Organ Specific Project

项目摘要 人类生物分子图谱计划(HuBMAP)的总体目标，特别是组织图谱 中心的目标是为未患病的人体器官生成高分辨率的3D生物分子图谱。整体而言 该胰腺器官特异性项目(OSP)的目标是鉴定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和 分布，并生成多尺度、高分辨率、三维多组学功能的分子图谱 人类胰腺的区域。 该OSP集成了从胰腺生物学、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)，高级多组学质量 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 重建胰腺区域的分子图谱(德克萨斯高级计算中心)，例如胰岛。 具体地说，我们将：(1)通过合作从捐赠者那里鉴定和收集完整的无病胰腺 与器官采购组织(OPO)和研究中介机构(RI)合作，并制定 及时转介和收集捐赠者的基础设施，以及强大的、基于网络的标本库存和 访问代表性样本派生元数据(即整个幻灯片图像)目录的请求系统 或细胞学)质量和成分；(2)提供保存的、包埋的和切片的胰腺组织 使用已在2D中仔细绘制胰腺图的胰腺处理过程；(3)执行多尺度 以及胰腺和功能引导组织切片的多组体成像或空间分辨率表征 以及(4)创建全面的胰腺三维生物分子图谱，该图谱 通过数据映射整个胰腺功能区的蛋白质、代谢物和脂肪的表达 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.