Evidence map›Paper›PMID 26732763›Full record

ArticleScience signaling2016

Comprehensive RNAi-based screening of human and mouse TLR pathways identifies species-specific preferences in signaling protein use.

Jing Sun, Ning Li, Kyu-Seon Oh, Bhaskar Dutta, Sharat J Vayttaden, Bin Lin, Thomas S Ebert, Dominic De Nardo, Joie Davis, Rustam Bagirzadeh and 5 more

Open access · greenAbstract read
In one paragraph

Article in Science signaling, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
4.4field-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

55 citing papers in PubMed, 80 citations in OpenAlex.

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  8. Regulation of Neuroinflammation by Microglial DUBA-IRAK1-IKKβ Signaling Loop.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 3 countries.

Jing SunSignaling Systems Unit, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Ning LiSignaling Systems Unit, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Kyu-Seon OhSignaling Systems Unit, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Bhaskar DuttaBioinformatics Team, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Sharat J VayttadenSignaling Systems Unit, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Bin LinSignaling Systems Unit, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Thomas S EbertInstitute of Molecular Medicine, University Hospital, University of Bonn, 53127 Bonn, Germany.
Dominic De NardoInstitute of Innate Immunity, University Hospital, Biomedical Centre, University of Bonn, 53127 Bonn, Germany. Inflammation Division, Walter and Eliza Hall Institute, Parkville,Victoria 3052, Australia. Department of Medical Biology, The University of Melbourne, Parkville, Victoria 3010, Australia.
Joie DavisLaboratory of Clinical Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Rustam BagirzadehDepartment of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Nicolas W LounsburySignaling Systems Unit, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.
Chandrashekhar PasareDepartment of Immunology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Eicke LatzInstitute of Innate Immunity, University Hospital, Biomedical Centre, University of Bonn, 53127 Bonn, Germany. German Center for Neurodegenerative Diseases (DZNE), 53175 Bonn, Germany. Department of Infectious Diseases and Immunology, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Veit HornungInstitute of Molecular Medicine, University Hospital, University of Bonn, 53127 Bonn, Germany.
Iain D C FraserSignaling Systems Unit, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA. fraseri@niaid.nih.gov.
National Institute of Allergy and Infectious Diseases · USNational Institutes of Health · USThe University of Texas Southwestern Medical Center · USGerman Center for Neurodegenerative Diseases · DEUniversity of Melbourne · AU

Funding

RNAi Screening in Hematopoietic CellsZIAAI001106 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI FRASER, IAIN · 2009 to 2025
$12.4M
Analysis of Innate Immune Signaling NetworksZIAAI001107 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI FRASER, IAIN · 2009 to 2025
$11.9M
INTEGRATIVE IMMUNOLOGY TRAINING PROGRAMT32AI005284 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI Nan Yan · 2003 to 2026
$7.4M
HDL prevention of cholesterol crystal inflammation in HIV diseaseR01HL112661 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI FITZGERALD, MICHAEL LEO, LATZ, EICKE · 2012 to 2016
$3.1M
Toll-like receptor mediated regulation of effector and memory CD4 T cell responseR01AI082265 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI PASARE, CHANDRASHEKHAR · 2010 to 2014
$1.9M
European Research Council 243046Intramural NIH HHS ZIA AI001106Intramural NIH HHS ZIA AI001107NHLBI NIH HHS R01 HL112661NHLBI NIH HHS R01HL112661NIAID NIH HHS 5T32-AI005284-35NIAID NIH HHS AI082265NIAID NIH HHS R01 AI082265NIAID NIH HHS T32 AI005284
6 · The paper itself

Abstract

Toll-like receptors (TLRs) are a major class of pattern recognition receptors, which mediate the responses of innate immune cells to microbial stimuli. To systematically determine the roles of proteins in canonical TLR signaling pathways, we conducted an RNA interference (RNAi)-based screen in human and mouse macrophages. We observed a pattern of conserved signaling module dependencies across species, but found notable species-specific requirements at the level of individual proteins. Among these, we identified unexpected differences in the involvement of members of the interleukin-1 receptor-associated kinase (IRAK) family between the human and mouse TLR pathways. Whereas TLR signaling in mouse macrophages depended primarily on IRAK4 and IRAK2, with little or no role for IRAK1, TLR signaling and proinflammatory cytokine production in human macrophages depended on IRAK1, with knockdown of IRAK4 or IRAK2 having less of an effect. Consistent with species-specific roles for these kinases, IRAK4 orthologs failed to rescue signaling in IRAK4-deficient macrophages from the other species, and only mouse macrophages required the kinase activity of IRAK4 to mediate TLR responses. The identification of a critical role for IRAK1 in TLR signaling in humans could potentially explain the association of IRAK1 with several autoimmune diseases. Furthermore, this study demonstrated how systematic screening can be used to identify important characteristics of innate immune responses across species, which could optimize therapeutic targeting to manipulate human TLR-dependent outputs.

Indexed as

RNA InterferenceAnimalsBlotting, WesternCell LineCell Line, TumorGene Expression ProfilingHumansInterleukin-1 Receptor-Associated KinasesIsoenzymesMacrophagesMice, KnockoutReverse Transcriptase Polymerase Chain ReactionSignal TransductionSpecies SpecificityToll-Like ReceptorsInterleukin-1 Receptor-Associated KinasesIsoenzymesToll-Like Receptors

Identifiers

PMID26732763
PMCPMC5381726
OpenAlexW2230207762

What OpenQuestion holds

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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.