Evidence map›Paper›PMID 25274725›Full record

ArticleGenes & development2014

Network dynamics determine the autocrine and paracrine signaling functions of TNF.

Andrew B Caldwell, Zhang Cheng, Jesse D Vargas, Harry A Birnbaum, Alexander Hoffmann

Open access · diamondAbstract read
In one paragraph

Article in Genes & development, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
–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

67 citing papers in PubMed, 101 citations in OpenAlex.

  1. Article
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  6. Review
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  12. The anti-inflammatory effect of metformin: The molecular targets.Genes to cells : devoted to molecular & cellular mechanisms · 2024
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Inflammation and autoimmune myasthenia gravis.Frontiers in immunology · 2023
    Review
  19. Article
  20. Article

7 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

5 authors at 3 institutions in 1 country.

Andrew B CaldwellSignaling Systems Laboratory, Department of Chemistry and Biochemistry, and San Diego Center for Systems Biology, University of California at San Diego, La Jolla, California 92093, USA;
Zhang ChengSignaling Systems Laboratory, Department of Chemistry and Biochemistry, and San Diego Center for Systems Biology, University of California at San Diego, La Jolla, California 92093, USA; Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, University of California at Los Angeles, Los Angeles, California 90025, USA.
Jesse D VargasSignaling Systems Laboratory, Department of Chemistry and Biochemistry, and San Diego Center for Systems Biology, University of California at San Diego, La Jolla, California 92093, USA; Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, University of California at Los Angeles, Los Angeles, California 90025, USA.
Harry A BirnbaumSignaling Systems Laboratory, Department of Chemistry and Biochemistry, and San Diego Center for Systems Biology, University of California at San Diego, La Jolla, California 92093, USA; Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, University of California at Los Angeles, Los Angeles, California 90025, USA.
Alexander HoffmannSignaling Systems Laboratory, Department of Chemistry and Biochemistry, and San Diego Center for Systems Biology, University of California at San Diego, La Jolla, California 92093, USA; Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, University of California at Los Angeles, Los Angeles, California 90025, USA ahoffmann@ucla.edu.
Quantitative BioSciences · USUniversity of California, San Diego · USCenter for Systems Biology · US

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2010 to 2018
$23.3M
MOLECULAR BIOPHYSICS TRAINING PROGRAMT32GM008326 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KOMIVES, ELIZABETH A. · 1989 to 2020
$7.5M
Regulation of signaling via the lkB-NF-kB interactionR01GM071573 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HOFFMANN, ALEXANDER · 2005 to 2013
$2.2M
NIGMS NIH HHS 5 T32 GM008326NIGMS NIH HHS P50 GM085764NIGMS NIH HHS R01 GM071573NIGMS NIH HHS T32 GM008326
6 · The paper itself

Abstract

A hallmark of the inflammatory response to pathogen exposure is the production of tumor necrosis factor (TNF) that coordinates innate and adaptive immune responses by functioning in an autocrine or paracrine manner. Numerous molecular mechanisms contributing to TNF production have been identified, but how they function together in macrophages remains unclear. Here, we pursued an iterative systems biology approach to develop a quantitative understanding of the regulatory modules that control TNF mRNA synthesis and processing, mRNA half-life and translation, and protein processing and secretion. By linking the resulting model of TNF production to models of the TLR-, the TNFR-, and the NFκB signaling modules, we were able to study TNF's functions during the inflammatory response to diverse TLR agonists. Contrary to expectation, we predicted and then experimentally confirmed that in response to lipopolysaccaride, TNF does not have an autocrine function in amplifying the NFκB response, although it plays a potent paracrine role in neighboring cells. However, in response to CpG DNA, autocrine TNF extends the duration of NFκB activity and shapes CpG-induced gene expression programs. Our systems biology approach revealed that network dynamics of MyD88 and TRIF signaling and of cytokine production and response govern the stimulus-specific autocrine and paracrine functions of TNF.

Indexed as

Models, BiologicalSignal TransductionAdaptor Proteins, Vesicular TransportAnimalsAutocrine CommunicationGene Expression RegulationMacrophagesMice, Inbred C57BLNF-kappa BParacrine CommunicationSystems BiologyTumor Necrosis Factor-alphaAdaptor Proteins, Vesicular TransportNF-kappa BTicam1 protein, mouseTumor Necrosis Factor-alphainflammationinnate immune responseMAP kinaseNFκBpathogen sensors

Identifiers

PMID25274725
PMCPMC4180974
OpenAlexW2128506529

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.