A Spatially resolved molecular Atlas of Human Endothelium

摘要-数据分析核心 人体循环系统是由不同类型的细胞参与分子相互作用 与人体内的每一种组织和细胞类型相匹配。内皮细胞分化成动脉，静脉， 淋巴管和毛细血管类型，并且这些又可以通过器官或器官区高度特化。识别 在单细胞转录组学、表观基因组学或原位研究中， 因此，表达数据是一个令人生畏的挑战。定义基因调控的空间模式 血管细胞，解剖它们与其他细胞类型之间相互作用的分子基础， 对大规模数据集进行操作的严格统计方法。数据分析核心将解决这些问题 挑战加州理工大学组织绘图中心（TMC）的数据分析核心（DAC）将由Dr。 科尔崔普内尔。它将负责分析来自TMC的所有数据， 生物信息管道符合HIVE和更广泛的HubMAP联盟采用的标准。的 DAC管道将接受单细胞RNA-seq、单细胞ATAC-seq和seqFISH图像作为输入， 产生作为输出的多参数图像，这些图像被组织成所述细胞的集成的3D分子图谱。 人体脉管系统DAC还将定义器官特异性和年龄依赖性分子变异的模式 跨细胞最后，DAC将与协调核心密切合作，以确保我们的人类地图 血管系统被顺利地整合到更广泛的人类生物分子图谱中。

ABSTRACT - DATA ANALYSIS CORE The human circulatory system is comprised of diverse cell types which engage in molecular interactions with every tissue and cell type in the human body. Endothelial cells are specialized into arterial, venous, lymphatic, and capillary types, and these in turn may be highly specialized by organ or organ zone. Identifying the myriad cell types and subtypes of the vascular system in single-cell transcriptomic, epigenomic, or ​in situ expression data is therefore a daunting challenging. Defining the spatial patterns in gene regulation across vascular cells, and dissecting the molecular basis of interactions between them and other cell types requires rigorous statistical methods that operate on large-scale datasets. The Data Analysis Core will address these challenges. The Data Analysis Core (DAC) of the ​Caltech-UW Tissue Mapping Center (TMC) will be led by Dr. Cole Trapnell. It will be responsible for analyzing all data from the TMC and for developing standardized bioinformatic pipelines that conform to standards adopted by the HIVE and wider HubMAP Consortium. The DAC pipeline will accept as input single-cell RNA-seq, single-cell ATAC-seq, and seqFISH images and produce as output multiparameter images that are organized into an integrated, 3D molecular atlas of the human vasculature. The DAC will also define patterns of organ-specific and age-dependent molecular variation across cells. Finally, the DAC will work closely with the Coordination Core to ensure that our map of the human vasculature is smoothly integrated into the wider Human BioMolecular Atlas.