Metabolomics and fluxomics approaches

Area of Science:

• Systems biology
• Metabolomics
• Fluxomics

Background:

• Systems biology aims to predict whole system behavior from its components.
• Metabolomics bridges the genotype-phenotype gap by reflecting organismal phenotype.
• Predicting phenotype requires understanding intracellular metabolic fluxes, not just metabolite levels.

Purpose of the Study:

• To provide an overview of metabolomics and fluxomics.
• To highlight stable isotope strategies for fluxome characterization.
• To discuss tools for analyzing metabolic network control and their role in drug discovery.

Main Methods:

• Utilizing '-omics' technologies and computational algorithms.
• Employing metabolomics to amplify proteome changes and represent phenotype.
• Estimating intracellular fluxes via stable isotope patterns in metabolites.

Main Results:

• Metabolomics offers a better phenotype representation than other methods.
• Quantitative intracellular flux knowledge is essential for characterizing metabolic networks.
• Stable isotope tracing enables the estimation of intracellular metabolic fluxes.

Conclusions:

• Metabolomics and fluxomics are key to understanding complex cellular regulation.
• Metabolic control theories offer a holistic paradigm for cell metabolism.
• These fields hold significant promise for future drug discovery applications.