Core 1: Pathology core

核心1：病理学核心

• 批准号: 10000842
• 负责人: Jonathan W. Said
• 金额: $ 14.26万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10000842
• 关键词: African American; Architecture; Archives; Benign; Biocompatible Materials; Biological Assay; Biological Specimen Banks; Biopsy; Cancer Center; Cells; Clinical; Collaborations; Collection; Confidentiality of Patient Information; Consent; Control Groups; DNA analysis; Data; Data Set; Databases; Diagnosis; Drug or chemical Tissue Distribution; Epithelial Cells; Family; Formalin; Freezing; Frozen Sections; Generations; Genomics; Gleason Grade for Prostate Cancer; Goals; Guidelines; Hematoxylin and Eosin Staining Method; Human; Image Analysis; Immunofluorescence Immunologic; Immunohistochemistry; Individual; Informed Consent; Infrastructure; Institution; K-Series Research Career Programs; Knowledge; Laboratories; Lasers; Light; Link; Location; Los Angeles; Machine Learning; Malignant Neoplasms; Malignant neoplasm of prostate; Medical center; Medicine; Metastatic Prostate Cancer; Microscopy; Nanotechnology; Needle biopsy procedure; Neoplasm Circulating Cells; Operative Surgical Procedures; Paraffin Embedding; Parents; Pathologic; Pathology; Patients; Performance; Plasma; Preparation; Primary Neoplasm; Problem Solving; Process; Prostate; Prostatectomy; Prostatic Intraepithelial Neoplasias; Proteins; Proteomics; Protocols documentation; RNA; Radiology Specialty; Recording of previous events; Research; Research Personnel; Resources; Robotics; Scanning; Serum; Services; Site; Slide; Specimen; Stains; Standardization; Suspensions; Techniques; Technology; Tissue Embedding; Tissue Microarray; Tissue Model; Tissue Stains; Tissues; Translational Research; Tumor Volume; Urine; Urology; Work; analysis pipeline; animal tissue; anticancer research; base; castration resistant prostate cancer; clinical database; cohort; computerized; data format; data resource; deep learning; digital; digital imaging; digital pathology; follow-up; human tissue; imaging study; improved; innovation; interest; laser capture microdissection; men; mouse model; new technology; novel; preference; professor; prostate cancer model; research study; three-dimensional visualization; tissue resource; transcriptome sequencing; tumor; virtual

Project Summary/Abstract The Pathology Core provides pathology and laboratory support for all SPORE projects including collection, prioritization, distribution and interrogation of both human prostate tissue and mouse models of prostate cancer (PCa). The Core collects and annotates diverse specimens, including fresh, frozen and formalin-fixed human tissue, biopsies including surveillance biopsies. The Core constructs tissue mircroarrays, processes whole mount and regular tissue blocks and tissue sections, and collects serum, plasma and urine for the analysis of DNA, RNA and protein. All specimens are collected at UCLA, Cedars-Sinai Medical Center (CSMC) and Greater LA VA Medical Center (GLA VA) in accordance with institutional guidelines and following established protocols with informed consent and patient confidentiality protected. Biospecimen repositories and data resources from the 3 sites are virtually integrated into a single unit. Through database infrastructure, collected bio-materials are linked to the clinical database at the parent institution and virtually integrated so that pathological, clinical, and family history data are available across institutions to maximize their potential use in translational research. Finally, the Pathology Core is responsible for prioritizing the access to all Core materials, with preference given to SPORE investigators. The Pathology Core is fully integrated with the Jonsson Cancer Center translational pathology core laboratory to avoid duplication of services and consolidate resources. Integrative services include enumeration and characterization of circulating tumor cells (CTCs) in a novel nanotechnology-based platform co-developed by the core, preparation of live epithelial cells from fresh human prostate tissue, laser-capture microdissection, digital pathology, quantitative immunohistochemistry (IHC) and immunofluorescence (IF) as well as multiplex immunohistochemistry. The core uses whole mount sections to correlate pathologic findings with imaging studies. Several specialized techniques to increase the knowledge gained from tissues are provided by the Core, such as multiplex immunohistochemical localization of proteins and RNA, laser capture microscopy, 3- dimensional visualization of cells in tissues through tissue clearing and light-sheet microscopy and computerized digital image analysis to quantify the cellular content and tissue architecture in pathology slides. In this context, the Pathology Core has the capacity to generate datasets from hematoxylin and eosin (H&E) and IHC/IF slides using whole slide digital scanning with machine learning and deep learning pipelines. The resulting data format is well suited for integration with other “OMICS” data (i.e. genomics, proteomics, etc.). The large repertoire of available services is tailored to support each individual project or career development award. The Pathology Core has heavily invested in developing and acquiring new technologies to solve problems related to the procurement and analysis of all pathological specimens.

项目摘要/摘要 病理核心为所有孢子项目提供病理和实验室支持，包括收集， 人类前列腺组织和前列腺癌的小鼠模型的优先级，分布和询问 （PCA）。核心收集和注释潜水员标本，包括新鲜，冷冻和福尔马林固定的人 组织，活检，包括监视活检。核心构造组织mirrays，处理整个安装座 以及规则的组织块和组织切片，并收集血清，血浆和尿液以分析DNA， RNA和蛋白质。所有标本均在UCLA，Cedars-Sinai医疗中心（CSMC）和更大的LA收集 VA医疗中心（GLA VA）符合机构指南，并遵循与 知情同意和患者的机密性受到保护。生物测得的存储库和数据资源3 站点实际上集成到一个单元中。通过数据库基础架构，收集的生物材料链接 到父母机构的临床数据库并实际上整合，以便病理，临床和家庭 历史数据可在机构之间获得最大化的潜在用途。最后， 病理核心负责优先考虑对所有核心材料的访问，偏爱孢子 调查人员。 病理核心与Jonsson癌症中心翻译病理学核心实验室完全集成 避免重复服务并合并资源。综合服务包括枚举和 基于新型纳米技术平台共同开发的新型纳米技术平台中循环肿瘤细胞（CTC）的表征 核心，从新鲜人类前列腺组织中制备活的上皮细胞，激光捕获显微解剖， 数字病理学，定量免疫组织化学（IHC）和免疫荧光（如果）以及多重 免疫组织化学。核心使用整个安装部分将病理发现与成像相关联 增加组织从组织中获得的知识的几种专业技术由核心提供， 例如蛋白质和RNA的多重免疫组织化学定位，激光捕获显微镜，3- 细胞清除和灯表显微镜和计算机化的细胞的尺寸可视化 数字图像分析以量化病理幻灯片中的细胞含量和组织结构。在这种情况下， 病理核心有能力从苏木精和曙红（H＆E）（H＆E）和IHC/IHC/IHC/IHC生成数据集 使用机器学习和深度学习管道使用整个幻灯片数字扫描。结果数据格式 非常适合与其他“ OMICS”数据（即基因组学，蛋白质组学等）集成。大的曲目 可用的服务是针对每个项目或职业发展奖量身定制的。病理 Core已在开发和审核新技术方面进行了大量投资，以解决与该技术有关的问题 所有病理标本的采购和分析。