DSEA

DSEA analyzes drug-induced gene expression profiles to identify molecular pathways and shared mechanisms of action (MoA) among drug sets.

Key Features:

• Phenotype-Specific Pathway Identification: DSEA dilutes drug-specific gene expression changes unrelated to the phenotype to highlight pathways specifically associated with the desired phenotypic outcome.
• Mechanism of Action Hypothesis Generation: By detecting pathways consistently enriched across multiple drugs, DSEA supports formulation of hypotheses about shared molecular MoAs.
• Validation and Application: The approach has been validated on drug sets from established pharmacological classes and applied to identify MoAs shared by drugs partially rescuing mutant CFTR in Cystic Fibrosis.

Scientific Applications:

• Drug Repurposing: Identifying candidate existing drugs that act via shared pathways relevant to a target phenotype.
• Target Identification: Revealing molecular pathways and nodes for potential therapeutic targeting based on shared pathway enrichment.
• Pharmacological Research: Characterizing common pharmacological effects and interactions across diverse compound sets.

Methodology:

DSEA leverages drug-induced gene expression data to perform enrichment analysis, compares expression profiles across a set of drugs to identify significantly enriched pathways, and dilutes drug-specific expression changes unrelated to the phenotype to emphasize shared, phenotype-relevant pathways; the method has been demonstrated on diverse drug sets including those related to Cystic Fibrosis and CFTR-rescuing drugs.