ArticleNPJ systems biology and applications2018
A network of epigenomic and transcriptional cooperation encompassing an epigenomic master regulator in cancer.
Article in NPJ systems biology and applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Chromatin regulator expression patterns predict prognosis and guide neoadjuvant therapy in esophageal squamous cell carcinoma.Fundamental research · 2026Article
- Exploring cooperation among social pathogens: a computational perspective.FEMS microbiology reviews · 2026Review
- Strategies for the drug development of cancer therapeutics.Frontiers in pharmacology · 2025Review
- Interaction and Collaboration of SP1, HIF-1, and MYC in Regulating the Expression of Cancer-Related Genes to Further Enhance Anticancer Drug Development.Current issues in molecular biology · 2023Review
- Multifaceted Transcriptional Network of Estrogen-Related Receptor Alpha in Health and Disease.International journal of molecular sciences · 2023Review
- The role of epigenetics in T-cell lymphoma.International journal of hematology · 2022Review
- Bottom-Up Approach to the Discovery of Clinically Relevant Biomarker Genes: The Case of Colorectal Cancer.Cancers · 2022Article
- Artificial intelligence in cancer target identification and drug discovery.Signal transduction and targeted therapy · 2022Review
- Review
- Prostanoid Signaling in Cancers: Expression and Regulation Patterns of Enzymes and Receptors.Biology · 2022Article
- Computational identification of new potential transcriptional partners of ERRα in breast cancer cells: specific partners for specific targets.Scientific reports · 2022Article
- Article
- Epigenetic landscape of drug responses revealed through large-scale ChIP-seq data analyses.BMC bioinformatics · 2022Article
- Article
- Multi-omics integration strategies for animal epigenetic studies - A review.Animal bioscience · 2021Article
- Employing core regulatory circuits to define cell identity.The EMBO journal · 2021Review
- The role of epigenetic modifications for the pathogenesis of Crohn's disease.Clinical epigenetics · 2021Review
- CpG content-dependent associations between transcription factors and histone modifications.PloS one · 2021Article
- Recombinant human bone morphogenetic protein 2 and 7 inhibit the degeneration of intervertebral discs by blocking the Puma-dependent apoptotic signaling.International journal of biological sciences · 2021Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Coordinated experiments focused on transcriptional responses and chromatin states are well-equipped to capture different epigenomic and transcriptomic levels governing the circuitry of a regulatory network. We propose a workflow for the genome-wide identification of epigenomic and transcriptional cooperation to elucidate transcriptional networks in cancer. Gene promoter annotation in combination with network analysis and sequence-resolution of enriched transcriptional motifs in epigenomic data reveals transcription factor families that act synergistically with epigenomic master regulators. By investigating complementary omics levels, a close teamwork of the transcriptional and epigenomic machinery was discovered. The discovered network is tightly connected and surrounds the histone lysine demethylase KDM3A, basic helix-loop-helix factors MYC, HIF1A, and SREBF1, as well as differentiation factors AP1, MYOD1, SP1, MEIS1, ZEB1, and ELK1. In such a cooperative network, one component opens the chromatin, another one recognizes gene-specific DNA motifs, others scaffold between histones, cofactors, and the transcriptional complex. In cancer, due to the ability to team up with transcription factors, epigenetic factors concert mitogenic and metabolic gene networks, claiming the role of a cancer master regulators or epioncogenes. Significantly, specific histone modification patterns are commonly associated with open or closed chromatin states, and are linked to distinct biological outcomes by transcriptional activation or repression. Disruption of patterns of histone modifications is associated with the loss of proliferative control and cancer. There is tremendous therapeutic potential in understanding and targeting histone modification pathways. Thus, investigating cooperation of chromatin remodelers and the transcriptional machinery is not only important for elucidating fundamental mechanisms of chromatin regulation, but also necessary for the design of targeted therapeutics.
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.