NutriGenomeDB

NutriGenomeDB provides integrated access to curated gene expression datasets and pattern-matching analyses to investigate how nutrients and bioactive compounds modulate gene expression in human cells.

Key Features:

• Curated gene sets and data integration: Manually curated gene sets derived from differential expression analyses of nutrigenomics experiments integrated from the Gene Expression Omnibus (GEO).
• Differential expression-based curation: Gene sets are defined based on differential expression analysis of human cells treated with nutrients and bioactive compounds.
• Gene pattern-matching algorithm: A gene pattern-matching algorithm connects external gene signatures to curated nutrigenomics gene sets for comparative analysis.
• Pharmacogenomic linkage: Captures primary molecular mechanisms of pharmaceuticals, such as drugs used to treat hypertension, and relates them to similar effects observed from food compounds.

Scientific Applications:

• Mechanistic nutrigenomics: Investigating molecular mechanisms underlying the beneficial and protective effects of specific foods against chronic diseases.
• Pathway analysis: Examining how nutrients and bioactive compounds modulate gene expression and metabolic pathways in human cells.
• Comparative signature analysis: Connecting external gene signatures to curated nutrigenomics gene sets to identify shared molecular mechanisms of action.
• Cross-disciplinary hypothesis generation: Relating pharmacological modes of action (e.g., drugs used to treat hypertension) to gene expression changes induced by food compounds.

Methodology:

Integration of gene expression data from GEO of human cells treated with nutrients and bioactive compounds; manual curation of gene sets based on differential expression analysis; application of a gene pattern-matching algorithm to connect external gene signatures to curated nutrigenomics gene sets.