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中文摘要
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摘要 尽管在理解衰老机制以及它们如何促进健康方面取得了进展, 与年龄有关的疾病,现代技术在衰老生物学研究人员中的广泛使用是缺乏的。 然而,在巴克研究所和南加州大学,我们已经开发和实施了一套高度集成和 最先进的平台(例如线粒体和代谢以及模型生物体健康跨度和恢复力 核心)以及下一代和尖端资源(从单细胞生物学到人工 情报)。总的来说,这些资源是专门为老龄化生物学的需要而设计的 科学界。我们提出了一个以用户为核心的交互,它比简单地分析样本更深入, 是一个真正的合作基础上先进的知识,未发表的研究和最新的信息老化 机制等这一核心的重要性来自于外部调查人员从被 不熟悉老龄化领域,准备在NIA考虑有竞争力的赠款提案。
英文摘要
ABSTRACT Despite progress made in understanding mechanisms of aging and how they contribute to healthspan and age-related diseases, the wider usage of modern technologies among researchers in aging biology is lacking. However, at the Buck Institute and USC, we have developed and implemented a set of highly integrated and start-of-the-art platforms (e.g. Mitochondria and Metabolism and Model Organisms Healthspan and Resilience cores) as well as next-generation and cutting-edge resources (from Single Cell Biology to Artificial Intelligence). Collectively, these resources are specifically designed for the needs of the biology of aging scientific community. We propose a user – core interaction that goes deeper than simply analyzing samples; it is a true collaboration based on advanced knowledge, unpublished studies and up-to-date information on aging mechanisms. This core derives significance from the rate at which an outside investigator can go from being unfamiliar with the aging field to preparing competitive grant proposals for consideration at the NIA.
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Mapping and validating senescent cells in human muscle, ovary and breast
Single cell analysis core
Single cell analysis core
Evaluating diverse technologies for detecting and validating senescent cells in vivo
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