← BioTransfer GEO Dataset Finder
GEO series

Tumor-intrinsic expression of signal regulatory protein α (SIRPα) contributes to the suppression of anti-tumor immune responses [RNA_CD172KO]

GSE319206 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2026/04/27 Platform GPL24247
Summary
Signal regulatory protein α (SIRPα) is a well-characterized inhibitory receptor expressed on myeloid immune cells. We and others have recently discovered that human and mouse melanoma cells express high levels of SIRPα. However, whether and how melanoma-intrinsic SIRPα contributes to tumor progression and anti-tumor immunity remains underexplored. Here, we identify a novel role of tumor-intrinsic SIRPα in suppressing anti-tumor immune recruitment and activation. Genetic deletion of SIRPα in melanoma cells enhanced tumor control and increased infiltration of immune cells into the tumor. Transcriptomic analysis revealed that loss of melanoma cell-intrinsic SIRPα leads to upregulation of C-X-C motif chemokine 10 (CXCL10) expression in both human and mouse melanoma cells. Notably, knockdown of Cxcl10 in SIRPα-deficient melanoma cells partially rescued tumor growth and reduced CD8+ T cell infiltration, recapitulating the phenotype observed in SIRPα-expressing tumors. These findings indicate that tumor cell-intrinsic SIRPα suppresses anti-tumor immunity by inhibiting Cxcl10 expression, thereby compromising T cell recruitment to the tumor sites. Thus, our work uncovers a previously unrecognized mechanism by which melanoma cell-intrinsic SIRPα suppresses anti-tumor immunity and highlights the therapeutic potential of silencing SIRPα to enhance anti-tumor immune cell infiltration and promote T cell-mediated tumor control. We envision that SIRPα silencing as a therapeutic strategy that could be applied to other cancer types that express SIRPα.
Published in
Tumor-intrinsic expression of signal regulatory protein α contributes to the suppression of anti-tumor immune responses
Weng CH, Schochet C, Panneton V et al. · Cell reports 2026 · PMID 42213780 · doi:10.1016/j.celrep.2026.117443
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE319206_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1422623 and SRA study SRP676459. 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.

+ 6 more — browse all 6 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.