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Sex- and hepatocyte Pparg-dependent hepatic effects of a high fat diet containing 60% kcal from fat and 2% cholesterol, which was supplemented with 10% fructose in the drinking water (HFC+Fr) to induce diet-induced obesity in male and female mice.

GSE315007 Mus musculus (mouse) RNA-seq (gene expression) 30 samples Submitted 2026/04/06 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 30 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
30 samples: 6 conditions, mostly with about 5 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
Sex- and hepatocyte PPAR(γ)-dependent effects of an obesogenic dietary approach to induce MASH with fibrosis in micebioRxiv : the preprint server for biology · 2026
Summary (written by the submitters)
Most western diets or Amilyn-based diets induce MASLD and MASH in mice but do not fully reproduce metabolic dysfunction in male and female mice. In this study, a high fat diet containing cholesterol (D12120101, Research Diets, Inc) supplemented with 10% w/v fructose in the drinking water (HFC+Fr diet) was provided to control and hepatocyte specific Pparg knockout male and female mice for 24 weeks.
Read the full summary ↓
Both HFC+Fr-fed male and female mice developed obesity and insulin resistance. Only male mice developed clear signs of MASH with fibrosis. Hepatocyte specific Pparg had a significant effect in the regulation of hepatic transcriptomics in HFC+Fr-fed male mice.
Published in
Sex- and hepatocyte PPAR(γ)-dependent effects of an obesogenic dietary approach to induce MASH with fibrosis in mice
Sierra-Cruz M, Hawro I, Lee SM et al. · bioRxiv : the preprint server for biology 2026 · PMID 41889940 · doi:10.64898/2026.02.25.707976
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 GSE315007_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 PRJNA1394781 and SRA study SRP658354. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 5 replicates each
M-HF-C ×6 F-LF-C ×5 F-HF-C ×5 M-HF-KO ×5 F-HF-KO ×5 M-LF-C ×4

Supports a between-group comparison across 30 samples.

How we read this: 6 replicated groups read from 30 sample titles; they account for 30 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
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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.