EpimiR

EpimiR catalogs mutual regulatory interactions between microRNAs (miRNAs) and epigenetic modifications, integrating 1,974 documented interactions from over 300 references across seven species to support analysis of gene-expression regulation and disease-related mechanisms.

Key Features:

• Comprehensive Data Collection: EpimiR compiles 1,974 documented regulatory interactions involving 617 miRNAs and 19 types of epigenetic modifications, including DNA methylation, histone acetylation, H3K4me3, and H3S10p, across Homo sapiens, Mus musculus, Rattus norvegicus, Gallus gallus, Epstein-Barr virus, Canis familiaris, and Arabidopsis thaliana.
• Sectional Categorization: The database is organized into miR2Epi (103 entries describing how miRNAs regulate epigenetic modifications) and Epi2miR (1,871 entries describing how epigenetic modifications influence miRNAs).
• Detailed Experimental Annotations: Each entry provides descriptions of experimental validation, methodologies employed, species involved, and literature references.
• Regulatory Pathway Visualization: The resource delineates pathways through which miRNAs and epigenetic modifications regulate one another to clarify mechanistic relationships.
• Predictive Epigenetic Features: EpimiR includes predicted transcription start sites and upstream CpG islands associated with miRNAs.
• Literature Integration: Data are curated from over 300 scientific references to consolidate experimentally supported interactions.

Scientific Applications:

• Regulatory mechanism analysis: Investigating mutual regulation between miRNAs and epigenetic modifications in gene-expression control.
• Oncology: Studying miRNA–epigenetic interactions implicated in cancer pathogenesis and progression.
• Developmental biology: Exploring roles of miRNA–epigenetic crosstalk in development.
• Virology: Analyzing interactions involving viral entities such as Epstein-Barr virus that affect host gene regulation.
• Therapeutic target discovery: Informing identification of miRNA–epigenetic mechanisms as potential targets for therapeutic strategies.

Methodology:

Data were compiled through an extensive literature review and manual data curation to include experimentally validated interactions.