O sistema dois-hidrido de levedura para confirmação da sinalização de APP Tipo-Noth

Inúmeras potenciais funções foram sugeridas para a APP (Proteína Precursora de Amilóide de Alzheimer), contudo, fisiologicamente, a função precisa da APP não foi ainda desvendada. A APP tem características consistentes com a função de molécula-receptora, capaz de reconhecer sinais extracelulares. Também relevante para este trabalho, é o facto de que a sinalização através de RIP (Proteólise Intramembranar Regulada) tem consequências na expressão génica, como no caso da sinalização tipo-Notch. Tal como a proteína Notch, a APP é processada resultando num fragmento C-terminal designado por AICD (Domínio Intracelular da APP). Neste trabalho é focado o papel importante na sinalização nuclear desempenhado pelo fragmento AICD, especificamente através da interacção com proteínas adaptadoras, promovendo a transcrição. Com o objectivo de contribuir para uma melhor compreensão da base molecular da DA (Doença de Alzheimer), torna-se importante investigar as vias de localização nuclear do AICD e o seu envolvimento na transcrição génica, possivelmente afectando proteínas até agora não associadas à DA. Por estes motivos é fundamental a identificação de novas proteínas que interajam com a APP. Um rastreio foi efectuado, utilizando o sistema Dois-Híbrido em Levedura, para identificar interacções específicas do AICD no cérebro humano e, assim, caracterizar o interactoma do AICD. Foi feito o rastreio de aproximadamente 1.1x108 clones de uma biblioteca de cDNA de cérebro humano com o domínio C-terminal da APP com a mutação Y687E, que mimetiza o estado fosforilado. De experiências anteriores deste laboratório sabemos que a tirosina-687 afecta a localização subcelular da APP e é também consensual que a fosforilação é importante nos mecanismos de transdução de sinais, daí a utilização deste mutante parecer apropriada. O rastreio originou 55 clones positivos que foram analisados para identificar proteínas que interagem com a APP. Dois clones são particularmente importantes, a RanBPM e a Transportin-SR2, visto que estão associadas ao transporte de proteínas para o núcleo e confirmam a sinalização nuclear da APP. ABSTRACT: Many putative functions for APP (Alzheimer’s amyloid precursor protein) have been suggested, although the precise physiological function of APP remains to be elucidated. APP has characteristics consistent with it having a role as a receptor, capable of mediating extracellular signals. Also of relevance to the work described here is that RIP (Regulated Intramembrane Proteolysis) signalling can have consequences in gene expression, similar to Notch signalling. Like the latter, APP is processed by RIP resulting in a C-terminal fragment known as AICD. Here we test the hypothesis that the AICD fragment may play an important role in nuclear signalling, specifically by interacting with adaptor proteins potentiating transcription. Therefore, in order to contribute to our understanding of the molecular basis of AD (Alzheimer’s disease) it is important to investigate the pathways of AICD nuclear targeting and its involvement in gene transcription, possibly affecting other proteins hitherto not associated with AD. Thus, it is important to identify AICD binding proteins. A Yeast Two-Hybrid (YTH) screen was performed to identify human brainspecific AICD binding proteins, and thus characterize the AICD interactome. The screen of approximately 1.1 x108 clones from a human brain cDNA library was carried out using the AICD fragment with an Y687E mutation, which mimics phosphorylation on that residue. From previous work carried out in the laboratory we know that tyrosine-687 phosphorylation affects subcellular localization of APP, and it is also recognized that phosphorylation events are important in signal transduction mechanisms, hence the use of this mutant is appropriate. The YTH screen yielded 55 positive clones that were analysed and several novel brain-specific APP binding proteins were identified. Two clones were particularly important, RanBPM and Transportin-SR2, being that they are associated with the nuclear transport of proteins, and support the nuclear signalling for APP.

Sectorial antennas for WSN localization system

This work investigates low cost localization systems (LS) based on received signal strength (RSS) and integrated with different types of antennas with main emphasis on sectorial antennas. The last few years have witnessed an outstanding growth in wireless sensor networks (WSN). Among its various possible applications, the localization field became a major area of research. The localization techniques based on RSS are characterized by simplicity and low cost of integration. The integration of LS based on RSS and sectorial antennas (SA) was proven to provide an effective solution for reducing the number of required nodes of the networks and allows the combination of several techniques, such as RSS and angle of arrival (AoA). This PhD thesis focuses on studying techniques, antennas and protocols that best meet the needs of each LS with main focus on low cost systems based on RSS and AoA. Firstly there are studied localization techniques and system that best suit the requirements of the user and the antennas that are most appropriate according to the nature of the signal. In this step it is intended to provide a fundamental understanding of the undertaken work. Then the developed antennas are presented according to the following categories: sectorial and microstrip antennas. Two sectorial antennas are presented: a narrowband antenna operating at 2.4 to 2.5 GHz and a broadband antenna operating at 800MHz-2.4GHz. The low cost printed antennas were designed to operate at 5 GHz, which may be used for vehicular communication. After presenting the various antennas, several prototypes of indoor/outdoor LS are implemented and analyzed. Localization protocols are also proposed, one based on simplicity and low power, and the other on interoperability with different types of antennas and system requirements.