ArticlePrecision clinical medicine2021
EnhFFL: A database of enhancer mediated feed-forward loops for human and mouse.
Article in Precision clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 10 citations in OpenAlex.
- Review
- SEA version 4.0: a major expansion and update of the Super-Enhancer Archive.Nucleic acids research · 2026Article
- Multiple human enhancer RNAs contain long translated open reading frames.Genes & development · 2025Article
- scAED: a framework for mapping the enhancer state at single-cell resolution.Briefings in bioinformatics · 2025Article
- Dynamic properties of enhancer and promoter during DNA damage in hepatocellular carcinoma.iScience · 2025Article
- Integration of chromosome locations and functional aspects of enhancers and topologically associating domains in knowledge graphs enables versatile queries about gene regulation.Nucleic acids research · 2024Article
- Predicting the Effect of miRNA on Gene Regulation to Foster Translational Multi-Omics Research-A Review on the Role of Super-Enhancers.Non-coding RNA · 2024Review
- Noncanonical functions of microRNAs in the nucleus.Acta biochimica et biophysica Sinica · 2024Review
- Analysis of the landscape of human enhancer sequences in biological databases.Computational and structural biotechnology journal · 2022Article
- Identification and characteristic analysis of enhancers across 13 major cancer types.Precision clinical medicine · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Feed-forward loops (FFLs) are thought to be one of the most common and important classes of transcriptional network motifs involved in various diseases. Enhancers are cis-regulatory elements that positively regulate protein-coding genes or microRNAs (miRNAs) by recruiting DNA-binding transcription factors (TFs). However, a comprehensive resource to identify, store, and analyze the FFLs of typical enhancer and super-enhancer FFLs is not currently available. Here, we present EnhFFL, an online database to provide a data resource for users to browse and search typical enhancer and super-enhancer FFLs. The current database covers 46 280/7000 TF-enhancer-miRNA FFLs, 9997/236 enhancer-miRNA-gene FFLs, 3 561 164/3 193 182 TF-enhancer-gene FFLs, and 1259/235 TF-enhancer feed-back loops (FBLs) across 91 tissues/cell lines of human and mouse, respectively. Users can browse loops by selecting species, types of tissue/cell line, and types of FFLs. EnhFFL supports searching elements including name/ID, genomic location, and the conservation of miRNA target genes. We also developed tools for users to screen customized FFLs using the threshold of
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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.