Evidence map›Paper›PMID 30323809›Full record

ArticleFrontiers in immunology2018

AIRR Community Standardized Representations for Annotated Immune Repertoires.

Jason Anthony Vander Heiden, Susanna Marquez, Nishanth Marthandan, Syed Ahmad Chan Bukhari, Christian E Busse, Brian Corrie, Uri Hershberg, Steven H Kleinstein, Frederick A Matsen Iv, Duncan K Ralph and 5 more

Abstract 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 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
–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

67 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Revised Adaptive Immune Receptor Data in the Immune Epitope Database.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. AMULETY: A Python package to embed adaptive immune receptor sequences.Immunoinformatics (Amsterdam, Netherlands) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Machine learning in AIRR diagnostics: Advances and applications.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  11. Article
  12. Challenges and future directions of AIRR-seq-based diagnostics.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  13. Article
  14. Article
  15. Characterization of human CMV-specific CD8Cell reports methods · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

7 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

15 authors.

Jason Anthony Vander HeidenDepartment of Neurology, Yale School of Medicine, New Haven, CT, United States.
Susanna MarquezDepartment of Pathology, Yale School of Medicine, New Haven, CT, United States.
Nishanth MarthandanDepartment of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada.
Syed Ahmad Chan BukhariDepartment of Pathology, Yale School of Medicine, New Haven, CT, United States.
Christian E BusseDivision of B Cell Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Brian CorrieDepartment of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada.
Uri HershbergSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States.
Steven H KleinsteinDepartment of Pathology, Yale School of Medicine, New Haven, CT, United States.
Frederick A Matsen IvFred Hutchinson Cancer Research Center, Seattle, WA, United States.
Duncan K RalphFred Hutchinson Cancer Research Center, Seattle, WA, United States.
Aaron M RosenfeldSchool of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States.
Chaim A SchrammVaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States.
AIRR Community
Scott ChristleyDepartment of Clinical Sciences, UT Southwestern Medical Center, Dallas, TX, United States.
Uri LasersonDepartment of Genetics and Genomic Sciences and Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Funding

Transcriptomics and Repertoire ProfilingP01AI106697 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Donna L. Farber · 2013 to 2026
$31.3M
COMPUTATIONAL TOOLS FOR THE ANALYSIS OF HIGH-THROUGHPUT IMMUNOGLOBULIN SEQUENCING EXPERIMENTSR01AI104739 · NIAID · YALE UNIVERSITY · PI KLEINSTEIN, STEVEN H. · 2014 to 2022
$3.6M
RepServer: Antigen Receptor Repertoire Analysis Pipelines via the WWWR01AI097403 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI COWELL, LINDSAY G. · 2012 to 2016
$3.2M
Leveraing deep sequencing data to understand antibody maturationR01GM113246 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MATSEN, FREDERICK ALBERT · 2014 to 2018
$1.9M
NIAID NIH HHS P01 AI106697NIAID NIH HHS R01 AI097403NIAID NIH HHS R01 AI104739NIGMS NIH HHS R01 GM113246
6 · The paper itself

Abstract

Increased interest in the immune system's involvement in pathophysiological phenomena coupled with decreased DNA sequencing costs have led to an explosion of antibody and T cell receptor sequencing data collectively termed "adaptive immune receptor repertoire sequencing" (AIRR-seq or Rep-Seq). The AIRR Community has been actively working to standardize protocols, metadata, formats, APIs, and other guidelines to promote open and reproducible studies of the immune repertoire. In this paper, we describe the work of the AIRR Community's Data Representation Working Group to develop standardized data representations for storing and sharing annotated antibody and T cell receptor data. Our file format emphasizes ease-of-use, accessibility, scalability to large data sets, and a commitment to open and transparent science. It is composed of a tab-delimited format with a specific schema. Several popular repertoire analysis tools and data repositories already utilize this AIRR-seq data format. We hope that others will follow suit in the interest of promoting interoperable standards.

Indexed as

Base SequenceDatabase Management SystemsAdaptive ImmunityAntibodiesDatabases, GeneticDatasets as TopicHigh-Throughput Nucleotide SequencingHumansInformation DisseminationReceptors, Antigen, T-CellReceptors, ImmunologicResearch DesignAntibodiesReceptors, Antigen, T-CellReceptors, ImmunologicAIRR-seqantibodyB cellimmunoglobulinimmunologyrepertoireRep-SeqT cell

Identifiers

PMID30323809
PMCPMC6173121

What OpenQuestion holds

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LicenceCC BY
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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.