Brown Recluse Spider Venom: Proteomic Analysis and Proposal of a Putative Mechanism of Action

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

Análise proteômica do fitopatógeno Xanthomonas axonopodis pv. citri

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise das proteínas relacionadas a formação de metástase em linhagens de adenocarcinoma gástrico

O câncer gástrico representa um grave problema de saúde pública mundial. A alta incidência de tumores avançados com baixa sobrevida pelas metástases, sobretudo no norte do país, nos fez realizar o estudo comparativo das linhagens de adenocarcinomas gástricos metastáticos (AGP01) com adenocarcinomas gástricos sem metástases (ACP02) através da avaliação proteômica da via de mobilidade celular, que possam ter relação com a formação dessas metástases. Foi realizado estudo proteômico das linhagens AGP01 e ACP02 através da técnica da cromatografia líquida de alta performance 2D Nanoultra (UPLC) em conjunto com nanoESI-MS^E (MudPIT) e análise funcional das proteínas diferencialmente expressas no programa Ingenuity Pathways Analysis (IPA). Observamos 19 proteínas com aumento da expressão na linhagem AGP01 em relação a ACP02, as quais apresentam relação com movimento, organização e morfologia celular, onde podemos sugerir que as proteínas ACTB, ANXA1, LGALS1, IQGAP1, EZR, MSN, MYH9 e S100A11, de acordo com nossos achados e corroborados pela literatura pesquisada, tem associação com a metástase de adenocarcinomas gástricos. Outras proteínas se mostraram em forte expressão em nosso estudo, mas na literatura pesquisada sua expressão tem relação com as vias de disseminação apenas de outros tumores, como: mama (RAB5C), pulmão (PLS1 e CAP1), reto (ACTN1) e GIST (SYNE2). Conflitantes com nosso estudo, as expressões das proteínas CAPZA1, FLNA e FLNC, foram observadas na literatura como um inibidor de avanço tumoral, enquanto que as expressão das proteínas MYL6, MYL6B, e ACTN2, aparecem pela primeira vez como tendo relação com a mobilidade celular, invasão e metástase em câncer.

Atmospheric plasma processes for microbial inactivation: food applications and stress response in Listeria monocytogenes

This PhD thesis is focused on cold atmospheric plasma treatments (GP) for microbial inactivation in food applications. In fact GP represents a promising emerging technology alternative to the traditional methods for the decontamination of foods. The objectives of this work were to evaluate: - the effects of GP treatments on microbial inactivation in model systems and in real foods; - the stress response in L. monocytogenes following exposure to different GP treatments. As far as the first aspect, inactivation curves were obtained for some target pathogens, i.e. Listeria monocytogenes and Escherichia coli, by exposing microbial cells to GP generated with two different DBD equipments and processing conditions (exposure time, material of the electrodes). Concerning food applications, the effects of different GP treatments on the inactivation of natural microflora and Listeria monocytogenes, Salmonella Enteritidis and Escherichia coli on the surface of Fuji apples, soya sprouts and black pepper were evaluated. In particular the efficacy of the exposure to gas plasma was assessed immediately after treatments and during storage. Moreover, also possible changes in quality parameters such as colour, pH, Aw, moisture content, oxidation, polyphenol-oxidase activity, antioxidant activity were investigated. Since the lack of knowledge of cell targets of GP may limit its application, the possible mechanism of action of GP was studied against 2 strains of Listeria monocytogenes by evaluating modifications in the fatty acids of the cytoplasmic membrane (through GC/MS analysis) and metabolites detected by SPME-GC/MS and 1H-NMR analyses. Moreover, changes induced by different treatments on the expression of selected genes related to general stress response, virulence or to the metabolism were detected with Reverse Transcription-qPCR. In collaboration with the Scripps Research Institute (La Jolla, CA, USA) also proteomic profiles following gas plasma exposure were analysed through Multidimensional Protein Identification Technology (MudPIT) to evaluate possible changes in metabolic processes.

Multi-­‐dimensional Protein Identification Technology

Before the rise of the Multidimentional Protein Identification Technology (MudPIT), protein and peptide mixtures were resolved using traditional proteomic technologies like the gel-­‐ based 2D chromatography that separates proteins by isoelectric point and molecular weight. This technique was tedious and limited, since the characterization of single proteins required isolation of protein gel spots, their subsequent proteolyzation and analysis using Matrix-­‐ assisted laser desorption/ionization-­‐time of flight (MALDI-­‐TOF) mass spectrometry.