Programa de Pós-Graduação em Genética e Biologia Molecular - PPGBM/ICB
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/8839
O Programa de Pós-Graduação em Genética e Biologia Molecular (PPGBM) do Instituto de Ciências Biológicas (ICB) da Universidade Federal do Pará (UFPA). Tem como objetivo geral promover a formação de profissionais da área de Ciências Biológicas, informática e áreas afins, preparando-os como docentes, pesquisadores e profissionais técnicos especializados, buscando a melhoria da qualidade do ensino e o progresso do conhecimento, com aplicações diretas ou indiretas ao desenvolvimento nacional e à melhoria de condições de vida, particularmente dos habitantes da região amazônica, assim como a conservação da biodiversidade, ecossistemas e recursos naturais.
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Item Acesso aberto (Open Access) Biologia molecular aplicada à hanseníase: estudo de parâmetros genéticos e epigenéticos em uma amostra do estado do Pará(Universidade Federal do Pará, 2016-09-02) PINTO, Pablo Diego do Carmo; SANTOS, Ândrea Kely Campos Ribeiro dos; http://lattes.cnpq.br/3899534338451625Leprosy is caused by Mycobacterium leprae and patients can be grouped in Paucibacillary and Multibacillary. Alternatively, according by Ridley-Jopling (1966), using immune-hystogical criteria, grouped in two distinct pole: (i) Tuberculóide (TT); and (ii) lepromatous (LL), and your intermediaries. Independently these classification, the disease can be affected by molecules that modulates immune response, like genes that encode these molecules, and by small RNA (micro-RNA), wich regulated these genes, thus these study can improve the knowledge about the mechanism of response to infectious process, as well as enable the identification of new possibles biomarkers to assist diagnosis in leprosy. The objective of this study was to investigate eight INDEL polymorphisms on genes CYP19A1, NFKβ1, IL1α, CASP8, UGT1A1, PAR1, CYP2E1, and IL4, to identify possible susceptibility markers of leprosy and evaluate the influence of genetic ancestry on disease risk. Besides was performed the first genome wide miRNA profiling of Leprosy by next generation sequencing (NGS), assessing and describing the expression standard in leprosy. Our study shows that the NFKβ1, CASP8, PAR1, IL4 and CYP19A1 genes are possible markers for the susceptibility to development of leprosy and the severe clinical form MB. Moreover, after correcting for population structure within an admixture population, the results show that different levels of ethnic group composition can generate different OR rates for leprosy susceptibility. The differential expression profile from tissue samples reveal 67 miRNAs differentially expression, with 43 down and 24 upregulated and from blood sample were found a total of 10 miRNAs differentially expression with 9 down and one upregulated. Moreover was performed in silico target analysis and detect the genes (IL1β, IL6, IL8, IL12, TLR2, TLR4, IL17RB, IFNGR1, TGFBR1, NFκβ, família SMAD, STAT3, CASP8, CYP19A1, BCL-2, in others) involved on pathological of leprosy. Lastly, was showed for the first time the genome wide microRNA of leprosy.Item Acesso aberto (Open Access) Perfil de expressão de microRNAs no câncer oral(Universidade Federal do Pará, 2016-03-11) LOPES, Camile de Barros; SANTOS, Ândrea Kely Campos Ribeiro dos; http://lattes.cnpq.br/3899534338451625Oral squamous cell carcinoma (OSCC) is a multifactorial disease involving genetic, epigenetic and environmental factors. It is characterized by a pattern of aggressive growth, high metastatic potential and high mortality rates. Despite advances in technology in the surgical treatment, radiotherapy and chemotherapy, the five-year survival rate has no significant improvement in recent years. By regulating the expression of target genes, microRNAs play an important role in the initiation and progression of human cancers. Therefore, they are a promising tool for the identification of biomarkers of risk, as well as prognostic and therapeutic targets. In order to investigate the miRNAs expression profile in ten tissues of OSCC were characterized based on data generated from high-performance sequencing. Furthermore, by qPCR we assessed the adjacent tissue to the OSCC for four miRNAs. The results showed 17 differentially expressed miRNAs were able to discriminate the tissue without cancer. Among these, we found seven new miRNAs (hsalet- 7c, hsa-miR-10a, hsa-miR-199a, hsa-miR-381, hsa-miR-501, hsa-miR-654 and hsamiR- 941) which are not described in the literature their participation in OSCC. Additionally, we found that the four miRNAs hsa-miR-221, hsa-miR-21, hsa-miR-135b and hsa-miR-29c presented overexpression in the adjacent tissue, confirming the field cancerization effect. The results revealed that these miRNAs are potential biomarkers occurring in OSCC with the ability to identify individuals at high risk of developing this type of cancer, and indicate their utility as potential therapeutic targets.Item Acesso aberto (Open Access) Repercussões das análises de bioinformática nos resultados da expressão diferencial de genes e seus reguladores miRNAs no câncer gástrico(Universidade Federal do Pará, 2018-09-13) ARAÚJO, Emily Vanessa Nascimento; SANTOS, Ândrea Kely Campos Ribeiro dos; http://lattes.cnpq.br/3899534338451625The cancer, according to Globocan, in 2018, was responsible for a rate of 8.2 million deaths and about 14.1 million new cases. Regarding the analysis of gastric cancer (GC), in the state of Pará, it was estimated that for the year 2018 the number of affected men would be 23.30 and 11.45 for women. In the development of gastric adenocarcinoma, several significantly increased molecular alterations were identified when compared to non-cancerous tissues. One of these elements are miRNAS, small non-coding RNAs that act on the regulation of gene expression and can act as oncogenes or tumor suppressors. The objective of this study was to investigate the possibility of genes from tumor samples (deposited in The Cancer Genome Atlas - TCGA database) to be modified by differentially expressed miRNAs. The analysis was performed by sequencing platform, RNA-Seq, and used the software R-peridot in differential expression analysis, whose result identified six miRNAs. Next, the miRTargetLink Human platform identified eight miRNA target genes between tumor samples and their corresponding adjacent CG tissues. Functional analyzes identified important genes that can be enriched by three pathways associated with cancer: focal adhesion, RAP1 signaling pathway and calcium signaling pathway. Finally, the use of the Z-Score calculation confirmed significant findings.