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Dietary oleic acid drives obesogenic adipogenesis via modulation of LXRasignaling

GSE273569 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/03/16 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 3 × VWAT_MALE_SD vs 3 × SWAT_MALE_SD vs 3 × VWAT_MALE_HFD vs 3 × SWAT_MALE_HFDGroups 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
Dietary oleic acid drives obesogenic adipogenesis via modulation of LXRα signalingCell reports · 2025
Summary (written by the submitters)
Dietary fat composition has changed substantially as the obesity epidemic has spread. Adipocyte hyperplasia is a major mechanism of fat mass expansion in obesity, but how dietary fats contribute to obesogenic adipocyte hyperplasia is unknown. Here we employed various dietary strategies, including an unbiased dietary screen, to determine the effect of dietary fat composition on adipocyte hyperplasia in mice.
Read the full summary ↓
We identified oleic acid (OA) as the only dietary fatty acid that induces adipogenesis and obesogenic hyperplasia at physiologic levels. OA induced differentiation via AKT2 signaling, a hallmark of obesogenic hyperplasia. We also demonstrate that reduction of LXR signaling in APCs is necessary for OA-stimulated adipogenesis. Furthermore, blocking LXRaphosphorylation at S196 results in APC hyperproliferation upon HFD feeding, suggesting that LXRaphosphorylation inhibits HFD-stimulated proliferation. As OA is associated with numerous health effects, our findings that OA is a unique physiologic metabolic regulator underscores the importance of understanding the mechanisms by which OA effects metabolic health.
Published in
Dietary oleic acid drives obesogenic adipogenesis via modulation of LXRα signaling
Wing A, Jeffery E, Church CD et al. · Cell reports 2025 · PMID 40208790 · doi:10.1016/j.celrep.2025.115527
This dataset
Open GSE273569 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 GSE273569_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 PRJNA1142435 and SRA study SRP523339. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40208790) ↗
Study design
3 × VWAT_MALE_SD vs 3 × SWAT_MALE_SD vs 3 × VWAT_MALE_HFD vs 3 × SWAT_MALE_HFD

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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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