Background: MicroRNAs are the key regulators of gene expression and their abnormal expression
in the immune system may be associated with several human diseases such as inflammation,
cancer and autoimmune diseases. Elucidation of miRNA disease association through the interactome
will deepen the understanding of its disease mechanisms. A specialized database for immune miRNAs
is highly desirable to demonstrate the immune miRNA disease associations in the interactome.
Methods: miRNAs specific to immune related diseases were retrieved from curated databases such as
HMDD, miR2disease and PubMed literature based on MeSH classification of immune system diseases.
The additional data such as miRNA target genes, genes coding protein-protein interaction information
were compiled from related resources. Further, miRNAs were prioritized to specific immune
diseases using random walk ranking algorithm.
Results: In total 245 immune miRNAs associated with 92 OMIM disease categories were identified
from external databases. The resultant data were compiled as ImmunemiR, a database of prioritized
immune miRNA disease associations. This database provides both text based annotation information
and network visualization of its interactome.
Conclusion: To our knowledge, ImmunemiR is the first available database to provide a comprehensive
repository of human immune disease associated miRNAs with network visualization options of its target
genes, protein-protein interactions (PPI) and its disease associations. It is freely available at