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  Non-negative Matrix Factorization as a Tool to Distinguish Between Synaptic Vesicles in Different Functional States

Neher, E., & Taschenberger, H. (2021). Non-negative Matrix Factorization as a Tool to Distinguish Between Synaptic Vesicles in Different Functional States. Neuroscience, 458, 182-202. doi:10.1016/j.neuroscience.2020.10.012.

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 Creators:
Neher, E.1, Author           
Taschenberger, Holger2, Author                 
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1Emeritus Group of Membrane Biophysics, MPI for Biophysical Chemistry, Max Planck Society, ou_1571137              
2Molecular neurobiology, Max Planck Institute of Experimental Medicine, Max Planck Society, ou_2173659              

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 Abstract: Synaptic vesicles (SVs) undergo multiple steps of functional maturation (priming) before being fusion competent. We present an analysis technique, which decomposes the time course of quantal release during repetitive stimulation as a sum of contributions of SVs, which existed in distinct functional states prior to stimulation. Such states may represent different degrees of maturation in priming or relate to different molecular composition of the release apparatus. We apply the method to rat calyx of Held synapses. These synapses display a high degree of variability, both with respect to synaptic strength and short-term plasticity during high-frequency stimulus trains. The method successfully describes time courses of quantal release at individual synapses as linear combinations of three components, representing contributions from functionally distinct SV subpools, with variability among synapses largely covered by differences in subpool sizes. Assuming that SVs transit in sequence through at least two priming steps before being released by an action potential (AP) we interpret the components as representing SVs which had been ‘fully primed’, ‘incompletely primed’ or undocked prior to stimulation. Given these assumptions, the analysis reports an initial release probability of 0.43 for SVs that were fully primed prior to stimulation. Release probability of that component was found to increase during high-frequency stimulation, leading to rapid depletion of that subpool. SVs that were incompletely primed at rest rapidly obtain fusion-competence during repetitive stimulation and contribute the majority of release after 3–5 stimuli.

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Language(s): eng - English
 Dates: 2021-01-132021-02-26
 Publication Status: Issued
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 Rev. Type: Peer
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Project name : This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC 2067/1-390729940 and the DFG Collaborative Research Center 1286 “Quantitative Synaptology” (E.N.).
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Title: Neuroscience
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 458 Sequence Number: - Start / End Page: 182 - 202 Identifier: ISSN: 0306-4522
CoNE: https://pure.mpg.de/cone/journals/resource/954925514498