Evidence map›Paper›PMID 26175492›Full record

ArticleScience signaling2015

Distinct single-cell signaling characteristics are conferred by the MyD88 and TRIF pathways during TLR4 activation.

Zhang Cheng, Brooks Taylor, Diana R Ourthiague, Alexander Hoffmann

Open access · greenAbstract read
In one paragraph

Article in Science signaling, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

81 citing papers in PubMed, 1 synthesis or guideline pooled it, 115 citations in OpenAlex.

  1. Contribution of TLR4 to colorectal tumor microenvironment, etiology and prognosis.Journal of cancer research and clinical oncology · 2023
    Pooled it
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  10. Computational modelling of aggressive B-cell lymphoma.Biochemical Society transactions · 2025
    Review
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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Zhang ChengInstitute for Quantitative and Computational Biosciences and Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90025, USA. San Diego Center for Systems Biology and Department of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Brooks TaylorInstitute for Quantitative and Computational Biosciences and Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90025, USA. San Diego Center for Systems Biology and Department of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Diana R OurthiagueSan Diego Center for Systems Biology and Department of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
Alexander HoffmannInstitute for Quantitative and Computational Biosciences and Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA 90025, USA. San Diego Center for Systems Biology and Department of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. ahoffmann@ucla.edu.
QB3 · USUniversity of California San Diego · US

Funding

SYNTHETIC SYSTEMSP50GM085764 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HASTY, JEFF M, IDEKER, TREY · 2010 to 2018
$23.3M
IKK:Biophysical basis of dynamic regulationR01CA141722 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GHOSH, GOURISANKAR, HOFFMANN, ALEXANDER · 2009 to 2013
$2.7M
Regulation of signaling via the lkB-NF-kB interactionR01GM071573 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HOFFMANN, ALEXANDER · 2005 to 2013
$2.2M
NFkB Signaling in MacrophagesR01AI127864 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER · 2017 to 2021
$1.9M
NCI NIH HHS R01 CA141722NIAID NIH HHS R01 AI127864NIGMS NIH HHS R01 GM071573
6 · The paper itself

Abstract

Toll-like receptors (TLRs) recognize specific pathogen-associated molecular patterns and initiate innate immune responses through signaling pathways that depend on the adaptor proteins MyD88 (myeloid differentiation marker 88) or TRIF (TIR domain-containing adaptor protein-inducing interferon-β). TLR4, in particular, uses both adaptor proteins to activate the transcription factor nuclear factor κB (NF-κB); however, the specificity and redundancy of these two pathways remain to be elucidated. We developed a mathematical model to show how each pathway encodes distinct dynamical features of NF-κB activity and makes distinct contributions to the high variability observed in single-cell measurements. The assembly of a macromolecular signaling platform around MyD88 associated with receptors at the cell surface determined the timing of initial responses to generate a reliable, digital NF-κB signal. In contrast, ligand-induced receptor internalization into endosomes produced noisy, delayed, yet sustained NF-κB signals through TRIF. With iterative mathematical model development, we predicted the molecular mechanisms by which the MyD88- and TRIF-mediated pathways provide ligand concentration-dependent signaling dynamics that transmit information about the pathogen threat.

Indexed as

Adaptor Proteins, Vesicular TransportAlgorithmsAnimalsCell LineCell MembraneCells, CulturedFemurImmunity, InnateLigandsMacrophagesMiceMice, Inbred C57BLModels, TheoreticalMyeloid Differentiation Factor 88NF-kappa B p50 SubunitSignal TransductionAdaptor Proteins, Vesicular TransportLigandsMyd88 protein, mouseMyeloid Differentiation Factor 88NF-kappa B p50 SubunitNfkb1 protein, mouseTicam1 protein, mouseTlr4 protein, mouseToll-Like Receptor 4

Identifiers

PMID26175492
PMCPMC6764925
OpenAlexW1952382901

What OpenQuestion holds

Textmetadata
LicenceTDM
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.