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Stress-Coping Phenotypes Shape Adipose Tissue Function and Plasticity and Modulate Metabolic Resilience

GSE336483 Mus musculus (mouse) RNA-seq (gene expression) 36 samples Submitted 2026/06/28 Platform GPL30172
At a glance

RNA-seq (gene expression) · mouse · 36 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
36 samples: 8 conditions, mostly with about 5 replicates eachGroups 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.
Summary (written by the submitters)
This study investigated how stress-coping phenotypes (stress-resilient Dominant and stress-vulnerable Submissive mice) shape white adipose tissue (WAT) function under standard and high-fat diet (HFD) conditions. Metabolic, molecular, and transcriptomic analyses were performed on epididymal (eWAT) and inguinal (iWAT) white adipose tissue.
Read the full summary ↓
Results revealed that stress-vulnerable mice exhibit impaired adipogenesis, adipocyte hypertrophy, unfavorable adipokine profiles, and defective insulin signaling in WAT under HFD. Transcriptomic profiling by RNA-seq identified adipogenesis, fatty acid metabolism, and oxidative phosphorylation as differentially regulated pathways between the strains. Functional analyses confirmed reduced proliferative and adipogenic potential of stromal vascular fraction (SVF) cells from stress-vulnerable mice. Pharmacological activation of PPARgamma (pioglitazone) improved adipogenesis and metabolic parameters, while antidepressant treatment (paroxetine) normalized behavioral deficits and improved adipogenic capacity in stress-vulnerable mice.
This dataset
Open GSE336483 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 GSE336483_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 PRJNA1481695 and SRA study SRP712342. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly with about 5 replicates each
Mus musculus, epididymal WAT, Submissive (Sub… ×5 Mus musculus, epididymal WAT, Submissive (Sub… ×5 Mus musculus, epididymal WAT, Dominant (Dom) … ×5 Mus musculus, epididymal WAT, Dominant (Dom) … ×5 Mus musculus, inguinal WAT, Submissive (Sub) … ×4 Mus musculus, inguinal WAT, Submissive (Sub) … ×4 Mus musculus, inguinal WAT, Dominant (Dom) mo… ×4 Mus musculus, inguinal WAT, Dominant (Dom) mo… ×4

Supports a between-group comparison across 36 samples.

How we read this: 8 replicated groups read from 36 sample titles; they account for 36 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
Datasets on a similar topic

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.