The development of the central nervous system is dysregulated in neurodevelopmental disorders such as intellectual disability, autism spectrum disorder, and epilepsy. These three disorders have different clinical features, yet there is high comorbidity between them. They can be difficult to study due to their highly complex aetiologies, however there are various monogenic diseases that can cause all of them, including SYNGAP1 haploinsufficiency where the synaptic guanosine triphosphatase (GTPase)-activating protein (SYNGAP) protein levels are highly reduced; Fragile X syndrome where the fragile X mental retardation protein (FMRP) is no longer translated; and DNM1 epileptic encephalopathy where mutations in the Dynamin1 gene alter the protein function. These monogenic conditions are synaptopathies as the proteins affected play important roles in synapse stability and neurotransmission. Because of the high comorbidity between these disorders, it is hypothesised that there may be a common mechanism underlying them. We hypothesise that a deficit in presynaptic vesicle recycling may be part of a common mechanism underlying intellectual disability, autism spectrum disorder, and epilepsy especially in SYNGAP1 haploinsufficiency, Fragile X syndrome, and DNM1 epileptic encephalopathy. Using various fluorescent presynaptic activity reporters including synaptic pHluorins, tetramethylrhodamine dextran and calcium dyes to compare presynaptic activity in in vitro models of these monogenic conditions, we found differences in synaptic vesicle (SV) endocytosis in the genetically altered conditions compared to wildtype controls. We observed various SV endocytosis defects in clathrin-mediated endocytosis (CME) or activity-dependent bulk endocytosis (ADBE) in our models. We observed enhanced CME in SynGAP1 KO mouse hippocampal neurons. This enhanced SV endocytosis was accompanied by decreased SV cargo on the plasma membrane. Rat SynGAP1 KO hippocampal neurons did not display enhanced SV endocytosis, nor did neurons with the GTPase-activating (GAP) domain of SynGAP deleted. This was perhaps due to the altered time course of development between these rodent species. In mouse and rat models of Fragile X syndrome, CME was not altered compared to wildtype controls. However, in a rat model, we observed fewer nerve terminals undergoing ADBE which is the dominant SV endocytosis mode during elevated neuronal activity. De novo epileptic encephalopathy-associated mutations in DNM1 had differential effects on SV recycling through both CME and ADBE. Mouse hippocampal neurons overexpressing Dyn1R237W, Dyn1I289F and Dyn1H396D all showed less CME compared to overexpression of Dyn1WT. Moreover, fewer nerve terminals overexpressing Dyn1H396D were found to undergo ADBE. We also found that a large-conductance potassium (BK) channel opener can accelerate clathrin-mediated endocytosis and thus may be able to rescue the impaired SV endocytosis caused by these mutants. Although there is not yet a common underlying pathway at the presynaptic level between these conditions, SV recycling dysfunction is present across all of these models. Furthermore, we propose an axis of pathophysiology model where optimal SV endocytosis is required for optimised neural performance. We propose that either decreased or increased SV endocytosis can lead to the synaptic dysfunction observed in these models.

Synaptic vesicle (SV) recycling in the presynapse is essential for the maintenance of neurotransmission. During mild stimulation clathrin-mediated endocytosis (CME) dominates, however during intense stimulation activity-dependent bulk endocytosis (ADBE) is the dominant form of membrane retrieval. The aim of this thesis was to determine how the signalling molecule GSK3 controlled ADBE, with the hypothesis that this enzyme was required at multiple stages of this endocytosis mode. I also hoped to identify a specific cargo for ADBE. I found that during intense action potential stimulation, a localised calcium increase is necessary for the activation of Akt, which inhibited GSK3. This activation was mediated via a phosphatidylinositol 3-kinase (PI3K)-dependent mechanism. Furthermore, I found that phosphatidylinositol 4-kinaseIIα (PI4KIIα), a molecule whose abundance is regulated by GSK3, had a key role in ADBE. Specifically, I found that the absence of PI4KIIα accelerated CME but inhibited ADBE and that PI4KIIα controls CME and ADBE via distinct mechanisms. The PI4KIIα study revealed potential cross-talk between CME and ADBE. To determine whether modulation of either endocytosis mode impacts on the other, the retrieval of genetically-encoded reporters of SV cargo was monitored during intense stimulation during inhibition of either CME or ADBE. The recovery of almost all SV cargo was unaffected by ADBE inhibition but was arrested by abolishing CME. In contrast, VAMP4-pHluorin retrieval was perturbed by inhibiting ADBE and not by blocking CME. Knockdown of VAMP4 also arrested ADBE, indicating that in addition to being the first identified ADBE cargo, it is also essential for this endocytosis mode to proceed.

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Synaptic vesicle recycling is the reuse of synaptic membrane material and proteins after vesicles have been exocytosed at the pre-synaptic terminal of a neuronal synapse. The discovery of the mechanisms by which recycling operates is a subject of active research. Within small mammalian central nervous system nerve terminals, two studied mechanisms of recovery are clathrin-mediated endocytosis and activity-dependent bulk endocytosis. Research into the comparative kinetics and mechanisms underlying these endocytosis mechanisms commonly involves time-series fluorescence microscopy of in vitro cultures. Synaptic proteins are tagged with fluorescent markers, or the synaptic vesicles are labelled with fluorescent dye. The change in fluorescence levels of individual synapses over time in response to stimuli is used to understand synaptic activity. The image analysis of these time-series images frequently requires substantial manual effort to extract the changing synaptic fluorescence intensity levels over time. This work focusses on two closely interlinked areas, the development of improved automated image analysis tools to facilitate the analysis of microscopy image data, and computational simulations to leverage the data obtained from these experiments to gain mechanistic insight into the underlying processes involved in synaptic vesicle recycling. The imaged properties of synapses within the time-series images are characterised, in terms of synapse movement during the course of an experiment. This characterisation highlights the properties which risk adding error to the extracted fluorescence intensity data, as analysis generally requires segmentation of regions of interest with fixed size and location. Where possible, protocols to optimise the manual selection of synapses in the image are suggested. The manual selection of synapses within time-series images is a common but time consuming and difficult task. It requires considerable skill on the part of the researcher to select synapses from noisy images without introducing error or bias. Automated tools for either general image segmentation or for segmentation of synapse-like puncta do exist, but have mixed results when applied to time-series experiments. This work introduces the use of knowledge of the experiment protocol into the segmentation process. The selection of synapses as they respond to known stimuli is compared against other current segmentation methods, and tools to perform this segmentation are provided. This use of synapse activity improves the quality of the segmented set of synapses over existing segmentation tools. Finally, this work builds a number of computational models, to allow published individual data points to be aggregated into a coherent view of overall synaptic vesicle recycling. The first is FM-Sim, a stochastic hybrid model of overall synapse recycling as is expected to occur during the course of an experiment. This closed system model handles the processes of exocytosis and endocytosis. It uses Bayesian inference to fit model parameters to experimental data. In particular, it uses the experimental protocol to separate the mechanisms and rates that may contribute to the observed experimental data. The second is a mathematical model of one aspect of synaptic vesicle recycling of particular interest - homoeostasis of plasma membrane integrity on the presynaptic terminal. This model provides bounds on efficiency of the studied endocytosis mechanisms at recovery of plasma membrane area during and after neuronal stimulus. Both the image analysis and the computational simulations demonstrated in this work provide useful tools and insights into current research of synaptic vesicle recycling and the role of activity-dependent bulk endocytosis. In particular, the utility of adding time-dependent experimental protocol knowledge to both the image analysis tools and the computational simulations is shown.

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