TissueNet

TissueNet maps tissue-specific protein-protein interactions (PPIs) by integrating thousands of human tissue transcriptomes to enable analysis of protein function and phenotypic associations across 125 adult and seven embryonic tissues.

Key Features:

• Tissue-Sensitive Network Views: Generates network views that reflect the specific tissue context of query proteins, showing interactions conditional on tissue expression.
• Highlighting Expression Patterns: Distinguishes tissue-specific and broadly expressed proteins and identifies over- and under-expressed proteins per tissue.
• Extensive Dataset Coverage: Incorporates transcriptome data across 125 adult tissues and seven embryonic tissues from thousands of samples to support tissue-resolved PPI analysis.

Scientific Applications:

• Molecular and developmental biology: Supports investigation of tissue-specific PPIs underlying protein function in molecular biology, genetics, and developmental biology.
• Phenotype association: Enables analysis of how protein interactions contribute to tissue-specific phenotypic outcomes by linking expression patterns to PPIs.
• Biomarker and therapeutic target discovery: Facilitates identification of candidate biomarkers or therapeutic targets for diseases with tissue-specific manifestations.

Methodology:

Integrates data from thousands of tissue transcriptomes to construct tissue-resolved PPI maps and analyzes expression patterns to identify tissue-specific, broadly expressed, and over- or under-expressed proteins.