GEO series

Stochasticity in cancer immunotherapy stems from rare but functionally-critical Spark T cells

GSE292937 Mus musculus Genome binding/occupancy profiling by high throughput sequencing 4 samples Submitted 2025/07/14 Platform GPL30172

Summary

Cancer immunotherapies trigger highly variable responses in patients and in genetically identical mice models. To assess the intrinsic stochasticity of these therapies, we performed thousands of well-controlled ex vivo immunoassays. We show that leukocyte responses and tumor cytotoxicity are highly variable at the macroscopic level and statistically distributed as a shifted Poisson process. Stochastic activation of a rare subpopulation of T cells (so-called Spark T cells) coupled to a paracrine IFN-γ- driven positive feedback account for this measured “noise” in immunotherapeutic reactions. We integrated these quantitative insights in a custom-designed machinelearning pipeline to analyze immune reactions with single-cell resolution; this led us to phenotypically and functionally identify the Spark T cells in murine naïve T cells, and in human T cell blasts, as prepared for adoptive T cell therapy. We then demonstrate their relevance in explaining variable outcomes in cancer immunotherapies.

This dataset

Open GSE292937 in finder → Find more mouse ChIP / ATAC / CUT&Tag datasets →

Download

Direct links to NCBI, no account and no request form: the whole study as GSE292937_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.

Whole study · RAW.tar ↓ Series matrix ↓ All supplementary files ↗ Raw reads on ENA ↗

Also filed as BioProject PRJNA1242189 and SRA study SRP573178. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

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 ChIP / ATAC / CUT&Tag 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.