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Downregulation of Ezh2 promotes the differentiation of short-lived effector CD8 T cells and weakens antitumor immunity

GSE305573 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/07/29 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
12 samples: 3 × WT_CD8_d3 vs 3 × Ezh2_KO_CD8_d3 vs 3 × WT_CD8_d5 vs 3 × Ezh2_KO_CD8_d5Groups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
Ezh2 Inhibits the Differentiation of Short-Lived Effector CD8(+) T Cells and Promotes T Cell-Dependent Antitumor ImmunityCancer science · 2026
Summary (written by the submitters)
T-cell function is epigenetically regulated, however its precise role in tumor immunity is not fully understood. Ezh2 promotes transcriptional silencing through trimethylation of histone H3K27. We previously reported that the methylation level of histone H3K27 decreases in terminally differentiated and senescent T cells. In this study, we analyzed the role of Ezh2 in the differentiation of effector CD8⁺ T cells and antitumor immunity.
Read the full summary ↓
In a mouse tumor model, T-cell-specific Ezh2 KO mice exhibited reduced initial tumor growth compared to wild-type (WT) mice, but tumors grew rapidly after day 7. The number of CD8⁺ T cells in tumor-infiltrating lymphocytes (TILs) was significantly decreased in Ezh2 KO mice. We found that although the expression of effector molecules was rapidly increased in Ezh2 KO CD8⁺ T cells compared to WT cells, apoptotic cell death was also rapidly induced after activation. RNA-sequencing revealed that the expression of effector signature genes was upregulated in Ezh2 KO effector CD8⁺ T cells, along with the expression of apoptosis-related genes. These findings suggest that Downregulation of Ezh2 promotes the differentiation of short-lived effector CD8 T cells and weakens antitumor immunity. These findings suggest that downregulation of Ezh2 promotes the differentiation of short-lived effector CD8⁺ T cells and impairs sustained antitumor immunity. Maintaining appropriate levels of H3K27 trimethylation may be essential for the long-term persistence of effective antitumor T cell responses.
Published in
Ezh2 Inhibits the Differentiation of Short-Lived Effector CD8(+) T Cells and Promotes T Cell-Dependent Antitumor Immunity
Takagi K, Suzuki J, Matsuoka Y et al. · Cancer science 2026 · PMID 42227608 · doi:10.1111/cas.70439
This dataset
Open GSE305573 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE305573_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1306545 and SRA study SRP609153. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42227608) ↗
Study design
3 × WT_CD8_d3 vs 3 × Ezh2_KO_CD8_d3 vs 3 × WT_CD8_d5 vs 3 × Ezh2_KO_CD8_d5

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
Datasets on a similar topic

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