Core E: LOGISTICS

这笔赠款的主题是实验方法、结果测量和 跨模型系统和人类研究的数据分析，目标是开发系统范围的视图 关于非甾体抗炎药（NSAID）反应变异的来源。这依赖于一个 相互关联的组织结构，方案核心之间人员重叠，共同 跨物种的实验设计，由专门的标准化无偏见和有针对性的样本分析 技术核心和综合数据管理与分析。因此，需要大量的样本和 信息需要在实验、技术以及数据管理和分析之间无缝流动 核心。物流核心旨在 (i) 最大限度地提高核心之间交互的效率，(ii) 协调实验核心和技术核心之间样品分析能力的需求和供应，(iii) 确保跨核心的样本生成、收集、处理和存储的质量，以及 (iv) 跟踪、评估 并传达针对预定里程碑的核心具体和计划范围内的进展。这将涉及到 建立 LIMS、管理实验室之间的样品流、生物样本库、实施标准 操作程序（SOP）、实验室人员培训、基于“实时”的活动监控 样本流程和数据生成，以及进度评估数据的收集。事实上，最后一点是一个持续的 考虑到其复杂性，及时评估其所有组件的性能将至关重要 PENTACON 计划。岩心之间样品流动的广泛性、科学数据收集、 数据共享和协作努力自然有助于纳入常规评估数据 收集，其中大部分将作为物流核心正常运行的无缝部分进行。

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.