Evidence map›Paper›PMID 26795134›Full record

ReviewTrends in immunology2016

Re-examining the Nature and Function of Self-Reactive T cells.

David M Richards, Bruno Kyewski, Markus Feuerer

Abstract readReview
In one paragraph

Review in Trends in immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Review
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  9. Central Tolerance or Central Adaptation?Scandinavian journal of immunology · 2025
    Article
  10. Article
  11. Review
  12. Review
  13. Emerging strategies for nanomedicine in autoimmunity.Advanced drug delivery reviews · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
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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.

David M RichardsImmune Tolerance, Tumor Immunology Program, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; Current address: Immunology Department, Apogenix GmbH, Im Neuenheimer Feld 584, 69120 Heidelberg, Germany.
Bruno KyewskiDevelopmental Immunology, Tumor Immunology Program, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Markus FeuererImmune Tolerance, Tumor Immunology Program, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany. Electronic address: m.feuerer@dkfz-heidelberg.de.

Funding

European Research Council 648145
6 · The paper itself

Abstract

Recent studies have leveraged MHC tetramer and TCR sequencing approaches towards a more precise characterization of the peripheral T cell repertoire, providing important insight into both the contribution of self-reactive T cells to the overall repertoire and their function. The peripheral T cell repertoire of healthy individuals contains a high frequency of diverse, self-reactive T cells. Furthermore, self-reactive T cells can perform essential beneficial physiological functions. We review these recent findings here, and discuss their implications to the current understanding of peripheral tolerance and the role of self-reactive T cells in autoimmune disease. We outline gaps in understanding, and argue that an important step forward is to revise the definition of self-reactive T cells to incorporate new concepts regarding the nature and physiological functions of different populations of T cells capable of recognizing self-antigens.

Indexed as

AnimalsAutoantigensAutoimmune DiseasesHumansPeripheral ToleranceReceptors, Antigen, T-CellT-LymphocytesT-Lymphocyte SubsetsAutoantigensReceptors, Antigen, T-Cell

Identifiers

PMID26795134
PMCPMC7611850

What OpenQuestion holds

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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.