Pancreas Organ Specific Project

项目总结-胰腺器官特定项目。全面的三维生物分子 组织内的分析需要来自许多分析技术的数据的协调。我们将开发一个 多模式策略直接从人胰腺获得空间特异性“组学”信息。这项工作将 利用质谱研究中心独特的仪器能力和专业知识 （MSRC），其中教授斯普拉金斯，卡普里奥利，谢伊，古铁雷斯和货车德普拉斯是关键人员。建筑 从以前开发人类肾脏组织图谱的工作中，我们将整合超高速，高空间 分辨率（<10μm）MALDI timsTOF IMS具有高质量分辨率（> 40，000分辨率，<2 ppm质量） 精确度）用于人类胰腺的分子成像，具有前所未有的空间保真度和 分子特异性MALDI timsTOF IMS的高通量能力对于生成高通量的 来自统计学相关数量的正常胰腺样本的空间分辨率3-D分子图像。MALDI IMS将提供将离子图像与基于正交LC的 用于分子鉴定的片段化实验。将使用空间特异性 以与IMS兼容的方式从组织中产生LC-MS/MS数据的表面采样方法 并且能够整合到HuBMAP组织图谱中。为了最大化从成像中收集到的信息 实验和奠定基础的数据驱动的图像融合和三维重建概述的数据 分析核心研究策略，我们还将开发各种基于显微镜的图像采集方法 模式（例如自体荧光和染色显微镜）和胰腺特异性，高度多重 使用CODEX进行免疫荧光。 通过使用我们的多模式管道，我们建议映射胰腺细胞的空间关系， 健康组织中的不同类型。目的1：建立胰腺特异性 生物标本采集和管理计划。目标2：建立标准化的分析前管道 样品制备、确定组织正常性和提供质量控制指标。目标3：制定一项 用于胰腺特异性3-D分子成像的多模式表征管道。目标4：扩大规模， 标准化胰腺特异性三维分子成像。为了实现这些目标，我们组织了一个高度 由内分泌学互补专业知识组成的互动和既定的研究者团队， 分析化学和数据科学。

PROJECT SUMMARY – Pancreas Organ Specific Project. Comprehensive 3-dimensional biomolecular analysis within tissues requires the coordination of data from many analytical technologies. We will develop a multimodal strategy to obtain spatially specific ‘omics’ information directly from human pancreas. This work will leverage the unique instrumentation capabilities and expertise of the Mass Spectrometry Research Center (MSRC) in which Professors Spraggins, Caprioli, Schey, Gutierrez and Van de Plas are key personnel. Building from previous work developing atlases of human kidney tissue, we will integrate ultra-high speed, high spatial resolution (<10μm) MALDI timsTOF IMS with high mass resolution (>40,000 Resolving Power, <2 ppm mass accuracy) for molecular imaging of human pancreata with an unprecedented combination of spatial fidelity and molecular specificity. The high-throughput capabilities of MALDI timsTOF IMS will be critical for generating high- spatial resolution 3-D molecular images from statistically relevant numbers of normal pancreas samples. MALDI IMS will provide the specificity and mass accuracy necessary to link ion images to orthogonal LC-based fragmentation experiments for molecular identification. Fragmentation will be performed using spatially specific surface sampling approaches to produce LC-MS/MS data from tissues in a manner that is compatible with IMS and capable of being integrated into HuBMAP tissue atlases. To maximize information gleaned from imaging experiments and lay the groundwork for data-driven image fusion and 3-D reconstruction outlined in the Data Analysis Core Research Strategy, we will also develop methods for collecting various microscopy-based image modalities (e.g. autofluorescence and stained microscopy) and pancreas specific, highly multiplexed immunofluorescence using CODEX. Through the use of our multimodal pipeline, we propose to map spatial relationships of pancreas cell types within healthy tissue across a multitude of demographics. Aim 1: To create a pancreas-specific biospecimen collection and management plan. Aim 2: To establish a pre-analytical pipeline for standardizing sample preparation, determining tissue normalcy, and providing quality control metrics. Aim 3: To develop a multimodal characterization pipeline for pancreas-specific 3-D molecular imaging. Aim 4: To scale and standardize pancreas-specific 3-D molecular imaging. To accomplish these aims, we have assembled a highly interactive and established team of investigators consisting of complementary expertise in endocrinology, analytical chemistry, and data science.