Title :
Determination of the Metabolic Networks Fluxes Using Carbon Isotopomer Labeling and Metabolic Flux Analysis
Author :
Sang Hun Kim ; Oh, Young-Gyun ; Hyung Seok Choi ; Yun, Choamun ; Sang Yup Lee ; Park, Sunwon
Author_Institution :
Dept. of Chem. & Biomolecular Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon
Abstract :
To determine intracellular fluxes using carbon labeled experimental data, adequate techniques are needed. Metabolic flux analysis (MFA) is a useful method to simulate metabolic networks. Because the measurable extracellular flux data is always insufficient, there are more unknowns than equations. Further information or constraints are required to make fully determined system of which the degrees of freedom (DOF) is zero. It is possible to obtain mass distribution data using the carbon isotope labeling experiment for fermentation experiments. Carbon isotope labeled data can be obtained from C isotope tracer technique and GC-MS (Gas Chromatography-Mass Spectrometry) measurements. In this work, we have developed a metabolic networks simulation tool which can exactly determine intracellular fluxes using carbon isotopomer labeling data. The result can provide strict insight into complex metabolic networks
Keywords :
biochemistry; biological techniques; carbon; cellular biophysics; isomerism; molecular biophysics; C isotope tracer technique; GC-MS measurement; carbon isotopomer labeling; complex metabolic network flux; gas chromatography-mass spectrometry; intracellular flux; metabolic flux analysis; Analytical models; Biochemical analysis; Biochemistry; Chemical analysis; Chemical processes; Chemical technology; Equations; Extracellular; Isotopes; Labeling; Carbon isotopomer; Isotopomer Distributions; Metabolic Flux Analysis; Modeling and Simulation;
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
DOI :
10.1109/SICE.2006.314701