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NIH SenNet 联盟绘制人类整个生命周期中的衰老细胞图谱,以了解生理健康状况。

NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health.

出版信息

Nat Aging. 2022 Dec;2(12):1090-1100. doi: 10.1038/s43587-022-00326-5. Epub 2022 Dec 20.

Abstract

Cells respond to many stressors by senescing, acquiring stable growth arrest, morphologic and metabolic changes, and a proinflammatory senescence-associated secretory phenotype. The heterogeneity of senescent cells (SnCs) and senescence-associated secretory phenotype are vast, yet ill characterized. SnCs have diverse roles in health and disease and are therapeutically targetable, making characterization of SnCs and their detection a priority. The Cellular Senescence Network (SenNet), a National Institutes of Health Common Fund initiative, was established to address this need. The goal of SenNet is to map SnCs across the human lifespan to advance diagnostic and therapeutic approaches to improve human health. State-of-the-art methods will be applied to identify, define and map SnCs in 18 human tissues. A common coordinate framework will integrate data to create four-dimensional SnC atlases. Other key SenNet deliverables include innovative tools and technologies to detect SnCs, new SnC biomarkers and extensive public multi-omics datasets. This Perspective lays out the impetus, goals, approaches and products of SenNet.

摘要

细胞通过衰老来应对许多应激源,表现为获得稳定的生长停滞、形态和代谢变化以及促炎的衰老相关分泌表型。衰老细胞(SnCs)和衰老相关分泌表型的异质性非常大,但特征描述不足。SnCs 在健康和疾病中具有多种作用,并且是治疗的靶点,因此对 SnCs 及其检测的特征描述是当务之急。细胞衰老网络(SenNet)是美国国立卫生研究院共同基金倡议的一个项目,旨在满足这一需求。SenNet 的目标是绘制人类整个生命周期中的 SnCs 图谱,以推进诊断和治疗方法,改善人类健康。将应用最先进的方法来鉴定、定义和绘制 18 个人体组织中的 SnCs。一个通用的坐标框架将整合数据,创建四个维度的 SnC 图谱。SenNet 的其他关键成果包括用于检测 SnCs 的创新工具和技术、新的 SnC 生物标志物以及广泛的公共多组学数据集。本观点阐述了 SenNet 的动力、目标、方法和产品。

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