Core C Cell and Tissue Imaging and Analysis

摘要 这一细胞和组织成像和分析核心寻求为现场提供集中和集成的资源 皮肤干细胞的细胞和抗原生物构筑的蛋白质组学分析和成像 年龄和创伤愈合中与年龄相关的缺陷。它还提供了翻译 实验小鼠皮肤与人皮肤配对的对比检验验证 由皮肤病专家提供，以确保相互关联。因此，核心结合了高技能的专业人员 皮肤病理学分析和允许顺序评估的尖端多路成像技术 关于细胞和分子在愈合伤口中的行为，以及这种行为如何在 与年龄相关的皮肤干细胞枯竭/功能障碍。特定目标1为PPG调查人员提供常规 福尔马林固定、石蜡包埋(FFPE)生物标本的组织学，3-4个表位的多重标记，图像 量化，以及根据需要采用各种可选的专门技术。这一目标对于 在不同的实验背景下评估伤口愈合反应的细胞成分和效率 项目1-3中提出的模型，并以允许跨项目进行比较的方式。它还提供了密钥 将与生物信息学核心(核心B)对接的数据，并协助制定战略，以增强 通过了解针对缺陷性疾病的靶向治疗方法的潜在效用来实现伤口愈合 干细胞驱动的修复途径。重要的是，它提供标准化和统一的专业知识和经验，而不是 可通过同时使用多个机构病理学资源来获得。《特定目标2》走多元化路线 标记到高分辨率、高度复杂的成像水平，由此细胞和蛋白质组的复杂性可以 第一次在视觉上解开20个或更多同时可识别的抗体探针的水平。这 方法利用了涉及NanoZomer扫描技术和QuPath数据分析的内部技术 为了提供由细胞原位表达的多个表位的最新定量和空间分析 以及它们与皮肤老化和干细胞参与伤口愈合过程有关的微环境。它 通过与Peter Sorger博士的协作互动和相关CyCIF标记的应用而得到加强 技术，以及用于数字空间蛋白质组和基因组图谱的GeoMx技术的可用性。 AIM 3提供了一个广泛的人类皮肤生物库，其中通过对小鼠模型的核心分析产生的数据 可以很容易地与相关的年龄匹配和共同发病率控制的伤口愈合进行比较和对比 在人类被膜中的反应，以及获取和预期积累丰富的相关 用于PPG分析的生物标记物。因此，核心C提供了一个基本的、集中的、高度集成的分析 组件到PPG，提供对皮肤中原位发生的实际细胞和分子事件的洞察 潜在的关键微环境关系保持不变，因此代表了 评估实验结果、临床相关性和治疗效果。

SUMMARY This Cell and Tissue Imaging and Analysis Core seeks provides a centralized and integrated resource for in situ proteomic analysis and imaging of the cellular and antigenic bioarchitecture of skin stem cells as a function of chronologic age and in the context of age-related deficiency in wound healing. It also provides translational validation through comparative examination of experimental murine and human skin selected as matched pairs by expert dermatopathologists to ensure cross-relevance. The Core thus combines highly skilled professional dermatopathology analysis and cutting-edge multiplex imaging technologies that permit sequential assessment of how cells and molecules behave in healing wounds, and how this behavior is compromised in the setting of age-related skin stem cell depletion/dysfunction. Specific Aim 1 provides PPG investigators with conventional histology of formalin-fixed, paraffin-embedded (FFPE) biospecimens, multiplex labeling for 3-4 epitopes, image quantification, and a variety of optional specialized technologies on an as-needed basis. This aim is essential to assess the cellular constituents and efficiency of wound healing responses in the context of various experimental models proposed in Projects 1-3 and in a manner that permits comparisons across projects. It also provides key data that will interface with the Bioinformatics Core (Core B), and assists in developing strategies to enhance wound healing through understanding potential utility of targeted therapeutic approaches directed at defective stem cell-driven repair pathways. Importantly, it offers standardized and uniform expertise and experience not available through simultaneous use of multiple institutional pathology resources. Specific Aim 2 takes multiplex labeling to the level of high-resolution, highly-plexed imaging, whereby cellular and proteomic intricacies can for the first time be visually unraveled at the level of 20 or more simultaneously identifiable antibody probes. This approach leverages in-house technology involving NanoZoomer scanning technology and QuPath data analysis in order to provide state-of-the art quantitative and spatial analysis of multiple epitopes expressed in situ by cells and their microenvironments relevant to skin aging and stem cell involvement in the wound healing process. It is fortified by collaborative interactions with Dr. Peter Sorger and application of related CyCIF labeling technology, as well as the availability of GeoMx technology for digital spatial proteomic and genomic profiling. Aim 3 provides an extensive human skin biobank whereby data generated by Core analyses of murine models may be readily compared and contrasted with relevant age-matched and co-morbidity-controlled wound healing responses in the human integument, as well as accessing and prospectively accumulating a wealth of relevant biospecimens for PPG analyses. Core C thus provides an essential, centralized, and highly integrated analytical component to the PPG, offering insight into actual cellular and molecular events that occur in situ in skin where potentially critical microenvironmental relationships remain intact, thus representing a key feedback loop in assessing experimental results, clinical relevance, and therapeutic efficacy.