title: Computational micromodel for epigenetic mechanisms.
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.
authors.affiliation: Centre for Scientific Computing and Complex Systems Modeling, Dublin City University, Dublin, Ireland. kaghavan@computing.dcu.ie
authors.forename: Karthika
authors.initials: K
authors.lastname: Raghavan
authors.forename: Heather J
authors.initials: HJ
authors.lastname: Ruskin
authors.forename: Dimitri
authors.initials: D
authors.lastname: Perrin
authors.forename: Francois
authors.initials: F
authors.lastname: Goasmat
authors.forename: John
authors.initials: J
authors.lastname: Burns
mesh_terms: D000107:Acetylation; D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D019175:DNA Methylation; D044127:Epigenesis, Genetic; D057890:Epigenomics / Q000379:methods; D006657:Histones / Q000378:metabolism*; D006801:Humans; D008745:Methylation; D008957:Models, Genetic; D010766:Phosphorylation; D011499:Protein Processing, Post-Translational; D014158:Transcription, Genetic
chemical_list: D006657:Histones