Influência da amoxicilina na virulência do Helicobacter pylori

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise estrutural das proteínas da seda da teia da aranha Nephila clavipes por uma abordagem proteômica

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

Efeito da infecção pelo vírus da febre amarela no mecanismo de splicing celular

Pós-graduação em Microbiologia - IBILCE

Structure and post-translational modifications of the web silk protein spidroin-1 from Nephila spiders

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

Modification of the brain proteome of Africanized honeybees (Apis mellifera) exposed to a subaEurolethal doses of the insecticide fipronil

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

Pseudechis guttatus venom proteome: Insights into evolution and toxin clustering

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desenvolvimento da técnica de MALDI Imaging utilizando tecidos animais

Currently the study of important molecular compounds present in low abundance in some tissues has been a challenge for proteomic analysis classic. An analysis requires more exploratory investigation of small regions of a tissue or a group of cells. MALDI Imaging Technology (MSI) is an application of mass spectrometry facing the chemical analysis of intact tissues. Thus, advances in mass spectrometry MALDI being obtained by the integration of histology, the best methods and automation are the main tools of data analysis. This tool has become essential to analyze the spatial distribution of peptides and proteins throughout the tissue sections, providing an enormous amount of data with minimum sample preparation. Thus, the aim of this study was to develop the technique of MALDI Imaging using tissue from glioblastoma multiforme (GBM), a form of most common malignant tumor in the brain. For this we used the printer chemical ChIP-1000 (Chemical Inkjet Printer, Shimadzu) and mass spectrometer type Maldi-ToF-ToF (Axima Performance, Shimadzu), a search of the identifications were performed in databases such as SwissProt. We identified more than forty proteins with diverse functions such as proteins F-actin-capping and Thymosin to the structure and organization cellular and proteins such several Tumor necrosis factor receptor development-related pathology. The development of this technique will permit to carry-out proteomic analysis directly into the tissue, enabling earlier diagnosis of diseases, as well as the identification and characterization of potential biomarkers of disease.

Salivary and serum proteomics in head and neck carcinomas before and after surgery and radiotherapy

Several body fluids have been evaluated as new sources for cancer biomarker discovery. In this context, salivary and serum proteomics seem promising diagnostic and predictive tools for head and neck diseases. In the present study, we performed a proteomic analysis of saliva and serum from patients presenting head and neck squamous cell carcinoma (HNSCC) and compared the results before and after therapy. In saliva of cancer patients, we observed an altered protein profile, including over-expression of PLUNC and zinc-alpha-2-glycoprotein. Both proteins may contribute to control tumor growth and, therefore, represent targets for new analysis. We also detected serotransferrin and a modified transthyretin form with altered levels in serum from patients. Comparing preoperative and postreatment samples, the results showed that the protein profile after treatment reverted to a pattern closer to those observed for controls. These results add information on the role of secreted proteins in the cancer process and emphasize the potential of saliva and serum analysis for diagnosis and monitoring of HNSCC.

Análise proteômica da levedura Saccharomyces cerevisiae CAT-1 cultivada em diferentes concentrações de sacarose

Pós-graduação em Biotecnologia - IQ

Use of salivary biomarkers for diagnosis of periodontal disease activity: a literature review

Periodontal disease is an infectious disease characterized by the connective tissue destruction and consequent alveolar bone loss in response to plaque accumulation on the tooth surface. The clinical diagnosis of periodontal disease is based both on clinical examination involving the evaluation of probing depth and radiographic examination of alveolar bone loss but these examinations are not enough to determine the activity of the disease process. For that reason, it has been proposed to seek predictive disease markers in an attempt to assess the disease activity and so, evaluate the efficacy of the periodontal disease treatment. The aim of this review is to present recent advances in the development of proteomic, genomics and microbial biomarkers and potential clinical applications. It was concluded that periodontal treatment based on assessing the levels of salivary biomarkers emerges as a promising method in near future and will become an integral part of the evaluation of periodontal health.

Obtenção de anticorpos monoclonais murinos contra antígenos de Staphylococcus aureus resistentes à meticilina por imunização subtrativa

Pós-graduação em Pesquisa e Desenvolvimento (Biotecnologia Médica) - FMB

Identificação das proteínas que compõem a glândula prostática do Gerbilo da Mongólia por espectrometria de massas pelo método Shotgun

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Low-Level Fluoride Exposure Increases Insulin Sensitivity in Experimental Diabetes

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

Metabolomics method to comprehensively analyze amino acids in different domains

Amino acids play essential roles in both metabolism and the proteome. Many studies have profiled free amino acids (FAAs) or proteins; however, few have connected the measurement of FAA with individual amino acids in the proteome. In this study, we developed a metabolomics method to comprehensively analyze amino acids in different domains, using two examples of different sample types and disease models. We first examined the responses of FAAs and insoluble-proteome amino acids (IPAAs) to the Myc oncogene in Tet21N human neuroblastoma cells. The metabolic and proteomic amino acid profiles were quite different, even under the same Myc condition, and their combination provided a better understanding of the biological status. In addition, amino acids were measured in 3 domains (FAAs, free and soluble-proteome amino acids (FSPAAs), and IPAAs) to study changes in serum amino acid profiles related to colon cancer. A penalized logistic regression model based on the amino acids from the three domains had better sensitivity and specificity than that from each individual domain. To the best of our knowledge, this is the first study to perform a combined analysis of amino acids in different domains, and indicates the useful biological information available from a metabolomics analysis of the protein pellet. This study lays the foundation for further quantitative tracking of the distribution of amino acids in different domains, with opportunities for better diagnosis and mechanistic studies of various diseases.

Chemotactic signal transduction and phosphate metabolism as adaptive strategies during citrus canker induction by Xanthomonas citri

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