Evidence map›Paper›PMID 30483250›Full record

ReviewFrontiers in immunology2018

Regulatory Networks Involving STATs, IRFs, and NFκB in Inflammation.

Ekaterini Platanitis, Thomas Decker

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 170 papers.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

170 citing papers in PubMed, 222 citations in OpenAlex.

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  19. Targeting KRAS Inhibitor-Resistant Pancreatic Cancer with an MUC1-C Antibody-Drug Conjugate.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  20. Article

110 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

2 authors at 1 institution in 1 country.

Ekaterini PlatanitisMax F. Perutz Laboratories, Department of Microbiology, Immunobiology and Genetics, University of Vienna, Vienna, Austria.
Thomas DeckerMax F. Perutz Laboratories, Department of Microbiology, Immunobiology and Genetics, University of Vienna, Vienna, Austria.
Max Perutz Labs · AT

Funding

Austrian Science Fund FWF P 25186Austrian Science Fund FWF P 30992Austrian Science Fund FWF W 1261
6 · The paper itself

Abstract

Cells engaging in inflammation undergo drastic changes of their transcriptomes. In order to tailor these alterations in gene expression to the requirements of the inflammatory process, tight and coordinate regulation of gene expression by environmental cues, microbial or danger-associated molecules or cytokines, are mandatory. The transcriptional response is set off by signal-regulated transcription factors (SRTFs) at the receiving end of pathways originating at pattern recognition- and cytokine receptors. These interact with a genome that has been set for an appropriate response by prior activity of pioneer or lineage determining transcription factors (LDTFs). The same types of transcription factors are also critical determinants of the changes in chromatin landscapes and transcriptomes that specify potential consequences of inflammation: tissue repair, training, and tolerance. Here we focus on the role of three families of SRTFs in inflammation and its sequels: signal transducers and activators of transcription (STATs), interferon regulatory factors (IRFs), and nuclear factor κB (NFκB). We describe recent findings about their interactions and about their networking with LDTFs. Our aim is to provide a snapshot of a highly dynamic research area.

Indexed as

AnimalsGene Regulatory NetworksHumansInflammationInterferon Regulatory FactorsNF-kappa BSignal TransductionSTAT1 Transcription FactorTranscriptomeInterferon Regulatory FactorsNF-kappa BSTAT1 Transcription FactorchromatinepigeneticinflammationIRFmacrophageNFκBSTATtranscription

Identifiers

PMID30483250
PMCPMC6242948
OpenAlexW2901824420

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.