Administrative Core

项目总结 中西部小鼠衰老细胞组织测绘中心的管理核心(AC) (SNCS)将由三名具有协同专业知识和丰富的多学科领导经验的PI领导 研究中心：大卫·伯恩洛尔博士(UMN)，脂肪生物学、脂质信号方面的专家，最近 细胞衰老；SunDeep Khosla博士(Mayo)，骨生物学、细胞衰老和小鼠方面的专家 清除和报告SNCs的模型；以及单细胞肺生物学专家Scott Budinger博士(西北大学) 转录图谱和衰老生物学。AC的主要目标是促进 MM-TMC核心可最大限度地提高TMC的生产效率，从而在MM-TMC之间创建无缝接口 数据分析核心(DAC)和SENet联盟组织和数据协调中心(CODCC)， 并促进与其他人和小鼠TMC和UG3(技术开发项目)的互动。 协调中心的具体职责是：i)协调和监督MM-TMC核心，以促进访问 对小鼠组织、数据收集、分析和集成；ii)管理一个试点项目计划，重点是 制定创新办法，以确定和确定国家的特点；三)协调MM-TMC的活动 以提高在小鼠中映射SNC的严密性和重复性，并使用鼠标数据来提供信息 人类SNC测绘工作；iv)促进我们的发改委和CODCC之间的沟通，以确保 遵守标准操作程序(SOP)和通用数据元素的定义，并使 及时提交数据；v)促进MM-TMC团队与Sennet之间的合作，以产生 针对数据生成和元数据标准、TMC间和TMC-UG3协作以及 交叉培训，以及为更广泛的数据分析和可视化工具开发的连贯计划 科学界。MM-TMC咨询委员会的具体目标是：1)监督和协调 MM-TMC确保以最高质量标准满足研究目标和里程碑；2)整合投入 从MM-TMC DAC和SENet CODCC制定并确保符合SOP 能够开发具有健康老鼠老化的SNC的多维地图集的数据集。3)监督 并协调探索和评估用于检测、深入表型鉴定、追踪、 以及随着试点项目、UG3项目、其他TMC和外部团体的技术涌现而扰乱SNC 研究SNC或建立细胞图谱；以及4)协调MM-TMC与其他TMC的活动，以优化 研究效率以及规模和范围的经济，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/发现工具和多站点研究 和训练。这些目标的成功实施将优化MM-TMC的运营，最大限度地提高我们的 对Sennet的贡献，并确保符合Sennet支持严格性和重复性的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.