Interações do Lettuce mosaic vírus (LMV) x afídeos vetores nas regiões produtoras de alface (Lactuca sativa L.) do cinturão verde de São Paulo

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise das possíveis regiões organizadoras nucleolares e da atividade nucleolar em Triatoma melanocephalae T. lenti, importantes vetores da doença de Chagas

Triatoma melanocephalae T. lentisão espécies crípticas de triatomíneos pertencentes ao subcomplexo Brasiliensis. Esses organismos foram agrupados no subcomplexo apenas por caracteres morfológicos e pela disposição geográfica. Sendo assim, estudos citogenéticos são considerados como importantes ferramentas na classificação dos triatomíneos e, com isso, podem auxiliar na criação de um plano de profilaxia da doença. Por meio da técnica citogenética de impregnação por íons prata, foi possível visualizar a atividade nucleolar e as Regiões Organizadoras Nucleolares (RONs) desses insetos. T. melanocephalaapresentou três RONs ativas nos autossomos durante a prófase I. T. lenti apresentou duas RONs ativas nos autossomos durante a prófase I e a metáfase I. Ambas as espécies apresentaram o fenômeno de persistência do material nucleolar encontrado em triatomíneos. Sendo assim, por meio da análise das RONs, foi possível observar que T. lenti, quando comparado com os outros organismos do subcomplexo, apresentou marcações semelhantes à T. tibiamaculata e que T. melanocephalanão apresenta nenhuma relação direta com o subcomplexo. Palavras-chave: Citogenética. Taxonomia. Triatominae. Subcomplexo Brasiliensis. ABSTRACT Analysis of nucleolus organizer regions and nucleolar activity in important vectors of Chagas disease (Triatoma melanocephala and T. lenti) Triatoma melanocephalaand T. lentiare important vectors of Chagas disease. These cryptic species of triatomines are grouped in the subcomplexbrasiliensisdue only to morphological characters and geographical distribution. Cytogenetic studies are important to the classification of insects and can assist in creating a disease prevention plan. The aim of the present study was to determine nucleolar activity and nucleolus organizer regions (NORs) in these insects using the cytogenetic method of silver ion impregnation. T. melanocephalaexhibited three active NORs in autosomes during prophase I. T. lentiexhibited two active NORs in autosomes during prophase I and metaphase I. Both species exhibit the persistent nucleolar material found in triatomines. The analysis of NORs in the present study revealed that T. lenti exhibited labeling similar to that found in T. tibiamaculata, which belongs to the subcomplex, whereas T. melanocephalashows no direct relationship with the subcomplex. Keywords: Cytogenetics. Taxonomy. Triatominae. Brasiliensissubcomplex.

Produção de vetores recombinantes para análise das propriedades biológicas e cancerígenas da proteína K1 do herpesvírus associado ao sarcoma de Kaposi (KSHV/HHV-8)

Pós-graduação em Patologia - FMB

Produção de vetores recombinantes para expressão de diferentes formas da proteína K1 do herpesvírus associado ao Sarcoma de Kaposi (KSHV)

Kaposi´s sarcoma associated herpesvirus (KSHV) or human herpesvirus 8 (HHV-8) is a gammaherpesvirus essential for the development of all forms of Kaposi´s sarcoma (KS). The KSHV’s life cycle is basically divided into latent and lytic phases, which have distinct viral gene expression profiles. Some important oncogenic products of KSHV are expressed during the lytic phase, including the viral K1 protein. As an effect of interfer-ence with intracellular signaling, K1 expression increases proliferation and survival of KSHV-infected cells. Due to its high level of genetic variability compared to other re-gions of the viral genome, the K1-encoding ORF (ORF-K1) is commonly evaluated for KSHV genotyping. It remains unclear whether different viral genotypes have particular biological effects that might modify the KSHV oncogenicity. The present study aimed to contribute to the establishment of an experimental in vitro model for evaluation of the K1 protein from common KSHV genotypes. Recombinant expression vectors with the ORF-K1 from KSHV genotypes A, B and C were prepared by genetic cloning. The recombi-nant vectors pKSHVOK1 obtained by cloning were sequenced for structural validation. After that, HEK293 cell line was transfected with the recombinant vectors, and proteins were extracted for expression analysis by Western blot technique, for K1 functional vali-dation. Results showed that ORF-K1 vectors containing KSHV ORF-K1 from the A, B and C genotypes were produced and structurally validated by DNA sequencing. The K1 expression at the protein level was also confirmed by immunoblots using an antibody for FLAG detection, an epitope from the vector that binds to K1. Based on presented re-sults, it´s possible to conclude that the recombinant vectors will be able to be used in future studies of K1 protein biological properties from distinct KSHV genotypes

Interface para classificação de dados por máquinas de vetores de suporte

In this project the Pattern Recognition Problem is approached with the Support Vector Machines (SVM) technique, a binary method of classification that provides the best solution separating the data in the better way with a hiperplan and an extension of the input space dimension, as a Machine Learning solution. The system aims to classify two classes of pixels chosen by the user in the interface in the interest selection phase and in the background selection phase, generating all the data to be used in the LibSVM library, a library that implements the SVM, illustrating the library operation in a casual way. The data provided by the interface is organized in three types, RGB (Red, Green and Blue color system), texture (calculated) or RGB + texture. At last the project showed successful results, where the classification of the image pixels was showed as been from one of the two classes, from the interest selection area or from the background selection area. The simplest user view of results classification is the RGB type of data arrange, because it’s the most concrete way of data acquisition

Incidência de mosca-minadora e insetos vetores em sistemas de manejo de pragas em tomateiro

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Conjuntos minimais e caóticos em campos de vetores planares suaves por partes

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Ações educativas para o controle de vetores da dengue e leishmaniose visceral

Results of educative actions on the control of vectors for dengue and leishmaniasis were evaluated by using an online semi-present course directed to teachers from Fundamental I Education level in Araçatuba-SP. 40 teachers from municipal schools located on geographical areas of town with higher occurrence of dengue and leishmaniasis cases, attended to the course, which consisted in a conceptual part directed to specific subjects such as vector borne and zoonotic diseases, responsible ownership of pets and health education and a practical phase, directed to execution and application of educative projects in the target schools. Data about the teacher’s specific knowledge, before and after the attendance to the course, were submitted to the Wilcoxon test with a 5% of significant level. The application of practical educative projects was evaluated by multiplicative actions involving target public. Tests showed statistically significant increase in the knowledge about the studied diseases (p<0.0001) after the course, especially on questions related to etiological agent, clinical symptoms on man and animals and prevention. Activities of knowledge multiplication envolved teachers and students which detected the problems and promoted education actions in their neighborhood as stage performing, group cleaning activities and elaboration and distribution of folders during a student pared. In conclusion, educative actions direct to the control of diseases vectors using a semi-present course, provides new knowledge to the teachers, impelling them to motivate their students to adopt vectors control measures and environmental cares and to sensitive the community to collaborate with control diseases.

Introdução à teoria de Poincaré-Bendixson para campos de vetores planares

O Teorema de Poincaré-Bendixson é um resultado muito importante no estudo de Sistemas Dinâmicos, pois ele estabelece para quais tipos de conjunto limite as trajetórias de um campo de vetores em IR2 deve convergir. Neste trabalho vamos abordar a Funç˜ao do primeiro Retorno de Poincaré, além de discutir a estabilidade de Ciclos Limites e provar o Teorema de Poincaré-Bendixson.

Sobre a estabilidade estrutural e regularizações de campos de vetores descontínuos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Avaliação na linhagem endotelial tEnd dos efeitos diretos da transferência gênica de IFNbeta e p19arf e efeitos parácrinos mediados pela linhagem B16 transduzida pelos mesmos vetores adenovirais

A vascularização tem um papel central na progressão tumoral e representa um alvo terapêutico de grande interesse. A inibição da angiogênese tem potencial de retardar a progressão tumoral e inibir metástase. Em decorrência disto, terapias anti-angiogênicas têm demonstrado ser promissora no controle do crescimento tumoral. Segundo a literatura, interferon-? (IFN?, ativador do sistema imune inato e adaptativo) e p19Arf (supressor de tumor e parceiro funcional de p53), quando estudados individualmente, alteram a vasculatura tumoral. Nosso grupo construiu e utilizou vetores adenovirais recombinantes portadores dos cDNAs de INFbeta e p19Arf e observou que a transferência desta combinação de genes induziu morte celular e diminuiu progressão tumoral, resultados foram observados em modelos murinos de melanoma B16 de terapia genica in situ, vacina profilática e vacina terapêutica. Neste trabalho, exploramos a ideia que a combinação dos vetores adenovirais portadores de INFbeta e p19Arf proporcionam efeitos anti-angiogênicos através de seu impacto em células endoteliais. Para averiguarmos essa hipótese, células endoteliais murinas (tEnd) foram transduzidas com os vetores adenovirais, revelando que o vetor Ad-p19 confere inibição da proliferação, formação de tubos, migração e induz aumento na expressão de genes relacionados a via de p53 e morte celular. O vetor Ad-IFNbeta sozinho ou adicionado em combinação com Ad-p19, não teve impacto significante nestes ensaios. Alternativamente, a influencia indireta, ou parácrina, nas células tEnd cultivadas juntamente com as células B16 transduzidas com os vetores adenovirais também foi investigada. Quando as células B16 foram transduzidas com Ad-IFNbeta ou a co-transdução Ad-IFNbeta+Ad-p19 em co-cultura com a linhagem tEnd, houve inibição da proliferação. Não observamos efeito inibitório na tEnd da co-cultura quando as células da B16 foram transduzidas somente com Ad-p19. Seguindo o ensaio de co-cultura, produzimos meio condicionado da B16 transduzida com os vetores e aplicamos esses meios nas células tEnd. Observamos que Ad-IFN, sozinho ou em combinação com Ad-19, diminuiu a viabilidade, proliferação e levou a morte das células tEnd. Neste trabalho, constamos que inibição de células endoteliais pode ser realizada por transdução direta com Ad-19 ou quando estas células são expostas ao ambiente modulado por células tumorais transduzidas com o vetor Ad-IFNbeta. Mesmo que a transferência gênica de ambos IFNbeta e p19Arf não demonstrou ser uma abordagem superior à aplicação dos genes isolados, observamos que nossa abordagem pode ter um impacto importante na inibição da angiogênese pelas células endoteliais

Veículos e vetores em terapia génica

Dissertação para obtenção do grau de Mestre no Instituto Superior de Ciências da Saúde Egas Moniz

Classificação de atividade eletromiográfia facial de indivíduos saudáveis e com hanseníese por meio de máquina de vetores de suporte

A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.

Classificação de atividade eletromiográfia facial de indivíduos saudáveis e com hanseníase por meio de máquina de vetores de suporte

A number of studies in the areas of Biomedical Engineering and Health Sciences have employed machine learning tools to develop methods capable of identifying patterns in different sets of data. Despite its extinction in many countries of the developed world, Hansen’s disease is still a disease that affects a huge part of the population in countries such as India and Brazil. In this context, this research proposes to develop a method that makes it possible to understand in the future how Hansen’s disease affects facial muscles. By using surface electromyography, a system was adapted so as to capture the signals from the largest possible number of facial muscles. We have first looked upon the literature to learn about the way researchers around the globe have been working with diseases that affect the peripheral neural system and how electromyography has acted to contribute to the understanding of these diseases. From these data, a protocol was proposed to collect facial surface electromyographic (sEMG) signals so that these signals presented a high signal to noise ratio. After collecting the signals, we looked for a method that would enable the visualization of this information in a way to make it possible to guarantee that the method used presented satisfactory results. After identifying the method's efficiency, we tried to understand which information could be extracted from the electromyographic signal representing the collected data. Once studies demonstrating which information could contribute to a better understanding of this pathology were not to be found in literature, parameters of amplitude, frequency and entropy were extracted from the signal and a feature selection was made in order to look for the features that better distinguish a healthy individual from a pathological one. After, we tried to identify the classifier that best discriminates distinct individuals from different groups, and also the set of parameters of this classifier that would bring the best outcome. It was identified that the protocol proposed in this study and the adaptation with disposable electrodes available in market proved their effectiveness and capability of being used in different studies whose intention is to collect data from facial electromyography. The feature selection algorithm also showed that not all of the features extracted from the signal are significant for data classification, with some more relevant than others. The classifier Support Vector Machine (SVM) proved itself efficient when the adequate Kernel function was used with the muscle from which information was to be extracted. Each investigated muscle presented different results when the classifier used linear, radial and polynomial kernel functions. Even though we have focused on Hansen’s disease, the method applied here can be used to study facial electromyography in other pathologies.