Evidence map›Paper›PMID 34211635›Full record

ArticleScience signaling2021

NF-κB responds to absolute differences in cytokine concentrations.

Minjun Son, Andrew G Wang, Hsiung-Lin Tu, Marie Oliver Metzig, Parthiv Patel, Kabir Husain, Jing Lin, Arvind Murugan, Alexander Hoffmann, Savaş Tay

Open access · greenAbstract read
In one paragraph

Article in Science signaling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-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

31 citing papers in PubMed, 53 citations in OpenAlex.

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    Review
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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

10 authors at 2 institutions in 2 countries.

Minjun SonPritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.
Andrew G WangPritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.
Hsiung-Lin TuPritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.
Marie Oliver MetzigDepartment of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA 90095, USA.
Parthiv PatelPritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.
Kabir HusainJames Franck Institute and Department of Physics, University of Chicago, Chicago, IL 60637, USA.
Jing LinPritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.
Arvind MuruganJames Franck Institute and Department of Physics, University of Chicago, Chicago, IL 60637, USA.
Alexander HoffmannDepartment of Microbiology, Immunology and Molecular Genetics, University of California, Los Angeles, CA 90095, USA.
Savaş TayPritzker School of Molecular Engineering, University of Chicago, Chicago, IL 60637, USA.
University of Chicago · USQB3 · US

Funding

MEDICAL SCIENTIST TRAININGT32GM007281 · NIGMS · UNIVERSITY OF CHICAGO · PI CLARK, MARCUS RAMSAY · 1985 to 2022
$32.1M
Understanding dynamical coding by NFkBR01GM117134 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFFMANN, ALEXANDER, WOLLMAN, ROY · 2016 to 2019
$2.4M
Understanding Mechanisms of Robust Information Processing by NF-kappaBR01GM128042 · NIGMS · UNIVERSITY OF CHICAGO · PI TAY, SAVAS · 2018 to 2022
$1.8M
NIGMS NIH HHS R01 GM117134NIGMS NIH HHS R01 GM128042NIGMS NIH HHS T32 GM007281
6 · The paper itself

Abstract

Cells receive a wide range of dynamic signaling inputs during immune regulation, but how gene regulatory networks measure such dynamic inputs is not well understood. Here, we used microfluidic single-cell analysis and mathematical modeling to study how the NF-κB pathway responds to immune inputs that vary over time such as increasing, decreasing, or fluctuating cytokine signals. We found that NF-κB activity responded to the absolute difference in cytokine concentration and not to the concentration itself. Our analyses revealed that negative feedback by the regulatory proteins A20 and IκBα enabled differential responses to changes in cytokine dose by providing a short-term memory of previous cytokine concentrations and by continuously resetting kinase cycling and receptor abundance. Investigation of NF-κB target gene expression showed that cells exhibited distinct transcriptional responses under different dynamic cytokine profiles. Our results demonstrate how cells use simple network motifs and transcription factor dynamics to efficiently extract information from complex signaling environments.

Indexed as

CytokinesNF-kappa BGene Expression RegulationNF-KappaB Inhibitor alphaSignal TransductionTumor Necrosis Factor-alphaCytokinesNF-kappa BNF-KappaB Inhibitor alphaTumor Necrosis Factor-alpha

Identifiers

PMID34211635
PMCPMC8244746
OpenAlexW3121593902

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.