Visualization and Analysis of MicroRNAs within KEGG Pathways using VANESA

Area of Science:

• Bioinformatics
• Molecular Biology
• Systems Biology

Background:

• MicroRNAs (miRNAs) are key regulators of gene expression at the post-transcriptional level.
• Existing biological network analysis tools often lack comprehensive miRNA integration.
• Understanding miRNA roles in complex pathways is crucial for biological discovery.

Purpose of the Study:

• To enhance the VANESA platform by integrating experimentally validated human microRNAs (miRNAs).
• To enable visualization and analysis of miRNAs within large biological pathways, including KEGG pathways.
• To demonstrate the utility of integrated miRNA data for discovering novel miRNA-mRNA interactions.

Main Methods:

• Integration of a custom hybrid miRNA database (from miRBase, TarBase, miRTarBase) into VANESA's data source (DAWIS-M.D.).
• Expansion of VANESA's capabilities to include miRNA reconstruction, visualization, and analysis.
• Application of the enhanced VANESA system to analyze the measles virus KEGG pathway as a model.

Main Results:

• 99.15% of human KEGG pathways were found to contain genes targeted by miRNAs or harbor miRNAs.
• Demonstrated the extensive interaction potential of individual miRNAs (e.g., hsa-miR-335-5p targeting 2544 genes).
• Successfully utilized the enhanced VANESA for a proof-of-principle analysis of the measles virus pathway.

Conclusions:

• The enhanced VANESA platform effectively integrates miRNAs into biological networks, facilitating pathway analysis.
• The high prevalence of miRNA involvement in human pathways underscores the importance of their inclusion in network studies.
• Integrating miRNAs into biological networks is essential for elucidating novel and biologically significant miRNA-mRNA interactions.