← BioTransfer GEO Dataset Finder
GEO series

Opposing functions of distinct regulatory T cell subsets in colorectal cancer

GSE311260 Mus musculus Expression profiling by high throughput sequencing; Other 5 samples Submitted 2025/12/15 Platform GPL19057
Summary
Regulatory T (Treg) cells are considered major contributors to the growth of solid organ tumors, with the notable exception of colorectal cancer (CRC), despite the documented abundance of Treg cells in CRC. Here, we demonstrate that IL-10⁺ and IL-10⁻ Treg cells constitute two distinct subsets with opposing functions: IL-10⁺ Treg cells counteract, while IL-10⁻ Treg cells promote, the growth of genetically engineered CRC tumors. Our findings suggest that the tumor-suppressive function of IL-10⁺ Treg cells is mediated by their suppression of effector CD4⁺ T cell production of IL-17, a cytokine that directly stimulates CRC tumor cell proliferation. Consistently, IL-10⁺ Treg cells were more abundant in both mouse and human CRC tumors than in tumor-adjacent normal colon tissue, whereas IL-10⁻ Treg cells exhibited the opposite distribution. Furthermore, gene expression signatures associated with IL-10⁺ and IL-10⁻ Treg cells correlated with better and worse disease prognoses in human CRC, respectively. This functional dichotomy between Treg subsets provides a rationale for therapeutic strategies aimed at selectively targeting pro-tumoral Treg cells while preserving their anti-tumoral counterparts across various barrier tissue cancers that harbor both subsets.
Published in
Opposing functions of distinct regulatory T cell subsets in colorectal cancer
Huang X, Feng D, Mitra S et al. · Immunity 2026 · PMID 41401810 · doi:10.1016/j.immuni.2025.11.014
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE311260_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 5 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1368857 and SRA study SRP648608. 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.

+ 5 more — browse all 5 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.