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Dataset Information

Genetic noise control via protein oligomerization.


ABSTRACT:

Background

Gene expression in a cell entails random reaction events occurring over disparate time scales. Thus, molecular noise that often results in phenotypic and population-dynamic consequences sets a fundamental limit to biochemical signaling. While there have been numerous studies correlating the architecture of cellular reaction networks with noise tolerance, only a limited effort has been made to understand the dynamic role of protein-protein interactions.

Results

We have developed a fully stochastic model for the positive feedback control of a single gene, as well as a pair of genes (toggle switch), integrating quantitative results from previous in vivo and in vitro studies. In particular, we explicitly account for the fast binding-unbinding kinetics among proteins,

SUBMITTER: Ghim CM 

PROVIDER: S-EPMC2584638 | biostudies-literature | 2008 Nov

REPOSITORIES: biostudies-literature