Stabilizing gene regulatory networks through feedforward loops.

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.

• Publication year

  2013

• Venue

  Chaos

• Publication date

  2013-04-30

• Fields of study

  Biology, Physics, Computer Science, Mathematics, Medicine

• Identifiers
  DOI 10.1063/1.4808248arXiv 1304.8077PMID 23822505
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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