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Omics · study · 2026

In vivo single-cell ribosome profiling reveals cell-type-specific translational programs during aging [scRNA-Seq]

Listed in NCBI GEO

Somatic stem cells are characterized by their low overall protein synthesis rates, a feature implicated in driving their stemness.

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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.

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Life Sciences
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE28033014 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:single-cell-rna-seqenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:10090source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title