Evidence map›Paper›PMID 26990581›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine2016

Signaling via the NFκB system.

Simon Mitchell, Jesse Vargas, Alexander Hoffmann

Open access · greenAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 577 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
577citing papers in PubMed, 2 pooled it
21.6field-weighted citation impact, top 1% 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

577 citing papers in PubMed, 2 syntheses or guidelines pooled it, 993 citations in OpenAlex.

  1. Pooled it
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  17. Foods (Basel, Switzerland) · 2026
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517 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

3 authors at 1 institution in 1 country.

Simon MitchellDepartment of Microbiology, Immunology, and Molecular Genetics, and Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, USA.
Jesse VargasDepartment of Microbiology, Immunology, and Molecular Genetics, and Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-3671-6778
Alexander HoffmannDepartment of Microbiology, Immunology, and Molecular Genetics, and Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA, USA.
QB3 · US

Funding

Cell decision underlying B-cell immune responsesR01AI132731 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER · 2018 to 2022
$2.2M
The NFkB System in Dendritic CellsR01AI127867 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER · 2018 to 2022
$2.2M
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 AI127867NIAID NIH HHS R01 AI132731
6 · The paper itself

Abstract

The nuclear factor kappa B (NFκB) family of transcription factors is a key regulator of immune development, immune responses, inflammation, and cancer. The NFκB signaling system (defined by the interactions between NFκB dimers, IκB regulators, and IKK complexes) is responsive to a number of stimuli, and upon ligand-receptor engagement, distinct cellular outcomes, appropriate to the specific signal received, are set into motion. After almost three decades of study, many signaling mechanisms are well understood, rendering them amenable to mathematical modeling, which can reveal deeper insights about the regulatory design principles. While other reviews have focused on upstream, receptor proximal signaling (Hayden MS, Ghosh S. Signaling to NF-κB. Genes Dev 2004, 18:2195-2224; Verstrepen L, Bekaert T, Chau TL, Tavernier J, Chariot A, Beyaert R. TLR-4, IL-1R and TNF-R signaling to NF-κB: variations on a common theme. Cell Mol Life Sci 2008, 65:2964-2978), and advances through computational modeling (Basak S, Behar M, Hoffmann A. Lessons from mathematically modeling the NF-κB pathway. Immunol Rev 2012, 246:221-238; Williams R, Timmis J, Qwarnstrom E. Computational models of the NF-KB signalling pathway. Computation 2014, 2:131), in this review we aim to summarize the current understanding of the NFκB signaling system itself, the molecular mechanisms, and systems properties that are key to its diverse biological functions, and we discuss remaining questions in the field. WIREs Syst Biol Med 2016, 8:227-241. doi: 10.1002/wsbm.1331 For further resources related to this article, please visit the WIREs website.

Indexed as

Signal TransductionAnimalsDimerizationHumansI-kappa B KinaseInflammationModels, BiologicalNeoplasmsNF-kappa BOxidative StressProtein Processing, Post-TranslationalI-kappa B KinaseNF-kappa B

Identifiers

PMID26990581
PMCPMC8363188
OpenAlexW2300735552

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.