Administrative Core

项目摘要 中西部衰老细胞小鼠组织绘图中心（MM-TMC）的管理核心（AC） （SnCs）将由三名具有协同专业知识和丰富经验的PI领导， 研究中心：大卫Bernlohr博士（UMN），在脂肪生物学，脂质信号的专家，最近， 细胞衰老; Sundeep Khosla博士（马约），骨生物学、细胞衰老和小鼠 清除和报告SnCs的模型;和Scott Budinger博士（西北大学），肺生物学专家，单细胞 转录谱和衰老生物学。AC的主要目标是促进 MM-TMC核心，以最大限度地提高TMC的生产力，在MM-TMC之间创建无缝接口， 数据分析核心（DAC）和SenNet联盟组织和数据协调中心（CODCC）， 并促进与其他人类和小鼠TMC和UG 3（技术开发项目）的相互作用。 AC的具体职责是i）协调和监督MM-TMC核心，以促进访问 小鼠组织，数据收集，分析和整合; ii）管理一个试点项目计划，重点是 开发创新方法，以确定和表征SnCs; iii）协调MM-TMC活动， 的其他TMC，以提高在小鼠中绘制SnCs的严谨性和再现性，并使用小鼠数据来告知 人类SnC绘图工作。（iv）促进发展谘询委员会与儿童发展协调委员会的沟通，以确保 遵守标准操作程序（SOP）和通用数据元素的定义， 及时提交数据; v）促进MM-TMC团队和SenNet之间的合作， 用于数据生成和元数据标准、TMC间和TMC-UG 3协作的网络范围指标， 交叉培训，并为更广泛的数据分析和可视化工具的开发制定一个有凝聚力的计划， 科学界。MM-TMC AC的具体目标是：1）监督和协调 MM-TMC确保研究目标和里程碑符合最高质量标准; 2）整合输入 从MM-TMC DAC和SenNet CODCC开发并确保符合SOP， 数据集，使得能够开发具有健康小鼠衰老的SnCs的多维图谱。3)监督 并协调探索和评估用于检测、深度表型分析、追踪 随着技术从试点项目、UG 3项目、其他技术管理中心和外部团体中涌现出来， 研究SnCs或建立细胞图谱;以及4）协调MM-TMC与其他TMC的活动，以优化 研究效率和规模经济，包括促进采用和/或进一步 开发数据标准、分析工具、数据共享/可视化/发现工具和多地点研究 和培训及其有效这些目标的成功执行将优化MM-TMC的运营，最大限度地提高我们的 为SenNet做出贡献，并确保遵守支持严格性和可再现性的SenNet SOP。

PROJECT SUMMARY The Administrative Core (AC) for the Midwest Murine-Tissue Mapping Center (MM-TMC) for Senescent Cells (SnCs) will be led by three PIs with synergistic expertise and extensive experience leading multidisciplinary research centers: Dr. David Bernlohr (UMN), an expert in adipose biology, lipid signaling, and more recently cellular senescence; Dr. Sundeep Khosla (Mayo), an expert in bone biology, cellular senescence, and mouse models to clear and report SnCs; and Dr. Scott Budinger (Northwestern), an expert in lung biology, single cell transcriptional profiling, and the biology of aging. The main goals of the AC are to facilitate interactions between the MM-TMC cores to maximize the TMC’s productivity, to create a seamless interface between the MM-TMC Data Analysis Core (DAC) and the SenNet Consortium Organization and Data Coordinating Center (CODCC), and to promote interactions with other human and mouse TMCs and UG3s (Technology Development Projects). The specific responsibilities of the AC are to i) coordinate and oversee the MM-TMC cores to facilitate access to murine tissues, data collection, analysis, and integration; ii) administer a pilot project program focused on developing innovative approaches to identify and characterize SnCs; iii) coordinate MM-TMC activities with those of other TMCs to enhance the rigor and reproducibility of mapping SnCs in mice and using mouse data to inform the human SnC mapping efforts.; iv) facilitate communication between the our DAC and the CODCC to ensure adherence to standard operating procedures (SOPs) and definitions of common data elements and to enable timely data submission; v) facilitate collaborations between the MM-TMC team and SenNet that will yield network-wide metrics for data generation and metadata standards, inter-TMC and TMC-UG3 collaborations and cross-training, and a cohesive plan for the development of data analysis and visualization tools for the broader scientific community. The Specific Aims of the MM-TMC AC are to: 1) Oversee and coordinate efforts of the MM-TMC to ensure that research goals and milestones are met with highest quality standards; 2) Integrate input from the MM-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 mouse aging. 3) Oversee and coordinate the exploration and evaluation of novel approaches for detecting, deeply phenotyping, tracing, and perturbing SnCs as technologies emerge from pilot projects, UG3 projects, other TMCs, and external groups studying SnCs or building cell atlases; and 4) Coordinate the activities of MM-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. Successful execution of these aims will optimize the operations of MM-TMC, maximize our contribution to SenNet, and ensure compliance with SenNet SOPs that support rigor and reproducibility.