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dc.contributor.authorRaghavan, Karthika
dc.contributor.authorRuskin, Heather J
dc.contributor.authorPerrin, Dimitri
dc.contributor.authorGoasmat, Francois
dc.contributor.authorBurns, John
dc.date.accessioned2011-05-05T14:37:29Z
dc.date.available2011-05-05T14:37:29Z
dc.date.issued2010-11
dc.identifier.citationComputational micromodel for epigenetic mechanisms. 2010, 5 (11):e14031 PLoS ONEen
dc.identifier.issn1932-6203
dc.identifier.pmid21152421
dc.identifier.doi10.1371/journal.pone.0014031
dc.identifier.urihttp://hdl.handle.net/10147/129141
dc.description.abstractCharacterization of the epigenetic profile of humans since the initial breakthrough on the human genome project has strongly established the key role of histone modifications and DNA methylation. These dynamic elements interact to determine the normal level of expression or methylation status of the constituent genes in the genome. Recently, considerable evidence has been put forward to demonstrate that environmental stress implicitly alters epigenetic patterns causing imbalance that can lead to cancer initiation. This chain of consequences has motivated attempts to computationally model the influence of histone modification and DNA methylation in gene expression and investigate their intrinsic interdependency. In this paper, we explore the relation between DNA methylation and transcription and characterize in detail the histone modifications for specific DNA methylation levels using a stochastic approach.
dc.language.isoenen
dc.publisherPLosOneen
dc.subject.meshAcetylation
dc.subject.meshAlgorithms
dc.subject.meshComputational Biology
dc.subject.meshDNA Methylation
dc.subject.meshEpigenesis, Genetic
dc.subject.meshEpigenomics
dc.subject.meshHistones
dc.subject.meshHumans
dc.subject.meshMethylation
dc.subject.meshModels, Genetic
dc.subject.meshPhosphorylation
dc.subject.meshProtein Processing, Post-Translational
dc.subject.meshTranscription, Genetic
dc.titleComputational micromodel for epigenetic mechanisms.en
dc.typeArticleen
dc.contributor.departmentCentre for Scientific Computing and Complex Systems Modeling, Dublin City University, Dublin, Ireland. kaghavan@computing.dcu.ieen
dc.identifier.journalPloS oneen
refterms.dateFOA2018-08-22T12:15:31Z
html.description.abstractCharacterization of the epigenetic profile of humans since the initial breakthrough on the human genome project has strongly established the key role of histone modifications and DNA methylation. These dynamic elements interact to determine the normal level of expression or methylation status of the constituent genes in the genome. Recently, considerable evidence has been put forward to demonstrate that environmental stress implicitly alters epigenetic patterns causing imbalance that can lead to cancer initiation. This chain of consequences has motivated attempts to computationally model the influence of histone modification and DNA methylation in gene expression and investigate their intrinsic interdependency. In this paper, we explore the relation between DNA methylation and transcription and characterize in detail the histone modifications for specific DNA methylation levels using a stochastic approach.


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