ArticleNucleic acids research2018
dbCoRC: a database of core transcriptional regulatory circuitries modeled by H3K27ac ChIP-seq signals.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 43 citations in OpenAlex.
- Highly effective combination of BRG1/BRM inhibitor with BET inhibitor or decitabine for high-risk MECOM-rearranged AML.HemaSphere · 2026Article
- IRF1 is a core transcriptional regulatory circuitry member promoting AML progression by regulating lipid metabolism.Experimental hematology & oncology · 2025Article
- Core transcriptional regulatory circuitry molecule ZNF217 promotes AML cell proliferation by up-regulating MYB.International journal of biological sciences · 2025Article
- Super-enhancer omics in stem cell.Molecular cancer · 2024Review
- Identification of Highly Repetitive Enhancers with Long-range Regulation Potential in Barley via STARR-seq.Genomics, proteomics & bioinformatics · 2024Article
- New genetic and epigenetic insights into the chemokine system: the latest discoveries aiding progression toward precision medicine.Cellular & molecular immunology · 2023Review
- Genomic and Epigenetic Changes Drive Aberrant Skeletal Muscle Differentiation in Rhabdomyosarcoma.Cancers · 2023Review
- Superenhancers as master gene regulators and novel therapeutic targets in brain tumors.Experimental & molecular medicine · 2023Review
- Article
- CDK12 orchestrates super-enhancer-associated CCDC137 transcription to direct hepatic metastasis in colorectal cancer.Clinical and translational medicine · 2022Article
- Computational Methods to Identify Cell-Fate Determinants, Identity Transcription Factors, and Niche-Induced Signaling Pathways for Stem Cell Research.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Interrogating cell type-specific cooperation of transcriptional regulators in 3D chromatin.iScience · 2021Article
- Deep analysis of neuroblastoma core regulatory circuitries using online databases and integrated bioinformatics shows their pan-cancer roles as prognostic predictors.Discover oncology · 2021Article
- Retinoic acid rewires the adrenergic core regulatory circuitry of childhood neuroblastoma.Science advances · 2021Article
- ANANSE: an enhancer network-based computational approach for predicting key transcription factors in cell fate determination.Nucleic acids research · 2021Article
- Targeting histone acetylation dynamics and oncogenic transcription by catalytic P300/CBP inhibition.Molecular cell · 2021Article
- Super-enhancers: a new frontier for epigenetic modifiers in cancer chemoresistance.Journal of experimental & clinical cancer research : CR · 2021Review
- Topography of transcriptionally active chromatin in glioblastoma.Science advances · 2021Article
- Super-enhancer-mediated core regulatory circuitry in human cancer.Computational and structural biotechnology journal · 2021Review
- Keratinocyte-Immune Cell Crosstalk in a STAT1-Mediated Pathway: Novel Insights Into Rosacea Pathogenesis.Frontiers in immunology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Core transcription regulatory circuitry (CRC) is comprised of a small group of self-regulated transcription factors (TFs) and their interconnected regulatory loops. Studies from embryonic stem cells and other cellular models have revealed the elementary roles of CRCs in transcriptional control of cell identity and cellular fate. Systematic identification and subsequent archiving of CRCs across diverse cell types and tissues are needed to explore both cell/tissue type-specific and disease-associated transcriptional networks. Here, we present a comprehensive and interactive database (dbCoRC, http://dbcorc.cam-su.org) of CRC models which are computationally inferred from mapping of super-enhancer and prediction of TF binding sites. The current version of dbCoRC contains CRC models for 188 human and 50 murine cell lines/tissue samples. In companion with CRC models, this database also provides: (i) super enhancer, typical enhancer, and H3K27ac landscape for individual samples, (ii) putative binding sites of each core TF across the super-enhancer regions within CRC and (iii) expression of each core TF in normal or cancer cells/tissues. The dbCoRC will serve as a valuable resource for the scientific community to explore transcriptional control and regulatory circuitries in biological processes related to, but not limited to lineage specification, tissue homeostasis and tumorigenesis.
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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.