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Molecular Machines Regulating the Release Probability of Synaptic Vesicles at the Active Zone

Overview of attention for article published in Frontiers in Synaptic Neuroscience, March 2016
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Title
Molecular Machines Regulating the Release Probability of Synaptic Vesicles at the Active Zone
Published in
Frontiers in Synaptic Neuroscience, March 2016
DOI 10.3389/fnsyn.2016.00005
Pubmed ID
Authors

Christoph Körber, Thomas Kuner

Abstract

The fusion of synaptic vesicles (SVs) with the plasma membrane of the active zone (AZ) upon arrival of an action potential (AP) at the presynaptic compartment is a tightly regulated probabilistic process crucial for information transfer. The probability of a SV to release its transmitter content in response to an AP, termed release probability (Pr), is highly diverse both at the level of entire synapses and individual SVs at a given synapse. Differences in Pr exist between different types of synapses, between synapses of the same type, synapses originating from the same axon and even between different SV subpopulations within the same presynaptic terminal. The Pr of SVs at the AZ is set by a complex interplay of different presynaptic properties including the availability of release-ready SVs, the location of the SVs relative to the voltage-gated calcium channels (VGCCs) at the AZ, the magnitude of calcium influx upon arrival of the AP, the buffering of calcium ions as well as the identity and sensitivity of the calcium sensor. These properties are not only interconnected, but can also be regulated dynamically to match the requirements of activity patterns mediated by the synapse. Here, we review recent advances in identifying molecules and molecular machines taking part in the determination of vesicular Pr at the AZ.

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Mendeley readers

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The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Germany 1 <1%
Unknown 180 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 54 30%
Researcher 32 17%
Student > Bachelor 18 10%
Student > Master 17 9%
Student > Doctoral Student 13 7%
Other 15 8%
Unknown 34 19%
Readers by discipline Count As %
Neuroscience 67 37%
Agricultural and Biological Sciences 50 27%
Biochemistry, Genetics and Molecular Biology 10 5%
Medicine and Dentistry 8 4%
Psychology 5 3%
Other 10 5%
Unknown 33 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 March 2016.
All research outputs
#20,311,744
of 22,852,911 outputs
Outputs from Frontiers in Synaptic Neuroscience
#366
of 413 outputs
Outputs of similar age
#252,105
of 298,624 outputs
Outputs of similar age from Frontiers in Synaptic Neuroscience
#7
of 8 outputs
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