Summary: A new computational model has mapped the brain’s vesicle cycle in unprecedented detail, providing fresh insight into how nerve cells communicate. Researchers collaborated to simulate how vesicles—tiny sacs that release neurotransmitters—operate within synapses.
The model reveals how proteins like synapsin-1 and tomosyn-1 regulate the recycling of vesicles, enabling synaptic transmission even at high firing rates. This breakthrough clarifies a long-standing mystery in neuroscience and opens the door to better understanding of diseases like depression and myasthenic syndromes.
Key Facts:
- Vesicle Behavior: Only 10–20% of vesicles are active at a time; the rest are stored in reserve.
- New Insights: Proteins like synapsin-1 and tomosyn-1 regulate vesicle movement and release.
- Medical Relevance: Findings could aid treatments for disorders involving faulty synaptic transmission.
Source: OIST
How do we think, feel, remember, or move?
These processes involve synaptic transmission, in which chemical signals are transmitted between nerve cells using molecular containers called vesicles.
Now, researchers have successfully modeled the vesicle cycle in unprecedented detail, revealing new information about the way our brain functions.
A joint study, published in Science Advances, between researchers at the Okinawa Institute of Science and Technology (OIST), Japan, and the University Medical Center Göttingen (UMG), Germany, has applied a unique computational modeling system, which considers the complicated interplay of vesicles, their cellular environments, activities and interactions, to create a realistic picture of how vesicles support synaptic transmission.
Their model predicts parameters of synaptic function that could not be tested experimentally in the past, opening new avenues in neuroscience investigations.
“Recent technological advances have enabled experimental scientists to capture increasing amounts of data.
“The challenge now lies in integrating and interpreting all the different types of data, to understand the complexities of the brain,” said Professor Erik De Schutter, head of the OIST Computational Neuroscience Unit and co-author on this study.
“Our model provides better molecular and spatial detail of the vesicle cycle, and much faster, than any other systems before. And it’s transferable to different cells and scenarios too. It’s a significant leap forward towards scientific aspirations of full cell and full tissue simulation.”
“We have been working on synapses for over 20 years, but some functional steps were difficult to test experimentally.
“After several years of fine-tuning experimental and computational work with our Japanese colleagues, we now have a model for testing new hypotheses, especially in the context of neurological diseases”, added Professor Silvio Rizzoli, director of the Department for Neuro- and Sensory Physiology at the UMG and also co-author on the study.
What is the synaptic vesicle cycle?
The vesicle cycle describes the steps through which neurotransmitters (chemical signals) are released at a synapse (a junction between nerve cells), to transfer information between cells.
Vesicles containing neurotransmitters move and dock at the membrane, ready to fuse and release their contents, before being recycled. The process is prompted by electrical stimulation within the brain and is driven by a complex signaling cascade.
Depending on the situation, different amounts of neurotransmitters need to be released over different time periods. To enable controlled and sustained synaptic transmission, only 10-20% of vesicles are readily available to dock at any given time (these are known as the recycling pool). Most vesicles are instead in a reserve pool, immobilized in a cluster.
Many details of this process, including how vesicles move between the reserve and recycling pool, were poorly known.
The mechanisms of vesicle recycling at high stimulation frequency
In their publication, the researchers shed new light on the vesicle recycling process in hippocampal synapses. With their model, they aimed to both confirm the behavior of vesicles at experimentally-observed firing frequencies, and explore behavior at higher frequencies.
They discovered that the vesicle cycle was able to operate at high stimulation frequencies, far beyond what is normally found in nature.
They were also able to pinpoint some of the reasons behind this robust cycle, identifying the roles of key proteins synapsin-1 and tomosyn-1 in regulating vesicle release from the clustered reserve pool.
The researchers noted that the efficiency of the vesicle cycle relied on molecular tethering. By physically connecting some vesicles to the membrane with tethers, a close supply of vesicles could be made available for rapid docking and neurotransmitter release.
These important findings enable deeper understanding of vesicle recycling, a process involved in many different diseases.
“For example, the release of neurotransmitters is hampered in botulism or some myasthenic syndromes. Treatments for depression and other major neurological diseases also often focus on synaptic transmission,” explained Prof. De Schutter.
“As we expand our models, the potential applications are vast, both in developing new therapeutics, and in deepening our fundamental understanding of how the brain works.”
About this neuroscience research news
Author: Tomomi Okubo
Source: OIST
Contact: Tomomi Okubo – OIST
Image: The image is credited to Neuroscience News
Original Research: Open access.
“Dynamic Regulation of Vesicle Pools in a Detailed Spatial Model of the Complete Synaptic Vesicle Cycle” by Erik De Schutter et al. Science Advances
Abstract
Dynamic Regulation of Vesicle Pools in a Detailed Spatial Model of the Complete Synaptic Vesicle Cycle
Synaptic transmission is driven by a complex cycle of vesicle docking, release, and recycling, maintained by distinct vesicle pools.
However, the partitioning of vesicle pools and reserve pool recruitment remain poorly understood.
We use a novel vesicle modeling technology to model the synaptic vesicle cycle in unprecedented molecular and spatial detail at a hippocampal synapse.
Our model demonstrates robust recycling of synaptic vesicles that maintains consistent synaptic release, even during sustained high-frequency firing.
We also show how the cytosolic proteins synapsin-1 and tomosyn-1 cooperate to regulate recruitment of reserve pool vesicles during sustained firing to maintain transmission, as well as the potential of selective vesicle active zone tethering to ensure rapid vesicle replenishment while minimizing reserve pool recruitment.
We also monitored vesicle usage in isolated hippocampal neurons using pH-sensitive pHluorin, demonstrating that reserve vesicle recruitment depends on firing frequency, even at nonphysiologically high firing frequencies, as predicted by the model.
