Stanford Tissue Mapping Center

摘要：数据分析核心 在我们对肠组织细胞结构的研究中， 使用RNA-seq和ATAC-seq的数据来分析以下基因的基因转录和调控程序： 细胞这些互补谱将用于定义先前描述的细胞类型， 可能会发现新的类型。我们的空间数据将通过高度复用的 标记抗体CODEX成像方法。定位表位在大肠杆菌中的差异表达 细胞群将提供与组学数据的链接。我们有现有的标准化管道， 处理这些数据类型中的每一种;这些工具已经在ENCODE协会中使用。 我们也有工具来集成这些不同的数据类型。我们将继续完善这些 当我们研究我们提出的焦点器官沿着其他器官时， 与HUBMAP合作。所有数据将提交给HIVE和公共存储库。

ABSTRACT: Data Analysis Core In our investigation of the cellular architecture of bowel tissue, we will generate single cell omics data using RNA-seq and ATAC-seq to profile the gene transcription and regulatory programs of cells. These complementary profiles will be used to define previously-described cell types and potentially discover novel types. Our spatial data will be mapped through the highly multiplexed tagged-antibody CODEX imaging method. The differential expression of mapped epitopes in the cell populations will provide a link to the omics data. We have existing standardized pipelines to process each of these data types; these tools are already in use in the ENCODE consortium. We also have tools to integrate these disparate 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 data will be submitted to the HIVE and public repositories.