← BioTransfer GEO Dataset Finder
GEO series

AMPK is necessary for Treg functional adaptation to microenvironmental stress during malignancy and viral pneumonia

GSE249017 Mus musculus (mouse) RNA-seq (gene expression) 41 samples Submitted 2025/03/19 Platform GPL19057Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 41 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
41 samples: 5 conditions, mostly with about 4 replicates eachGroups 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
AMPK is necessary for Treg functional adaptation to microenvironmental stress during malignancy and viral pneumoniaThe Journal of clinical investigation · 2025
Summary (written by the submitters)
CD4+FOXP3+ regulatory T (Treg) cells maintain self-tolerance, suppress the immune response to cancer, and protect against tissue injury in the lung and other organs. Treg cells require mitochondrial metabolism to exert their function, but how Treg cells adapt their metabolic programs to sustain and optimize their function during an immune response occurring in a metabolically stressed microenvironment remains unclear.
Read the full summary ↓
Here, we tested whether Treg cells require the energy homeostasis-maintaining enzyme AMP-activated protein kinase (AMPK) to adapt to metabolically aberrant microenvironments caused by malignancy or lung injury, finding that AMPK is dispensable for Treg cell immune-homeostatic function but is necessary for full Treg cell function in B16 melanoma tumors and during acute lung injury caused by influenza virus pneumonia. AMPK-deficient Treg cells had lower mitochondrial mass and exhibited an impaired ability to maximize aerobic respiration. Mechanistically, we found that AMPK regulates DNA methyltransferase 1 to promote transcriptional programs associated with mitochondrial function in the tumor microenvironment. In the lung during viral pneumonia, we found that AMPK sustains metabolic homeostasis and mitochondrial activity. Induction of DNA hypomethylation was sufficient to rescue mitochondrial mass in AMPK-deficient Treg cells, linking DNA methylation with AMPK function and mitochondrial metabolism. These results define AMPK as a determinant of Treg cell adaptation to metabolic stress and offer potential therapeutic targets in cancer and tissue injury.
Published in
AMPK is necessary for Treg functional adaptation to microenvironmental stress during malignancy and viral pneumonia
Torres Acosta MA, Gurkan JK, Liu Q et al. · The Journal of clinical investigation 2025 · PMID 40100289 · doi:10.1172/JCI179572
This dataset
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.

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 GSE249017_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1047023 and SRA study SRP475140. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly with about 4 replicates each
Day12_Treg_B16F10_DKO ×8 Day12_Treg_B16F10_DKO_control ×6 Day12_Treg_B16F10_a1SKO ×4 Day12_Treg_B16F10_a2SKO ×4 Day12_Treg_B16F10_SKO_control ×3 SplenocyteTreg_homeostasis_control_01, RNA-seq ×1 SplenocyteTreg_homeostasis_control_02, RNA-seq ×1 SplenocyteTreg_homeostasis_control_03, RNA-seq ×1 +13 more

Supports a between-group comparison across 25 samples.

How we read this: 5 replicated groups read from 41 sample titles; they account for 25 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

+ 1 more — browse all 41 samples with per-sample file links →

Datasets on a similar topic

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.