Core E: LOGISTICS

这笔赠款的主要主题是协调实验方法、成果衡量和 在模型系统和人类研究中进行数据分析，目标是开发系统的广泛视角 关于非类固醇抗炎药(NSAIDs)反应变异的来源。这依赖于一个 计划核心之间人员重叠的连锁组织结构，常见 跨物种的实验设计、标准化、无偏倚和有针对性的样本分析 技术核心以及综合数据管理和分析。因此，大量的样品和 信息将需要在实验、技术和数据管理和分析之间无缝流动 核心。后勤核心的目的是(一)最大限度地提高核心之间的这种互动的效率，(二) 协调实验和技术核心之间的样品分析能力的需求和供应，(3) 确保跨岩心产生、收集、处理和存储样品的质量，以及(4)跟踪、评估 并向预先指定的里程碑传达核心的具体进展和整个计划的进展。这将涉及到 建立LIMS，管理实验室之间的样品流动，生物库，执行标准 操作程序(SOP)、实验室人员培训、基于以下内容的活动实时监控 样本流和数据生成，以及进度评价数据的收集。事实上，最后这一点，一个正在进行的 并及时评估其所有组件的性能，这将是至关重要的，因为 PENTACON计划。岩心之间样本流动的广泛性质，科学数据收集， 数据共享和协作工作自然有助于纳入常规评估数据 这其中很大一部分将作为后勤核心正常运作的无缝部分进行。

The major theme of this grant is the harmonization of experimental approaches, outcome measurements and data analysis across studies in model systems and humans with the goal of developing a systems wide view on sources of variation in the response to nonsteroidal anti-inflammatory drugs (NSAIDs). This relies on an interlocking organizational structure with overlap in personnel between the program cores, common experimental designs across species, standardized unbiased and targeted sample analyses by dedicated technical cores and integrated data management and analysis. Consequently, large quantities of samples and information will need to flow seamlessly between experimental, technical and data management and analysis cores. The Logistics Core is designed to (i) maximize the efficiency of this interaction between cores, (ii) coordinate demand and supply of sample analysis capacity between experimental and technical cores, (iii) assure the quality of sample generation, collection, handling and storage across cores, and (iv) track, evaluate and communicate core specific and program wide progress towards prespecified milestones. This will involve establishing a LIMS, managing the sample flow between laboratories, biobanking, implementing standard operating procedures (SOPs), training of laboratory personnel, ¿real-time¿ monitoring of activities based on sample flow and data generation, and collection of progress evaluation data. Indeed, this last point, an ongoing and timely approach to evaluating the performance of all itscomponents, will be vital given the complexity of the PENTACON program. The extensive nature of the sample flow between cores, scientific data collection, data sharing, and collaboration efforts naturally lend themselves to the inclusion of routine evaluation data collection, and much of this will occur as seamless part of the normal operation of the Logistics Core.