High-resolution volumetric imaging of metabolic activity in tissues and its application to tumor metabolism

组织代谢活动的高分辨率体积成像及其在肿瘤代谢中的应用

• 批准号: 10117249
• 负责人: Wei Min
• 金额: $ 38.87万
• 依托单位: COLUMBIA UNIV NEW YORK MORNINGSIDE
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10117249
• 关键词: 3-Dimensional; Address; Aging; Animals; Beds; Biological Process; Cells; Characteristics; Chemicals; Cluster Analysis; Colonic Neoplasms; Computer Analysis; Coupled; Data; Detection; Deuterium Oxide; Development; Disease; Disease Progression; Exhibits; Fluorescence; Fluorescence Microscopy; Fluorescent Probes; Generations; Genetic; Glioblastoma; Goals; Health; Heterogeneity; Image; Imaging Techniques; In Situ; Individual; Knowledge; Label; Lasers; Life; Magnetic Resonance Imaging; Magnetic Resonance Spectroscopy; Malignant Neoplasms; Maps; Mass Spectrum Analysis; Metabolic; Metabolism; Methods; Microscope; Microscopy; Molecular; Monitor; Mus; Nature; Neurodegenerative Disorders; Optics; Organ; Penetration; Physiology; Positron-Emission Tomography; Protocols documentation; Recipe; Resolution; Sampling; Specificity; Surface; Tail; Techniques; Technology; Testing; Thick; Time; Tissues; Treatment Protocols; Tumor Tissue; Warburg Effect; animal tissue; cancer imaging; cancer therapy; cell type; design; imaging modality; in vivo; instrumentation; interdisciplinary approach; macromolecule; metabolic imaging; millimeter; next generation; novel; screening; technology development; treatment strategy; tumor; tumor heterogeneity; tumor metabolism; tumor xenograft; two-photon; vibration

Project Summary Genetics and metabolism are two defining characteristics of life. Understanding metabolism in animals is critical to unraveling the mechanistic basis of many biological processes in health and diseases, such as development, aging and cancer. For normal physiology, it is the synthesis, transformation and degradation of biomolecules (i.e., metabolic activity) that carry out the genetic blueprint of animals. For diseases, metabolic reprogramming is a hallmark for cancer (such as the Warburg effect). However, popular imaging techniques such as magnetic resonance spectroscopy, positron emission tomography, imaging mass spectroscopy and fluorescence microscopy all exhibit inherent limitations towards noninvasive high-resolution metabolic imaging. Therefore, there is no current metabolic imaging technique that can offer the desired combination of in situ probing, single-cell resolution, and volumetric imaging of three-dimensional (3D) tissues. Such technology would contribute to mechanistic understanding of normal physiology and disease progression such as tumor. The goal of this project is to develop a novel optical technology for in situ high-resolution volumetric imaging of metabolic activity in animal tissues, capturing metabolic status of every cell throughout 3D tissues. We have laid out a multi-disciplinary approach including exploration of in vivo labeling probe, novel sample treatment protocol, new microscope instrumentation construction, and multivariate computational analysis. Aim 1 is about developing heavy water (D2O) as a universal probe to be coupled with the emerging stimulated Raman scattering (SRS) microscopy, to monitor metabolic activities of tissues in a multiplex manner. Our preliminary data have demonstrated the feasibility. Advanced computational analysis and hyperspectral SRS instrumentation will be developed to achieve comprehensive metabolic profiling. Aim 2 aims to establish a volumetric imaging method to generate 3D metabolic activity maps deep into tissues. We propose to develop Raman-tailored clearing recipe that will open up volumetric SRS imaging of thick tissues and whole organs. Our preliminary data have achieved more than 10 times SRS imaging depth extension than previously possible. Aim 3 will integrate and tailor the technical development from Aim 1 and Aim 2 for imaging metabolic heterogeneity of tumor tissue. We propose to construct correlative fluorescence and SRS microscope and employ multivariate computational analysis. These development will be integrated to obtain cell-type-specific metabolic activity profiling (including different types of newly-synthesized molecules) within 3D tumor tissues, facilitating understanding of the causes, progression and refined treatment strategies of cancer. 1

项目摘要 遗传和新陈代谢是生命的两个决定性特征。了解动物的新陈代谢是 对于解开健康和疾病中许多生物过程的机制基础至关重要，例如 发育、衰老和癌症。对于正常的生理学来说，它是合成、转化和降解的 执行动物基因蓝图的生物分子(即代谢活动)。对于疾病，代谢 重新编程是癌症的一个标志(如华宝效应)。然而，流行的成像技术 例如磁共振光谱、正电子发射断层扫描、成像质谱学和 荧光显微镜在非侵入性高分辨率代谢成像方面都表现出固有的局限性。 因此，目前还没有一种代谢成像技术可以提供所需的In组合 三维(3D)组织的原位探测、单细胞分辨率和体积成像。是这样的 技术将有助于从机制上理解正常的生理和疾病进展 作为肿瘤。本项目的目标是开发一种用于原位高分辨率体积测量的新的光学技术 对动物组织中的代谢活动进行成像，捕捉3D组织中每个细胞的代谢状态。 我们采用了多学科的方法，包括体内标记探针的探索，新颖的样品 治疗方案、新的显微镜仪器结构和多变量计算分析。 目标1是关于发展重水(D2O)作为一种通用探测器，与新兴的受刺激的 拉曼散射(SRS)显微镜，以多路传输的方式监测组织的代谢活动。我们的 初步数据证明了该方法的可行性。高级计算分析和高光谱SRS 将开发仪器以实现全面的新陈代谢图谱。目标2旨在建立一个 体积成像方法，以生成深入组织的3D代谢活动图。我们建议开发 拉曼定制的清除配方，将开启厚组织和整个器官的体积SRS成像。 我们的初步数据已经实现了SRS成像深度扩展的10倍以上。 目标3将整合和定制目标1和目标2的代谢成像技术开发 肿瘤组织的异质性。我们建议建立相关的荧光和受激拉曼散射显微镜 采用多变量计算分析。这些发展将被整合，以获得特定细胞类型 3D肿瘤组织内的代谢活性分布(包括不同类型的新合成分子)， 促进了解癌症的原因、进展和改进的治疗策略。 1