntibodies, ViralB-LymphocytesCOVID-19FemaleHigh-Throughput Nucleotide SequencingHumansLymphopeniaMaleMiddle AgedReceptors, Antigen, B-CellSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, NeutralizingAntibodies, ViralReceptors, Antigen, B-CellSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2antibodyB-cell repertoireBCRconvergenceCOVID-19SARS-CoV-2

Identifiers

PMID33384691
PMCPMC7769841
OpenAlexW3111287171

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.