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Updated: Mar 27, 2026

A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers
Published on: July 18, 2025
Enhanced Identification of Transcriptional Enhancers Provides Mechanistic Insights into Diseases
Yasuhiro Murakawa1, Masahito Yoshihara2, Hideya Kawaji3
1RIKEN Preventive Medicine and Diagnosis Innovation Program, Wako, Saitama 351-0198, Japan; RIKEN Center for Life Science Technologies (CLST), Division of Genomic Technologies (DGT), Kanagawa 230-0045, Japan.
Abstract:
Enhancers are distal cis-regulatory DNA elements that increase the expression of target genes. Various experimental and computational approaches including chromatin signature profiling have been developed to predict enhancers on a genome-wide scale, although each method has its advantages and disadvantages. Here we overview an emerging method to identify transcribed enhancers at exceedingly high nucleotide resolution based on enhancer RNA transcripts captured by Cap Analysis of Gene Expression (CAGE) technology. We further argue that disease-causative regulatory mutations at enhancers are increasingly recognized, emphasizing the importance of enhancer identification in functional and clinical genomics including, but not limited to, genome-wide association studies (GWASs) and cancer genomics studies.
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