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:: Volume 5, Number 4 (Int J Mol Cell Med 2016) ::
Int J Mol Cell Med 2016, 5(4): 199-219 Back to browse issues page
Bioinformatics Analysis Reveals Genes Involved in the Pathogenesis of Ameloblastoma and Keratocystic Odontogenic Tumor
Eliane Macedo Sobrinho Santos1, Hércules Otacílio Santos2, Ivoneth dos Santos Dias3, Sérgio Henrique Santos4, Alfredo Maurício Batista de Paula1, John David Feltenberger5, André Luiz Sena Guimarães1, Lucyana Conceição Farias *6
1- Department of Dentistry, Universidade Estadual de Montes Claros, Minas Gerais, Brazil., Department of Dentistry, Universidade Estadual de Montes Claros, Minas Gerais, Brazil.
2- Instituto Federal do Norte de Minas Gerais-Campus Salinas, Minas Gerais, Brazil., Instituto Federal do Norte de Minas Gerais-Campus Salinas, Minas Gerais, Brazil.
3- Department of Biology, Universidade Estadual de Montes Claros, Minas Gerais, Brazil., Department of Biology, Universidade Estadual de Montes Claros, Minas Gerais, Brazil.
4- Department of Pharmacology, Universidade Federal de Minas Gerais, Brazil., Department of Pharmacology, Universidade Federal de Minas Gerais, Brazil.
5- Texas Tech University Health Science Center, Lubbock, TX, USA., Texas Tech University Health Science Center, Lubbock, TX, USA.
6- Department of Dentistry, Universidade Estadual de Montes Claros, Minas Gerais, Brazil., Department of Dentistry, Universidade Estadual de Montes Claros, Minas Gerais, Brazil. , lucyanacfarias@gmail.com
Abstract:   (1401 Views)

Pathogenesis 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.

Keywords: Ameloblastoma, keratocystic odontogenic tumor, Cell proliferation, Apoptosis, Leader genes
Full-Text [PDF 3809 kb]   (601 Downloads)    
Type of Study: Original Article | Subject: Bioinformatic
Received: 2016/08/10 | Accepted: 2016/10/10 | Published: 2016/12/7
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DOI: 10.22088/acadpub.BUMS.5.4.199


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Macedo Sobrinho Santos E, Otacílio Santos H, dos Santos Dias I, Henrique Santos S, Maurício Batista de Paula A, Feltenberger J D, et al . Bioinformatics Analysis Reveals Genes Involved in the Pathogenesis of Ameloblastoma and Keratocystic Odontogenic Tumor. Int J Mol Cell Med. 2016; 5 (4) :199-219
URL: http://ijmcmed.org/article-1-577-en.html
Volume 5, Number 4 (Int J Mol Cell Med 2016) Back to browse issues page
International Journal of Molecular and Cellular Medicine (IJMCM) International Journal of Molecular and Cellular Medicine (IJMCM)
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