A Database of Mammalian Neuronal Cell Types
A Database of Mammalian Neuronal Cell Types
批准号:
8304667
负责人:
Sacha B Nelson
金额:
$35.13万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-02-01 至 2017-01-31
关键词:
AffectAtlasesAutomobile DrivingBiologyBrainBrain DiseasesBrain MappingBrain regionCellsClassificationCollaborationsCommunitiesComplementDataDatabasesDevelopmentDiseaseEnhancersFamilyGene ExpressionGene Expression ProfileGene Expression ProfilingGene Transfer TechniquesGenesGeneticGenomeGenomicsGlutamatesIndividualKnowledgeLabelLinkLocationMetricMolecularMolecular ProfilingMorphologyMouse StrainsMusNeuronsOntologyPhenotypePhysiologyPropertyProsencephalonProtein FamilyReagentRecruitment ActivityRelative (related person)ReporterResourcesSamplingSchemeSpecific qualifier valueTelencephalonTetanus Helper PeptideTrans-ActivatorsTransgenic MiceTransgenic Organismsbasecell typedata sharingdiencephalongamma-Aminobutyric Acidgenome-wideimaging informaticsimprovedinsightmembernervous system disordernovelnovel strategiesopen sourcepromoterrecombinasetool
中文摘要
描述(由申请人提供):神经元细胞类型是脑功能的组成部分,细胞类型之间的差异对于理解神经系统疾病至关重要。新的遗传和基因组资源越来越多地用于识别和操纵小鼠中的特定细胞类型。我们将为这些试剂创建一个统一的网关,并建立一个平台,用于整合和共享使用这些试剂获得的数据,以促进识别哺乳动物大脑神经元细胞类型这一难题的进展。我们将实现一个可搜索的、免费共享的资源和实验结果的开源数据库。我们将通过将各个切片与艾伦脑参考图谱进行比对,注释约90种现有驱动/报告菌株中每种菌株中靶细胞类型的解剖位置,并将在小鼠中使用新型慢病毒增强子陷阱策略开发新菌株。对于细胞类型的子集,我们将进行基因组基因表达谱分析,以增强对神经元细胞类型之间关系的无偏度量的了解。我们将把细胞类型数据库和改进的图谱查看器与用于查看细胞类型特异性形态、生理和基因表达数据的工具整合起来,并将这些数据与其他可用的脑图谱和基因组数据库链接起来。自由搜索和比较细胞类型特异性表型和基因表达数据的能力将使科学界的成员能够开发关于特定细胞表型的分子基础的特定假设,并改进用于分类神经元细胞类型的方案。
公共卫生相关性:神经元细胞类型是大脑的功能构建块。我们将创建一个哺乳动物神经细胞类型数据库。为了提高这一努力的有效性,我们将产生新的小鼠品系,允许遗传靶向特定的细胞类型,并将分析使细胞类型彼此不同的基因表达模式。绝大多数脑疾病是主要影响特定细胞类型的疾病,因此整合和提高我们对哺乳动物脑细胞类型的理解可能有助于研究这些疾病。
英文摘要
DESCRIPTION (provided by applicant): Neuronal cell types are the building blocks of brain function and differences between cell types are critical to understanding nervous system disease. New genetic and genomic resources are increasingly available for identifying and manipulating specific cell types in the mouse. We will create a unified gateway to these reagents and a platform for integrating and sharing data obtained with them to enhance progress on the difficult problem of identifying the neuronal cell types of the mammalian brain. We will implement a searchable, freely shared open source database of resources and experimental results. We will annotate the anatomical location of targeted cell types within each of ~90 existing driver/reporter strains by aligning individual sections to the Allen Brain Referenc Atlas and will develop new strains using a novel lentiviral enhancer trap strategy in mice. For a subset of cell types we will perform genome-gene expression profiling to enhance insights from this unbiased metric of relationships between neuronal cell types. We will integrate the cell type database and improved atlas viewer with tools for viewing cell type-specific morphology, physiology and gene expression data, and will link these data with other available brain atlas and genomic databases. The ability to freely search and compare cell-type specific phenotypes and gene expression data will enable members of the scientific community to develop specific hypotheses about the molecular bases of specific cellular phenotypes and to improve schemes for classifying neuronal cell types.
PUBLIC HEALTH RELEVANCE: Neuronal cell types are the functional building blocks of the brain. We will create a Database of Mammalian Neuronal Cell-types. To enhance the usefulness of this effort we will generate new strains of mice that allow genetic targeting of specific cell types and will profile the gene expression patterns that make cell types different from one another. The great majority of brain diseases are diseases that primarily affect specific cell types, and therefore integrating and improving our understanding of cell types in the mammalian brain may help study of these diseases.
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会议论文
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海外基金