EnhFFL
EnhFFL catalogs enhancer-mediated feed-forward loops (FFLs) in human and mouse genomes to support analysis of transcriptional regulatory motifs and their roles in biological processes and diseases, including tumorigenesis.
Key Features:
- Extensive Data Coverage: Contains 46,280/7,000 TF-enhancer-miRNA FFLs, 9,997/236 enhancer-miRNA-gene FFLs, 3,561,164/3,193,182 TF-enhancer-gene FFLs, and 1,259/235 TF-enhancer feed-back loops (FBLs) across 91 tissues or cell lines for human and mouse.
- Element-level Annotations: Provides annotations and queryable attributes for elements including name/ID, genomic location, and conservation status of miRNA target genes.
- Customized Screening: Enables screening of customized FFL sets using thresholds such as q-value and confidence scores for miRNA target genes.
- Disease and Functional Enrichment: Includes disease-association and functional enrichment analyses that highlight master miRNAs implicated in tumorigenesis via TF-enhancer-miRNA and enhancer-miRNA-gene networks.
Scientific Applications:
- Gene Regulation Analysis: Supports investigation of enhancer-mediated FFLs as transcriptional network motifs in human and mouse.
- miRNA Regulatory Studies: Enables analysis of miRNA involvement in FFLs, including target confidence and conservation characteristics.
- Disease Mechanism and Cancer Research: Facilitates exploration of disease associations and the role of master miRNAs in tumorigenesis within FFL contexts.
Methodology:
Compilation of extensive FFL datasets across multiple tissues and cell lines and integration of tools for customized screening and enrichment analysis.
Topics
Details
- License:
- Not licensed
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 9/13/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Kang R, Tan Z, Lang M, Jin L, Zhang Y, Zhang Y, Guo T, Guo Z. EnhFFL: A database of enhancer mediated feed-forward loops for human and mouse. Precision Clinical Medicine. 2021;4(2):129-135. doi:10.1093/pcmedi/pbab006. PMID:35694152. PMCID:PMC8982537.
PMID: 35694152
PMCID: PMC8982537
Funding: - National Natural Science Foundation of China: 32071343
- Sichuan Science and Technology Program: 2021YJ0048