Caracterização e modelagem de fenômenos de migração e agregação celular in vitro

• Autor(a) principal: Silva, Priscila Caroline Albuquerque da
• Data de Publicação: 2014
• Tipo de documento: Tese
• Idioma: por
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: http://locus.ufv.br/handle/123456789/963
• topic: Células - Migração; Células - Agregação; Difusão anômala; Cultura de células; q-Gaussiana; Câncer; Cells - Migration; Cells - Aggregation; Anomalous diffusion; Cell culture; q-Gaussian; Cancer; CNPQ::CIENCIAS EXATAS E DA TERRA::FISICA

Normal biological processes such as embryonic development and wound healing depend on organized and directed movement of cells. Consequently, the lack or inadequate cell migration can result in severe abnormalities during development or defective scarring. Furthermore, the aggregation of cells is a complex dynamic process ubiquitous in living systems. It is important, for example, during the morphogenesis process, blood coagulation and cancer progression. In this context, it is imperative to characterize the phenomena of cell migration and aggregation and understand the mechanisms that govern these dynamics. In the present work we performed cell migration and aggregation assays in two-dimensional plastic surfaces using different cell lines (normal and tumoral). Concerning migration, we observe that B16F10 (tumoral) and Melan A (non-tumoral) melanocytes exhibit a crossover between normal and a superdiffusion; their velocities obey q-gaussian distributions and have no long-term correlation, but the cells tend to perform consecutive movements in opposite directions. Concerning aggregation, eight normal and tumor cell lines were studied. Our results indicate that, despite the distinct aggre- gation dynamics observed, the complementary cumulative distributions for the sizes of the cell aggregates are decribed by stretched exponentials, regardless of cell type. So, our finds support a universal behavior cell aggregation in 2D plastic substrate. Computational models have also been proposed to describe the dynamics of cell migration and aggregation in culture, which provide simulacional results in qualitative agreement with the experimental data.