Evidence map›Paper›PMID 30833792›Full record

ArticleNature immunology2019

A protein-interaction network of interferon-stimulated genes extends the innate immune system landscape.

Philipp Hubel, Christian Urban, Valter Bergant, William M Schneider, Barbara Knauer, Alexey Stukalov, Pietro Scaturro, Angelika Mann, Linda Brunotte, Heinrich H Hoffmann and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 1 pooled it
8.6field-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

132 citing papers in PubMed, 1 synthesis or guideline pooled it, 199 citations in OpenAlex.

  1. Pooled it
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  14. Systems Virology at Scale.Current opinion in systems biology · 2025
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72 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

15 authors at 6 institutions in 2 countries.

Philipp HubelInnate Immunity Laboratory, Max-Planck Institute of Biochemistry, Munich, Germany.
Christian UrbanInstitute of Virology, School of Medicine, Technical University of Munich, Munich, Germany.
Valter BergantInstitute of Virology, School of Medicine, Technical University of Munich, Munich, Germany.
William M SchneiderLaboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA.
Barbara KnauerInnate Immunity Laboratory, Max-Planck Institute of Biochemistry, Munich, Germany.
Alexey StukalovInnate Immunity Laboratory, Max-Planck Institute of Biochemistry, Munich, Germany.
Pietro ScaturroInnate Immunity Laboratory, Max-Planck Institute of Biochemistry, Munich, Germany.
Angelika MannInnate Immunity Laboratory, Max-Planck Institute of Biochemistry, Munich, Germany.
Linda BrunotteInstitute of Virology, Westfaelische Wilhelms-University Muenster, Muenster, Germany.
Heinrich H HoffmannLaboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA.
John W SchogginsLaboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA.ORCID http://orcid.org/0000-0002-7944-6800
Martin SchwemmleInstitute of Virology, Medical Center University of Freiburg, Freiburg, Germany.
Matthias MannDepartment of Proteomics and Signal Transduction, Max-Planck Institute of Biochemistry, Munich, Germany.ORCID http://orcid.org/0000-0003-1292-4799
Charles M RiceLaboratory of Virology and Infectious Disease, The Rockefeller University, New York, NY, USA.
Andreas PichlmairInnate Immunity Laboratory, Max-Planck Institute of Biochemistry, Munich, Germany. andreas.pichlmair@tum.de.ORCID http://orcid.org/0000-0002-0166-1367
Max Planck Institute of Biochemistry · DERockefeller University · USTechnical University of Munich · DEGerman Center for Infection Research · DEUniversity of Freiburg · DEUniversity of Münster · DE

Funding

Type I interferon-stimulated genes and the antiviral immune responseR01AI091707 · NIAID · ROCKEFELLER UNIVERSITY · PI RICE, CHARLES M · 2011 to 2020
$5.5M
NIAID NIH HHS R01 AI091707NIH HHS R01-AI091707
6 · The paper itself

Abstract

Interferon-stimulated genes (ISGs) form the backbone of the innate immune system and are important for limiting intra- and intercellular viral replication and spread. We conducted a mass-spectrometry-based survey to understand the fundamental organization of the innate immune system and to explore the molecular functions of individual ISGs. We identified interactions between 104 ISGs and 1,401 cellular binding partners engaging in 2,734 high-confidence interactions. 90% of these interactions are unreported so far, and our survey therefore illuminates a far wider activity spectrum of ISGs than is currently known. Integration of the resulting ISG-interaction network with published datasets and functional studies allowed us to identify regulators of immunity and processes related to the immune system. Given the extraordinary robustness of the innate immune system, this ISG network may serve as a blueprint for therapeutic targeting of cellular systems to efficiently fight viral infections.

Indexed as

Immunity, InnateProtein Interaction MappingAntigens, NeoplasmBiomarkers, TumorCarrier ProteinsCell LineExtracellular Matrix ProteinsGene ExpressionGlycoproteinsHEK293 CellsHeLa CellsHumansInterferonsMass SpectrometryReceptors, CCR4Receptors, Peptideannexin II receptor, humanAntigens, NeoplasmBiomarkers, TumorCarrier ProteinsCCR4 protein, humanExtracellular Matrix ProteinsGlycoproteinsInterferonsLGALS3BP protein, humanReceptors, CCR4Receptors, PeptideRibonucleoproteinsViral Proteins

Identifiers

PMID30833792
OpenAlexW2918861759

What OpenQuestion holds

Textmetadata
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.