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Identification of senescent cell subpopulations by CITE-seq analysis.
Abdelmohsen, Kotb; Mazan-Mamczarz, Krystyna; Munk, Rachel; Tsitsipatis, Dimitrios; Meng, Qiong; Rossi, Martina; Pal, Apala; Shin, Chang Hoon; Martindale, Jennifer L; Piao, Yulan; Fan, Jinshui; Yanai, Hagai; De, Supriyo; Beerman, Isabel; Gorospe, Myriam.
Afiliação
  • Abdelmohsen K; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Mazan-Mamczarz K; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Munk R; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Tsitsipatis D; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Meng Q; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Rossi M; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Pal A; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Shin CH; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Martindale JL; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Piao Y; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Fan J; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Yanai H; Translational Gerontology Branch, National Institute on Aging (NIA) Intramural Research Program (IRP), National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • De S; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Beerman I; Translational Gerontology Branch, National Institute on Aging (NIA) Intramural Research Program (IRP), National Institutes of Health (NIH), Baltimore, Maryland, USA.
  • Gorospe M; Laboratory of Genetics and Genomics, National Institutes of Health (NIH), Baltimore, Maryland, USA.
Aging Cell ; : e14297, 2024 Aug 14.
Article em En | MEDLINE | ID: mdl-39143693
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article