Virtual presynaptic nerve terminal: a computational tool for studying synaptic transmitter release in health and disease

虚拟突触前神经末梢：用于研究健康和疾病中突触递质释放的计算工具

• 批准号: MR/T002786/1
• 负责人: Yulia Timofeeva
• 金额: $ 49.19万
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FT002786%2F1
• 关键词: Virtual; presynaptic; nerve; terminal; computational

Synaptic transmission forms the basis of neuronal communication in the brain. When an action potential invades a presynaptic structure (known as a bouton or terminal) it depolarises the presynaptic membrane, which activates Ca2+ channels leading to an influx of Ca2+ ions into the nerve terminal. This Ca2+ influx triggers fast fusion of synaptic vesicles (SV) filled with neurotransmitters. Neurotransmitters quickly diffuse towards the postsynaptic neuron, where they bind to specific receptors and evoke further electrical and/or chemical signalling. The efficiency of the whole process is ensured by the precise timing of the Ca2+ signal and SV fusing. Although the general molecular mechanism of transmitter release is well established, the precise regulation of vesicular release process at different synapses remains incompletely resolved.The main difficulty studying this regulation at the level of single synapses is that the majority of presynaptic boutons in the brain are very small, and as a result the experimental techniques are confronted with serious limitations. Data-constrained realistic computational models of presynaptic structures are therefore essential tools that allow one to complement the limitations of experimental approaches and to quantitatively predict the behaviour of nerve terminals during physiological neuronal activity. At present, the use of computational models is impeded because of the absence of a unified modelling framework of the presynaptic terminal that would allow research laboratories with limited mathematical/computational expertise to implement a realistic model for their experimental data.In this project we propose to develop such a unified computational framework model of a presynaptic terminal, which will allow the neuroscience community to explore mechanisms of Ca2+-driven transmitter release that cannot be directly determined experimentally. We will use the powerful software platform Virtual Cell (http://vcell.org/) for implementing and simulating our three-dimensional computational model. The model will include the key functional presynaptic elements that are known to be important in shaping transmitter release dynamics.Different types of synapses in the central nervous system have diverse structural and molecular organisation that leads to their distinct functional properties. During the project we will apply our implemented framework to investigate a number of scientific questions in collaboration with a group of world-leading experimental laboratories (end-users) both in the UK and abroad. In particular, we will adapt our computational framework to model several canonical synapse-types and then will systematically study how individual presynaptic elements regulate synaptic transmitter release both in health and disease. Models in each project will be constrained and tuned using existing and novel experimental data from the end-user laboratories.We anticipate that our results will provide novel quantitative insights into the regulation of transmitter release and will have an immediate impact in facilitating the experimental work in the end-user laboratories. We will also apply the developed models to investigate in silico the mechanisms of presynaptic bouton dysfunctions in collaboration with clinical and experimental colleagues in UCL Queen Square Institute of Neurology. In particular, we will focus on presynaptic channelopathies - episodic neurological disorders caused by mutations in presynaptic ion channels (including some forms of migraine, epilepsy and ataxias). At the end of the project, our validated computational framework will be released to the public domain for the research community together with a user-friendly manual explaining how individual modelling blocks can be run, linked, and modified to address a particular research question. This will provide a powerful resource for other experimental laboratories, particularly the ones that lack modelling expertise.

突触传递是大脑中神经元通讯的基础。当动作电位侵入突触前结构（称为终扣或末端）时，它使突触前膜去极化，这激活了Ca 2+通道，导致Ca 2+离子流入神经末梢。这种Ca 2+内流触发充满神经递质的突触囊泡（SV）的快速融合。神经递质迅速扩散到突触后神经元，在那里它们结合到特定的受体，并引起进一步的电和/或化学信号。整个过程的效率由Ca 2+信号和SV融合的精确定时来保证。虽然递质释放的一般分子机制已被很好地确定，但不同突触囊泡释放过程的精确调节仍没有完全解决，在单个突触水平研究这种调节的主要困难是，大脑中大多数突触前终扣非常小，因此实验技术面临严重的限制。因此，突触前结构的数据约束的现实计算模型是必不可少的工具，允许一个补充实验方法的局限性，并定量预测神经末梢的行为在生理神经元活动。目前，由于缺乏一个统一的突触前末梢建模框架，使得数学/计算专业知识有限的研究实验室能够为他们的实验数据实现一个现实的模型，因此阻碍了计算模型的使用。在本项目中，我们建议开发这样一个突触前末梢的统一计算框架模型，这将使神经科学界能够探索无法通过实验直接确定的Ca 2+驱动的递质释放机制。我们将使用强大的软件平台Virtual Cell（http：//vcell.org/）来实现和模拟我们的三维计算模型。该模型将包括关键的功能性突触前元件，这些元件在形成递质释放动力学方面非常重要。中枢神经系统中不同类型的突触具有不同的结构和分子组织，从而导致其独特的功能特性。在项目期间，我们将应用我们实施的框架，与英国和国外的一组世界领先的实验室（最终用户）合作，调查一些科学问题。特别是，我们将调整我们的计算框架来模拟几种典型的突触类型，然后将系统地研究单个突触前元件如何调节健康和疾病中的突触递质释放。每个项目中的模型将使用来自最终用户实验室的现有和新的实验数据进行约束和调整。我们预计，我们的结果将为调节发射物释放提供新的定量见解，并将对促进最终用户实验室的实验工作产生直接影响。我们还将与UCL Queen Square神经病学研究所的临床和实验同事合作，应用所开发的模型来研究突触前终扣功能障碍的机制。特别是，我们将专注于突触前离子通道病-由突触前离子通道突变引起的发作性神经系统疾病（包括某些形式的偏头痛，癫痫和共济失调）。在项目结束时，我们经过验证的计算框架将被发布到研究社区的公共领域，同时还将发布一本用户友好的手册，解释如何运行、链接和修改各个模型块以解决特定的研究问题。这将为其他实验室，特别是缺乏建模专门知识的实验室提供强大的资源。

项目成果

Slow-decaying presynaptic calcium dynamics gate long-lasting asynchronous release at the hippocampal mossy fiber to CA3 pyramidal cell synapse.

• DOI: 10.1002/syn.22178
• 发表时间: 2020-12
• 期刊: Synapse (New York, N.Y.)
• 作者: Chamberland S;Timofeeva Y;Evstratova A;Norman CA;Volynski K;Tóth K
• 通讯作者: Tóth K

The release of inhibition model reproduces kinetics and plasticity of neurotransmitter release in central synapses.

抑制模型的释放再现了中枢突触中神经递质释放的动力学和可塑性。

• DOI: 10.21203/rs.3.rs-2700789/v1
• 发表时间: 2023
• 期刊: Research square
• 作者: Norman,ChristopherA;Krishnakumar,ShyamS;Timofeeva,Yulia;Volynski,KirillE
• 通讯作者: Volynski,KirillE

Asynchronous glutamate release is enhanced in low release efficacy synapses and dispersed across the active zone.

• DOI: 10.1038/s41467-022-31070-4
• 发表时间: 2022-06-17
• 期刊: Nature communications
• 影响因子: 16.6