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Computational modelling of the gene expression profile from acute ischaemic brain injury

Kola, Jay and Revett, Kenneth (2005) Computational modelling of the gene expression profile from acute ischaemic brain injury. In: 2005 ICSC Congress on Computational Intelligence Methods and Applications. IEEE Computer Society, USA. ISBN 1424400201


Official URL: http://dx.doi.org/10.1109/CIMA.2005.1662330


The ensuing events subsequent to cerebral ischaemia are complex and multi-faceted, making it difficult to extract causal relationships between the various pathways that are altered during ischaemia. In this study, we analyse a comprehensive DNA microarray dataset of acute experimental ischaemic stroke, in an effort to elucidate key regulatory elements that participate in the triggering of the pathways that lead to tissue damage. The data suggest that genes responsible for immediate early genes, apoptosis, neurotransmitter receptors (principally glutamate), and inflammation are differentially expressed at various time points subsequent to experimental ischaemia. Using unsupervised clustering (self-organising maps) and gene regulatory networks, we were able to establish a framework within which we could place the resultant gene expression changes into. Although not yet complete, the results from this study indicate that even a complicated pathology such as ischaemia can be analysed in a biologically meaningful way using DNA microarray technology.

Item Type:Book Section
Uncontrolled Keywords:Apoptosis, DNA microarrays, gene regulatory networks, ischaemia, self-organising maps
Research Community:University of Westminster > Life Sciences, School of
University of Westminster > Electronics and Computer Science, School of
ID Code:2216
Deposited On:28 Jun 2006
Last Modified:11 Aug 2010 15:30

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