Data Analysis Core

摘要：数据分析核心 在我们对肠道组织细胞结构的研究中，我们将继续产生 多模单元格分辨率数据。使用Chromium Multiome平台，我们生成 同步单核RNA ATAC-SEQ技术研究基因转录与调控 细胞的程序。我们已经定义了前面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路传输的分析进行映射： 食典免疫测定法和分子地图FISH测定法。因为Codex 吞吐量是可以扩展的，我们将使用它来映射将被重建为 三维地图。分子地图学将提供一个互补的转录组 食典地图，使单一核心数据能够更准确地与食典地图相结合。我们 拥有现有的标准化管道来处理这些数据类型中的每一个。我们也有工具来 集成这些多模式数据类型。我们将继续完善这些综合方法，如 我们与其他器官一起研究我们提议的焦点器官 HuBMAP。我们的所有数据都将提交给母公司和公共存储库，以供广泛访问 对社区的影响。

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.