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Liver RNA-seq from obese mice following Roux-en-Y gastric bypass or sham surgery under chow or high-fat diet conditions

GSE303852 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2026/02/25 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 5 × liver, sham chow, vs 5 × liver, RYGB chow, vs 5 × liver, sham HFD, vs 5 × liver, RYGB HFD,Groups 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
Analysis of Roux-en-Y Gastric Bypass and High-Fat Feeding Reveals Hepatic Transcriptome Reprogramming: Ironing out the DetailsJournal of clinical medicine · 2026
Summary (written by the submitters)
This study investigates how Roux-en-Y gastric bypass (RYGB) and high-fat diet (HFD) influence liver gene expression in mice. RNA sequencing was performed on liver samples from diet-induced obese male C57BL/6 mice that underwent either RYGB or sham surgery, followed by an 8-week post-operative period on either chow or HFD. Raw sequencing reads (FASTQ) and gene-level count data are provided to support investigation of RYGB- and diet-associated transcriptional changes in hepatic tissue.
Published in
Analysis of Roux-en-Y Gastric Bypass and High-Fat Feeding Reveals Hepatic Transcriptome Reprogramming: Ironing out the Details
Stevenson M, Tirumalasetty MB, Srivastava A et al. · Journal of clinical medicine 2026 · PMID 41598416 · doi:10.3390/jcm15020479
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 GSE303852_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 PRJNA1297769 and SRA study SRP604052. Searching any of these in the dataset finder brings you back here.

Study design
5 × liver, sham chow, vs 5 × liver, RYGB chow, vs 5 × liver, sham HFD, vs 5 × liver, RYGB HFD,

Supports a between-group comparison across 20 samples.

How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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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