2006 AIChE Annual Meeting
(124e) A Hierarchical Approach to Identify Phenotype Relevant Pathways
Authors
The hierarchical framework consisted of three stages. 1) Different phenotypes induced by TNF-alpha and FFA were characterized, for example, a cytotoxic phenotype was characterized by the level of lactate dehydrogenase (LDH) release. Important metabolites that contribute to separating the phenotype were identified using a discriminant analysis of the twenty seven metabolites. Relevant metabolic pathways were suggested by the identified metabolites. 2) cDNA microarray was used to measure the global gene expression changes induced by FFAs and TNF-alpha. Gene set enrichment analysis (GSEA) of the microarray data identified the relevant pathways in addition to those identified by the metabolite analysis. The pathways identified to be enriched included mitochondria-related pathways, oxidative-stress-related pathways and fatty acid metabolism. 3) Finally, the gene expression and metabolite profiles were integrated with genetic algorithm coupled partial least squares analysis (GA/PLS) to identify the genes most relevant to the metabolites identified in the first step to be highly correlated with the cytotoxicity. GA/PLS was applied to identify the genes relevant to a metabolite, for example intracellular triglyceride accumulation, which suggested potential pathways for modulating the phenotype. The cytotoxic and cytoprotective pathways identified, as well as the experimentally validated pathways will be discussed.