Evidence map›Paper›PMID 27009492›Full record

ArticleJournal of immunology (Baltimore, Md. : 1950)2016

Developmental Progression and Interrelationship of Central and Effector Regulatory T Cell Subsets.

Kevin H Toomer, Xiaomei Yuan, Jing Yang, Michael J Dee, Aixin Yu, Thomas R Malek

Abstract read
In one paragraph

Article in Journal of immunology (Baltimore, Md. : 1950), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. AFrontiers in immunology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Bone Morphogenetic Proteins Shape TFrontiers in immunology · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Very Low Numbers of CD4Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2018
    Article
  20. Review
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.

Kevin H ToomerDepartment of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, FL 33136; and.
Xiaomei YuanDepartment of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, FL 33136; and.
Jing YangDepartment of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, FL 33136; and.
Michael J DeeDepartment of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, FL 33136; and.ORCID 0000-0002-3673-5370
Aixin YuDepartment of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, FL 33136; and.ORCID 0000-0002-0557-8077
Thomas R MalekDepartment of Microbiology and Immunology, Miller School of Medicine, University of Miami, Miami, FL 33136; and Diabetes Research Institute, Miller School of Medicine, University of Miami, Miami, FL 33136 tmalek@med.miami.edu.

Funding

The immunobiology of CD4+ CD25+ T regulatory cellsR01AI055815 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MALEK, THOMAS R · 2004 to 2015
$3.5M
IL-2-dependent mechanisms in T1DR01DK093866 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MALEK, THOMAS R · 2012 to 2015
$1.3M
IL-2 Dependent Processes in Regulatory T cellsF31AI124629 · NIAID · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI TOOMER, KEVIN HENRY · 2016 to 2020
$227k
NIAID NIH HHS F31 AI124629NIAID NIH HHS R01 AI055815NIDDK NIH HHS R01 DK093866
6 · The paper itself

Abstract

Resting central Tregs (cTregs) and activated effector Tregs (eTregs) are required for self-tolerance, but the heterogeneity and relationships within and between phenotypically distinct subsets of cTregs and eTregs are poorly understood. By extensive immune profiling and deep sequencing of TCR-β V regions, two subsets of cTregs, based on expression of Ly-6C, and three subsets of eTregs, based on distinctive expression of CD62L, CD69, and CD103, were identified. Ly-6C(+) cTregs exhibited lower basal activation, expressed on average lower affinity TCRs, and less efficiently developed into eTregs when compared with Ly-6C(-) cTregs. The dominant TCR Vβs of Ly-6C(+) cTregs were shared by eTregs at a low frequency. A single TCR clonotype was also identified that was largely restricted to Ly-6C(+) cTregs, even under conditions that promoted the development of eTregs. Collectively, these findings indicate that some Ly-6C(+) cTregs may persist as a lymphoid-specific subset, with minimal potential to develop into highly activated eTregs, whereas other cTregs readily develop into eTregs. In contrast, subsets of CD62L(lo) eTregs showed higher clonal expansion and were more highly interrelated than cTreg subsets based on their TCR-β repertoires, but exhibited varied immune profiles. The CD62L(lo) CD69(-) CD103(-) eTreg subset displayed properties of a transitional intermediate between cTregs and more activated eTreg subsets. Thus, eTreg subsets appear to exhibit substantial flexibility, most likely in response to environmental cues, to adopt defined immune profiles that are expected to optimize suppression of autoreactive T cells.

Indexed as

Genes, T-Cell Receptor betaSelf ToleranceAnimalsAntigens, CDAntigens, Differentiation, T-LymphocyteAntigens, LyCD69 AntigensHigh-Throughput Nucleotide SequencingIntegrin alpha ChainsLectins, C-TypeL-SelectinMiceT-Lymphocytes, RegulatoryT-Lymphocyte Subsetsalpha E integrinsAntigens, CDAntigens, Differentiation, T-LymphocyteAntigens, LyCD69 AntigensIntegrin alpha ChainsLectins, C-TypeL-SelectinLy-6C antigen, mouse

Identifiers

PMID27009492
PMCPMC4868642

What OpenQuestion holds

Textmetadata
LicenceTDM
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.