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.

项目摘要/摘要 组织脉管系统和淋巴管是每个器官的重要组成部分，并运输血液 并在体内淋巴，执行基本功能，例如血管舒张调节和 免疫细胞运输。该补充提议的目的是与Hubmap合作 Zipcode项目开发针对血管和淋巴细胞特异的抗体面板 和结构。我们将为Hubmap社区提供更多资源 围绕Hubmap组织映射中心的全面内皮和淋巴细胞图。 我们将使用两种多重成像来通过染色皮肤中的这些抗体来生成数据 当前在Hubmap（法典和细胞潜水）中使用的技术，使用顺序使用 切片的皮肤样品。我们将使用现有的算法进行2D单元格分类和3D卷 这些顺序切片中血管和淋巴细胞类型的重建。这些数据将是 用作蜂巢和更广泛的Hubmap社区的资源，以构建血管地图 和淋巴管。与Zipcode的工作一起，我们的项目将帮助指导努力 跨越HUBMAP到最接近动脉，静脉和淋巴毛细管之间的三角距离 以及与最近的免疫细胞和其他细胞类型的关系。我们将使用ZipCode 制定标记集，最佳实践和指南的团队，以实现有效的一致性和 在整个组织映射中心（TMC）和Hubmap的活动中采用。为此， 我们将作为一个协作团队合作，以与解剖结构，细胞类型， 加上生物标志物（ASCT+B）表，器官映射抗体面板（OMAP），数据分析 工作组以及Hubmap集成，可视化与参与度（HIVE）协作。 我们设想，内皮细胞和淋巴管的颗粒图将有助于合并 空间组织分析中的细胞拉链代码，即将细胞函数连接到三角形 最接近的动脉，静脉和淋巴毛细管之间的距离，并提供有关空间的新数据 相邻细胞的位置和功能。