Evidence map›Paper›PMID 36852274›Full record

ArticleiScience2023

Generation of a single-cell B cell atlas of antibody repertoires and transcriptomes to identify signatures associated with antigen specificity.

Andreas Agrafiotis, Daniel Neumeier, Kai-Lin Hong, Tasnia Chowdhury, Roy Ehling, Raphael Kuhn, Ioana Sandu, Victor Kreiner, Tudor-Stefan Cotet, Danielle Shlesinger and 7 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Computational detection of antigen-specific B cell receptors following immunization.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Article
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

17 authors at 3 institutions in 3 countries.

Andreas AgrafiotisDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Daniel NeumeierDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Kai-Lin HongDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Tasnia ChowdhuryUCB Pharma, Slough, Berkshire, UK.
Roy EhlingDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Raphael KuhnDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Ioana SanduInstitute of Microbiology, ETH Zurich, Zurich, Switzerland.
Victor KreinerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Tudor-Stefan CotetDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Danielle ShlesingerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Daria LasloDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Stine AnzböckDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Dale StarkieUCB Pharma, Slough, Berkshire, UK.
Daniel J LightwoodUCB Pharma, Slough, Berkshire, UK.
Annette OxeniusInstitute of Microbiology, ETH Zurich, Zurich, Switzerland.
Sai T ReddyDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Alexander YermanosDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
ETH Zurich · CHUCB Pharma (United Kingdom) · GBUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although new genomics-based pipelines have potential to augment antibody discovery, these methods remain in their infancy due to an incomplete understanding of the selection process that governs B cell clonal selection, expansion, and antigen specificity. Furthermore, it remains unknown how factors such as aging and reduction of tolerance influence B cell selection. Here we perform single-cell sequencing of antibody repertoires and transcriptomes of murine B cells following immunizations with a model therapeutic antigen target. We determine the relationship between antibody repertoires, gene expression signatures, and antigen specificity across 100,000 B cells. Recombinant expression and characterization of 227 monoclonal antibodies revealed the existence of clonally expanded and class-switched antigen-specific B cells that were more frequent in young mice. Although integrating multiple repertoire features such as germline gene usage and transcriptional signatures failed to distinguish antigen-specific from nonspecific B cells, other features such as immunoglobulin G (IgG) subtype and sequence composition correlated with antigen specificity.

Indexed as

Immune responseImmunologyTranscriptomics

Identifiers

PMID36852274
PMCPMC9958373
OpenAlexW4318020057

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.