Omics · study · 2026
Identification of senescent cell subpopulations by CITE-seq analysis
Listed in NCBI GEO
Cellular senescence, a state of indefinite growth arrest, is closely associated with aging and age-related diseases.
Description
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.
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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.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE250nnn/GSE250041 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE250041 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1051650 ncbi.nlm.nih.gov/bioproject/PRJNA1051650 ↗
project · from NCBI GEO
- PubMed 39143693 pubmed.ncbi.nlm.nih.gov/39143693 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Homo sapiens · Other
- From keywords
- Life Sciences
- Inferred from text
- Mass spectrometry 75% · Sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE250041 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[method].geo_series_type:other | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:mass-spectrometry | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:9606 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |