Organ Specific Project

项目摘要 人类生物分子图谱计划（HuBMAP），特别是组织图谱的总体目标 中心的目标是为非患病的人体器官生成高分辨率的3D生物分子图谱。整体 本胰腺器官特异性项目（OSP）的目的是识别和收集完整的无病胰腺 来自不同性别和种族的捐赠者，以开发一个强大的组织处理系统， 分布，并生成多尺度，高分辨率，3D多组学分子图谱的功能 人类胰腺的区域。 该OSP整合了独特的专业知识，包括胰腺生物学，糖尿病，器官采购，组织 处理，深层组织荧光成像分析（佛罗里达大学），先进的多组学质量 基于光谱的组织映射（PNNL），以及复杂的高通量生物信息学和3D 胰腺区域（如胰岛）的分子图谱重建（Texas Advanced Computing Center）。 具体而言，我们将：（1）通过合作从供体中识别和收集无病胰腺 与器官采购组织（OPO）和研究中介机构（RI）合作， 及时转诊和供体采集的基础设施，以及强大的基于网络的标本库存， 访问代表性样本衍生元数据（即，整个载玻片图像）的目录的请求系统 或细胞术）的质量和组成;（2）提供保存、包埋和切片的胰腺组织 使用已经在2D中仔细映射胰腺的胰腺处理过程;（3）执行多尺度 以及胰腺和功能引导组织切片的多组成像或空间分辨表征 通过表征管道;以及（4）创建胰腺的全面的3-D生物分子图谱， 通过数据绘制了整个胰腺功能区域的蛋白质、代谢物和脂质表达图。 分析核心。

PROJECT ABSTRACT The overarching goal of the Human BioMolecular Atlas Program (HuBMAP) and specifically of Tissue Mapping Centers is to generate high resolution 3D biomolecular maps for non-diseased human organs. The overall objective of this pancreas organ specific project (OSP) is to identify and collect whole disease-free pancreas from donors across different sexes and ethnicities, to develop a robust system for tissue processing and distribution, and to generate multi-scale, high resolution, 3D multi-omics molecular atlases of functional regions of human pancreas. This OSP integrates unique expertise ranging from pancreas biology, diabetes, organ procurement, tissue processing, deep-tissue fluorescence imaging analysis (University of Florida), advanced multi-omics mass spectrometry-based tissue mapping (PNNL), and sophisticated high-throughput bioinformatics and 3D reconstruction of molecular maps (Texas Advanced Computing Center) of regions of pancreas, such as islets. Specifically, we will: (1) Identify and collect whole disease-free pancreas from donors through collaboration with the Organ Procurement Organizations (OPO) and Research Intermediaries (RI), and develop infrastructure for timely referral and donor collection, as well as a robust, web-based, specimen inventory and request system that accesses a catalogue of representative sample derivative meta-data (i.e. whole slide image or cytometry) of quality and composition; (2) Provide preserved, embedded, and sectioned pancreas tissue using pancreatic processing processes that have carefully mapped the pancreas in 2D; (3) Perform multi-scale and multi-omic imaging or spatially resolved characterization of pancreas and function-guided tissue sections through the characterization pipeline; and (4) Create comprehensive 3-D biomolecular atlas of pancreas that maps protein, metabolite, and lipid expression throughout functional regions of the pancreas through the Data Analysis Core.