Evidence map›Paper›PMID 30704857›Full record

ArticleBiophysical journal2019

Fold-Change Detection of NF-κB at Target Genes with Different Transcript Outputs.

Victor C Wong, Shibin Mathew, Ramesh Ramji, Suzanne Gaudet, Kathryn Miller-Jensen

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Autonomous Oscillations of NF-κB.Advances in experimental medicine and biology · 2026
    Review
  2. Direct observation correlates NFκB cRel in B cells with activating and terminating their proliferative program.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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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

5 authors at 2 institutions in 1 country.

Victor C WongDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut.
Shibin MathewDepartment of Cancer Biology and Center for Cancer Systems Biology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts.
Ramesh RamjiDepartment of Biomedical Engineering, Yale University, New Haven, Connecticut.
Suzanne GaudetDepartment of Cancer Biology and Center for Cancer Systems Biology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Genetics, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts. Electronic address: suzanne_gaudet@dfci.harvard.edu.
Kathryn Miller-JensenDepartment of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut; Department of Biomedical Engineering, Yale University, New Haven, Connecticut. Electronic address: kathryn.miller-jensen@yale.edu.
Yale University · USHarvard University · US

Funding

PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM007499 · NIGMS · YALE UNIVERSITY · PI CARLSON, JOHN R, REINKE, VALERIE J · 1985 to 2022
$13.9M
Single-cell analysis of TNF-induced signaling, transcription and fate decisionsR01GM104247 · NIGMS · DANA-FARBER CANCER INST · PI GAUDET, SUZANNE · 2013 to 2017
$1.7M
NIGMS NIH HHS R01 GM104247NIGMS NIH HHS T32 GM007499
6 · The paper itself

Abstract

The transcription factor nuclear factor (NF)-κB promotes inflammatory and stress-responsive gene transcription across a range of cell types in response to the cytokine tumor necrosis factor (TNF). Although NF-κB signaling exhibits significant variability across single cells, some target genes supporting high levels of TNF-inducible transcription exhibit fold-change detection of NF-κB, which may buffer against stochastic variation in signaling molecules. It is unknown whether fold-change detection is maintained at NF-κB target genes with low levels of TNF-inducible transcription, for which stochastic promoter events may be more pronounced. Here, we used a microfluidic cell-trapping device to measure how TNF-induced activation of NF-κB controls transcription in single Jurkat T cells at the promoters of integrated HIV and the endogenous cytokine gene IL6, which produce only a few transcripts per cell. We tracked TNF-stimulated NF-κB RelA nuclear translocation by live-cell imaging and then quantified transcript number by RNA FISH in the same cell. We found that TNF-induced transcript abundance at 2 h for low- and high-abundance target genes correlates with similar strength with the fold change in nuclear NF-κB. A computational model of TNF-NF-κB signaling, which implements fold-change detection from competition for binding to κB motifs, could reproduce fold-change detection across the experimentally measured range of transcript outputs. However, multiple model parameters affecting transcription had to be simultaneously varied across promoters to maintain fold-change detection while also matching other trends in the single-cell data for low-abundance transcripts. Our results suggest that cells use multiple biological mechanisms to tune transcriptional output while maintaining robustness of NF-κB fold-change detection.

Indexed as

HumansJurkat CellsLab-On-A-Chip DevicesModels, BiologicalRNA, MessengerSignal TransductionSingle-Cell AnalysisTranscription Factor RelATranscription, GeneticTumor Necrosis Factor-alphaRELA protein, humanRNA, MessengerTranscription Factor RelATumor Necrosis Factor-alpha

Identifiers

PMID30704857
PMCPMC6382958
OpenAlexW2950828601

What OpenQuestion holds

Textmetadata
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.