Computational micromodel for epigenetic mechanisms.

Hdl Handle:
http://hdl.handle.net/10147/129141
Title:
Computational micromodel for epigenetic mechanisms.
Authors:
Raghavan, Karthika; Ruskin, Heather J; Perrin, Dimitri; Goasmat, Francois; Burns, John
Affiliation:
Centre for Scientific Computing and Complex Systems Modeling, Dublin City University, Dublin, Ireland. kaghavan@computing.dcu.ie
Citation:
Computational micromodel for epigenetic mechanisms. 2010, 5 (11):e14031 PLoS ONE
Publisher:
PLosOne
Journal:
PloS one
Issue Date:
Nov-2010
URI:
http://hdl.handle.net/10147/129141
DOI:
10.1371/journal.pone.0014031
PubMed ID:
21152421
Abstract:
Characterization 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.
Item Type:
Article
Language:
en
MeSH:
Acetylation; Algorithms; Computational Biology; DNA Methylation; Epigenesis, Genetic; Epigenomics; Histones; Humans; Methylation; Models, Genetic; Phosphorylation; Protein Processing, Post-Translational; Transcription, Genetic
ISSN:
1932-6203

Full metadata record

DC FieldValue Language
dc.contributor.authorRaghavan, Karthikaen
dc.contributor.authorRuskin, Heather Jen
dc.contributor.authorPerrin, Dimitrien
dc.contributor.authorGoasmat, Francoisen
dc.contributor.authorBurns, Johnen
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

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