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000139158 0247_ $$2doi$$a10.3791/55176
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000139158 037__ $$aDZNE-2020-05480
000139158 041__ $$aEnglish
000139158 082__ $$a570
000139158 1001_ $$0P:(DE-2719)2810439$$aSugie, Atsushi$$b0$$eFirst author$$udzne
000139158 245__ $$aAnalyzing Synaptic Modulation of Drosophila melanogaster Photoreceptors after Exposure to Prolonged Light.
000139158 260__ $$aNew Delhi$$bJoVE124831$$c2017
000139158 264_1 $$2Crossref$$3online$$bMyJove Corporation$$c2017-02-10
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000139158 520__ $$aThe nervous system has the remarkable ability to adapt and respond to various stimuli. This neural adjustment is largely achieved through plasticity at the synaptic level. The Active Zone (AZ) is the region at the presynaptic membrane that mediates neurotransmitter release and is composed of a dense collection of scaffold proteins. AZs of Drosophila melanogaster (Drosophila) photoreceptors undergo molecular remodeling after prolonged exposure to natural ambient light. Thus the level of neuronal activity can rearrange the molecular composition of the AZ and contribute to the regulation of the functional output. Starting from the light exposure set-up preparation to the immunohistochemistry, this protocol details how to quantify the number, the spatial distribution, and the delocalization level of synaptic molecules at AZs in Drosophila photoreceptors. Using image analysis software, clusters of the GFP-fused AZ component Bruchpilot were identified for each R8 photoreceptor (R8) axon terminal. Detected Bruchpilot spots were automatically assigned to individual R8 axons. To calculate the distribution of spot frequency along the axon, we implemented a customized software plugin. Each axon's start-point and end-point were manually defined and the position of each Bruchpilot spot was projected onto the connecting line between start and end-point. Besides the number of Bruchpilot clusters, we also quantified the delocalization level of Bruchpilot-GFP within the clusters. These measurements reflect in detail the spatially resolved synaptic dynamics in a single neuron under different environmental conditions to stimuli.
000139158 536__ $$0G:(DE-HGF)POF3-342$$a342 - Disease Mechanisms and Model Systems (POF3-342)$$cPOF3-342$$fPOF III$$x0
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000139158 650_7 $$2NLM Chemicals$$aDrosophila Proteins
000139158 650_7 $$2NLM Chemicals$$aLuminescent Agents
000139158 650_7 $$0147336-22-9$$2NLM Chemicals$$aGreen Fluorescent Proteins
000139158 650_2 $$2MeSH$$aAnimals
000139158 650_2 $$2MeSH$$aDrosophila Proteins: metabolism
000139158 650_2 $$2MeSH$$aDrosophila melanogaster: metabolism
000139158 650_2 $$2MeSH$$aGreen Fluorescent Proteins: metabolism
000139158 650_2 $$2MeSH$$aLight
000139158 650_2 $$2MeSH$$aLuminescent Agents: metabolism
000139158 650_2 $$2MeSH$$aPhotoreceptor Cells, Invertebrate: metabolism
000139158 650_2 $$2MeSH$$aPhotoreceptor Cells, Invertebrate: radiation effects
000139158 650_2 $$2MeSH$$aPresynaptic Terminals
000139158 650_2 $$2MeSH$$aProtein Binding
000139158 650_2 $$2MeSH$$aProtein Transport
000139158 650_2 $$2MeSH$$aSynapses: metabolism
000139158 650_2 $$2MeSH$$aSynaptic Transmission: physiology
000139158 7001_ $$0P:(DE-2719)2810422$$aMöhl, Christoph$$b1$$udzne
000139158 7001_ $$0P:(DE-HGF)0$$aHakeda-Suzuki, Satoko$$b2
000139158 7001_ $$0P:(DE-HGF)0$$aMatsui, Hideaki$$b3
000139158 7001_ $$0P:(DE-HGF)0$$aSuzuki, Takashi$$b4
000139158 7001_ $$0P:(DE-2719)2810271$$aTavosanis, Gaia$$b5$$eLast author$$udzne
000139158 77318 $$2Crossref$$3journal-article$$a10.3791/55176$$b : MyJove Corporation, 2017-02-10$$n120$$tJournal of Visualized Experiments$$x1940-087X$$y2017
000139158 773__ $$0PERI:(DE-600)2975337-5$$a10.3791/55176$$gno. 120, p. 55176$$n120$$p55176$$q:120<55176$$tJoVE journal$$vNeuroscience$$x1940-087X$$y2017
000139158 8567_ $$2Pubmed Central$$uhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408834
000139158 8564_ $$uhttps://pub.dzne.de/record/139158/files/DZNE-2020-05480_Restricted.pdf
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000139158 9101_ $$0I:(DE-588)1065079516$$6P:(DE-2719)2810439$$aDeutsches Zentrum für Neurodegenerative Erkrankungen$$b0$$kDZNE
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000139158 9141_ $$y2017
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000139158 9201_ $$0I:(DE-2719)1013018$$kAG Tavosanis$$lDynamics of neuronal circuits$$x0
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