Functional analysis of String/CDC25 phosphatase in post-mitotic neurons

Cell cycle and differentiation are two highly coordinated processes during organ development. Recent studies have demonstrated that core cell cycle regulators also play cell cycle-independent functions in post-mitotic neurons, and are essential for the maintenance of neuronal homeostasis. CDC25 phosphatases are well-established CDK activators and their activity is mainly associated to proliferating tissues. The expression and activity of mammalian CDC25s has been reported in adult brains. However, their physiological relevance and the potential substrates in a non-proliferative context have never been addressed. string (stg) encodes the Drosophila CDC25 homolog. Previous studies from our group showed that stg is expressed in photoreceptors (PRs) and in lamina neurons, which are two differentiated cell types that compose the fly visual system. The aims of this work are to uncover the function of stg and to identify its potential neuronal substrates, using the Drosophila visual system as a model. To gain insight into the function of stg in a non-dividing context we used the GAL4/UAS system to promote downregulation of stg in PR-neurons, through the use of an RNAi transgene. The defects caused by stg loss-of-function were evaluated in the developing eye imaginal disc by immunofluorescence, and during adult stages by scanning electron microscopy. This genetic approach was combined with a specific proteomic method, two-dimensional difference gel electrophoresis (2D-DIGE), to identify the potential substrates in PR-cells. Our results showed that stg downregulation in PRs affects the well-patterned retina organization, inducing the loss of apical maintenance of PR-nuclei on the eye disc, and ommatidia disorganization. We also detected an abnormal accumulation of cytoskeletal proteins and a disruption of the axon structure. As a consequence, the projection of PR-axons into the lamina and medulla neuropils of the optic lobe was impaired. Upon stg downregulation, we also detected that PR-cells accumulate Cyclin B. Although the rough eye phenotype observed upon stg downregulation suggests neurodegeneration, we did not detect neuronal death during larval stages, suggesting that it likely occurs during pupal stages or during adulthood. By 2D-DIGE, we identified seven proteins which were differentially expressed upon stg downregulation, and are potential neuronal substrates of Stg. Altogether, our observations suggest that Stg phosphatase plays an essential role in the Drosophila visual system neurons, regulating several cell components and processes in order to ensure their homeostasis.

Optimization of a multielectrode array (MEA)-based approach to study the impact of Aβ on the SH-SY5Y cell line

The human brain stores, integrates, and transmits information recurring to millions of neurons, interconnected by countless synapses. Though neurons communicate through chemical signaling, information is coded and conducted in the form of electrical signals. Neuroelectrophysiology focus on the study of this type of signaling. Both intra and extracellular approaches are used in research, but none holds as much potential in high-throughput screening and drug discovery, as extracellular recordings using multielectrode arrays (MEAs). MEAs measure neuronal activity, both in vitro and in vivo. Their key advantage is the capability to record electrical activity at multiple sites simultaneously. Alzheimer’s disease (AD) is the most common neurodegenerative disease and one of the leading causes of death worldwide. It is characterized by neurofibrillar tangles and aggregates of amyloid-β (Aβ) peptides, which lead to the loss of synapses and ultimately neuronal death. Currently, there is no cure and the drugs available can only delay its progression. In vitro MEA assays enable rapid screening of neuroprotective and neuroharming compounds. Therefore, MEA recordings are of great use in both AD basic and clinical research. The main aim of this thesis was to optimize the formation of SH-SY5Y neuronal networks on MEAs. These can be extremely useful for facilities that do not have access to primary neuronal cultures, but can also save resources and facilitate obtaining faster high-throughput results to those that do. Adhesion-mediating compounds proved to impact cell morphology, viability and exhibition of spontaneous electrical activity. Moreover, SH-SY5Y cells were successfully differentiated and demonstrated acute effects on neuronal function after Aβ addition. This effect on electrical signaling was dependent on Aβ oligomers concentration. The results here presented allow us to conclude that the SH-SY5Y cell line can be successfully differentiated in properly coated MEAs and be used for assessing acute Aβ effects on neuronal signaling.

Identification of protein complexes in Alzheimer's disease

A Doença de Alzheimer (AD) é a maior doença neurodegenerativa a nível mundial, e a principal causa de demência na população idosa. O processamento da proteína precursora de amilóide (APP) pelas β- e g- secretases origina o peptídeo Aβ, que agrega em oligómeros neurotóxicos e em placas senis. Estes são eventos-chave na patogénese da DA que levam à rutura da neurotransmissão sináptica, morte neuronal e inflamação neuronal do hipocampo e córtex cerebral, causando perda de memória disfunção cognitiva geral. Apesar dos grandes avanços no conhecimento do papel do processamento da APP na DA, a sua função fisiológica ainda não foi totalmente elucidada. Os mapas de interações proteína-proteína (PPI) humanos têm desempenhado um papel importante na investigação biomédica, em particular no estudo de vias de sinalização e de doenças humanas. O método dois-híbrido em levedura (YTH) consiste numa plataforma para a produção rápida de redes de PPI em larga-escala. Neste trabalho foram realizados vários rastreios YTH com o objetivo de identificar proteínas específicas de cérebro humano que interagissem com a APP, ou com o seu domínio intracelular (AICD), tanto o tipo selvagem como com os mutantes Y687F, que mimetizam o estado desfosforilado do resíduo Tyr-687. De facto, a endocitose da APP e a produção de Aβ estão dependentes do estado de fosforilação da Tyr-687. Os rastreios YTH permitiram assim obter de redes proteínas que interagem com a APP, utilizando como “isco” a APP, APPY687F e AICDY687F. Os clones positivos foram isolados e identificados através de sequenciação do cDNA. A maior parte dos clones identificados, 118, correspondia a sequências que codificam para proteínas conhecidas, resultando em 31 proteínas distintas. A análise de proteómica funcional das proteínas identificadas neste estudo e em dois projetos anteriores (AICDY687E, que mimetiza a fosforilação, e AICD tipo selvagem), permitiram avaliar a relevância da fosforilação da Tyr-687. Três clones provenientes do rastreio YTH com a APPY687F foram identificados como um novo transcrito da proteína Fe65, resultante de splicing alternativo, a Fe65E3a (GenBank Accession: EF103274), que codifica para a isoforma p60Fe65. A p60Fe65 está enriquecida no cérebro e os seus níveis aumentam durante a diferenciação neuronal de células PC12, evidenciando o potencial papel que poderá desempenhar na patologia da DA. A RanBP9 é uma proteína nuclear e citoplasmática envolvida em diversas vias de sinalização celulares. Neste trabalho caracterizou-se a nova interação entre a RanBP9 e o AICD, que pode ser regulada pela fosforilação da Tyr-687. Adicionalmente, foi identificada uma nova interação entre a RanBP9 e a acetiltransferase de histonas Tip60. Demonstrou-se ainda que a RanBP9 tem um efeito de regulação inibitório na transcrição mediada por AICD, através da interação com a Tip60, afastando o AICD dos locais de transcrição ativos. O estudo do interactoma da APP/AICD, modelado pela fosforilação da Tyr-687, revela que a APP poderá estar envolvida em novas vias celulares, contribuindo não só para o conhecimento do papel fisiológico da APP, como também auxilia a revelar as vias que levam à agregação de Aβ e neurodegeneração. A potencial relevância deste trabalho relaciona-se com a descoberta de algumas interações proteicas/vias de sinalização que podem que podem ser relevantes para o desenvolvimento de novas estratégias terapêuticas na DA.

Phase transitions and nonlinear phenomena in neuronal network models

Communication and cooperation between billions of neurons underlie the power of the brain. How do complex functions of the brain arise from its cellular constituents? How do groups of neurons self-organize into patterns of activity? These are crucial questions in neuroscience. In order to answer them, it is necessary to have solid theoretical understanding of how single neurons communicate at the microscopic level, and how cooperative activity emerges. In this thesis we aim to understand how complex collective phenomena can arise in a simple model of neuronal networks. We use a model with balanced excitation and inhibition and complex network architecture, and we develop analytical and numerical methods for describing its neuronal dynamics. We study how interaction between neurons generates various collective phenomena, such as spontaneous appearance of network oscillations and seizures, and early warnings of these transitions in neuronal networks. Within our model, we show that phase transitions separate various dynamical regimes, and we investigate the corresponding bifurcations and critical phenomena. It permits us to suggest a qualitative explanation of the Berger effect, and to investigate phenomena such as avalanches, band-pass filter, and stochastic resonance. The role of modular structure in the detection of weak signals is also discussed. Moreover, we find nonlinear excitations that can describe paroxysmal spikes observed in electroencephalograms from epileptic brains. It allows us to propose a method to predict epileptic seizures. Memory and learning are key functions of the brain. There are evidences that these processes result from dynamical changes in the structure of the brain. At the microscopic level, synaptic connections are plastic and are modified according to the dynamics of neurons. Thus, we generalize our cortical model to take into account synaptic plasticity and we show that the repertoire of dynamical regimes becomes richer. In particular, we find mixed-mode oscillations and a chaotic regime in neuronal network dynamics.