Bioinformatics analysis of the gene expression profile in Bladder carcinoma

Detalhes bibliográficos
Autor(a) principal: Xiao,Jing
Data de Publicação: 2013
Outros Autores: Yiqing,Qiu
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Genetics and Molecular Biology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000200021
Resumo: Bladder carcinoma, which has the ninth highest incidence among malignant tumors in the world, is a complex, multifactorial disease. The malignant transformation of bladder cells results from DNA mutations and alterations in gene expression levels. In this work, we used a bioinformatics approach to investigate the molecular mechanisms of bladder carcinoma. Biochips downloaded from the Gene Expression Omnibus (GEO) were used to analyze the gene expression profile in urinary bladder cells from individuals with carcinoma. The gene expression profile of normal genomes was used as a control. The analysis of gene expression revealed important alterations in genes involved in biological processes and metabolic pathways. We also identified some small molecules capable of reversing the altered gene expression in bladder carcinoma; these molecules could provide a basis for future therapies for the treatment of this disease.
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spelling Bioinformatics analysis of the gene expression profile in Bladder carcinomaBladder carcinomadifferential expressionexpression profilesmall molecular mimicsusceptibility forecastBladder carcinoma, which has the ninth highest incidence among malignant tumors in the world, is a complex, multifactorial disease. The malignant transformation of bladder cells results from DNA mutations and alterations in gene expression levels. In this work, we used a bioinformatics approach to investigate the molecular mechanisms of bladder carcinoma. Biochips downloaded from the Gene Expression Omnibus (GEO) were used to analyze the gene expression profile in urinary bladder cells from individuals with carcinoma. The gene expression profile of normal genomes was used as a control. The analysis of gene expression revealed important alterations in genes involved in biological processes and metabolic pathways. We also identified some small molecules capable of reversing the altered gene expression in bladder carcinoma; these molecules could provide a basis for future therapies for the treatment of this disease.Sociedade Brasileira de Genética2013-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000200021Genetics and Molecular Biology v.36 n.2 2013reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572013005000015info:eu-repo/semantics/openAccessXiao,JingYiqing,Qiueng2013-06-07T00:00:00Zoai:scielo:S1415-47572013000200021Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2013-06-07T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv Bioinformatics analysis of the gene expression profile in Bladder carcinoma
title Bioinformatics analysis of the gene expression profile in Bladder carcinoma
spellingShingle Bioinformatics analysis of the gene expression profile in Bladder carcinoma
Xiao,Jing
Bladder carcinoma
differential expression
expression profile
small molecular mimic
susceptibility forecast
title_short Bioinformatics analysis of the gene expression profile in Bladder carcinoma
title_full Bioinformatics analysis of the gene expression profile in Bladder carcinoma
title_fullStr Bioinformatics analysis of the gene expression profile in Bladder carcinoma
title_full_unstemmed Bioinformatics analysis of the gene expression profile in Bladder carcinoma
title_sort Bioinformatics analysis of the gene expression profile in Bladder carcinoma
author Xiao,Jing
author_facet Xiao,Jing
Yiqing,Qiu
author_role author
author2 Yiqing,Qiu
author2_role author
dc.contributor.author.fl_str_mv Xiao,Jing
Yiqing,Qiu
dc.subject.por.fl_str_mv Bladder carcinoma
differential expression
expression profile
small molecular mimic
susceptibility forecast
topic Bladder carcinoma
differential expression
expression profile
small molecular mimic
susceptibility forecast
description Bladder carcinoma, which has the ninth highest incidence among malignant tumors in the world, is a complex, multifactorial disease. The malignant transformation of bladder cells results from DNA mutations and alterations in gene expression levels. In this work, we used a bioinformatics approach to investigate the molecular mechanisms of bladder carcinoma. Biochips downloaded from the Gene Expression Omnibus (GEO) were used to analyze the gene expression profile in urinary bladder cells from individuals with carcinoma. The gene expression profile of normal genomes was used as a control. The analysis of gene expression revealed important alterations in genes involved in biological processes and metabolic pathways. We also identified some small molecules capable of reversing the altered gene expression in bladder carcinoma; these molecules could provide a basis for future therapies for the treatment of this disease.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000200021
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572013000200021
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-47572013005000015
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.publisher.none.fl_str_mv Sociedade Brasileira de Genética
publisher.none.fl_str_mv Sociedade Brasileira de Genética
dc.source.none.fl_str_mv Genetics and Molecular Biology v.36 n.2 2013
reponame:Genetics and Molecular Biology
instname:Sociedade Brasileira de Genética (SBG)
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collection Genetics and Molecular Biology
repository.name.fl_str_mv Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)
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