Integrated interactions database: tissue-specific view of the human and model organism interactomes

Area of Science:

• Bioinformatics
• Molecular Biology
• Genomics

Background:

• Protein-protein interactions (PPIs) are crucial for cellular functions.
• Understanding tissue-specific PPIs is essential for deciphering complex biological processes.
• Existing databases often lack comprehensive tissue-specific and cross-species interaction data.

Purpose of the Study:

• To introduce the Integrated Interactions Database (IID), a novel resource for tissue-specific PPIs.
• To provide a unified platform for querying PPIs across multiple model organisms and human.
• To facilitate the study of conserved and tissue-specific interactions.

Main Methods:

• Integrated experimentally validated PPIs, orthologous PPIs, and predicted PPIs.
• Annotated PPIs with tissue specificity based on gene and protein expression data.
• Developed cross-species search capabilities using orthologs.
• Implemented advanced query, analysis, and data visualization tools.

Main Results:

• IID contains over 1.5 million PPIs among 68,831 proteins across six species.
• Provides tissue annotations for interactions in up to 30 tissues per species.
• Offers enhanced capabilities compared to the previous I2D database, including larger networks and better visualization.

Conclusions:

• IID is a valuable and comprehensive resource for researchers studying PPIs in a tissue-specific context.
• The database facilitates comparative genomics and the identification of conserved interactions.
• IID significantly advances the study of protein interactions in model organisms and humans.