GEO series

The m6A demethylase FTO controls activation-induced cell death in effector CD8+ T cells by modulating Fas expression

GSE270717 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2025/04/15 Platform GPL13112

At a glance

RNA-seq (gene expression) · mouse · 10 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: 10 samples: 3 × FTO-KO-RNA-seq vs 3 × FTO-WT-RNA-seqGroups 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: FTO controls CD8(+) T cell survival and effector response by modulating m(6)A methylation of FasCell death & disease · 2025

Summary (written by the submitters)

Functional CD8+ T cell immune response is critical for immune surveillance and host defense against infection and tumor. Epigenetic mechanisms associated with RNA modification in controlling CD8+ T cell response remain poorly understood. Here, by T cell-specific deletion of fat mass and obesity-associated protein (FTO), a critical N6-methyladenosine (m6A) demethylase, we revealed that FTO was indispensable for sufficient CD8+ T cell immune response and protective function.

Read the full summary ↓

FTO ablation led to considerable cell death in activated CD8+ T cells, which was attributed to apoptosis. MeRIP-seq analysis identified the upregulated m6A modification on Fas mRNA in FTO deficient CD8+ T cells. Loss of FTO promoted Fas expression via enhancing the Fas mRNA stability dependent on m6A reader IGF2BP3. Mutation of the Fas m6A sites or knockdown IGF2BP3 could rescue the upregulated Fas expression and cell apoptosis caused by FTO ablation in CD8+ T cells. Our findings defined a novel epigenetic regulatory mechanism of FTO-mediated m6A modification in supporting CD8+ T cell immune responses, providing new insights into understanding the post-transcriptional regulation in CD8+ T cell immunological functions.

Published in

FTO controls CD8(+) T cell survival and effector response by modulating m(6)A methylation of Fas

Sun L, Zhang T, Ge Y et al. · Cell death & disease 2025 · PMID 40234389 · doi:10.1038/s41419-025-07606-z

This dataset

Open GSE270717 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 GSE270717_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 PRJNA1128070 and SRA study SRP516053. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40234389) ↗

Study design

3 × FTO-KO-RNA-seq vs 3 × FTO-WT-RNA-seq

Supports a between-group comparison across 6 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 6 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

GSM8350563 m6A-KO-Input
GSM8350564 m6A-KO-IP
GSM8350565 m6A-WT-Input
GSM8350566 m6A-WT-IP
GSM8350567 FTO-KO-RNA-seq-1 FTO-KO-RNA-seq
GSM8350568 FTO-KO-RNA-seq-2 FTO-KO-RNA-seq
GSM8350569 FTO-KO-RNA-seq-3 FTO-KO-RNA-seq
GSM8350570 FTO-WT-RNA-seq-1 FTO-WT-RNA-seq
GSM8350571 FTO-WT-RNA-seq-2 FTO-WT-RNA-seq
GSM8350572 FTO-WT-RNA-seq-3 FTO-WT-RNA-seq

Datasets on a similar topic

GSE255887 HDAC1 controls the generation and maintenance of effector-like CD8+ T cells during chronic viral infection 76 samples shares cd8, controls, effector
GSE261250 Gfi1 controls the formation of effector CD8+ T cells during chronic infection and cancer 47 samples shares cd8, controls, effector
GSE317032 Non-cytolytic viral vaccine vectors induce durable effector-memory CD8 T cell immunity by triggering type I interferon 18 samples shares cd8, effector
GSE302682 Sleeping Beauty mutagenesis identifies BACH2 and other regulators promoting CD8+ T cell persistence and effector function under tumor-associated chronic antigen stimulation - RNAseq 66 samples shares cd8, effector
GSE342312 T-bet and Runx3 orchestrate effector CD8 T cell differentiation and lineage fidelity through cooperative and distinct chromatin regulatory mechanisms [Multi-omics] 40 samples shares cd8, effector
GSE342096 Distinct activation programs in naïve and memory CD8 T cells govern progeny stemness and effector persistence 37 samples shares cd8, effector
GSE306744 Pre-division TCF1 downregulation determines long-term effector and memory CD8 T cell fates [RNA-Seq] 31 samples shares cd8, effector
GSE248272 Therapeutically targeting perivascular macrophage effector function improves CD8+ T-cell infiltration and response to chemotherapeutic drugs in cancer 30 samples shares cd8, effector

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.