← BioTransfer GEO Dataset Finder
GEO series

Identification of senescent cell subpopulations by CITE-seq analysis

GSE250041 Homo sapiens Expression profiling by high throughput sequencing; Other 4 samples Submitted 2026/03/23 Platform GPL24676
Summary
Cellular senescence, a state of indefinite 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-related pathologies. In this study, proteins on the surface of senescent cells were identified using mass spectrometry, and a subset of them was used for single-cell CITE-seq (Cellular Indexing of Transcriptomes and Epitopes by Sequencing) analysis. Among seven clusters of senescent cells identified, cluster 1 was characterized by high levels of CD109 and CD112 on the plasma membrane, and cluster 2 by high levels of CD44, CD73, CD49a, and CD54 on the plasma membrane. The transcriptomes of cluster 1 revealed cells in which translation was reduced, proteolysis was increased, and SASP factors including IL1B, GDF15, CCL13, and CCL2 were expressed. The transcriptomes of cluster 2 revealed cells that expressed a different subset of SASP factors such as VEGFA, IL13, IL15, FGF2, and FGF7, as well as extracellular matrix remodeling factors. Our study highlights the heterogeneity of senescent cells and represents the first attempt to explore the potential of cell surface proteins as tools for differentiating senescent cell programs and subclasses, paving the way for targeted therapeutic strategies in disorders exacerbated by senescence.
Published in
Identification of senescent cell subpopulations by CITE-seq analysis
Abdelmohsen K, Mazan-Mamczarz K, Munk R et al. · Aging cell 2024 · PMID 39143693 · doi:10.1111/acel.14297
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE250041_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1051650 and SRA study SRP477661. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.