Evidence map›Paper›PMID 24829146›Full record

ReviewJournal of cell science2014

The TLR and IL-1 signalling network at a glance.

Philip Cohen

Abstract readReview
In one paragraph

Review in Journal of cell science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 1 pooled it
5.7field-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

120 citing papers in PubMed, 1 synthesis or guideline pooled it, 180 citations in OpenAlex.

  1. Pooled it
  2. Study on the Therapeutic Effects of Ginsenoside Rh2 in Asthma Improvement.International journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Scientifica · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

60 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

1 author at 1 institution in 1 country.

Philip CohenMRC Protein Phosphorylation and Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dundee DD1 5EH, UK p.cohen@dundee.ac.uk.
MRC Protein Phosphorylation and Ubiquitylation Unit · GB

Funding

Medical Research Council MC_EX_G0800765Medical Research Council MC_EX_UU_G0800765Medical Research Council MC_U127084348Medical Research Council MC_UU_12016/11Medical Research Council MR/K000985/1Wellcome Trust 100294
6 · The paper itself

Abstract

Toll-like receptors (TLRs) and the receptors for interleukin (IL)-1, IL-18 and IL-33 are required for defence against microbial pathogens but, if hyper-activated or not switched off efficiently, can cause tissue damage and inflammatory and autoimmune diseases. Understanding how the checks and balances in the system are integrated to fight infection without the network operating out of control will be crucial for the development of improved drugs to treat these diseases in the future. In this Cell Science at a Glance article and the accompanying poster, I provide a brief overview of how one of these intricate networks is controlled by the interplay of protein phosphorylation and protein ubiquitylation events, and the mechanisms in myeloid cells that restrict and terminate its activation to prevent inflammatory and autoimmune diseases. Finally, I suggest a few protein kinases that have been neglected as drug targets, but whose therapeutic potential should be explored in the light of recent advances in our understanding of their roles in the innate immune system.

Indexed as

Signal TransductionAnimalsAutoimmune DiseasesHumansImmunity, InnateInfectionsInterleukin-1Molecular Targeted TherapyProtein KinasesToll-Like ReceptorsInterleukin-1Protein KinasesToll-Like ReceptorsCREBInflammationInterleukinMyD88NF-κBToll-like receptor

Identifiers

PMID24829146
PMCPMC4038938
OpenAlexW2315844347

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.