Evidence map›Paper›PMID 33979588›Full record

ArticleImmunity2021

Six distinct NFκB signaling codons convey discrete information to distinguish stimuli and enable appropriate macrophage responses.

Adewunmi Adelaja, Brooks Taylor, Katherine M Sheu, Yi Liu, Stefanie Luecke, Alexander Hoffmann

Open access · hybridAbstract read
In one paragraph

Article in Immunity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
6.5field-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

73 citing papers in PubMed, 109 citations in OpenAlex.

  1. Article
  2. Spatiotemporal calcium signaling to unlock the calcium paradox: location, location, location!American journal of physiology. Lung cellular and molecular physiology · 2026
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  7. Are physiological oscillations physiological?The Journal of physiology · 2026
    Review
  8. Article
  9. Autonomous Oscillations of NF-κB.Advances in experimental medicine and biology · 2026
    Review
  10. Autonomous Oscillations of NF-κB.Advances in experimental medicine and biology · 2026
    Review
  11. Article
  12. Article
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13 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Adewunmi AdelajaInstitute for Quantitative and Computational Biosciences (QCBio), Molecular Biology Institute (MBI), and Department of Microbiology, Immunology, and Molecular Genetics (MIMG), University of California, Los Angeles (UCLA), 611 Charles E. Young Dr S, Los Angeles, CA 90093.
Brooks TaylorInstitute for Quantitative and Computational Biosciences (QCBio), Molecular Biology Institute (MBI), and Department of Microbiology, Immunology, and Molecular Genetics (MIMG), University of California, Los Angeles (UCLA), 611 Charles E. Young Dr S, Los Angeles, CA 90093.
Katherine M SheuInstitute for Quantitative and Computational Biosciences (QCBio), Molecular Biology Institute (MBI), and Department of Microbiology, Immunology, and Molecular Genetics (MIMG), University of California, Los Angeles (UCLA), 611 Charles E. Young Dr S, Los Angeles, CA 90093.
Yi LiuInstitute for Quantitative and Computational Biosciences (QCBio), Molecular Biology Institute (MBI), and Department of Microbiology, Immunology, and Molecular Genetics (MIMG), University of California, Los Angeles (UCLA), 611 Charles E. Young Dr S, Los Angeles, CA 90093.
Stefanie LueckeInstitute for Quantitative and Computational Biosciences (QCBio), Molecular Biology Institute (MBI), and Department of Microbiology, Immunology, and Molecular Genetics (MIMG), University of California, Los Angeles (UCLA), 611 Charles E. Young Dr S, Los Angeles, CA 90093.
Alexander HoffmannInstitute for Quantitative and Computational Biosciences (QCBio), Molecular Biology Institute (MBI), and Department of Microbiology, Immunology, and Molecular Genetics (MIMG), University of California, Los Angeles (UCLA), 611 Charles E. Young Dr S, Los Angeles, CA 90093. Electronic address: ahoffmann@ucla.edu.
QB3 · USUniversity of California, Los Angeles · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Systems in Integrative BiologyT32GM008185 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHOU, TOM · 1987 to 2022
$4.6M
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
Context-Specific Regulation of NFkB Signaling Dynamics in Primary MacrophagesF31AI138450 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ADELAJA, ADEWUNMI OLUMUYIWA · 2019 to 2019
$29k
NCI NIH HHS P30 CA016042NIAID NIH HHS F31 AI138450NIAID NIH HHS R01 AI127864NIAID NIH HHS R01 AI132835NIGMS NIH HHS R01 GM117134NIGMS NIH HHS T32 GM008042NIGMS NIH HHS T32 GM008185
6 · The paper itself

Abstract

Macrophages initiate inflammatory responses via the transcription factor NFκB. The temporal pattern of NFκB activity determines which genes are expressed and thus, the type of response that ensues. Here, we examined how information about the stimulus is encoded in the dynamics of NFκB activity. We generated an mVenus-RelA reporter mouse line to enable high-throughput live-cell analysis of primary macrophages responding to host- and pathogen-derived stimuli. An information-theoretic workflow identified six dynamical features-termed signaling codons-that convey stimulus information to the nucleus. In particular, oscillatory trajectories were a hallmark of responses to cytokine but not pathogen-derived stimuli. Single-cell imaging and RNA sequencing of macrophages from a mouse model of Sjögren's syndrome revealed inappropriate responses to stimuli, suggestive of confusion of two NFκB signaling codons. Thus, the dynamics of NFκB signaling classify immune threats through six signaling codons, and signal confusion based on defective codon deployment may underlie the etiology of some inflammatory diseases.

Indexed as

AnimalsCells, CulturedCodonCytokinesDisease Models, AnimalGene Expression RegulationInflammationMacrophagesMiceMice, Inbred C57BLNF-kappa BSignal TransductionSjogren's SyndromeTranscription Factor RelACodonCytokinesNF-kappa BTranscription Factor RelAHopf bifurcation analysisimmune sentinel cellslive cell imagingmachine learning classificationmathematical modelingmutual informationpathogen-associated molecular patternsresponse specificitysignaling dynamicstumor necrosis factor

Identifiers

PMID33979588
PMCPMC8184127
OpenAlexW3161504380

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.