A network view on Schizophrenia related genes

This study is a part of a project investigating the molecular determinants of neurological diseases. To account for the systemic nature of these diseases we proceeded from a well established list of 38 schizophrenia-related genes (Allen et al., 2008; Ross et al., 2006) and investigated their closest...

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Main Authors: Sreedevi Chandrasekaran, Danail G. Bonchev
Format: Article
Language:English
Published: International Academy of Ecology and Environmental Sciences 2012-03-01
Series:Network Biology
Subjects:
Online Access:http://www.iaees.org/publications/journals/nb/articles/2012-2(1)/network-view-on-Schizophrenia-related-genes.pdf
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spelling doaj-96feb5f76dc64997bc6618c8e526de1a2020-11-24T22:24:49ZengInternational Academy of Ecology and Environmental SciencesNetwork Biology2220-88792012-03-01211625A network view on Schizophrenia related genesSreedevi ChandrasekaranDanail G. BonchevThis study is a part of a project investigating the molecular determinants of neurological diseases. To account for the systemic nature of these diseases we proceeded from a well established list of 38 schizophrenia-related genes (Allen et al., 2008; Ross et al., 2006) and investigated their closest network environment. The created networks were compared to recently proposed list of 173 schizophrenia related genes (Sun et al., 2009). 115 genes were predicted as potentially related to schizophrenia and subjected to GSEA. The enriched groups of proteins included neuromodulators, neurotransmitters and lipid transport. Over 100 signaling pathways were found significantly involved, signal transduction emerging as the most highly significant biological process. Next, we analyzed two microarray expression datasets derived from olfactory mucosa biopsies of schizophrenic patients and postmortem brain tissue samples from SMRIDB. The systems biology analysis resulted in a number of other genes predicted to be potentially related to schizophrenia, as well as in additional information of interest for elucidating molecular mechanisms of schizophrenia.http://www.iaees.org/publications/journals/nb/articles/2012-2(1)/network-view-on-Schizophrenia-related-genes.pdfSchizophrenianetwork analysismicroarray expression data
collection DOAJ
language English
format Article
sources DOAJ
author Sreedevi Chandrasekaran
Danail G. Bonchev
spellingShingle Sreedevi Chandrasekaran
Danail G. Bonchev
A network view on Schizophrenia related genes
Network Biology
Schizophrenia
network analysis
microarray expression data
author_facet Sreedevi Chandrasekaran
Danail G. Bonchev
author_sort Sreedevi Chandrasekaran
title A network view on Schizophrenia related genes
title_short A network view on Schizophrenia related genes
title_full A network view on Schizophrenia related genes
title_fullStr A network view on Schizophrenia related genes
title_full_unstemmed A network view on Schizophrenia related genes
title_sort network view on schizophrenia related genes
publisher International Academy of Ecology and Environmental Sciences
series Network Biology
issn 2220-8879
publishDate 2012-03-01
description This study is a part of a project investigating the molecular determinants of neurological diseases. To account for the systemic nature of these diseases we proceeded from a well established list of 38 schizophrenia-related genes (Allen et al., 2008; Ross et al., 2006) and investigated their closest network environment. The created networks were compared to recently proposed list of 173 schizophrenia related genes (Sun et al., 2009). 115 genes were predicted as potentially related to schizophrenia and subjected to GSEA. The enriched groups of proteins included neuromodulators, neurotransmitters and lipid transport. Over 100 signaling pathways were found significantly involved, signal transduction emerging as the most highly significant biological process. Next, we analyzed two microarray expression datasets derived from olfactory mucosa biopsies of schizophrenic patients and postmortem brain tissue samples from SMRIDB. The systems biology analysis resulted in a number of other genes predicted to be potentially related to schizophrenia, as well as in additional information of interest for elucidating molecular mechanisms of schizophrenia.
topic Schizophrenia
network analysis
microarray expression data
url http://www.iaees.org/publications/journals/nb/articles/2012-2(1)/network-view-on-Schizophrenia-related-genes.pdf
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