Evidence map›Paper›PMID 25123275›Full record

ReviewImmunological reviews2014

Transcriptional and epigenetic networks of helper T and innate lymphoid cells.

Han-Yu Shih, Giuseppe Sciumè, Amanda C Poholek, Golnaz Vahedi, Kiyoshi Hirahara, Alejandro V Villarino, Michael Bonelli, Remy Bosselut, Yuka Kanno, Stefan A Muljo and 1 more

Abstract readReview
In one paragraph

Review in Immunological reviews, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
–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

52 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Transcriptional control of ILC identity.Frontiers in immunology · 2023
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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

11 authors.

Han-Yu ShihMolecular Immunology and Inflammation Branch, National Institute of Arthritis, and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD, USA.
Giuseppe Sciumè
Amanda C Poholek
Golnaz Vahedi
Kiyoshi Hirahara
Alejandro V Villarino
Michael Bonelli
Remy Bosselut
Yuka Kanno
Stefan A Muljo
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
Genetic Analysis of T-cell DifferentiationZIABC010671 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BOSSELUT, REMY · 2009 to 2025
$34.3M
Roles of non-Coding RNAs in Programming Lymphocyte Differentiation and FunctionZIAAI001131 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI MULJO, STEFAN · 2010 to 2025
$11.0M
Cytokine Signaling and Primary ImmunodeficiencyZIAAR041167 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI O'SHEA, JOHN · 2009 to 2019
$2.3M
Intramural NIH HHS ZIA AR041167
6 · The paper itself

Abstract

The discovery of the specification of CD4(+) helper T cells to discrete effector 'lineages' represented a watershed event in conceptualizing mechanisms of host defense and immunoregulation. However, our appreciation for the actual complexity of helper T-cell subsets continues unabated. Just as the Sami language of Scandinavia has 1000 different words for reindeer, immunologists recognize the range of fates available for a CD4(+) T cell is numerous and may be underestimated. Added to the crowded scene for helper T-cell subsets is the continuously growing family of innate lymphoid cells (ILCs), endowed with common effector responses and the previously defined 'master regulators' for CD4(+) helper T-cell subsets are also shared by ILC subsets. Within the context of this extraordinary complexity are concomitant advances in the understanding of transcriptomes and epigenomes. So what do terms like 'lineage commitment' and helper T-cell 'specification' mean in the early 21st century? How do we put all of this together in a coherent conceptual framework? It would be arrogant to assume that we have a sophisticated enough understanding to seriously answer these questions. Instead, we review the current status of the flexibility of helper T-cell responses in relation to their genetic regulatory networks and epigenetic landscapes. Recent data have provided major surprises as to what master regulators can or cannot do, how they interact with other transcription factors and impact global genome-wide changes, and how all these factors come together to influence helper cell function.

Indexed as

Gene Regulatory NetworksAnimalsCell DifferentiationCell LineageEpigenesis, GeneticHumansImmunity, CellularImmunity, InnateImmunomodulationT-Lymphocytes, Helper-InducerT-Lymphocyte SubsetsTranscriptomecell identityepigeneticsgene regulationILCsT cellstranscription factors

Identifiers

PMID25123275
PMCPMC4321863

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.