Evidence map›Paper›PMID 30199532›Full record

ArticlePLoS biology2018

Transcriptional outcomes and kinetic patterning of gene expression in response to NF-κB activation.

Mingming Zhao, Jaimy Joy, Weiqiang Zhou, Supriyo De, William H Wood, Kevin G Becker, Hongkai Ji, Ranjan Sen

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
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  12. Response of lymphatic endothelial cells to combined spatial and temporal variations in fluid flow.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2023
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  13. Article
  14. The Involvement of Canonical NFκB Pathway in Megakaryocyte Differentiation Induction by Nanocurcumin.International journal of hematology-oncology and stem cell research · 2023
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  18. Nemo-Dependent, ATM-Mediated Signals from RAG DNA Breaks atJournal of immunology (Baltimore, Md. : 1950) · 2022
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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

8 authors at 3 institutions in 1 country.

Mingming ZhaoGene Regulation Section, Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, Maryland, United States of America.ORCID 0000-0002-9821-6373
Jaimy JoyGene Regulation Section, Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, Maryland, United States of America.
Weiqiang ZhouDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Supriyo DeGene Expression and Genomics Unit, Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, Maryland, United States of America.
William H WoodGene Expression and Genomics Unit, Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, Maryland, United States of America.
Kevin G BeckerGene Expression and Genomics Unit, Laboratory of Genetics and Genomics, National Institute on Aging, Baltimore, Maryland, United States of America.
Hongkai JiDepartment of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Ranjan SenGene Regulation Section, Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, Maryland, United States of America.
Institute on Aging · USNational Institute on Aging · USJohns Hopkins University · US

Funding

Analysis of complex biological systems by microarray based gene expressionZICAG000616 · NIA · NATIONAL INSTITUTE ON AGING · PI DE, SUPRIYO · 2009 to 2025
$15.5M
6 · The paper itself

Abstract

Transcription factor nuclear factor kappa B (NF-κB) regulates cellular responses to environmental cues. Many stimuli induce NF-κB transiently, making time-dependent transcriptional outputs a fundamental feature of NF-κB activation. Here we show that NF-κB target genes have distinct kinetic patterns in activated B lymphoma cells. By combining RELA binding, RNA polymerase II (Pol II) recruitment, and perturbation of NF-κB activation, we demonstrate that kinetic differences amongst early- and late-activated RELA target genes can be understood based on chromatin configuration prior to cell activation and RELA-dependent priming, respectively. We also identified genes that were repressed by RELA activation and others that responded to RELA-activated transcription factors. Cumulatively, our studies define an NF-κB-responsive inducible gene cascade in activated B cells.

Indexed as

Gene Expression RegulationTranscription, GeneticB-LymphocytesCell LineHumansI-kappa B KinaseKineticsNF-kappa BProtein BindingTranscription Factor RelAUp-RegulationI-kappa B KinaseNF-kappa BTranscription Factor RelA

Identifiers

PMID30199532
PMCPMC6147668
OpenAlexW2890719850

What OpenQuestion holds

Textmetadata
LicenceCC0
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.