ImmunemiR - A Database of Prioritized Immune miRNA Disease Associations and its Interactome

Archana Prabahar1, Jeyakumar Natarajan2

  • 1Data Mining and Text Mining Laboratory, Department of Bioinformatics, Bharathiar University, Coimbatore, Tamil Nadu 641 046. India.

Abstract

Insights

A new database, ImmunemiR, identifies 245 immune microRNAs linked to 92 diseases. This resource aids understanding of microRNA roles in immune diseases and their interactions.

Area of Science:

  • Molecular Biology
  • Genetics
  • Immunology

Background:

  • MicroRNAs (miRNAs) are crucial gene expression regulators.
  • Aberrant miRNA expression in the immune system is linked to inflammation, cancer, and autoimmune diseases.
  • Understanding miRNA-disease associations via interactome analysis is key to elucidating disease mechanisms.

Purpose of the Study:

  • To develop a specialized database for immune-related microRNAs (miRNAs).
  • To demonstrate immune miRNA-disease associations within a biological network (interactome).
  • To provide a comprehensive resource for researchers studying immune system diseases.

Main Methods:

  • Immune disease-specific miRNAs were gathered from databases (HMDD, miR2disease) and PubMed using MeSH terms.
  • Data on miRNA targets, protein-protein interactions (PPI), and disease associations were compiled.
  • A random walk ranking algorithm was employed to prioritize miRNAs for specific immune diseases.

Main Results:

  • Identified 245 immune miRNAs associated with 92 OMIM disease categories.
  • Compiled these findings into the ImmunemiR database.
  • ImmunemiR offers text-based annotations and network visualizations of miRNA-disease interactions.

Conclusions:

  • ImmunemiR is the first database offering a comprehensive repository of human immune disease-associated miRNAs.
  • The database includes network visualization of target genes, PPIs, and disease associations.
  • ImmunemiR is freely accessible at http://www.biominingbu.org/immunemir/ for research use.