Evidence map›Paper›PMID 30814993›Full record

ReviewFrontiers in immunology2019

Can We Improve Vaccine Efficacy by Targeting T and B Cell Repertoire Convergence?

Katja Fink

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.3field-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

26 citing papers in PubMed, 41 citations in OpenAlex.

  1. Trial
  2. Trial
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  5. Review
  6. Learning the language of antibody hypervariability.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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. Circular RNA vaccine in disease prevention and treatment.Signal transduction and targeted therapy · 2023
    Review
  9. Article
  10. Article
  11. Moving beyond Titers.Vaccines · 2022
    Review
  12. Article
  13. AIRR Community Guide to Planning and Performing AIRR-Seq Experiments.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  14. Predicting epitopes for vaccine development using bioinformatics tools.Therapeutic advances in vaccines and immunotherapy · 2022
    Review
  15. COVID-19 vaccine platforms: Delivering on a promise?Human vaccines & immunotherapeutics · 2021
    Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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

1 author at 1 institution in 1 country.

Katja FinkSingapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore.
Singapore Immunology Network · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional vaccine development builds on the assumption that healthy individuals have virtually unlimited antigen recognition repertoires of receptors in B cells and T cells [the B cell receptor (BCR) and TCR respectively]. However, there are indications that there are "holes" in the breadth of repertoire diversity, where no or few B or T cell are able to bind to a given antigen. Repertoire diversity may in these cases be a limiting factor for vaccine efficacy. Assuming that it is possible to predict which B and T cell receptors will respond to a given immunogen, vaccine strategies could be optimized and personalized. In addition, vaccine testing could be simplified if we could predict responses through sequencing BCR and TCRs. Bulk sequencing has shown putatively specific converging sequences after infection or vaccination. However, only single cell technologies have made it possible to capture the sequence of both heavy and light chains of a BCR or the alpha and beta chains the TCR. This has enabled the cloning of receptors and the functional validation of a predicted specificity. This review summarizes recent evidence of converging sequences in infectious diseases. Current and potential future applications of single cell technology in immune repertoire analysis are then discussed. Finally, possible short- and long- term implications for vaccine research are highlighted.

Indexed as

AnimalsB-LymphocytesCommunicable Disease ControlCommunicable DiseasesHumansImmunityPrecision MedicineReceptors, Antigen, B-CellReceptors, Antigen, T-CellT-LymphocytesVaccinationVaccinesReceptors, Antigen, B-CellReceptors, Antigen, T-CellVaccinesB cell receptor (BCR)immune repertoire analysisinfectious diseasespersonalized vaccinationT cell receptor (TCR)

Identifiers

PMID30814993
PMCPMC6381292
OpenAlexW2913208793

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.