Stanford Neuroscience Research Cores for Gene Vectors, Microscopy, and Behavior
斯坦福大学神经科学研究基因载体、显微镜和行为核心
基本信息
- 批准号:8787508
- 负责人:
- 金额:$ 71.38万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-03-01 至 2015-11-30
- 项目状态:已结题
- 来源:
- 关键词:AccountingAddressAdvertisingAreaBehaviorBehavior monitoringBehavioralBiological AssayBrainBrain DiseasesBrain InjuriesCellsCollaborationsCommunicationCommunitiesComplementary DNAComplexComputer HardwareComputer softwareConfocal MicroscopyCore FacilityData AnalysesDatabasesDevelopmentEarly identificationEnsureEnvironmentEquipmentExcisionFacultyFosteringFoundationsFundingGenesGoalsGrantHome environmentHumanHuman ResourcesImageImage AnalysisImaging TechniquesIndividualInjuryInstitutesInterdisciplinary StudyLaboratoriesLaboratory AnimalsLaboratory ResearchLearningMemoryMental disordersMicroscopeMicroscopyMolecularMonitorNervous system structureNeurologicNeuronsNeurosciencesNeurosciences ResearchPathologic ProcessesPatientsPhenotypePilot ProjectsPlasmidsProcessProductionProductivityProteinsProtocols documentationPublicationsQuality of lifeRecombinant ProteinsRecoveryReproducibilityResearchResearch PersonnelResourcesRodentScientistServicesSliceSolutionsSourceSpinal CordStandardizationStressStructureSystemTechnical ExpertiseTestingThree-Dimensional ImageTimeTissuesTrainingTranslatingTranslationsUniversitiesViralViral VectorVirusbehavior testbrain tissuecostcost effectivenessdata acquisitiondesignhuman diseaseimage visualizationimprovedinnovationknock-downmedical schoolsmeetingsneural circuitnovelnovel therapeutic interventionoperationprogramsresearch facilitytomographytooltranslational neurosciencetwo-photonvectorvirus coreweb site
项目摘要
This proposal seeks to establish essential core research facilities to meet the following identified shared needs of the Stanford Neuroscience research community: (1) gene vector and virus production, (2) advanced microscopy data acquisition and analysis, and (3) automated behavioral phenotyping. Viral vectors are used to express recombinant proteins and/or knock down expression of endogenous proteins in specific subsets of cells in brain tissue. It is even possible to express proteins that enable precise temporal control over the activity of individual neurons. Use of such viral tools is revolutionizing neuroscience research. A centralized core facility will vastly improve the efficiency and cost-effectiveness of virus production.
Three dimensional image analysis and visualization are essential for quantifying information from volume imaging techniques, such as Array Tomography, and single- and two-photon confocal microscopy. Software and hardware for this type of analysis is expensive, and has a steep learning curve. This proposal will fund the Image Analysis Center, a central resource with technical expertise to assist scientists with image analysis problems, and an electrophysiological recording setup for an existing shared two-photon tissue slice rig.
Standardized, replicable behavioral tests are critical to translating progress from basic neuroscience research to treatments relevant to human disease. Automated behavioral phenotyping can provide more consistent results by eliminating stress due to removal from the home cage and novelty effects from the test environment. Automated testing can also Improve throughput and reduce costs. This proposal will provide funds to expand capacity for automated behavioral testing in an existing core facility.
These core facilities will be a central part of SINTN's effort to advance our understanding of normal brain and spinal cord function at the molecular, cellular, and neural circuit level, and to elucidate the pathological processes underlying malfunction of the nervous system following injury or neurologic and psychiatric diseases.
Creating core services to meet these shared research needs will foster efficiency and productivity by minimizing the unnecessary duplication of equipment and creating a centralized source of expertise for shared tasks with the net effect of better solutions in less time. Moreover, the resulting formal and informal collaborations will provide the foundation for a richer, stronger, and more vibrant research community.
该提案旨在建立必要的核心研究设施,以满足斯坦福大学神经科学研究界以下已确定的共同需求:(1)基因载体和病毒生产,(2)先进的显微镜数据采集和分析,以及(3)自动行为表型分析。病毒载体用于表达重组蛋白和/或敲低脑组织特定细胞亚群中内源蛋白的表达。甚至可以表达能够精确控制单个神经元活动的蛋白质。这种病毒工具的使用正在彻底改变神经科学研究。集中化的核心设施将极大地提高病毒生产的效率和成本效益。
三维图像分析和可视化对于量化体成像技术(例如阵列断层扫描、单光子和双光子共焦显微镜)的信息至关重要。用于此类分析的软件和硬件价格昂贵,并且学习曲线陡峭。该提案将为图像分析中心提供资金,该中心是一个拥有技术专业知识的中央资源,可帮助科学家解决图像分析问题,以及现有共享双光子组织切片装置的电生理记录装置。
标准化、可复制的行为测试对于将基础神经科学研究的进展转化为与人类疾病相关的治疗至关重要。自动化行为表型分析可以消除因从笼子中移出而产生的压力以及测试环境中的新奇效应,从而提供更一致的结果。自动化测试还可以提高吞吐量并降低成本。该提案将为扩大现有核心设施的自动化行为测试能力提供资金。
这些核心设施将成为 SINTN 努力的核心部分,以促进我们在分子、细胞和神经回路水平上对正常大脑和脊髓功能的理解,并阐明损伤或神经系统和神经系统损伤后神经系统功能障碍的病理过程。精神疾病。
创建核心服务来满足这些共享研究需求将通过最大限度地减少不必要的设备重复并为共享任务创建集中的专业知识来源来提高效率和生产力,从而在更短的时间内提供更好的解决方案。此外,由此产生的正式和非正式合作将为更丰富、更强大、更有活力的研究社区奠定基础。
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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GARY K STEINBERG其他文献
GARY K STEINBERG的其他文献
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{{ truncateString('GARY K STEINBERG', 18)}}的其他基金
Investigating the pathogenesis of Moyamoya Disease using patient derived induced pluripotent stem cells
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10487543 - 财政年份:2021
- 资助金额:
$ 71.38万 - 项目类别:
Investigating the pathogenesis of Moyamoya Disease using patient derived induced pluripotent stem cells
使用患者来源的诱导多能干细胞研究烟雾病的发病机制
- 批准号:
10373587 - 财政年份:2021
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$ 71.38万 - 项目类别:
Stanford Neuroscience Research Cores for Gene Vectors, Microscopy, and Behaviors
斯坦福大学神经科学研究基因载体、显微镜和行为核心
- 批准号:
9923475 - 财政年份:2019
- 资助金额:
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Optogenetic approaches to study post-stroke recovery mechanisms
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- 批准号:
10530685 - 财政年份:2015
- 资助金额:
$ 71.38万 - 项目类别:
Optogenetic approaches to study post-stroke recovery mechanisms
研究中风后恢复机制的光遗传学方法
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10211210 - 财政年份:2015
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Optogenetic approaches to study post-stroke recovery mechanisms
研究中风后恢复机制的光遗传学方法
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10364739 - 财政年份:2015
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9288239 - 财政年份:2015
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8670793 - 财政年份:2013
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$ 71.38万 - 项目类别:
Meningeal Mast Cells: Key effectors of stroke pathology
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8623155 - 财政年份:2013
- 资助金额:
$ 71.38万 - 项目类别:
Optogenetic Approaches to Functional Recovery After Stroke
中风后功能恢复的光遗传学方法
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8492882 - 财政年份:2013
- 资助金额:
$ 71.38万 - 项目类别:
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