Em mulheres, o câncer de mama é o tipo mais incidente depois do tumor de pele não melanoma e é a principal causa de morte por câncer. Apesar dos avanços já alcançados na caracterização da doença, a busca por novos marcadores moleculares para diagnóstico, tratamento e entendimento molecular da doença é de extrema importância. Estudos em nosso laboratório apontaram a proteína EMC1 (do inglês, Endoplasmic Reticulum Complex 1) como relacionada a propriedades malignas em linhagens celulares de câncer de mama e melanoma, assim como aumento no crescimento tumoral em ensaios in vivo. Despertou-se, então, o interesse em nosso laboratório, no estudo das outras proteínas do complexo EMC. Este estudo atual, busca analisar dados em larga escala do banco TCGA em um painel de 32 tipos tumorais, e aponta associação da expressão de diversas proteínas EMCs a pior sobrevida dos pacientes. O gene EMC2, que se localiza na região cromossômica altamente amplificada em diversos tumores (8q23.1), se destaca pela intensidade de pacientes com superexpressão em câncer de mama (40%). Em linhagens desse tipo tumoral, o knockdown de EMC2 aponta redução na taxa proliferativa, assim como associação à progressão do ciclo celular na fase M, quando feito o protocolo de sincronização utilizando a droga nocodazol. Em conjunto, nossos dados sugerem que o complexo EMC pode favorecer o desenvolvimento de tumores e influenciar em sua malignidade. Além disso, a proteína EMC2 parece apresentar funções relacionadas a proliferação e possivelmente, ciclo celular. / In woman, the breast cancer is the most incidence type after skin tumor non melanoma and it is a main cause of cancer death. Despite the advances already achieved in the disease caracterization, the search for novel molecular biomarkers to diagnostic, treatment and disease knowledge is extremely importante. In vitro approaches pointed Endoplasmic Reticulum Complex 1 (EMC1) involvement in malignant properties in breast cancer and melanoma cell lines, and increase in tumor growth in a in vivo assay. It highlighted the study of the other members of EMC complex. In this study, we used a large-scale database from TCGA in a range of 32 tumoral types, and showed association in EMC expression and poor surviving curve. The EMC2 gene, localized in a high amplified chromosome region in cancer (8q23.1), have a interesting upregulation level in breast cancer (40%). In knockdown EMC2 cell lines, the proliferation is less intense and progression in M phase, in a nocodazole sincronization assay, is impaired. Together, the data suggest that the EMC complex favors the tumour development and the EMC2 protein seens to play a role in proliferation and maybe in cell cycle.

Em mulheres, o câncer de mama é o tipo mais incidente depois do tumor de pele não melanoma e é a principal causa de morte por câncer. Apesar dos avanços já alcançados na caracterização da doença, a busca por novos marcadores moleculares para diagnóstico, tratamento e entendimento molecular da doença é de extrema importância. Estudos em nosso laboratório apontaram a proteína EMC1 (do inglês, Endoplasmic Reticulum Complex 1) como relacionada a propriedades malignas em linhagens celulares de câncer de mama e melanoma, assim como aumento no crescimento tumoral em ensaios in vivo. Despertou-se, então, o interesse em nosso laboratório, no estudo das outras proteínas do complexo EMC. Este estudo atual, busca analisar dados em larga escala do banco TCGA em um painel de 32 tipos tumorais, e aponta associação da expressão de diversas proteínas EMCs a pior sobrevida dos pacientes. O gene EMC2, que se localiza na região cromossômica altamente amplificada em diversos tumores (8q23.1), se destaca pela intensidade de pacientes com superexpressão em câncer de mama (40%). Em linhagens desse tipo tumoral, o knockdown de EMC2 aponta redução na taxa proliferativa, assim como associação à progressão do ciclo celular na fase M, quando feito o protocolo de sincronização utilizando a droga nocodazol. Em conjunto, nossos dados sugerem que o complexo EMC pode favorecer o desenvolvimento de tumores e influenciar em sua malignidade. Além disso, a proteína EMC2 parece apresentar funções relacionadas a proliferação e possivelmente, ciclo celular. / In woman, the breast cancer is the most incidence type after skin tumor non melanoma and it is a main cause of cancer death. Despite the advances already achieved in the disease caracterization, the search for novel molecular biomarkers to diagnostic, treatment and disease knowledge is extremely importante. In vitro approaches pointed Endoplasmic Reticulum Complex 1 (EMC1) involvement in malignant properties in breast cancer and melanoma cell lines, and increase in tumor growth in a in vivo assay. It highlighted the study of the other members of EMC complex. In this study, we used a large-scale database from TCGA in a range of 32 tumoral types, and showed association in EMC expression and poor surviving curve. The EMC2 gene, localized in a high amplified chromosome region in cancer (8q23.1), have a interesting upregulation level in breast cancer (40%). In knockdown EMC2 cell lines, the proliferation is less intense and progression in M phase, in a nocodazole sincronization assay, is impaired. Together, the data suggest that the EMC complex favors the tumour development and the EMC2 protein seens to play a role in proliferation and maybe in cell cycle.

This thesis deals with the analysis of Big Data in healthcare. The aim is to define the term Big Data, to acquaint the reader with data growth in the world and in the health sector. Another objective is to explain the concept of a data expert and to define team members of the data experts team. In following chapters phases of the Big Data analysis according to methodology of EMC2 company are defined and basic technologies for analysing Big Data are described. As beneficial and interesting I consider the part dealing with definition of tasks in which Big Data technologies are already used in healthcare. In the practical part I perform the Big Data analysis task focusing on meteorotropic diseases in which I use real medical and meteorological data. The reader is not only acquainted with the one of recommended methods of analysis and with used statistical models, but also with terms from the field of biometeorology and healthcare. An integral part of the analysis is also information about its limitations, the consultation on results, and conclusions of experts in meteorology and healthcare.

The common availability of multiple processors in modern CPU devices and the need to reduce cost of embedded systems has created a drive for integrating functionalities from different parts of a system into a single Multi- Processor System-on-Chip (MPSoC) device. As a result, system resources are shared amongst the critical and non-critical components of the system, which results in a mixed-criticality system (MCS). An example of a MCS is to combine an airbag control unit with the infotainment system of a car, in such a case, both components must be certified unless an isolation mechanism that can prevent the non-critical to interfere with the critical subsystems is implemented. This isolation can be achieved via spatial and temporal partitioning of system resources, such as static mapping of CPUs to critical tasks, memory and IO virtualization, and time domain multiplexing of applications. System isolation is currently achievable through virtualization techniques, and is commonly used in data centers and personal computers. Recently, virtualization solutions have been emerging for embedded systems in order to cope with the increased design complexity, the stringent non-functional requirements, and to facilitate the certification process of MCS. The achieved performance, safety, security, and robustness in a virtualized system depends on the virtualization architecture and hardware platform. This thesis work performs state-of the art research in the field of mixedcriticality embedded systems with a focus on virtualization of embedded systems. As a result, a deep study of virtualization architectures, and open-source virtualization solutions is conducted in order to understand the consequences of using this technology in MCS. The work is concluded with a design and implementation of mixed-criticality embedded system that leverages the hardware capabilities of the target device (Zynq-7000 all programmable SoC), and contributes to the Living Lab WP7 of the EMC2 project.