A simulation-free constrained regression approach for flux estimation in isotopically nonstationary metabolic flux analysis with applications in microalgae.

ABSTRACT:

Introduction

Flux phenotypes from different organisms and growth conditions allow better understanding of differential metabolic networks functions. Fluxes of metabolic reactions represent the integrated outcome of transcription, translation, and post-translational modifications, and directly affect growth and fitness. However, fluxes of intracellular metabolic reactions cannot be directly measured, but are estimated via metabolic flux analysis (MFA) that integrates data on isotope labeling patterns of metabolites with metabolic models. While the application of metabolomics technologies in photosynthetic organisms have resulted in unprecedented data from ¹³CO₂-labeling experiments, the bottleneck in flux estimation remains the application of isotopically nonst

SUBMITTER: Kuken A 

PROVIDER: S-EPMC10702240 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature