← BioTransfer GEO Dataset Finder
GEO series

Irgm1-Ifi35 Axis Promotes Renal Cancer Cell Immune Evasion Through Reprogramming the Differentiation of Myeloid-derived Suppressor Cell.

GSE253783 Mus musculus Expression profiling by high throughput sequencing 5 samples Submitted 2025/12/31 Platform GPL24247
Summary
The management of cancers has been revolutionized by PD-1 blockade. However, most renal cell carcinoma (RCC) patients do not respond to anti-PD-1 antibodies. Here, we conducted anti-PD-1 treatment using a mouse model of RCC. We identified an immune-resistant subpopulation with high expression of immunity-related GTPase Irgm1 using a DNA barcoding system integrated with single-cell RNA sequencing. Next, the results of CyTOF analysis demonstrated a significant increase in Ly6ClowLy6G-CCL5+ M2-type macrophages after immunotolerance. These macrophages were differentiated from MDSCs and exhibited greater immunosuppressive capabilities than MDSC precursors. We also established contact between high-Irgm1 tumor cells and MDSC differentiation. We identify the tumor-secreted IFN-induced protein Ifi35 as an inhibitor for the differentiation of MDSCs, and Irgm1 facilitates the autophagic degradation of Ifi35 through p62-dependent selective autophagy, which results in the generation of MDSC-derived strongly immunosuppressive macrophages. We further demonstrated that Ifi35 in combination with anti-PD-1 antibody have synergistic therapeutic benefits for RCC.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE253783_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 PRJNA1067131 and SRA study SRP484951. 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.