Administrative Core

行政核心

• 批准号: 10675008
• 负责人: David A Bernlohr
• 金额: $ 72.07万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-02 至 2026-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10675008
• 关键词: Adherence; Adipose tissue; Adoption; Aging; Animals; Atlases; Bacterial Artificial Chromosomes; Basic Science; Biochemistry; Biology; Biology of Aging; Biophysics; Brain; Cell Aging; Cells; Cellular biology; Clinic; Collaborations; Common Data Element; Communication; Communities; Critical Care; Data; Data Analyses; Data Collection; Data Coordinating Center; Data Set; Development; Development Plans; Dimensions; Emerging Technologies; Ensure; Evaluation; Experimental Designs; Funding; Future; Gene Expression Profiling; Generations; Goals; Grant; Head; Histology; Home; Human; IACUC; Immunology; Interdisciplinary Study; International; Knowledge; Laboratories; Leadership; Lipids; Liver; Lung; Management Information Systems; Maps; Metabolic; Methods; Midwestern United States; Minnesota; Molecular Biology; Mus; Muscle; Obesity; Osteoporosis; Paper; Pathology; Phenotype; Pilot Projects; Procedures; Productivity; Protocols documentation; Readiness; Reporting; Reproducibility; Research; Research Personnel; Role; Sampling; Signal Transduction; Site; Software Tools; Technology; Testing; Tissues; Training; Training Activity; Transfer Agreement; Transgenic Mice; United States National Institutes of Health; Universities; Validation; Visualization; Visualization software; Work; analytical tool; biomarker discovery; bone; career; data exchange; data integration; data sharing; data standards; data submission; data visualization; experience; human tissue; innovation; medical schools; meetings; metadata standards; mouse model; nano-string; novel strategies; operation; oxidized lipid; pharmacologic; programs; senescence; single cell analysis; technology development; tissue mapping; tool; webinar

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.

项目总结