PaIntDB: network-based omics integration and visualization using protein-protein interactions in Pseudomonas...

Area of Science:

• Microbiology
• Systems Biology
• Bioinformatics

Background:

• Pseudomonas aeruginosa is a medically significant pathogen.
• Understanding its molecular mechanisms requires comprehensive interaction data.
• Existing tools may lack integration capabilities for diverse omics datasets.

Purpose of the Study:

• To develop an intuitive web-based tool for network-based systems biology analyses of P. aeruginosa.
• To integrate and visualize protein-protein interactions (PPI) with omics data (RNA-Seq, Tn-Seq).
• To provide a comprehensive and extensible platform for studying bacterial pathogens.

Main Methods:

• Development of the Pseudomonas aeruginosa Interaction Database (PaIntDB) as a web server.
• Collection and curation of P. aeruginosa protein-protein interactions from various resources.
• Integration of computational predictions to expand the interactome.
• Implementation of visualization and filtering tools for omics data mapping onto PPI networks.

Main Results:

• PaIntDB offers the most comprehensive P. aeruginosa interactome to date.
• The tool enables integration and visualization of RNA-Seq and Tn-Seq data with PPI networks.
• Users can explore and filter networks to identify novel molecular pathways.
• The web server is designed for extensibility to other bacterial species.

Conclusions:

• PaIntDB provides a valuable resource for network-based systems biology in P. aeruginosa.
• The integrated approach facilitates the discovery of condition-specific molecular pathways.
• The platform's design supports broader applications in bacterial research.