Detalhes bibliográficos
| Ano de defesa: |
2020 |
| Autor(a) principal: |
Cabral, Heleno Carmo Borges |
| Orientador(a): |
Simão, Éder Maiquel |
| Banca de defesa: |
Simonetto, Eugênio de Oliveira,
Góes, Evamberto Garcia de,
Sagrillo, Michele Rorato,
Mortari, Sérgio Roberto |
| Tipo de documento: |
Tese
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Franciscana
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Nanociências
|
| Departamento: |
Biociências e Nanomateriais
|
| País: |
Brasil
|
| Palavras-chave em Português: |
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| Palavras-chave em Inglês: |
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| Área do conhecimento CNPq: |
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| Link de acesso: |
http://www.tede.universidadefranciscana.edu.br:8080/handle/UFN-BDTD/926
|
Resumo: |
The great challenge of the post-genomic era in biology is the understanding of the structure and behavior of complex networks of molecular interactions that control the behavior of cells. This imposes, the search for innovative methods to treat these data in order to improve the understanding of the biological processes that occur intra and extracellular. In the presence of diseases, there are variations in cellular phenotypes, which changes the entire analysis process, as this process also varies in the presence of different drugs, involving drugs that, in addition to promoting cellular changes, cause clinical consequences that can be analyzed by different methods. Consequently, in an organism that has a genetic disease, it is possible to identify which metabolic pathways are inhibited through analytical methods that involve, for example, the activity of metabolic pathways, verifying their interaction with other pathways, thus identifying the genes present in certain situations In this context, it is possible to interconnect the pathways and improve the understanding of biological interactions in the absence or presence of a certain disease, using tools such as the R language and its available packages and scripts. Even with the use of new technologies, obstacles in therapy are still perceived, such as the blood-brain barrier, which prevents the free diffusion of most molecules with antigen properties, including chemotherapy drugs. The objective of this work is to promote the study of interaction networks, proposing to provide support for understanding how the pathways behave when induced to different types of treatments and methods, thus contributing to the development of new nanoencapsulated drugs. For the development of this study, samples of glioblastoma multiforme versus normal extracted from microarrays in the Gene Expression Omnibus database were used. The analysis of expression and the development of the tool were obtained through codes using the language R. Among the samples, the use of the drugs Bevacizumab, Dibenzazepine and Temozolomide (administered together with the treatment with radiotherapy) stands out. The preliminary results consisted of the construction of a basal network with 104 metabolic pathways selected from pre-established criteria. With the analysis of expression of the treated glioblastoma, it was observed that the chemokine receptor pathway is directly linked to the presence of the drug in the glioblastoma. |
