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Diet-Induced Obesity Disrupts Sexually Dimorphic Gene Expression in Liver and Adipose Tissue in Mice

GSE262523 Mus musculus (mouse) RNA-seq (gene expression) 48 samples Submitted 2025/07/30 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 48 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
48 samples: 16 conditions, mostly in triplicateGroups 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
Diet-induced obesity disrupts sexually dimorphic gene expression in miceAmerican journal of physiology. Cell physiology · 2025
Summary (written by the submitters)
Biological sex impacts on the prevalence, incidence, and severity of metabolic disorders associated to obesity, particularly type 2 diabetes. To elucidate the influence of sex on metabolic diseases during obesity progression, we conducted a comprehensive metabolic and transcriptomic analysis aiming to unravel the dynamics of metabolic adaptations to an obesogenic diet in both female and male mice.Males fed high-fat diet (HFD) displayed a progressive increase in glucose
Read the full summary ↓
intolerance, fasting hyperglycemia, hyperinsulinemia, and impaired glucose-dependent insulin secretion, concomitant with increased adiposity and liver steatosis. Interestingly, females displayed a comparable increase in relative adiposity, but exhibited milder glucose intolerance, hyperglycemia, and lower insulin levels, which remained responsive to glucose even at advanced stages.These phenotypic disparities were mirrored by divergent gene expression profiles in liver and visceral white adipose tissue in males and females in response to HFD. Notably, variations in the regulation of diverse pathways and gene categories were observed between sexes in response to HFD, including differential regulation of genes within the same categories. Intriguingly, genes exhibiting sex dimorphism under regular dietary conditions were proportionally highly regulated in response to HFD. Indeed, a substantial part of the liver genes with sex dimorphism in regular diet lost their sex bias in animals in HFD, and this effect was even more pronounced in white adipose tissue, uncovering a substantial loss of sex dimorphism in the gene profile in liver and visceral white adipose tissue in response to HFD. These results indicate that there are different gene sets regulated in a sex-specific manner in response to metabolic perturbations, and metabolic disturbances are associated with a loss of sexually dimorphic gene expression in liver and adipose tissue in mice. These findings suggest that the sex bias gene expression profile is pivotal for maintaining metabolic homeostasis in both sexes, which may have broad implications in metabolic disturbances. Moreover, these sex-specific divergences highlight the importance of considering sex as a crucial factor when interpreting data related to metabolic disturbances.
Published in
Diet-induced obesity disrupts sexually dimorphic gene expression in mice
Ribas V, Morón-Ros S, Marí H et al. · American journal of physiology. Cell physiology 2025 · PMID 40758559 · doi:10.1152/ajpcell.00098.2025
This dataset
Open GSE262523 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 GSE262523_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: 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 PRJNA1092113 and SRA study SRP497963. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40758559) ↗
Study design
16 conditions, mostly in triplicate
LV_HFD_12WK_F ×3 LV_RD_12WK_F ×3 LV_HFD_2WK_F ×3 LV_RD_2WK_F ×3 LV_HFD_12WK_M ×3 LV_RD_12WK_M ×3 LV_HFD_2WK_M ×3 LV_RD_2WK_M ×3 +8 more

Supports a between-group comparison across 48 samples.

How we read this: 16 replicated groups read from 48 sample titles; they account for 48 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

+ 8 more — browse all 48 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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