Identificação de genes candidatos para resistência ao mosaico da cana-de-açúcar a partir da técnica de cDNA-AFLP

Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV

Análise de cDNA diferencialmente expressos durante o processo de infecção de Paracoccidioides brasiliensis a queratinócitos e pneumócitos

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Aplicação de modelos lineares para análise de expressão gênica em experimentos de microarrays

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Prospecção de genes relacionados com a resistência ao carrapato Rhipicephalus (Boophilus) microplus em bovinos de corte

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Determinação da seqüência de cDNA da enzima hialuronidase do veneno de Polybia paulista (Hymenoptera : vespidae)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Parâmetros biométricos, acúmulo de prolina e identificação de respostas moleculares, por cDNA-AFLP, ao estresse por déficit hídrico em cana-de-açúcar

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Expressão gênica diferencial por cDNA-AFLP em raízes de cana-de-açúcar submetida ao déficit hídrico

Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV

Identificação e análise da expressão de genes relacioanados com tolerância à seca em soja através de microarranjos de DNA e PCR em tempo real

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Comparação filogenética de genomas de rizóbios por hibridização através de microarray

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Expressão gênica no parênquima mamário de novilhas leiteiras

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

A tecnologia de microarray no estudo do câncer de cabeça e pescoço

(Microarray technology in study of head neck cancer). The microarray technology is a tool for global analysis of gene expression that allows investigating hundreds or thousands of genes in a sample using a hybridization reaction. This technology is based on hybridization between labeled targets derived from biological samples and an array of many DNA probes immobilized on a solid matrix, representing the genes of interest. The simultaneous study of hundreds of genes became the microarray technique a very important tool of global analysis, with applications in several areas, including the study of the development of cancer. Head and neck squamous cell carcinoma (HNSCC) is the fifth most common cancer worldwide, with a global annual incidence of 780,000 new cases. Large-scale studies involving microarrays have identified specific gene expression signatures associated with expression changes in HNSCC samples compared to normal tissue, as well as genes involved in clinical outcome and metastasis. However, the considerable heterogeneity among these studies occurs due to experimental design, number of samples, disease sites and stage, choice of microarray platform and results validation. Thus, there is much to be validated, before the technique has clinical utility. In relation to head and neck neoplasia, the large-scale gene analysis is very important, since the clinical and histopathological methods currently used appear to be insufficient to predict clinical progression and response to treatment. Thus, this approach could result in more effective diagnostic and prognostic and most appropriate therapy for this neoplasia.

Uso de microarray para determinação da expressão gênica diferencial em oócitos Bos Taurus Indicus e Bos Taurus Taurus submetidos ao estresse térmico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

cDNA representational difference analysis used in the identification of genes expressed by Trichophyton rubrum during contact with keratin

Dermatophytes are adapted to infect skin, hair and nails by their ability to utilize keratin as a nutrient source. Trichophyton rubrum is an anthropophilic fungus, causing up to 90% of chronic cases of dermatophytosis. The understanding of the complex interactions between the fungus and its host should include the identification of genes expressed during infection. To identify the genes involved in the infection process, representational difference analysis (RDA) was applied to two cDNA populations from T. rubrum, one transcribed from the RNA of fungus cultured in the presence of keratin and the other from RNA generated during fungal growth in minimal medium. The analysis identified differentially expressed transcripts. Genes related to signal transduction, membrane protein, oxidative stress response, and some putative virulence factors were up-regulated during the contact of the fungus with keratin. The expression patterns of these genes were also verified by real-time PCR, in conidia of T. rubrum infecting primarily cultured human keratinocytes in vitro, revealing their potential role in the infective process. A better understanding of this interaction will contribute significantly to our knowledge of the process of dermatophyte infection.