← BioTransfer GEO Dataset Finder
GEO series

Multi-organ proteomic atlas of obesity regression in male mice

GSE338985 Mus musculus Expression profiling by high throughput sequencing 94 samples Submitted 2026/07/17 Platform GPL24247
Summary
Obesity drives systemic metabolic dysfunction, yet how the body adapts and recovers at a system-wide level remains unclear. Here we generate a multi-organ proteomic atlas of diet-induced obesity and its regression in male mice. Using a standardized, semi-automated sample preparation workflow, we quantify 12,936 unique proteins across 15 organs and 4 timepoints. We find proteomic changes to be highly tissue-dependent with a small number of proteins displaying shared changes across multiple tissues. While proteomes of most tissues revert to lean levels after weight loss, white adipose tissue retains strong phagocytic and inflammatory responses, and brain, kidney, bone, thymus, and spleen display delayed obesity-induced alterations. We map the adipose tissue-specific immune regulators using ligand-target inference and show reduced expression of proteasomal subunits in brown adipose tissue, resulting in stalled ubiquitin turnover. Finally, we make all datasets open access and create an interactive webtool to facilitate further community-driven discovery.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE338985_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 94 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1496755 and SRA study SRP718849. Searching any of these in the dataset finder brings you back here.

Study design
40 conditions, each sampled once — no replicated groups

Read from the first 40 of 94 sample titles: 40 distinct titles with little repetition. Check it against the sample list below before relying on it.

Samples in this study

+ 54 more — browse all 94 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.