13C labeling experiments at metabolic nonstationary conditions: An exploratory study

Background: Stimulus Response Experiments to unravel the regulatory properties of metabolic networks are becoming more and more popular. However, their ability to determine enzyme kinetic parameters has proven to be limited with the presently available data. In metabolic flux analysis, the use of 13C labeled substrates together with isotopomer modeling solved the problem of underdetermined networks and increased the accuracy of flux estimations significantly. Results: In this contribution, the idea of increasing the information content of the dynamic experiment by adding 13C labeling is analyzed. For this purpose a small example network is studied by simulation and statistical methods. Different scenarios regarding available measurements are analyzed and compared to a non-labeled reference experiment. Sensitivity analysis revealed a specific influence of the kinetic parameters on the labeling measurements. Statistical methods based on parameter sensitivities and different measurement ...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Sebastian Aljoscha Wahl, Katharina Nöh, Wolfgang Wiechert
• Keywords: BMCBI 2008, Information Gain, Kinetic Parameters, Measurement