Kinetic profiling of metabolic specialists demonstrates stability and consistency of in vivo enzyme turnover numbers.

ABSTRACT: Enzyme turnover numbers (k_cats) are essential for a quantitative understanding of cells. Because k_cats are traditionally measured in low-throughput assays, they can be inconsistent, labor-intensive to obtain, and can miss in vivo effects. We use a data-driven approach to estimate in vivo k_cats using metabolic specialist Escherichia coli strains that resulted from gene knockouts in central metabolism followed by metabolic optimization via laboratory evolution. By combining absolute proteomics with fluxomics data, we find that in vivo k_cats are robust against genetic perturbations, suggesting that metabolic adaptation to gene loss is mostly achieved through other mechanisms, like gene-regulatory changes. Combining

SUBMITTER: Heckmann D 

PROVIDER: S-EPMC7502767 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature