Evidence map›Paper›PMID 23278842›Full record

ReviewImmunology2013

Roles of repressive epigenetic machinery in lineage decision of T cells.

Taku Naito, Ichiro Taniuchi

Open access · greenAbstract readReview
In one paragraph

Review in Immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Methylation of T and B Lymphocytes in Autoimmune Rheumatic Diseases.Clinical reviews in allergy & immunology · 2024
    Review
  2. Early Prediction of Asthma.Journal of clinical medicine · 2023
    Review
  3. Epigenetic regulation of immune function in asthma.The Journal of allergy and clinical immunology · 2022
    Review
  4. Article
  5. Article
  6. Immunomethylomics: A Novel Cancer Risk Prediction Tool.Annals of the American Thoracic Society · 2018
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

2 authors at 1 institution in 1 country.

Taku NaitoLaboratory for Transcriptional Regulation, Research Centre for Allergy and Immunology, RIKEN, Yokohama, Japan. t.naito@rcai.riken.jp
Ichiro Taniuchi
RIKEN Center for Integrative Medical Sciences · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation and histone modifications are central to epigenetic gene regulation, which has been shown to play a crucial role in development. Epigenetics has often been discussed in the context of the maintenance of cell identity because of the heritable nature of gene expression status. Indeed, crucial roles of the epigenetic machinery in establishment and maintenance of particular lineages during early development have been well documented. However, unexpected observation of a developmental plasticity retained in mature T lymphocytes, in particular in CD4(+) T-cell subsets, by recent studies is accelerating studies that focus on roles of each epigenetic pathway in cell fate decisions of T lymphocytes. Here, we focus on the repressive epigenetic machinery, i.e. DNA methylation, histone deacetylation, H3K9 methylation and Polycomb repressive complexes, and briefly review the studies examining the role of these mechanisms during T-lymphocyte differentiation. We also discuss the current challenges faced when analysing the function of the epigenetic machinery and potential directions to overcome the problems.

Indexed as

Epigenetic RepressionAnimalsCell DifferentiationCell LineageDNA MethylationHistonesHumansMethylationModels, GeneticT-Lymphocyte SubsetsHistones

Identifiers

PMID23278842
PMCPMC3647180
OpenAlexW1972915098

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.