Table · study · 2026
In vivo single-cell ribosome profiling reveals cell-type-specific translational programs during aging
Listed in NCBI GEO
Somatic stem cells are characterized by their low overall protein synthesis rates, a feature implicated in driving their stemness.
Description
Yet, how aging reshapes the translational landscape of stem cells and how these changes impact their regenerative capacity remains poorly understood. Here, we present an in vivo single-cell ribosome profiling strategy to monitor tissue-wide translational landscapes of the young and aged mouse skin.
By implementing efficient in vivo cell isolation and switching to RNAse I-based ribonuclease for generating ribosomal footprints, we enhance the accessibility of single-cell ribosome profiling and facilitate the evaluation of triplet periodicity, a hallmark of high-quality data. Leveraging this strategy and integrating single-cell RNA sequencing with ribosome profiling, we document the translational landscapes of the major epidermal cell types, outline cell-type-specific translational efficiencies and capture heterogeneity in differentiation commitment among stem cell populations.
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Notably, we identify a pronounced translational reprogramming of AP-1 subunits specifically in aged epidermal stem cells. Our proof-of-concept study illustrates the power of in vivo single-cell ribosome profiling to map cell-type-specific translational landscapes and offers a scalable strategy for tissue-wide interrogation of translational landscapes at single-cell resolution.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE280nnn/GSE280255 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE280255 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1177458 ncbi.nlm.nih.gov/bioproject/PRJNA1177458 ↗
project · from NCBI GEO
Topics
- Stated by source
- Mus musculus · Other
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 75% · Sequencing 75% · Single-cell RNA sequencing 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE280255 | 10 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:other | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | 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[modality].local:modality:single-cell-rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:10090 | 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 |