2,402 research outputs found

    Investigating the effects of palmitoylation on the dopamine 1 receptor (D1)

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    The dopamine D1 receptor (D1) is a G protein-coupled receptor (GPCR) which regulates various key brain functions like attention, movement, reward, and memory. Understanding D1 signalling may open the horizon for novel treatments for neurological disorders. Upon agonist activation, the heterotrimeric G proteins Gαs activate adenylyl cyclase to increase cAMP/PKA signalling. D1 also engages β-arrestin proteins leading to β-arrestin dependent signalling. The D1 has two palmitoylation sites on cysteines 347&351 in its C-tail domain. However, the distinct roles and implications of palmitoylation on the D1 signalling, trafficking and β-arrestins recruitment are still largely unexplored. A palmitoylation D1 mutant was generated and luminescent based techniques such as BRET and split-Nanoluc complementation assay were employed, to delineate D1 palmitoylation effects on its pharmacology and signalling. The D1 agonists induced 50% less cAMP production in the mutant compared to wildtype (WT) and WT showed a more efficient dissociation of its Gαs. Moreover, the mutant receptor failed to recruit β-arrestin1&2, induced less ERK1/2 activation and internalises in an agonist-independent process while showing an altered intracellular Golgi trafficking. Also, in β-arrestin 1&2 KO HEK 293 cells similar cAMP production levels were reported for D1 WT and palmitoylation mutant. β-arrestin 1&2 KO blocked agonist-induced WT D1 plasma membrane trafficking, indicating that these β-arrestins are driving the differences between WT and the palmitoylation mutant D1. Taken together, our studies indicate that Gαs is the main transducer for D1 cAMP and ERK1/2 signalling and that palmitoylation is essential for its β-arrestin 1&2 interactions and modulating D1 signalling cascades in a drug-dependant process

    Principles of generalization for sensorimotor cerebellar learning

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    Principles of generalization for sensorimotor cerebellar learning

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    The role of AD protective variant PLCγ2P522R in modulating microglia mediated clearance and synaptic pruning

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    PLCG2-P522R, a rare coding variant in the Phospholipase C gamma-2 (PLCG2) gene, has been found to be protective against late onset Alzheimer's disease (AD). Within the central nervous system, PLCγ2 is most abundantly expressed in microglia, and microglial mediated neuroinflammatory system has emerged as a major contributor to the molecular and phenotypic changes observed in the AD brain. However, the mechanism by which the P522R variant of PLCγ2 reduces AD pathology is still unknown. BV2 (mouse microglia) cells and human induced pluripotent stem-cells (hiPSC) derived microglia were used in this thesis work to evaluate the role of PLCγ2 in modifying various disease-relevant microglia functions. PLCγ2WT and PLCγ2P522R expression constructs were transfected into BV2 cells to examine the effects of PLCγ2 overexpression on various microglia functions including amyloid beta (Aβ) clearance and synaptic targeting, and various transcriptional changes linked to AD. hiPSCs were genome edited using CRISPR/Cas9 to generate both heterozygous and homozygous forms of the PLCG2_P522R variant in healthy controls. These hiPSC derived microglia were used to explore the effects of the PLCγ2P522R basal level on disease-relevant processes, such as microglial capacity to uptake Aβ and synapses. Microglia transcriptional changes were examined using targeted qPCR analysis to investigate changes in expression of key microglial genes. Mitochondrial function and calcium level changes were also investigated in these microglia cells to determine their metabolic fitness. In addition, the microglia were subjected to acute and chronic treatment of oligomeric Aβ to examine the impact of PLCγ2P522R on microglia's ability to respond to acute and chronic stress. As a result, the effects of Aβ oligomers on lysosomal biogenesis and phagocytic capacities of these microglia were examined further. As a result of PLCγ2 overexpression, Aβ uptake and other immune- provoking cargoes like zymosan were significantly increased. In contrast, the uptake of synaptosomes in BV2 cells overexpressing PLCγ2 was considerably reduced. Similarly, microglia generated from hiPSCs also showed enhanced clearance of Aβ and preservation of synapses by PLCγ2P522R variants. In the PLCγ2P522R microglia variants, the expression of multiple genes, including IL-10 and CX3CR1, as well as mitochondrial function, cytoplasmic calcium flux, and cellular motility were all increased. It was found that the protective effect of PLCγ2P522R was vitally dependent on 'allelic-dose', as homozygous cells displayed a lower preservation of synapse and a distinct gene expression profile compared to heterozygous cells. Similarly, microglia with the protective mutation PLCγ2P522R displayed higher inflammatory cytokine IL-1β level, and better response to acute treatment with Aβ oligomers. PLCγ2P522R appeared to resist the quiescence that was seen in WT microglia variants, by increasing cytokine production and lysosomal biogenesis. My findings suggest that the P522R variant in PLCγ2 increases microglia capacity to clear toxic aggregates such as Aβ while preserving synapses. Furthermore, my findings suggests that PLCγ2P522R contributes to greater microglial surveillance, as well as microglia priming towards a pro-inflammatory state, along with an increased capacity to adapt to growing energy demands. This, however, also shows the delicate balance of this system, as increasing the 'dosage' of PLCγ2P522R may result in diminished favourable benefits

    Oscillatory mechanisms of conscious perception and attention

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    Although the prominent role of neural oscillations in perception and cognition has been continuously investigated, some critical questions remain unanswered. My PhD thesis was aimed at addressing some of them. First, can we dissociate oscillatory underpinnings of perceptual accuracy and subjective awareness? Current work would strongly suggest that this dissociation can be drawn. While the fluctuations in alpha-amplitude decide perceptual bias and metacognitive abilities, the speed of alpha activity (i.e., alpha-frequency) dictates sensory sampling, shaping perceptual accuracy. Second, how are these oscillatory mechanisms integrated during attention? The obtained results indicate that a top-down visuospatial mechanism modulates neural assemblies in visual areas via oscillatory re-alignment and coherence in the alpha/beta range within the fronto-parietal brain network. These perceptual predictions are reflected in the retinotopically distributed posterior alpha-amplitude, while perceptual accuracy is explained by the higher alpha-frequency at the to-be-attended location. Finally, sensory input, elaborated via fast gamma oscillations, is linked to specific phases of this slower activity via oscillatory nesting, enabling integration of the feedback-modulated oscillatory activity with sensory information. Third, how can we relate this oscillatory activity to other neural markers of behaviour (i.e., event-related potentials)? The obtained results favour the oscillatory model of ERP genesis, where alpha-frequency shapes the latency of early evoked-potentials, namely P1, with both neural indices being related to perceptual accuracy. On the other hand, alpha-amplitude dictates the amplitude of later P3 evoked-response, whereas both indices shape subjective awareness. Crucially, by combining different methodological approaches, including neurostimulation (TMS) and neuroimaging (EEG), current work identified these oscillatory-behavior links as causal and not just as co-occurring events. Current work aimed at ameliorating the use of the TMS-EEG approach by explaining inter-individual differences in the stimulation outcomes, which could be proven crucial in the way we design entrainment experiments and interpret the results in both research and clinical settings

    The role of the brain extracellular space in diffusion and cell signalling

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    134 p.The extracellular space (ECS) is a highly complex space consisting of narrow interconnected channels and reservoirs. The ECS substructures are usually few nanometers wide and consequently, they are very difficult to visualize. In addition, the brain ECS is a very dynamic structure, that changes at different temporal scales. These structural changes can be physiological or they can have a pathological cause. In fact, astrocytic swelling at the expense of the ECS volume is one of the hallmarks of epilepsy. Particularly, we are interested in how ECS volume changes affect GABAergic inhibition, the main source of inhibition in the brain and one of the most studied processes in the onset of epileptogenesis.On the other hand, most intercellular signalling in the brain occurs by diffusion of particles through the ECS channels. Understanding how diffusion is regulated by the fine geometry of the brain neuropil is becoming the focus of interest for researchers. However, progress in this field is limited by the difficulty to access local ECS diffusion with experimental techniques. Recently developed techniques, such as super-resolution shadow imaging (SUSHI), are opening the doors to understand diffusion of molecules through the brain sub-micron ECS structures. In this study, we aim to investigate how the nano-scale ECS geometry of the live brain tissue shapes the diffusion of transmitters and its impact on cellular communication. To attain this goal, we have developed a novel computational model, based on SUSHI images

    Functional connectivity and dendritic integration of feedback in visual cortex

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    A fundamental question in neuroscience is how different brain regions communicate with each other. Sensory processing engages distributed circuits across many brain areas and involves information flow in the feedforward and feedback direction. While feedforward processing is conceptually well understood, feedback processing has remained mysterious. Cortico-cortical feedback axons are enriched in layer 1, where they form synapses with the apical dendrites of pyramidal neurons. The organization and dendritic integration of information conveyed by these axons, however, are unknown. This thesis describes my efforts to link the circuit-level and dendritic-level organization of cortico-cortical feedback in the mouse visual system. First, using cellular resolution all-optical interrogation across cortical areas, I characterized the functional connectivity between the lateromedial higher visual area (LM) and primary visual cortex (V1). Feedback influence had both facilitating and suppressive effects on visually-evoked activity in V1 neurons, and was spatially organized: retinotopically aligned feedback was relatively more suppressive, while retinotopically offset feedback was relatively more facilitating. Second, to examine how feedback inputs are integrated in apical dendrites, I optogenetically stimulated presynaptic neurons in LM while using 2-photon calcium imaging to map feedback-recipient spines in the apical tufts of layer 5 neurons in V1. Activation of a single feedback-providing input was sufficient to boost calcium signals and recruit branch-specific local events in the recipient dendrite, suggesting that feedback can engage dendritic nonlinearities directly. Finally, I measured the recruitment of apical dendrites during visual stimulus processing. Surround visual stimuli, which should recruit relatively more facilitating feedback, drove local calcium events in apical tuft branches. Moreover, global dendritic event size was not purely determined by somatic activity but modulated by visual stimuli and behavioural state, in a manner consistent with the spatial organization of feedback. In summary, these results point toward a possible involvement of active dendritic processing in the integration of feedback signals. Active dendrites could thus provide a biophysical substrate for the integration of essential top-down information streams, including contextual or predictive processing
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