Genetic noise control via protein oligomerization
C.-M. Ghim, E. Almaas

TL;DR
This study demonstrates that protein oligomerization, especially dimerization, significantly reduces gene expression noise and stabilizes bistable switches by shifting noise to high frequencies and decreasing random switching, without extra protein components.
Contribution
It introduces a stochastic model showing how protein dimerization buffers genetic noise and enhances robustness of gene regulatory networks.
Findings
Protein dimerization reduces overall noise levels.
Dimerization shifts noise to high-frequency regimes.
Dimer presence decreases toggle switch switching rates.
Abstract
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. Here 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. We find that the overall noise-level is reduced and the frequency content of the noise is dramatically shifted to the physiologically irrelevant high-frequency regime in the presence of protein dimerization. This is…
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