Evidence map›Paper›PMID 24348479›Full record

ReviewFrontiers in immunology2013

The past, present, and future of immune repertoire biology - the rise of next-generation repertoire analysis.

Adrien Six, Maria Encarnita Mariotti-Ferrandiz, Wahiba Chaara, Susana Magadan, Hang-Phuong Pham, Marie-Paule Lefranc, Thierry Mora, Véronique Thomas-Vaslin, Aleksandra M Walczak, Pierre Boudinot

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

104 citing papers in PubMed, 1 synthesis or guideline pooled it, 179 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. IMGTAntibodies (Basel, Switzerland) · 2026
    Review
  6. AI-Driven BCR Modeling for Precision Immunology.International journal of molecular sciences · 2026
    Review
  7. Review
  8. Dynamics of memory B cells and plasmablasts in healthy individuals.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. AnalyzAIRR: A user-friendly guided workflow for AIRR data analysis.Immunoinformatics (Amsterdam, Netherlands) · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

44 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

10 authors at 2 institutions in 2 countries.

Adrien SixUPMC University Paris 06, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; CNRS, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, CIC-BTi Biotherapy , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, Département Hospitalo-Universitaire (DHU), Inflammation-Immunopathology-Biotherapy (i2B) , Paris , France.
Maria Encarnita Mariotti-FerrandizUPMC University Paris 06, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; CNRS, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, Département Hospitalo-Universitaire (DHU), Inflammation-Immunopathology-Biotherapy (i2B) , Paris , France.
Wahiba ChaaraUPMC University Paris 06, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; CNRS, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, CIC-BTi Biotherapy , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, Département Hospitalo-Universitaire (DHU), Inflammation-Immunopathology-Biotherapy (i2B) , Paris , France.
Susana MagadanInstitut National de la Recherche Agronomique, Unité de Virologie et Immunologie Moléculaires , Jouy-en-Josas , France.
Hang-Phuong PhamUPMC University Paris 06, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; CNRS, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France.
Marie-Paule LefrancIMGT®, The International ImMunoGeneTics Information System®, Institut de Génétique Humaine, UPR CNRS 1142, Université Montpellier 2 , Montpellier , France.
Thierry MoraLaboratoire de Physique Statistique, UMR8550, CNRS and Ecole Normale Supérieure , Paris , France.
Véronique Thomas-VaslinUPMC University Paris 06, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; CNRS, UMR 7211, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; INSERM, UMR_S 959, Immunology-Immunopathology-Immunotherapy (I3) , Paris , France ; AP-HP, Hôpital Pitié-Salpêtrière, Département Hospitalo-Universitaire (DHU), Inflammation-Immunopathology-Biotherapy (i2B) , Paris , France.
Aleksandra M WalczakLaboratoire de Physique Théorique, UMR8549, CNRS and Ecole Normale Supérieure , Paris , France.
Pierre BoudinotInstitut National de la Recherche Agronomique, Unité de Virologie et Immunologie Moléculaires , Jouy-en-Josas , France.
Centre National de la Recherche Scientifique · FRVirologie et Immunologie Moléculaires · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T and B cell repertoires are collections of lymphocytes, each characterized by its antigen-specific receptor. We review here classical technologies and analysis strategies developed to assess immunoglobulin (IG) and T cell receptor (TR) repertoire diversity, and describe recent advances in the field. First, we describe the broad range of available methodological tools developed in the past decades, each of which answering different questions and showing complementarity for progressive identification of the level of repertoire alterations: global overview of the diversity by flow cytometry, IG repertoire descriptions at the protein level for the identification of IG reactivities, IG/TR CDR3 spectratyping strategies, and related molecular quantification or dynamics of T/B cell differentiation. Additionally, we introduce the recent technological advances in molecular biology tools allowing deeper analysis of IG/TR diversity by next-generation sequencing (NGS), offering systematic and comprehensive sequencing of IG/TR transcripts in a short amount of time. NGS provides several angles of analysis such as clonotype frequency, CDR3 diversity, CDR3 sequence analysis, V allele identification with a quantitative dimension, therefore requiring high-throughput analysis tools development. In this line, we discuss the recent efforts made for nomenclature standardization and ontology development. We then present the variety of available statistical analysis and modeling approaches developed with regards to the various levels of diversity analysis, and reveal the increasing sophistication of those modeling approaches. To conclude, we provide some examples of recent mathematical modeling strategies and perspectives that illustrate the active rise of a "next-generation" of repertoire analysis.

Indexed as

B cell repertoirediversity analysisgene nomenclatureimmune receptorsmodelingnext-generation sequencingstatisticsT cell repertoire

Identifiers

PMID24348479
PMCPMC3841818
OpenAlexW2144420540

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.