Pancreas Organ Specific Project

项目摘要--胰腺器官特定项目。全三维生物分子 组织内的分析需要协调来自许多分析技术的数据。我们将开发一种 多通道策略，直接从人类胰腺获取空间特定的“组学”信息。这项工作将 利用质谱学研究中心的独特仪器能力和专业知识 (Msrc)，其中斯普拉金斯、卡普里奥利、谢伊、古铁雷斯和范德普拉斯教授是关键人员。建房 在开发人体肾脏组织图谱的基础上，我们将把超高速、高空间 分辨率(&lt；10μm)MALDI时间高质量分辨率(&gt；40,000分辨率，&lt；2ppm质量的TOF IMS 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的高通量能力将是产生高吞吐量的关键 来自统计相关数量的正常胰腺样本的空间分辨率三维分子图像。MALDI IMS将提供将离子图像链接到基于正交LC的离子图像所需的特异性和质量准确性 用于分子鉴定的碎裂实验。将使用空间特定的方式执行分段 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。要最大化从成像中收集的信息 实验并为数据驱动的图像融合和数据中概述的三维重建奠定了基础 分析核心研究策略，我们还将开发收集各种基于显微镜的图像的方法 模式(如自体荧光和染色显微镜)和胰腺特异性，高度多元化 使用CODEX的免疫荧光。 通过使用我们的多通道管道，我们建议绘制胰腺细胞的空间关系图 健康组织中的类型跨越了大量的人口统计学。目标1：创建胰腺特异的 生物菌种收集和管理计划。目标2：建立用于标准化的分析前管道 样品制备，确定组织正常度，并提供质量控制指标。目标3：开发一种 胰腺特异性三维分子成像的多模式表征流水线。目标4：扩展和 标准化胰腺特异的3-D分子成像。为了实现这些目标，我们召集了一个高度 互动和成熟的研究团队，由内分泌学方面的互补专业知识组成， 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.