GEN3VA

GEN3VA aggregates and integratively analyzes collections of gene expression signatures from GEO to identify conserved transcriptional responses, perform cross-study enrichment analyses, and predict small molecules that mimic or reverse aggregated signatures.

Key Features:

• Data Aggregation and Tagging: Compiles collections of tagged gene expression signatures extracted from the Gene Expression Omnibus (GEO) for themed, cross-study analysis.
• Comprehensive Reporting: Produces heatmaps of differentially expressed genes, principal component analysis (PCA) of aggregated signatures, and enrichment vector analysis across multiple gene set libraries.
• Predictive Mapping: Maps small molecules predicted to reverse or mimic aggregated gene expression signatures to support therapeutic hypothesis generation.

Scientific Applications:

• Aging Studies: Analyzed 244 studies comparing young versus old tissues across mammalian systems to identify common molecular mechanisms associated with aging.
• Drug Response Analysis: In a case study of human cells treated with dexamethasone (a glucocorticoid receptor agonist), confirmed consensus glucocorticoid receptor target genes and predicted potential drug mimickers.

Methodology:

Aggregates themed collections of gene expression signatures, generates heatmaps, performs principal component analysis (PCA), executes enrichment vector analysis across multiple gene set libraries, and maps small molecules predicted to reverse or mimic signatures.