Evidence map›Paper›PMID 25566265›Full record

ReviewFrontiers in immunology2014

Mixing Signals: Molecular Turn Ons and Turn Offs for Innate γδ T-Cells.

Vasileios Bekiaris, John R Šedý, Carl F Ware

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
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

3 authors at 2 institutions in 2 countries.

Vasileios BekiarisInfectious and Inflammatory Disease Center, Sanford-Burnham Medical Research Institute , La Jolla, CA , USA.
John R ŠedýInfectious and Inflammatory Disease Center, Sanford-Burnham Medical Research Institute , La Jolla, CA , USA.
Carl F WareInfectious and Inflammatory Disease Center, Sanford-Burnham Medical Research Institute , La Jolla, CA , USA.
Sanford Burnham Prebys Medical Discovery Institute · USTechnical University of Denmark · DK

Funding

Anti-herpesvirus Signaling by LTalphabeta/LIGHT CytokinesR01AI048073 · NIAID · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI WARE, CARL F · 2001 to 2016
$7.0M
HVEM-BTLA system in InflammationR01AI067890 · NIAID · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI WARE, CARL F · 2007 to 2016
$4.3M
HVEM-BTLA Pathway in LymphomaR01CA164679 · NCI · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI WARE, CARL F · 2012 to 2016
$2.0M
American Heart Association-American Stroke Association 14BGIA20380277NCI NIH HHS R01 CA164679NIAID NIH HHS R01 AI048073NIAID NIH HHS R01 AI067890
6 · The paper itself

Abstract

Lymphocytes of the gamma delta (γδ) T-cell lineage are evolutionary conserved and although they express rearranged antigen-specific receptors, a large proportion respond as innate effectors. γδ T-cells are poised to combat infection by responding rapidly to cytokine stimuli similar to innate lymphoid cells. This potential to initiate strong inflammatory responses necessitates that inhibitory signals are balanced with activation signals. Here, we discuss some of the key mechanisms that regulate the development, activation, and inhibition of innate γδ T-cells in light of recent evidence that the inhibitory immunoglobulin-superfamily member B and T lymphocyte attenuator restricts their differentiation and effector function.

Indexed as

BTLAdermatitisIL-7lymphotoxinRORγtγδ T-cell

Identifiers

PMID25566265
PMCPMC4270187
OpenAlexW2005494564

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.