Evidence map›Paper›PMID 32098801›Full record

ArticleScience signaling2020

Integrative analysis suggests cell type-specific decoding of NF-κB dynamics.

Erik W Martin, Alicja Pacholewska, Heta Patel, Himanshu Dashora, Myong-Hee Sung

Open access · greenAbstract read
In one paragraph

Article in Science signaling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Autonomous Oscillations of NF-κB.Advances in experimental medicine and biology · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Gut microbes · 2023
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

5 authors at 1 institution in 1 country.

Erik W MartinLaboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.ORCID 0000-0003-3979-2378
Alicja PacholewskaLaboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.ORCID 0000-0002-4888-4883
Heta PatelLaboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.ORCID 0000-0002-1618-951X
Himanshu DashoraLaboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.ORCID 0000-0001-7883-0790
Myong-Hee SungLaboratory of Molecular Biology and Immunology, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA. sungm@mail.nih.gov.ORCID 0000-0002-9739-8558
National Institutes of Health · US

Funding

Functional decoding of signaling dynamics in single immune cellsZIAAG000380 · NIA · NATIONAL INSTITUTE ON AGING · PI SUNG, MYONG-HEE · 2016 to 2025
$29.0M
Intramural NIH HHS ZIA AG000380
6 · The paper itself

Abstract

The complex signaling dynamics of transcription factors can encode both qualitative and quantitative information about the extracellular environment, which increases the information transfer capacity and potentially supports accurate cellular decision-making. An important question is how these signaling dynamics patterns are translated into functionally appropriate gene regulation programs. To address this question for transcription factors of the nuclear factor κB (NF-κB) family, we profiled the single-cell dynamics of two major NF-κB subunits, RelA and c-Rel, induced by a panel of pathogen-derived stimuli in immune and nonimmune cellular contexts. Diverse NF-κB-activating ligands produced different patterns of RelA and c-Rel signaling dynamic features, such as variations in duration or time-integrated activity. Analysis of nascent transcripts delineated putative direct targets of NF-κB as compared to genes controlled by other transcriptional and posttranscriptional mechanisms and showed that the transcription of more than half of the induced genes was tightly linked to specific dynamic features of NF-κB signaling. Fibroblast and macrophage cell lines shared a cluster of such "NF-κB dynamics-decoding" genes, as well as cell type-specific decoding genes. Dissecting the subunit specificity of dynamics-decoding genes suggested that target genes were most often linked to both RelA and c-Rel or to RelA alone. Thus, our analysis reveals the cell type-specific interpretation of pathogenic information through the signaling dynamics of NF-κB.

Indexed as

AnimalsFibroblastsGene Expression ProfilingGene Expression RegulationLigandsLipopolysaccharidesMacrophagesMiceMicroscopy, ConfocalNIH 3T3 CellsProto-Oncogene Proteins c-relRAW 264.7 CellsRNA-SeqSignal TransductionToll-Like ReceptorsTranscription Factor RelALigandsLipopolysaccharidesProto-Oncogene Proteins c-relRela protein, mouseToll-Like ReceptorsTranscription Factor RelA

Identifiers

PMID32098801
PMCPMC7294995
OpenAlexW3008964404

What OpenQuestion holds

Textmetadata
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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.