Show simple item record

dc.contributorVirginia Tech
dc.contributor.authorKadelka, C.
dc.contributor.authorMurrugarra, D.
dc.contributor.authorLaubenbacher, R.
dc.date.accessioned2013-12-04T14:59:21Z
dc.date.available2013-12-04T14:59:21Z
dc.date.issued2013-06
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_US
dc.identifier.issn1054-1500
dc.identifier.urihttp://hdl.handle.net/10919/24398
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_US
dc.description.sponsorshipNational Science Foundation CMMI-0908201
dc.language.isoen_US
dc.publisherAmerican Institute of Physics
dc.subjectAnimal micrornas
dc.subjectExpression
dc.subjectCanalization
dc.subjectRobustness
dc.subjectEvolution
dc.subjectCancer
dc.subjectMotifs
dc.subjectCells
dc.titleStabilizing gene regulatory networks through feedforward loops
dc.typeArticle
dc.identifier.urlhttp://scitation.aip.org/content/aip/journal/chaos/23/2/10.1063/1.4808248
dc.date.accessed2013-11-20
dc.title.serialChaos
dc.identifier.doihttps://doi.org/10.1063/1.4808248


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record