ArticleFunctional & integrative genomics2013
Subset of genes targeted by transcription factor NF-κB in TNFα-stimulated human HeLa cells.
Article in Functional & integrative genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Hydrogen Sulfide-Regulated NF-κB Signaling via Persulfidation: A Review.Biomolecules · 2026Review
- SDC4 identified as an oncogenic target gene of NF-κB in TNFα-Induced tumor cells.Scientific reports · 2025Article
- Cancer gene therapy by NF-κB-activated cancer cell-specific expression of CRISPR/Cas9 targeting telomeres.Gene therapy · 2020Article
- Aberrant expression of NKL homeobox genes HMX2 and HMX3 interferes with cell differentiation in acute myeloid leukemia.PloS one · 2020Article
- Identification of Gene Expression Changes in the Aorta of ApoE Null Mice Fed a High-Fat Diet.Genes · 2017Article
- Mathematical model of a telomerase transcriptional regulatory network developed by cell-based screening: analysis of inhibitor effects and telomerase expression mechanisms.PLoS computational biology · 2014Article
- Article
- Article
- Analysis of cardiovascular disease-related NF-κB-regulated genes and microRNAs in TNFα-treated primary mouse vascular endothelial cells.Journal of Zhejiang University. Science. BArticle
- Deficient Radiation Transcription Response in COVID-19 Patients.Advances in radiation oncologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nuclear factor κB (NF-κB) is a ubiquitous transcription factor that plays a pivotal role in controlling important cellular processes, ranging from normal cell growth and differentiation to apoptosis and cancer. In recent years, many new target genes of NF-κB have been identified in several cell lines that were treated with various stimuli using chromatin immunoprecipitation (ChIP)-based high-throughput techniques. However, the target genes from various cell lines and stimuli are not identical, and many of them are cell or stimulus specific. This suggests that it is necessary to investigate different cell lines and stimuli for identifying all target genes of this transcription factor. In this study, the direct target genes (DTGs) of NF-κB in the TNFα-stimulated HeLa cells were identify by using ChIP-Seq, RNAi, and gene expression profiling techniques. As a result, 584 DTGs were identified, in which 266 were activated and 318 were repressed. The κB motif searching revealed that 50 % of these genes contained canonical κB sites in their ChIP peaks and 90 % contained non-canonical κB sites in their ChIP peaks. In comparison with target genes identified in LPS-treated U937 and THP-1, only limited numbers (10∼23) of target genes were shared by each of two cell lines, and only two gene (NFKB2 and STAT5A) were commonly shared by three cell lines.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.