← BioTransfer GEO Dataset Finder
GEO series

Single-cell transcriptomics reveals distinct molecular alterations of human renal cell carcinoma-derived endothelial cells that are stable in ex vivo primary culture [scRNA-seq]

GSE237425 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2024/07/27 Platform GPL24676
Summary
Even though tumor endothelial cells are a key component of the tumor microenvironment and represent the main interface between tumor cells and the host’s circulation and immune system, their phenotypes and functional properties are relatively poorly understood. To address this deficit, we purified tumor and matched normal endothelial cells from highly vascularized kidney cancer specimens and performed single cell RNA-seq to characterize endothelial cell gene expression patterns and heterogeneity. We found that tumor endothelial cells from multiple donors shared a common phenotype with increased expression of pathways related to extracellular matrix regulation, cell-cell communication and insulin growth factor signaling. We also found that while normal endothelial cells from kidney and liver were divergent, most tumor endothelial cells from kidney and liver cancer shared common gene expression signatures suggesting a congruence of tumor endothelial cell phenotypes. Using RNA-seq, we determined that many of the differentially regulated genes between tumor and normal endothelial cells were maintained in primary culture, which in turn permitted study of their functional phenotypes in vitro. Cultured tumor endothelial cells were resistant to apoptosis after trophic factor removal and displayed increased adhesiveness for CD+ CD25+ T regulatory cells. Our studies delineate the unique functional and immunophenotypic properties of kidney cancer tumor endothelial cells, which will serve as the basis to develop new therapies.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE237425_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA994934 and SRA study SRP449599. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

Similar datasets

Search all human RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.