Novel context-specific genome-scale modelling explores the potential of triacylglycerol production by Chlamydomonas reinhardtii.

ABSTRACT: Gene expression data of cell cultures is commonly measured in biological and medical studies to understand cellular decision-making in various conditions. Metabolism, affected but not solely determined by the expression, is much more difficult to measure experimentally. Finding a reliable method to predict cell metabolism for expression data will greatly benefit metabolic engineering. We have developed a novel pipeline, OVERLAY, that can explore cellular fluxomics from expression data using only a high-quality genome-scale metabolic model. This is done through two main steps: first, construct a protein-constrained metabolic model (PC-model) by integrating protein and enzyme information into the metabolic model (M-model). Secondly, overlay the expression data onto the PC-model using a novel

SUBMITTER: Yao H 

PROVIDER: S-EPMC9847032 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature