Robustifying Experimental Tracer Design for¹³C-Metabolic Flux Analysis.

ABSTRACT: ¹³C metabolic flux analysis (MFA) has become an indispensable tool to measure metabolic reaction rates (fluxes) in living organisms, having an increasingly diverse range of applications. Here, the choice of the¹³C labeled tracer composition makes the difference between an information-rich experiment and an experiment with only limited insights. To improve the chances for an informative labeling experiment, optimal experimental design approaches have been devised for¹³C-MFA, all relying on some a priori knowledge about the actual fluxes. If such prior knowledge is unavailable, e.g., for research organisms and producer strains, existing methods are left with a chicken-and-egg problem. In this work, we present a general computational method, termed robustified

SUBMITTER: Beyß M 

PROVIDER: S-EPMC8258161 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature