Data Analysis Core

摘要：数据分析核心 在我们对肠组织细胞结构的研究中，我们将继续产生 多模态单细胞分辨率数据。使用Chromium Multiome平台， 同时单核RNA+ATAC-seq来分析基因转录和调控 细胞程序我们已经定义了先前描述的细胞群体以及新的细胞， 类型和子类型。我们的空间数据将通过两种高度多重的分析进行映射： CODEX免疫测定和分子制图FISH测定。因为CODEX 吞吐量可以缩放，我们将使用它来映射将被重建的序列部分， 三维地图分子制图将提供一个互补的转录组 图，以使单核数据更准确地整合到CODEX图。我们 现有的标准化管道来处理这些数据类型中的每一种。我们也有工具 集成这些多模态数据类型。我们将继续完善这些综合方法， 我们沿着其他器官一起研究我们提出的焦点器官， HuBMAP。我们所有的数据都将提交给HIVE和公共存储库，供广泛访问 对社区的贡献

ABSTRACT: Data Analysis Core In our investigation of the cellular architecture of bowel tissue, we will continue to generate multimodal single-cell resolution data. Using the Chromium Multiome platform, we generate simultaneous single-nuclei RNA+ATAC-seq to profile the gene transcription and regulatory programs of cells. We have defined previously-described cell populations as well as novel cell types and sub-types. Our spatial data will be mapped through two highly multiplexed assays: the CODEX immunoassay and the Molecular Cartography FISH assay. Because CODEX throughput can be scaled, we will use it to map serial sections that will be reconstructed to make three-dimensional maps. Molecular Cartography will provide a complementary transcriptome map to enable more accurate integration of the single-nuclei data to the CODEX maps. We have existing standardized pipelines to process each of these data types. We also have tools to integrate these multi-modal data types. We will continue to refine these integrative methods as we investigate our proposed organ of focus along with other organs in coordination with HuBMAP. All of our data will be submitted to the HIVE and public repositories for broad access to the community.