The human ether-à-go-go related gene (hERG) encodes the pore-forming voltage-gated K+ channel that is essential for cardiac repolarization. Dr. Tsushima’s laboratory has previously characterized the endogenous expression of SNARE proteins in the mammalian heart, and the interaction of the SNARE protein syntaxin 1A (STX1A) with several cardiac ion channels. Here, we utilize a multi-disciplinary approach to describe the inhibitory effect of STX1A on hERG channel function. STX1A impairs hERG channel maturation and trafficking to the plasma membrane and induces a hyperpolarizing shift in the voltage-sensitivity of steady-state inactivation. We identify the residues involved in this protein-protein interaction through the use of hERG truncation mutations. We also describe the pharmacological and temperature-mediated rescue of hERG channel trafficking in the presence of STX1A. The regulation of cardiac ion channels by SNARE proteins represents a novel biological mechanism that may have universally intrinsic implications for normal and diseased heart function.

The human ether-à-go-go related gene (hERG) encodes the pore-forming voltage-gated K+ channel that is essential for cardiac repolarization. Dr. Tsushima’s laboratory has previously characterized the endogenous expression of SNARE proteins in the mammalian heart, and the interaction of the SNARE protein syntaxin 1A (STX1A) with several cardiac ion channels. Here, we utilize a multi-disciplinary approach to describe the inhibitory effect of STX1A on hERG channel function. STX1A impairs hERG channel maturation and trafficking to the plasma membrane and induces a hyperpolarizing shift in the voltage-sensitivity of steady-state inactivation. We identify the residues involved in this protein-protein interaction through the use of hERG truncation mutations. We also describe the pharmacological and temperature-mediated rescue of hERG channel trafficking in the presence of STX1A. The regulation of cardiac ion channels by SNARE proteins represents a novel biological mechanism that may have universally intrinsic implications for normal and diseased heart function.

The dynamics of biological neural networks are of great interest to neuroscientists and are frequently studied using conductance-based compartmental neuron models. For speed and ease of use, neuron models are often reduced in morphological complexity. This reduction may affect input processing and prevent the accurate reproduction of neural dynamics. However, such effects are not yet well understood. Therefore, for my first aim I analyzed the processing capabilities of 'branched' or 'unbranched' reduced models by collapsing the dendritic tree of a morphologically realistic 'full' globus pallidus neuron model while maintaining all other model parameters. Branched models maintained the original detailed branching structure of the full model while the unbranched models did not. I found that full model responses to somatic inputs were generally preserved by both types of reduced model but that branched reduced models were better able to maintain responses to dendritic inputs. However, inputs that caused dendritic sodium spikes, for instance, could not be accurately reproduced by any reduced model. Based on my analyses, I provide recommendations on how to construct reduced models and indicate suitable applications for different levels of reduction. In particular, I recommend that unbranched reduced models be used for fast searches of parameter space given somatic input output data. The intrinsic electrical properties of neurons depend on the modifiable behavior of their ion channels. Obtaining a quality match between recorded voltage traces and the output of a conductance based compartmental neuron model depends on accurate estimates of the kinetic parameters of the channels in the biological neuron. Indeed, mismatches in channel kinetics may be detectable as failures to match somatic neural recordings when tuning model conductance densities. In my first aim, I showed that this is a task for which unbranched reduced models are ideally suited. Therefore, for my second aim I optimized unbranched reduced model parameters to match three experimentally characterized globus pallidus neurons by performing two stages of automated searches. In the first stage, I set conductance densities free and found that even the best matches to experimental data exhibited unavoidable problems. I hypothesized that these mismatches were due to limitations in channel model kinetics. To test this hypothesis, I performed a second stage of searches with free channel kinetics and observed decreases in the mismatches from the first stage. Additionally, some kinetic parameters consistently shifted to new values in multiple cells, suggesting the possibility for tailored improvements to channel models. Given my results and the potential for cell specific modulation of channel kinetics, I recommend that experimental kinetic data be considered as a starting point rather than as a gold standard for the development of neuron models.

Dissertation (Ph.D.)--University of South Florida, 2008. / Includes vita. Also available online. Includes bibliographical references (leaves 121-140).

Neurotransmitter release at presynaptic terminals is a complex process involving calcium ion influx through voltage-gated calcium channels (CaV). In addition to their role as entry points through which calcium influx may occur, CaV are now understood to be fundamental components of a common release-site complex that is highly adapted for modulation. Consistent with this model, I investigated mechanisms of modulating a presynaptic calcium channel, CaV2.2, via a heterotrimeric G-protein pathway. Using the patch-clamp technique, I demonstrated in chick dorsal root ganglion (DRG) neurons that the slow kinetics of G-protein inhibition of CaV2.2 via GTPgammaS were limited by the rate of GDP dissociation from the G-protein nucleotide binding site. In addition, I investigated the role of G-protein regulation of CaV2.2 currents evoked by action potential-like stimuli. Here, I characterized an inhibited current that was advanced in time with respect to uninhibited controls. These currents exhibited a shorter latency to current activation and faster deactivation. These findings may have important physiological ramifications on signal transduction and timing. In addition to G-protein regulation, presynaptic CaV2.2 have been demonstrated to exhibit a resistance to voltage-dependent inactivation (VDI), a property thought to be important in determining channel availability and synaptic excitability. I demonstrated a role for dynamic palmitoylation in conferring resistance to VDI in presynaptic terminals of the chick ciliary ganglion. Using tunicamycin, an inhibitor of palmitoylation, I induced a hyperpolarizing shift in the steady-state-inactivation (SSI) profile of presynaptic CaV2.2. Finally, I examined the role of a CaV interacting protein, Munc18, as a potential regulator of CaV. I probed for alterations in CaV2.2 function in DRG neurons that had been transfected with Munc18 or Munc18 siRNA. Despite the intimate interaction between Munc18 and CaV2.2, no major effects on the fundamental characteristics of CaV2.2 function were observed. However, a hyperpolarizing shift in the inactivation profile of CaV2.2 was determined in DRG neurons in which Munc18 was knocked down. It is not clear if this was a direct consequence of Munc18 perturbation.

Neurotransmitter release at presynaptic terminals is a complex process involving calcium ion influx through voltage-gated calcium channels (CaV). In addition to their role as entry points through which calcium influx may occur, CaV are now understood to be fundamental components of a common release-site complex that is highly adapted for modulation. Consistent with this model, I investigated mechanisms of modulating a presynaptic calcium channel, CaV2.2, via a heterotrimeric G-protein pathway. Using the patch-clamp technique, I demonstrated in chick dorsal root ganglion (DRG) neurons that the slow kinetics of G-protein inhibition of CaV2.2 via GTPgammaS were limited by the rate of GDP dissociation from the G-protein nucleotide binding site. In addition, I investigated the role of G-protein regulation of CaV2.2 currents evoked by action potential-like stimuli. Here, I characterized an inhibited current that was advanced in time with respect to uninhibited controls. These currents exhibited a shorter latency to current activation and faster deactivation. These findings may have important physiological ramifications on signal transduction and timing. In addition to G-protein regulation, presynaptic CaV2.2 have been demonstrated to exhibit a resistance to voltage-dependent inactivation (VDI), a property thought to be important in determining channel availability and synaptic excitability. I demonstrated a role for dynamic palmitoylation in conferring resistance to VDI in presynaptic terminals of the chick ciliary ganglion. Using tunicamycin, an inhibitor of palmitoylation, I induced a hyperpolarizing shift in the steady-state-inactivation (SSI) profile of presynaptic CaV2.2. Finally, I examined the role of a CaV interacting protein, Munc18, as a potential regulator of CaV. I probed for alterations in CaV2.2 function in DRG neurons that had been transfected with Munc18 or Munc18 siRNA. Despite the intimate interaction between Munc18 and CaV2.2, no major effects on the fundamental characteristics of CaV2.2 function were observed. However, a hyperpolarizing shift in the inactivation profile of CaV2.2 was determined in DRG neurons in which Munc18 was knocked down. It is not clear if this was a direct consequence of Munc18 perturbation.

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Gamma-aminobutyric acid (GABA) and short neuropeptide F (sNPF) are widespread signalling molecules in the brain of insects. In order to understand more about the signalling and to some extent start to unravel the functional roles of these two substances, this study has examined the locations of the transmitters and their receptors in the brain of the fruit fly Drosophila melanogaster using immunocytochemistry in combination with Gal4/UAS technique. The main focus is GABA and sNPF in feeding circuits and in the olfactory system. We found both GABA receptor types in neurons in many important areas of the Drosophila brain including the antennal lobe, mushroom body and the central body complex. The metabotropic GABAB receptor (GABABR) is expressed in a pattern similar to the ionotropic GABAAR, but some distribution differences can be distinguished (paper I). The insulin producing cells contain only GABABR, whereas the GABAAR is localized on neighbouring neurons. We found that GABA regulates the production and release of insulin-like peptides via GABABRs (paper II). The roles of sNPFs in feeding and growth have previously been established, but the mechanisms behind this are unclear. We mapped the distribution of sNPF with antisera to the sNPF precursor and found the peptide in a large variety of interneurons, including the Kenyon cells of the mushroom bodies, as well as in olfactory sensory neurons that send axons to the antennal lobe (paper III). We also mapped the distribution of the sNPF receptor in larval tissues and found localization in six median neurosecretory cells that are not insulin-producing cells, in neuronal branches in the larval antennal lobe and in processes innervating the mushroom bodies (paper IV). In summary, we have studied two different signal substances in the Drosophila brain (GABA and sNPF) in some detail. We found that these substances and their receptors are widespread, that both sNPF and GABA act in very diverse systems and that they presumably play roles in feeding, metabolism and olfaction. / At the time of doctoral defense, the following paper was unpublished and had a status as follows: Paper 4: Manuscript.

Thesis (Ph.D.)--University of South Florida, 2005. / Includes vita. Includes bibliographical references (leaves 128-144). Also available online.

Thesis (Ph. D.)--University of Virginia, 2008. / Title from title page. Includes bibliographical references. Also available online through Digital Dissertations.