Administrative Core

行政核心

• 批准号: 10385162
• 负责人: Laura Jane Niedernhofer
• 金额: $ 33.02万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-30 至 2026-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10385162
• 关键词: Administrative; Core

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.

项目概要 明尼苏达衰老细胞组织绘图中心 (MN TMC) (SnC) 管理核心 (AC) 将 由两位具有协同专业知识的 PI 领导：Laura Niedernhofer 博士，细胞衰老专家， 参与了众多 NIH 智囊团的成员，这些智囊团促成了此次共同基金 U54 RFA，以及 Constantin 博士 Alliferis，UMN 健康信息学研究所 (IHI) 所长兼首席研究信息官。这 AC 的主要目标是促进所有 MN TMC 核心的交互，以最大化 TMC 生产力并在 MN TMC 和其他 TMC 之间创建无缝接口，该联盟 组织和数据协调中心 (CODCC) 以及技术补助金 (UG3/UH3) 获奖者 最大限度地发挥 SenNet 联盟的协同作用和生产力。审计委员会的具体职责是 i) 协调和监督 MN TMC 核心的活动，以促进与人类的接触 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 计划重点开发创新方法来识别和表征 SnC； iii) 坐标 MN TMC 与其他 TMC 的活动，包括与我们的数据分析核心 (DAC) 和 CODCC 为数据管理和传播创建标准操作程序（SOP）； iv) 工作 与 DAC 合作，确保将我们的 TMC 生成的数据及时、有效地交付给 CODCC 遵守 SenNet 标准操作程序和 SenNet 设定的通用数据元素 指导委员会。 AC 的目标将通过以下目标来实现： 1) 监督和协调 MN 的工作 TMC 确保研究目标和里程碑符合最高质量标准； 2) 整合输入 MN TMC DAC 和 SenNet CODCC 开发并确保遵守生成数据的 SOP 集能够开发具有健康人类衰老作用的多维 SnC 图集。 3）监督 协调检测、深度表型分析、追踪、 并随着试点项目中出现的技术选择性地消除衰老细胞，技术开发 项目（UG3/UH3）、其他 TMC 以及其他研究衰老或构建细胞图谱的相关团体；和 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，包括促进数据标准、分析工具的采用和/或进一步开发， 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，确保 SOP 提高 SnC 收集数据的严谨性和可重复性，并确保我们的 TMC 符合 SenNet 制定的标准实践。