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

抽象-气味-整体 细胞衰老是一种应激反应，也是细胞在发育、修复、 韧性和正常衰老。深化和拓展我们对正常人体细胞衰老的研究 健康状况将提高我们对健康衰老和与年龄相关的残疾的认识，从而导致 综合和包容性的老年保护和老年治疗方法。全面的、高度的- 基于多模式和多维的人体不同组织细胞衰老分辨率图谱 为了满足这一需求，需要进行分析。Duke衰老细胞在正常组织中的评估(气味) U54组织图谱中心(TMC)将利用杜克大学学院广泛和世界领先的专业知识 为在正常情况下以单细胞分辨率绘制衰老细胞图谱的总体目标做出贡献 不同年龄跨度和人口统计学的人体组织。我们将利用杜克大学在许多方面的广泛专业知识 包括肺危重护理、肺和心脏移植手术、转化性研究和 生物信息学，收集高质量的正常组织样本，用于生物库，多模式，高分辨率 分析和数据整合，以充分描述人体器官和组织中细胞衰老的特征。 杜克香水TMC将按照Sennet的要求围绕4个核心进行组织： 该中心的行政核心(AC)将为其他核心和 在设置阶段与NIH工作人员和SENNET联盟进行沟通，以就共同协议达成一致。 Biospecimen核心将为预期的获取、保存和加工建立最佳做法 不同的、高质量的正常健康人体组织和相关的生物液。 生物分析核心将提供最先进的分析，由一个高度成功的团队领导 成功利用这些特定平台并与以前和/或 目前的老化分析。 数据分析核心(DAC)将管理、处理和分析为描绘衰老细胞而产生的数据 签名和构建衰老细胞组织图，以及与管理核心合作以 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.