Evidence map›Paper›PMID 29163494›Full record

ArticleFrontiers in immunology2017

Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data.

Felix Breden, Eline T Luning Prak, Bjoern Peters, Florian Rubelt, Chaim A Schramm, Christian E Busse, Jason A Vander Heiden, Scott Christley, Syed Ahmad Chan Bukhari, Adrian Thorogood and 13 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Machine learning in AIRR diagnostics: Advances and applications.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  10. Article
  11. Expression Cloning of Antibodies from Single Human B Cells.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

4 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

23 authors.

Felix BredenDepartment of Biological Sciences, Simon Fraser University, Burnaby, BC, Canada.
Eline T Luning PrakDepartment of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Bjoern PetersLa Jolla Institute for Allergy and Immunology, La Jolla, CA, United States.
Florian RubeltDepartment of Microbiology and Immunology, Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, United States.
Chaim A SchrammVaccine Research Center, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, United States.
Christian E BusseDivision of B Cell Immunology, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany.
Jason A Vander HeidenDepartment of Neurology, Yale University School of Medicine, New Haven, CT, United States.
Scott ChristleyDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Syed Ahmad Chan BukhariDepartment of Pathology, Yale University School of Medicine, New Haven, CT, United States.
Adrian Thorogoodentre of Genomics and Policy, McGill University, Montreal, QC, Canada.
Frederick A Matsen IvPublic Health Sciences Division and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
Yariv WineDepartment of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv, Israel.
Uri LasersonDepartment of Genetics and Genome Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
David KlatzmannImmunology-Immunopathology-Immunotherapy (i3 & i2B), Sorbonne Université, Paris, France.
Daniel C DouekVaccine Research Center, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD, United States.
Marie-Paule LefrancIMGT, LIGM, Institut de Génétique Humaine IGH, CNRS, University of Montpellier, Montpellier, France.
Andrew M CollinsSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Kensington, NSW, Australia.
Tania BubelaFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
Steven H KleinsteinDepartment of Pathology, Yale University School of Medicine, New Haven, CT, United States.
Corey T WatsonDepartment of Biochemistry and Molecular Genetics, University of Louisville School of Medicine, Louisville, KY, United States.
Lindsay G CowellDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, United States.
Jamie K ScottFaculty of Health Sciences, Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada.
Thomas B KeplerDepartment of Microbiology, Boston University School of Medicine, Boston, MA, United States.

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
Host Genomic Factors in Infectious Disease Susceptibility ZIAAI005066 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI DOUEK, DANIEL CESAR · 2009 to 2025
$17.9M
T Cell Immune Responses To HIV And Other PathogensZIAAI005033 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI DOUEK, DANIEL CESAR · 2009 to 2025
$11.4M
The HIV ReservoirZIAAI005034 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI DOUEK, DANIEL CESAR · 2009 to 2025
$7.5M
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 P30 AI042853NIAID NIH HHS R01 AI097403NIAID NIH HHS R01 AI104739NIGMS NIH HHS R01 GM113246
6 · The paper itself

Abstract

High-throughput sequencing (HTS) of immunoglobulin (B-cell receptor, antibody) and T-cell receptor repertoires has increased dramatically since the technique was introduced in 2009 (1-3). This experimental approach explores the maturation of the adaptive immune system and its response to antigens, pathogens, and disease conditions in exquisite detail. It holds significant promise for diagnostic and therapy-guiding applications. New technology often spreads rapidly, sometimes more rapidly than the understanding of how to make the products of that technology reliable, reproducible, or usable by others. As complex technologies have developed, scientific communities have come together to adopt common standards, protocols, and policies for generating and sharing data sets, such as the MIAME protocols developed for microarray experiments. The Adaptive Immune Receptor Repertoire (AIRR) Community formed in 2015 to address similar issues for HTS data of immune repertoires. The purpose of this perspective is to provide an overview of the AIRR Community's founding principles and present the progress that the AIRR Community has made in developing standards of practice and data sharing protocols. Finally, and most important, we invite all interested parties to join this effort to facilitate sharing and use of these powerful data sets (join@airr-community.org).

Indexed as

antibodiesB-cell receptorscommunity standardsdata sharinghigh-throughput sequencingimmunogeneticsimmunoglobulinsT-cell receptors

Identifiers

PMID29163494
PMCPMC5671925

What OpenQuestion holds

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Registered trials

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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.