↓ Skip to main content

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

Overview of attention for article published in Frontiers in immunology, December 2020
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
17 X users
patent
1 patent

Readers on

mendeley
236 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Deep Sequencing of B Cell Receptor Repertoires From COVID-19 Patients Reveals Strong Convergent Immune Signatures
Published in
Frontiers in immunology, December 2020
DOI 10.3389/fimmu.2020.605170
Pubmed ID
Authors

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

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.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 236 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 236 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 56 24%
Student > Ph. D. Student 27 11%
Student > Master 25 11%
Student > Bachelor 19 8%
Other 12 5%
Other 27 11%
Unknown 70 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 17%
Medicine and Dentistry 33 14%
Immunology and Microbiology 27 11%
Agricultural and Biological Sciences 25 11%
Nursing and Health Professions 8 3%
Other 27 11%
Unknown 75 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 November 2023.
All research outputs
#1,963,417
of 26,375,196 outputs
Outputs from Frontiers in immunology
#1,902
of 33,013 outputs
Outputs of similar age
#51,887
of 533,894 outputs
Outputs of similar age from Frontiers in immunology
#48
of 724 outputs
Altmetric has tracked 26,375,196 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,013 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 533,894 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 724 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.