Bridging the gap between gene expression and metabolic phenotype via kinetic models.

ABSTRACT:

Background

Despite the close association between gene expression and metabolism, experimental evidence shows that gene expression levels alone cannot predict metabolic phenotypes, indicating a knowledge gap in our understanding of how these processes are connected. Here, we present a method that integrates transcriptome, fluxome, and metabolome data using kinetic models to create a mechanistic link between gene expression and metabolism.

Results

We developed a modeling framework to construct kinetic models that connect the transcriptional and metabolic responses of a cell to exogenous perturbations. The framework allowed us to avoid extensive experimental characterization, literature mining, and optimization problems by estimating most model parameters directly from fluxome

SUBMITTER: Vital-Lopez FG 

PROVIDER: S-EPMC3733621 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature