The Duke Senescent Cell Evaluations in Normal Tissues (SCENT) Mapping Center

摘要-气味-总体 细胞衰老是一种应激反应，也是细胞发育、修复、 恢复力和正常老化。深化和扩大我们对正常人细胞衰老的研究 条件将促进我们的健康老龄化以及与年龄有关的残疾的知识，从而导致 对老年保护和老年治疗采取综合性和包容性办法。一个全面的，高- 分辨率，基于多模态和多维的各种人体组织细胞衰老图谱 需要进行分析以满足这一需要。正常组织中的杜克衰老细胞评价（SCENT） U 54组织绘图中心（TMC）将利用杜克大学学院广泛的世界领先的专业知识 医学系的贡献的总体目标映射衰老细胞在单细胞分辨率在正常 不同年龄段和人口统计学特征的人体组织。我们将利用杜克在许多方面的广泛专业知识， 领域，包括肺重症监护，肺和心脏移植手术，转化研究， 生物信息学，收集高质量的正常组织标本，用于生物库，多模式，高分辨率 分析和数据整合，以充分表征人体器官和组织中的细胞衰老。 根据SenNet的要求，杜克SCENT TMC将围绕4个核心进行组织： 该TCM的管理核心（AC）将为其他核心提供指导和领导， 在设置阶段与NIH工作人员和SenNet联盟进行沟通，以商定通用协议。 生物标本核心将建立前瞻性采集，保存和处理的最佳实践， 多样化、高质量的正常健康人体组织和相关生物流体。 生物分析核心将提供最先进的分析，由一个高度成就的团队领导， 研究科学家成功地利用这些特定的平台与以前的和/或 当前衰老分析。 数据分析核心（DAC）将管理、处理和分析生成的数据，以分析衰老细胞 签名和构建衰老细胞组织图，以及与行政核心合作， 协调与其他SenNet机构共享数据、方法和管道。

ABSTRACT –SCENT– Overall Cellular senescence is a stress-response, as well as a critical component of cell fate during development, repair, resilience and normal aging. Deepening and broadening our investigations into cellular senescence in normal condition will advance our knowledge of healthy aging as well as age-related disabilities, thereby leading to integrated and inclusive approaches to Gero-Protection and Gero-Therapeutics. A comprehensive, high- resolution, Atlas of cellular senescence in various human tissues based on multimodal and multidimensional analyses is required to address this need. The Duke Senescent Cell Evaluations in Normal Tissues (SCENT) U54 Tissue Mapping Center (TMC) will leverage the broad and world-leading expertise of Duke University School of Medicine faculty to contribute to the overall goal of mapping senescent cells at single cell resolution in normal human tissues of across age-span and demographics. We will take advantage of Duke's broad expertise in many areas, including pulmonary critical care, lung and heart transplant surgery, translational research, and bioinformatics, to collect high-quality normal tissue specimens for biobanking, multimodal, high-resolution analysis, and data integration to fully characterize cellular senescence in human organs and tissues. The Duke SCENT TMC will be organized around 4 Cores as required by SenNet: The Administrative Core (AC) of this TCM will provide guidance and leadership to the other cores and communicate with NIH Staff and the SenNet Consortium during the set-up phase to agree on common protocols. The Biospecimen Core will establish best practices for prospective acquisition, preservation and processing of diverse, high-quality normal healthy human tissues and associated biofluids. The Biological Analysis Core will deliver state-of-the-art profiling, led by a team of highly accomplished research scientists who have successfully utilized these specific platforms in conjunction with previous and/or current senescent analyses. The Data Analysis Core (DAC) will manage, process and analyze the data generated to profile senescent cell signatures and construct senescent cell tissue maps, as well as collaborate with the Administrative Core to coordinate sharing of data, methods and pipelines with other SenNet institutions.