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Updated: Jan 16, 2026

A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers

A Web-Based Workflow for Selecting Gene- and Tissue-Specific Enhancers

Published on: July 18, 2025

ePerturbDB: enhancer's experimental perturbation database.

Samiksha Maurya¹, Jaidev Sharma¹, Amit Mandoli²

¹Department of Computational Biology, Indraprastha Institute of Information Technology, New Delhi 110020, India.

Database : the Journal of Biological Databases and Curation

|January 15, 2026

Summary

This summary is machine-generated.

A new database, ePerturbDB, catalogs 83,743 enhancer perturbations to identify key regulatory elements. This resource aids in discovering effective enhancer-based therapeutics and understanding gene regulation.

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Area of Science:

Genomics
Molecular Biology
Systems Biology

Background:

Enhancers are cis-regulatory elements controlling gene expression.
Perturbing enhancers can alter gene expression and cell properties, but effects vary.
Identifying effective enhancers for therapeutic targeting is crucial.

Purpose of the Study:

To create a comprehensive database of enhancer perturbation effects.
To provide a resource for identifying enhancers that can be effectively targeted for therapeutics.
To aid in understanding gene regulation and cell state determination.

Main Methods:

Compilation of 83,743 experimental enhancer perturbations.
Development of the ePerturbDB database for searching perturbation data.
Integration of tools for comparing genomic loci and identifying enriched genes/ontology terms.

Main Results:

ePerturbDB offers a searchable repository of enhancer perturbation data.
Users can identify potential effects of perturbing specific genomic loci.
The database links perturbed enhancers to enriched genes and ontology terms.

Conclusions:

ePerturbDB serves as a valuable resource for enhancer research.
The database facilitates hypothesis generation for enhancer-based therapeutics.
It aids in inferring regulatory mechanisms controlling cell states.