← BioTransfer GEO Dataset Finder
GEO series

Single cell RNA sequencing of the in vivo mouse TME

GSE268749 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2025/07/28 Platform GPL24247
Summary
Ovarian cancer (OC) poses a significant challenge due to frequent recurrence linked to tumor heterogeneity and an immunosuppressive tumor microenvironment (TME). Targeting both OC cells and TME simultaneously holds promise for effective treatment. This study comprehensively analyzed 17 chemonaive and 18 refractory/recurrent OC samples, identifying mesothelin (MSLN) and natural killer receptor (NKR) ligands as tumor targets and CD1d as an OC TME target. Leveraging hematopoietic stem cell (HSC) gene engineering and feeder-free differentiation culture, we generated allogeneic MSLN-targeting CAR (MCAR)-engineered invariant natural killer T (MCAR-NKT) cells, demonstrating high-yield and high-purity production, potent antitumor efficacy, multiple tumor targeting mechanism, and significant in vivo expansion and persistence. Notably, these cells selectively deplete immunosuppressive TAMs and MDSCs, counteract tumor immune evasion, display a favorable safety profile with low risks of GvHD and CRS, and exhibit a stable “hypoimmunogenic” phenotype attributed to epigenetic and signaling regulations. These findings underscore the feasibility and therapeutic potential of allogeneic MCAR-NKT cell products for OC, laying a foundation for further translation and clinical development.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE268749_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1118670 and SRA study SRP510987. 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.

+ 4 more — browse all 4 samples with per-sample file links →

Similar datasets

Search all mouse 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.