TISSUE MICROARRAY

组织微阵列（TMA）核心设施共享资源提供了许多技术、服务和科学咨询，以支持西德尼·基梅尔综合癌症中心（SKCCC）成员和其他约翰霍普金斯大学和外部研究人员的研究。除了tma相关服务外，该实验室最近还增加了常规组织学服务以及免疫组织化学（IHC）和多标签免疫荧光（IF）染色的咨询和执行。这些服务和在这些领域具有重要专业知识的关键人员的加入极大地扩展了该设施的能力，并显着提高了SKCCC和其他研究人员进行急需的组织租赁生物标志物研究的能力。TMA实验室已经为49名研究人员构建了654个TMA，其中包含来自10,362例患者标本的93,706个组织芯，其中包括前列腺、乳腺、胰腺、胆囊、子宫颈、卵巢、脑、肝脏、膀胱、唾液腺、食道、头颈、甲状腺和各种细胞系和异种移植的肿瘤。自上一个资助期开始以来，用户已经发表了80多篇涉及这一资源的手稿。仪器和专业知识可用于自动捕获标准组织学/免疫组化玻片和TMA玻片的高分辨率数字图像，Core大大提高了其定量图像分析的能力。用户可以访问一组基于web的开源软件工具和后端数据库（TMAJ），这些工具和后端数据库的开发是为了促进涉及TMA技术的所有方面的研究，从TMA设计、数据输入、图像诊断、图像分析和在互联网上发布。该共享资源的具体目标是通过以下方式支持和加速转化性癌症研究：1)根据需要，继续指导SKCCC成员和其他成员使用人类手术和尸检标本、临床试验的人类标本、异种移植、动物组织标本和细胞系生产和生产tma；2)为常规组织学和新型癌症相关生物标志物的IHC/IF提供科学咨询和服务；3)继续评估和更新新的TMA构建和幻灯片扫描和图像分析平台；4)加强核心信息技术平台，提高信息共享的易用性。Lay：我们的共享资源提供了技术和专业知识，以促进人类生物标本中基于组织的生物标志物转化研究的各个方面。这使得SKCCC研究人员能够更快地开发生物标志物，并帮助将这些生物标志物转化为工具，帮助医生更好地照顾癌症患者。

The Tissue Microarray (TMA) Core facility shared resource provides a number of technologies, services and scientific consultation to support the research of the Sidney Kimmel Comprehensive Cancer Center (SKCCC) members and other Johns Hopkins University and outside investigators. In addition to TMA-related services, the laboratory has recently added routine histology services as well as consultations in and performance of immunohistochemistry (IHC) and multi-label immunofluorescence (IF) staining. The addition of these services and key personnel with vital expertise in these areas has greatly expanded the capabilities of this facility and markedly enhances the ability of SKCCC and other researchers to perform critically needed tissue leased biomarker studies. The TMA Lab has constructed 654 TMAs for 49 investigators containing 93,706 tissue Cores from 10,362 patient specimens containing tumors from the prostate, breast, pancreas, gall bladder, cervix, ovary, brain, liver, urinary bladder, salivary glands, esophagus, head and neck, thyroid and various cell lines and xenografts. Users have published more than 80 manuscripts involving this resource since the last funding period began. Instrumentation and expertise is available to automatically capture high resolution digital images of both standard histology/IHC based slides and TMA slides and the Core has greatly improved its capabilities in quantitative image analysis. Users have access to a set of Open Source web based software tools and backend database (TMAJ) that were developed to facilitate all facets of research involving TMA technology from TMA design, data entry, image diagnosis, image analysis, and publishing on the Internet. The Specific Aims of this Shared Resource are to support and speed translational cancer research by : 1) continuing to guide production of and produce TMAs for SKCCC members and others using human surgical and autopsy specimens, human specimens from clinical trials, xenografts, animal tissue specimens and cell lines as needed; 2) providing scientific consultations and services for routine histology and IHC/IF for novel cancer-associated biomarkers; 3) t continuing to evaluate and update new TMA construction and slide scanning and image analyzis platforms; 4) enhancing the Core's information technology platform to improve ease of use sharing of information. Lay: Our shared resource provides technology and expertise to facilitate all aspects of tissue based biomarker translational research on human biospecimens. This allows SKCCC investigators to more rapidly develop biomarkers and to help translate these biomarkers into tools that will help doctors better care for cancer patients.