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computational micromodel for epigenetic mechanisms计算微模型的表观遗传机制
Computational Micromodel for Epigenetic Mechanisms 1 1 1 1 2 Karthika Raghavan *, Heather J. Ruskin , Dimitri Perrin , Francois Goasmat , John Burns 1 Centre for Scientific Computing and Complex Systems Modeling, Dublin City University, Dublin, Ireland, 2 Institute of Technology, Tallaght, Ireland 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. Citation: Raghavan K, Ruskin HJ, Perrin D, Goasmat F, Burns J (2010) Computational Micromodel for Epigenetic Mechanisms. PLoS ONE 5(11): e14031. doi:10.1371/journal.pone.0014031 Editor: Alfons Navarro, University of Barcelona, Spain Received April 7, 2010; Accepted October 26, 2010; Published November 30, 2010 Copyright: 2010 Raghavan et al. This is an open-access article distributed under the terms of the Creative Commons Attr
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