Literature DB >> 35694152

EnhFFL: A database of enhancer mediated feed-forward loops for human and mouse.

Ran Kang1, Zhengtang Tan1, Mei Lang1, Linqi Jin1, Yin Zhang1, Yiming Zhang1, Tailin Guo2, Zhiyun Guo1.   

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 q value as well as the confidence score of miRNA target genes. Disease and functional enrichment analysis showed that master miRNAs that are widely engaged in FFLs including TF-enhancer-miRNAs and enhancer-miRNA-genes are significantly involved in tumorigenesis. Database URL:http://lcbb.swjtu.edu.cn/EnhFFL/.
© The Author(s) 2021. Published by Oxford University Press on behalf of the West China School of Medicine & West China Hospital of Sichuan University.

Entities:  

Keywords:  database; enhancer; feed-forward loop; miRNA; transcription factor

Year:  2021        PMID: 35694152      PMCID: PMC8982537          DOI: 10.1093/pcmedi/pbab006

Source DB:  PubMed          Journal:  Precis Clin Med        ISSN: 2516-1571


  37 in total

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Journal:  Nucleic Acids Res       Date:  2018-01-04       Impact factor: 16.971

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