GEO series

Hetereogenity of liver Treg in the CDAHFD model of MASH

GSE314148 Mus musculus (mouse) Single-cell RNA-seq 1 samples Submitted 2026/02/02 Platform GPL19057

At a glance

Single-cell RNA-seq · mouse · 1 samples

What it is: Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism: Mus musculus (mouse)
Samples: 1 samples
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: Regulatory T cells safeguard liver health during metabolic-associated steatohepatitisProceedings of the National Academy of Sciences of the United States of America · 2026

Summary (written by the submitters)

Metabolic-dysfunction–associated steatohepatitis (MASH) is a chronic liver disease driven by the confluence of metabolic stress and destructive hepatic inflammation. The immunoregulatory mechanisms that temper this process remain poorly understood. Exploiting a complementary pair of murine models and published single-cell RNA-sequencing (scRNA-seq) datasets from human liver, we uncovered a critical protective role for Foxp3+CD4+ regulatory T cells (Tregs) in MASH.

Read the full summary ↓

Tregs progressively accumulated in the diseased liver, adopting an activated, nonlymphoid-tissue phenotype marked by the expression of Peroxisome Proliferator-Activated Receptor Gamma (PPARγ) and a reparative transcriptional program. Punctual ablation of Tregs during established MASH unleashed a catastrophic inflammatory cascade, including exaggerated T-helper (Th)1, Th2 and Th17 responses, expansion of a pathogenic CD8+ T cell population, and hepatocellular injury. Concomitantly, Treg deficiency disrupted key metabolic pathways in the liver, accelerating disease progression. These findings establish Tregs as non-redundant custodians of both immunologic and metabolic homeostasis in the liver, highlighting their promise as targets for temporally tuned immunoregulatory therapies in metabolic liver disease.

Published in

Regulatory T cells safeguard liver health during metabolic-associated steatohepatitis

Hanna BS, Langston PK, Marin-Rodero M et al. · Proceedings of the National Academy of Sciences of the United States of America 2026 · PMID 41701829 · doi:10.1073/pnas.2536314123

This dataset

Open GSE314148 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 GSE314148_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1390169 and SRA study SRP656033. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41701829) ↗

Samples in this study

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

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