A Database of Mammalian Neuronal Cell Types

哺乳动物神经元细胞类型数据库

• 批准号: 8608014
• 负责人: Sacha B Nelson
• 金额: $ 35.04万
• 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/8608014
• 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; abstracting; 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

Abstract 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 Reference 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.

摘要 神经元细胞类型是大脑功能的基石， 类型对了解神经系统疾病至关重要。新的遗传和基因组 越来越多的资源可用于识别和操纵特定的细胞类型， 鼠标我们将创建一个统一的网关，这些试剂和一个平台， 整合和分享与他们获得的数据，以加强在困难的 识别哺乳动物大脑神经元细胞类型的问题。落实 一个可搜索的、免费共享的开源资源数据库， 结果我们将在约90个细胞中的每一个中注释靶细胞类型的解剖位置。 通过将各个部分与艾伦大脑对齐， 参考Atlas，并将使用新型慢病毒增强子陷阱开发新菌株 老鼠的策略对于细胞类型的子集，我们将进行基因组-基因表达 分析以增强对神经元之间关系的无偏度量的了解， 细胞类型。我们将用工具整合细胞类型数据库和改进的图谱查看器 用于查看细胞类型特异性形态学、生理学和基因表达数据， 将这些数据与其他可用的大脑图谱和基因组数据库相连接。的能力 自由搜索和比较细胞类型特异性表型和基因表达数据将 使科学界的成员能够发展关于 特定细胞表型的分子基础和改进分类方案 神经元细胞类型。