The exocytotic release of dopamine is one of the most characteristic but also one of the least appreciated processes in dopaminergic neurotransmission. Fluorescence imaging has yielded rich information about the properties of synaptic vesicles and the release of neurotransmitters in excitatory and inhibitory neurons. In contrast, imaging-based studies for in-depth understanding of synaptic vesicle behavior in dopamine neurons are lagging largely because of a lack of suitable preparations. Midbrain culture has been one of the most valuable preparations for the subcellular investigation of dopaminergic transmission; however, the paucity and fragility of cultured dopaminergic neurons limits their use for live cell imaging. Recent developments in stem cell technology have led to the successful production of dopamine neurons from embryonic or induced pluripotent stem cells. Although the dopaminergic identity of these stem cell-derived neurons has been characterized in different ways, vesicle-mediated dopamine release from their axonal terminals has been barely assessed. We report a more efficient procedure to reliably generate dopamine neurons from embryonic stem cells, and it yields more dopamine neurons with more dopaminergic axon projections than midbrain culture does. Using a collection of functional measurements, we show that stem cell-derived dopamine neurons are indistinguishable from those in midbrain culture. Taking advantage of this new preparation, we simultaneously tracked the turnover of hundreds of synaptic vesicles individually using pH-sensitive quantum dots. By doing so, we revealed distinct fusion kinetics of the dopamine-secreting vesicles, which is consistent within both preparations.
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http://dx.doi.org/10.5966/sctm.2015-0005 | DOI Listing |
J Neurochem
January 2025
Institute for Physiology, University of Tübingen, Tübingen, Germany.
Parkinson's disease (PD) is a prevalent neurodegenerative disease caused by the death of dopaminergic neurons within the substantia nigra pars compacta (SNpc) region of the midbrain. Recent genomic and single cell sequencing data identified oligodendrocytes and oligodendrocyte precursor cells (OPCs) to confer genetic risk in PD, but their biological role is unknown. Although SNpc dopaminergic neurons are scarcely or thinly myelinated, there is a gap in the knowledge concerning the physiological interactions between dopaminergic neurons and oligodendroglia.
View Article and Find Full Text PDFAm J Physiol Cell Physiol
January 2025
Instituto de Biofísica Carlos Chagas Filho, Universidade Federal do Rio de Janeiro.
O-GlcNAcylation is a post-translational modification characterized by the covalent attachment of a single moiety of GlcNAc on serine/threonine residues in proteins. Tyrosine hydroxylase (TH), the rate-limiting step enzyme in the catecholamine synthesis pathway and responsible for production of the dopamine precursor, L-DOPA, has its activity regulated by phosphorylation. Here, we show an inverse feedback mechanism between O-GlcNAcylation and phosphorylation of TH at serine 40 (TH pSer40).
View Article and Find Full Text PDFPhysiol Behav
January 2025
Department of Biomedical Sciences, Joan C Edwards School of Medicine at Marshall University, 1700 3(rd) Avenue, Huntington, WV 25703, USA. Electronic address:
With the rise in fast-food culture and the continued high numbers of tobacco-related deaths, there has been a great deal of interest in understanding the relationship between high-fat diet (HFD) and nicotine use behaviors. Using adult mice and a patch-clamp electrophysiology assay, we investigated the influence of HFD on the excitability of ventral tegmental area (VTA) dopamine neurons and pyramidal neurons in the medial prefrontal cortex (mPFC) given their role in modulating the reinforcing effects of nicotine and natural rewards. We then examined whether HFD-induced changes in peripheral markers were associated with nicotine use behaviors.
View Article and Find Full Text PDFPhys Eng Sci Med
January 2025
Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bangalore, India.
Parkinson Disease (PD) is a complex neurological disorder attributed by loss of neurons generating dopamine in the SN per compacta. Electroencephalogram (EEG) plays an important role in diagnosing PD as it offers a non-invasive continuous assessment of the disease progression and reflects these complex patterns. This study focuses on the non-linear analysis of resting state EEG signals in PD, with a gender-specific, brain region-specific, and EEG band-specific approach, utilizing recurrence plots (RPs) and machine learning (ML) algorithms for classification.
View Article and Find Full Text PDFBackground: Deficiency in the lysosomal enzyme, glucocerebrosidase (GCase), caused by mutations in the GBA1 gene, is the most common genetic risk factor for Parkinson's disease (PD). However, the consequence of reduced enzyme activity within neural cell sub-types remains ambiguous. Thus, the purpose of this study was to define the effect of GCase deficiency specifically in human astrocytes and test their non-cell autonomous influence upon dopaminergic neurons in a midbrain organoid model of PD.
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