Jump to main content
Jump to site search

Issue 11, 2014
Previous Article Next Article

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

Author affiliations

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 shape of the expression profile. Synthesis and degradation rates do not correlate within one treatment, consistent with their independent regulation. When performing robustness analyses of the rate estimates, we observed that most genes adhere to one of two major modes of regulation, which we term synthesis- and degradation-independent regulation. These two modes, in which only one of the rates has to be tightly set, while the other one can assume various values, offer an efficient way for the cell to respond to stimuli and re-establish proteostasis. We experimentally validate degradation-independent regulation under oxidative stress for the heatshock protein Ssa4.

Graphical abstract: One third of dynamic protein expression profiles can be predicted by a simple rate equation

Back to tab navigation

Supplementary files

Publication details

The article was received on 18 Jun 2014, accepted on 25 Jul 2014 and first published on 01 Aug 2014


Article type: Paper
DOI: 10.1039/C4MB00358F
Citation: Mol. BioSyst., 2014,10, 2850-2862
  •   Request permissions

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

    K. Tchourine, C. S. Poultney, L. Wang, G. M. Silva, S. Manohar, C. L. Mueller, R. Bonneau and C. Vogel, Mol. BioSyst., 2014, 10, 2850
    DOI: 10.1039/C4MB00358F

Search articles by author

Spotlight

Advertisements