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

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2005 ICSC Congress on Computational Intelligence Methods and Applications

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

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

Content Provider	IEEE Xplore Digital Library
Author	Kola, J. Revett, K.
Copyright Year	2005
Description	Author affiliation: Cavendish Sch. of Biosciences, Westminster Univ., London (Kola, J.)
Abstract	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
File Size	1968891
File Format	PDF
ISBN	1424400201
DOI	10.1109/CIMA.2005.1662330
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-15
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tissue damage Computational modeling apoptosis Gene expression Brain injuries Blood flow Pathology ischaemia DNA microarrays gene regulatory networks Space technology self-organising maps DNA Brain modeling Genetics
Content Type	Text
Resource Type	Article

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