Stabilizing gene regulatory networks through feedforward loops

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dc.contributorVirginia Techen
dc.contributor.authorKadelka, Claus Thomasen
dc.contributor.authorMurrugarra, Daviden
dc.contributor.authorLaubenbacher, Reinhard C.en
dc.contributor.departmentMathematicsen
dc.date.accessed2013-11-20en
dc.date.accessioned2013-12-04T14:59:21Zen
dc.date.available2013-12-04T14:59:21Zen
dc.date.issued2013-06en
dc.description.abstractThe 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.en
dc.description.sponsorshipNational Science Foundation CMMI-0908201en
dc.identifier.citationKadelka, C. and Murrugarra, D. and Laubenbacher, R., “Stabilizing gene regulatory networks through feedforward loops,” Chaos 23, 025107 (2013), DOI:http://dx.doi.org/10.1063/1.4808248en
dc.identifier.doihttps://doi.org/10.1063/1.4808248en
dc.identifier.issn1054-1500en
dc.identifier.urihttp://hdl.handle.net/10919/24398en
dc.identifier.urlhttp://scitation.aip.org/content/aip/journal/chaos/23/2/10.1063/1.4808248en
dc.language.isoen_USen
dc.publisherAmerican Institute of Physicsen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectAnimal micrornasen
dc.subjectExpressionen
dc.subjectCanalizationen
dc.subjectRobustnessen
dc.subjectEvolutionen
dc.subjectCanceren
dc.subjectMotifsen
dc.subjectCellsen
dc.titleStabilizing gene regulatory networks through feedforward loopsen
dc.title.serialChaosen
dc.typeArticle - Refereeden

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