Evidence map›Paper›PMID 26150657›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015

Estimating T-cell repertoire diversity: limitations of classical estimators and a new approach.

Daniel J Laydon, Charles R M Bangham, Becca Asquith

Open access · hybridAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

120 citing papers in PubMed, 1 synthesis or guideline pooled it, 219 citations in OpenAlex.

  1. Myocardial Immune Cells: The Basis of Cardiac Immunology.Journal of immunology (Baltimore, Md. : 1950) · 2023
    Pooled it
  2. Trial
  3. Analysis of the Whole CDR3 T Cell Receptor Repertoire after Hematopoietic Stem Cell Transplantation in 2 Clinical Cohorts.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2020
    Trial
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. General and individualized changes in T cell immunity during aging.Journal of immunology (Baltimore, Md. : 1950) · 2025
    Review
  19. Review
  20. Article

60 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

3 authors at 2 institutions in 2 countries.

Daniel J LaydonSection of Immunology, Wright-Fleming Institute, Imperial College School of Medicine, London W2 1PG, UK.ORCID http://orcid.org/0000-0003-4270-3321
Charles R M BanghamSection of Immunology, Wright-Fleming Institute, Imperial College School of Medicine, London W2 1PG, UK.
Becca AsquithSection of Immunology, Wright-Fleming Institute, Imperial College School of Medicine, London W2 1PG, UK b.asquith@imperial.ac.uk.ORCID http://orcid.org/0000-0002-5911-3160
Google (United States) · USImperial College London · GB

Funding

Medical Research Council G0601072Medical Research Council G1001052Medical Research Council J007439Medical Research Council K019090Medical Research Council MR/J007439/1Medical Research Council MR/K019090/1Wellcome Trust 100291Wellcome Trust 103865
6 · The paper itself

Abstract

A highly diverse T-cell receptor (TCR) repertoire is a fundamental property of an effective immune system, and is associated with efficient control of viral infections and other pathogens. However, direct measurement of total TCR diversity is impossible. The diversity is high and the frequency distribution of individual TCRs is heavily skewed; the diversity therefore cannot be captured in a blood sample. Consequently, estimators of the total number of TCR clonotypes that are present in the individual, in addition to those observed, are essential. This is analogous to the 'unseen species problem' in ecology. We review the diversity (species richness) estimators that have been applied to T-cell repertoires and the methods used to validate these estimators. We show that existing approaches have significant shortcomings, and frequently underestimate true TCR diversity. We highlight our recently developed estimator, DivE, which can accurately estimate diversity across a range of immunological and biological systems.

Indexed as

AnimalsGene Rearrangement, T-LymphocyteGenetic VariationHost-Pathogen InteractionsHumansLymphocyte CountModels, GeneticModels, ImmunologicalReceptors, Antigen, T-CellStatistics, NonparametricT-LymphocytesReceptors, Antigen, T-Celldiversityspecies richnessT-cell receptor repertoire

Identifiers

PMID26150657
PMCPMC4528489
OpenAlexW2173617309

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.