One third of dynamic protein expression profiles can be predicted by a simple rate equation.

ABSTRACT: Cells respond to environmental stimuli with expression changes at both the mRNA and protein level, and a plethora of known and unknown regulators affect synthesis and degradation rates of the resulting proteins. To investigate the major principles of gene expression regulation in dynamic systems, we estimated protein synthesis and degradation rates from parallel time series data of mRNA and protein expression and tested the degree to which expression changes can be modeled by a simple linear differential equation. Examining three published datasets for yeast responding to diamide, rapamycin, and sodium chloride treatment, we find that almost one-third of genes can be well-modeled, and the estimated rates assume realistic values. Prediction quality is linked to low measurement noise and the

SUBMITTER: Tchourine K 

PROVIDER: S-EPMC4183714 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature