Fluorescent biosensors for imaging neurotransmitters: observing synapses in actio
Fluorescent biosensors for imaging neurotransmitters: observing synapses in actio
批准号:
8758411
负责人:
Lin Tian
金额:
$234.98万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-19 至 2019-05-31
关键词:
AddressAminobutyric AcidsAnimalsAreaAutistic DisorderBehaviorBehavior ControlBiosensorBrainCalciumCommunicationComplexComputer SimulationEpilepsyEquilibriumEventExcitatory SynapseFluorescenceFutureGlutamatesGoalsImageImaging DeviceIndustryInhibitory SynapseLearningLinkLogicMeasuresMedicineMemoryMental DepressionMethodsMicroscopeMicroscopyMonitorNeuronsNeurosciencesNeurotransmittersOpticsOutcomePopulationProteinsReportingResearchResolutionSamplingSchizophreniaSignal TransductionStructureSynapsesSynaptic TransmissionTimeTissuesaddictionawakebasecalcium indicatordesigndrug discoverygamma-Aminobutyric Acidinformation processinginterestnervous system disorderneural circuitneurotransmitter releasenoveloptical sensorpublic health relevancerelating to nervous systemsensorspatiotemporaltooltwo-photon
中文摘要
描述(申请人提供):神经科学中最大的挑战之一是破译神经回路的逻辑,并将其与学习、记忆和行为联系起来。神经回路是一个动态网络,它结合了神经元在不同空间和时间尺度上的活动。因此,对神经回路的分析需要对不同时间和大脑结构的神经元活动进行广泛而密集的采样。现代显微镜和基于蛋白质的荧光传感器最近的突破使这一目标变得触手可及。例如,应用基因编码的钙指示剂,如GCaMP3,结合双光子显微镜,有助于大规模记录清醒、行为正常的动物在多个时间尺度上被遗传识别的群体的神经活动。这些应用极大地提高了我们对神经回路的动力学及其对行为的控制的理解--这是理解复杂大脑功能的关键第一步。在钙成像势头的基础上,加快未来对神经电路动力学分析的迫切需要是开发更广泛的光学传感器套件,以扩大可测量的神经元活动的种类。一个特别感兴趣的领域是突触传输,这是大脑中信息处理的关键事件,目前可用的光学工具很难获得它。在我们绘制出突触传递的动态图像之前,有两个关键问题需要解决。首先,我们必须了解突触连接是如何与其活动联系在一起的;其次,我们必须确定不同类型的神经递质如何在特定的回路中相互平衡。因此,我计划开发两类基于蛋白质的新型荧光传感器,使用最近才出现的方法,从这两个不同的角度监测突触传递。对于本提案中概述的第一个项目,我将开发专门设计的同步传感器
记录突触活动和连接性。最近,我参与了一种基因编码的神经递质传感器(IGluSnfr)的开发,以直接测量释放的谷氨酸。这种传感器首次提供了监测兴奋性的可能性。
突触在时间和空间上的活动。然而,它报告突触连接的能力,这是存储在神经回路中的一条重要信息,目前还缺乏。因此,我将制定策略,将iGluSnfr拆分为突触前和突触后的组成部分。这种设计器传感器将允许同时记录突触活动和连接,从而提供一种方法来寻找特定电路中依赖活动的突触。对于这个提案中概述的第二个项目,我将开发一种新的传感器来直接监测突触神经元之间的抑制性通信。众所周知,根据所释放的神经递质的种类,神经元之间的通信可以是兴奋性的,也可以是抑制性的。特定神经回路中不平衡的兴奋性和抑制性突触与一系列
神经障碍,包括抑郁、成瘾、自闭症、精神分裂症和癫痫。然而,用于直接监测具有所需时空分辨率的抑制信号的光学传感器仍然缺乏。我将利用计算建模来重新设计iGluSnFr来感知抑制性神经递质,如?-氨基丁酸(GABA)。类似地,将在项目一中开发的分裂策略将被进一步用于将GABA传感器分裂为突触前和突触后的组件。综上所述,这项拟议研究的成功结果将提供亟需的成像工具,使神经科学家能够在细胞、组织和整个动物水平上全面了解兴奋性和抑制性突触的作用。
英文摘要
DESCRIPTION (provided by applicant): One of the greatest challenges in neuroscience is to decipher the logic of the neural circuitry and link it to learning, memory, and behavior. Neural circuitry is a dynamic network that incorporates neuronal activity at a variety of spatial and temporal scales. Therefore, analysis of neural circuitry demands broad and dense sampling of neuronal activity across time and brain structures. Recent breakthroughs in modern microscope and protein based fluorescence sensors have brought this goal within reach. For example, application of genetically encoded calcium indicators, such as GCaMP3, combined with two-photon microscopy, has facilitated the large- scale recording of neural activity in a genetically-identified population at multiple time scales in awake, behaving animals. These applications have greatly advanced our understanding of the dynamics of neural circuitry and its control of behavior-a critical first step toward understanding complex brain function. Building upon the momentum of calcium imaging, the immediate need to accelerate future analyses of the dynamics of neural circuitry is to develop a broader suite of optical sensors to expand the kinds of neuronal activity that can be measured. One particular area of interest is synaptic transmission, a critical event of information processing in the brain that is difficult to access wth the optical tools currently available. There are two key questions that need to be addressed before we can develop a dynamic picture of synaptic transmission. First, we must understand how synaptic connectivity is linked to its activity; second, we must determine how different types of neurotransmitters balance with each other in a defined circuitry. Therefore, I plan to develop two classes of novel protein-based fluorescent sensors, using methods that have emerged only recently, to enable monitoring of synaptic transmission from these two different angles. For the first project outlined in this proposal, I will develop sensors specially designed for simultaneous
recording of both synaptic activity and connectivity. Recently, I have been involved in developing a genetically-encoded neurotransmitter sensor (iGluSnfr) to directly measure released glutamate. This sensor, for the first time, offers the potential for monitoring excitatory
synaptic activity in time and space. However, its ability to report synaptic connectivity, a piece f important information stored in the neural circuitry, is currently lacking. Therefore, I will develp strategies to split iGluSnfr into pre- and post-synaptic components. This designer sensor will permit simultaneous recording of both synaptic activity and connectivity, thus providing a way to find the synapses that are activity-dependent in a defined circuitry. For the second project outlined in this proposal, I will develop a new sensor to direct monitor inhibitory communication between neurons at synapses. It is known that based on the kind of neurotransmitters released, the communication between neurons can be either excitatory or inhibitory. Imbalanced excitatory and inhibitory synapses in specific neural circuitry have been implicated in an array of
neurological disorders, including depression, addiction, autism, schizophrenia and epilepsy. Yet, optical sensors for directly monitoring inhibitory signals with needed spatiotemporal resolution are still missing. I will leverage computational modeling to redesign iGluSnFr to sense inhibitory neurotransmitters, such as ?-aminobutyric acid (GABA). Similarly, the splitting strategy to be developed in project one will be further utilized to split the GABA sensor into pre- and post-synaptic components. Taken together, a successful outcome of the proposed research would provide much needed imaging tools to enable neuroscientists to obtain a comprehensive view of both excitatory and inhibitory synapses in action at the cellular, tissue, and whole-animal level.
期刊论文(5)
专著(0)
科研奖励(0)
会议论文
DOI:
10.3389/fnmol.2014.00097
发表时间:
2014
期刊:
Frontiers in molecular neuroscience
影响因子:
4.8
作者:
[Broussard GJ, Liang R, Tian L]
通讯作者:
Tian L
DOI:
10.1016/j.cbpa.2020.07.006
发表时间:
2020-08
期刊:
Current opinion in chemical biology
影响因子:
7.8
作者:
[Akash Pal;Lin Tian]
通讯作者:
Akash Pal;Lin Tian
DOI:
10.1038/s41551-019-0403-6
发表时间:
2019
期刊:
Nature biomedical engineering
影响因子:
28.1
作者:
[Andreoni,Alessio, Tian,Lin]
通讯作者:
Tian,Lin
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