Multiscale, Multimodal Analysis of Skin and Spatial Cell Organization

皮肤和空间细胞组织的多尺度、多模式分析

• 批准号: 10826224
• 负责人: Fiona Ginty
• 金额: $ 15万
• 依托单位: GENERAL ELECTRIC GLOBAL RESEARCH CTR
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-22 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10826224
• 关键词: 3-Dimensional; Adoption; Algorithms; Anatomy; Antibodies; Arteries; Biological Markers; Blood; Blood Vessels; Cell physiology; Cells; Classification; Collaborations; Communities; Data; Data Analyses; Endothelial Cells; Goals; Guidelines; Human BioMolecular Atlas Program; Imaging technology; Immune; Liquid substance; Location; Lymph; Lymphatic; Lymphatic Capillaries; Lymphocyte; Maps; Organ; Oxygen; Regulation; Resources; Sampling; Skin; Stains; Structure; Tissues; Vasodilation; Veins; Visualization; Work; cell type; collaboratory; community building; lymphatic vessel; multimodality; multiplexed imaging; nutrition; reconstruction; tissue mapping; working group

Project Summary/Abstract Tissue vasculature and lymphatics are an essential component of every organ and transport blood and lymph around the body, performing essential functions such as vasodilation regulation and immune cell transport. The goal of this supplemental proposal is to collaborate with the HuBMAP ZIPCODE project to develop a panel of antibodies that are specific for vascular and lymphatic cells and structures. We will provide this as a resource for the HuBMAP community for more comprehensive endothelial and lymphatic cell mapping across HuBMAP tissue mapping centers. We will generate data by staining those antibodies in skin using two multiplexed imaging technologies that are currently in use in HuBMAP (CODEX and Cell DIVE), using sequentially sectioned skin samples. We will use existing algorithms for 2D cell classification and 3D volume reconstruction of vascular and lymphatic cell types in these sequential sections. This data will be used as a resource by the HIVE and broader HuBMAP community for building maps of vascular and lymphatics vessels. Together with the ZIPCODE work, our project will help guide efforts across HuBMAP to triangulate distance between the closest artery, vein, and lymphatic capillary and relationships with nearest immune cells and other cell types. We will work with the ZIPCODE team to develop marker sets, best practices, and guidelines to enable efficient alignment and adoption across the Tissue Mapping Centers (TMCs) and activities in HuBMAP. To achieve this, we will work as a collaborative team to coordinate with the Anatomical Structures, Cell Types, plus Biomarkers (ASCT+B) tables, Organ Mapping Antibody Panels (OMAPs), data analysis working group, and HuBMAP Integration, Visualization & Engagement (HIVE) Collaboratory. We envisage that this granular mapping of endothelial cells and lymphatics will help incorporate cellular ZIP codes in spatial tissue profiling, i.e., connecting cellular function to the triangular distance between the closest artery, vein, and lymphatic capillary and provide new data on spatial location and functions of neighboring cells.

项目总结/摘要 组织脉管系统是每个器官和运输血液的基本组成部分 和淋巴围绕身体，执行基本功能，如血管舒张调节， 免疫细胞转运本补充提案的目标是与HuBMAP合作 ZIPCODE项目开发一组对血管和淋巴细胞特异的抗体 和结构。我们将把它作为一个资源提供给HuBMAP社区， HuBMAP组织图谱中心的全面内皮细胞和淋巴细胞图谱。 我们将通过使用两个多路复用成像对皮肤中的这些抗体进行染色来生成数据 目前在HuBMAP中使用的技术（CODEX和Cell DIVE），依次使用 切片皮肤样本。我们将使用现有的算法进行2D细胞分类和3D体积 在这些连续切片中重建血管和淋巴细胞类型。这些数据将 被HIVE和更广泛的HuBMAP社区用作构建血管图的资源 和螺旋桨船。与ZIPCODE的工作一起，我们的项目将有助于指导工作， 穿过HuBMAP以三角测量最近的动脉、静脉和毛细淋巴管之间的距离 以及与最近的免疫细胞和其他细胞类型的关系。我们将与邮编 团队开发标记集、最佳实践和指导方针，以实现有效的对齐， 在HuBMAP的组织映射中心（TMC）和活动中采用。为了实现这一点， 我们将作为一个合作团队，与解剖结构，细胞类型， 加生物标志物（ASCT+B）表、器官定位抗体组（OMAP）、数据分析 HuBMAP Integration，Visualization & Engagement（HIVE）合作实验室。 我们设想，内皮细胞和血管的这种颗粒状映射将有助于整合 空间组织轮廓分析中的细胞邮政编码，即，将细胞功能连接到三角形 最近的动脉，静脉和毛细淋巴管之间的距离，并提供新的空间数据 邻近小区的位置和功能。