Evidence map›Paper›PMID 28416602›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2017

Antigen Receptor Galaxy: A User-Friendly, Web-Based Tool for Analysis and Visualization of T and B Cell Receptor Repertoire Data.

Hanna IJspeert, Pauline A van Schouwenburg, David van Zessen, Ingrid Pico-Knijnenburg, Andrew P Stubbs, Mirjam van der Burg

Abstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Neonatal CD19Frontiers in immunology · 2026
    Article
  4. Review
  5. Complement C3d enables cell-mediated immunity capable of distinguishing spontaneously transformed from nontransformed cells.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Article
  7. Human IgMInternational journal of molecular sciences · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Methods for sequence and structural analysis of B and T cell receptor repertoires.Computational and structural biotechnology journal · 2020
    Review
  20. Teleost IgDCell reports · 2019
    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

6 authors.

Hanna IJspeertDepartment of Immunology, Erasmus University Medical Center, 3015 CN Rotterdam, the Netherlands; and.
Pauline A van SchouwenburgDepartment of Immunology, Erasmus University Medical Center, 3015 CN Rotterdam, the Netherlands; and.ORCID 0000-0003-2779-1415
David van ZessenDepartment of Immunology, Erasmus University Medical Center, 3015 CN Rotterdam, the Netherlands; and.ORCID 0000-0002-9825-3799
Ingrid Pico-KnijnenburgDepartment of Immunology, Erasmus University Medical Center, 3015 CN Rotterdam, the Netherlands; and.
Andrew P StubbsDepartment of Bioinformatics, Erasmus University Medical Center, 3015 CE Rotterdam, the Netherlands m.vanderburg@erasmusmc.nl a.stubbs@erasmusmc.nl.ORCID 0000-0001-9817-9982
Mirjam van der BurgDepartment of Immunology, Erasmus University Medical Center, 3015 CN Rotterdam, the Netherlands; and m.vanderburg@erasmusmc.nl a.stubbs@erasmusmc.nl.ORCID 0000-0002-1510-3104

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antigen Receptor Galaxy (ARGalaxy) is a Web-based tool for analyses and visualization of TCR and BCR sequencing data of 13 species. ARGalaxy consists of four parts: the demultiplex tool, the international ImMunoGeneTics information system (IMGT) concatenate tool, the immune repertoire pipeline, and the somatic hypermutation (SHM) and class switch recombination (CSR) pipeline. Together they allow the analysis of all different aspects of the immune repertoire. All pipelines can be run independently or combined, depending on the available data and the question of interest. The demultiplex tool allows data trimming and demultiplexing, whereas with the concatenate tool multiple IMGT/HighV-QUEST output files can be merged into a single file. The immune repertoire pipeline is an extended version of our previously published ImmunoGlobulin Galaxy (IGGalaxy) virtual machine that was developed to visualize V(D)J gene usage. It allows analysis of both BCR and TCR rearrangements, visualizes CDR3 characteristics (length and amino acid usage) and junction characteristics, and calculates the diversity of the immune repertoire. Finally, ARGalaxy includes the newly developed SHM and CSR pipeline to analyze SHM and/or CSR in BCR rearrangements. It analyzes the frequency and patterns of SHM, Ag selection (including BASELINe), clonality (Change-O), and CSR. The functionality of the ARGalaxy tool is illustrated in several clinical examples of patients with primary immunodeficiencies. In conclusion, ARGalaxy is a novel tool for the analysis of the complete immune repertoire, which is applicable to many patient groups with disturbances in the immune repertoire such as autoimmune diseases, allergy, and leukemia, but it can also be used to address basic research questions in repertoire formation and selection.

Indexed as

SoftwareComputational BiologyHumansInternetReceptors, Antigen, B-CellReceptors, Antigen, T-CellSomatic Hypermutation, ImmunoglobulinReceptors, Antigen, B-CellReceptors, Antigen, T-Cell

Identifiers

PMID28416602
PMCPMC5421304

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.