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Omics · study · 2026

Single cell gene expression profiling of renal cell carcinoma

Listed in NCBI GEO

This dataset profiles intra-tumor heterogeneity in renal cell carcinoma using single-cell gene expression analysis.

Description

Single-cell transcriptomic profiles were generated to characterize malignant and non-malignant cell populations and to enable comparative analyses between primary and metastatic disease states. Gene expression data were used to derive gene programs that capture transcriptional heterogeneity among renal cell carcinoma cells.

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Where it is published

Documentation and papers

Topics

From keywords
Life Sciences
Inferred from text
Disease 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE32857514 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[disease].local:disease:diseaseenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
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[organism].NCBITaxon:10090source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
concepts[organism].NCBITaxon:9606source · 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