Programa de Pós-Graduação em Biotecnologia - PPGBIOTEC/ICB
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/6089
O Programa de Pós-Graduação em Biotecnologia (PPGBIOTEC) é um programa do Instituto de Ciências Biológicas (ICB) da Universidade Federal do Pará (UFPA). O PPGBIOTEC fornece a base teórica para o desenvolvimento de projetos em duas áreas de concentração e quatro linhas de pesquisa, definidas de acordo com a competência e experiência de orientação dos docentes do programa: Área de Bioprospecção: linhas de pesquisa: (i) química orgânica de biomoléculas e metabolômica; e (ii) genômica, transcriptômica, proteômica e bioinformática de microrganismos e plantas (Bactéria, Archaea e Eukarya). Área de Biotecnologia Aplicada: linhas de pesquisa: (i) saúde humana e veterinária; e (ii) produção de insumos e processos industriais.
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Navegando Programa de Pós-Graduação em Biotecnologia - PPGBIOTEC/ICB por Orientadores "DARNET, Sylvain Henri"
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Item Acesso aberto (Open Access) Busca e classificação sistemática das proteínas oxigenases com ferro não hêmico em plantas(Universidade Federal do Pará, 2015-03-06) SOUSA, Kellen Rayanne Matos de; DARNET, Sylvain Henri; http://lattes.cnpq.br/4586614214029929Nonheme iron oxygenase proteins shares a conserved domain consisting of eight histidines, and they can be found in eukaryotes and prokaryotes organisms and participate in important pathways of lipid biosynthesis. To understand the evolutionary relationship among these proteins, we performed comparative and phylogenetic analyzes in prokaryotes and eukaryotes that allowed a classification of this family, nonexistent until now. The search of sequences resulted in a collection of 448 proteins, belonging to 58 organisms previously selected. The multiple alignment made with MAFFT (BLOSUM 62; L-INS-i) showed the presence of three histidine-rich motifs, with conserved spacing among them. The classification made with CLANS software has generated 28 clusters through of similarity among sequences. Two clusters contain sequences that had no similarity to proteins already characterized, and 48 sequences were not assigned to any of the 28 clusters. In the collection, 119 sequences are derived from plants, distributed in 7 clusters corresponding to C4 methysterol monooxygenase, C5 sterol desaturase, fatty acid hydroxylase, sphingolipid C4 monooxygenase, aldehyde decarbonylase, β-carotene hydroxylase and Acyl-ACP desaturase functions. Phylogenetic analysis using maximum likelihood method with PhyML tool showed the formation of well-defined groups that were similar to generated by CLANS. These results start to fill a gap existing so far about the evolutionary relationship and classification of nonheme iron oxygenases. Also, suggest that within this family there are still proteins with unknown functions, reinforcing the need for more studies of functional characterization.Item Acesso aberto (Open Access) Identificação de polimorfismos de nucleotídeo único com efeitos deletérios em transcriptomas de câncer gástrico(Universidade Federal do Pará, 2015-09-29) SILVA, Viviane Santos da; DARNET, Sylvain Henri; http://lattes.cnpq.br/4586614214029929Gastric cancer is one of the leading causes of cancer mortality in the world. Its development is associated with factors related to lifestyle and genetic alterations that can modify genes and important biosynthetic and metabolic pathways that help maintaining cellular and tissue integrity. One of the main cancer research objectives is identify genes and mutations that may be used as genetic markers and potential therapeutic targets. Studies with genes related to the pathway of steroid hormones proteins have already identified polymorphisms that may be related to the risk of cancer. Because it is an important route for physiological and pathological processes identification of genetic polymorphisms in this and cholesterol biosynthesis pathway may contribute to the understanding of gastric carcinogenesis. Therefore, we performed a comprehensive bioinformatics analysis of transcriptome datasets from gastric tissues with and without cancer, in order to identify SNPs in genes associated to enzymes of biosynthetic pathways of steroid hormones, cholesterol and progesterone receptor that may be related to gastric cancer. The analysis was performed using the Galaxy Platform, the Bowtie alignment tool and the Provean software for functional analysis of variations. Deleterious mutations have been identified in CYP51A1, DHCR24 and SQLE genes in the steroid hormone biosynthesis pathway, and in CYP3A5, HSD17B12, UGT1A1, UGT1A5, UGT1A6 and AKR1C3 genes in the cholesterol biosynthetic pathway. The CYP3A5 gene had the highest number of deleterious SNPs. These results indicate a possible participation of genes analyzed in the molecular mechanisms involved in the development of gastric cancer.Item Acesso aberto (Open Access) Método de identificação de genes taxonomicamente restritos em dados de RNA-seq em organismo não modelo(Universidade Federal do Pará, 2015-09-28) OLIVEIRA, Lorena Silva de; DARNET, Sylvain Henri; http://lattes.cnpq.br/4586614214029929Black pepper (Piper nigrum) is a biotechnologically interesting plant, research target for both metabolism exploration and improvement related to phytopathological problems, in addition to understanding the evolution of basal angiosperms, ancestral group to which it belongs. With the technological revolution, the next generation sequencing offered access to genetic heritage of non model plants enabling the opening of new biotechnological perspective. The identification of non homologous genes restricted to certain species, called taxonomically restricted genes (TRGs), is a primary biotechnological target, especially in species and groups that are divergent and ancestral. This study aims to establish a method for TRGs identification from RNA-seq data and to validate the approach a dataset for black pepper. The method consists in filtering the transcripts in several stages, so that the annotated transcripts and false positives are removed, and the remaining data without molecular information are classified as potential TRGs. The application of this approach to a black pepper transcriptome dataset (35,631 transcripts) resulted in 22,661 transcripts annotated by similarity. The transcripts that were not annotated in this first analysis were processed in the TRAPID tool, resulting in 12,895 transcripts not annotated. The evaluation of transcripts for false positive detection resulted in 245 true transcripts that were analyzed for the presence of non-coding RNA, resulting in 204 unidentified transcripts. At the end of the method application 71 non annotated transcripts remained with coding regions of protein, indicating potential TRGs. The characterization of these potential TRGs in black pepper can provide new information about the molecular mechanism of this specie and perhaps elucidate pathways for the establishment of cultivars tolerant to disease.