title: In vivo stationary flux analysis by 13C labeling experiments.
abstract: Stationary flux analysis is an invaluable tool for metabolic engineering. In the last years the metabolite balancing technique has become well established in the bioengineering community. On the other hand metabolic tracer experiments using 13C isotopes have long been used for intracellular flux determination. Only recently have both techniques been fully combined to form a considerably more powerful flux analysis method. This paper concentrates on modeling and data analysis for the evaluation of such stationary 13C labeling experiments. After reviewing recent experimental developments, the basic equations for modeling carbon labeling in metabolic systems, i.e. metabolite, carbon label and isotopomer balances, are introduced and discussed in some detail. Then the basics of flux estimation from measured extracellular fluxes combined with carbon labeling data are presented and, finally, this method is illustrated by using an example from C. glutamicum. The main emphasis is on the investigation of the extra information that can be obtained with tracer experiments compared with the metabolite balancing technique alone. As a principal result it is shown that the combined flux analysis method can dispense with some rather doubtful assumptions on energy balancing and that the forward and backward flux rates of bidirectional reaction steps can be simultaneously determined in certain situations. Finally, it is demonstrated that the variant of fractional isotopomer measurement is even more powerful than fractional labeling measurement but requires much higher numerical effort to solve the balance equations.
authors.affiliation: Institute of Biotechnology, Research Center Jülich, Germany.
authors.forename: W
authors.initials: W
authors.lastname: Wiechert
authors.forename: A A
authors.initials: AA
authors.lastname: de Graaf
mesh_terms: D001692:Biological Transport; D001709:Biotechnology / Q000639:trends*; D002247:Carbon Isotopes; D005591:Chemical Fractionation; D003198:Computer Simulation; D005110:Extracellular Space / Q000378:metabolism*; D007553:Isotope Labeling / Q000379:methods*; D009682:Magnetic Resonance Spectroscopy; D008954:Models, Biological
chemical_list: D002247:Carbon Isotopes