Evidence map›Paper›PMID 24831346›Full record

ReviewCurrent topics in microbiology and immunology2014

Helper T cell plasticity: impact of extrinsic and intrinsic signals on transcriptomes and epigenomes.

Michael Bonelli, Han-Yu Shih, Kiyoshi Hirahara, Kentner Singelton, Arian Laurence, Amanda Poholek, Tim Hand, Yohei Mikami, Golnaz Vahedi, Yuka Kanno and 1 more

Abstract readReview
In one paragraph

Review in Current topics in microbiology and immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Human CCR6bioRxiv : the preprint server for biology · 2023
    Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Evasion of Immunological Memory byFrontiers in immunology · 2021
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Molecular mechanisms underlying Th1-like Treg generation and function.Cellular and molecular life sciences : CMLS · 2017
    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

11 authors.

Michael BonelliMolecular Immunology and Inflammation Branch, National Institutes of Arthritis, and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.
Han-Yu Shih
Kiyoshi Hirahara
Kentner Singelton
Arian Laurence
Amanda Poholek
Tim Hand
Yohei Mikami
Golnaz Vahedi
Yuka Kanno
John J O'Shea

Funding

Stat transcription factors in immunoregulation and autoimmune diseaseZIAAR041159 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI O'SHEA, JOHN · 2009 to 2025
$49.3M
Intramural NIH HHS ZIA AR041159
6 · The paper itself

Abstract

CD4(+) helper T cells are crucial for autoimmune and infectious diseases; however, the recognition of the many, diverse fates available continues unabated. Precisely what controls specification of helper T cells and preserves phenotypic commitment is currently intensively investigated. In this review, we will discuss the major factors that impact helper T cell fate choice, ranging from cytokines and the microbiome to metabolic control and epigenetic regulation. We will also discuss the technological advances along with the attendant challenges presented by "big data," which allow the understanding of these processes on comprehensive scales.

Indexed as

Epigenesis, GeneticTranscriptomeAnimalsCell DifferentiationHumansSignal TransductionT-Lymphocytes, Helper-InducerTranscription FactorsTranscription Factors

Identifiers

PMID24831346
PMCPMC4200396

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.