Evidence map›Paper›PMID 24721704›Full record

ArticleJournal of leukocyte biology2014

Analysis of the transcriptional networks underpinning the activation of murine macrophages by inflammatory mediators.

Sobia Raza, Mark W Barnett, Zohar Barnett-Itzhaki, Ido Amit, David A Hume, Tom C Freeman

Open access · hybridAbstract read
In one paragraph

Article in Journal of leukocyte biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

32 citing papers in PubMed, 53 citations in OpenAlex.

  1. Review
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  14. Proteome Profiling of PMJ2-R and Primary Peritoneal Macrophages.International journal of molecular sciences · 2021
    Article
  15. Article
  16. Review
  17. High Dose IFN-Frontiers in immunology · 2021
    Article
  18. Article
  19. Type-I interferons in atherosclerosis.The Journal of experimental medicine · 2020
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Sobia RazaThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Scotland, United Kingdom; and.
Mark W BarnettThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Scotland, United Kingdom; and.
Zohar Barnett-ItzhakiDepartment of Immunology, Weizmann Institute of Science, Rehovot, Israel.
Ido AmitDepartment of Immunology, Weizmann Institute of Science, Rehovot, Israel.
David A HumeThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Scotland, United Kingdom; and.
Tom C FreemanThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Scotland, United Kingdom; and tom.freeman@roslin.ed.ac.uk.
Roslin Institute · GBWeizmann Institute of Science · ILUniversity of Edinburgh · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F003722/1Biotechnology and Biological Sciences Research Council BB/G022607/1Biotechnology and Biological Sciences Research Council BB/I001107/1Biotechnology and Biological Sciences Research Council BBS/E/D/20211552Biotechnology and Biological Sciences Research Council BBS/E/D/20251969Wellcome Trust
6 · The paper itself

Abstract

Macrophages respond to the TLR4 agonist LPS with a sequential transcriptional cascade controlled by a complex regulatory network of signaling pathways and transcription factors. At least two distinct pathways are currently known to be engaged by TLR4 and are distinguished by their dependence on the adaptor molecule MyD88. We have used gene expression microarrays to define the effects of each of three variables--LPS dose, LPS versus IFN-β and -γ, and genetic background--on the transcriptional response of mouse BMDMs. Analysis of correlation networks generated from the data has identified subnetworks or modules within the macrophage transcriptional network that are activated selectively by these variables. We have identified mouse strain-specific signatures, including a module enriched for SLE susceptibility candidates. In the modules of genes unique to different treatments, we found a module of genes induced by type-I IFN but not by LPS treatment, suggesting another layer of complexity in the LPS-TLR4 signaling feedback control. We also observe that the activation of the complement system, in common with the known activation of MHC class 2 genes, is reliant on IFN-γ signaling. Taken together, these data further highlight the exquisite nature of the regulatory systems that control macrophage activation, their likely relevance to disease resistance/susceptibility, and the appropriate response of these cells to proinflammatory stimuli.

Indexed as

AnimalsGene Regulatory NetworksHistocompatibility Antigens Class IIInflammation MediatorsInterferon-betaInterferon-gammaLipopolysaccharidesMacrophage ActivationMacrophagesMaleMiceMice, Inbred BALB CMyeloid Differentiation Factor 88Signal TransductionToll-Like Receptor 4Transcription, GeneticHistocompatibility Antigens Class IIInflammation MediatorsInterferon-betaInterferon-gammaLipopolysaccharidesMyd88 protein, mouseMyeloid Differentiation Factor 88Tlr4 protein, mouseToll-Like Receptor 4gene expressioninterferon-βinterferon-γLPS

Identifiers

PMID24721704
PMCPMC4378362
OpenAlexW2170802476

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.