Administrative Core

项目摘要 明尼苏达组织绘图中心（MN TMC）衰老细胞（SnC）管理核心（AC）将在 由两名具有协同专业知识的PI领导：Laura Niedernhofer博士，细胞衰老专家， 我参加了许多NIH智库，导致了这个共同基金U 54 RFA，康斯坦丁博士 阿里弗里斯，UMN健康信息学研究所（IHI）主任和首席研究信息官。的 AC的主要目标是促进所有MN TMC核心的交互，以最大化TMC 为了提高生产力，并在MN TMC和其他TMC之间建立无缝接口， 组织和数据协调中心（CODCC），以及技术赠款（UG 3/UH 3）获奖者， 最大化SenNet Consortium的协同效应和生产力。审核委员会的具体职责如下 （一）协调和监督MN TMC核心的活动，以促进人类获得 组织、受试者临床数据、组织分析、数据分析和数据整合; ii）管理试点项目 该计划侧重于开发创新方法来识别和表征SnCs; iii）协调MN TMC与其他TMC的活动，包括与我们的数据分析核心（DAC）和 CODCC为数据管理和传播制定标准作业程序;以及 与DAC合作，以确保及时将TMC生成的数据交付给CODCC， 遵守SenNet标准操作程序和SenNet设置的通用数据元素 指导委员会。 咨询委员会的目标将通过以下目标实现：1）监督和协调国家网络的工作 TMC确保研究目标和里程碑符合最高质量标准; 2）整合来自 MN TMC DAC和SenNet CODCC制定并确保符合生成数据的SOP 集，使健康的人类衰老的SnCs的多维图谱的发展。3)监督 并协调探索和评估用于检测、深度表型分析、追踪 并选择性地消除衰老细胞作为技术出现从试点项目，技术开发 项目（UG 3/UH 3）、其他TMC和其他研究衰老或构建细胞图谱的相关团体;以及 4 协调MN TMC与其他TMC的活动，以优化研究效率和规模经济 和范围，包括促进采用和/或进一步发展数据标准，分析工具， 数据共享/可视化/发现工具，以及多地点研究和培训活动。成功执行 这些目标将优化MN TMC的运营，最大限度地提高我们对SenNet的贡献， 提高SnC上收集的数据的精确性和可重复性，并确保我们的TMC符合 SenNet制定的标准实践。

Project Summary The Minnesota Tissue Mapping Center (MN TMC) for Senescent Cells (SnC) Administrative Core (AC) will be led by two PIs with synergistic expertise: Dr. Laura Niedernhofer, an expert in cellular senescence who participated in the numerous NIH Think Tanks that led to this Common Fund U54 RFA, and Dr. Constantin Aliferis, Director of the UMN Institute for Health Informatics (IHI) and Chief Research Informatics Officer. The main goals of the AC are to facilitate the interaction of all of the MN TMC cores to maximize the TMCs productivity and to create a seamless interface between the MN TMC and other TMCs, the Consortium Organization and Data Coordinating Center (CODCC), and the technology grant (UG3/UH3) awardees to maximize the synergy and productivity of the SenNet Consortium. The specific responsibilities of the AC are to: i) coordinate and provide oversight for the activities of the MN TMC Cores to facilitate access to human tissues, subject clinical data, tissue analysis, data analysis, and data integration; ii) administer a pilot project program focused on developing innovative approaches to identify and characterize SnCs; iii) coordinate MN TMC activities with those of the other TMCs, including working with our Data Analysis Core (DAC) and the CODCC to create standard operating procedures (SOPs) for data management and dissemination; and iv) work with the DAC to ensure delivery of the data generated by our TMC to the CODCC in a timely fashion and in compliance with the SenNet standard operating procedures and Common Data Elements set by the SenNet Steering Committee. The goals of the AC will be achieved through the following aims: 1) Oversee and coordinate efforts of the MN TMC to ensure that research goals and milestones are met with highest quality standards; 2) Integrate input from the MN TMC DAC and the SenNet CODCC to develop and ensure compliance with SOPs for generating data sets that enable the development of a multi-dimensional atlas of SnCs with healthy human aging. 3) Oversee and coordinate the exploration and evaluation of novel approaches for detecting, deeply phenotyping, tracing, and selectively eliminating senescent cells as technologies emerge from pilot projects, Technology Development Projects (UG3/UH3), other TMCs, and other relevant groups studying senescence or building cell atlases; and 4 ) Coordinate the activities of MN TMC with other TMCs to optimize research efficiency and economies of scale and scope, including contributing to the adoption and/or further development of data standards, analytic tools, data sharing/visualization/discovery tools, and multi-site studies and training activities. Successful execution of these aims will optimize the operations of MN TMC, maximize our contribution to SenNet, ensure SOPs that enhance the rigor and reproducibility of the data collected on SnCs, and ensure compliance of our TMC with the Standard Practices established by SenNet.