Core--Genomics

核心--基因组学

• 批准号: 6665729
• 负责人: WALTER T KLIMECKI
• 金额: $ 24.79万
• 依托单位: UNIVERSITY OF ARIZONA
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2003-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6665729
• 关键词: biomedical facility; functional /structural genomics

(Applicant's Abstract) Two factors make the Genomics Core (GC) a necessity in this SCOR proposal. First the GC avoids the potential wasted resources resulting from individual component projects assembling a genotyping, sequencing and data warehousing infrastructure. The molecular biological techniques used in DNA sequencing and in DNA genotyping are straightforward, however, organizing their implementation on a large scale requires the integration of molecular biology, production engineering "assembly line" design, and quality control process monitoring. Overlaid upon this is the requirement for efficient trafficking of the data, including sample tracking, software scripted interfaces between technicians and analytical instruments, between different analytical instruments, and between analytical instruments and databases. Finally the data must be accessible. This requires rational organization into database structures which can be queried with maximal flexibility. It is unnecessarily redundant and practically impossible for each Principle Investigator to design and build these elements into a coherent system. Second the Genomics Core is the most efficient way to deliver the best technical methodology to each project. The technology underlying DNA sequencing, DNA genotyping and genetic data management is in an extremely dynamic phase of development. In addition to providing a centralized technical service with genetic data as the work product, a goal of the Genomics Core is to enable each SCOR component project, at the conclusion of the funding period, to continue pursuing its research objectives using state of the art methods. Thus the Genomics Core mitigates the potential redundancy in both technical execution and in evaluating and assimilation emerging technologies into the component projects. Dr. Walt Klimecki, the Core Leader of the GC is ideally suited to direct this key SCOR component. He is currently directing high throughput genetic analysis at the University of Arizona Respiratory Sciences Center, a position he moved to after directing product development in polymorphism analysis at Motorola BioChip Systems, a biotechnology "start-up" within Motorola Incorporated. The Genomics Core will accomplish the first objective by providing a central facility with 1) All necessary equipment, 2) Existing, working, standard operating procedures (SOPs), 3) Skilled technical personnel with experience executing all necessary methods, and 4) The necessary computing infrastructure. Dr. Klimecki will interact extensively with each component project to develop an experimental plan. Each component project will provide technical personnel. The mission of the GC is to train the component projects' personnel in the execution of the experimental plan at the Core facility. Dr. Klimecki and the GC staff will monitor the progress of each project, including supervising quality control measures ("blinded" samples introduced into the sample chain). Emerging genetic analysis technologies will be continually evaluated for potential integration into component projects. The GC will supervise data management and work with project investigators to enable the data to be accessed and analyzed in the most efficient form for each project. The GC will accomplish the second objective by continually evaluating emerging technology in genetic analysis and data management. This includes evaluating scientific literature, attending national and international technology-focused meetings (for which we are requesting funding), and through internal technology development (an ongoing effort for which we are not requesting funding within this SCOR).

（申请人的摘要）两个因素使得基因组学核心（GC）在基因组学研究中是必需的。 这份SCOR提案首先，GC避免了潜在的资源浪费 由组装基因分型的各个组件项目产生， 排序和数据仓库基础设施。的分子生物学 用于DNA测序和DNA基因分型的技术是简单的， 然而，要大规模地组织实施， 整合分子生物学、生产工程的“流水线” 设计和质量控制过程监控。在此之上的是 有效传输数据的要求，包括样本跟踪， 技术人员和分析仪器之间的软件脚本界面， 在不同的分析仪器之间，以及在分析仪器之间， 和数据库。最后，数据必须可访问。这需要理性 组织成数据库结构，可以查询最大 灵活性.这是不必要的冗余，实际上是不可能的， 首席研究员设计并将这些要素构建成一个连贯的 系统第二，基因组学核心是提供最好的 每个项目的技术方法。DNA背后的技术 测序、DNA基因分型和遗传数据管理是一个极其重要的领域。 动态发展阶段。除了提供集中的技术支持， 以基因数据为工作产品的服务，基因组学核心的目标是 在资助结束时， 在此期间，继续利用最先进的技术追求其研究目标 方法.因此，基因组学核心减轻了两者的潜在冗余 技术执行以及评估和吸收新兴技术 到组件项目中。沃尔特·克利梅茨基博士，GC的核心领导人， 非常适合指导SCOR的关键部分。他目前正在指导 亚利桑那大学呼吸系统高通量遗传分析 科学中心，这是他在2004年指导产品开发后搬到的一个职位。 摩托罗拉生物芯片系统公司（一家生物技术“初创公司”）的多态性分析 在摩托罗拉公司。基因组学核心将完成第一个 目标是提供一个中心设施，1）所有必要的设备，2） 现有的、正在运行的标准操作程序（SOP），3）熟练的技术人员 具有执行所有必要方法经验的人员，以及4） 必要的计算机基础设施。克利梅茨基博士将与 与每个组成项目一起制定实验计划。每个组件 项目将提供技术人员。GC的使命是训练 各组成项目的人员在执行实验计划时， 核心设施。Klimecki博士和GC工作人员将监测 每个项目，包括监督质量控制措施（“盲法”） 引入到样品链中的样品）。新兴遗传分析 将不断评估技术，以确定是否有可能集成到 组成项目。总干事将监督数据管理，并与 项目调查员，以使数据能够访问和分析， 为每个项目提供最有效的形式。GC将完成第二个 通过不断评估基因分析中的新兴技术， 和数据管理。这包括评估科学文献， 参加以技术为重点的国家和国际会议（为此， 正在申请资金），并通过内部技术开发（ 我们不要求在本SCOR内提供资金的持续努力）。