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Hepatoprotective effects of late-stage clinical drug candidates and dietary intervention in the non-obese CDAA-HFD mouse model of advanced MASH with progressive fibrosis

GSE269493 Mus musculus (mouse) RNA-seq (gene expression) 81 samples Submitted 2024/10/10 Platform GPL21626
At a glance

RNA-seq (gene expression) · mouse · 81 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
81 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
Characterization of six clinical drugs and dietary intervention in the nonobese CDAA-HFD mouse model of MASH and progressive fibrosisAmerican journal of physiology. Gastrointestinal and liver physiology · 2025
Summary (written by the submitters)
We applied RNA sequencing (RNA-seq) to study the gene expression profile in the liver of mice fed the CDAA-HFD for 3 weeks (n=9), 6 weeks (n=10), 12 weeks (n=8) and 20 weeks (n=8) and lean chow controls (n=8). At all timepoints, CDAA-HFD mice displayed a widespread increase in the expression of MASH candidate genes related to inflammation, hepatocellular injury and ECM organization as compared to chow-fed controls.
Read the full summary ↓
Gene expression was further studied in response to chow reversal (n=9), semaglutide (n=9) and lanifibranor (n=10) as compared to Vehicle (n=10). Chow reversal and lanifibranor, induced wide-spread transcriptional changes in MASH candidate genes while semaglutide showed only discrete effects on candidate genes.
Published in
Characterization of six clinical drugs and dietary intervention in the nonobese CDAA-HFD mouse model of MASH and progressive fibrosis
Nielsen MH, Nøhr-Meldgaard J, Møllerhøj MB et al. · American journal of physiology. Gastrointestinal and liver physiology 2025 · PMID 39404770 · doi:10.1152/ajpgi.00110.2024
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 GSE269493_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 PRJNA1122143 and SRA study SRP512909. Searching any of these in the dataset finder brings you back here.

Samples in this study

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