Computational micromodel for epigenetic mechanisms
Raghavan, Karthika, Ruskin, Heather J, Perrin, Dimitri, Goasmat, Francois, & Burns, John (2010) Computational micromodel for epigenetic mechanisms. PLoS One, 5(11), e14031.
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.
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|Item Type:||Journal Article|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||The authors|
|Copyright Statement:||© 2010 Raghavan et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.|
|Deposited On:||24 Mar 2015 03:28|
|Last Modified:||30 Mar 2015 04:47|
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