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Adipocyte-specific deletion of gp130 prevents ketogenic AQ1 diet–induced hepatic steatosis

GSE294746 Mus musculus (mouse) RNA-seq (gene expression) 23 samples Submitted 2025/08/07 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 23 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
23 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
Adipocyte-specific deletion of gp130 prevents ketogenic diet-induced hepatic steatosisHepatology communications · 2025
Summary (written by the submitters)
Metabolic dysfunction-associated fatty liver disease (MASLD), the hepatic manifestation of obesity and type 2 diabetes (T2D), can progress to metabolic dysfunction-associated steatohepatitis (MASH) and fibrosis. MASLD is characterized by elevated hepatic lipid accumulation (steatosis) and insulin resistance. Ketogenic diet (KD), a high-fat, low-carbohydrate diet, induces hepatic insulin resistance and steatosis in animal models through unknown mechanisms.
Read the full summary ↓
Our studies demonstrate the importance of adipose tissue-liver crosstalk in mediating MASLD progression and identify adipocyte IL-6-gp130 as a potential therapeutic target.
Published in
Adipocyte-specific deletion of gp130 prevents ketogenic diet-induced hepatic steatosis
Senkalfa B, Gloor M, Podlaszewski R et al. · Hepatology communications 2025 · PMID 40864559 · doi:10.1097/HC9.0000000000000782
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 GSE294746_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 PRJNA1251539 and SRA study SRP579202. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 23 more — browse all 23 samples with per-sample file links →

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