title: Steady-state ¹³C fluxomics using OpenFLUX.
abstract: Metabolic flux estimation using (13)C isotopic tracers ((13)C-MFA) provides a greater resolution of intracellular fluxes than using only cell growth and consumption/production rates. However, (13)C-MFA is computationally more demanding. A nonlinear least-square optimization process is employed to constrain metabolic fluxes using atom balance models and experimentally measured (13)C labelling pattern of intracellular or proteinogenic metabolites. OpenFLUX was therefore developed for the purpose of streamlining the computational workflow. Here, we describe in detail the computational procedure for performing (13)C-MFA using OpenFLUX. We also provide some helpful information on model reconstruction and GC-MS data treatment.
authors.affiliation: Australian Institute for Bioengineering and Nanotechnology (AIBN), The University of Queensland, Building 75, Corner of College and Cooper Road, Brisbane, QLD, 4072, Australia.
authors.forename: Lake-Ee
authors.initials: LE
authors.lastname: Quek
authors.forename: Lars K
authors.initials: LK
authors.lastname: Nielsen
mesh_terms: D002247:Carbon Isotopes / Q000378:metabolism; D016018:Least-Squares Analysis; D064688:Metabolic Flux Analysis / Q000379:methods*; D053858:Metabolic Networks and Pathways / Q000502:physiology*; D008954:Models, Biological; D012984:Software
chemical_list: D002247:Carbon Isotopes