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通过 CITE-seq 分析鉴定衰老细胞亚群。

Identification of senescent cell subpopulations by CITE-seq analysis.

机构信息

Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.

Translational Gerontology Branch, National Institute on Aging (NIA) Intramural Research Program (IRP), National Institutes of Health (NIH), Baltimore, Maryland, USA.

出版信息

Aging Cell. 2024 Nov;23(11):e14297. doi: 10.1111/acel.14297. Epub 2024 Aug 14.

DOI:10.1111/acel.14297
PMID:39143693
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11561699/
Abstract

Cellular senescence, a state of persistent growth arrest, is closely associated with aging and age-related diseases. Deciphering the heterogeneity within senescent cell populations and identifying therapeutic targets are paramount for mitigating senescence-associated pathologies. In this study, proteins on the surface of cells rendered senescent by replicative exhaustion and by exposure to ionizing radiation (IR) were identified using mass spectrometry analysis, and a subset of them was further studied using single-cell CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) analysis. Based on the presence of proteins on the cell surface, we identified two distinct IR-induced senescent cell populations: one characterized by high levels of CD109 and CD112 (cluster 3), the other characterized by high levels of CD112, CD26, CD73, HLA-ABC, CD54, CD49A, and CD44 (cluster 0). We further found that cluster 0 represented proliferating and senescent cells in the G1 phase of the division cycle, and CITE-seq detection of cell surface proteins selectively discerned those in the senescence group. Our study highlights the heterogeneity of senescent cells and underscores the value of cell surface proteins as tools for distinguishing senescent cell programs and subclasses, paving the way for targeted therapeutic strategies in disorders exacerbated by senescence.

摘要

细胞衰老,一种持续的生长停滞状态,与衰老和与年龄相关的疾病密切相关。解析衰老细胞群体中的异质性,并确定治疗靶点,对于减轻与衰老相关的病理非常重要。在这项研究中,使用质谱分析鉴定了因复制性衰竭和电离辐射(IR)暴露而衰老的细胞表面的蛋白质,并使用单细胞 CITE-seq(通过测序对转录物和表位进行细胞索引)分析进一步研究了其中的一部分。基于细胞表面存在的蛋白质,我们鉴定了两种不同的 IR 诱导的衰老细胞群体:一种以高水平的 CD109 和 CD112(簇 3)为特征,另一种以高水平的 CD112、CD26、CD73、HLA-ABC、CD54、CD49A 和 CD44(簇 0)为特征。我们进一步发现,簇 0 代表分裂周期 G1 期的增殖和衰老细胞,细胞表面蛋白的 CITE-seq 检测可选择性地区分衰老组中的细胞。我们的研究强调了衰老细胞的异质性,并强调了细胞表面蛋白作为区分衰老细胞程序和亚类的工具的价值,为靶向治疗因衰老而加剧的疾病铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7a/11561699/0083733e51c9/ACEL-23-e14297-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7a/11561699/dcd62c02cf7b/ACEL-23-e14297-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7a/11561699/0bf697678f0a/ACEL-23-e14297-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7a/11561699/27f2ff4b906e/ACEL-23-e14297-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7a/11561699/2c930f26cfdc/ACEL-23-e14297-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7a/11561699/0083733e51c9/ACEL-23-e14297-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7a/11561699/dcd62c02cf7b/ACEL-23-e14297-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7a/11561699/0bf697678f0a/ACEL-23-e14297-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7a/11561699/27f2ff4b906e/ACEL-23-e14297-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7a/11561699/2c930f26cfdc/ACEL-23-e14297-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc7a/11561699/0083733e51c9/ACEL-23-e14297-g001.jpg

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J Clin Invest. 2023 Jun 15;133(12):e165933. doi: 10.1172/JCI165933.
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A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation.一种用于CITE-seq和单细胞RNA-seq数据整合以及细胞表面蛋白预测与插补的多用途深度学习方法。
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