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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.
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 http://www.biominingbu.org/immunemir/.
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.
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