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| Author(s): |
Marcel Rodrigues Ferreira
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | Botucatu. 2017-08-29. |
| Institution: | Universidade Estadual Paulista (Unesp). Instituto de Biociências. Botucatu |
| Defense date: | 2017-02-24 |
| Advisor: | Willian Fernando Zambuzzi |
| Abstract | |
Current trends in implant therapy have included the modification of their surfaces using nanotechnology tools and principles of bioengineering, increasing their performance when deployed. Although much has been achieved in tools for developing these materials, biological analysis methodologies did not advance at this speed. Supported by bioinformatics tools and using concepts of systemic biology, the objective of this work was to produce a computational methodology, alternative to the use of animal experimentation, capable of detecting and analyzing the kinome of the response of the cell-biomaterial interaction, obtained with microarray peptides. These data will serve to build a database to guide the production of biomaterials for the medical-dental area. We will baptize this one from OsteoBLAST. To do so, we made use of titanium surfaces with different surfaces (machined and double acid etched), which were challenged with the cultivation of undifferentiated stem cells. Biological samples were used to evaluate differentially activated kinases through synthetic substrates, a methodology known as PamGene, as the banks were assembled in a database called OsteoBLAST, which consists of a four-step algorithm that selected the results confident of PamGene, then obtaining the differential kinome and a level of similarity with surfaces widely used in the routine. Our results showed that the EGRF, ENO2, EPHA4, FRK, KRT6B, NCF1, PDPK1, PDGFRB and KDR as proteins involved in this molecular response scenario were efficiently compared. Together, our results show that the OsteoBLAST algorithm can be used as a powerful in silico tool to investigate potential biomaterials for biomedical applications, serving as an analysis tool capable of optimizing the productive sector and reducing the use of experimental animals. (AU) | |
| FAPESP's process: | 15/03639-8 - Global signal transduction involved in the immediate response to the two surfaces of titanium alloys: building OsteoBLAST database |
| Grantee: | Marcel Rodrigues Ferreira |
| Support Opportunities: | Scholarships in Brazil - Master |