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Omics · study · 2026

Single-cell transcriptomic analysis of synovial tissues from aged mice

Listed in NCBI GEO

We employed a single‑cell RNA sequencing approach using the 10x Genomics platform to profile synovial tissues from aged (24‑month‑old) wilt-typt mice.

Description

This study aims to delineate cell‑type‑specific transcriptional changes in the synovium associated with aging, thereby providing insights into how aging reshapes the synovial cellular landscape and may contribute to the increased susceptibility to joint pathologies, such as osteoarthritis, in the elderly.

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From keywords
Life Sciences
Inferred from text
RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE32749614 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
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[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