Electronic Access to Mouse Tumor Data

小鼠肿瘤数据的电子获取

• 批准号: 6621441
• 负责人: Janan T. EPPIG
• 金额: $ 69.61万
• 依托单位: JACKSON LABORATORY
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-01-10 至 2005-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6621441
• 关键词: Internet; animal data; cancer information system; cancer risk; carcinogenesis; disease /disorder model; informatics; laboratory mouse; neoplasm /cancer; neoplasm /cancer genetics; quantitative trait loci

Our overall goal is to develop an informatics infrastructure to support basic cancer genetics research using the mouse as a model system of human cancer. We have developed the Mouse Tumor Biology Database (MTB; http://tumor.informatics.jax.org) as a prototype to explore ways to effectively support electronic access to mouse tumor data. We now propose to build on this resource, maturing it from a prototype database into a robust database system, expanding the depth and breadth of data coverage, enhancing the collection of tumor images, and improving search capabilities and graphical displays. We will integrate data on frequency, incidence, genetics, and pathology of neoplastic disorders, emphasizing the acquisition of data on tumors that develop characteristically in different genetically defined strains of mice (inbred, mutant, and genetically engineered). To accomplish our goal we will: migrate MTB to a robust relational database management system develop new user interfaces, query capabilities, and graphical displays continue to populate MTB with data on strain-specific patterns of tumorigenesis expand data coverage to include cancer susceptibility/severity modifier genes and QTL enhance and expand pathology-related data (text and images) develop database structures to accommodate in-vivo imaging techniques build on collaborative efforts with veterinary pathologists work with the Mouse Models of Human Cancer Consortium (MMHCC) to facilitate data sharing increase the number of links between MTB and relevant, cancer- related resources, particularly those capturing gene expression profiling that will further refine the categorization of tumor subtypes.

我们的总体目标是开发一个信息学基础设施，以支持使用小鼠作为人类癌症模型系统的基础癌症遗传学研究。 我们开发了小鼠肿瘤生物学数据库（MTB; http://tumor.informatics.jax.org）作为原型，以探索有效支持电子访问小鼠肿瘤数据的方法。 我们现在建议在此资源的基础上，将其从原型数据库成熟为强大的数据库系统，扩大数据覆盖的深度和广度，增强肿瘤图像的收集，并改进搜索功能和图形显示。 我们将整合有关肿瘤疾病的频率，发病率，遗传学和病理学的数据，强调在不同遗传定义的小鼠品系（近交系，突变体和遗传工程）中典型发展的肿瘤数据的获取。为了实现我们的目标，我们将：将MTB迁移到强大关系数据库管理系统，开发新的用户界面、查询功能和图形显示继续用肿瘤发生的菌株特异性模式的数据填充MTB，扩大数据覆盖范围以包括癌症易感性/严重性修饰基因和QTL，增强和扩大病理学相关数据（文本和图像）开发数据库结构，以适应体内成像技术，建立在与人类癌症小鼠模型联盟（MMHCC）合作的兽医病理学家合作的基础上为了促进数据共享，增加结核分枝杆菌和相关的癌症相关资源之间的链接，特别是那些捕获基因表达谱的资源，这将进一步完善肿瘤亚型的分类。