Evidence map›Paper›PMID 31588507›Full record

ArticleNucleic acids research2020

VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium.

Dmitry V Bagaev, Renske M A Vroomans, Jerome Samir, Ulrik Stervbo, Cristina Rius, Garry Dolton, Alexander Greenshields-Watson, Meriem Attaf, Evgeny S Egorov, Ivan V Zvyagin and 8 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 256 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
256citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

256 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Resolving SARS-CoV-2 CD4Cell reports. Medicine · 2022
    Pooled it
  5. Trial
  6. Trial
  7. Review
  8. Article
  9. T Cell Thoughts.Immunological reviews · 2026
    Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Transcriptional landscape of CD4+ T cells in Systemic Sclerosis.bioRxiv : the preprint server for biology · 2026
    Article
  19. Article
  20. Article

196 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

18 authors.

Dmitry V BagaevPirogov Russian Medical State University, Moscow, Russia.
Renske M A VroomansOrigins Center, Groningen, The Netherlands.
Jerome SamirKirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia.
Ulrik StervboCenter for Translational Medicine, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany.
Cristina RiusDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
Garry DoltonDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
Alexander Greenshields-WatsonDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
Meriem AttafDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
Evgeny S EgorovShemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
Ivan V ZvyaginPirogov Russian Medical State University, Moscow, Russia.
Nina BabelCenter for Translational Medicine, Medical Department I, Marien Hospital Herne, University Hospital of the Ruhr-University Bochum, Herne, Germany.
David K ColeDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
Andrew J GodkinDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
Andrew K SewellDivision of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, UK.
Can KesmirTheoretical Biology and Bioinformatics Department, Science Faculty, Utrecht University, Utrecht, Netherlands.
Dmitriy M ChudakovPirogov Russian Medical State University, Moscow, Russia.
Fabio LucianiKirby Institute for Infection and Immunity, UNSW Sydney, Sydney, Australia.
Mikhail ShugayPirogov Russian Medical State University, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we report an update of the VDJdb database with a substantial increase in the number of T-cell receptor (TCR) sequences and their cognate antigens. The update further provides a new database infrastructure featuring two additional analysis modes that facilitate database querying and real-world data analysis. The increased yield of TCR specificity identification methods and the overall increase in the number of studies in the field has allowed us to expand the database more than 5-fold. Furthermore, several new analysis methods are included. For example, batch annotation of TCR repertoire sequencing samples allows for annotating large datasets on-line. Using recently developed bioinformatic methods for TCR motif mining, we have built a reduced set of high-quality TCR motifs that can be used for both training TCR specificity predictors and matching against TCRs of interest. These additions enhance the versatility of the VDJdb in the task of exploring T-cell antigen specificities. The database is available at https://vdjdb.cdr3.net.

Indexed as

Databases, GeneticNucleotide MotifsV(D)J RecombinationAmino Acid SequenceComputational BiologyHigh-Throughput Nucleotide SequencingHumansPosition-Specific Scoring MatricesReceptors, Antigen, T-CellSequence Analysis, DNASoftwareWeb BrowserReceptors, Antigen, T-Cell

Identifiers

PMID31588507
PMCPMC6943061

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.