A Database of Mammalian Neuronal Cell Types

哺乳动物神经元细胞类型数据库

• 批准号: 8304667
• 负责人: Sacha B Nelson
• 金额: $ 35.13万
• 依托单位: BRANDEIS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-02-01 至 2017-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8304667
• 关键词: Affect; Atlases; Automobile Driving; Biology; Brain; Brain Diseases; Brain Mapping; Brain region; Cells; Classification; Collaborations; Communities; Complement; Data; Databases; Development; Disease; Enhancers; Family; Gene Expression; Gene Expression Profile; Gene Expression Profiling; Gene Transfer Techniques; Genes; Genetic; Genome; Genomics; Glutamates; Individual; Knowledge; Label; Link; Location; Metric; Molecular; Molecular Profiling; Morphology; Mouse Strains; Mus; Neurons; Ontology; Phenotype; Physiology; Property; Prosencephalon; Protein Family; Reagent; Recruitment Activity; Relative (related person); Reporter; Resources; Sampling; Scheme; Specific qualifier value; Telencephalon; Tetanus Helper Peptide; Trans-Activators; Transgenic Mice; Transgenic Organisms; base; cell type; data sharing; diencephalon; gamma-Aminobutyric Acid; genome-wide; imaging informatics; improved; insight; member; nervous system disorder; novel; novel strategies; open source; promoter; recombinase; tool

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.

描述（由申请人提供）：神经元细胞类型是大脑功能的组成部分，细胞类型之间的差异对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的特定细胞类型。我们将为这些试剂创建一个统一的门户，并建立一个平台，用于整合和共享通过它们获得的数据，以促进在识别哺乳动物大脑神经元细胞类型这一难题上的进展。我们将实现一个可搜索的、自由共享的资源和实验结果的开源数据库。我们将通过将单个片段与Allen Brain参考图谱比对，在现有的约90种驱动/报告菌株中标注目标细胞类型的解剖位置，并将在小鼠中使用一种新的慢病毒增强子陷阱策略开发新的菌株。对于细胞类型的子集，我们将执行基因组-基因表达谱，以增强对神经细胞类型之间关系的这种无偏度量的见解。我们将整合细胞类型数据库和改进的图谱查看器，以及用于查看细胞类型特异性形态学、生理学和基因表达数据的工具，并将这些数据与其他可用的脑图谱和基因组数据库连接起来。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对特定细胞表型的分子基础提出特定假设，并改进分类神经细胞类型的方案。