Intercellular Variability in Protein Levels from Stochastic Expression and Noisy Cell Cycle Processes.

ABSTRACT: Inside individual cells, expression of genes is inherently stochastic and manifests as cell-to-cell variability or noise in protein copy numbers. Since proteins half-lives can be comparable to the cell-cycle length, randomness in cell-division times generates additional intercellular variability in protein levels. Moreover, as many mRNA/protein species are expressed at low-copy numbers, errors incurred in partitioning of molecules between two daughter cells are significant. We derive analytical formulas for the total noise in protein levels when the cell-cycle duration follows a general class of probability distributions. Using a novel hybrid approach the total noise is decomposed into components arising from i) stochastic expression; ii) partitioning errors at the time of cell division an

SUBMITTER: Soltani M 

PROVIDER: S-EPMC4990281 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature