Kinetic modelling of quantitative proteome data predicts metabolic reprogramming of liver cancer.

ABSTRACT:

Background

Metabolic alterations can serve as targets for diagnosis and cancer therapy. Due to the highly complex regulation of cellular metabolism, definite identification of metabolic pathway alterations remains challenging and requires sophisticated experimentation.

Methods

We applied a comprehensive kinetic model of the central carbon metabolism (CCM) to characterise metabolic reprogramming in murine liver cancer.

Results

We show that relative differences of protein abundances of metabolic enzymes obtained by mass spectrometry can be used to assess their maximal velocity values. Model simulations predicted tumour-specific alterations of various components of the CCM, a selected number of which were subsequently verified by in vitro and in vivo experiments. Further

SUBMITTER: Berndt N 

PROVIDER: S-EPMC7052204 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature