ArticleDatabase : the journal of biological databases and curation2019
SELER: a database of super-enhancer-associated lncRNA- directed transcriptional regulation in human cancers.
Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 23 citations in OpenAlex.
- dbscATAC: a resource of single-cell super-enhancers/enhancers and gene markers derived from scATAC-seq data.Bioinformatics (Oxford, England) · 2025Article
- The role of super-enhancer-driven lncRNAs in cancer.Computational and structural biotechnology journal · 2025Review
- SE-lncRNAs in Cancer: Classification, Subcellular Localisation, Function and Corresponding TFs.Journal of cellular and molecular medicine · 2024Review
- Super-enhancer omics in stem cell.Molecular cancer · 2024Review
- Super enhancer lncRNAs: a novel hallmark in cancer.Cell communication and signaling : CCS · 2024Review
- Super-enhancers complexes zoom in transcription in cancer.Journal of experimental & clinical cancer research : CR · 2023Review
- Computational methods for identifying enhancer-promoter interactions.Quantitative biology (Beijing, China) · 2023Review
- Superenhancers as master gene regulators and novel therapeutic targets in brain tumors.Experimental & molecular medicine · 2023Review
- Non-coding RNAs in human health and disease: potential function as biomarkers and therapeutic targets.Functional & integrative genomics · 2023Review
- LncRNA H19: a novel player in the regulation of diabetic kidney disease.Frontiers in endocrinology · 2023Review
- A novel oncogenic seRNA promotes nasopharyngeal carcinoma metastasis.Cell death & disease · 2022Article
- Biomolecular condensates in cancer biology.Cancer science · 2022Review
- Super-enhancer-associated long noncoding RNA AC005592.2 promotes tumor progression by regulating OLFM4 in colorectal cancer.BMC cancer · 2021Article
- LincSNP 3.0: an updated database for linking functional variants to human long non-coding RNAs, circular RNAs and their regulatory elements.Nucleic acids research · 2021Article
- Roles of Noncoding RNA in Reproduction.Frontiers in genetics · 2021Review
- Principles and innovative technologies for decrypting noncoding RNAs: from discovery and functional prediction to clinical application.Journal of hematology & oncology · 2020Review
- Oncogenic seRNA functional activation: a novel mechanism of tumorigenesis.Molecular cancer · 2020Review
- SEA version 3.0: a comprehensive extension and update of the Super-Enhancer archive.Nucleic acids research · 2020Article
- The emerging role of super enhancer-derived noncoding RNAs in human cancer.Theranostics · 2020Review
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Super-enhancers (SEs) are enriched with a cluster of mediator binding sites, which are major contributors to cell-type-specific gene expression. Currently, a large quantity of long non-coding RNAs has been found to be transcribed from or to interact with SEs, which constitute super-enhancer associated long non-coding RNAs (SE-lncRNAs). These SE-lncRNAs play essential roles in transcriptional regulation through controlling SEs activity to regulate a broad range of physiological and pathological processes, especially tumorigenesis. However, the pathological functions of SE-lncRNAs in tumorigenesis are still obscure. In this paper, we characterized 5056 SE-lncRNAs and their associated genes by analysing 102 SE data sets. Then, we analysed their expression profiles and prognostic information derived from 19 cancer types to identify cancer-related SE-lncRNAs and to explore their potential functions. In total, 436 significantly differentially expressed SE-lncRNAs and 2035 SE-lncRNAs with high prognostic values were identified. Additionally, 3935 significant correlations between SE-lncRNAs and their regulatory genes were further validated by calculating their correlation coefficients in each cancer type. Finally, the SELER database incorporating the aforementioned data was provided for users to explore their physiological and pathological functions to comprehensively understand the blocks of living systems.
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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.