Related Experiment Video
Updated: Feb 9, 2026

10:52
Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
Published on: April 23, 2019
13.7K
SNAREs and control of synaptic release probabilities
1MRC Laboratory of Molecular Biology, Hills Road, Cambridge, CB2 2QH, UK.
Summary
Neurotransmitter release is a stochastic process. A simple SNARE fusion mechanism explains the probabilistic release of neurotransmitters, contributing to diverse synaptic responses.
Area of Science:
- Neuroscience
- Molecular Biology
- Synaptic Transmission
Background:
- Neurotransmitter release is a fundamental stochastic process in the nervous system.
- Regulatory factors modulate release probability, impacting neural information transfer.
- The molecular underpinnings of synaptic release probability remain under investigation.
Purpose of the Study:
- To analyze the stimulus-evoked assembly of the SNARE fusion machinery.
- To determine if a SNARE-based mechanism can quantitatively explain stochastic neurotransmitter release.
- To elucidate the contribution of the fusion machinery to synaptic response variability.
Main Methods:
- Analysis of stimulus-evoked probabilistic assembly of SNARE proteins.
- Quantitative modeling of neurotransmitter release dynamics.
- Investigating the role of fusion machinery in synaptic function.
Main Results:
- A simple SNARE-based mechanism quantitatively accounts for binomial release behavior.
- The fusion machinery directly underlies stochastic neurotransmitter release.
- The SNARE machinery contributes to the diversity of synaptic responses.
Conclusions:
- The SNARE fusion machinery provides a quantitative explanation for stochastic neurotransmitter release.
- The molecular basis of release probability involves the assembly dynamics of the SNARE complex.
- The fusion machinery plays a dual role in neurotransmitter release and synaptic response modulation.
Related Concept Videos
Probability Laws
44.4K
Overview
44.4K
Synaptic Signaling
79.8K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
79.8K
Synaptic Signaling
6.7K
Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
6.7K
SNAREs and Membrane Fusion
12.9K
Once a transport vesicle has recognized its target organelle, the vesicular membrane needs to fuse with the target membrane to unload the cargo. Transmembrane proteins called SNAREs present on organelle membranes and their vesicles, mediate vesicle fusion.
SNAREs exist in pairs that symmetrically interact and catalyze the fusion of the lipid bilayers in vesicle and target organelle. v-SNARE in the vesicle membrane are single polypeptide chains that bind to a complementary t-SNARE, composed of 2...
SNAREs exist in pairs that symmetrically interact and catalyze the fusion of the lipid bilayers in vesicle and target organelle. v-SNARE in the vesicle membrane are single polypeptide chains that bind to a complementary t-SNARE, composed of 2...
12.9K
Probability Distributions
12.2K
The probability of a random variable x is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
12.2K
Probability in Statistics
23.5K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
23.5K

