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细胞衰老的异质性:单细胞水平的新见解。

The heterogeneity of cellular senescence: insights at the single-cell level.

机构信息

UConn Center on Aging, UConn Health, Farmington, CT, USA; Department of Genetics and Genome Sciences, UConn Health, Farmington, CT, USA.

UConn Center on Aging, UConn Health, Farmington, CT, USA.

出版信息

Trends Cell Biol. 2023 Jan;33(1):9-17. doi: 10.1016/j.tcb.2022.04.011. Epub 2022 May 20.

DOI:10.1016/j.tcb.2022.04.011
PMID:35599179
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9812642/
Abstract

Senescent cells are highly associated with aging and pathological conditions and could be targeted to slow the aging process. One commonly used marker to examine senescent cells in vivo is p16, which has led to important discoveries. Recent studies have also described new senescence markers beyond p16 and have highlighted the importance of investigating senescence heterogeneity in cell types and tissues. With the development of high-throughput technologies, such as single-cell RNA-seq and single-nucleus RNA-seq, we can examine senescent cells at the single-cell level and potentially uncover new markers. This review emphasizes that there is an urgent need to investigate senescence heterogeneity and discuss how this could be accomplished by using advanced technologies and sequencing datasets.

摘要

衰老细胞与衰老和病理状况高度相关,可以作为靶向目标来减缓衰老过程。一种常用于体内检测衰老细胞的常用标志物是 p16,这一标志物带来了重要的发现。最近的研究还描述了除 p16 之外的新的衰老标志物,并强调了研究细胞类型和组织中衰老异质性的重要性。随着高通量技术(如单细胞 RNA-seq 和单核 RNA-seq)的发展,我们可以在单细胞水平上检测衰老细胞,并有可能发现新的标志物。这篇综述强调了迫切需要研究衰老异质性,并讨论了如何通过使用先进技术和测序数据集来实现这一目标。

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A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues.一组新的基因集可识别衰老细胞,并预测跨组织的衰老相关途径。
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Profiling senescent cells in human brains reveals neurons with CDKN2D/p19 and tau neuropathology.
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