Evidence map›Paper›PMID 30515166›Full record

ArticleFrontiers in immunology2018

Epitope Specific Antibodies and T Cell Receptors in the Immune Epitope Database.

Swapnil Mahajan, Randi Vita, Deborah Shackelford, Jerome Lane, Veronique Schulten, Laura Zarebski, Martin Closter Jespersen, Paolo Marcatili, Morten Nielsen, Alessandro Sette and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 13% 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Revised Adaptive Immune Receptor Data in the Immune Epitope Database.bioRxiv : the preprint server for biology · 2026
    Article
  5. Molecular origin, discovery, validation and application of neoantigens.Asian journal of pharmaceutical sciences · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  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

11 authors at 3 institutions in 3 countries.

Swapnil MahajanCenter for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.
Randi VitaCenter for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.
Deborah ShackelfordCenter for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.
Jerome LaneCenter for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.
Veronique SchultenCenter for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.
Laura ZarebskiCenter for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.
Martin Closter JespersenDepartment of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark.
Paolo MarcatiliDepartment of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark.
Morten NielsenDepartment of Bio and Health Informatics, Technical University of Denmark, Kongens Lyngby, Denmark.
Alessandro SetteCenter for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.
Bjoern PetersCenter for Infectious Disease, La Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.
La Jolla Institute for Immunology · USTechnical University of Denmark · DKUniversity of California, San Diego · US

Funding

NIAID NIH HHS HHSN272201200010C
6 · The paper itself

Abstract

The Immune Epitope Database (IEDB) is a free public resource which catalogs experiments characterizing immune epitopes. To accommodate data from next generation repertoire sequencing experiments, we recently updated how we capture and query epitope specific antibodies and T cell receptors. Specifically, we are now storing partial receptor sequences sufficient to determine CDRs and VDJ gene usage which are commonly identified by repertoire sequencing. For previously captured full length receptor sequencing data, we have calculated the corresponding CDR sequences and gene usage information using IMGT numbering and VDJ gene nomenclature format. To integrate information from receptors defined at different levels of resolution, we grouped receptors based on their host species, receptor type and CDR3 sequence. As of August 2018, we have cataloged sequence information for more than 22,510 receptors in 18,292 receptor groups, shown to bind to more than 2,241 distinct epitopes. These data are accessible as full exports and through a new dedicated query interface. The later combines the new ability to search by receptor characteristics with previously existing capability to search by epitope characteristics such as the infectious agent the epitope is derived from, or the kind of immune response involved in its recognition. We expect that this comprehensive capture of epitope specific immune receptor information will provide new insights into receptor-epitope interactions, and facilitate the development of novel tools that help in the analysis of receptor repertoire data.

Indexed as

Antibody SpecificityDatabases, ProteinAnimalsAntibodiesEpitopes, T-LymphocyteHumansMiceReceptors, Antigen, T-CellAntibodiesEpitopes, T-LymphocyteReceptors, Antigen, T-CellAIRRantibodyBCRCDRepitopeIEDBrepertoire sequencingTCR

Identifiers

PMID30515166
PMCPMC6255941
OpenAlexW2901096054

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.