Stabilizing gene regulatory networks through feedforward loops.

TitleStabilizing gene regulatory networks through feedforward loops.
Publication TypeJournal Article
Year of Publication2013
JournalChaos (Woodbury, N.Y.)
Volume23
Issue2
Pagination025107
ISSN1054-1500
Abstract

The global dynamics of gene regulatory networks are known to show robustness to perturbations in the form of intrinsic and extrinsic noise, as well as mutations of individual genes. One molecular mechanism underlying this robustness has been identified as the action of so-called microRNAs that operate via feedforward loops. We present results of a computational study, using the modeling framework of stochastic Boolean networks, which explores the role that such network motifs play in stabilizing global dynamics. The paper introduces a new measure for the stability of stochastic networks. The results show that certain types of feedforward loops do indeed buffer the network against stochastic effects.

URLhttps://dx.doi.org/10.1063/1.4808248
DOI10.1063/1.4808248
Short TitleChaos
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