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Abstract #0057

Human Melanoma Metabolic Network Analysis with Combined 13C NMR/Bioreactor Technique: Testing the Warburg Effect

Alexander A. Shestov1, Anthony Mancuso2, 3, Pierre-Gilles Henry1, Dennis B. Leeper4, Jerry D. Glickson2

1CMRR, Radiology, University of Minnesota, Minneapolis, MN, United States; 2Radiology, University of Pennsylvania, Perelman School of Medicine; 3Abramson Comprehensive Cancer Center; 4Radiation Oncology, Thomas Jefferson University

 

Keywords

account acid activity adapted adding advantage aerobic agreement allows analyzed anticipate assuming assumption available beads becoming best biochemical bonded cancer carried cell cells changing close collagen combined comes coming comprehensive conditions considering continuous contribution corresponds courses culture cultured curves cycle deriving detailed determination determine determined differential doublet dynamic effective energy enzyme equal equations errors every excellent exchange exhibit exists experimental feasibility fine fitting flux fluxes general generate glucose glutamate goal goodness grown henry human important in vivo included intracellular kinetic labeled labeling lactate lactic loaded measured mechanisms melanoma metabolic metabolism metabolites minimization model modeling much multiplets network numerical optimal oxidative oxygen participating particular pathway pathways perfusion phosphate pool precision predicted procedures production proper radiation radiology recorded reduces relatively represent residuals school sensitive significantly simplex simulations since situ source spectra spectrometer spectroscopy spectrum square steady stirred structure substantial substrates suggests system takes tank terms together tool transport tumor tumors validated vary verifying whereas yields