(34g) Exploring Biosynthetic Control in Lipid Metabolism
AIChE Annual Meeting
2006
2006 Annual Meeting
Systems Biology
Multiscale Systems Biology
Monday, November 13, 2006 - 10:18am to 10:36am
Lipid metabolism, organization, and transport have been implicated in numerous human diseases ranging from atherosclerosis to cancer to Alzheimer's. Although much is known about the role of lipids and sterols in regulating the biophysical properties of membranes, integrating multiple state measurements which link the genetic architecture to physiology promises to aid in the development of models describing biosynthetic control. Here, we coupled gene expression profiling with metabolomic, lipidomic, and fluxomic techniques to generate a large-scale experimental data set in the yeast Saccharomyces cerevisiae, a model organism for studying higher eukaryotic cells. Our investigation explores the systems-level response of S. cerevisiae grown in chemostat cultures at eight different growth conditions where three factors were varied: 1) high temperature (30°C) versus low temperature (15°C), 2) carbon versus nitrogen limitation, and 3) aerobic versus anaerobic growth. While transcriptional response alone was insufficient to predict metabolic phenotype, characterizing the molecular inventory and operation of the cell in the framework of an expanded genome-scale metabolic model of lipid metabolism clarified existing, and revealed new, regulatory motifs underlying lipid biosynthesis. These results underscore the importance of interrogating genomic, metabolomic, and network information in large-scale models and promises to impact strategies for treatment of obesity related diseases and engineering yeast strains with improved physiological performance at low temperatures.