Epigenetic tools and resources for cell-type and spatial analysis of individual mammalian non-neuronal cells

用于单个哺乳动物非神经元细胞的细胞类型和空间分析的表观遗传工具和资源

• 批准号: 9788401
• 负责人: Andrew Adey
• 金额: $ 56.11万
• 依托单位: OREGON HEALTH & SCIENCE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2021-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9788401
• 关键词: ATAC-seq; Address; Area; Awareness; Biological Assay; Brain; Catalogs; Cell Nucleus; Cells; Cellular Assay; Chromatin; Classification; Communities; Complement; Complex; Conscious; DNA Methylation; Data; Data Analyses; Data Set; Development; Dimensions; Enhancers; Epigenetic Process; Exhibits; Genetic Fingerprintings; Genetic Transcription; Genomics; Goals; Heterogeneity; Hippocampus (Brain); Human; Image; Immunohistochemistry; Individual; Injury; Label; Maintenance; Maps; Methods; Modeling; Molecular Conformation; Motor; Mus; Neuroglia; Neurons; Nuclear; Nuclear Antigens; Organ; Population; Property; Publishing; Rattus; Regulatory Element; Reporter; Research; Resolution; Resources; Rodent; Role; Sampling; Site; Sorting - Cell Movement; Specificity; Stains; Stratification; Support System; System; Techniques; Technology; Time; Tissues; Transgenic Mice; Transgenic Organisms; Variant; base; brain tissue; cell type; cohesion; combinatorial; density; design; epigenomics; falls; genome-wide; high throughput screening; improved; indexing; innovation; innovative technologies; mouse model; neglect; novel; promoter; recombinase; single cell technology; tool; transcriptome

ABSTRACT The mammalian brain is an enormously complex organ with myriad cell types cohesively working together to carry out a host of intricate tasks, from motor functions, to the storing and execution of consciousness. These cell types broadly fall into neuronal and non-neuronal classifications, the latter of which substantially outnumber the former and provide the support system and maintenance for the electrically active neuronal component. With the advent of single-cell platforms, we now have the capability to deeply assess and characterize all cell types in the brain; however, the majority of studies to date have specifically targeted neurons, largely neglecting their non-neuronal counterpart. In our proposed plan of research, we will directly address the dearth of single-cell omics data on non-neuronal cell types by the deployment of innovative technologies we have developed to assay epigenetic properties at the single-cell level in high throughput. We will focus specifically on non-neuronal cells in the human and rodent brain by enriching for the NeuN(-) population, the reciprocal of numerous neuron-focused studies. Assays will include the assessment of regulatory element usage by deploying chromatin accessibility assays, genome-wide profiling of DNA methylation, and assessing the three-dimensional folding of chromatin in the nucleus. In addition to profiling single cells at the regional level, we will adapt our assay platform to include the tracking of spatial information by high-density regional subsampling. We will deploy the spatially aware assay variant in the context of ischemic injury, which results in a gradient of glial reactivity radiating out from the injury site. Lastly, our assessment of regulatory networks with cell type and reactive-state specificity is ideally suited for the design of highly specific transgenic reporter mice. We will produce these lines using our identified regulatory modules to drive standard and split recombinase constructs that activate the INTACT reporter system to enable rapid and efficient isolation of target cells with high purity. The resources we propose to develop will broadly enable the interpretation of data and the development of studies that target the non- neuronal component of the mammalian brain.

抽象的 哺乳动物的大脑是一种非常复杂的器官，无数细胞类型共同工作 从电机功能到意识的存储和执行，执行许多复杂的任务。这些 细胞类型广泛地属于神经元和非神经元分类，后者实质上是 人数超过前者，并为电活动神经元提供支持系统和维护 成分。随着单细胞平台的出现，我们现在可以深入评估和 表征大脑中的所有细胞类型；但是，迄今为止的大多数研究都针对 神经元在很大程度上忽略了他们的非神经元对应物。 在我们提出的研究计划中，我们将直接解决有关非神经元数据的缺乏 通过部署创新技术的细胞类型，我们已经开发出来分析表观遗传特性 高吞吐量的单细胞水平。我们将专门关注人类的非神经元细胞 啮齿动物的大脑通过富集neun（ - ）种群，这是许多以神经元研究的互惠量。 测定将包括通过部署染色质可访问性测定法评估调节元件的使用， DNA甲基化的全基因组分析，并评估染色质的三维折叠 核。除了在区域一级分析单个单元外，我们还将调整我们的测定平台以包括 通过高密度区域子采样来跟踪空间信息。我们将部署空间意识的测定 在缺血性损伤的背景下的变体，这导致造成损伤的神经胶质反应性梯度 地点。最后，我们对具有细胞类型和反应性态特异性的调节网络的评估非常适合 用于设计高度特异性的转基因报告基因小鼠。我们将使用我们的确定生产这些行 调节模块以驱动标准和分裂重组酶构建体，以激活完整的报告基因 系统以高纯度的靶细胞快速有效地隔离。我们建议的资源 发展将广泛地解释数据和针对非目标的研究的发展 哺乳动物大脑的神经元成分。