Evidence map›Paper›PMID 31293585›Full record

ArticleFrontiers in immunology2019

An NFκB Activity Calculator to Delineate Signaling Crosstalk: Type I and II Interferons Enhance NFκB via Distinct Mechanisms.

Simon Mitchell, Ellen L Mercado, Adewunmi Adelaja, Jessica Q Ho, Quen J Cheng, Gourisankar Ghosh, Alexander Hoffmann

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 48 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Simon MitchellSignaling Systems Laboratory, Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, and Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, United States.
Ellen L MercadoSignaling Systems Laboratory, San Diego Center for Systems Biology, La Jolla, CA, United States.
Adewunmi AdelajaSignaling Systems Laboratory, Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, and Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, United States.
Jessica Q HoDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, United States.
Quen J ChengSignaling Systems Laboratory, Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, and Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, United States.
Gourisankar GhoshDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, United States.
Alexander HoffmannSignaling Systems Laboratory, Institute for Quantitative and Computational Biosciences, Department of Microbiology, Immunology, and Molecular Genetics, and Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, United States.
QB3 · USUniversity of California San Diego · USCenter for Systems Biology · USUniversity of California, Los Angeles · US

Funding

Understanding dynamical coding by NFkBR01GM117134 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER, WOLLMAN, ROY · 2016 to 2019
$2.4M
Coordinated dynamic regulation and function of IRF transcription factorsR01AI132835 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER · 2017 to 2021
$1.9M
NFkB Signaling in MacrophagesR01AI127864 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER · 2017 to 2021
$1.9M
NIAID NIH HHS R01 AI127864NIAID NIH HHS R01 AI132835NIGMS NIH HHS R01 GM117134
6 · The paper itself

Abstract

Nuclear factor kappa B (NFκB) is a transcription factor that controls inflammation and cell survival. In clinical histology, elevated NFκB activity is a hallmark of poor prognosis in inflammatory disease and cancer, and may be the result of a combination of diverse micro-environmental constituents. While previous quantitative studies of NFκB focused on its signaling dynamics in single cells, we address here how multiple stimuli may combine to control tissue level NFκB activity. We present a novel, simplified model of NFκB (SiMoN) that functions as an NFκB activity calculator. We demonstrate its utility by exploring how type I and type II interferons modulate NFκB activity in macrophages. Whereas, type I IFNs potentiate NFκB activity by inhibiting translation of IκBα and by elevating viral RNA sensor (RIG-I) expression, type II IFN amplifies NFκB activity by increasing the degradation of free IκB through transcriptional induction of proteasomal cap components (PA28). Both cross-regulatory mechanisms amplify NFκB activation in response to weaker (viral) inducers, while responses to stronger (bacterial or cytokine) inducers remain largely unaffected. Our work demonstrates how the NFκB calculator can reveal distinct mechanisms of crosstalk on NFκB activity in interferon-containing microenvironments.

Indexed as

Models, ImmunologicalAnimalsDEAD Box Protein 58Interferon Type IMacrophagesMiceMice, KnockoutNF-kappa BSignal TransductionDdx58 protein, mouseDEAD Box Protein 58Interferon Type INF-kappa Banti-viral responseimmunoproteasomeinterferonmathematical modelNFκBsignaling crosstalksystems biologytranslational inhibition

Identifiers

PMID31293585
PMCPMC6604663
OpenAlexW2954359924

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.