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Orientador(es)
Resumo(s)
"Over the last decade, Epithelial-to-Mesenchymal Transition (EMT) has gained the
attention of cancer researchers due to its potential to promote cancer migration
and metastasis. However, the complexity of EMT intertwined regulation and the
involvement of multiple signals in the tumour microenvironment have been
limiting the understanding of how this process can be controlled. Cell-cell
adhesion and focal adhesion dynamics are two critical properties that change
during EMT, which provide a simple way to characterize distinct modes of cancer
migration. Therefore, the main focus of this thesis is to provide a framework to
predict critical microenvironment and de-regulations in cancer that drive interconversion
between adhesion phenotypes, accounting for main
microenvironment signals and signalling pathways in EMT. Here, we address this
issue through a systems approach using the logical modelling framework to
generate new testable predictions for the field.(...)"
Descrição
Palavras-chave
computational modelling cells
