← BioTransfer GEO Dataset Finder
GEO series

Regulatory T cells converted from T helper 1 cells in tumors suppress cancer immunity via CD39 [scRNA-seq]

GSE285225 Mus musculus Expression profiling by high throughput sequencing 4 samples Submitted 2024/12/30 Platform GPL28330
Summary
Although regulatory T (Treg) cells are widely believed to impede anti-tumor immunity, their regulation and functional mechanisms are not well understood. Here, through characterization of multiple cancer models, we identified substantial periphery-induced Treg cells in the tumor microenvironment (TME), depletion of which provoked anti-tumor responses and conferred potent therapeutic effects by increasing functional CD8+ T cells. Through fate-mapping and transfer experiments, we found IFN-γ-expressing T helper (Th) 1 cells developed into Treg cells in tumors, in response to TGF-β signaling. Pseudotime trajectory further revealed the terminal differentiation of Th1-like Treg cells from Th1 cells in the TME. Hence, tumor-resident Treg cells highly expressed T-bet, which was essential for their function in the TME. CD39, highly expressed by T-bet+ Treg cells in both mouse and human tumors, is required for Treg suppression of CD8+ T cell response. In summary, our study has elucidated a developmental pathway of intra-tumoral Treg cells and implicated new ways of targeting them in cancer patients.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE285225_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 PRJNA1202067 and SRA study SRP553404. 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.