ArticleNucleic acids research2019
SEanalysis: a web tool for super-enhancer associated regulatory analysis.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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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.
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Who cites it
35 citing papers in PubMed, 46 citations in OpenAlex.
- PROTACs in cancer therapy: targeted degradation of GPX4, PARP and epigenetic regulators.Journal of enzyme inhibition and medicinal chemistry · 2026Review
- Integrating gene expression, genomic, and phosphoproteomic data to infer transcription factor activity in lung cancer.NAR genomics and bioinformatics · 2025Article
- SEgene identifies links between super enhancers and gene expression across cell types.NPJ systems biology and applications · 2025Article
- Interplay and cooperation between GLI2 and master transcription factors promote progression of esophageal squamous cell carcinoma.American journal of human genetics · 2025Article
- Exploring methylation signatures for high de novo recurrence risk in hepatocellular carcinoma.Clinical and molecular hepatology · 2025Article
- Super-enhancer omics in stem cell.Molecular cancer · 2024Review
- Analysis of blood methylation quantitative trait loci in East Asians reveals ancestry-specific impacts on complex traits.Nature genetics · 2024Article
- Super-Enhancers and Their Parts: From Prediction Efforts to Pathognomonic Status.International journal of molecular sciences · 2024Review
- Pathogenic role of super-enhancers as potential therapeutic targets in lung cancer.Frontiers in pharmacology · 2024Review
- Mechanistic insights into super-enhancer-driven genes as prognostic signatures in patients with glioblastoma.Journal of cancer research and clinical oncology · 2023Article
- Super-enhancers complexes zoom in transcription in cancer.Journal of experimental & clinical cancer research : CR · 2023Review
- SEanalysis 2.0: a comprehensive super-enhancer regulatory network analysis tool for human and mouse.Nucleic acids research · 2023Article
- CenhANCER: a comprehensive cancer enhancer database for primary tissues and cell lines.Database : the journal of biological databases and curation · 2023Article
- Superenhancers as master gene regulators and novel therapeutic targets in brain tumors.Experimental & molecular medicine · 2023Review
- CanMethdb: a database for genome-wide DNA methylation annotation in cancers.Bioinformatics (Oxford, England) · 2023Article
- The molecular understanding of super-enhancer dysregulation in cancer.Nagoya journal of medical science · 2022Review
- ESR1 mutant breast cancers show elevated basal cytokeratins and immune activation.Nature communications · 2022Article
- TF-Marker: a comprehensive manually curated database for transcription factors and related markers in specific cell and tissue types in human.Nucleic acids research · 2022Article
- Analysis of the landscape of human enhancer sequences in biological databases.Computational and structural biotechnology journal · 2022Article
- Employing core regulatory circuits to define cell identity.The EMBO journal · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Super-enhancers (SEs) have prominent roles in biological and pathological processes through their unique transcriptional regulatory capability. To date, several SE databases have been developed by us and others. However, these existing databases do not provide downstream or upstream regulatory analyses of SEs. Pathways, transcription factors (TFs), SEs, and SE-associated genes form complex regulatory networks. Therefore, we designed a novel web server, SEanalysis, which provides comprehensive SE-associated regulatory network analyses. SEanalysis characterizes SE-associated genes, TFs binding to target SEs, and their upstream pathways. The current version of SEanalysis contains more than 330 000 SEs from more than 540 types of cells/tissues, 5042 TF ChIP-seq data generated from these cells/tissues, DNA-binding sequence motifs for ∼700 human TFs and 2880 pathways from 10 databases. SEanalysis supports searching by either SEs, samples, TFs, pathways or genes. The complex regulatory networks formed by these factors can be interactively visualized. In addition, we developed a customizable genome browser containing >6000 customizable tracks for visualization. The server is freely available at http://licpathway.net/SEanalysis.
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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.