Evidence map›Paper›PMID 24610777›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Interindividual variation in human T regulatory cells.

Alessandra Ferraro, Anna Morena D'Alise, Towfique Raj, Natasha Asinovski, Roxanne Phillips, Ayla Ergun, Joseph M Replogle, Angelina Bernier, Lori Laffel, Barbara E Stranger and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
5.6field-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

84 citing papers in PubMed, 1 synthesis or guideline pooled it, 125 citations in OpenAlex.

  1. Type 2 Diabetes: How Much of an Autoimmune Disease?Frontiers in endocrinology · 2019
    Pooled it
  2. Trial
  3. Trial
  4. Review
  5. Article
  6. Article
  7. CD25Frontiers in immunology · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. An autoimmune transcriptional circuit drives FOXP3Science translational medicine · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Identification of human exTNature immunology · 2023
    Article
  19. Article
  20. Article

24 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

13 authors at 5 institutions in 1 country.

Alessandra FerraroDivision of Immunology, Department of Microbiology and Immunobiology, Harvard Medical School, Boston, MA 02115.
Anna Morena D'Alise
Towfique Raj
Natasha Asinovski
Roxanne Phillips
Ayla Ergun
Joseph M Replogle
Angelina Bernier
Lori Laffel
Barbara E Stranger
Philip L De Jager
Diane Mathis
Christophe Benoist
Harvard University · USJoslin Diabetes Center · USBrigham and Women's Hospital · USBroad Institute · USUniversity of Chicago · US

Funding

GLYCOSYLATION OF OVALBUMIN EXPRESSED IN YEASTF32GM009308 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SHEARES, BRADLEY T · 1985 to 1985
–
NIGMS NIH HHS RC2 GM09308
6 · The paper itself

Abstract

FOXP3(+) regulatory T (Treg) cells enforce immune self-tolerance and homeostasis, and variation in some aspects of Treg function may contribute to human autoimmune diseases. Here, we analyzed population-level Treg variability by performing genome-wide expression profiling of CD4(+) Treg and conventional CD4(+) T (Tconv) cells from 168 donors, healthy or with established type-1 diabetes (T1D) or type-2 diabetes (T2D), in relation to genetic and immunologic screening. There was a range of variability in Treg signature transcripts, some almost invariant, others more variable, with more extensive variability for genes that control effector function (ENTPD1, FCRL1) than for lineage-specification factors like FOXP3 or IKZF2. Network analysis of Treg signature genes identified coregulated clusters that respond similarly to genetic and environmental variation in Treg and Tconv cells, denoting qualitative differences in otherwise shared regulatory circuits whereas other clusters are coregulated in Treg, but not Tconv, cells, suggesting Treg-specific regulation of genes like CTLA4 or DUSP4. Dense genotyping identified 110 local genetic variants (cis-expression quantitative trait loci), some of which are specifically active in Treg, but not Tconv, cells. The Treg signature became sharper with age and with increasing body-mass index, suggesting a tuning of Treg function with repertoire selection and/or chronic inflammation. Some Treg signature transcripts correlated with FOXP3 mRNA and/or protein, suggesting transcriptional or posttranslational regulatory relationships. Although no single transcript showed significant association to diabetes, overall expression of the Treg signature was subtly perturbed in T1D, but not T2D, patients.

Indexed as

Cell LineageDiabetes Mellitus, Type 1Gene Expression ProfilingHumansRNA, MessengerT-Lymphocytes, RegulatoryRNA, Messengerimmunoregulationsuppression

Identifiers

PMID24610777
PMCPMC3970507
OpenAlexW2024691638

What OpenQuestion holds

Textmetadata
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.