Bioinformatics analysis of the gene expression profile in Bladder carcinoma
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | |
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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Genetics and Molecular Biology |
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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 |
format |
article |
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 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
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) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
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1752122385762353152 |