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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/44214
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dc.creatorEliane Macedo Sobrinho Santospt_BR
dc.creatorHércules Otacílio Santospt_BR
dc.creatorIvoneth dos Santos Diaspt_BR
dc.creatorSergio Henrique Sousa Santospt_BR
dc.creatorAlfredo Maurício Batista de Paulapt_BR
dc.creatorJohn David Feltenbergerpt_BR
dc.creatorAndré Luiz Sena Guimarãespt_BR
dc.creatorLucyana Conceição Fariaspt_BR
dc.date.accessioned2022-08-12T11:45:20Z-
dc.date.available2022-08-12T11:45:20Z-
dc.date.issued2016-12-06-
dc.citation.volume5pt_BR
dc.citation.issue4pt_BR
dc.citation.spage199pt_BR
dc.citation.epage219pt_BR
dc.identifier.issn2251-9637pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/44214-
dc.description.resumoPathogenesis of odontogenic tumors is not well known. It is important to identify genetic deregulations and molecular alterations. This study aimed to investigate, through bioinformatic analysis, the possible genes involved in the pathogenesis of ameloblastoma (AM) and keratocystic odontogenic tumor (KCOT). Genes involved in the pathogenesis of AM and KCOT were identified in GeneCards. Gene list was expanded, and the gene interactions network was mapped using the STRING software. “Weighted number of links” (WNL) was calculated to identify “leader genes” (highest WNL). Genes were ranked by K-means method and Kruskal-Wallis test was used (P<0.001). Total interactions score (TIS) was also calculated using all interaction data generated by the STRING database, in order to achieve global connectivity for each gene. The topological and ontological analyses were performed using Cytoscape software and BinGO plugin. Literature review data was used to corroborate the bioinformatics data. CDK1 was identified as leader gene for AM. In KCOT group, results show PCNA and TP53. Both tumors exhibit a power law behavior. Our topological analysis suggested leader genes possibly important in the pathogenesis of AM and KCOT, by clustering coefficient calculated for both odontogenic tumors (0.028 for AM, zero for KCOT). The results obtained in the scatter diagram suggest an important relationship of these genes with the molecular processes involved in AM and KCOT. Ontological analysis for both AM and KCOT demonstrated different mechanisms. Bioinformatics analyzes were confirmed through literature review. These results may suggest the involvement of promising genes for a better understanding of the pathogenesis of AM and KCOT.pt_BR
dc.description.sponsorshipCNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológicopt_BR
dc.description.sponsorshipFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas Geraispt_BR
dc.description.sponsorshipCAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superiorpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofInternational Journal of Molecular and Cellular Medicinept_BR
dc.rightsAcesso Abertopt_BR
dc.subject.otherCarcinogênesept_BR
dc.subject.otherTumores odontogênicospt_BR
dc.subject.otherCélulas - Proliferaçãopt_BR
dc.subject.otherBioinformáticapt_BR
dc.titleBioinformatics analysis reveals genes involved in the pathogenesis of ameloblastoma and keratocystic odontogenic tumorpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353982/pt_BR
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