High Throughput Approaches for Cell-Specific Synapse Characterization
用于细胞特异性突触表征的高通量方法
基本信息
- 批准号:9380589
- 负责人:
- 金额:$ 219.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-01 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:AnatomyAxonBedsBehavioralBrainCellsCerebral cortexChimeric ProteinsCognitiveComplementComplexDataData AnalysesData SetDendritic SpinesDetectionDevelopmentDiseaseDyesElectrophysiology (science)Energy TransferEsthesiaFluorescenceGeneticGoalsHumanImageImage AnalysisInterneuronsKnowledgeLabelLesionLinkMapsMediatingMemoryMethodologyMethodsModelingMolecular GeneticsMusNeocortexNeural PathwaysNeuronsNoiseOutputPatternPlasticizersPopulationPositioning AttributePropertyProteinsRabies virusReagentScienceSideSignal TransductionSiteSomatostatinStereotypingStructureSynapsesSystemTechnologyTestingThalamic NucleiThree-Dimensional ImageValidationViralVitronectinaerobic respiration control proteinbasecell typedata acquisitionexperiencefluorescence imaginghigh throughput analysishippocampal pyramidal neuronimage processingin vivoin vivo imaginginformation processingneocorticalneuroligin 1neuronal cell bodypostsynapticpresynapticpublic health relevancereconstitutionrelating to nervous systemresponsetime intervaltool
项目摘要
PROJECT DESCRIPTION
Synapses are formed, broken and reformed dynamically both during development, normal
function and in response to activity. Although this general principle is well-established, the way in
which this is manifested in specific subtypes of neurons across a complex network, and how
altered patterns of synaptic input will determine network function, have not been quantitatively
investigated. Here we propose to develop molecular genetic tools for defining synaptic
organization and connectivity in the mouse brain using fluorogen activating proteins (FAPs), a
robust and modular system that enables multiplexed fluorescence identification of synapses and
cell-specific connectivity. Our preliminary data indicate that we can target FAPs to synapses for
quantitative analysis, as well as import 3D fluorescence image data for automated synapse
detection using the image processing platform Imaris. Here we will create and validate pre- and
postsynaptic targeting of fluorescent and FAP proteins respectively, acheiveing trans-synaptic
FRET signal with high signal-to-background sensitized emission, allowing selective detection of
synaptic connections formed between two genetically selected cell populations. These
constructs, and the associated imaging and analysis approach, establish a pipeline for high-
throughput data acquisition and analysis for assignment of cell-type specific contacts. As a test-
bed for this technology, we will employ it to determine the synaptic input map for an important
subset of cortical interneurons, somatostatin-expressing GABAergic cells, in the mouse
neocortex.
项目描述
突触在发育、正常和发育过程中都是动态形成、断裂和重组的
功能和响应活动。虽然这一一般原则是既定的,
这表现在复杂网络中的特定神经元亚型中,以及如何表现
突触输入的改变模式将决定网络功能,尚未定量
研究了在这里,我们建议开发分子遗传学工具来定义突触
组织和连接在小鼠大脑中使用荧光激活蛋白(FAP),
一个强大的模块化系统,能够对突触进行多路荧光识别,
特定于细胞的连接性。我们的初步数据表明,我们可以将FAP靶向突触,
定量分析,以及导入3D荧光图像数据进行自动化突触
使用图像处理平台Imaris进行检测。在这里,我们将创建并验证pre-and
荧光蛋白和FAP蛋白的突触后靶向,实现跨突触
FRET信号具有高信号背景敏化发射,允许选择性检测
两个基因选择的细胞群之间形成的突触连接。这些
结构,以及相关的成像和分析方法,建立了一个管道,
用于分配小区类型特定联系人的吞吐量数据采集和分析。作为一个测试-
床这项技术,我们将采用它来确定突触输入地图的一个重要的
小鼠皮质中间神经元的一个亚群,生长抑素表达GABA能细胞
新皮层
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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ALISON L BARTH其他文献
ALISON L BARTH的其他文献
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{{ truncateString('ALISON L BARTH', 18)}}的其他基金
Fluorescence-based methods for microconnectivity analysis in neocortex
基于荧光的新皮质微连接分析方法
- 批准号:
10413555 - 财政年份:2022
- 资助金额:
$ 219.44万 - 项目类别:
Inhibitory synaptic plasticity during learning
学习过程中的抑制性突触可塑性
- 批准号:
10270121 - 财政年份:2020
- 资助金额:
$ 219.44万 - 项目类别:
MACHINE LEARNING APPROACHES FOR ELECTROPHYSIOLOGICAL CELL CLASSIFICATION
电生理细胞分类的机器学习方法
- 批准号:
9568053 - 财政年份:2017
- 资助金额:
$ 219.44万 - 项目类别:
MACHINE LEARNING APPROACHES FOR ELECTROPHYSIOLOGICAL CELL CLASSIFICATION
电生理细胞分类的机器学习方法
- 批准号:
9449797 - 财政年份:2017
- 资助金额:
$ 219.44万 - 项目类别:
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